Sleeper populations are established populations of introduced species whose population growth is limited by one or more abiotic or biotic conditions. Sleeper populations pose an invasion risk if a change in those limiting conditions, such as climate change, enables population growth and invasion. With thousands of established introduced species, it is critical that we identify and prioritize potential sleepers. Here, we identified introduced plants established in the northeastern United States with high impacts and the potential to expand with climate change. Of 1795 introduced plants established in one or more northeastern states, we focused on 118 taxa regulated by one or more states outside the Northeast plus 61 taxa recorded as invasive globally and under consideration for regulation in the Northeast. We used the environmental impact classification for alien taxa framework to quantify negative ecological and socioeconomic impacts reported in the scientific literature for these 169 taxa. We compared mean minimum winter temperature and annual precipitation where the species were abundant with current and future climate in the Northeast to evaluate whether climate change could increase risk. We identified 49 plants with ecological impacts linked to loss of native diversity and 94 plants with socioeconomic impacts. 81 species showed an increase in climatic suitability for abundant populations with climate change. Using ecological impact, increased climate suitability, and presence in fewer than 20 Northeastern counties, we highlight 18 species as high priorities for potential management in the Northeast. This approach can inform climate-smart, proactive management of sleeper populations before they become invasive.
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In environments ranging from freshwater through marine, this biodiversity underpins the health, culture, opportunities, and economic wellbeing of the Nation -- from local communities to the entire country. The ability to evaluate the status, trends, and future projections of nature is key to maintaining national prosperity, and this requires timely and trusted information about the condition of aquatic biodiversity on a vast scale. 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and associated metal-rich precipitates have recently been proposed as unconventional sources of rare earth elements (REEs). However, the potential occurrence of radium (Ra), a known carcinogen, with the REE-bearing phases has not been investigated. We hypothesized that Ra may occur in solids that are precipitated from CMD as a “radiobarite” solid solution ((Ba,Sr,Ra)SO4) and/or adsorbed with hydrous metal oxides. REEs have been documented to sorb or co-precipitate with iron (Fe), manganese (Mn), and aluminum (Al) oxyhydroxide in CMD solids. Likewise, Ra has been documented to sorb to hydrous Fe and Mn oxides especially where sulfate (SO4) and/or barium (Ba) concentrations are insufficient to precipitate radiobarite. Thus, we conducted the first-ever survey of Ra concentrations in corresponding CMD water and solid samples in the United States. Samples were analyzed from 4 untreated and 9 treated CMD sites in both the bituminous and anthracite coal regions of Pennsylvania across a range of pH and SO4 concentrations. The dissolved Ra in CMD was relatively low (<0.5 Bq/L), consistent with radiobarite solubility; however, CMD solids were largely composed of amorphous Fe, Al, and Mn oxyhydroxide and silicate minerals. Ra was associated with Mn-enriched CMD solids, upwards of 875 Bq/kg. Total REE + yttrium (Y) content in the CMD solids was enriched upwards of 3600 mg/kg and was significantly correlated with Al content. These preliminary results suggest that REE extraction may target Al-rich solids to avoid Ra in Mn-rich solids.
The U.S. Geological Survey Ohio Water Microbiology Laboratory is a part of the Ohio-Kentucky-Indiana Water Science Center. The mission of the laboratory is to provide microbiological data of public health significance from surface waters, groundwaters, and sediments for a variety of study objectives. The laboratory conducts internal projects, works with external cooperators, and assists U.S. Geological Survey offices and National programs. The laboratory offers guidance, study design, and data interpretation expertise to collaborators, all following rigorous quality control and quality assurance procedures.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20243004","usgsCitation":"Lanier, B.M., Brady, A.M.G., Cicale, J.R., Kephart, C.M., Lynch, L.D., Schroeder, M.W., and Stelzer, E.A., 2024, The U.S. Geological Survey Ohio Water Microbiology Laboratory: U.S. Geological Survey Fact Sheet 2024–3004, 4 p., https://doi.org/10.3133/fs20243004.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-158056","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":429504,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2024/3004/images/"},{"id":429503,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2024/3004/fs20243004.XML","linkFileType":{"id":8,"text":"xml"},"description":"FS 2024-3004 XML"},{"id":429502,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20243004/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2024-3004 HTML"},{"id":429501,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2024/3004/fs20243004.pdf","text":"Report","size":"4.28 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2024-3004 PDF"},{"id":429500,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2024/3004/coverthb.jpg"}],"contact":"Director, Ohio-Kentucky-Indiana Water Science Center,
Ohio Water Microbiology Laboratory
U.S. Geological Survey
6460 Busch Blvd, Suite 100
Columbus, OH 43229
Laboratory email: gs-w-ohclb_owml@usgs.gov
","tableOfContents":"The bedrock geology of the Woodstock 7.5-minute quadrangle consists of highly deformed metasedimentary rocks of the Central Maine trough, including the Silurian Rangeley and Perry Mountain Formations and the Devonian Littleton Formation. The central, northern, and eastern parts of the quadrangle are underlain by the oldest rocks in the area, the Rangeley Formation. In the southwest and south-central part of the quadrangle, metaturbidites of the Perry Mountain Formation and subsequent Littleton Formation overly the Rangeley Formation in a deformed F1 synform, herein informally called the Bagley Brook basin. The metasedimentary rocks were intruded by widespread syn- to post-tectonic granitoids of the Devonian New Hampshire Plutonic Suite and minor post-metamorphic Jurassic-Cretaceous mafic dikes of the White Mountain Plutonic-Volcanic Suite. The metasedimentary rocks were affected by at least two episodes of deformation in the Devonian Acadian orogeny. The dominant regional foliation is second-generation (S2/D2) and formed during the development of sillimanite-muscovite mineral assemblages. Large bodies of the Early Devonian Kinsman Granodiorite intruded the metasedimentary rocks semi-concordantly during D2 deformation. Dikes of the Late Devonian Concord Granite cut the Kinsman Granodiorite and the metasedimentary rocks and were emplaced either syn- or post-D2. The map pattern in the Rangeley Formation is dominated by northeast to northwest trending, moderately to steeply north-dipping F2 and F3 folds. Map-scale F1 folds are defined by the Bagley Brook basin. Previous division of Rangeley Formation stratigraphy in this region into “upper” and “lower” parts was not corroborated by 1:24,000-scale mapping of lithodemic units, and rocks previously mapped as part of the Smalls Falls and Madrid Formations are here reassigned to the Rangeley Formation. Some rocks previously mapped as the lower part of the Littleton Formation are now assigned to the Perry Mountain Formation. The Littleton Formation on this map is approximately equivalent to rocks previously mapped as the upper part of the same formation.
