A combined point cloud of about 85.6 million points was collected during 27 scans of a section of the western shoreline along the Shinnecock Peninsula of Suffolk County, New York, to document baseline geospatial conditions during July and October 2022 using a scanning total station. The three-dimensional accuracy of the combined point cloud is assessed to identify potential systematic error sources associated with the surveying equipment and the novel methodology used to collect and field-register (data are oriented and aligned in real time) point cloud data. The accuracy of the combined point cloud was assessed in terms of relative and absolute reference frames. Relative accuracy provides a measure of error within the local coordinate system and is determined by combining the uncertainty associated with the position of the scan station (the point being occupied by the scanning total station during the scan), the uncertainty associated with the position of the network control points, and the uncertainty associated with the laser of the scanning total station. Assessment of the absolute accuracy includes these three potential error sources combined with the uncertainty associated with the geodetic coordinates to which the local control network is referenced. The combined overall relative horizontal and vertical accuracy of the point cloud is 0.0156 and 0.0241 meter, respectively, at the 95 percent confidence level. The combined overall absolute horizontal and vertical accuracy of the point cloud is 0.0598 and 0.0733 meter, respectively, at the 95 percent confidence level.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245027","collaboration":"Prepared in cooperation with the Shinnecock Nation and the Federal Emergency Management Agency","usgsCitation":"Noll, M.L., Capurso, W.D., and Chu, A., 2024, Accuracy assessment of three-dimensional point cloud data collected with a scanning total station on Shinnecock Nation Tribal lands in Suffolk County, New York: U.S. Geological Survey Scientific Investigations Report 2024–5027, 23 p., https://doi.org/10.3133/sir20245027.","productDescription":"Report: vii, 23 p.; Data Release","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-153251","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":429787,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5027/sir20245027.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5027 XML"},{"id":429784,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5027/coverthb.jpg"},{"id":429785,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5027/sir20245027.pdf","text":"Report","size":"14.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5027 PDF"},{"id":429786,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245027/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5027 HTML"},{"id":429788,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5027/images/"},{"id":429789,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9OG0AAO","text":"USGS data release","linkHelpText":"Three-dimensional point cloud data collected with a scanning total station on the western shoreline of the Shinnecock Nation Tribal lands, Suffolk County, New York, 2022"},{"id":429861,"rank":7,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2024/5027/images/sir20245027_fig02.png","text":"Figure 2","size":"3.20 MB","linkHelpText":"- Map showing the study area where three-dimensional point cloud data were collected with a scanning total station along the western shoreline of the Shinnecock Peninsula in Suffolk County, New York, for a point cloud accuracy assessment"},{"id":429862,"rank":8,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2024/5027/images/sir20245027_fig03.png","text":"Figure 3","size":"3.25 MB","linkHelpText":"- Map showing estimated position of the shoreline after sea-level rise of about 0.46 meter (m) within the study area on the Shinnecock Nation Tribal lands in Suffolk County, New York, using a conservative model projection for 2050"},{"id":429863,"rank":9,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/sir/2024/5027/images/sir20245027_fig04.png","text":"Figure 4","size":"1.76 MB","linkHelpText":"- Graphical representation of the point cloud of A, the study area in plan view, B, the coastal spit in plan view, and C, the dune adjacent to the Tribal cemetery on the Shinnecock Nation Tribal lands in Suffolk County, New York, in section view in July 2022"},{"id":499455,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117076.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","county":"Suffolk County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -72.67660903513142,\n 41.00419828031659\n ],\n [\n -72.67660903513142,\n 40.789306473711775\n ],\n [\n -72.23164172630058,\n 40.789306473711775\n ],\n [\n -72.23164172630058,\n 41.00419828031659\n ],\n [\n -72.67660903513142,\n 41.00419828031659\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349
The Navajo (N) aquifer is an extensive aquifer and the primary source of groundwater in the 5,400-square-mile Black Mesa area in northeastern Arizona. Water availability is an important issue in the Black Mesa area because of the arid climate, past industrial water use, and continued water requirements for municipal use by a growing population. Precipitation in the area typically ranges from less than 6 to more than 16 inches per year, depending on location.
The U.S. Geological Survey water-monitoring program in the Black Mesa area began in 1971 and provides information about the long-term effects of groundwater withdrawals from the N aquifer for industrial and municipal uses. This report presents the results of data collected as part of the monitoring program in the Black Mesa area from calendar years 2020–2021 and, additionally, uses streamflow statistics from November and December 2019. The monitoring program includes measurements of (1) groundwater withdrawals (pumping), (2) groundwater levels, (3) spring discharge, (4) surface-water discharge, and (5) groundwater chemistry.
