{"pageNumber":"173","pageRowStart":"4300","pageSize":"25","recordCount":165227,"records":[{"id":70252666,"text":"70252666 - 2024 - A Robot Operating System (ROS) package for mapping flow fields in rivers via Particle Image Velocimetry (PIV)","interactions":[],"lastModifiedDate":"2024-04-03T13:47:52.663272","indexId":"70252666","displayToPublicDate":"2024-04-01T08:45:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17446,"text":"Software X","active":true,"publicationSubtype":{"id":10}},"title":"A Robot Operating System (ROS) package for mapping flow fields in rivers via Particle Image Velocimetry (PIV)","docAbstract":"

Non-contact, remote sensing approaches to measuring flow velocities in river channels are widely used, but typical workflows involve acquiring images in the field and then processing data later in the office. To reduce latency between acquisition and output, with the ultimate goal of enabling real-time image velocimetry, we developed a Robot Operating System (ROS) package for Particle Image Velocimetry (PIV) that can be deployed on an embedded computer aboard an uncrewed aircraft system (UAS). The ROSPIV package consists of a series of nodes that can be run in parallel and comprise an end-to-end PIV workflow. Software development involved converting MATLAB code to C++, organizing files within a catkin workspace, and building nodes using catkin_make. The codebase is available via a repository that includes a user’s guide and demo script. This paper describes the nodes in the ROSPIV package as well as functions for preparing inputs, facilitating code generation, and visualizing PIV output. To illustrate the application of the software, we present two examples, one based on a simulated image sequence and the other based on data acquired from a UAS. For the simulated data, the velocity field derived via the ROSPIV package closely matched the known flow field used to generate the image sequence. Using real data as input demonstrated the ability of the ROSPIV package to ingest and pre-process raw images. Our initial results suggest that the ROSPIV package could become a viable approach for mapping river surface velocities in real time.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.softx.2024.101711","usgsCitation":"Legleiter, C.J., and Dille, M., 2024, A Robot Operating System (ROS) package for mapping flow fields in rivers via Particle Image Velocimetry (PIV): Software X, v. 26, 101711, 7 p., https://doi.org/10.1016/j.softx.2024.101711.","productDescription":"101711, 7 p.","ipdsId":"IP-157370","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":439989,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.softx.2024.101711","text":"Publisher Index Page"},{"id":435001,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96BQQQ6","text":"USGS data release","linkHelpText":"Remotely sensed data from a reach of the Sacramento River near Glenn, California, used to perform Particle Image Velocimetry (PIV) within the Robot Operating System (ROS)"},{"id":427352,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":897859,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dille, Michael","contributorId":331596,"corporation":false,"usgs":false,"family":"Dille","given":"Michael","email":"","affiliations":[{"id":79249,"text":"NASA Ames Research Center Intelligent Robotics Group","active":true,"usgs":false}],"preferred":false,"id":897860,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70255026,"text":"70255026 - 2024 - Estimating migration timing and abundance in partial migratory systems by integrating continuous antenna detections with physical captures","interactions":[],"lastModifiedDate":"2024-07-15T15:13:06.675879","indexId":"70255026","displayToPublicDate":"2024-04-01T08:31:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Estimating migration timing and abundance in partial migratory systems by integrating continuous antenna detections with physical captures","docAbstract":"
  1. Many populations migrate between two different habitats (e.g. wintering/foraging to breeding area, mainstem–tributary, river–lake, river–ocean, river–side channel) as part of their life history. Detection technologies, such as passive integrated transponder (PIT) antennas or sonic receivers, can be placed at boundaries between habitats (e.g. near the confluence of rivers) to detect migratory movements of marked animals. Often, these detection systems have high detection probabilities and detect many individuals but are limited in their ability to make inferences about abundance because only marked individuals can be detected.
  2. Here, we introduce a mark–recapture modelling approach that uses detections from a double-array PIT antenna system to imply movement directionality from arrays and estimate migration timing. Additionally, when combined with physical captures, the model can be used to estimate abundances for both migratory and non-migratory groups and help quantify partial migration. We first test our approach using simulation, and results indicate our approach displayed negligible bias for total abundance (less than ±1%) and slight biases for state-specific abundance estimates (±1%–6%).
  3. We fit our model to array detections and physical captures of three native fishes (humpback chub [Gila cypha], flannelmouth sucker [Catostomus latipinnis] and bluehead sucker [Catostomus discobolus]) in the Little Colorado River (LCR) in Grand Canyon, AZ, a system that exhibits partial migration (i.e. includes residents and migrants). Abundance estimates from our model confirm that, for all three species, migratory individuals are much more numerous than residents.
  4. There was little difference in movement timing between 2021 (a year without preceding winter/spring floods) and 2022 (a year with a small flood occurring in early April). In both years, flannelmouth sucker arrived in mid-March whereas humpback chub and bluehead sucker arrivals occurred early- to mid-April. With humpback chub and flannelmouth sucker, movement timing was influenced by body size so that large individuals were more likely to arrive early compared to smaller individuals.
  5. With more years of data, this model framework could be used to evaluate ecological questions pertaining to flow cues and movement timing or intensity, relative trends in migrants versus residents and ecological drivers of skipped spawning.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.14076","usgsCitation":"Dzul, M.C., Kendall, W.L., Yackulic, C., Van Haverbeke, D., Mackinnon, P., Young, K., Pillow, M., and Thomas, J.E., 2024, Estimating migration timing and abundance in partial migratory systems by integrating continuous antenna detections with physical captures: Journal of Animal Ecology, v. 93, no. 7, p. 796-811, https://doi.org/10.1111/1365-2656.14076.","productDescription":"16 p., Data Release","startPage":"796","endPage":"811","ipdsId":"IP-155709","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":435002,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1GVJQDG","text":"USGS data release","linkHelpText":"ArrayAbundance: An R package to explore and model detection data from antenna arrays"},{"id":429865,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dzul, Maria C. 0000-0002-4798-5930 mdzul@usgs.gov","orcid":"https://orcid.org/0000-0002-4798-5930","contributorId":5469,"corporation":false,"usgs":true,"family":"Dzul","given":"Maria","email":"mdzul@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":903121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":903123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Haverbeke, D.R.","contributorId":338314,"corporation":false,"usgs":false,"family":"Van Haverbeke","given":"D.R.","email":"","affiliations":[{"id":81114,"text":"U.S. Fish and Wildlife Service Arizona Fish and Wildlife Conservation Office 2500 E Pine Knoll Dr. Flagstaff, AZ, 86001, USA","active":true,"usgs":false}],"preferred":false,"id":903124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mackinnon, P.","contributorId":338315,"corporation":false,"usgs":false,"family":"Mackinnon","given":"P.","email":"","affiliations":[{"id":81116,"text":"Utah State University Department of Watershed Sciences 5210 Old Main Hill Logan, UT, 94322, USA","active":true,"usgs":false}],"preferred":false,"id":903125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Young, K.","contributorId":338316,"corporation":false,"usgs":false,"family":"Young","given":"K.","affiliations":[{"id":81114,"text":"U.S. Fish and Wildlife Service Arizona Fish and Wildlife Conservation Office 2500 E Pine Knoll Dr. Flagstaff, AZ, 86001, USA","active":true,"usgs":false}],"preferred":false,"id":903126,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pillow, M.","contributorId":338317,"corporation":false,"usgs":false,"family":"Pillow","given":"M.","affiliations":[{"id":81114,"text":"U.S. Fish and Wildlife Service Arizona Fish and Wildlife Conservation Office 2500 E Pine Knoll Dr. Flagstaff, AZ, 86001, USA","active":true,"usgs":false}],"preferred":false,"id":903127,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thomas, Joseph E 0000-0003-1222-7061","orcid":"https://orcid.org/0000-0003-1222-7061","contributorId":333659,"corporation":false,"usgs":true,"family":"Thomas","given":"Joseph","email":"","middleInitial":"E","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":903128,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70252170,"text":"ofr20241003 - 2024 - Triangle Area Water Supply Monitoring Project, North Carolina—Overview of hydrologic and water-quality monitoring activities and data quality assurance","interactions":[],"lastModifiedDate":"2026-01-28T17:58:37.314167","indexId":"ofr20241003","displayToPublicDate":"2024-04-01T07:52:18","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":"2024-1003","displayTitle":"Triangle Area Water Supply Monitoring Project, North Carolina—Overview of Hydrologic and Water-Quality Monitoring Activities and Data Quality Assurance","title":"Triangle Area Water Supply Monitoring Project, North Carolina—Overview of hydrologic and water-quality monitoring activities and data quality assurance","docAbstract":"