Steeply dipping fractures in the quadrangle show a preferred northeast orientation, consistent with subsurface fracture orientations in the well fields near Mirror Lake. Jurassic-Cretaceous mafic dikes and normal faults show preferred northeast orientations, similar to the fractures, suggesting that the extensional stress field that controlled dike orientation during the Mesozoic also produced the dominant brittle fabrics in the area.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3522","collaboration":"Prepared in cooperation with the State of New Hampshire, Department of Environmental Services, New Hampshire Geological Survey; and the U.S. Department of Agriculture Forest Service","usgsCitation":"Walsh, G.J., Burton, W.C., Armstrong, T.R., and Crider, E.A., Jr., 2024, Bedrock geologic map of the Woodstock quadrangle, Grafton County, New Hampshire: U.S. Geological Survey Scientific Investigations Map 3522, 1 sheet, scale 1:24,000, includes 20-p. pamphlet, https://doi.org/10.3133/sim3522.","productDescription":"Report: viii, 20 p.; 1 Sheet: 38.22 x 36.27 inches; Data Release","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-133738","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":429746,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3522/sim3522_sheet.pdf","text":"Sheet","size":"131 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3522 Sheet"},{"id":429740,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3522/coverthb.jpg"},{"id":429895,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3522/images/"},{"id":429741,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3522/sim3522_pamphlet.pdf","text":"Pamphlet","size":"24.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3522 PDF"},{"id":429743,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sim/3522/sim3522.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIM 3522 XML"},{"id":429745,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96TJ9OI","text":"USGS data release","linkHelpText":"Database for the bedrock geologic map of the Woodstock quadrangle, Grafton County, New Hampshire"},{"id":499290,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117075.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Hampshire","county":"Grafton County","otherGeospatial":"Woodstock quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.75,\n 44\n ],\n [\n -71.75,\n 43.875\n ],\n [\n -71.625,\n 43.875\n ],\n [\n -71.625,\n 44\n ],\n [\n -71.75,\n 44\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Florence Bascom Geoscience Center
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 926A
Reston, VA 20192
Pollinators are vital to the continued existence and seed production of about 87.5 percent of all flowering plants (Ollerton and others, 2011). In the semi-desert grasslands of Buenos Aires National Wildlife Refuge, in the Sonoran Desert of the United States, flowering forbs provide seed vital to the food base of wildlife, including the 136 species of resident and migratory birds using the Refuge’s grasslands and, notably, the endangered Colinus virginianus ridgwayi (masked bobwhite quail) for which the Refuge was established. The Sonoran Desert is known for its high diversity of native bees, but these pollinators have not been extensively described at the Refuge. We conducted a survey of native bees at the Refuge from late May 2019 through early February 2020. Of all bees collected, we subsampled, curated, and identified over 3,300 bees representing 39 genera within four families (Andrenidae, Apidae, Halictidae, Megachilidae). For about 8 percent of the sampled bees, we further identified 36 species and several potentially new, undescribed species using either visual or deoxyribonucleic acid (DNA) barcoding methods. Sampling was done using bee bowls and blue-vane traps. Our initial results suggest the Refuge is species rich in native bees and supports diverse bee faunas across subtle differences in plant composition and location within the Refuge. Continued survey, inventory, and focused monitoring of the bee populations of the Refuge will be valuable in understanding the relationship of bee populations with the health and productivity of seed-bearing plants, effect of prescribed fire on bee fauna, the ongoing dynamics of bee-plant interactions, and how the bee pollinator community of the Refuge is responding to stressors, such as invasive species proliferation and changing climate conditions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241032","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Thomas, K.A., Hoover, A.M., and Busby, M.K., 2024, Bees of the Buenos Aires National Wildlife Refuge—A preliminary report on a bee survey in a vulnerable semi-desert grassland of the Sonoran Desert: U.S. Geological Survey Open-File Report 2024–1032, 21 p., https://doi.org/10.3133/ofr20241032.","productDescription":"Report: vii, 21 p.; Data Release","numberOfPages":"21","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-161924","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":429641,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14RBPX6","text":"USGS data release","linkHelpText":"Native bees of the Buenos Aires National Wildlife Refuge, Arizona—Taxonomic data and site photos"},{"id":429643,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1032/images"},{"id":429642,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1032/ofr20241032.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2024-1032 XML"},{"id":429640,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241032/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1032 HTML"},{"id":429638,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1032/coverthb.jpg"},{"id":429639,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1032/ofr20241032.pdf","text":"Report","size":"8.78 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1032 PDF"}],"country":"United States","state":"Arizona","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.34600607233955,\n 31.811926084014814\n ],\n [\n -111.48376599564885,\n 31.820170097682563\n ],\n [\n -111.47115417168378,\n 31.77984272758715\n ],\n [\n -111.52063132723872,\n 31.769202281546505\n ],\n [\n -111.51092992418879,\n 31.74132758990559\n ],\n [\n -111.49540767930924,\n 31.738373313233033\n ],\n [\n -111.49734795991913,\n 31.67272026192875\n ],\n [\n -111.56913834248876,\n 31.603764490123936\n ],\n [\n -111.57495918431833,\n 31.508050231602496\n ],\n [\n -111.45563192680406,\n 31.46419734455464\n ],\n [\n -111.45029615512642,\n 31.553114075689212\n ],\n [\n -111.41973673551955,\n 31.554351522357223\n ],\n [\n -111.37219986057468,\n 31.58649382404225\n ],\n [\n -111.34600607233955,\n 31.811926084014814\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Southwest Biological Science Center
U.S. Geological Survey
2255 N. Gemini Drive
Flagstaff, AZ 86001
Northern myotis Myotis septentrionalis are one of the bat species most affected by white-nose syndrome (WNS), and disease-induced declines may cause compounding effects when combined with other threats such as habitat loss and fragmentation. Recent evidence suggests that peripheral populations are persisting in post-WNS years; however, the environmental factors that influence the occurrence of this species along the Atlantic Coastal Plain are virtually unknown. We conducted a large-scale acoustic survey on 3 islands: Long Island, New York, and Martha’s Vineyard and Nantucket, Massachusetts, USA, and used a multi-scale occupancy modeling approach to determine the landscape and abiotic factors affecting the distribution of northern myotis. Our estimates of occupancy and detection probability suggest widespread presence across the islands. At the local (200 m) scale, we identified strong negative effects of development on Long Island and Nantucket and a strong positive effect of forest habitat on Martha’s Vineyard. None of the variables we measured sufficiently explained the landscape (1 km2 ) occupancy of this species, which was very high (ψ = 0.81–0.97), representing an outlier for this species in the post-WNS landscape. The lack of association at the landscape scale suggests that general differences in land cover are not a driving factor of higher occupancy of peripheral northern myotis populations, while local site- specific conditions may be supporting critical foraging or roosting habitat. Because islands are particularly vulnerable to human-driven habitat alteration due to the constraint of limited space, and development pressure is expected to increase, this study provides a baseline to enable managers to assess the effects of future environmental disturbances and monitor population trends to support long-term survival of northern myotis.
","language":"English","publisher":"Inter-Research","doi":"10.3354/esr01335","usgsCitation":"Hoff, S., Mosher, B., Watson, M., Johnson, L., Olson, E., O’Dell, D., Pendergast, C.J., Bogan, D.A., Herzog, C.J., and Turner, W.C., 2024, Widespread occupancy of the endangered northern myotis on northeastern Atlantic Coastal Plain islands: Endangered Species Research, v. 54, p. 141-153, https://doi.org/10.3354/esr01335.","productDescription":"13 p.","startPage":"141","endPage":"153","ipdsId":"IP-158096","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439405,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01335","text":"Publisher Index Page"},{"id":433568,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts, New York","otherGeospatial":"Long Island, Martha's Vineyard, Nantucket","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.72456524610662,\n 41.44291621427166\n ],\n [\n -73.72456524610662,\n 40.57243247892035\n ],\n [\n -69.85737774610656,\n 40.57243247892035\n ],\n [\n -69.85737774610656,\n 41.44291621427166\n ],\n [\n -73.72456524610662,\n 41.44291621427166\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"54","noUsgsAuthors":false,"publicationDate":"2024-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Hoff, Samantha","contributorId":342962,"corporation":false,"usgs":false,"family":"Hoff","given":"Samantha","email":"","affiliations":[{"id":81956,"text":"University at Albany","active":true,"usgs":false}],"preferred":false,"id":910538,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mosher, Brittany A.","contributorId":342963,"corporation":false,"usgs":false,"family":"Mosher","given":"Brittany A.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":910539,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watson, Mandy","contributorId":342964,"corporation":false,"usgs":false,"family":"Watson","given":"Mandy","email":"","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":910540,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Luanne","contributorId":342965,"corporation":false,"usgs":false,"family":"Johnson","given":"Luanne","affiliations":[{"id":81959,"text":"BiodiversityWorks","active":true,"usgs":false}],"preferred":false,"id":910541,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olson, Elizabeth","contributorId":342966,"corporation":false,"usgs":false,"family":"Olson","given":"Elizabeth","email":"","affiliations":[{"id":81959,"text":"BiodiversityWorks","active":true,"usgs":false}],"preferred":false,"id":910542,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Dell, Danielle","contributorId":342967,"corporation":false,"usgs":false,"family":"O’Dell","given":"Danielle","email":"","affiliations":[{"id":81960,"text":"Nantucket Conservation Foundation","active":true,"usgs":false}],"preferred":false,"id":910543,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pendergast, Casey J.","contributorId":342968,"corporation":false,"usgs":false,"family":"Pendergast","given":"Casey","email":"","middleInitial":"J.","affiliations":[{"id":81956,"text":"University at Albany","active":true,"usgs":false}],"preferred":false,"id":910544,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bogan, Daniel A.","contributorId":342969,"corporation":false,"usgs":false,"family":"Bogan","given":"Daniel","email":"","middleInitial":"A.","affiliations":[{"id":81961,"text":"Siena College","active":true,"usgs":false}],"preferred":false,"id":910545,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Herzog, Carl J.","contributorId":342970,"corporation":false,"usgs":false,"family":"Herzog","given":"Carl","email":"","middleInitial":"J.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":910546,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910547,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70261712,"text":"70261712 - 2024 - A survey of the severity of mental health symptoms in the planetary science community","interactions":[],"lastModifiedDate":"2024-12-19T15:12:11.407796","indexId":"70261712","displayToPublicDate":"2024-06-13T09:05:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6448,"text":"Nature Astronomy","active":true,"publicationSubtype":{"id":10}},"title":"A survey of the severity of mental health symptoms in the planetary science community","docAbstract":"There is a growing recognition of a mental health crisis within the academic and research communities. Members of the planetary science community have called for healthier work environments to improve mental well-being. As a preliminary step towards improving workplace culture, we sought to determine whether the broader mental health crisis extends to planetary science and to assess the severity of anxiety, depressive and stress symptoms. Our 2022 mental health survey of the planetary science community suggests that the severity of anxiety and depressive symptoms in the community is greater than in the general US population. Furthermore, anxiety and depressive symptoms are more severe for graduate students and postdoctoral researchers than any other career stage. Comparing groups within planetary science, we found that anxiety, depressive and/or stress symptoms appear greater among marginalized groups, such as women, people of colour and members of the LGBTQ+ community. A mental health problem is impacting the planetary science community. Improving well-being will promote enhanced research quality and productivity.