In calendar year 2020, total groundwater withdrawals were estimated to be 2,680 acre-feet (acre-ft), and, in 2021, total withdrawals were estimated to be 2,570 acre-ft. Total withdrawals during 2021 were about 65 percent less than total withdrawals in 2005 because the Peabody Western Coal Company discontinued its use of water to transport coal in a coal slurry pipeline after 2005 and ceased mining operations in 2019.
Owing to Navajo Nation and Hopi Reservation access restrictions during the Coronavirus pandemic, water levels were not collected from municipal wells in 2020 or 2021. Water levels measured in 2021 from wells completed in the unconfined areas of the N aquifer within the Black Mesa area showed a decline in 7 of 13 wells when compared with water levels from the prestress period (prior to 1965). The changes in water levels across all 13 wells ranged from +8.4 feet (ft) to −42.4 ft, and the median change was −0.4 ft. Water levels also showed decline in 11 of 12 wells measured in the confined area of the aquifer when compared to the prestress period. The median change for the confined area of the aquifer was −25.9 ft, with changes across all 12 wells ranging from +17.3 ft to −133.7 ft.
Spring flow was measured at four springs between 2020 and 2021. Flow fluctuated during the period of record for Burro Spring and Pasture Canyon Spring, but a decreasing trend was statistically significant (p<0.05) at Moenkopi School Spring and Unnamed Spring near Dennehotso, Arizona. Discharge at Burro Spring has remained relatively constant since it was first measured in the 1980s, and discharge at Pasture Canyon Spring has fluctuated for the period of record.
Continuous records of surface-water discharge in the Black Mesa area were collected from streamflow-gaging stations at the following sites: Moenkopi Wash at Moenkopi 09401260 (1976–2021), Dinnebito Wash near Sand Springs 09401110 (1993–2020), Polacca Wash near Second Mesa 09400568 (1994–2020), and Pasture Canyon Springs 09401265 (2004–2021). Median winter flows (November through February) of each winter were used as an estimate of the amount of groundwater discharge at the above-named sites. For the period of record, the median winter flows have generally remained constant at Polacca Wash and Pasture Canyon Springs, whereas a decreasing trend was observed at Moenkopi Wash and Dinnebito Wash.
In 2020 and 2021, water samples were collected from a total of four springs in the Black Mesa area and analyzed for selected chemical constituents. Results from the four springs were compared with previous analyses from the same springs. Dissolved solids, chloride, and sulfate concentrations increased at Moenkopi School Spring during the more than 30 years of record at that site. Concentrations of dissolved solids and sulfate at Pasture Canyon Spring have not varied significantly (p>0.05) since the early 1980s, and there is no increasing or decreasing trend in those data. However, concentrations of chloride from Pasture Canyon Spring show a diminishing trend. Concentrations of dissolved solids, chloride, and sulfate at Unnamed Spring near Dennehotso have varied for the period of record, but there is no statistical trend in the data. Concentrations of dissolved solids at Burro Spring have varied for the period of record, but there is no statistical trend in the data. However, concentrations of chloride and sulfate from Burro Spring show a trend towards lower concentrations.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241019","collaboration":"Prepared in cooperation with the Navajo Nation and Peabody Western Coal Company","usgsCitation":"Mason, J.P., 2024, Groundwater, surface-water, and water-chemistry data, Black Mesa area, northeastern Arizona—2019–2021: U.S. Geological Survey Open-File Report 2024–1019, 47 p., https://doi.org/10.3133/ofr20241019.","productDescription":"vii, 48 p.","onlineOnly":"Y","ipdsId":"IP-148316","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":430241,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1019/images"},{"id":430240,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1019/ofr20241019.xml"},{"id":430239,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1019/ofr20241019.pdf","text":"Report","size":"10 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":430238,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1019/covrthb.jpg"},{"id":430242,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241019/full"},{"id":499245,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117071.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arizona","otherGeospatial":"Black Mesa Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.50769351138865,\n 36.993810314532595\n ],\n [\n -111.50769351138865,\n 35.29946810356502\n ],\n [\n -109.33240054263857,\n 35.29946810356502\n ],\n [\n -109.33240054263857,\n 36.993810314532595\n ],\n [\n -111.50769351138865,\n 36.993810314532595\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director,
Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719
The Yellowstone Volcano Observatory (YVO) monitors volcanic and hydrothermal activity associated with the Yellowstone magmatic system, carries out research into magmatic processes occurring beneath Yellowstone caldera, and issues timely warnings and guidance related to potential future geologic hazards. YVO is a collaborative consortium that includes the U.S. Geological Survey (USGS), Yellowstone National Park, University of Utah, University of Wyoming, Montana State University, EarthScope Consortium, Wyoming State Geological Survey, Montana Bureau of Mines and Geology, and Idaho Geological Survey. The USGS component of YVO also has the operational responsibility for monitoring volcanic activity in the Intermountain West of the United States, including Arizona, New Mexico, Utah, and Colorado.