Surface-water supplies are important sources of drinking water for residents in the Triangle area of North Carolina, which is located within the upper Cape Fear and Neuse River Basins. Since 1988, the U.S. Geological Survey and a consortium of local governments have participated in a cooperative effort, known as the Triangle Area Water Supply Monitoring Project, to track water-quality and quantity conditions in several of the area’s water-supply reservoirs and streams. This report summarizes the hydrologic and water-quality monitoring activities through this cooperative effort, including an overview of previous and current data collection and quality-assurance and quality-control activities.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241003","issn":"2331-1258","collaboration":"Prepared in cooperation with the Triangle Area Water Supply Monitoring Project Steering Committee","usgsCitation":"Diaz, J.C., and Fanelli, R.M., 2024, Triangle Area Water Supply Monitoring Project, North Carolina—Overview of hydrologic and water-quality monitoring activities and data quality assurance: U.S. Geological Survey Open-File Report 2024–1003, 8 p., https://doi.org/10.3133/ofr20241003.","productDescription":"Report: vi, 8 p.; Data Release","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-140656","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":499203,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116211.htm","linkFileType":{"id":5,"text":"html"}},{"id":426743,"rank":1,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1003/images"},{"id":426744,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1003/coverthb.jpg"},{"id":426745,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1003/ofr20241003.pdf","size":"1.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1003"},{"id":426747,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1003/ofr20241003.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2024-1003 XML"},{"id":426746,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241003/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1003 HTML"},{"id":426748,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MU5BAZ","text":"USGS Data Release","linkHelpText":"Associated data for the Triangle Area Water Supply Monitoring Project, North Carolina, October 2019–September 2022"}],"country":"United States","state":"North Carolina","otherGeospatial":"Triangle area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.65,\n 36.25\n ],\n [\n -79.375,\n 36.25\n ],\n [\n -79.375,\n 35.5\n ],\n [\n -78.65,\n 35.5\n ],\n [\n -78.65,\n 36.25\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, South Atlantic Water Science Center
U.S. Geological Survey 
1770 Corporate Drive, Suite 500
Norcross, GA 30093 

Contact Pubs Warehouse
","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-04-01","noUsgsAuthors":false,"publicationDate":"2024-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Diaz, J.C. 0000-0002-0563-8586","orcid":"https://orcid.org/0000-0002-0563-8586","contributorId":334892,"corporation":false,"usgs":true,"family":"Diaz","given":"J.C.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fanelli, Rosemary Margaret 0000-0002-0874-1925","orcid":"https://orcid.org/0000-0002-0874-1925","contributorId":334893,"corporation":false,"usgs":true,"family":"Fanelli","given":"Rosemary","email":"","middleInitial":"Margaret","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896830,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70252375,"text":"sir20245001 - 2024 - Phytoplankton, taste-and-odor compounds, and cyanotoxin occurrence in four water-supply reservoirs in the Triangle area of North Carolina, April–October 2014","interactions":[],"lastModifiedDate":"2026-01-30T20:04:06.904697","indexId":"sir20245001","displayToPublicDate":"2024-04-01T07:50:53","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5001","displayTitle":"Phytoplankton, Taste-and-Odor Compounds, and Cyanotoxin Occurrence in Four Water-Supply Reservoirs in the Triangle Area of North Carolina, April–October 2014","title":"Phytoplankton, taste-and-odor compounds, and cyanotoxin occurrence in four water-supply reservoirs in the Triangle area of North Carolina, April–October 2014","docAbstract":"

Prior to 2014, local utilities and State agencies monitored for cyanotoxins and taste-and-odor (T&O) compounds and reported occasional detections in three water-supply reservoirs in Wake County, North Carolina. Comparable data for cyanotoxins and T&O compounds were lacking for other water-supply reservoirs in the Triangle area of North Carolina. This report assesses whether cyanotoxins and T&O compounds occurred in four previously unmonitored North Carolina Triangle area water-supply reservoirs at levels that exceed existing North Carolina and U.S. Environmental Protection Agency recreational and drinking water health advisory, guidance, and criterion levels based on data collected during the peak phytoplankton growth period in 2014. Samples were collected from five sites across the study reservoirs (Cane Creek Reservoir, West Fork Eno River Reservoir, B. Everett Jordan Lake, and University Lake) between April and October 2014 and analyzed for physical characteristics, chemical constituents, phytoplankton communities, cyanotoxins, and T&O compounds.

Lake stratification during the sampling period in 2014 could indicate that the deep zones of the water column, during stratified anoxic conditions, may serve as possible sources of nutrients and metals for algal growth and other biogeochemical processes. Differences in phytoplankton communities were attributed to variability in environmental conditions across the sites and sampling events. Differences generally were greater among sites than among sampling events for phytoplankton communities and environmental conditions.

Phytoplankton community assemblages, within reservoirs, often were dominated by cyanobacteria that contained genera capable of producing T&O compounds and cyanotoxins during summer and fall months. The occurrence and associated biovolumes of potential producers of cyanotoxins and T&O compounds varied across the sites and sampling events. Of 20 samples collected during the study, the T&O compound geosmin and the cyanotoxin microcystin were present in 19 and 18 samples, respectively. While not harmful, the aesthetically displeasing geosmin concentrations periodically exceeded the human detection threshold of 15 nanograms per liter at most sites. The T&O compound 2-methylisoborneol (MIB) was detected in 11 of 20 samples, with concentrations below the human detection threshold of 15 nanograms per liter in all but one sample. The cyanotoxin anatoxin-a was detected in two of the samples. No other cyanotoxins were detected during the study.

In general, results did not indicate the biovolume of any given phytoplankton genera in the study was correlated with increased concentrations of MIB, geosmin, or microcystin. Results from this study indicated that microcystin concentrations in the water-supply reservoirs in the Triangle area were below EPA-recommended recreational level of 8 micrograms per liter, but periodically exceeded the EPA finished-water 10-day health advisory level of 0.3 microgram per liter for bottle-fed infants and preschool-age children. This suggests longer term data collection may be necessary to better understand the magnitude and frequency of cyanotoxin concentrations in these four water-supply reservoirs, particularly those with an elevated risk of exceeding the EPA 10-day health advisory levels in the finished drinking water or those with a higher frequency of T&O compound occurrence.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245001","issn":"2328-0328","collaboration":"Prepared in cooperation with the Triangle Area Water Supply Monitoring Project Steering Committee","usgsCitation":"Journey, C.A., McKee, A.M., and Diaz, J.C., 2024, Phytoplankton, taste-and-odor compounds, and cyanotoxin occurrence in four water-supply reservoirs in the Triangle area of North Carolina, April–October 2014: U.S. Geological Survey Scientific Investigations Report 2024–5001, 63 p., https://doi.org/10.3133/sir20245001.","productDescription":"Report: viii, 63 p.; Data Release","numberOfPages":"76","onlineOnly":"Y","ipdsId":"IP-134028","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":499409,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116210.htm","linkFileType":{"id":5,"text":"html"}},{"id":426935,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P947PAQ8","text":"USGS Data Release","linkHelpText":"Associated data for the phytoplankton, taste-and-odor compounds, and cyanotoxin occurrence in drinking water supply reservoirs in the Triangle area of North Carolina"},{"id":426932,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5001/sir20245001.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5001 XML"},{"id":426928,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5001/images"},{"id":426927,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5001/coverthb.jpg"},{"id":428639,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245001/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5001 HTML"},{"id":426931,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5001/sir20245001.pdf","size":"2.44 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5001"}],"country":"United States","state":"North Carolina","otherGeospatial":"Triangle area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.65,\n 36.25\n ],\n [\n -79.375,\n 36.25\n ],\n [\n -79.375,\n 35.5\n ],\n [\n -78.65,\n 35.5\n ],\n [\n -78.65,\n 36.25\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, South Atlantic Water Science Center
U.S. Geological Survey 
1770 Corporate Drive, Suite 500
Norcross, GA 30093 

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-04-01","noUsgsAuthors":false,"publicationDate":"2024-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Journey, Celeste A. 0000-0002-2284-5851","orcid":"https://orcid.org/0000-0002-2284-5851","contributorId":221232,"corporation":false,"usgs":true,"family":"Journey","given":"Celeste A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897239,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKee, Anna M. 0000-0003-2790-5320 amckee@usgs.gov","orcid":"https://orcid.org/0000-0003-2790-5320","contributorId":166725,"corporation":false,"usgs":true,"family":"McKee","given":"Anna","email":"amckee@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Diaz, Jessica C. 0000-0002-0563-8586","orcid":"https://orcid.org/0000-0002-0563-8586","contributorId":335026,"corporation":false,"usgs":true,"family":"Diaz","given":"Jessica","email":"","middleInitial":"C.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897238,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70252917,"text":"70252917 - 2024 - Cross-scale analysis reveals interacting predictors of annual and perennial cover in Northern Great Basin rangelands","interactions":[],"lastModifiedDate":"2024-04-11T12:00:57.982184","indexId":"70252917","displayToPublicDate":"2024-04-01T06:58:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Cross-scale analysis reveals interacting predictors of annual and perennial cover in Northern Great Basin rangelands","docAbstract":"