","language":"English","publisher":"Nature","doi":"10.1038/s41550-024-02293-w","usgsCitation":"Trang, D., Swafford, C.E., Kreps, T.A., Vance, S.D., Davidson, J., Filiberto, J., Ostrach, L.R., and Richey, C.R., 2024, A survey of the severity of mental health symptoms in the planetary science community: Nature Astronomy, v. 8, p. 691-696, https://doi.org/10.1038/s41550-024-02293-w.","productDescription":"6 p.","startPage":"691","endPage":"696","ipdsId":"IP-156250","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":465330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2024-06-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Trang, David","contributorId":347376,"corporation":false,"usgs":false,"family":"Trang","given":"David","email":"","affiliations":[{"id":83152,"text":"University of Hawai'i, Space Science Institute","active":true,"usgs":false}],"preferred":false,"id":921559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swafford, Christina E.","contributorId":347377,"corporation":false,"usgs":false,"family":"Swafford","given":"Christina","email":"","middleInitial":"E.","affiliations":[{"id":83153,"text":"Hawai'i Center for Children and Families","active":true,"usgs":false}],"preferred":false,"id":921560,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kreps, Tamar A.","contributorId":347378,"corporation":false,"usgs":false,"family":"Kreps","given":"Tamar","email":"","middleInitial":"A.","affiliations":[{"id":35760,"text":"University of Hawai'i","active":true,"usgs":false}],"preferred":false,"id":921561,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vance, Steven D.","contributorId":328942,"corporation":false,"usgs":false,"family":"Vance","given":"Steven","email":"","middleInitial":"D.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":921562,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Davidson, Jemma","contributorId":347379,"corporation":false,"usgs":false,"family":"Davidson","given":"Jemma","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":921563,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Filiberto, Justin","contributorId":206599,"corporation":false,"usgs":false,"family":"Filiberto","given":"Justin","email":"","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":921564,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ostrach, Lillian R. 0000-0002-3107-7321 lostrach@usgs.gov","orcid":"https://orcid.org/0000-0002-3107-7321","contributorId":193078,"corporation":false,"usgs":true,"family":"Ostrach","given":"Lillian","email":"lostrach@usgs.gov","middleInitial":"R.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":921565,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Richey, Christina R.","contributorId":347380,"corporation":false,"usgs":false,"family":"Richey","given":"Christina","email":"","middleInitial":"R.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":921566,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70255707,"text":"70255707 - 2024 - Development of an 8K SNP chip to assess adaptive diversity and hybridization in polar bears","interactions":[],"lastModifiedDate":"2024-09-23T16:10:42.541003","indexId":"70255707","displayToPublicDate":"2024-06-13T08:28:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1325,"text":"Conservation Genetics Resources","active":true,"publicationSubtype":{"id":10}},"title":"Development of an 8K SNP chip to assess adaptive diversity and hybridization in polar bears","docAbstract":"The polar bear (Ursus maritimus) is a species particularly vulnerable to the effects of climate change. As the climate warms, polar bears will be forced to move to more suitable habitats which are likely to shrink, adapt to the new conditions, or decline in population size. However, the genomic diversity within and among all 19 subpopulations of polar bears, and therefore their adaptive potential, is currently unknown. In addition, warmer climates are likely to result in more frequent contact between polar bears and grizzly bears (U. arctos), with which they can hybridize. Here we describe the development, quality control, and application of the Ursus maritimus V2 SNP chip. This 8 K SNP chip contains loci explicitly selected to assess both RAD-derived and transcriptome-derived loci, as well as SNPs to detect hybridization between species. A total of 7,239 loci (90.3% of those printed) were successfully genotyped, with over 99% genotype concordance for individuals typed in duplicate on this chip, and between individuals typed here and on the Ursus maritimus V1 SNP chip. Using simulations, we demonstrate that the markers have high accuracy and efficiency to detect hybridization and backcrosses between polar bears and grizzly bears. However, empirical analysis of 371 polar bears, 440 grizzly bears, and 8 known hybrids found no novel instances of recent hybridization. The Ursus maritimus V2 SNP chip provides a powerful tool for monitoring the adaptive potential of this species along with assessing population structure, quantitative genomics, and hybridization in polar bears.
","language":"English","publisher":"Springer Link","doi":"10.1007/s12686-024-01359-1","usgsCitation":"Miller, J.D., Malenfant, R., Rivkin, L.R., Atwood, T.C., Baryluk, S., Born, E.W., Dietz, R., Laidre, K.L., Pongracz, J., Richardson, E., Wiig, Ø., and Davis, C., 2024, Development of an 8K SNP chip to assess adaptive diversity and hybridization in polar bears: Conservation Genetics Resources, v. 16, p. 237-249, https://doi.org/10.1007/s12686-024-01359-1.","productDescription":"13 p.","startPage":"237","endPage":"249","ipdsId":"IP-132450","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":439407,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12686-024-01359-1","text":"Publisher Index Page"},{"id":430718,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","noUsgsAuthors":false,"publicationDate":"2024-06-13","publicationStatus":"PW","contributors":{"editors":[{"text":"Laidre, Kristin L.","contributorId":191798,"corporation":false,"usgs":false,"family":"Laidre","given":"Kristin","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":905375,"contributorType":{"id":2,"text":"Editors"},"rank":5}],"authors":[{"text":"Miller, Joshua D.","contributorId":331008,"corporation":false,"usgs":false,"family":"Miller","given":"Joshua","email":"","middleInitial":"D.","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":905369,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Malenfant, Rene","contributorId":339847,"corporation":false,"usgs":false,"family":"Malenfant","given":"Rene","email":"","affiliations":[{"id":18889,"text":"University of New Brunswick","active":true,"usgs":false}],"preferred":false,"id":905370,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rivkin, L. Ruth","contributorId":339873,"corporation":false,"usgs":false,"family":"Rivkin","given":"L.","email":"","middleInitial":"Ruth","affiliations":[],"preferred":false,"id":905486,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":905371,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baryluk, Steven","contributorId":339874,"corporation":false,"usgs":false,"family":"Baryluk","given":"Steven","email":"","affiliations":[],"preferred":false,"id":905372,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Born, Erik W.","contributorId":8379,"corporation":false,"usgs":false,"family":"Born","given":"Erik","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":905487,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dietz, Rune","contributorId":191799,"corporation":false,"usgs":false,"family":"Dietz","given":"Rune","email":"","affiliations":[],"preferred":false,"id":905488,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Laidre, Kristen L.","contributorId":206854,"corporation":false,"usgs":false,"family":"Laidre","given":"Kristen","email":"","middleInitial":"L.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":905489,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pongracz, Jodie","contributorId":339875,"corporation":false,"usgs":false,"family":"Pongracz","given":"Jodie","email":"","affiliations":[],"preferred":false,"id":905490,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Richardson, Evan","contributorId":194428,"corporation":false,"usgs":false,"family":"Richardson","given":"Evan","affiliations":[],"preferred":false,"id":905373,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wiig, Øystein","contributorId":13469,"corporation":false,"usgs":true,"family":"Wiig","given":"Øystein","affiliations":[],"preferred":false,"id":905491,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Davis, Corey","contributorId":221987,"corporation":false,"usgs":false,"family":"Davis","given":"Corey","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":905374,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70259099,"text":"70259099 - 2024 - Low rate of population establishment of a freshwater invertebrate (Gammarus lacustris) in experimental conservation translocations","interactions":[],"lastModifiedDate":"2024-09-27T11:52:54.565701","indexId":"70259099","displayToPublicDate":"2024-06-13T06:48:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Low rate of population establishment of a freshwater invertebrate (Gammarus lacustris) in experimental conservation translocations","docAbstract":"Conservation translocations may be a useful tool for the restoration of declining freshwater invertebrates, but they are poorly represented in the literature. We conducted a before-after/control-impact (BACI) experiment to test the efficacy of conservation translocation for re-establishing abundant populations of the amphipod Gammarus lacustris, a declining species and wildlife food resource in depressional wetlands in the upper Midwest of the United States of America. Each study site (n = 19) contained at least one treatment wetland receiving translocated G. lacustris from a local donor and one control wetland. We selected study wetlands based on a suite of wetland characteristics and randomly assigned recipient versus control treatment. Gammarus lacustris was detected post-translocation at only 2 of 22 recipient wetlands (1 of 19 sites). Overall, there was a statistical increase in G. lacustris density in recipient wetlands compared to controls; however, the results were of minimal biological significance due to being driven by a single site with low G. lacustris densities. Accordingly, our results suggest that future conservation translocations of amphipods might be successful if limited to recently restored wetlands or informed by a more complex habitat suitability model to differentiate dispersal limitations from habitat limitations. To develop such a model would involve identifying the fewest, most influential physical and biological factors (e.g. wetland size/structure, fish, aquatic vegetation, and water chemistry) from the numerous inter-related factors that correlate with the abundance of naturally occurring G. lacustris; candidate wetlands to receive amphipods would be those for which the model predicts abundant G. lacustris but in which they do not presently occur.
