New World mabuyine skinks are a diverse radiation of morphologically cryptic lizards with unique reproductive biologies. Recent studies examining population-level data (morphological, ecological, and genomic) have uncovered novel biodiversity and phenotypes, including the description of dozens of new species and insights into the evolution of their highly complex placental structures. Beyond the potential for this diverse group to serve as a model for the evolution of viviparity in lizards, much of the taxonomic diversity is concentrated in regions experiencing increasing environmental instability from climate and anthropogenic change. Consequently, a better understanding of genome structure and diversity will be an important tool in the adaptive management and conservation of this group. Skinks endemic to Caribbean islands are particularly vulnerable to global change with several species already considered likely extinct and several remaining species either endangered or threatened. Combining PacBio long-read sequencing, Hi-C, and RNAseq data, here we present the first genomic resources for this group by describing new chromosome-level reference genomes for the Puerto Rican Skink Spondylurus nitidus and the Culebra Skink S. culebrae. Results indicate two high quality genomes, both ∼1.4 Gb, assembled nearly telomere to telomere with complete mitochondrion assembly and annotation.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/gbe/evae079","usgsCitation":"Rivera, D., Henderson, J.B., Lam, A.W., Hostetter, N.J., Collazo, J.A., and Bell, R.C., 2024, High-quality, chromosome-level reference genomes of the viviparous Caribbean skinks Spondylurus nitidus and S. culebrae: Genome Biology and Evolution, v. 16, no. 5, evae079, 7 p., https://doi.org/10.1093/gbe/evae079.","productDescription":"evae079, 7 p.","ipdsId":"IP-163789","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439837,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gbe/evae079","text":"Publisher Index Page"},{"id":433073,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Rivera, Danielle","contributorId":341265,"corporation":false,"usgs":false,"family":"Rivera","given":"Danielle","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":908162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Henderson, James B.","contributorId":341266,"corporation":false,"usgs":false,"family":"Henderson","given":"James","email":"","middleInitial":"B.","affiliations":[{"id":12937,"text":"California Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":908163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lam, Athena W.","contributorId":341267,"corporation":false,"usgs":false,"family":"Lam","given":"Athena","email":"","middleInitial":"W.","affiliations":[{"id":12937,"text":"California Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":908164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hostetter, Nathan J. 0000-0001-6075-2157 nhostetter@usgs.gov","orcid":"https://orcid.org/0000-0001-6075-2157","contributorId":198843,"corporation":false,"usgs":true,"family":"Hostetter","given":"Nathan","email":"nhostetter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":908165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collazo, Jaime A. 0000-0002-1816-7744","orcid":"https://orcid.org/0000-0002-1816-7744","contributorId":217287,"corporation":false,"usgs":true,"family":"Collazo","given":"Jaime","email":"","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908166,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bell, Rayna C.","contributorId":341268,"corporation":false,"usgs":false,"family":"Bell","given":"Rayna","email":"","middleInitial":"C.","affiliations":[{"id":12937,"text":"California Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":908167,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262577,"text":"70262577 - 2024 - A toolbox for improving reclamation success: Joint USGS-BLM report establishes best management practices for oil and gas operations, monitoring methods, and standards","interactions":[],"lastModifiedDate":"2025-01-21T17:14:40.212979","indexId":"70262577","displayToPublicDate":"2024-04-15T11:09:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19895,"text":"Reclamation Matters","active":true,"publicationSubtype":{"id":10}},"title":"A toolbox for improving reclamation success: Joint USGS-BLM report establishes best management practices for oil and gas operations, monitoring methods, and standards","docAbstract":"The U. S. Geological Survey, in partnership with the Bureau of Land Management, recently published an oil and gas reclamation techniques and methods report that provides land managers and oil and gas operators specific guidance and best management practices for development impacts, successfully reclaiming disturbed lands during and after oil and gas activities. Resource inventory, monitoring, and protection of oil and gas sites are mandated by federal statutes and regulations, yet this is the first publication defining standards and guidelines for how to successfully monitor soil and vegetation outcomes disturbed oil and gas sites and evaluate those monitoring data against standards available at a national level. The report emphasizes the importance of best management practices, clear standards, effective monitoring and minimizing surface disturbance for successful land reclamation.","language":"English","publisher":"American Society of Reclamation Sciences (ASRS)","usgsCitation":"Duniway, M.C., and Hartwell, M.A., 2024, A toolbox for improving reclamation success: Joint USGS-BLM report establishes best management practices for oil and gas operations, monitoring methods, and standards: Reclamation Matters, no. Spring 2024, p. 40-41.","productDescription":"2 p.","startPage":"40","endPage":"41","ipdsId":"IP-163449","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":480840,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.asrs.us/wp-content/uploads/2024/10/Reclamation-Matters_Spring-2024.pdf"},{"id":480842,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"issue":"Spring 2024","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":4212,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":924601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartwell, Meredith A. 0000-0001-6350-5450 mhartwell@usgs.gov","orcid":"https://orcid.org/0000-0001-6350-5450","contributorId":4842,"corporation":false,"usgs":true,"family":"Hartwell","given":"Meredith","email":"mhartwell@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":924602,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70253005,"text":"70253005 - 2024 - Vegetation loss following vertical drowning of Mississippi River deltaic wetlands leads to faster microbial decomposition and decreases in soil carbon","interactions":[],"lastModifiedDate":"2024-04-16T15:45:51.500784","indexId":"70253005","displayToPublicDate":"2024-04-15T10:37:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Vegetation loss following vertical drowning of Mississippi River deltaic wetlands leads to faster microbial decomposition and decreases in soil carbon","docAbstract":"Wetland ecosystems hold nearly a third of the global soil carbon pool, but as wetlands rapidly disappear the fate of this stored soil carbon is unclear. The aim of this study was to quantify and then link potential rates of microbial decomposition after vertical drowning of vegetated tidal marshes in coastal Louisiana to known drivers of anaerobic decomposition altered by vegetation loss. Profiles of potential CH4 and CO2 production (surface to 60 cm deep) were measured during anaerobic incubations, organic matter chemistry was assessed with infrared spectroscopy, and soil porewater nutrients and redox potentials were measured in the field along a chronosequence of wetland loss. After vertical drowning, pond soils had lower redox potentials, higher pH values, lower soil carbon and nitrogen concentrations, lower lignin: polysaccharide ratios, more NH4+ and PO43−, and higher rates of potential CO2 release than vegetated marsh soils. Potential CH4 production was similar in vegetated marshes and open water ponds, with depth-dependent decreases in CH4 production as soil carbon concentrations increased. In these anoxic soils, vegetation loss exerts a primary control on decomposition rates because flooding drives sustained increases in porewater nutrient availability (NH4+ and PO43, dissolved organic carbon) and decreases in redox potential (from −150 to −500 mV) that lead to higher potential CO2 fluxes within a few years. Without new carbon inputs following wetland loss, the sustained decomposition in open water ponds may lead to losses of stored soil carbon and could influence global carbon budgets.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JG007832","usgsCitation":"Creamer, C., Waldrop, M., Stagg, C., Manies, K.L., Baustian, M.M., Laurenzano, C., Aw, T.G., Haw, M., Merino, S., Schoolmaster, D.R., Sevilgen, S.N., Villani, R.K., and Ward, E., 2024, Vegetation loss following vertical drowning of Mississippi River deltaic wetlands leads to faster microbial decomposition and decreases in soil carbon: JGR Biogeosciences, v. 129, no. 4, e2023JG007832, 17 p., https://doi.org/10.1029/2023JG007832.","productDescription":"e2023JG007832, 17 p.","ipdsId":"IP-156115","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":434988,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9YJ25DP","text":"USGS data release","linkHelpText":"Plant, soil, and microbial characteristics of marsh collapse in Mississippi River Deltaic wetlands"},{"id":427817,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","otherGeospatial":"Mississippi River Deltaic Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.114692623043,\n 29.608206673708935\n ],\n [\n -90.114692623043,\n 29.52716446952803\n ],\n [\n -90.0419601124058,\n 29.52716446952803\n ],\n [\n -90.0419601124058,\n 29.608206673708935\n ],\n [\n -90.114692623043,\n 29.608206673708935\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"129","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Creamer, Courtney 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To date, much of the research in this area has been focused on the direct effectiveness of different methods of deterrence. However, the effect of these structures on populations in spatially complex habitats is unknown. We combine a metacommunity model with movement data of two invasive species (bighead carp and silver carp) in a large river to assess local and river-wide scale population outcomes of deterrent locations. We calculated (1) which potential deterrent locations are most effective at reducing the growth at the invasion front (2) the river-scale population effects at each location, and (3) what, if any, are the risks imposed by altering the current spatial dynamics. We found that the effects on the population dynamics at the invasion front varied with the location of deterrents, ranging from near zero to effects equal to the reduction in an individual’s movement across the deterrent. The river-scale population growth rate was slightly increased by all potential deterrent placements because the deterrents tended to concentrate more of the river-scale population into pools with the highest recruitment rates. The short-term, transient dynamics followed a strictly decreasing pattern after deterrent placement suggesting no additional short-term risk. These results suggest that deterrents can be an effective and low-risk intervention for the control of invasive carp, although the population level effect will depend on the interaction of the traits and behavior of the species with the physical character and spatial structure of the habitat.