Exotic annual grass invasion is a widespread threat to the integrity of sagebrush ecosystems in Western North America. Although many predictors of annual grass prevalence and native perennial vegetation have been identified, there remains substantial uncertainty about how regional-scale and local-scale predictors interact to determine vegetation heterogeneity, and how associations between vegetation and cattle grazing vary with environmental context. Here, we conducted a regionally extensive, one-season field survey across burned and unburned, grazed, public lands in Oregon and Idaho, with plots stratified by aspect and distance to water within pastures to capture variation in environmental context and grazing intensity. We analyzed regional-scale and local-scale patterns of annual grass, perennial grass, and shrub cover, and examined to what extent plot-level variation was contingent on pasture-level predictions of site favorability. Annual grasses were widespread at burned and unburned sites alike, contrary to assumptions of annual grasses depending on fire, and more common at lower elevations and higher temperatures regionally, as well as on warmer slopes locally. Pasture-level grazing pressure interacted with temperature such that annual grass cover was associated positively with grazing pressure at higher temperatures but associated negatively with grazing pressure at lower temperatures. This suggests that pasture-level temperature and grazing relationships with annual grass abundance are complex and context dependent, although the causality of this relationship deserves further examination. At the plot-level within pastures, annual grass cover did not vary with grazing metrics, but perennial cover did; perennial grasses, for example, had lower cover closer to water sources, but higher cover at higher dung counts within a pasture, suggesting contrasting interpretations of these two grazing proxies. Importantly for predictions of ecosystem response to temperature change, we found that pasture-level and plot-level favorability interacted: perennial grasses had a higher plot-level cover on cooler slopes, and this difference across topography was starkest in pastures that were less favorable for perennial grasses regionally. Understanding the mechanisms behind cross-scale interactions and contingent responses of vegetation to grazing in these increasingly invaded ecosystems will be critical to land management in a changing world.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.2953","usgsCitation":"Case, M.F., Davies, K.W., Boyd, C.S., Aoyama, L., Merson, J., Penkauskas, C., and Hallett, L.M., 2024, Cross-scale analysis reveals interacting predictors of annual and perennial cover in Northern Great Basin rangelands: Ecological Applications, v. 0, no. 0, e2953, 20 p., https://doi.org/10.1002/eap.2953.","productDescription":"e2953, 20 p.","ipdsId":"IP-148788","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":427696,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.23403911806966,\n 44.47449421228504\n ],\n [\n -122.23403911806966,\n 39.64961915878996\n ],\n [\n -111.11587505556938,\n 39.64961915878996\n ],\n [\n -111.11587505556938,\n 44.47449421228504\n ],\n [\n -122.23403911806966,\n 44.47449421228504\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"0","issue":"0","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Case, Madelon Florence 0000-0003-4830-5324","orcid":"https://orcid.org/0000-0003-4830-5324","contributorId":329634,"corporation":false,"usgs":true,"family":"Case","given":"Madelon","email":"","middleInitial":"Florence","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":898649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davies, Kirk W.","contributorId":255108,"corporation":false,"usgs":false,"family":"Davies","given":"Kirk","email":"","middleInitial":"W.","affiliations":[{"id":51433,"text":"Eastern Oregon Agricultural Research Center, USDA Agricultural Research Service, Burns, OR 97720 USA","active":true,"usgs":false}],"preferred":false,"id":898650,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyd, Chad S.","contributorId":255106,"corporation":false,"usgs":false,"family":"Boyd","given":"Chad","email":"","middleInitial":"S.","affiliations":[{"id":51433,"text":"Eastern Oregon Agricultural Research Center, USDA Agricultural Research Service, Burns, OR 97720 USA","active":true,"usgs":false}],"preferred":false,"id":898651,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aoyama, Lina","contributorId":335542,"corporation":false,"usgs":false,"family":"Aoyama","given":"Lina","email":"","affiliations":[{"id":80428,"text":"Univ. of Oregon","active":true,"usgs":false}],"preferred":false,"id":898652,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Merson, Joanna","contributorId":335543,"corporation":false,"usgs":false,"family":"Merson","given":"Joanna","email":"","affiliations":[{"id":80428,"text":"Univ. of Oregon","active":true,"usgs":false}],"preferred":false,"id":898653,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Penkauskas, Calvin","contributorId":335544,"corporation":false,"usgs":false,"family":"Penkauskas","given":"Calvin","email":"","affiliations":[{"id":80428,"text":"Univ. of Oregon","active":true,"usgs":false}],"preferred":false,"id":898654,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hallett, Lauren M.","contributorId":175310,"corporation":false,"usgs":false,"family":"Hallett","given":"Lauren","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":898655,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70253101,"text":"70253101 - 2024 - Design and calibration of a nitrate decision support tool for groundwater wells in Wisconsin, USA","interactions":[],"lastModifiedDate":"2024-04-19T11:58:52.103849","indexId":"70253101","displayToPublicDate":"2024-04-01T06:55:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17463,"text":"Environmental Modeling and Software,","active":true,"publicationSubtype":{"id":10}},"title":"Design and calibration of a nitrate decision support tool for groundwater wells in Wisconsin, USA","docAbstract":"

This paper describes development of a nitrate decision support tool for groundwater wells (GW-NDST) that combines nitrate leaching and groundwater lag-times to compute well concentrations. The GW-NDST uses output from support models that simulate leached nitrate, groundwater age distributions, and nitrate reduction rates. The support models are linked through convolution to simulate nitrate transport to wells. Spatially distributed parameters were adjusted through calibration to 34,255 nitrate sample targets. Prediction uncertainty is illustrated via Monte Carlo realizations informed during calibration. Over 78% of target concentrations were within the simulated range of results from 450 realizations. An example forecasting scenario illustrates that a range of feasible outcomes exist and should be considered when interpreting forecasts for decision making. Uncertainty in forecasting is unavoidable; the intent of characterizing uncertainty in the GW-NDST is to facilitate decision making by increasing insight into the response of nitrate contamination to physical and chemical processes.

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Laura A. 0000-0001-7012-0081 lschachter@usgs.gov","orcid":"https://orcid.org/0000-0001-7012-0081","contributorId":304706,"corporation":false,"usgs":true,"family":"Schachter","given":"Laura","email":"lschachter@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899160,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, Christopher 0000-0002-6480-8194","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":201642,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":899161,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ferin, Kelsie M. 0000-0001-7035-4769","orcid":"https://orcid.org/0000-0001-7035-4769","contributorId":335679,"corporation":false,"usgs":false,"family":"Ferin","given":"Kelsie","email":"","middleInitial":"M.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":899162,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Booth, Eric G. 0000-0003-2191-6627","orcid":"https://orcid.org/0000-0003-2191-6627","contributorId":335680,"corporation":false,"usgs":false,"family":"Booth","given":"Eric","email":"","middleInitial":"G.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":899163,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kucharik, Christopher J. 0000-0002-0400-758X","orcid":"https://orcid.org/0000-0002-0400-758X","contributorId":333711,"corporation":false,"usgs":false,"family":"Kucharik","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":79957,"text":"University of Wisconsin-Madiscon","active":true,"usgs":false}],"preferred":false,"id":899164,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Austin, Brian P.","contributorId":195992,"corporation":false,"usgs":false,"family":"Austin","given":"Brian","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":899165,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kauffman, Leon J. 0000-0003-4564-0362","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":206428,"corporation":false,"usgs":true,"family":"Kauffman","given":"Leon","email":"","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":899166,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70255850,"text":"70255850 - 2024 - Modeling the potential spread of the non-native regal demoiselle, Neopomacentrus cyanomos, in the western Atlantic","interactions":[],"lastModifiedDate":"2024-07-09T11:46:00.296484","indexId":"70255850","displayToPublicDate":"2024-04-01T06:44:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the potential spread of the non-native regal demoiselle, Neopomacentrus cyanomos, in the western Atlantic","docAbstract":"

Predicting the potential distribution of a non-native species can assist management efforts to mitigate impacts on recipient ecosystems. However, such predictions are lacking for marine species, such as the non-native regal demoiselle, Neopomacentrus cyanomos, that is currently expanding its distribution in the western Atlantic. We used correlative species distribution models with three common algorithms to predict suitable habitat for N. cyanomos in the region. We compared models developed using native, non-native, and global occurrences to differentiate drivers across separate ranges using a suite of 12 environmental characteristics. While final models included an ensemble of variables, the majority ranked the combined effect of temperature variables as a key predictor correlated with the distribution of N. cyanomos. Habitat suitability increased as water temperatures increased beyond 16 °C and where annual thermal ranges were greater than 10 °C at the shallowest depth with substrate within a study cell (~ 9.2 km2 resolution). Habitat suitability also increased where maximum surface temperatures were greater than 27 °C. In the non-native range, the proportion of reef available in each cell was another important variable increasing the suitable habitat for N. cyanomos. Our models predicted high habitat suitability for N. cyanomos throughout the Greater Caribbean, in higher latitudes along North and South American Atlantic coasts, in the eastern Pacific Ocean, and highlights key areas where managers can monitor and target potential removal efforts. The distribution of this non-native species is likely to continue expanding throughout the region with little known about potential implications on native communities.