Chronic wasting disease (CWD) is a fatal prion disease of cervids spreading across North America. More effective mitigation efforts may require expansion of the available toolkit to include new methods that provide earlier antemortem detection, higher throughput, and less expense than current immunohistochemistry (IHC) methods. The rectal mucosa near the rectoanal junction is a site of early accumulation of CWD prions and is safely sampled in living animals by pinch biopsy. A fluorescence-based, 96-well format, protein-aggregation assay-the real-time quaking-induced conversion (RT-QuIC) assay-is capable of ultra-sensitive detection of CWD prions. Notably, the recombinant protein substrate is crucial to the assay's performance and is now commercially available. In this blinded independent study, the preclinical diagnostic performance of a standardized RT-QuIC protocol using a commercially sourced substrate (MNPROtein) and a laboratory-produced substrate was studied using mock biopsy samples of the rectal mucosa from 284 white-tailed deer (Odocoileus virginianus). The samples were from a frozen archive of intact rectoanal junctions collected at depopulations of farmed herds positive for CWD in the United States. All deer were pre-clinical at the time of depopulation and infection status was established from the regulatory record, which evaluated the medial retropharyngeal lymph nodes (MRPLNs) and obex by CWD-IHC. A pre-analytic sample precipitation step was found to enhance the protocol's detection limit. Performance metrics were influenced by the choice of RT-QuIC diagnostic cut points (minimum number of positive wells and assay time) and by deer attributes (preclinical infection stage and prion protein genotype). The peak overall diagnostic sensitivities of the protocol were similar for both substrates (MNPROtein, 76.8%; laboratory-produced, 73.2%), though each was achieved at different cut points. Preclinical infection stage and prion protein genotype at codon 96 (G = glycine, S = serine) were primary predictors of sensitivity. The diagnostic sensitivities in late preclinical infections (CWD-IHC positive MPRLNs and obex) were similar, ranging from 96% in GG96 deer to 80% in xS96 deer (x = G or S). In early preclinical infections (CWD-IHC positive MRPLNs only), the diagnostic sensitivity was 64-71% in GG96 deer but only 25% in xS96 deer. These results demonstrate that this standardized RT-QuIC protocol for rectal biopsy samples using a commercial source of substrate produced stratified diagnostic sensitivities similar to or greater than those reported for CWD-IHC but in less than 30 hours of assay time and in a 96-well format. Notably, the RT-QuIC protocol used herein represents a standardization of protocols from several previous studies. Alignment of the sensitivities across these studies suggests the diagnostic performance of the assay is robust given quality reagents, optimized diagnostic criteria, and experienced staff.
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University","active":true,"usgs":false}],"preferred":false,"id":937805,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schneider, David A.","contributorId":355632,"corporation":false,"usgs":false,"family":"Schneider","given":"David A.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":937806,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70255030,"text":"ofr20241024 - 2024 - Neotropical migratory bird monitoring study at Marine Corps Base Camp Pendleton, California—2021 annual data summary","interactions":[],"lastModifiedDate":"2024-06-13T13:30:39.085831","indexId":"ofr20241024","displayToPublicDate":"2024-06-12T11:20:33","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File 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The stations were established to provide data on Neotropical migratory birds at MCBCP to support the dual missions of environmental stewardship and military readiness.
A total of 1,227 individual birds were captured in 2021 between the two stations: 395 at De Luz and 832 at Santa Margarita (both 15 banding days). Of these 1,227 individuals captured, 955 were newly banded (273 at De Luz and 682 at Santa Margarita), 150 were recaptures banded before 2021 (28 at De Luz and 122 at Santa Margarita, excluding recaptures released before reading band number [1 at De Luz and 3 at Santa Margarita]), and 118 were unbanded (93 at De Luz and 25 at Santa Margarita). Return rate in 2021 was much lower than the annual mean at De Luz (1995–2019) and similar to the annual mean at the Santa Margarita station (1998–2020). The sex ratio of known-sex adult birds was skewed toward males at both stations in 2021.
Species richness was similar at De Luz from 2019 to 2021, increased at Santa Margarita from 2020 to 2021 and was above annual means at both sites (1995–2019 and 1998–2020, respectively). The most abundant species at De Luz were Wrentit (Chamaea fasciata) and Allen’s Hummingbird (Selasphorus sasin). Song Sparrow (Melospiza melodia) and Common Yellowthroat (Geothlypis trichas) were most abundant at Santa Margarita.
Since 2002, we have examined the population trends of 12 species at De Luz and 13 species at Santa Margarita for which numbers of known-age individuals were adequate for statistical analysis. We estimated population size and calculated indices of productivity and survival for a subset of these species with sufficient captures and recaptures for valid parameter estimation—four at De Luz and six at Santa Margarita. We determined that in 2021, abundance of 42 percent (5 of 12) of focal species at De Luz and 38 percent (5 of 13) of focal species at Santa Margarita was below the annual mean abundance. Of the focal species below mean abundance, 40 percent (2 of 5) at De Luz and 60 percent (3 of 5) at Santa Margarita were migrant populations. Of the focal species, 25 (3 of 12) percent at De Luz and 31 percent (4 of 13) at Santa Margarita had declining population trends during the span of station operation. With few exceptions, these declines appeared to be associated with conditions on the breeding grounds.
Annual productivity (calculated as the ratio of juveniles to adults among individual captures) was zero for all focal species at De Luz in 2021. At Santa Margarita, productivity increased from year 2020 to 2021 for Common Yellowthroat, Song Sparrow, and Yellow Warbler (Setophaga petechia) and declined from year 2020 to 2021 for Least Bell’s Vireo (Vireo bellii pusillus), but productivity was above the 1998–2020 mean for all four species, whereas productivity was maintained for Orange-crowned Warbler (Leiothlypis celata) and Yellow-breasted Chat (Icteria virens). Winter precipitation affected productivity of Black-headed Grosbeak (Pheucticus melanocephalus), Common Yellowthroat, and Song Sparrow at De Luz and affected productivity of Common Yellowthroat, Orange-crowned Warbler, Song Sparrow, Yellow-breasted Chat, and Yellow Warbler at Santa Margarita.
We calculated the mean annual adult survival for 1998–2020 at Santa Margarita, excluding years when the station was not operated. Survival could not be calculated for De Luz in 2021 because the station was not operated in 2020. Model-averaged annual adult survival ranged from 42 to 66 percent for residents and from 30 to 66 percent for migrants at Santa Margarita. Survival of Common Yellowthroat, Song Sparrow, and possibly Yellow Warbler was found to be affected by winter precipitation. Sex was a significant predictor of survival for Common Yellowthroat, Least Bell’s Vireo, Orange-crowned Warbler, and Yellow-breasted Chat at Santa Margarita, where females were found to have lower survival than males.