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-024-03264-y","usgsCitation":"Schoolmaster, D.R., Cupp, A.R., Coulter, A.A., and Erickson, R.A., 2024, Multi-scale effects of behavioral movement deterrents on invasive carp metapopulations: Biological Invasions, v. 26, p. 1957-1968, https://doi.org/10.1007/s10530-024-03264-y.","productDescription":"12 p.","startPage":"1957","endPage":"1968","ipdsId":"IP-153898","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":439841,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-024-03264-y","text":"Publisher Index Page"},{"id":428070,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -90.44396631159604,\n 38.97859098451531\n ],\n [\n -90.50584005243351,\n 39.47664301354831\n ],\n [\n -90.45601361764062,\n 39.93556348922536\n ],\n [\n -89.57587065029665,\n 40.56405598106011\n ],\n [\n -89.42460876058917,\n 40.84678108964957\n ],\n [\n -89.24758626552949,\n 41.14254244385123\n ],\n [\n -89.26822098569241,\n 41.28347296384919\n ],\n [\n -88.79044078379243,\n 41.27959285231836\n ],\n [\n -88.13557238918843,\n 41.353175412020306\n ],\n [\n -87.93444927991843,\n 41.56444375028934\n ],\n [\n -87.5821359108771,\n 41.824946761859024\n ],\n [\n -87.6336995179597,\n 41.9247724140896\n ],\n [\n -88.13725499356885,\n 41.65565682607024\n ],\n [\n -88.68223686543755,\n 41.39696913619841\n ],\n [\n -89.43138913096519,\n 41.36994769606008\n ],\n [\n -89.819756558224,\n 40.656782142381616\n ],\n [\n -90.26663167316853,\n 40.29467439404223\n ],\n [\n -90.67058104178773,\n 39.93844653640866\n ],\n [\n -90.76683294120748,\n 39.70745698602491\n ],\n [\n -90.67057131228138,\n 39.51147408789487\n ],\n [\n -90.60009208093823,\n 38.89760261018182\n ],\n [\n -90.51411400700547,\n 38.92035813763263\n ],\n [\n -90.44396631159604,\n 38.97859098451531\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2024-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Schoolmaster, Donald R. Jr. 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":4746,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","suffix":"Jr.","email":"schoolmasterd@usgs.gov","middleInitial":"R.","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":899426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":899427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coulter, Alison A.","contributorId":187652,"corporation":false,"usgs":false,"family":"Coulter","given":"Alison","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":899428,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":899429,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70252799,"text":"70252799 - 2024 - Paleoenvironmental and paleoecological dynamics of the U.S. Atlantic Coastal Plain prior to and during the Paleocene-Eocene Thermal Maximum","interactions":[],"lastModifiedDate":"2026-02-11T15:03:06.655831","indexId":"70252799","displayToPublicDate":"2024-04-15T09:22:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2294,"text":"Journal of Foraminiferal Research","active":true,"publicationSubtype":{"id":10}},"title":"Paleoenvironmental and paleoecological dynamics of the U.S. Atlantic Coastal Plain prior to and during the Paleocene-Eocene Thermal Maximum","docAbstract":"We studied the rapid paleo-environmental changes and the corresponding biotic responses of benthic foraminifera of a shallow shelf site during the late Paleocene and the Paleocene-Eocene Thermal Maximum (PETM). The PETM is globally characterized by a negative δ13C excursion in marine and terrestrial sediments. Isotope data from the Atlantic Coastal Plain from the South Dover Bridge core, Maryland, show an additional small δ13C excursion just below the base of the PETM: the “pre-onset excursion” (POE). The benthic foraminiferal and coupled grain-size record of the late Paleocene indicates a well-oxygenated, current-dominated environment with a stable, high food supply. During the POE, bottom currents become subdued and finer-grained sediment accumulation increased. These changes are partially reversed after the end of the POE. Before the PETM the river influence increases again, food supply becomes more pulsed and the benthic taxa, typically connected to the PETM, start to appear in those gradually warming conditions. During the PETM, the environment shifts to a river-dominated one, with strongly reduced currents. The low-diversity PETM fauna thrives under episodic low-oxygen conditions, caused by river-induced stratification, while the Paleocene assemblage nearly vanishes from the record. Gradually the environment begins to recover, the grain size shows an uptick in bottom currents and pre-PETM foraminifera become more abundant again, indicating increased oxygen levels and a more stable food supply. While the overall environmental shifts at South Dover Bridge fit within the observations across the shelf, the POE related insights are so far unique. Our bathymetric reconstructions show an outer neritic paleodepth (∼100 m) during the Paleocene, with a modest sea level rise in the core phase of the PETM, which is subsequently reversed during the recovery phase.
","language":"English","publisher":"Cushman Foundation for Foraminiferal Research","doi":"10.61551/gsjfr.54.2.143","usgsCitation":"Doubrawa, M., Stassen, P., Robinson, M., and Speijer, R.P., 2024, Paleoenvironmental and paleoecological dynamics of the U.S. Atlantic Coastal Plain prior to and during the Paleocene-Eocene Thermal Maximum: Journal of Foraminiferal Research, v. 54, no. 2, p. 143-171, https://doi.org/10.61551/gsjfr.54.2.143.","productDescription":"29 p.","startPage":"143","endPage":"171","ipdsId":"IP-155467","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":499942,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.61551/gsjfr.54.2.143","text":"Publisher Index Page"},{"id":427906,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Delaware, Maryland, New Jersey, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.10891649169822,\n 40.518453890233616\n ],\n [\n -75.28202910167113,\n 40.02601228395062\n ],\n [\n -75.82167515125391,\n 39.67169552894984\n ],\n [\n -76.80684613099872,\n 39.16603352302238\n ],\n [\n -78.31040700720477,\n 37.80300551616409\n ],\n [\n -78.75565773941389,\n 37.26456421852228\n ],\n [\n -75.34980892504812,\n 37.23631760218568\n ],\n [\n -73.94050523737675,\n 40.19846484676347\n ],\n [\n -74.10891649169822,\n 40.518453890233616\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"54","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Doubrawa, Monika","contributorId":332061,"corporation":false,"usgs":false,"family":"Doubrawa","given":"Monika","email":"","affiliations":[{"id":49038,"text":"KU Leuven","active":true,"usgs":false}],"preferred":false,"id":898265,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stassen, Peter","contributorId":290269,"corporation":false,"usgs":false,"family":"Stassen","given":"Peter","email":"","affiliations":[{"id":49038,"text":"KU Leuven","active":true,"usgs":false}],"preferred":false,"id":898266,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Marci M. 0000-0002-9200-4097","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":261664,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":898267,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Speijer, Robert P.","contributorId":290266,"corporation":false,"usgs":false,"family":"Speijer","given":"Robert","email":"","middleInitial":"P.","affiliations":[{"id":49038,"text":"KU Leuven","active":true,"usgs":false}],"preferred":false,"id":898268,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70260205,"text":"70260205 - 2024 - Following the tug of the audience from complex to simplified hazards maps at Cascade Range volcanoes","interactions":[],"lastModifiedDate":"2024-10-30T14:14:17.511566","indexId":"70260205","displayToPublicDate":"2024-04-15T09:05:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3841,"text":"Journal of Applied Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Following the tug of the audience from complex to simplified hazards maps at Cascade Range volcanoes","docAbstract":"Volcano-hazard maps are broadly recognized as important tools for forecasting and managing volcanic crises and for disseminating spatial information to authorities and people at risk. As scientists, we might presume that hazards maps can be developed at the time and with the methods of our discretion, yet the co-production of maps with stakeholder groups, who have programmatic needs of their own, can sway the timing, usability, and acceptance of map products.
We examine two volcano hazard map-making efforts by staff at the U.S. Geological Survey. During the 1990s and early 2000s scientists developed a series of hazard assessments and maps with detailed zonations for volcanoes in Washington and Oregon. In 2009, the National Park Service expressed the need for simplified versions of the existing hazard maps for a high-profile visitor center exhibit. This request created an opportunity for scientists to rethink the objectives, scope, content, and map representations of hazards. The primary focus of this article is a discussion of processes used by scientists to distill the most critical information within the official parent maps into a series of simplified maps using criteria specified. We contextualize this project with information about development of the parent maps, public response to the simplified hazard maps, the value of user engagement in mapmaking, and with reference to the abundance of guidance available to the next generation of hazard-mapmakers.
We argue that simplified versions of maps should be developed in tandem with any hazard maps that contain technical complexities, not as a replacement, but as a mechanism to broaden awareness of hazards. We found that when scientists endeavor to design vivid and easy-to-understand maps, people in many professions find uses for them within their organization’s information products, resulting in extensive distribution.