","language":"English","publisher":"Springer","doi":"10.1007/s00338-024-02490-z","usgsCitation":"Esch, M.M., Jarnevich, C.S., Simoes, N., McClanahan, T.R., and Harborne, A.R., 2024, Modeling the potential spread of the non-native regal demoiselle, Neopomacentrus cyanomos, in the western Atlantic: Coral Reefs, v. 43, p. 641-653, https://doi.org/10.1007/s00338-024-02490-z.","productDescription":"13 p.","startPage":"641","endPage":"653","ipdsId":"IP-153909","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":430832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","noUsgsAuthors":false,"publicationDate":"2024-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Esch, Melanie M","contributorId":339970,"corporation":false,"usgs":false,"family":"Esch","given":"Melanie","email":"","middleInitial":"M","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":905772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":905773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simoes, Nuno","contributorId":339972,"corporation":false,"usgs":false,"family":"Simoes","given":"Nuno","email":"","affiliations":[{"id":81421,"text":"Unidad Multidisciplinaria de Docencia e Investigación Sisal, Facultad de Ciencias, UNAM","active":true,"usgs":false}],"preferred":false,"id":905774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McClanahan, Timothy R","contributorId":339973,"corporation":false,"usgs":false,"family":"McClanahan","given":"Timothy","email":"","middleInitial":"R","affiliations":[{"id":81422,"text":"Wildlife Conservation Society, Global Marine Programs","active":true,"usgs":false}],"preferred":false,"id":905775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harborne, Alastair R","contributorId":339974,"corporation":false,"usgs":false,"family":"Harborne","given":"Alastair","email":"","middleInitial":"R","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":905776,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254137,"text":"70254137 - 2024 - Status and trends of pelagic and benthic prey fish populations in Lake Michigan, 2023","interactions":[],"lastModifiedDate":"2024-12-04T23:00:31.341348","indexId":"70254137","displayToPublicDate":"2024-03-31T16:49:37","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Status and trends of pelagic and benthic prey fish populations in Lake Michigan, 2023","docAbstract":"

Fall bottom trawl (fall BT) and lakewide acoustic (AC) surveys are conducted annually to generate indices of pelagic and benthic prey fish densities in Lake Michigan. The fall BT survey has been conducted each fall since 1973 using 12-m trawls at depths ranging from 9 to 110 m at fixed locations distributed across seven transects; this survey estimates densities of seven prey fish species [i.e., Alewife (Alosa pseudoharengus), Bloater (Coregonus hoyi), Rainbow Smelt (Osmerus mordax), Deepwater Sculpin (Myoxocephalus thompsonii), Slimy Sculpin (Cottus cognatus), Round Goby (Neogobius melanostomus), Ninespine Stickleback (Pungitius pungitius)] as well as age-0 Yellow Perch (Perca flavescens) and large (> 350 mm) Burbot (Lota lota). The AC survey has been conducted each late summer/early fall since 2004, and the 2023 survey consisted of 20 transects [450 km total (336 miles)] covering bottom depths ranging from 12 to 248 m and 29 midwater trawl tows above bottom depths ranging 16 to 246 m; this survey estimates densities of three prey fish species (i.e., Alewife, Bloater, and Rainbow Smelt). The data generated from these surveys are used to estimate various population parameters that are, in turn, used by state and tribal agencies in managing Lake Michigan fish stocks. A spring bottom trawl survey (spring BT) was implemented across 3 of the transects sampled in the fall and sites ranged in depth from 18 to 164 m. The goal of the spring BT is to explore seasonal differences in biomass density and distributions of key prey species, most notably Alewife. Additionally, we conducted acoustic sampling while bottom trawling to evaluate the vertical distribution of fish relative to the height of the trawl.

The abbreviated spring BT survey results indicated that Alewives were primarily offshore with peak biomass density at the 91 m bottom depth. There was no evidence of higher acoustic density above the trawl at depths of 18, 73, 128, and 146 m. At 91 and 164 m, acoustic density above the trawl was >2x that in the trawl path, but sample size at these two depths was low. For the AC survey, total biomass density of prey fish equaled 14.8 kg/ha, 223% higher than the longterm average (2004-2022) of 4.6 kg/ha and 8.8 kg/ha higher than the 2022 estimate. For the fall BT, total biomass density of prey fish equaled 3.6 kg/ha, about 50% lower than the average value from 2004-2022 (6.9 kg/ha). The 2023 fall BT biomass was an order of magnitude lower than the average over the entirety of the time series (1973-2022; 33.7 kg/ha).

Bloater was the dominant species (by biomass) among prey fishes in the fall BT, while the AC survey reported dominance of Alewife. Mean biomass of yearling and older (YAO) Alewife was 10.3 kg/ha in the AC survey, and 0.7 kg/ha in the fall BT. Since 2014, catchability of YAO Alewives for the fall BT has been substantially lower than the AC survey. While limited in scope, the results of the 2023 spring BT do not suggest that catchability is substantially higher in the spring than the fall, which aligns with the 2022 survey results.

Comparing the AC estimate to previous years, YAO Alewife biomass was 359% higher than the average from 2004-2022. Numeric density of age-0 Alewife from the AC survey was 1,205 fish/ha in 2023, which is the third highest in the time series and well above the long-term mean of 428 fish/ha. Biomass density of large (≥120 mm) Bloater in 2023 was 3.5 kg/ha in the AC survey and 2.1 kg/ha in the fall BT - each at least an order of magnitude lower than what was estimated by the fall BT between 1985 and 1997. Following a record high year in 2021 (1,034 fish/ha), the numeric density of small (<120 mm) Bloater was 142 fish/ha in the AC survey, similar to the long-term mean of 120 fish/ha. Meanwhile, small Bloater density estimated in the fall BT was 2 fish/ha. Biomass density of large Rainbow Smelt (≥90 mm) was <0.05 kg/ha in the AC and fall BT surveys, continuing the trend of low Rainbow Smelt biomass that has been observed since 2001. Numeric density of small (<90 mm) Rainbow Smelt was 119 fish/ha in the AC survey and 7 fish/ha in the fall BT, indicating a weak year-class. All four prey fish species sampled only by the fall BT indicated below average biomass densities. Deepwater Sculpin biomass density was estimated at 0.4 kg/ha, which makes 13 of the past 14 years when biomass was <1 kg/ha. Slimy Sculpin was estimated at 0.02 kg/ha, only 5% of the long-term average. Round Goby was estimated at 0.3 kg/ha, below the average biomass of 0.85 kg/ha since 2008 but similar to intermittent low values observed throughout the dataset. Ninespine Stickleback density was 1 fish/ha. Only 35 small (<100 mm) Yellow Perch were caught, indicating a weak Yellow Perch year-class in 2023. 

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The U. S. Geological Survey-Great Lakes Science Center has monitored annual changes in the offshore (depth >9m) prey fish community of Lake Huron since 1973.  Monitoring of prey fish populations in Lake Huron is based on a bottom trawl survey that targets demersal (benthic) species and an acoustic-midwater trawl survey that targets pelagic species and life stages.  In 2023, Bloater (Coregonus hoyi) accounted for 77% of the main basin biomass in bottom trawls and 86% of the main basin biomass in the acoustics survey. Despite this sustained importance of native species in the main basin, species diversity is below desired levels. Bloater in the main basin has exhibited population growth and strong recruitment in recent years, and Cisco (Coregonus artedi) has exhibited increased biomass in the North Channel since 2015.  In contrast non-native Alewife (Alosa pseudoharengus), whose population collapsed in 2004 and has not recovered, were less than 1% of fish biomass in 2023.  Rainbow Smelt (Osmerus mordax) accounted for 7% of the main basin biomass in bottom trawls and 22% of the main basin biomass in the acoustics survey.  Despite remaining the second-most abundant prey species in the main basin, Rainbow Smelt has not shown appreciable increases in biomass despite recent strong year classes.   Deepwater Sculpin (Myoxocephalus thompsonii) increased by 47% in 2023 and were 33% of the long-term average. Slimy Sculpin (Cottus cognatus) increased to 60% of the long-term average but remained rare in bottom trawl catches.  In contrast, biomass of Round Goby (Neogobius melanostomus), a non-native species similar ecologically to the sculpin species, remained near the record high biomass reached in 2022.  Current lake conditions characterized by ongoing oligotrophication seem to favor native coregonines over non-native fishes.  Use of complementary surveys (bottom trawl, acoustics) remains important for evaluating prey fish status in Lake Huron, where prey fish community dynamics vary by basin and prey fish responses to changing environmental conditions depend on species and/or habitat.  