Yellowstone Volcano Observatory
U.S. Geological Survey
1300 SE Cardinal Court, Suite 100
Vancouver, WA 98683
Email: yvowebteam@usgs.gov
","tableOfContents":"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.
","language":"English","publisher":"Springer","doi":"10.1007/s10530-024-03351-0","usgsCitation":"O'Uhuru, A., Morelli, T.L., Evans, A.E., Salva, J., and Bradley, B., 2024, Identifying new invasive plants in the face of climate change: A focus on sleeper species: Biological Invasions, v. 26, p. 2989-3001, https://doi.org/10.1007/s10530-024-03351-0.","productDescription":"13 p.","startPage":"2989","endPage":"3001","ipdsId":"IP-159571","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":486085,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","noUsgsAuthors":false,"publicationDate":"2024-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"O'Uhuru, A.C.","contributorId":355408,"corporation":false,"usgs":false,"family":"O'Uhuru","given":"A.C.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":937244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":937245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evans, Annette E. 0000-0001-6439-4908","orcid":"https://orcid.org/0000-0001-6439-4908","contributorId":328976,"corporation":false,"usgs":false,"family":"Evans","given":"Annette","email":"","middleInitial":"E.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":937246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salva, J.D.","contributorId":355409,"corporation":false,"usgs":false,"family":"Salva","given":"J.D.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":937247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bradley, B.A.","contributorId":355410,"corporation":false,"usgs":false,"family":"Bradley","given":"B.A.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":937248,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70256593,"text":"70256593 - 2024 - Designing count-based studies in a world of hierarchical models","interactions":[],"lastModifiedDate":"2024-08-23T15:45:06.312749","indexId":"70256593","displayToPublicDate":"2024-06-14T10:36:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Designing count-based studies in a world of hierarchical models","docAbstract":"Advances in hierarchical modeling have improved estimation of ecological parameters from count data, especially those quantifying population abundance, distribution, and dynamics by explicitly accounting for observation processes, particularly incomplete detection. Even hierarchical models that account for incomplete detection, however, cannot compensate for data limitations stemming from poorly planned sampling. Ecologists therefore need guidance for planning count-based studies that follow established sampling theory, collect appropriate data, and apply current modeling approaches to answer their research questions. We synthesize available literature relevant to guiding count-based studies. Considering the central historical and ongoing contributions of avian studies to ecological knowledge, we focus on birds as a case study for this review, but the basic principles apply to all populations whose members are sufficiently observable to be counted. The sequence of our review represents the thought process in which we encourage ecologists to engage 1) the research question(s) and population parameters to measure, 2) sampling design, 3) analytical framework, 4) temporal design, and 5) survey protocol. We also provide 2 hypothetical demonstrations of these study plan components representing different research questions and study systems. Mirroring the structure of hierarchical models, we suggest researchers primarily focus on the ecological processes of interest when designing their approach to sampling, and wait to consider logistical constraints of data collection and observation processes when developing the survey protocol. We offer a broad framework for researchers planning count-based studies, while pointing to relevant literature elaborating on particular tools and concepts.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22622","usgsCitation":"Latif, Q., Valente, J., Johnston, A., Davis, K., Fogarty, F., Green, A.W., Jones, G.M., Leu, M., Michel, N.L., Pavlacky, D.C., Rigby, E., Rushing, C.S., Sanderlin, J., Tingley, M.W., and Zhao, Q., 2024, Designing count-based studies in a world of hierarchical models: Journal of Wildlife Management, v. 88, no. 7, e22622, 31 p., https://doi.org/10.1002/jwmg.22622.","productDescription":"e22622, 31 p.","ipdsId":"IP-153768","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439401,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/content/qt7h5896rk/qt7h5896rk.pdf","text":"External Repository"},{"id":433103,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"88","issue":"7","noUsgsAuthors":false,"publicationDate":"2024-06-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Latif, Quresh S.","contributorId":341286,"corporation":false,"usgs":false,"family":"Latif","given":"Quresh S.","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":908189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valente, Jonathon Joseph 0000-0002-6519-3523","orcid":"https://orcid.org/0000-0002-6519-3523","contributorId":340615,"corporation":false,"usgs":true,"family":"Valente","given":"Jonathon Joseph","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnston, Alison","contributorId":341287,"corporation":false,"usgs":false,"family":"Johnston","given":"Alison","email":"","affiliations":[{"id":65006,"text":"University of St Andrews","active":true,"usgs":false}],"preferred":false,"id":908191,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Kayla L.","contributorId":341288,"corporation":false,"usgs":false,"family":"Davis","given":"Kayla L.