","language":"English","publisher":"SpringerNature","doi":"10.1186/s13617-024-00142-z","usgsCitation":"Driedger, C.L., Ramsey, D.W., Scott, W., Faust, L.M., Bard, J., and Wold, P., 2024, Following the tug of the audience from complex to simplified hazards maps at Cascade Range volcanoes: Journal of Applied Volcanology, v. 13, 4, 18 p., https://doi.org/10.1186/s13617-024-00142-z.","productDescription":"4, 18 p.","ipdsId":"IP-147027","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467016,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13617-024-00142-z","text":"Publisher Index Page"},{"id":463431,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Cascade Range volcanoes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.18889174031804,\n 48.90824166864729\n ],\n [\n -124.62276091044785,\n 48.90824166864729\n ],\n [\n -124.62276091044785,\n 42.08636486144181\n ],\n [\n -120.18889174031804,\n 42.08636486144181\n ],\n [\n -120.18889174031804,\n 48.90824166864729\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2024-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Driedger, Carolyn L. 0000-0002-4011-4112","orcid":"https://orcid.org/0000-0002-4011-4112","contributorId":204744,"corporation":false,"usgs":true,"family":"Driedger","given":"Carolyn","email":"","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917403,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ramsey, David W. 0000-0003-1698-2523 dramsey@usgs.gov","orcid":"https://orcid.org/0000-0003-1698-2523","contributorId":3819,"corporation":false,"usgs":true,"family":"Ramsey","given":"David","email":"dramsey@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917404,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scott, William E. 0000-0001-8156-979X","orcid":"https://orcid.org/0000-0001-8156-979X","contributorId":250706,"corporation":false,"usgs":true,"family":"Scott","given":"William E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917405,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Faust, Lisa M. 0000-0001-6175-8999 lisaf@usgs.gov","orcid":"https://orcid.org/0000-0001-6175-8999","contributorId":345755,"corporation":false,"usgs":true,"family":"Faust","given":"Lisa","email":"lisaf@usgs.gov","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917406,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bard, Joseph A. 0000-0003-3143-4007","orcid":"https://orcid.org/0000-0003-3143-4007","contributorId":202824,"corporation":false,"usgs":true,"family":"Bard","given":"Joseph A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917407,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wold, Patti","contributorId":345756,"corporation":false,"usgs":false,"family":"Wold","given":"Patti","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":917408,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70252797,"text":"70252797 - 2024 - Benthic foraminiferal community changes across the Miocene climatic optimum Identified by SHEBI analysis (SHE analysis for biozone identification), Calvert Cliffs, Maryland, USA","interactions":[],"lastModifiedDate":"2024-07-01T14:40:17.25546","indexId":"70252797","displayToPublicDate":"2024-04-15T09:03:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2294,"text":"Journal of Foraminiferal Research","active":true,"publicationSubtype":{"id":10}},"title":"Benthic foraminiferal community changes across the Miocene climatic optimum Identified by SHEBI analysis (SHE analysis for biozone identification), Calvert Cliffs, Maryland, USA","docAbstract":"The Calvert Cliffs, MD, an iconic section of Middle Miocene strata, have been well studied both paleontologically and stratigraphically for over a century. However, few studies of the Calvert Cliffs have looked at the benthic foraminifera. This study uses SHEBI analysis (SHE analysis for biozone identification) of benthic foraminiferal assemblages to analyze community change in the Calvert and Choptank formations of the Calvert Cliffs deposited during the Miocene Climatic Optimum (MCO; 17–14.8 Ma) and the Middle Miocene Climate Transition (MMCT; 14.8–13.8 Ma). SHE analysis differs from traditional analytical methods by defining communities based on changes in diversity rather than the relative abundance of individual species. This study uses SHE analysis on a composite section of benthic foraminiferal assemblages from three vertical transects that span the MCO and MMCT. Two communities were identified from the studied strata. Community 1 was deposited during the MCO and includes incised valley fill (IVF), transgressive system tract (TST), and highstand system tract (HST) deposits. Community 2, deposited during the MMCT, is composed of samples from TST, HST, IVF, and another HST. The assemblages of community 1 are representative of an inner to middle shelf environment whereas those of community 2 are representative of an inner shelf environment. The two foraminiferal communities differentiated by SHE analysis indicate a high relative sea level in the Salisbury Embayment during the warm MCO followed by a decrease in sea level during the subsequent cooler MMCT.
","language":"English","publisher":"Cushman Foundation for Foraminiferal Research","doi":"10.61551/gsjfr.54.2.188","usgsCitation":"Sutton, S.R., Culver, S.J., Hayek, L., Mallinson, D.J., Robinson, M., Dowsett, H., and Buzas, M.A., 2024, Benthic foraminiferal community changes across the Miocene climatic optimum Identified by SHEBI analysis (SHE analysis for biozone identification), Calvert Cliffs, Maryland, USA: Journal of Foraminiferal Research, v. 54, no. 2, p. 188-197, https://doi.org/10.61551/gsjfr.54.2.188.","productDescription":"10 p.","startPage":"188","endPage":"197","ipdsId":"IP-162208","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":439845,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.61551/gsjfr.54.2.188","text":"Publisher Index Page"},{"id":427905,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Calvert Cliffs","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.63123585226091,\n 38.59681899682204\n ],\n [\n -76.63123585226091,\n 38.33629318994147\n ],\n [\n -76.35992434356987,\n 38.33629318994147\n ],\n [\n -76.35992434356987,\n 38.59681899682204\n ],\n [\n -76.63123585226091,\n 38.59681899682204\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"54","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Sutton, Seth R.","contributorId":335398,"corporation":false,"usgs":false,"family":"Sutton","given":"Seth","email":"","middleInitial":"R.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":898257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culver, Stephen J.","contributorId":198984,"corporation":false,"usgs":false,"family":"Culver","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":898258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hayek, Lee-Ann","contributorId":335400,"corporation":false,"usgs":false,"family":"Hayek","given":"Lee-Ann","affiliations":[{"id":80394,"text":"Smithsonia Natural History Museum","active":true,"usgs":false}],"preferred":false,"id":898259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mallinson, David J.","contributorId":198986,"corporation":false,"usgs":false,"family":"Mallinson","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":898260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Marci M. 0000-0002-9200-4097","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":261664,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":898261,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dowsett, Harry J. 0000-0003-1983-7524","orcid":"https://orcid.org/0000-0003-1983-7524","contributorId":261665,"corporation":false,"usgs":true,"family":"Dowsett","given":"Harry J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":898262,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Buzas, Martin A.","contributorId":335401,"corporation":false,"usgs":false,"family":"Buzas","given":"Martin","email":"","middleInitial":"A.","affiliations":[{"id":27990,"text":"Deceased","active":true,"usgs":false}],"preferred":false,"id":898263,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70253098,"text":"70253098 - 2024 - Remotely mapping gullying and incision in Maryland Piedmont headwater streams using repeat airborne lidar","interactions":[],"lastModifiedDate":"2024-04-19T12:23:43.348649","indexId":"70253098","displayToPublicDate":"2024-04-15T07:21:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Remotely mapping gullying and incision in Maryland Piedmont headwater streams using repeat airborne lidar","docAbstract":"Headwater streams can contribute significant amounts of fine sediment to downstream waterways, especially when severely eroded and incised. Potential upstream sediment source identification is crucial for effective management of water quality, aquatic habitat, and sediment loads in a watershed. This study explored topographic openness (TO) derived from 1-m lidar for its ability to predict incision in headwater streams and to remotely detect changes in incision over time. Field surveys were conducted in one forested and two recently urbanized headwater watersheds in the Maryland Piedmont physiographic province, USA to characterize the level of stream channel incision (none, moderate, or severe) in the main stem of each watershed. Predictions of the severity of stream channel incision derived from TO were compared against the field surveys. Channel incision was detected with an overall accuracy of 67 %, with best performance in reaches with either severe or no incision (79–86 % accuracy). The method was also applied to repeat lidar collected over the same area to model the extent of channel incision in 2002 before urban development began and in 2008 and 2013 during active construction in the urban watersheds. Results showed increasing incision over time in all three watersheds, with similar patterns in the forested and urban watersheds. This new method of remotely measuring channel incision can be used to identify potential sediment sources across a watershed, enhance water and habitat quality predictions, and detect changes over time where multiple years of overlapping lidar are available.
Groundwater-resource quality is assumed to be less responsive to drought compared to that of surface water due to relatively long transit times of recharge to drinking-supply wells. Here, we evidence dynamic perturbations in aquifer pressure dynamics during drought and subsequent recovery periods cause dramatic shifts in groundwater quality on a basin scale. We used a novel application of time-series clustering on annual nitrate anomalies at >450 public-supply wells (PSWs) across California's San Joaquin Valley during 2000–22 to group sub-populations of wells with similar water-quality responses to drought. Additionally, we statistically evaluated the direction and magnitude of multi-constituent water-quality changes across the San Joaquin Valley using a broader dataset of >3000 PSWs with data during two select hydrologic stress periods representing an extreme drought (2012–16) and subsequent recovery (2016–19). Results of time-series clustering and stress-period change analyses corroborate a predominant regional response to pumping stress characterized by increased concentrations of anthropogenic constituents (nitrate, total dissolved solids) and decreased concentrations of geogenic constituents (arsenic, fluoride), which largely reversed during recovery. Cluster analysis also identified a secondary, less commonly occurring group of PSWs where nitrate decreased during drought, but explanatory factor analysis was not able to discern hydrogeologic drivers for these two divergent response patterns. Long-term tracer data support the hypothesis that the predominant regional signal of nitrate increase during drought is caused by enhanced capture of modern-aged groundwater by PSWs during periods of pumping stress, which can drive rapid changes in water quality on seasonal and multiannual timescales. Pumping-induced migration of modern, oxic groundwater to depth during drought may affect geochemical conditions in deeper portions of regional aquifers controlling the mobility of geogenic contaminants over the long term.
About 80 % of the precipitation at the Colorado River's headwaters is snow, and the resulting snowmelt-driven hydrograph is a crucial water source for about 40 million people. Snowmelt from alpine and subalpine snowpack contributes substantially to groundwater recharge and river flow. However, the dynamics of snowmelt progression are not well understood because observations of the high-elevation snowpack are difficult due to challenging access in complex mountainous terrain as well as the cost and labor intensity of currently available methods. We present a novel approach to infer the processes and dynamics of high-elevation snowmelt contributions predicated upon stable hydrogen and oxygen isotope ratios observed in streamflow. We show that deuterium-excess (d-excess) values of stream water could serve as a comparatively cost-effective proxy for a catchment-integrated signal of high-elevation snowmelt contributions to catchment runoff.
We sampled stable hydrogen and oxygen isotope ratios of the precipitation, snowpack, and stream water in the East River, a headwater catchment of the Colorado River, and the stream water of larger catchments at sites on the Gunnison River and Colorado River.