At Santa Margarita, multiple regression analyses examining adult survival and productivity as predictors of future population size indicated that resident Song Sparrow and migrant Yellow Warbler populations were affected by population size from the previous year, migrant Yellow-breasted Chat populations were affected by productivity from the previous year, and migrant Orange-Crowned Warbler populations were affected by survival from the previous year. Updated previous-year population size predictions could not be calculated for De Luz because the station was not operated in 2020.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241024","collaboration":"Prepared in cooperation with Assistant Chief of Staff, Environmental Security, U.S. Marine Corps Base Camp Pendleton","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Mendia, S.M., and Kus, B.E., 2024, Neotropical migratory bird monitoring study at Marine Corps Base Camp Pendleton, California—2021 annual data summary: U.S. Geological Survey Open-File Report 2024–1024, 69 p., https://doi.org/10.3133/ofr20241024.","productDescription":"viii, 69 p.","numberOfPages":"69","onlineOnly":"Y","ipdsId":"IP-155196","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":429918,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1024/covrthb.jpg"},{"id":429919,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1024/ofr20241024.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":429920,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1024/ofr20241024.xml"},{"id":429921,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1024/images"},{"id":429922,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241024/full"}],"country":"United States","state":"California","otherGeospatial":"Marine Corps Base Camp Pendleton","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.38,\n 33.275\n ],\n [\n -117.38,\n 33.26\n ],\n [\n -117.35,\n 33.26\n ],\n [\n -117.35,\n 33.275\n ],\n [\n -117.38,\n 33.275\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.33,\n 33.38\n ],\n [\n -117.33,\n 33.37\n ],\n [\n -117.32,\n 33.37\n ],\n [\n -117.32,\n 33.38\n ],\n [\n -117.33,\n 33.38\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
Drought is one of the key drivers of food insecurity in Afghanistan, which is among the most food insecure countries in the world. In this study, we build on previous research and seek to answer the central question: “What is the influence of El Niño-Southern Oscillation (ENSO) on drought outlooks and agricultural yield outcome in Afghanistan, and how do these influences vary spatially?” We do so by utilizing multiple indicators of droughts and available wheat yield reports. We find a clear distinction in the probability of drought (defined as being in the lower tercile) in Afghanistan during La Niña compared to El Niño events since 1981. The probability of drought in Afghanistan increased during La Niña, particularly in the North, Northeast, and West regions. La Niña events are related to an increase in the probability of snow drought, particularly in parts of the Amu Darya basin. It is found that relative to El Niño events, snow water equivalent [total runoff] during La Niña events January–March (March–July total runoff) decreases between 9% and 30% (28%–42%) for the five major basins in the country. The probability of agricultural drought during La Niña events is found to be higher than 70% in the rainfed and irrigated areas of the Northeast, North, and West regions. This result is at least partly supported by reported wheat yield composites related to La Niña events that tend to be lower than for El Niño events across all regions in the case of rainfed wheat (statistically significant in Northeast, West, and South regions) and in some cases for irrigated wheat. The results of this study have direct implications for improving early warning of worsening food insecurity in Afghanistan during La Niña events, given that we now have long-lead and skillful forecasts of ENSO up to 18–24 months in advance, which could potentially be used to provide earlier warning of worsening food insecurity in Afghanistan
","language":"English","publisher":"Elsevier","doi":"10.1016/j.wace.2024.100697","usgsCitation":"Shukla, S., Zaheer, F., Hoell, A., Anderson, W., Jayanthi, H., Husak, G., Lee, D., Barker, B., Pervez, S., Slinski, K., Justice, C., Rowland, J., McNally, A., Budde, M., and Verdin, J., 2024, ENSO-based outlook of droughts and agricultural outcomes in Afghanistan: Weather and Climate Extremes, v. 45, 100697, 16 p., https://doi.org/10.1016/j.wace.2024.100697.","productDescription":"100697, 16 p.","ipdsId":"IP-155371","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":493783,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.wace.2024.100697","text":"Publisher Index 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Whereas event-based forecasting approaches have been successful, some eruptions remain unanticipated, resulting in casualties and damage. Our study leverages the recent advancements in ambient field seismology. We explore features extracted from continuous ambient fields using traditional methods, for example, peak ground velocity, peak ground acceleration, root mean square, root median square, real-time seismic amplitude measurement, and novel methods (displacement seismic amplitude ratio and spectral width). In addition, we explore unsupervised learning of higher order wavelet features using scattering networks. We find that combining all the methods was necessary to disentangle the effects of seismic sources from structural changes at Mount St. Helens. Although the ambient wavefield-based approach does not yield additional or more significant precursory signals than event-based methods at Mount St. Helens, our study demonstrates that the ambient wavefield provides supplementary information, mainly about structural changes and complements traditional methods. The ambient seismic wavefield offers additional insights into long-lasting processes. We find enhanced wave attenuation correlating with geochemical measurements. We interpret this as ongoing structural changes, such as dome growth or the evolution of the volcanic conduit system. On annual and decadal timescales, we interpret seasonal seismic attenuation in the shallow subsurface as groundwater fluctuations, corroborated by observations at the nearby Spirit Lake level. This multimethod approach at Mount St. Helens sheds light on a volcanic system’s underlying dynamics and structure.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240079","usgsCitation":"Kopfli, M., Denolle, M.A., Thelen, W., Makus, P., and Malone, S.D., 2024, Examining 22 years of ambient seismic wavefield at Mount St. Helens: Seismological Research Letters, v. 95, no. 5, p. 2622-2636, https://doi.org/10.1785/0220240079.","productDescription":"15 p.","startPage":"2622","endPage":"2636","ipdsId":"IP-165361","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":502426,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://gfzpublic.gfz-potsdam.de/pubman/item/item_5028930","text":"External Repository"},{"id":463321,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Mount St. Helens","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.31756649267834,\n 46.312979175785955\n ],\n [\n -122.31756649267834,\n 46.11452113542518\n ],\n [\n -122.04090627523671,\n 46.11452113542518\n ],\n [\n -122.04090627523671,\n 46.312979175785955\n ],\n [\n -122.31756649267834,\n 46.312979175785955\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"95","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Kopfli, Manuela","contributorId":345688,"corporation":false,"usgs":false,"family":"Kopfli","given":"Manuela","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":917258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Denolle, Marine A.","contributorId":345689,"corporation":false,"usgs":false,"family":"Denolle","given":"Marine","email":"","middleInitial":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":917259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thelen, Weston 0000-0003-2534-5577","orcid":"https://orcid.org/0000-0003-2534-5577","contributorId":215530,"corporation":false,"usgs":true,"family":"Thelen","given":"Weston","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Makus, Peter","contributorId":345690,"corporation":false,"usgs":false,"family":"Makus","given":"Peter","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":917261,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Malone, Stephen D.","contributorId":202015,"corporation":false,"usgs":false,"family":"Malone","given":"Stephen","email":"","middleInitial":"D.","affiliations":[{"id":34100,"text":"Earth and Space Sciences, University of Washington, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":917262,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70256219,"text":"70256219 - 2024 - An ensemble mean method for remote sensing of actual evapotranspiration to estimate water budget response across a restoration landscape","interactions":[],"lastModifiedDate":"2024-07-29T13:58:25.97437","indexId":"70256219","displayToPublicDate":"2024-06-12T08:41:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"An ensemble mean method for remote sensing of actual evapotranspiration to estimate water budget response across a restoration landscape","docAbstract":"Estimates of actual evapotranspiration (ETa) are valuable for effective monitoring and management of water resources. In areas that lack ground-based monitoring networks, remote sensing allows for accurate and consistent estimates of ETa across a broad scale—though each algorithm has limitations (i.e., ground-based validation, temporal consistency, spatial resolution). We developed an ensemble mean ETa (EMET) product to incorporate advancements and reduce uncertainty among algorithms (e.g., energy-balance, optical-only), which we use to estimate vegetative water use in response to restoration practices being implemented on the ground using management interventions (i.e., fencing pastures, erosion control structures) on a private ranch in Baja California Sur, Mexico. This paper describes the development of a monthly EMET product, the assessment of changes using EMET over time and across multiple land use/land cover types, and the evaluation of differences in vegetation and water distribution between watersheds treated by restoration and their controls. We found that in the absence of a ground-based monitoring network, the EMET product is more robust than using a single ETa data product and can augment the efficacy of ETa-based studies. We then found increased ETa within the restored watershed when compared to the control sites, which we attribute to increased plant water availability.