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":908192,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fogarty, Frank A.","contributorId":341289,"corporation":false,"usgs":false,"family":"Fogarty","given":"Frank A.","affiliations":[{"id":37071,"text":"California State Polytechnic University","active":true,"usgs":false}],"preferred":false,"id":908193,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Green, Adam W.","contributorId":341290,"corporation":false,"usgs":false,"family":"Green","given":"Adam","email":"","middleInitial":"W.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":908194,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Gavin M.","contributorId":341291,"corporation":false,"usgs":false,"family":"Jones","given":"Gavin","email":"","middleInitial":"M.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":908195,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Leu, Matthias","contributorId":341292,"corporation":false,"usgs":false,"family":"Leu","given":"Matthias","affiliations":[{"id":57314,"text":"William & Mary","active":true,"usgs":false}],"preferred":false,"id":908196,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Michel, Nicole L.","contributorId":341293,"corporation":false,"usgs":false,"family":"Michel","given":"Nicole","email":"","middleInitial":"L.","affiliations":[{"id":27800,"text":"National Audubon Society","active":true,"usgs":false}],"preferred":false,"id":908197,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pavlacky, David C. Jr.","contributorId":341294,"corporation":false,"usgs":false,"family":"Pavlacky","given":"David","suffix":"Jr.","email":"","middleInitial":"C.","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":908198,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rigby, Elizabeth A.","contributorId":341295,"corporation":false,"usgs":false,"family":"Rigby","given":"Elizabeth A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":908199,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rushing, Clark S.","contributorId":341296,"corporation":false,"usgs":false,"family":"Rushing","given":"Clark","email":"","middleInitial":"S.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":908200,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sanderlin, Jamie S.","contributorId":341297,"corporation":false,"usgs":false,"family":"Sanderlin","given":"Jamie S.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":908201,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Tingley, Morgan W.","contributorId":341298,"corporation":false,"usgs":false,"family":"Tingley","given":"Morgan","email":"","middleInitial":"W.","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":908202,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Zhao, Qing","contributorId":341299,"corporation":false,"usgs":false,"family":"Zhao","given":"Qing","affiliations":[{"id":25644,"text":"Bird Conservancy of the Rockies","active":true,"usgs":false}],"preferred":false,"id":908203,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70255545,"text":"70255545 - 2024 - National Aquatic Environmental DNA Strategy","interactions":[],"lastModifiedDate":"2025-04-17T18:35:02.863306","indexId":"70255545","displayToPublicDate":"2024-06-14T07:03:21","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"National Aquatic Environmental DNA Strategy","docAbstract":"Aquatic life is the engine of ecosystems and economies. 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. With one of the largest Exclusive Economic Zones in the world and extensive estuaries, lakes, rivers and streams, it is a grand challenge for the United States to explore, monitor, and understand aquatic life.","language":"English","publisher":"White House Office of Science, Technology, and Policy (OSTP)","collaboration":"National Science Foundation, National Oceanic and Atmospheric Administration, University Corporation for Atmospheric Research, Smithsonian National Museum of Natural History, Office of Naval Research, United States Fish and Wildlife Service, National Institutes of Health, United States National Library of Medicine, Environmental Protection Agency, United States Army Corp of Engineers, United States Forest Service","usgsCitation":"Goodwin, K.D., Weise, M., Meyer, C., Edmondson, M., Fillingham, K., Allen, D., Amerson, A., Barton, M.L., Benson, A., Canonico, G., Gold, Z., Gumm, J., Hunter, M., Joffe, N., Lance, R., Larkin, A., Letelier, R., Lipsky, C., McCoskey, D., Morrison, C., Clark, K., Darling, J.A., Demery, A., Everett, M., Fletcher-Hoppe, C., Nichols, K.M., Parsons, K.M., Price, J., Puglise, K., Scholl, K., Schwartz, M.K., Sepulveda, A., Shannon, J., Turner, W., and White, T., 2024, National Aquatic Environmental DNA Strategy, viii, 20 p.","productDescription":"viii, 20 p.","ipdsId":"IP-164590","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":430423,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":430416,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://bidenwhitehouse.archives.gov/wp-content/uploads/2024/06/NSTC_National-Aquatic-eDNA-Strategy.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Fillingham, 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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
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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