The d-excess of snowpack increased with elevation; the upper subalpine and alpine snowpack (> 3200 m) had substantially higher d-excess compared to lower elevations (< 3200 m) in the study area. The d-excess values of stream water reflected this because d-excess values increased as the higher-elevation snowpack contributed more to stream water generation later in the snowmelt/runoff season. End-member mixing analyses based on the d-excess data showed that the share of high-elevation snowmelt contributions within the snowmelt hydrograph was on average 44 % and generally increased during melt period progression, up to 70 %. The observed pattern was consistent during 6 years for the East River, and a similar relation was found for the larger catchments on the Gunnison and Colorado rivers. High-elevation snowpack contributions were found to be higher for years with lower snowpack and warmer spring temperatures. Thus, we conclude that the d-excess of stream water is a viable proxy to observe changes in high-elevation snowmelt contributions in catchments at various scales. Inter-catchment comparisons and temporal trends of the d-excess of stream water could therefore serve as a catchment-integrated measure to monitor if mountain systems rely on high-elevation water inputs more during snow drought compared to years of average snowpack depths.
Fluvial strata of the Upper Triassic Chinle Formation and Dockum Group, exposed across the Western Interior of North America, have long been interpreted to record a transcontinental river system that connected the ancestral Ouachita orogen of Texas and Oklahoma, USA, to the Auld Lang Syne basin of northwestern Nevada, USA, its inferred marine terminus. Fluvial strata are well-characterized by existing detrital zircon data, but the provenance of the Auld Lang Syne basin is poorly constrained. We present new detrital zircon U-Pb and Hf isotopic data that characterize the provenance of Norian siliciclastic strata that dominate the Auld Lang Syne basin. Mixture modeling of Auld Lang Syne basin data identifies the Alleghany−Ouachita−Marathon belt of eastern Laurentia as a dominant source of sediment, but the presence of Triassic detrital zircon grains in Auld Lang Syne basin strata indicates that at least one peri-Laurentian arc segment had to have also contributed sediment. A comparison of new Hf isotopic data with those characterizing various peri-Laurentian volcanic arcs demonstrates that although multiple arc segments may have simultaneously contributed zircons to the Auld Lang Syne basin, the west Pangean arc of northern Mexico stands out as a unique source of highly evolved Permian to Triassic detrital zircon grains in samples from the Auld Lang Syne basin. Altogether, our data and analyses demonstrate source-to-sink connectivity between the Late Triassic (Norian) Cordilleran margin and remnant late Paleozoic highlands of southern to eastern Laurentia, which ultimately framed a Mississippi River−scale, transcontinental watershed that traversed the topographically subdued Laurentian continental interior.
We examined Holocene benthic foraminiferal biofacies, % planktonic foraminifera, and lithofacies changes from New England mud patch cores and present a relative sea-level (RSL) record to evaluate evolution of these rapidly deposited (30–79 cm/kyr) muds. Sandy lower Holocene sections are dominated by Bulimina marginata. The mud patch developed from 11–9 ka as RSL rise slowed from 10 to 7 mm/yr; mud deposition began when the cores (69 to 91 m modern) were inundated below storm wave base. An Elphidium-B. marginata fauna developed at ca. 7–6 ka as RSL rise slowed from approximately 7 to 2 mm/yr. A Globobulimina fauna developed at 3 ka as RSL rise slowed to 1 mm/yr, reflecting lower O2 conditions. Single specimen δ18O analyses of Globobulimina show ∼1‰ variations over the past 3 kyr, reflecting a shelf bottom water seasonal cycle of 4–5°C, and a temperature minimum during the Little Ice Age with warming since.
We integrate the existing detrital zircon data from multiple modern river sediment samples on Viti Levu, Fiji, with the most current available geological and topographic mapping of the respective river drainage basins to compare detrital populations with potential bedrock sources. The temporal and spatial variations in zircon geochemistry supplement what is known from igneous rocks and confirm the petrological differences between plutonic and volcanic rocks from the Eocene to early Oligocene (Yavuna age, >30 Ma), middle Oligocene to middle Miocene (Wainimala age, 30–12.5 Ma), late Miocene (Colo age, 12.5–6.5 Ma) and latest Miocene (Namosi age, 6.5–5 Ma). The >30 Ma Yavuna-age zircons are restricted to areas that drain the previously mapped Yavuna Group. The 30–12.5 Ma zircons are found across central Viti Levu from west to east, and the 30–15 Ma zircons have distinctively low U/Yb and high Dy/Yb ratios. They are the best radiometric evidence of widespread early to middle Miocene arc magmatism in Fiji that was relatively U-poor. Peak deconvolution of the Colo age zircons from individual basins suggests the following ages for undated or poorly dated plutons from central Viti Levu. The large Mavuvu pluton is probably composed of multiple intrusions in the 12–10 Ma range, the Waiqa pluton is probably ca 10 Ma, and the Noikoro pluton is probably ca 9 Ma. There are zircons from unknown plutonic or volcanic sources between 8 and 7 Ma in western Viti Levu that have distinct Eu/Eu* ratios. We attribute the highest U/Yb ratios in some Colo age zircons to crustal anatexis. Namosi-age zircons are abundant in the Medrausucu Group and can be found scattered across Viti Levu.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08120099.2024.2332916","usgsCitation":"Stork, A., Gill, J.B., Todd, E., and Drewes-Todd, E.K., 2024, Detrital zircons and the magmatic history of Viti Levu, Fiji: Australian Journal of Earth Sciences, v. 71, no. 4, p. 600-614, https://doi.org/10.1080/08120099.2024.2332916.","productDescription":"15 p.","startPage":"600","endPage":"614","ipdsId":"IP-158927","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":462590,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Fiji","otherGeospatial":"Viti Levu","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 177.43906669533374,\n -17.500913430772442\n ],\n [\n 177.19873064880753,\n -17.88906860947432\n ],\n [\n 177.260818220212,\n -18.13326652784113\n ],\n [\n 178.16732836567263,\n -18.29999120264695\n ],\n [\n 178.69067436768728,\n -18.16406457548949\n ],\n [\n 178.60696342416523,\n -17.611114359471088\n ],\n [\n 178.46384444475365,\n -17.49057290416684\n ],\n [\n 178.2912423489197,\n -17.285531380045587\n ],\n [\n 177.91342986027942,\n -17.297020685568988\n ],\n [\n 177.43906669533374,\n -17.500913430772442\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"71","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Stork, Allen","contributorId":292914,"corporation":false,"usgs":false,"family":"Stork","given":"Allen","email":"","affiliations":[{"id":63071,"text":"Department of Geology, Western Colorado University, Gunnison CO, USA","active":true,"usgs":false}],"preferred":false,"id":915046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gill, James B 0000-0003-2584-9687","orcid":"https://orcid.org/0000-0003-2584-9687","contributorId":248602,"corporation":false,"usgs":false,"family":"Gill","given":"James","email":"","middleInitial":"B","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":915047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Todd, Erin 0000-0002-4871-9730 etodd@usgs.gov","orcid":"https://orcid.org/0000-0002-4871-9730","contributorId":202811,"corporation":false,"usgs":true,"family":"Todd","given":"Erin","email":"etodd@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":915048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drewes-Todd, Elizabeth Kathleen 0000-0003-0692-3714","orcid":"https://orcid.org/0000-0003-0692-3714","contributorId":243351,"corporation":false,"usgs":true,"family":"Drewes-Todd","given":"Elizabeth","email":"","middleInitial":"Kathleen","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":915049,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70256590,"text":"70256590 - 2024 - Passive acoustic monitoring and convolutional neural networks facilitate high-resolution and broadscale monitoring of a threatened species","interactions":[],"lastModifiedDate":"2024-08-22T16:58:33.688064","indexId":"70256590","displayToPublicDate":"2024-04-13T11:52:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Passive acoustic monitoring and convolutional neural networks facilitate high-resolution and broadscale monitoring of a threatened species","docAbstract":"Population monitoring is an essential component of biodiversity conservation and management, but low detection probabilities for rare and/or cryptic species makes estimating abundance and occupancy challenging. Passive acoustic monitoring combined with machine learning algorithms represents a potential path forward to effectively and efficiently monitor the occurrence of rare vocalizing species across entire forest landscapes. Our objectives were to develop and implement a convolutional neural network (PNW-Cnet) to identify vocalizations of a rare and threatened forest nesting bird species – the marbled murrelet (Brachyramphus marmoratus) – in the Pacific Northwest, U.S.A., 2018–2021. We used PNW-Cnet predictions from broadscale passive acoustic monitoring data to examine spatiotemporal patterns in the distribution of murrelets. PNW-Cnet showed sufficiently high prediction accuracy (overall precision > 0.9) to enable broadscale population monitoring. Spatiotemporal analysis showed that annual peak murrelet call abundance occurs in ordinal weeks 28–32 (late July–Mid August) but this varied by study area. The greatest number of detections typically occurred in the Olympic Peninsula and Oregon Coast Range where late-successional forest dominates and nearer to ocean habitats. We demonstrate that passive acoustic monitoring can be used to understand intensity of use across broad scales for a rare and cryptic species in addition to the typical detection/non-detection data that are often collected. Passive acoustic monitoring combined with PNW-Cnet offers considerable promise for species distribution modeling and long-term population monitoring for rare species.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.112016","usgsCitation":"Duarte, A., Weldy, M.J., Lesmeister, D., Ruff, Z.J., Jenkins, J., Valente, J., and Betts, M., 2024, Passive acoustic monitoring and convolutional neural networks facilitate high-resolution and broadscale monitoring of a threatened species: Ecological Indicators, v. 162, 112016, 10 p., https://doi.org/10.1016/j.ecolind.2024.112016.","productDescription":"112016, 10 p.","ipdsId":"IP-157789","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439857,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.112016","text":"Publisher Index Page"},{"id":433074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Olympic Peninsula, Oregon Coast Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.82459538488385,\n 48.38115798530862\n ],\n [\n -124.82459538488385,\n 42.030390768092275\n ],\n [\n -121.12717084896894,\n 42.030390768092275\n ],\n [\n -121.12717084896894,\n 48.38115798530862\n ],\n [\n -124.82459538488385,\n 48.38115798530862\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"162","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Duarte, Adam","contributorId":341270,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":39530,"text":"U.S.D.A. Forest Service","active":true,"usgs":false}],"preferred":false,"id":908170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weldy, Matthew J.","contributorId":341271,"corporation":false,"usgs":false,"family":"Weldy","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":908171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lesmeister, Damon B.","contributorId":341272,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon B.","affiliations":[{"id":39530,"text":"U.S.D.A. Forest Service","active":true,"usgs":false}],"preferred":false,"id":908172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruff, Zachary J.","contributorId":341273,"corporation":false,"usgs":false,"family":"Ruff","given":"Zachary","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":908173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenkins, Julianna","contributorId":341274,"corporation":false,"usgs":false,"family":"Jenkins","given":"Julianna","email":"","affiliations":[{"id":39530,"text":"U.S.D.A. Forest Service","active":true,"usgs":false}],"preferred":false,"id":908174,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Valente, Jonathon Joseph 0000-0002-6519-3523","orcid":"https://orcid.org/0000-0002-6519-3523","contributorId":340615,"corporation":false,"usgs":true,"family":"Valente","given":"Jonathon Joseph","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908175,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Betts, Matthew G.","contributorId":341275,"corporation":false,"usgs":false,"family":"Betts","given":"Matthew G.