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pesselman@usgs.gov","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":5965,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter","email":"pesselman@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":901805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brant, Cory 0000-0002-0919-1566","orcid":"https://orcid.org/0000-0002-0919-1566","contributorId":223422,"corporation":false,"usgs":true,"family":"Brant","given":"Cory","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":901806,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farha, Steven A.","contributorId":79026,"corporation":false,"usgs":true,"family":"Farha","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":901807,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Phillips, Kristy 0000-0001-8378-0660","orcid":"https://orcid.org/0000-0001-8378-0660","contributorId":204292,"corporation":false,"usgs":true,"family":"Phillips","given":"Kristy","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":901808,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70252659,"text":"70252659 - 2024 - Simulating past and future fire impacts on Mediterranean ecosystems","interactions":[],"lastModifiedDate":"2024-05-20T15:28:13.244929","indexId":"70252659","displayToPublicDate":"2024-03-31T07:17:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Simulating past and future fire impacts on Mediterranean ecosystems","docAbstract":"
  1. Worldwide, large wildfires are becoming increasingly common, leading to economic damages and threatening ecosystems and human health. Under future climate change, more frequent fire disturbance may push ecosystems into non-forested alternative stable states. Fire-prone ecosystems such as those in the Mediterranean Basin are expected to be particularly vulnerable, but the position of tipping points is unclear.
  2. We compare long-term palaeoecological data from Sardinia with output from a process-based dynamic vegetation model to investigate the mechanisms controlling the complex interactions between fire, climate, and vegetation in the past and the future.
  3. Our results show that past vegetation changes from Erica-shrublands to mixed evergreen-broadleaved Quercus ilex-dominated forests were driven by a climate-induced fire regime shift. By simulating vegetation dynamics under varying fire regimes, we could reproduce Holocene vegetation trajectories and mechanistically identify tipping points.
  4. Without an immediate reduction of greenhouse gas emissions, we simulate future expansion of fire-prone Mediterranean maquis and increasing fire occurrence. Similarly, high anthropogenic ignition frequencies and plantations of non-native, highly flammable trees could induce a shift to fire-adapted Erica shrublands. However, our simulations indicate that if global warming can be kept below 2°C, Quercus ilex forests will be able to persist and effectively reduce fire occurrences and impacts, making them a valuable restoration target in Mediterranean ecosystems.
  5. Synthesis. By combining long-term records of ecosystem change with a dynamic vegetation model, we show that past climate-driven fire regime shifts were the main driver of vegetation change, creating alternative stable states that persisted over centuries. Projected future climate change exceeding Holocene variability leads to pronounced vegetation changes and increased fire risks in our simulations, requiring new fire management strategies to maintain current ecosystem services.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2745.14293","usgsCitation":"Schworer, C., Morales-Molino, C., Gobet, E., Henne, P., Pasta, S., Pedrotta, T., van Leeuwen, J.F., Vanniere, B., and Tinner, W., 2024, Simulating past and future fire impacts on Mediterranean ecosystems: Journal of Ecology, v. 112, no. 5, p. 954-970, https://doi.org/10.1111/1365-2745.14293.","productDescription":"17 p.","startPage":"954","endPage":"970","ipdsId":"IP-147680","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":439999,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2745.14293","text":"Publisher Index Page"},{"id":427300,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Schworer, Christoph 0000-0002-8884-8852","orcid":"https://orcid.org/0000-0002-8884-8852","contributorId":210163,"corporation":false,"usgs":false,"family":"Schworer","given":"Christoph","email":"","affiliations":[{"id":34056,"text":"Institute of Plant Sciences, University of Bern, Switzerland","active":true,"usgs":false}],"preferred":true,"id":897843,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morales-Molino, Cesar 0000-0002-9464-862X","orcid":"https://orcid.org/0000-0002-9464-862X","contributorId":224224,"corporation":false,"usgs":false,"family":"Morales-Molino","given":"Cesar","email":"","affiliations":[{"id":38843,"text":"University of Bern, Switzerland","active":true,"usgs":false}],"preferred":false,"id":897844,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gobet, Erika","contributorId":257621,"corporation":false,"usgs":false,"family":"Gobet","given":"Erika","email":"","affiliations":[{"id":38843,"text":"University of Bern, Switzerland","active":true,"usgs":false}],"preferred":false,"id":897845,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Henne, Paul D. 0000-0003-1211-5545 phenne@usgs.gov","orcid":"https://orcid.org/0000-0003-1211-5545","contributorId":169166,"corporation":false,"usgs":true,"family":"Henne","given":"Paul D.","email":"phenne@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":897846,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pasta, Salvatore","contributorId":169176,"corporation":false,"usgs":false,"family":"Pasta","given":"Salvatore","email":"","affiliations":[{"id":25432,"text":"National Council of Research, Palermo, Italy","active":true,"usgs":false}],"preferred":false,"id":897847,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pedrotta, Tiziana 0000-0001-8490-7731","orcid":"https://orcid.org/0000-0001-8490-7731","contributorId":257620,"corporation":false,"usgs":false,"family":"Pedrotta","given":"Tiziana","email":"","affiliations":[{"id":38843,"text":"University of Bern, Switzerland","active":true,"usgs":false}],"preferred":false,"id":897848,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"van Leeuwen, Jacqueline F. N.","contributorId":335244,"corporation":false,"usgs":false,"family":"van Leeuwen","given":"Jacqueline","email":"","middleInitial":"F. N.","affiliations":[{"id":38843,"text":"University of Bern, Switzerland","active":true,"usgs":false}],"preferred":false,"id":897849,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vanniere, Boris 0000-0002-6779-6053","orcid":"https://orcid.org/0000-0002-6779-6053","contributorId":335245,"corporation":false,"usgs":false,"family":"Vanniere","given":"Boris","email":"","affiliations":[{"id":80358,"text":"Université Bourgogne Franche-Comté","active":true,"usgs":false}],"preferred":false,"id":897850,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tinner, Willy 0000-0001-7352-0144","orcid":"https://orcid.org/0000-0001-7352-0144","contributorId":169167,"corporation":false,"usgs":false,"family":"Tinner","given":"Willy","email":"","affiliations":[{"id":25430,"text":"University of Bern","active":true,"usgs":false}],"preferred":false,"id":897851,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70252888,"text":"70252888 - 2024 - The roles of diet and habitat use in pesticide bioaccumulation by juvenile Chinook Salmon: Insights from stable isotopes and fatty acid biomarkers","interactions":[],"lastModifiedDate":"2024-04-23T15:23:41.80078","indexId":"70252888","displayToPublicDate":"2024-03-31T06:48:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":887,"text":"Archives of Environmental Contamination and Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"The roles of diet and habitat use in pesticide bioaccumulation by juvenile Chinook Salmon: Insights from stable isotopes and fatty acid biomarkers","docAbstract":"

Stable isotopes (SI) and fatty acid (FA) biomarkers can provide insights regarding trophic pathways and habitats associated with contaminant bioaccumulation. We assessed relationships between SI and FA biomarkers and published data on concentrations of two pesticides [dichlorodiphenyltrichloroethane and degradation products (DDX) and bifenthrin] in juvenile Chinook Salmon (Oncorhynchus tshawytscha) from the Sacramento River and Yolo Bypass floodplain in Northern California near Sacramento. We also conducted SI and FA analyses of zooplankton and macroinvertebrates to determine whether particular trophic pathways and habitats were associated with elevated pesticide concentrations in fish. Relationships between DDX and both sulfur (δ34S) and carbon (δ13C) SI ratios in salmon indicated that diet is a major exposure route for DDX, particularly for individuals with a benthic detrital energy base. Greater use of a benthic detrital energy base likely accounted for the higher frequency of salmon with DDX concentrations > 60 ng/g dw in the Yolo Bypass compared to the Sacramento River. Chironomid larvae and zooplankton were implicated as prey items likely responsible for trophic transfer of DDX to salmon. Sulfur SI ratios enabled identification of hatchery-origin fish that had likely spent insufficient time in the wild to substantially bioaccumulate DDX. Bifenthrin concentration was unrelated to SI or FA biomarkers in salmon, potentially due to aqueous uptake, biotransformation and elimination of the pesticide, or indistinct biomarker compositions among invertebrates with low and high bifenthrin concentrations. One FA [docosahexaenoic acid (DHA)] and DDX were negatively correlated in salmon, potentially due to a greater uptake of DDX from invertebrates with low DHA or effects of DDX on FA metabolism. Trophic biomarkers may be useful indicators of DDX accumulation and effects in juvenile Chinook Salmon in the Sacramento River Delta.