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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":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","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.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0303037","usgsCitation":"Piel III, R., Veneziano, S., Nicholson, E., Walsh, D.P., Lomax, A., Nichols, T., Seabury, C., and Schneider, D., 2024, Validation of a real-time quaking-induced conversion (RT-QuIC) assay protocol to detect chronic wasting disease using rectal mucosa of naturally infected, pre-clinical white-tailed deer (Odocoileus virginianus): PLoS ONE, v. 19, no. 6, e0303037, 18 p., https://doi.org/10.1371/journal.pone.0303037.","productDescription":"e0303037, 18 p.","ipdsId":"IP-160665","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490139,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0303037","text":"Publisher Index Page"},{"id":486236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n 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Susan E.","contributorId":355627,"corporation":false,"usgs":false,"family":"Veneziano","given":"Susan E.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":937800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicholson, Eric M.","contributorId":355628,"corporation":false,"usgs":false,"family":"Nicholson","given":"Eric M.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":937801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":937802,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lomax, Aaron D.","contributorId":355629,"corporation":false,"usgs":false,"family":"Lomax","given":"Aaron D.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":937803,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nichols, Tracy A.","contributorId":355630,"corporation":false,"usgs":false,"family":"Nichols","given":"Tracy A.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":937804,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seabury, Christopher M.","contributorId":355631,"corporation":false,"usgs":false,"family":"Seabury","given":"Christopher M.","affiliations":[{"id":6747,"text":"Texas A&M 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":70255032,"text":"70255032 - 2024 - Management challenge: The RAD Framework to address ecological transformation","interactions":[],"lastModifiedDate":"2026-03-27T18:22:41.584417","indexId":"70255032","displayToPublicDate":"2024-06-12T13:18:09","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Management challenge: The RAD Framework to address ecological transformation","docAbstract":"No abstract available.
","language":"English","publisher":"North Central Climate Adaptation Science Center","doi":"10.5281/zenodo.12207497","usgsCitation":"Fisher, K., Post, A.K., Hobart, B.K., Ilangakoon, N.T., Jenson, C., Maiya, A., Moss, W.E., and Nagy, R.C., 2024, Management challenge: The RAD Framework to address ecological transformation, 2 p., https://doi.org/10.5281/zenodo.12207497.","productDescription":"2 p.","ipdsId":"IP-166483","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":501739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fisher, Kelly","contributorId":338327,"corporation":false,"usgs":false,"family":"Fisher","given":"Kelly","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":903178,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Post, Alison K.","contributorId":187582,"corporation":false,"usgs":false,"family":"Post","given":"Alison","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":903179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hobart, Brendan K.","contributorId":338335,"corporation":false,"usgs":false,"family":"Hobart","given":"Brendan","middleInitial":"K.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":903183,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ilangakoon, Nayani T","contributorId":298253,"corporation":false,"usgs":false,"family":"Ilangakoon","given":"Nayani","email":"","middleInitial":"T","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":903184,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenson, Casey","contributorId":338337,"corporation":false,"usgs":false,"family":"Jenson","given":"Casey","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":903185,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Maiya, Anirudh","contributorId":338329,"corporation":false,"usgs":false,"family":"Maiya","given":"Anirudh","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":903180,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Moss, Wynne Emily 0000-0002-2813-1710","orcid":"https://orcid.org/0000-0002-2813-1710","contributorId":338331,"corporation":false,"usgs":true,"family":"Moss","given":"Wynne","email":"","middleInitial":"Emily","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":903181,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Nagy, R. C.","contributorId":338333,"corporation":false,"usgs":false,"family":"Nagy","given":"R.","middleInitial":"C.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":903182,"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 Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1024","displayTitle":"Neotropical Migratory Bird Monitoring Study at Marine Corps Base Camp Pendleton, California—2021 Annual Data Summary","title":"Neotropical migratory bird monitoring study at Marine Corps Base Camp Pendleton, California—2021 annual data summary","docAbstract":"Two Monitoring Avian Productivity and Survivorship (MAPS) stations were operated at Marine Corps Base Camp Pendleton (MCBCP), California, in 2021: one at De Luz Creek and one at the Santa Margarita River. 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
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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 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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":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"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