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":908176,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70253900,"text":"70253900 - 2024 - The evolution of a young ocean within Mimas","interactions":[],"lastModifiedDate":"2024-05-03T15:32:06.884586","indexId":"70253900","displayToPublicDate":"2024-04-13T10:29:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"The evolution of a young ocean within Mimas","docAbstract":"The fractured, young surfaces on confirmed ocean worlds such as Europa and Enceladus suggest that ocean-bearing moons with relatively thin overlying ice shells should be easy to identify. Hence, the discovery that Mimas’ rotation state is best explained by an internal ocean seems challenging to reconcile with its heavily cratered surface. Previous studies have shown that an internal ocean is compatible with Mimas’ geology as long as the ice shell has been thinning throughout the surface age. This scenario has yet to be placed into context within Mimas’ thermal-orbital history, in particular, the link between tidal dissipation and orbit circularization. Here, we model Mimas’ coupled thermal-orbital evolution, and the implications of an emerging ocean on Mimas’ geology, to determine whether a thinning ice shell is feasible. We find that the ice shell can thin – and the ocean grow – even as the eccentricity decays due to tidal dissipation as long as the ocean formed within the past 10 – 15 million years and the onset of melting occurred when Mimas’ eccentricity was between 2.5 and 3 times the present-day value. As Mimas’ eccentricity continues to decay, the ocean will likely enter an epoch of freezing, leading to fractures within the ice shell and eruptions of ocean material at the surface, before freezing completely. These results suggest that Mimas, Enceladus, and Tethys may represent three points along a continuum of ocean initiation, growth, and loss.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2024.118689","usgsCitation":"Rhoden, A.R., Walker, M.E., Rudolph, M.L., Bland, M.T., and Manga, M., 2024, The evolution of a young ocean within Mimas: Earth and Planetary Science Letters, v. 635, 118689, 11 p., https://doi.org/10.1016/j.epsl.2024.118689.","productDescription":"118689, 11 p.","ipdsId":"IP-161206","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487531,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2024.118689","text":"Publisher Index Page"},{"id":428361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Mimas","volume":"635","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rhoden, A. R.","contributorId":336143,"corporation":false,"usgs":false,"family":"Rhoden","given":"A.","email":"","middleInitial":"R.","affiliations":[{"id":36712,"text":"Southwest Research Institute","active":true,"usgs":false}],"preferred":false,"id":900036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walker, M. E.","contributorId":336144,"corporation":false,"usgs":false,"family":"Walker","given":"M.","email":"","middleInitial":"E.","affiliations":[{"id":13179,"text":"Planetary Science Institute","active":true,"usgs":false}],"preferred":false,"id":900037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rudolph, M. L.","contributorId":336146,"corporation":false,"usgs":false,"family":"Rudolph","given":"M.","email":"","middleInitial":"L.","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":900038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":900039,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Manga, Michael 0000-0003-3286-4682","orcid":"https://orcid.org/0000-0003-3286-4682","contributorId":265640,"corporation":false,"usgs":false,"family":"Manga","given":"Michael","email":"","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":900040,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261733,"text":"70261733 - 2024 - Bringing traits back in the equation: A roadmap to understand species redistribution","interactions":[],"lastModifiedDate":"2024-12-20T16:23:08.355471","indexId":"70261733","displayToPublicDate":"2024-04-13T10:13:59","publicationYear":"2024","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":"Bringing traits back in the equation: A roadmap to understand species redistribution","docAbstract":"Ecological and evolutionary theories have proposed that species traits should be important in mediating species responses to contemporary climate change; yet, empirical evidence has so far provided mixed evidence for the role of behavioral, life history, or ecological characteristics in facilitating or hindering species range shifts. As such, the utility of trait-based approaches to predict species redistribution under climate change has been called into question. We develop the perspective, supported by evidence, that trait variation, if used carefully can have high potential utility, but that past analyses have in many cases failed to identify an explanatory value for traits by not fully embracing the complexity of species range shifts. First, we discuss the relevant theory linking species traits to range shift processes at the leading (expansion) and trailing (contraction) edges of species distributions and highlight the need to clarify the mechanistic basis of trait-based approaches. Second, we provide a brief overview of range shift–trait studies and identify new opportunities for trait integration that consider range-specific processes and intraspecific variability. Third, we explore the circumstances under which environmental and biotic context dependencies are likely to affect our ability to identify the contribution of species traits to range shift processes. Finally, we propose that revealing the role of traits in shaping species redistribution may likely require accounting for methodological variation arising from the range shift estimation process as well as addressing existing functional, geographical, and phylogenetic biases. We provide a series of considerations for more effectively integrating traits as well as extrinsic and methodological factors into species redistribution research. Together, these analytical approaches promise stronger mechanistic and predictive understanding that can help society mitigate and adapt to the effects of climate change on biodiversity.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17271","usgsCitation":"Comte, L., Bertrand, R., Diamond, S.E., Lancaster, L.T., Pinsky, M., Scheffers, B.R., Baecher, J.A., Bandara, R., Chen, I., Lawlor, J.A., Moore, N., Oliveira, B.F., Murienne, J., Rolland, J., Rubenstein, M.A., Sunday, J., Thompson, L., Villalobos, F., Weiskopf, S.R., and Lenoir, J., 2024, Bringing traits back in the equation: A roadmap to understand species redistribution: Global Change Biology, v. 30, no. 4, e17271, 21 p., https://doi.org/10.1111/gcb.17271.","productDescription":"e17271, 21 p.","ipdsId":"IP-160911","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":467017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.17271","text":"Publisher Index Page"},{"id":465402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Comte, Lise","contributorId":304119,"corporation":false,"usgs":false,"family":"Comte","given":"Lise","email":"","affiliations":[{"id":65974,"text":"College of Arts and Sciences, Illinois State University","active":true,"usgs":false}],"preferred":false,"id":921710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bertrand, Romain","contributorId":304118,"corporation":false,"usgs":false,"family":"Bertrand","given":"Romain","email":"","affiliations":[{"id":65973,"text":"Universitéde Toulouse 3, Toulouse, France","active":true,"usgs":false}],"preferred":false,"id":921711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diamond, Sarah E.","contributorId":347433,"corporation":false,"usgs":false,"family":"Diamond","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":921712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lancaster, Lesley T.","contributorId":146421,"corporation":false,"usgs":false,"family":"Lancaster","given":"Lesley","email":"","middleInitial":"T.","affiliations":[{"id":12486,"text":"National Center for Ecological Analysis and Synthesis, 735 State St. Suite 300, Santa Barbara, CA 93101","active":true,"usgs":false}],"preferred":false,"id":921713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pinsky, Malin","contributorId":191589,"corporation":false,"usgs":false,"family":"Pinsky","given":"Malin","email":"","affiliations":[],"preferred":false,"id":921714,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scheffers, Brett R.","contributorId":347438,"corporation":false,"usgs":false,"family":"Scheffers","given":"Brett","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":921715,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baecher, J. Alex","contributorId":347429,"corporation":false,"usgs":false,"family":"Baecher","given":"J.","email":"","middleInitial":"Alex","affiliations":[],"preferred":false,"id":921716,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bandara, R.M.W.J.","contributorId":347430,"corporation":false,"usgs":false,"family":"Bandara","given":"R.M.W.J.","email":"","affiliations":[],"preferred":false,"id":921717,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chen, I-Ching","contributorId":347432,"corporation":false,"usgs":false,"family":"Chen","given":"I-Ching","email":"","affiliations":[],"preferred":false,"id":921718,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lawlor, Jake A.","contributorId":347427,"corporation":false,"usgs":false,"family":"Lawlor","given":"Jake","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":921719,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moore, Nikki","contributorId":347434,"corporation":false,"usgs":false,"family":"Moore","given":"Nikki","email":"","affiliations":[],"preferred":false,"id":921720,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Oliveira, Brunno F.","contributorId":347436,"corporation":false,"usgs":false,"family":"Oliveira","given":"Brunno","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":921721,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Murienne, Jerome","contributorId":347435,"corporation":false,"usgs":false,"family":"Murienne","given":"Jerome","email":"","affiliations":[],"preferred":false,"id":921722,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rolland, Jonathan","contributorId":347437,"corporation":false,"usgs":false,"family":"Rolland","given":"Jonathan","email":"","affiliations":[],"preferred":false,"id":921723,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Rubenstein, Madeleine A. 0000-0001-8569-781X mrubenstein@usgs.gov","orcid":"https://orcid.org/0000-0001-8569-781X","contributorId":203206,"corporation":false,"usgs":true,"family":"Rubenstein","given":"Madeleine","email":"mrubenstein@usgs.gov","middleInitial":"A.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":921615,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Sunday, Jennifer","contributorId":347441,"corporation":false,"usgs":false,"family":"Sunday","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":921724,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Thompson, Laura 0000-0002-7884-6001","orcid":"https://orcid.org/0000-0002-7884-6001","contributorId":212190,"corporation":false,"usgs":true,"family":"Thompson","given":"Laura","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":921616,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Villalobos, Fabricio","contributorId":347440,"corporation":false,"usgs":false,"family":"Villalobos","given":"Fabricio","email":"","affiliations":[],"preferred":false,"id":921725,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Weiskopf, Sarah R. 0000-0002-5933-8191","orcid":"https://orcid.org/0000-0002-5933-8191","contributorId":207699,"corporation":false,"usgs":true,"family":"Weiskopf","given":"Sarah","email":"","middleInitial":"R.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":921617,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Lenoir, Jonathan","contributorId":167876,"corporation":false,"usgs":false,"family":"Lenoir","given":"Jonathan","email":"","affiliations":[{"id":24849,"text":"Université de Picardie Jules Verne","active":true,"usgs":false}],"preferred":false,"id":921726,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70252938,"text":"dr1191 - 2024 - National shoreline change—Summary statistics for vector shorelines from the early 1900s to the 2010s for Puerto Rico","interactions":[],"lastModifiedDate":"2026-01-27T17:25:56.338453","indexId":"dr1191","displayToPublicDate":"2024-04-12T14:30:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1191","displayTitle":"National Shoreline Change: Summary Statistics for Vector Shorelines from the Early 1900s to the 2010s for Puerto Rico","title":"National shoreline change—Summary statistics for vector shorelines from the early 1900s to the 2010s for Puerto Rico","docAbstract":"The U.S. Geological Survey (USGS) maintains a database of historical shoreline positions for the United States coasts derived from historical sources, such as aerial photographs or topographic surveys, and contemporary sources, such as modern orthophotography, light detection and ranging (lidar) point clouds, and digital elevation models. These shorelines are compiled within a geographic information system and analyzed in the USGS Digital Shoreline Analysis System (version 5.1) software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists and resource managers to identify areas that are historically most susceptible to erosion or accretion.