","language":"English","publisher":"Springer","doi":"10.1007/s00244-024-01060-2","usgsCitation":"Anzalone, S.E., Fuller, N.W., Huff Hartz, K., Whitledge, G.W., Magnuson, J.T., Schlenk, D., Acuña, S., Whiles, M., and Lydy, M.J., 2024, The roles of diet and habitat use in pesticide bioaccumulation by juvenile Chinook Salmon: Insights from stable isotopes and fatty acid biomarkers: Archives of Environmental Contamination and Toxicology, v. 86, p. 234-248, https://doi.org/10.1007/s00244-024-01060-2.","productDescription":"15 p.","startPage":"234","endPage":"248","ipdsId":"IP-158648","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":427637,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"86","noUsgsAuthors":false,"publicationDate":"2024-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Anzalone, Sara E.","contributorId":335521,"corporation":false,"usgs":false,"family":"Anzalone","given":"Sara","email":"","middleInitial":"E.","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":898598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fuller, Neil W.","contributorId":335522,"corporation":false,"usgs":false,"family":"Fuller","given":"Neil","email":"","middleInitial":"W.","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":898599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huff Hartz, Kara E.","contributorId":335525,"corporation":false,"usgs":false,"family":"Huff Hartz","given":"Kara E.","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":898600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitledge, Gregory W.","contributorId":205604,"corporation":false,"usgs":false,"family":"Whitledge","given":"Gregory","email":"","middleInitial":"W.","affiliations":[{"id":32417,"text":"Southern Illinois University-Carbondale","active":true,"usgs":false}],"preferred":false,"id":898601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":898602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schlenk, Daniel","contributorId":221106,"corporation":false,"usgs":false,"family":"Schlenk","given":"Daniel","email":"","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":898603,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Acuña, Shawn","contributorId":293913,"corporation":false,"usgs":false,"family":"Acuña","given":"Shawn","affiliations":[{"id":63555,"text":"Metropolitan Water District Southern California, Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":898604,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whiles, Matt R.","contributorId":335243,"corporation":false,"usgs":false,"family":"Whiles","given":"Matt R.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":898605,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lydy, Michael J.","contributorId":335530,"corporation":false,"usgs":false,"family":"Lydy","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":13212,"text":"Southern Illinois University","active":true,"usgs":false}],"preferred":false,"id":898606,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70252636,"text":"70252636 - 2024 - Clumped isotopes record a glacial-interglacial shift in seasonality of soil carbonate accumulation in the San Luis Valley, southern Rocky Mountains, USA","interactions":[],"lastModifiedDate":"2024-04-02T14:29:29.868672","indexId":"70252636","displayToPublicDate":"2024-03-30T09:22:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Clumped isotopes record a glacial-interglacial shift in seasonality of soil carbonate accumulation in the San Luis Valley, southern Rocky Mountains, USA","docAbstract":"

Clumped isotope paleothermometry using pedogenic carbonates is a powerful tool for investigating past climate changes. However, location-specific seasonal patterns of precipitation and soil moisture cause systematic biases in the temperatures they record, hampering comparison of data across large areas or differing climate states. To account for biases, more systematic studies of carbonate forming processes are needed. We measured modern soil temperatures within the San Luis Valley of the Rocky Mountains and compared them to paleotemperatures determined using clumped isotopes. For Holocene-age samples, clumped isotope results indicate carbonate accumulated at a range of temperatures with site averages similar to the annual mean. Paleotemperatures for late Pleistocene-age samples (ranging 19–72 ka in age) yielded site averages only 2°C lower, despite evidence that annual temperatures during glacial periods were 5–9°C colder than modern. We use a 1D numerical model of soil physics to support the idea that differences in hydrologic conditions in interglacial versus glacial periods promote differences in the seasonal distribution of soil carbonate accumulation. Model simulations of modern (Holocene) conditions suggest that soil drying under low soil pCO2 favors year-round carbonate accumulation in this region but peaking during post-monsoon soil drying. During a “glacial” simulation with lowered temperatures and added snowpack, more carbonate accumulation shifted to the summer season. These experiments show that changing hydrologic regimes could change the seasonality of carbonate accumulation, which in this study blunts the use of clumped isotopes to quantify glacial-interglacial temperature changes. This highlights the importance of understanding seasonal biases of climate proxies for accurate paleoenvironmental reconstruction.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GC011221","usgsCitation":"Hudson, A.M., Kelson, J.R., Paces, J., Ruleman, C.A., Huntington, K.W., and Schauer, A.J., 2024, Clumped isotopes record a glacial-interglacial shift in seasonality of soil carbonate accumulation in the San Luis Valley, southern Rocky Mountains, USA: Geochemistry, Geophysics, Geosystems, v. 25, no. 4, e2023GC011221, 23 p., https://doi.org/10.1029/2023GC011221.","productDescription":"e2023GC011221, 23 p.","ipdsId":"IP-114357","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":440002,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gc011221","text":"Publisher Index Page"},{"id":435011,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TJF3PZ","text":"USGS data release","linkHelpText":"Isotopic, geochronologic and soil temperature data for Holocene and late Pleistocene soil carbonates of the San Luis Valley, Colorado and New Mexico, USA"},{"id":427311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, new Mexico","otherGeospatial":"San Luis Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107,\n 38.5\n ],\n [\n -107,\n 35.5\n ],\n [\n -105,\n 35.5\n ],\n [\n -105,\n 38.5\n ],\n [\n -107,\n 38.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Hudson, Adam M. 0000-0002-3387-9838 ahudson@usgs.gov","orcid":"https://orcid.org/0000-0002-3387-9838","contributorId":195419,"corporation":false,"usgs":true,"family":"Hudson","given":"Adam","email":"ahudson@usgs.gov","middleInitial":"M.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":897780,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelson, Julia R.","contributorId":335224,"corporation":false,"usgs":false,"family":"Kelson","given":"Julia","email":"","middleInitial":"R.","affiliations":[{"id":80344,"text":"Department of Geosciences, University of Michigan, Ann Arbor, MI, USA, Department of Earth and Atmospheric Sciences, Indiana University, Indianapolis, Indiana, USA","active":true,"usgs":false}],"preferred":false,"id":897781,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paces, James B. 0000-0002-9809-8493","orcid":"https://orcid.org/0000-0002-9809-8493","contributorId":118216,"corporation":false,"usgs":true,"family":"Paces","given":"James B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":897782,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruleman, Chester A. 0000-0002-1503-4591 cruleman@usgs.gov","orcid":"https://orcid.org/0000-0002-1503-4591","contributorId":1264,"corporation":false,"usgs":true,"family":"Ruleman","given":"Chester","email":"cruleman@usgs.gov","middleInitial":"A.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":897783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huntington, Katharine W.","contributorId":195423,"corporation":false,"usgs":false,"family":"Huntington","given":"Katharine","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":897784,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schauer, Andrew J.","contributorId":140713,"corporation":false,"usgs":false,"family":"Schauer","given":"Andrew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":897785,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263277,"text":"70263277 - 2024 - Methane clumped isotopologue variability from ebullition in a mid-latitude lake","interactions":[],"lastModifiedDate":"2025-02-04T15:16:16.078706","indexId":"70263277","displayToPublicDate":"2024-03-30T09:12:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5615,"text":"ACS Earth and Space Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Methane clumped isotopologue variability from ebullition in a mid-latitude lake","docAbstract":"

Methane is a greenhouse gas and is an important component of carbon cycling in freshwater environments. Isotope ratios of methane (13C/12C and D/H) are used extensively as tracers to identify methane sources. Recent advances in the measurement of clumped methane isotopologues (13CH3D, 12CH2D2) offer new opportunities to constrain sources and sinks of atmospheric methane. Previous measurements of clumped methane isotopologues from freshwater environments have been spatially and temporally limited. The abundance of 13CH3D and methane flux from ebullition in the deep basin of Upper Mystic Lake were measured from May to November 2021 to characterize the source isotopologue signatures and methane fluxes for mid-latitude lakes. The trends in δ13C and δD values support decreased methane oxidation in the early summer compared to fall. The Δ13CH3D values from this study range from 2.0 to 4.2‰, reflecting methane oxidation occurring anaerobically in lake sediments and euxinic bottom waters at sample sites. The relatively large variation in the Δ13CH3D values observed within this lake basin aligns with previous observations of bubbles from arctic lakes. The values of Δ13CH3D do not correlate with methane flux, suggesting that Δ13CH3D measurements from background ebullition are not sensitive as a proxy for ebullition rates. This study presents a uniquely large (n = 40) set of freshwater Δ13CH3D values from a single lake basin, which we use to recommend a sampling strategy of ≥9 samples to constrain the Δ13CH3D source signal within ∼0.5‰ from similar environments. This data demonstrates the utility of clumped methane isotopologues to gain insights into local biogeochemical processes from field studies and points to the challenge of using clumped isotopologue measurements to constrain global freshwater–methane sources to the atmosphere.