","language":"English","publisher":"MDPI","doi":"10.3390/rs16122122","usgsCitation":"Petrakis, R., Norman, L., Villarreal, M.L., Senay, G.B., Friedrichs, M., Cassassuce, F., Gomis, F., and Nagler, P.L., 2024, An ensemble mean method for remote sensing of actual evapotranspiration to estimate water budget response across a restoration landscape: Remote Sensing, v. 16, no. 12, 2122, 35 p.; Data Release, https://doi.org/10.3390/rs16122122.","productDescription":"2122, 35 p.; Data Release","ipdsId":"IP-160120","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":439410,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs16122122","text":"Publisher Index Page"},{"id":434943,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZBXG2R","text":"USGS data release","linkHelpText":"Monthly Ensemble Mean Evapotranspiration (EMET) Product for the Los Planes basin in Baja California Sur, Mexico from January 2006 through December 2021: U.S. Geological Survey Data Release"},{"id":431560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","state":"Baja California Sur","otherGeospatial":"Los Planes Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.15,\n 24.185882621902465\n ],\n [\n -110.15,\n 23.666\n ],\n [\n -109.796162654228,\n 23.666\n ],\n [\n -109.796162654228,\n 24.185882621902465\n ],\n [\n -110.15,\n 24.185882621902465\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-06-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Petrakis, Roy E. 0000-0001-8932-077X rpetrakis@usgs.gov","orcid":"https://orcid.org/0000-0001-8932-077X","contributorId":174623,"corporation":false,"usgs":true,"family":"Petrakis","given":"Roy","email":"rpetrakis@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":907134,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":907135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":907136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":3114,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":907137,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Friedrichs, MacKenzie 0000-0002-9602-321X mfriedrichs@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-321X","contributorId":5847,"corporation":false,"usgs":true,"family":"Friedrichs","given":"MacKenzie","email":"mfriedrichs@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":907138,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cassassuce, Florance","contributorId":337023,"corporation":false,"usgs":false,"family":"Cassassuce","given":"Florance","email":"","affiliations":[{"id":80952,"text":"Rancho Ancon","active":true,"usgs":false}],"preferred":false,"id":907139,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gomis, Florent","contributorId":337024,"corporation":false,"usgs":false,"family":"Gomis","given":"Florent","email":"","affiliations":[{"id":80952,"text":"Rancho Ancon","active":true,"usgs":false}],"preferred":false,"id":907140,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":907141,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70255312,"text":"70255312 - 2024 - Source, migration pathways, and atmospheric release of geologic methane associated with the complex permafrost regimes of the outer Mackenzie River Delta, Arctic, Canada","interactions":[],"lastModifiedDate":"2024-06-17T12:07:59.713806","indexId":"70255312","displayToPublicDate":"2024-06-12T07:06:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Source, migration pathways, and atmospheric release of geologic methane associated with the complex permafrost regimes of the outer Mackenzie River Delta, Arctic, Canada","docAbstract":"Sources and fluxes of methane to the atmosphere from permafrost are significant but poorly constrained in global climate models. We present data collected from the variable permafrost setting of the outer Mackenzie River Delta, including observations of aquatic methane seepage, core determinations of in situ methane occurrence and seep gas isotope geochemistry. The sources and locations of in situ geologic methane occurrence and aquatic and atmospheric gas release appear to be controlled by the regional geology and permafrost conditions. Where permafrost is >250 m thick, thermogenic gas deposits at depth are isolated by laterally continuous, low permeability ice-bearing sediments with few through-going thawed taliks. Thus, the observed in situ methane and aquatic gas seepage appears to be dominated by microbial methane. In contrast, where permafrost is <80 m thick, taliks are more likely to be through-going, providing permeable conduits from depth and migration pathways for both thermogenic and biogenic gas. Continuous annual fluid sampling of two lakes and a river channel documents aquatic methane flux from microbial sources, more deeply buried thermogenic sources, and mixtures of both. Using estimates of in situ methane concentration from deep core samples and observations of in situ free gas occurrences, we conclude that the reservoir of in situ geologic methane within ice bonded permafrost is substantial and that this methane is presently migrating with ongoing atmospheric release. It is our assessment that the permafrost setting, and processes described are sensitive to future climate change as the permafrost warms.
The concentration of chlorophyll a in phytoplankton and periphyton represents the amount of algal biomass. We compiled an 18-year record (2005–2022) of pigment data from water bodies across the United States (US) to support efforts to develop process-based, machine learning, and remote sensing models for prediction of harmful algal blooms (HABs). To our knowledge, this dataset of nearly 84,000 sites and over 1,374,000 pigment measurements is the largest compilation of harmonized discrete, laboratory-extracted chlorophyll data for the US. These data were compiled from the Water Quality Portal (WQP) and previously unpublished U.S. Geological Survey’s National Water Quality Laboratory (NWQL) data. Data were harmonized for reporting units, pigment type, duplicate values, collection depth, site name, negative values, and some extreme values. Across the country, data show great variation by state in sampling frequency, distribution, and methods. Uses for such data include the calibration of models, calibration of field sensors, examination of relationship to nutrients and other drivers, evaluation of temporal trends, and other applications addressing local to national scale concerns.
Earthquake Science Center
U.S. Geological Survey
345 Middlefield Road
Mail Stop 977
Menlo Park, CA 94025
Offshore of the Pacific Northwest of the United States is the Cascadia Subduction Zone, a 1,000-kilometer-long tectonic boundary defined by a large fault, called a megathrust, that extends from the Mendocino Junction off northern California to the Nootka Fracture Zone off Vancouver Island, Canada (U.S. Geological Survey, 2023). The Juan de Fuca and Gorda oceanic plates to the west of this boundary subduct under the North America continental plate to the east. Several other smaller faults that cut through the North America plate crust also affect the region. Although their effects upon Ozette Lake are uncertain, geological evidence for past earthquakes, such as underwater landslides, may be found in Pacific Northwest lakes.
Underwater landslides caused by past earthquakes should be well preserved in these relatively undisturbed lake environments. The floor of Ozette Lake, Washington, located along the Pacific coast of the United States, west of the Puget Sound region and about 140 kilometers east of the megathrust was mapped by the U.S. Geological Survey in July of 2019 to search for evidence of past earthquakes. Mapping was completed using a SWATHplus-M 234-kHz interferometric side scan sonar system pole-mounted on the U.S. Geological Survey research vessel San Lorenzo. The system collected full-coverage bathymetric and acoustic backscatter data that were processed to 2-meter spatial resolution (Dartnell and others, 2024). This two-map series displays the results of this mapping. A colored shaded relief bathymetry map (sheet 1) and an acoustic backscatter map (sheet 2) show the lake floor morphology and backscatter intensities, respectively, that can be analyzed for evidence of past earthquakes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3517","usgsCitation":"Dartnell, P., Brothers, D., Ritchie, A.C., Sherrod, B., Currie, J.E., Dal Ferro, P., and Powers, D.C., 2024, Colored shaded relief bathymetry and acoustic backscatter of Ozette Lake, Washington: U.S. Geological Survey Scientific Investigations Map 3517, 2 sheets, scale 1:18,000, https://doi.org/10.3133/sim3517.","productDescription":"2 Sheets: 27.81 × 37.40 inches; Data Release","onlineOnly":"Y","ipdsId":"IP-155366","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":429905,"rank":1,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3517/sim3517_sheet1.pdf","text":"Sheet 1","size":"45 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Colored shaded relief bathymetry map"},{"id":429906,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3517/sim3517_sheet2.pdf","text":"Sheet 2","size":"50 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Acoustic backscatter map"},{"id":429912,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3517/covrthb.jpg"},{"id":499286,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117068.htm","linkFileType":{"id":5,"text":"html"}},{"id":429913,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9U91FSB","text":"USGS Data Release","description":"Dartnell, P., Brothers, D.S., Ritchie, A.C.,Sherrod, B., Currie, J.E., Dal Ferro, P., Powers, D.C., 2024, Bathymetry and acoustic-backscatter data for Ozette Lake, Washington collected during USGS field activity 2019-622-FA: U.S. Geological Survey data release, https://doi.org/10.5066/P9U91FSB.","linkHelpText":"Bathymetry and acoustic-backscatter data for Ozette Lake, Washington collected during USGS field activity 2019-622-FA"}],"country":"United States","state":"Washington","otherGeospatial":"Ozette Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.7303438621736,\n 48.18265809125998\n ],\n [\n -124.7303438621736,\n 48.025264988649184\n ],\n [\n -124.54883551443689,\n 48.025264988649184\n ],\n [\n -124.54883551443689,\n 48.18265809125998\n ],\n [\n -124.7303438621736,\n 48.18265809125998\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Pacific Coastal and Marine Science Center
U.S. Geological Survey
2885 Mission St.
Santa Cruz, CA 95060
Letterkenny Army Depot in Chambersburg, Pennsylvania, built an Ammonium Perchlorate Rocket Motor Destruction (ARMD) Facility in 2016 to centralize rocket motor destruction and contain all waste during the destruction process. The U.S. Geological Survey has collected environmental samples from groundwater, surface water, and soils at ARMD since 2016.