The effort in this report represents an expansion of the USGS national-scale shoreline database to include Puerto Rico and the islands of the territory, Vieques and Culebra. The USGS, in cooperation with the Coastal Research and Planning Institute of Puerto Rico (part of the Graduate School of Planning at the University of Puerto Rico, Río Piedras Campus) has derived and compiled a database of historical shoreline positions for Puerto Rico from the early 1900s through 2018, with the goal of providing beneficial insight for coastal managers and communities vulnerable to coastal change.
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An intrusion into Kīlauea’s upper East Rift Zone during June 17–19, 2007, during the 1983–2018 Pu‘u‘ō‘ō eruption, led to widespread ground cracking and a small (approximately 1,525 cubic meters) eruption on the northeast flank of Kānenuiohamo, a cone about 6 kilometers upslope from Pu‘u‘ō‘ō. Transmitted and induced very low frequency (VLF) magnetic fields were measured with a handheld VLF receiver along transects spanning the dike trace, and zones of ground cracking related to the intrusion were mapped. The locations of crack zones and the VLF receiver measurements suggest that the Father’s Day dike splayed as it approached the surface, dividing into four segments—one between Pauahi Crater and Pu‘uhuluhulu and three en echelon segments near Kānenuiohamo. The dike did not extend appreciably northeastward beyond the eruption site.
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Drought-induced groundwater decline and warming associated with climate change are primary threats to dryland riparian woodlands. We used the extreme 2012–2019 drought in southern California as a natural experiment to assess how differences in water-use strategies and groundwater dependence may influence the drought susceptibility of dryland riparian tree species with overlapping distributions. We analyzed tree-ring stable carbon and oxygen isotopes collected from two cottonwood species (Populus trichocarpa and P. fremontii) along the semi-arid Santa Clara River. We also modeled tree source water δ18O composition to compare with observed source water δ18O within the floodplain to infer patterns of groundwater reliance. Our results suggest that both species functioned as facultative phreatophytes that used shallow soil moisture when available but ultimately relied on groundwater to maintain physiological function during drought. We also observed apparent species differences in water-use strategies and groundwater dependence related to their regional distributions. P. fremontii was constrained to more arid river segments and ostensibly used a greater proportion of groundwater to satisfy higher evaporative demand. P. fremontii maintained ∆13C at pre-drought levels up until the peak of the drought, when trees experienced a precipitous decline in ∆13C. This response pattern suggests that trees prioritized maintaining photosynthetic processes over hydraulic safety, until a critical point. In contrast, P. trichocarpa showed a more gradual and sustained reduction in ∆13C, indicating that drought conditions induced stomatal closure and higher water use efficiency. This strategy may confer drought avoidance for P. trichocarpa while increasing its susceptibility to anticipated climate warming.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023WR035928","usgsCitation":"Williams, J., Stella, J.C., Singer, M.B., Lambert, A.M., Voelker, S.L., Drake, J.E., Friedman, J.M., Pelletier, L., Kui, L., and Roberts, D.A., 2024, Seasonal and species-level water-use strategies and groundwater dependence in dryland riparian woodlands during extreme drought: Water Resources Research, v. 60, no. 4, e2023WR035928, 19 p., https://doi.org/10.1029/2023WR035928.","productDescription":"e2023WR035928, 19 p.","ipdsId":"IP-154460","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":439860,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023wr035928","text":"Publisher Index Page"},{"id":427819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Clara River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.3291956794047,\n 34.69656575071852\n ],\n [\n -119.29876507962365,\n 34.69656575071852\n ],\n [\n -119.29876507962365,\n 34.154097435682715\n ],\n [\n -118.3291956794047,\n 34.154097435682715\n ],\n [\n -118.3291956794047,\n 34.69656575071852\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Williams, Jared","contributorId":298516,"corporation":false,"usgs":false,"family":"Williams","given":"Jared","email":"","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":898880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stella, John C.","contributorId":174328,"corporation":false,"usgs":false,"family":"Stella","given":"John","email":"","middleInitial":"C.","affiliations":[{"id":27417,"text":"Department of Forest and Natural Resources Management, SUNY College of Environmental Science and Forestry, Syracuse, NY 13210 USA","active":true,"usgs":false}],"preferred":false,"id":898881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Singer, Michael Bliss 0000-0002-6899-2224","orcid":"https://orcid.org/0000-0002-6899-2224","contributorId":299449,"corporation":false,"usgs":false,"family":"Singer","given":"Michael","email":"","middleInitial":"Bliss","affiliations":[{"id":17940,"text":"Cardiff University","active":true,"usgs":false}],"preferred":false,"id":898882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lambert, Adam M.","contributorId":335631,"corporation":false,"usgs":false,"family":"Lambert","given":"Adam","email":"","middleInitial":"M.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":898883,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Voelker, Steven L.","contributorId":176586,"corporation":false,"usgs":false,"family":"Voelker","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":898884,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Drake, John E.","contributorId":335632,"corporation":false,"usgs":false,"family":"Drake","given":"John","email":"","middleInitial":"E.","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":898885,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":44495,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":898886,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pelletier, Lissa","contributorId":298520,"corporation":false,"usgs":false,"family":"Pelletier","given":"Lissa","email":"","affiliations":[{"id":27852,"text":"State University of New York, Syracuse","active":true,"usgs":false}],"preferred":false,"id":898887,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kui, Li","contributorId":194515,"corporation":false,"usgs":false,"family":"Kui","given":"Li","email":"","affiliations":[],"preferred":false,"id":898888,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Roberts, Dar A.","contributorId":100503,"corporation":false,"usgs":false,"family":"Roberts","given":"Dar","email":"","middleInitial":"A.","affiliations":[{"id":12804,"text":"Univ. of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":898889,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70252988,"text":"70252988 - 2024 - Management implications of habitat selection by whooping cranes (Grus americana) on the Texas coast","interactions":[],"lastModifiedDate":"2024-04-16T15:35:55.516243","indexId":"70252988","displayToPublicDate":"2024-04-12T10:35:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Management implications of habitat selection by whooping cranes (Grus americana) on the Texas coast","title":"Management implications of habitat selection by whooping cranes (Grus americana) on the Texas coast","docAbstract":"Effective habitat management for rare and endangered species requires a thorough understanding of their specific habitat requirements. Although machine learning models have been increasingly used in the analyses of habitat use by wildlife, the primary focus of these models has been on generating spatial predictions. In this study, we used machine learning models in combination with simulated management actions to guide planning and inform managers. We used data from 61 whooping cranes (Grus americana) tagged with GPS telemetry collars between 2009 and 2018 near Aransas National Wildlife Refuge in coastal Texas. We included variables based on topography, land use classification, vegetation height, plant phenology, drought, storm surge events, and both wild and prescribed fires. We then built models at multiple scales: population level, home range level, and roosting and daytime within home range level. We simulated responses to the two primary management actions used to enhance whooping crane habitat on Aransas National Wildlife Refuge: prescribed fire and removal of woody vegetation. At the population and home range scales, land use classification variables had the highest importance values, whereas the combined elevation and bathymetry layer was the most important predictor at both roosting and daytime within home range scales. Our findings revealed that the effects of fire, although generally modest, varied spatially. Areas dominated by estuarine wetlands exhibited higher predicted use within the first months after a fire, whereas those dominated by palustrine wetlands were more likely to be avoided in the immediate postfire years. Our simulation of vegetation removal identified the areas on Aransas National Wildlife Refuge where whooping cranes were predicted to benefit the most if vegetation were removed. These techniques can be used by other researchers wanting to examine and predict the effects of potential management actions on target species habitat.