","language":"English","publisher":"ACS Publications","doi":"10.1021/acsearthspacechem.3c00282","usgsCitation":"Lalk, E., Velez, A., and Ono, S., 2024, Methane clumped isotopologue variability from ebullition in a mid-latitude lake: ACS Earth and Space Chemistry, v. 8, no. 4, p. 689-701, https://doi.org/10.1021/acsearthspacechem.3c00282.","productDescription":"13 p.","startPage":"689","endPage":"701","ipdsId":"IP-157992","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":481663,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Lalk, Ellen Jennifer 0000-0002-9843-9278","orcid":"https://orcid.org/0000-0002-9843-9278","contributorId":350488,"corporation":false,"usgs":true,"family":"Lalk","given":"Ellen Jennifer","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":926126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Velez, Amber","contributorId":350489,"corporation":false,"usgs":false,"family":"Velez","given":"Amber","affiliations":[{"id":47799,"text":"MIT","active":true,"usgs":false}],"preferred":false,"id":926127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ono, Shuhei","contributorId":100627,"corporation":false,"usgs":false,"family":"Ono","given":"Shuhei","email":"","affiliations":[{"id":13295,"text":"1Department of Earth, Atmospheric and Planetary Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139,","active":true,"usgs":false}],"preferred":false,"id":926128,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70252640,"text":"70252640 - 2024 - Potential impacts of an autumn oil spill on polar bears summering on land in northern Alaska","interactions":[],"lastModifiedDate":"2024-04-02T13:44:30.319646","indexId":"70252640","displayToPublicDate":"2024-03-30T07:03:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Potential impacts of an autumn oil spill on polar bears summering on land in northern Alaska","docAbstract":"

Demand for oil and natural gas continues to increase, leading to the development of remote regions where it is riskier to operate. Many of these regions have had limited development, so understanding potential impacts to wildlife could inform management decisions. In 2017, the United States passed legislation allowing oil and gas development in the coastal plain of the Arctic National Wildlife Refuge in northeastern Alaska. This area has received limited industrial development and is an important region for polar bears that use the coastline as a travel corridor in autumn. We sought to understand how an autumn near-shore oil spill in the Refuge could affect polar bears. We simulated oil spills from shallow sub-sea pipelines at 3 locations along the coastline of the Refuge and allowed spills to discharge 4800 barrels of oil per day for 6 days, and tracked oil for 50 days. We interacted the trajectories with simulated polar bear movements to estimate how many bears might be exposed. Oil spread quickly along the coastline and during some weeks exposed an average of 10 bears (95 % CI: 0–37) to lethal levels of oil, and 60 (95 % CI: 9–120) to sub-lethal levels. Our results suggest a significant number of polar bears could become oiled from a spill in the region and require decontamination. Therefore, future mitigation strategies could include careful siting of future development and additional capacity to capture and decontaminate bears in the event of an oil spill.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110558","usgsCitation":"Wilson, R.H., French-Mckay, D., Perham, C.J., Woodruff, S.P., Atwood, T.C., and Durner, G.M., 2024, Potential impacts of an autumn oil spill on polar bears summering on land in northern Alaska: Biological Conservation, v. 292, 110558, 8 p., https://doi.org/10.1016/j.biocon.2024.110558.","productDescription":"110558, 8 p.","ipdsId":"IP-160523","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":440005,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2024.110558","text":"Publisher Index Page"},{"id":427298,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -142.56798415665375,\n 70.59567747774278\n ],\n [\n -151.73689151192983,\n 70.59567747774278\n ],\n [\n -151.73689151192983,\n 69.20455516172586\n ],\n [\n -142.56798415665375,\n 69.20455516172586\n ],\n [\n -142.56798415665375,\n 70.59567747774278\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"292","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Ryan H. 0000-0001-7740-7771","orcid":"https://orcid.org/0000-0001-7740-7771","contributorId":130989,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan","email":"","middleInitial":"H.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":897792,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"French-Mckay, Deborah","contributorId":335225,"corporation":false,"usgs":false,"family":"French-Mckay","given":"Deborah","email":"","affiliations":[{"id":80347,"text":"RPS-ASA","active":true,"usgs":false}],"preferred":false,"id":897793,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perham, Craig J","contributorId":292633,"corporation":false,"usgs":false,"family":"Perham","given":"Craig","email":"","middleInitial":"J","affiliations":[{"id":16722,"text":"US Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":897794,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodruff, Susannah P.","contributorId":292629,"corporation":false,"usgs":false,"family":"Woodruff","given":"Susannah","email":"","middleInitial":"P.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":897795,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":897796,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":897797,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70252668,"text":"70252668 - 2024 - Timing and source of recharge to the Columbia River Basalt groundwater system in northeastern Oregon","interactions":[],"lastModifiedDate":"2024-09-11T16:11:18.161455","indexId":"70252668","displayToPublicDate":"2024-03-30T06:44:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Timing and source of recharge to the Columbia River Basalt groundwater system in northeastern Oregon","docAbstract":"

Recharge to and flow within the Columbia River Basalt Group (CRBG) groundwater flow system of northeastern Oregon were characterized using isotopic, gas, and age-tracer samples from wells completed in basalt, springs, and stream base flow. Most groundwater samples were late-Pleistocene to early-Holocene; median age of well samples was 11,100 years. The relation between mean groundwater age and completed well depth across the eastern portion of the study area was similar despite differences in precipitation, topographic position, incision, thickness of the sedimentary overburden, and CRBG geologic unit. However, the lateral continuity in groundwater age was disrupted across large regional fault zones indicating these structures are substantial impediments to groundwater flow from the high-precipitation uplands to adjacent lower-precipitation and lower-elevation portions of the study area. Recharge rates calculated from the age-depth relations were <3 mm/yr and independent of the modern precipitation gradient across the study area. The age-constrained recharge rates to the CRBG groundwater system are considerably smaller than previously published estimates and highlight the uncertainty of prevailing models used to estimate recharge to the CRBG groundwater system across the Columbia Plateau in Oregon and Washington. Age tracer and isotopic evidence indicate recharge to the CRBG groundwater system is an exceedingly slow and localized process.