During 2021, samples were collected from four groundwater wells in September, one surface-water site in October, and five soil sites in November near the facility. Samples were analyzed for nutrients, trace metals, major ions, total volatile organic compounds, and perchlorate. Perchlorate was not detected in any 2021 samples.
Groundwater results showed no constituents exceeded any U.S. Environmental Protection Agency (EPA) maximum contaminant level (MCL). Dissolved arsenic (As) was detected in one well above the reporting detection level (RDL) of 3 micrograms per liter (μg/L) at 5.4 μg/L but below its MCL of 10 μg/L. Dissolved iron (Fe) was the only inorganic constituent measured above an EPA secondary maximum contaminant level (SMCL). All groundwater samples collected in 2021 exceeded the Fe SMCL of 300 μg/L, with concentrations ranging from 390 μg/L to 3,500 μg/L.
Surface-water data collected during 2021 showed no measured constituents in the surface-water sample that exceeded any EPA MCL or SMCL.
Soil samples collected from 2016 through 2021 showed all concentrations of As exceeded the EPA soil screening levels of 3 milligrams per kilogram (mg/kg) but did not exceed the Pennsylvania medium-specific concentrations for As of 61 mg/kg. Arsenic concentrations in 2021 ranged from 9.1 mg/kg to 12.9 mg/kg.
The 2021 results for the ARMD Facility indicate no increases in concentrations of reported compounds compared to data from 2016 to 2020. The contained burn treatment facility for demilitarization of rocket motors during 2021 appears to have operated without elevating concentrations of target compounds compared to previous years.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241031","collaboration":"Prepared in Cooperation with the Letterkenny Army Depot","usgsCitation":"Galeone, D.G., and Donmoyer, S.J., 2024, Environmental monitoring of groundwater, surface water, and soil at the Ammonium Perchlorate Rocket Motor Destruction Facility at the Letterkenny Army Depot, Chambersburg, Pennsylvania, 2021: U.S. Geological Survey Open-File Report 2024–1031, 31 p., https://doi.org/10.3133/ofr20241031","productDescription":"Report: vii, 31 p.; Data Release","numberOfPages":"31","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-148346","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":499252,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117074.htm","linkFileType":{"id":5,"text":"html"}},{"id":429681,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1031/ofr20241031.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2024-1031 XML"},{"id":429679,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P92YIATZ","text":"USGS data release","linkHelpText":"Groundwater, surface water, and soil data collected near and at the Ammonium Perchlorate Rocket Motor Destruction (ARMD) facility at the Letterkenny Army Depot, Chambersburg, Pennsylvania"},{"id":429680,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1031/images/"},{"id":429677,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1031/ofr20241031.pdf","text":"Report","size":"2.38 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1031 PDF"},{"id":429678,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241031/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1031 HTML"},{"id":429676,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1031/coverthb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Letterkenny Army Depot","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.7937803364734,\n 40.07953712912567\n ],\n [\n -77.7937803364734,\n 39.95565132046923\n ],\n [\n -77.61334530644311,\n 39.95565132046923\n ],\n [\n -77.61334530644311,\n 40.07953712912567\n ],\n [\n -77.7937803364734,\n 40.07953712912567\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070
This study was completed to provide timely scientific information regarding greater sage-grouse population trends, habitat selection, and the efficacy of previous conservation actions implemented to benefit the Bi-State Distinct Population Segment (DPS). Specifically, we provide these analyses to inform the current (2024) status review and pending listing decision for the DPS being undertaken by the U.S. Fish and Wildlife Service. These findings provide updated, detailed, and comprehensive information regarding the status of a geographically isolated and genetically distinct population of a species of high conservation concern and their habitat. Importantly, this report also provides information on the efficacy of previously implemented conservation actions targeting the Bi-State DPS in a framework that is transferable throughout the species’ range.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241030","collaboration":"Prepared in cooperation with the Nevada Department of Wildlife, California Department of Fish and Wildlife, U.S. Fish and Wildlife Service, Bureau of Land Management, Great Basin Bird Observatory, and U.S. Forest Service","programNote":"Ecosystems Mission Areas—Species Management Research Program","usgsCitation":"Coates, P.S., Milligan, M.C., Prochazka, B.G., Brussee, B.E., O’Neil, S.T., Lundblad, C.G., Webster, S.C., Weise, C.L., Mathews, S.R., Chenaille, M.P., Aldridge, C.L., O’Donnell, M.S., Espinosa, S.P., Sturgill, A.C., Doherty, K.E., Tull, J.C., Miller, K., Wiechman, L.A., Abele, S., Boone, J., Stone, H., and Casazza, M.L., 2024, Status of greater sage-grouse in the Bi-State Distinct Population Segment—An evaluation of population trends, habitat selection, and efficacy of conservation actions: U.S. Geological Survey Open-File Report 2024–1030, 74 p., https://doi.org/10.3133/ofr20241030.","productDescription":"Report: x, 74 p.; 2 Data Releases","numberOfPages":"74","onlineOnly":"Y","ipdsId":"IP-159648","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":429902,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1AATW9D","text":"USGS Data Release","description":"Coates, P.S., Milligan, M.C., Brussee, B.E., O’Neil, S.T., and Chenaille, M.P., 2024, Greater sage-grouse habitat selection, survival, abundance, and space-use in the Bi-State Distinct Population Segment of California and Nevada: U.S. Geological Survey data release, https://doi.org/10.5066/P1AATW9D","linkHelpText":"Greater sage-grouse habitat selection, survival, abundance, and space-use in the Bi-State Distinct Population Segment of California and Nevada"},{"id":429901,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95HTJG8","text":"USGS Data Release","description":"Coates, P.S., Milligan, M.C., Brussee, B.E., O’Neil, S.T., and Chenaille, M.P., 2024, Rasters and tables for selection and survival of greater sage-grouse nests and broods in the Bi-State Distinct Population Segment of California and Nevada: U.S. Geological Survey data release, https://doi.org/10.5066/P95HTJG8.","linkHelpText":"Rasters and tables for selection and survival of greater sage-grouse nests and broods in the Bi-State Distinct Population Segment of California and Nevada"},{"id":429897,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1030/ofr20241030.pdf","text":"Report","size":"9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":429896,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1030/covrthb.jpg"},{"id":429898,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1030/ofr20241030.xml"},{"id":429899,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1030/images"},{"id":429900,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241030/full"}],"country":"United States","state":"California, Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.20887464654662,\n 39.28064195888885\n ],\n [\n -120.20887464654662,\n 36.4538803548043\n ],\n [\n -116.49549574029646,\n 36.4538803548043\n ],\n [\n -116.49549574029646,\n 39.28064195888885\n ],\n [\n -120.20887464654662,\n 39.28064195888885\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
The groundwater below the Red Hill Bulk Fuel Storage Facility (the facility) in Oʻahu, Hawaiʻi, contains fuel compounds from past spills. This study used carbon-14 analyses to distinguish fuel-derived carbon from background carbon, along with other biodegradation indicators, to address two goals: (1) determine the extent and migration direction of groundwater affected by residual fuel below the facility and (2) determine if residual fuel locations in the subsurface could be identified by analyzing soil gas at the surface above the facility.