","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4820","usgsCitation":"Lehnen, S.E., Sesnie, S., Butler, M.J., Pearse, A.T., and Metzger, K.L., 2024, Management implications of habitat selection by whooping cranes (Grus americana) on the Texas coast: Ecosphere, v. 15, no. 4, e4820, 19 p., https://doi.org/10.1002/ecs2.4820.","productDescription":"e4820, 19 p.","ipdsId":"IP-154780","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":439863,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4820","text":"Publisher Index Page"},{"id":427816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -95.40722242363222,\n 28.90776261197753\n ],\n [\n -97.13839987001899,\n 29.222267406234465\n ],\n [\n -98.73867639073208,\n 28.864354149984962\n ],\n [\n -98.56563608351834,\n 27.049501678715416\n ],\n [\n -97.20145548476677,\n 26.91559995478883\n ],\n [\n -95.40722242363222,\n 28.90776261197753\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Lehnen, Sarah E.","contributorId":145588,"corporation":false,"usgs":false,"family":"Lehnen","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":898862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sesnie, Steven E.","contributorId":315379,"corporation":false,"usgs":false,"family":"Sesnie","given":"Steven E.","affiliations":[{"id":68297,"text":"U.S. Fish and Wildlife Service, Division of Biological Sciences, Albuquerque, NM 87102, USA","active":true,"usgs":false}],"preferred":false,"id":898863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butler, Matthew J.","contributorId":296149,"corporation":false,"usgs":false,"family":"Butler","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":898864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":898865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Metzger, Kristine L.","contributorId":147144,"corporation":false,"usgs":false,"family":"Metzger","given":"Kristine","email":"","middleInitial":"L.","affiliations":[{"id":16794,"text":"USFWS, Div of Biol Serv, Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":898866,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70253183,"text":"70253183 - 2024 - Paranannizziopsis spp. Infection in Wild Vipers, Europe","interactions":[],"lastModifiedDate":"2024-05-07T14:40:51.674174","indexId":"70253183","displayToPublicDate":"2024-04-12T09:50:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1493,"text":"Emerging Infectious Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Paranannizziopsis spp. Infection in Wild Vipers, Europe","docAbstract":"We describe the first detection of Paranannizziopsis sp. in a wild population of vipers in Europe. Fungal infections were severe and one individual likely died from infection. Surveillance efforts are needed to better understand the threat of this pathogen to snake conservation.","language":"English","publisher":"CDC","doi":"10.3201/eid3005.231317","usgsCitation":"Blanvillain, G., Martínez-Freiría, F., Hoyt, J.R., Lorch, J., and Martinez Silvestre, A., 2024, Paranannizziopsis spp. Infection in Wild Vipers, Europe: Emerging Infectious Diseases, v. 30, no. 5, p. 1000-1003, https://doi.org/10.3201/eid3005.231317.","productDescription":"4 p.","startPage":"1000","endPage":"1003","ipdsId":"IP-159670","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":439865,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3201/eid3005.231317","text":"Publisher Index Page"},{"id":428071,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Portugal, Spain","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"id\":144,\"properties\":{\"name\":\"Portugal\"},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-9.03482,41.88057],[-8.67195,42.13469],[-8.26386,42.28047],[-8.01317,41.79089],[-7.42251,41.79207],[-7.25131,41.91835],[-6.66861,41.88339],[-6.38909,41.38182],[-6.85113,41.11108],[-6.86402,40.33087],[-7.02641,40.18452],[-7.06659,39.71189],[-7.49863,39.62957],[-7.09804,39.03007],[-7.37409,38.37306],[-7.02928,38.07576],[-7.16651,37.80389],[-7.53711,37.4289],[-7.45373,37.09779],[-7.85561,36.83827],[-8.38282,36.97888],[-8.89886,36.86881],[-8.7461,37.65135],[-8.84,38.26624],[-9.28746,38.35849],[-9.52657,38.73743],[-9.44699,39.39207],[-9.04831,39.75509],[-8.97735,40.15931],[-8.76868,40.76064],[-8.79085,41.18433],[-8.99079,41.54346],[-9.03482,41.88057],[-9.03482,41.88057]]]}},{\"type\":\"Feature\",\"id\":158,\"properties\":{\"name\":\"Spain\"},\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-9.03482,41.88057],[-8.98443,42.59278],[-9.39288,43.02662],[-7.97819,43.74834],[-6.75449,43.56791],[-5.41189,43.57424],[-4.34784,43.40345],[-3.51753,43.4559],[-1.90135,43.4228],[-1.50277,43.03401],[0.33805,42.57955],[0.70159,42.79573],[1.82679,42.34338],[2.986,42.47302],[3.03948,41.89212],[2.09184,41.22609],[0.81052,41.01473],[0.72133,40.67832],[0.10669,40.12393],[-0.27871,39.30998],[0.11129,38.73851],[-0.46712,38.29237],[-0.68339,37.64235],[-1.43838,37.44306],[-2.14645,36.67414],[-3.41578,36.6589],[-4.3689,36.67784],[-4.99522,36.32471],[-5.37716,35.94685],[-5.86643,36.02982],[-6.23669,36.36768],[-6.52019,36.94291],[-7.45373,37.09779],[-7.53711,37.4289],[-7.16651,37.80389],[-7.02928,38.07576],[-7.37409,38.37306],[-7.09804,39.03007],[-7.49863,39.62957],[-7.06659,39.71189],[-7.02641,40.18452],[-6.86402,40.33087],[-6.85113,41.11108],[-6.38909,41.38182],[-6.66861,41.88339],[-7.25131,41.91835],[-7.42251,41.79207],[-8.01317,41.79089],[-8.26386,42.28047],[-8.67195,42.13469],[-9.03482,41.88057],[-9.03482,41.88057]]]}}]}","volume":"30","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Blanvillain, Gaelle","contributorId":335744,"corporation":false,"usgs":false,"family":"Blanvillain","given":"Gaelle","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":899402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Martínez-Freiría, Fernando","contributorId":335745,"corporation":false,"usgs":false,"family":"Martínez-Freiría","given":"Fernando","affiliations":[{"id":28077,"text":"Universidade do Porto","active":true,"usgs":false}],"preferred":false,"id":899403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hoyt, Joseph R.","contributorId":201314,"corporation":false,"usgs":false,"family":"Hoyt","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":899404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":335548,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":899405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martinez Silvestre, Albert","contributorId":335746,"corporation":false,"usgs":false,"family":"Martinez Silvestre","given":"Albert","email":"","affiliations":[{"id":80496,"text":"Catalonian Reptiles and Amphibians Rescue Center","active":true,"usgs":false}],"preferred":false,"id":899406,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70253188,"text":"70253188 - 2024 - Forecasting the long-term spatial distribution of earthquakes for the 2023 US National Seismic Hazard Model using gridded seismicity","interactions":[],"lastModifiedDate":"2024-07-30T14:25:07.421636","indexId":"70253188","displayToPublicDate":"2024-04-12T09:35:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting the long-term spatial distribution of earthquakes for the 2023 US National Seismic Hazard Model using gridded seismicity","docAbstract":"Probabilistic seismic hazard analyses such as the U.S. National Seismic Hazard Model (NSHM) typically rely on declustering and spatially smoothing an earthquake catalog to estimate a long‐term time‐independent (background) seismicity rate to forecast future seismicity. In support of the U.S. Geological Survey’s (USGS) 2023 update to the NSHM, we update the methods used to develop this background or gridded seismicity model component of the NSHM. As in 2018, we use a combination of fixed and adaptive kernel Gaussian smoothing. However, we implement two additional declustering methods to account for the fact that declustering is a nonunique process. These new declustering methods result in different forecasts for the locations of future seismicity, as represented by spatial probability density functions that are later combined with a rate model to produce a full gridded earthquake rate forecast. The method updates, particularly in the separation of the spatial and rate models as well as revised regional boundaries, in some places cause substantive changes to the seismic hazard forecast compared to the previous 2018 NSHM. Additional updates to catalog processing and induced seismicity zones also contribute to changes in the gridded seismicity hazard since 2018. However, these changes are well understood and reflect improvements in our modeling of gridded seismicity hazard.
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These hotspots largely determine the structure and functioning of drylands worldwide. Despite their ubiquity, the factors controlling fertile islands under conditions of contrasting grazing by livestock, the most prevalent land use in drylands, remain virtually unknown. Here we evaluated the relative importance of grazing pressure and herbivore type, climate and plant functional traits on 24 soil physical and chemical attributes that represent proxies of key ecosystem services related to decomposition, soil fertility, and soil and water conservation. To do this, we conducted a standardized global survey of 288 plots at 88 sites in 25 countries worldwide. We show that aridity and plant traits are the major factors associated with the magnitude of plant effects on fertile islands in grazed drylands worldwide. Grazing pressure had little influence on the capacity of plants to support fertile islands. Taller and wider shrubs and grasses supported stronger island effects. Stable and functional soils tended to be linked to species-rich sites with taller plants. Together, our findings dispel the notion that grazing pressure or herbivore type are linked to the formation or intensification of fertile islands in drylands. Rather, our study suggests that changes in aridity, and processes that alter island identity and therefore plant traits, will have marked effects on how perennial plants support and maintain the functioning of drylands in a more arid and grazed world.
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These actions have the potential to affect downstream resources, including threatened and endangered species, in the Grand Canyon. This report covers modeling support provided on the two sEIS by the USGS Grand Canyon Monitoring and Research Center (GCMRC; U.S. Geological Survey, Southwest Biological Science Center). The first sEIS (Interim Guidelines sEIS) modifies Reclamation’s 2007 Colorado River Interim Guidelines for Lower Basin Shortages and Coordinated Operations for Lake Powell and Lake Mead (USBR, 2007) that determines annual water releases from GCD based on inflow to Lake Powell, the power generating requirements of GCD, and relative lake levels of Lake Powell and Lake Mead. Drought conditions have lowered the level of Lake Powell and may require GCD to release less water than was analyzed in the Interim EIS (7-million-acre feet/year). The effect of less water released, as well as lower lake levels and associated water quality concerns, on downstream resources was not analyzed in the 2007 Interim Guidelines EIS. Reclamation requested GCMRC support to provide models predicting the effects to resources of water releases lower than 7M acre feet/year, including models predicting effects to threatened and endangered species for use in a Biological Assessment.","language":"English","publisher":"Bureau of Reclamation","collaboration":"Bureau of Reclamation, Glen Canyon Dam Adaptive Management Program","usgsCitation":"Yackulic, C., Bair, L., Eppehimer, D.E., Salter, G.L., Deemer, B., Butterfield, B.J., Kasprak, A., Caster, J., Fairley, H.C., Grams, P.E., Mihalevich, B.A., Palmquist, E.C., and Sankey, J., 2024, Modeling the impacts of Glen Canyon Dam operations on Colorado River resources, ii, 133 p.","productDescription":"ii, 133 p.","ipdsId":"IP-163024","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":427772,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usbr.gov/uc/progact/amp/pdfs/LTEMP/20240408-ModelingImpactsGlenCanyonDamOperationsColoradoRiverResources-508-UCRO.pdf"},{"id":427780,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Hartwell, Meredith A. 0000-0001-6350-5450 mhartwell@usgs.gov","orcid":"https://orcid.org/0000-0001-6350-5450","contributorId":4842,"corporation":false,"usgs":true,"family":"Hartwell","given":"Meredith","email":"mhartwell@usgs.gov","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898821,"contributorType":{"id":2,"text":"Editors"},"rank":14}],"authors":[{"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":898808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eppehimer, Drew Elliot 0000-0003-0076-1494","orcid":"https://orcid.org/0000-0003-0076-1494","contributorId":333633,"corporation":false,"usgs":true,"family":"Eppehimer","given":"Drew","email":"","middleInitial":"Elliot","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salter, Gerard Lewis 0000-0001-6426-0133","orcid":"https://orcid.org/0000-0001-6426-0133","contributorId":333645,"corporation":false,"usgs":true,"family":"Salter","given":"Gerard","email":"","middleInitial":"Lewis","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Deemer, Bridget R. 0000-0002-5845-1002 bdeemer@usgs.gov","orcid":"https://orcid.org/0000-0002-5845-1002","contributorId":198160,"corporation":false,"usgs":true,"family":"Deemer","given":"Bridget","email":"bdeemer@usgs.gov","middleInitial":"R.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898812,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":898813,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kasprak, Alan 0000-0001-8184-6128","orcid":"https://orcid.org/0000-0001-8184-6128","contributorId":245742,"corporation":false,"usgs":false,"family":"Kasprak","given":"Alan","affiliations":[{"id":49307,"text":"Current: Utah State University. Former: Southwest Biological Science Center, Grand Canyon Monitoring and Research Center, U.S. Geological Survey, Flagstaff, AZ 86001, USA","active":true,"usgs":false}],"preferred":false,"id":898814,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Caster, Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898815,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fairley, Helen C. 0000-0001-6151-4804 hfairley@usgs.gov","orcid":"https://orcid.org/0000-0001-6151-4804","contributorId":3040,"corporation":false,"usgs":true,"family":"Fairley","given":"Helen","email":"hfairley@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":898816,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Grams, Paul E. 0000-0002-0873-0708","orcid":"https://orcid.org/0000-0002-0873-0708","contributorId":216115,"corporation":false,"usgs":true,"family":"Grams","given":"Paul","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898817,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Mihalevich, Bryce Anthony 0000-0001-5492-221X","orcid":"https://orcid.org/0000-0001-5492-221X","contributorId":335493,"corporation":false,"usgs":false,"family":"Mihalevich","given":"Bryce","email":"","middleInitial":"Anthony","affiliations":[{"id":80423,"text":"U.S. Bureau of Reclamation, Salt Lake City, UT","active":true,"usgs":false}],"preferred":false,"id":898818,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898819,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898820,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70254514,"text":"70254514 - 2024 - Seasonal mortality of Wild Atlantic Menhaden (Brevoortia tyrannus) is caused by a virulent clone of Vibrio (Listonella) anguillarum; Implications for biosecurity along the Atlantic Coastal United States","interactions":[],"lastModifiedDate":"2024-05-30T11:43:36.09668","indexId":"70254514","displayToPublicDate":"2024-04-12T06:42:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3849,"text":"Transboundary and Emerging Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal mortality of Wild Atlantic Menhaden (Brevoortia tyrannus) is caused by a virulent clone of Vibrio (Listonella) anguillarum; Implications for biosecurity along the Atlantic Coastal United States","docAbstract":"Atlantic menhaden are a highly migratory marine species in the Eastern United States that suffer from seasonal chronic mortality. Affected fish show neurologic signs referred to as spinning disease, including circling at the surface and erratic corkscrew swimming before death. We investigated three similar menhaden mortality events consistent with spinning disease in coastal New Jersey and New York between 2020 and 2021 to understand the cause. A unique strain of Vibrio (Listonella) anguillarum (serogroup O3) was detected regularly in high loads, particularly in the brains of moribund fish, by both metagenomics and bacterial isolation. The most common histopathological changes in moribund fish were hemorrhagic meningitis, encephalitis, pyknosis, and karyorrhexis of hematopoietic tissues in the kidney and spleen. Whole genome sequencing of isolates from moribund fish representing a wide spatial and temporal range showed that they were nearly identical clones, suggesting it to be a pathogenic strain circulating in the population. Though V. anguillarum is believed to be the main pathogen associated with spinning disease and mortality, Yersinia ruckeri (serotype O1) was isolated from smaller numbers of fish. Considering the highly migratory nature of Atlantic menhaden throughout the eastern United States and their use as bait for other fisheries, these findings identify potential biosecurity challenges that should be considered in Atlantic salmon aquaculture, fisheries, and emerging marine aquaculture in the region.
","language":"English","publisher":"Hindawi","doi":"10.1155/2024/8816604","usgsCitation":"Lovy, J., Iwanowicz, L., Welch, T.J., Allem, B., Getchell, R.G., Geraci-Yee, S., Goodale, C., Snyder, J., Raines, C.D., and Das, N., 2024, Seasonal mortality of Wild Atlantic Menhaden (Brevoortia tyrannus) is caused by a virulent clone of Vibrio (Listonella) anguillarum; Implications for biosecurity along the Atlantic Coastal United States: Transboundary and Emerging Diseases, v. 2024, 8816604 , 18 p., https://doi.org/10.1155/2024/8816604.","productDescription":"8816604 , 18 p.","ipdsId":"IP-153348","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":487999,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1155/2024/8816604","text":"Publisher Index Page"},{"id":429380,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2024","noUsgsAuthors":false,"publicationDate":"2024-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Lovy, Jan 0000-0003-2704-0822","orcid":"https://orcid.org/0000-0003-2704-0822","contributorId":331539,"corporation":false,"usgs":true,"family":"Lovy","given":"Jan","email":"","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":901692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":79382,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":901693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welch, Timothy J.","contributorId":336999,"corporation":false,"usgs":false,"family":"Welch","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":80941,"text":"National Center for Cool and Cold Water Aquaculture, US Department of Agriculture/Agricultural Research Service, WV 25430, USA","active":true,"usgs":false}],"preferred":false,"id":901694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allem, Bassem","contributorId":337000,"corporation":false,"usgs":false,"family":"Allem","given":"Bassem","email":"","affiliations":[{"id":80942,"text":"School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY 11794-5000, USA","active":true,"usgs":false}],"preferred":false,"id":901695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Getchell, Rodman G.","contributorId":201129,"corporation":false,"usgs":false,"family":"Getchell","given":"Rodman","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":901696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Geraci-Yee, Sabrina","contributorId":337001,"corporation":false,"usgs":false,"family":"Geraci-Yee","given":"Sabrina","email":"","affiliations":[{"id":80942,"text":"School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY 11794-5000, USA","active":true,"usgs":false}],"preferred":false,"id":901697,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goodale, Christine L","contributorId":243972,"corporation":false,"usgs":false,"family":"Goodale","given":"Christine L","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":901698,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Snyder, Jeremy","contributorId":337002,"corporation":false,"usgs":false,"family":"Snyder","given":"Jeremy","email":"","affiliations":[{"id":80943,"text":"Animal Health Diagnostic Laboratory, New Jersey Department of Agriculture, Ewing, NJ 08628, USA","active":true,"usgs":false}],"preferred":false,"id":901699,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Raines, Clayton D. 0000-0002-0403-190X","orcid":"https://orcid.org/0000-0002-0403-190X","contributorId":296362,"corporation":false,"usgs":true,"family":"Raines","given":"Clayton","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":901700,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Das, Nilanjana","contributorId":337003,"corporation":false,"usgs":false,"family":"Das","given":"Nilanjana","email":"","affiliations":[{"id":80944,"text":"Office of Fish and Wildlife Health and Forensics, New Jersey Fish and Wildlife, Oxford, NJ 07863, USA","active":true,"usgs":false}],"preferred":false,"id":901701,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ]}