Groundwater from 19 wells was sampled between September 2022 and April 2023. Nonvolatile dissolved organic carbon (NVDOC) from a well presumed to be unaffected by past spills contained 38 percent ancient carbon indicating a natural source of ancient carbon in the subsurface. The NVDOC concentrations and ancient carbon percentages indicate fuel biodegradation products are likely present on the north and south of Red Hill with the greatest effects at well RHMW02 near the 2014 spill site. The NVDOC concentrations are almost three times higher than diesel range organic (DRO) concentrations in groundwater from the same sites. Major ion data indicate that iron reduction is an important biodegradation process.
Soil probe samples and soil carbon traps were used to determine the carbon-14 content of soil carbon dioxide. Ancient carbon from fuel biodegradation was not detected at any soil probe or carbon trap site in contrast to a 2017 study which reported ancient carbon detections. A reanalysis of the 2017 results using a range of local values for background carbon-14 indicates that ancient carbon from fuel biodegradation was probably only detected in lower tunnel exhaust system samples and not in any soil carbon trap samples. Measurements of carbon dioxide efflux with a dynamic closed chamber were highly variable. The soil gas results indicate that soil gas measurements at land surface were not useful for detecting residual fuel at the facility.
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Large wood (LW) plays important geomorphic and ecological roles in rivers and is widely used as a restoration tool. Changes to floodplain land use and historical removal have altered wood dynamics in fluvial systems globally. We know little about the distribution and dynamics of LW in great rivers (approximately >105 km2) like the Upper Mississippi and Illinois Rivers despite its ecosystem importance and use in restoration projects. We assessed LW occurrence data collected by the fisheries component of the Upper Mississippi River Restoration Program's Long Term Resource Monitoring element. We analysed 25 years of data collected across six reaches of the Upper Mississippi and Illinois Rivers that represented contrasting physiographic settings, and across four aquatic area types comprising gradients of hydrology, connectivity and geomorphology. We tested hypotheses on drivers of LW occurrence using generalised linear mixed effects models, where occurrence was predicted by reach- and local-scale environmental variables. Occurrence varied significantly across reaches and aquatic area types. In general, wood occurred more frequently upriver and in side channels compared to other aquatic areas. Large wood was most strongly predicted systemically by reach identity but not local-scale variables, underscoring the importance of broad-scale physiographic gradients in defining hydrogeomorphic processes. Floodplain forests and shoreline revetment were consistently important predictors across reaches. Our findings show that the spatial variability of LW occurrence reflects the physical variability of the Upper Mississippi and Illinois Rivers. They also reveal the value in using geomorphic classifications as frameworks for understanding physical processes like LW dynamics because of their ability to contextualise site-scale conditions. The baseline understanding of LW abundance across different hydrogeomorphic gradients and scales presented here can give insight into how to more effectively target restoration efforts in great rivers and contribute to a broader understanding of LW dynamics where such studies have been lacking.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.5911","usgsCitation":"Van Appledorn, M., Jankowski, K.J., Gahm, K., Budd, S., Baumann, D., Bennie, B., Erickson, R.A., Haro, R.J., and Rohweder, J.J., 2024, The where and why of large wood occurrence in the Upper Mississippi and Illinois Rivers: Earth Surface Processes and Landforms, v. 49, no. 11, p. 3383-3398, https://doi.org/10.1002/esp.5911.","productDescription":"16 p.","startPage":"3383","endPage":"3398","ipdsId":"IP-156995","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":430017,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Illinois River, Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.73578092131349,\n 45.12080357067936\n ],\n [\n -91.01148319916909,\n 42.06683000374717\n ],\n [\n -92.03223565670272,\n 40.356697147602766\n ],\n [\n -91.38931153946832,\n 38.69309735425202\n ],\n [\n -89.14510076231794,\n 36.650083721260515\n ],\n [\n -88.69332581972627,\n 40.70515855929407\n ],\n [\n -89.58402008394364,\n 41.68908264434286\n ],\n [\n -90.9223085282444,\n 44.553043048533425\n ],\n [\n -93.73578092131349,\n 45.12080357067936\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Appledorn, Molly 0000-0002-8029-0014","orcid":"https://orcid.org/0000-0002-8029-0014","contributorId":205785,"corporation":false,"usgs":true,"family":"Van Appledorn","given":"Molly","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":903500,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jankowski, Kathi Jo 0000-0002-3292-4182","orcid":"https://orcid.org/0000-0002-3292-4182","contributorId":207429,"corporation":false,"usgs":true,"family":"Jankowski","given":"Kathi","email":"","middleInitial":"Jo","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":903501,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gahm, Kaija","contributorId":338731,"corporation":false,"usgs":false,"family":"Gahm","given":"Kaija","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":903502,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Budd, Serenity","contributorId":338732,"corporation":false,"usgs":false,"family":"Budd","given":"Serenity","email":"","affiliations":[{"id":38728,"text":"Virginia Commonwealth University","active":true,"usgs":false}],"preferred":false,"id":903503,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baumann, Douglas","contributorId":328549,"corporation":false,"usgs":false,"family":"Baumann","given":"Douglas","affiliations":[{"id":68293,"text":"University of Wisconsin La Crosse","active":true,"usgs":false}],"preferred":false,"id":903504,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennie, Barbara","contributorId":328550,"corporation":false,"usgs":false,"family":"Bennie","given":"Barbara","affiliations":[{"id":68293,"text":"University of Wisconsin La Crosse","active":true,"usgs":false}],"preferred":false,"id":903505,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"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":903506,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haro, Roger J.","contributorId":139538,"corporation":false,"usgs":false,"family":"Haro","given":"Roger","email":"","middleInitial":"J.","affiliations":[{"id":12793,"text":"University of Wisconsin-La Crosse","active":true,"usgs":false}],"preferred":false,"id":903507,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rohweder, Jason J. 0000-0001-5131-9773 jrohweder@usgs.gov","orcid":"https://orcid.org/0000-0001-5131-9773","contributorId":150539,"corporation":false,"usgs":true,"family":"Rohweder","given":"Jason","email":"jrohweder@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":903508,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70255067,"text":"70255067 - 2024 - Potential hazards of polycyclic aromatic hydrocarbons in Great Lakes tributaries using water column and porewater passive samplers and sediment wquilibrium partitioning","interactions":[],"lastModifiedDate":"2024-07-01T14:50:05.168294","indexId":"70255067","displayToPublicDate":"2024-06-11T10:03:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Potential hazards of polycyclic aromatic hydrocarbons in Great Lakes tributaries using water column and porewater passive samplers and sediment wquilibrium partitioning","docAbstract":"The potential for polycyclic aromatic hydrocarbon (PAH)-related effects in benthic organisms is commonly estimated from organic carbon-normalized sediment concentrations based on equilibrium partitioning (EqP). Although this approach is useful for screening purposes, it may overestimate PAH bioavailability by orders of magnitude in some sediments, leading to inflated exposure estimates and potentially unnecessary remediation costs. Recently, passive samplers have been shown to provide an accurate assessment of the freely dissolved concentrations of PAHs, and thus their bioavailability and possible biological effects, in sediment porewater and overlying surface water. We used polyethylene passive sampling devices (PEDs) to measure freely dissolved porewater and water column PAH concentrations at 55 Great Lakes (USA/Canada) tributary locations. The potential for PAH-related biological effects using PED concentrations were estimated with multiple approaches by applying EqP, water quality guidelines, and pathway-based biological activity based on in vitro bioassay results from ToxCast. Results based on the PED-based exposure estimates were compared with EqP-derived exposure estimates for concurrently collected sediment samples. The results indicate a potential overestimation of bioavailable PAH concentrations by up to 960-fold using the EqP-based method compared with measurements using PEDs. Even so, PED-based exposure estimates indicate a high potential for PAH-related biological effects at 14 locations. Our findings provide an updated, weight-of-evidence–based site prioritization to help guide possible future monitoring and mitigation efforts.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.5896","usgsCitation":"Baldwin, A.K., Corsi, S., Alvarez, D.A., Villeneuve, D.L., Ankley, G., Blackwell, B., Mills, M.A., Lenaker, P.L., and Nott, M.A., 2024, Potential hazards of polycyclic aromatic hydrocarbons in Great Lakes tributaries using water column and porewater passive samplers and sediment wquilibrium partitioning: Environmental Toxicology and Chemistry, v. 43, no. 7, p. 1509-1523, https://doi.org/10.1002/etc.5896.","productDescription":"15 p.","startPage":"1509","endPage":"1523","ipdsId":"IP-150118","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439414,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index 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