","language":"English","publisher":"Wiley","doi":"10.1111/gwat.13404","usgsCitation":"Johnson, H.M., Ely, K.E., and Maher, A., 2024, Timing and source of recharge to the Columbia River Basalt groundwater system in northeastern Oregon: Groundwater, v. 62, no. 5, p. 761-777, https://doi.org/10.1111/gwat.13404.","productDescription":"17 p.","startPage":"761","endPage":"777","ipdsId":"IP-150270","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":440008,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13404","text":"Publisher Index Page"},{"id":427296,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Columbia River Basalt","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.3,\n 45.6\n ],\n [\n -119.3,\n 45.15\n ],\n [\n -118,\n 45.15\n ],\n [\n -118,\n 45.6\n ],\n [\n -119.3,\n 45.6\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Henry M. 0000-0002-7571-4994 hjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":869,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"hjohnson@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897861,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ely, Kate E.","contributorId":335248,"corporation":false,"usgs":false,"family":"Ely","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":13345,"text":"Confederated Tribes of the Umatilla Indian Reservation","active":true,"usgs":false}],"preferred":false,"id":897862,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maher, Anna-Turi 0000-0001-8679-7978","orcid":"https://orcid.org/0000-0001-8679-7978","contributorId":245832,"corporation":false,"usgs":true,"family":"Maher","given":"Anna-Turi","email":"","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897863,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70256168,"text":"70256168 - 2024 - Inbuilt age, residence time, and inherited age from radiocarbon dates of modern fires and late Holocene deposits, Western Transverse Ranges, California","interactions":[],"lastModifiedDate":"2024-07-26T00:10:59.560793","indexId":"70256168","displayToPublicDate":"2024-03-29T19:09:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Inbuilt age, residence time, and inherited age from radiocarbon dates of modern fires and late Holocene deposits, Western Transverse Ranges, California","docAbstract":"Radiocarbon dates of sedimentary deposits include the elapsed time between formation of the organic material and deposition at the sample site, known as the inherited age. Long inherited ages reduce the accuracy of estimates of the timing of depositional events used to infer paleoclimate change, fire histories, and paleoearthquake timing. An inherited age distribution combines the inbuilt age distribution, which reflects the age composition of the vegetation of the source area, and the residence time distribution, which includes transport and interim storage prior to final deposition. Differentiating residence time and inbuilt age is difficult given typical dispersion of ages in a sedimentary deposit. We address this problem by comparing charcoal dates from two modern fires in southern California, the 2020 Bobcat and the 2013 Grand Fire, with a well-dated late Holocene deposit in the Pallett Creek watershed. The modern fire deposits have negligible transport time (<1 year), and 56 radiocarbon dates indicate a median age of 25 years (300-year 95% range) provides an estimate of inbuilt age for the San Gabriel Mountains. The inherited age calculated from the paleodeposits is older with a median age of ~90 years and has a positive skew (850-year 95% range). A modeled inherited age, calculated by applying the pre-bomb radiocarbon calibration curve to the modern fire age distribution, is shorter than the paleodeposit inherited age by only 21 years, indicating samples with long residence times are not common in the deposit. Comparison of inherited ages calculated from organic-rich and clastic paleodeposits indicate a slight facies dependence that may reflect longer residence time in clastic deposits. The results provide insight into the transport of charcoal through the landscape are useful for refining estimates of past environmental and tectonic events.","language":"English","publisher":"Wiley","doi":"10.1002/esp.5845","usgsCitation":"Scharer, K., McPhillips, D., Leidelmeijer, J.A., and Kirby, M., 2024, Inbuilt age, residence time, and inherited age from radiocarbon dates of modern fires and late Holocene deposits, Western Transverse Ranges, California: Earth Surface Processes and Landforms, v. 49, no. 8, p. 2309-2582, https://doi.org/10.1002/esp.5845.","productDescription":"15 p.","startPage":"2309","endPage":"2582","ipdsId":"IP-157617","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487500,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1002/esp.5845","text":"Publisher Index Page"},{"id":431455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Western Transverse Ranges","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.1395857621996,\n 34.74919829648208\n ],\n [\n -120.1395857621996,\n 33.68632194829253\n ],\n [\n -117.76653888719963,\n 33.68632194829253\n ],\n [\n -117.76653888719963,\n 34.74919829648208\n ],\n [\n -120.1395857621996,\n 34.74919829648208\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-05-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Scharer, Katherine M. 0000-0003-2811-2496","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":217361,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McPhillips, Devin 0000-0003-1987-9249","orcid":"https://orcid.org/0000-0003-1987-9249","contributorId":217362,"corporation":false,"usgs":true,"family":"McPhillips","given":"Devin","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":906965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leidelmeijer, Jenifer Amy 0000-0003-3344-5658","orcid":"https://orcid.org/0000-0003-3344-5658","contributorId":329679,"corporation":false,"usgs":true,"family":"Leidelmeijer","given":"Jenifer","email":"","middleInitial":"Amy","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":906966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kirby, Matthew","contributorId":140654,"corporation":false,"usgs":false,"family":"Kirby","given":"Matthew","affiliations":[{"id":13544,"text":"California State University, Fullerton","active":true,"usgs":false}],"preferred":false,"id":906967,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70252251,"text":"sir20235142 - 2024 - Evaluation of the characteristics, discharge, and water quality of selected springs at Fort Irwin National Training Center, San Bernardino County, California","interactions":[],"lastModifiedDate":"2026-01-30T19:53:52.01101","indexId":"sir20235142","displayToPublicDate":"2024-03-29T12:07:33","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5142","displayTitle":"Evaluation of the Characteristics, Discharge, and Water Quality of Selected Springs at Fort Irwin National Training Center, San Bernardino County, California","title":"Evaluation of the characteristics, discharge, and water quality of selected springs at Fort Irwin National Training Center, San Bernardino County, California","docAbstract":"

Eight springs and seeps at Fort Irwin National Training Center were described and categorized by their general characteristics, discharge, geophysical properties, and water quality between 2015 and 2017. The data collected establish a modern (2017) baseline of hydrologic conditions at the springs. Two types of springs were identified: (1) precipitation-fed upland springs (Cave, Desert King, Devouge, No Name, and Panther Springs) and (2) groundwater discharge-fed basin springs (Garlic, Bitter, and Jack Springs). Comparison of electrical resistivity tomography data collected at groundwater basin springs from 2015 to 2017 indicated that spring discharge and connection to the underlying groundwater system is highly focused, although the springs themselves appear diffuse and are spread out over a large area.

Spring discharge was consistently less than reported by Thompson (1929), except at Garlic Spring where discharges and vegetation have increased in recent years. Multiple discrete flume and seepage meter measurements taken between October 2015 and April 2016 indicated that discharge changed predictably on diurnal and seasonal timescales in response to evapotranspiration. These preliminary results and the lush vegetation noted at some of the springs, particularly at Bitter, Garlic, and Jack Springs, indicated plant evapotranspiration accounts for a substantial part of the discharge from these springs.

The quality of water ranges from fresh in precipitation-fed upland springs (Cave, Desert King, Devouge, and Panther Springs) to slightly saline (Garlic and Jack Springs) and moderately saline (Bitter Spring) in groundwater-fed discharge springs. Nitrate concentrations from water at most of the springs were less than 3 milligrams per liter, except for samples from Devouge and Desert King Springs and one sample from Jack Spring. An analysis of delta nitrogen-15 in nitrate (δ15N-NO3) and delta oxygen-18 in nitrate (δ18O-NO3) indicates high nitrate concentrations in excess of the U.S. Environmental Protection Agency maximum contaminant level at Jack Spring and Desert King Spring resulting from the dissolution of nitrate-bearing caliche deposits; nitrate concentrations at Devouge Spring are a result of algal growth within the spring, and the source of nitrate concentrations in Garlic Spring are consistent with a treated wastewater origin from Langford Valley-Irwin subbasin upgradient. The source of water in upland springs, indicated by values of delta oxygen-18 (δ18O) and delta deuterium (δD) are consistent with recharge from winter precipitation. In groundwater basin springs, values of δ18O and δD are consistent with groundwater sampled from nearby wells. Summer monsoonal precipitation appears to contribute little water to spring flow. Most springs contain low levels of tritium and appear to be primarily older (pre-1950s) groundwater. Groundwater basin springs with detectable tritium may result from occasional streamflow in nearby washes. These springs could be susceptible to decreases in flow during extended dry periods when the localized recharge may be reduced due to the loss of focused recharge through nearby washes.

Groundwater samples from Garlic and Bitter Springs contained arsenic concentrations above the U.S. Environmental Protection Agency maximum contaminant level. Groundwater samples from all springs, except Cave, Desert King, and Devouge Springs, exceeded the State of California maximum contaminant level for fluoride. Garlic Spring was the only sampled spring that contained vanadium concentrations that exceeded the State of California notification level. Only a single water sample from Jack Spring contained uranium at a concentration that exceeded the U.S. Environmental Protection Agency maximum contaminant level.

Many other constituents of concern were analyzed, including those from anthropogenic sources that may be a result of military activities. Most of these constituents were not detected above their respective reporting levels in spring water; only 15 were detected in spring waters. Diesel and gasoline degradants, many of which also occur naturally, were the most commonly detected compounds. Several other organic compounds, primarily solvents or their degradants, were detected in groundwater basin springs. These constituents, in order of decreasing detection frequency, were carbon disulfide; perchlorate; mercury; acetone; methylnaphthalene; toluene; methyl ethyl ketone; cyanide; and styrene; 4-iso-propyl-toluene; isopropylbenzene; methyl salicylate; and phenol. Except for Garlic Spring, which is affected by discharges of treated wastewater, the quality of water from most springs appears to be relatively unaffected by activities at the Fort Irwin National Training Center.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235142","collaboration":"Prepared in cooperation with the U.S. Army Fort Irwin National Training Center","programNote":"Water Availability and Use Science Program","usgsCitation":"Densmore, J.N., Thayer, D.C., Dick, M.C., Swarzenski, P.W., Ball, L.B., Rosecrans, C.Z., and Johnson, C., 2024, Evaluation of the characteristics, discharge, and water quality of selected springs at Fort Irwin National Training Center, San Bernardino County, California: U.S. Geological Survey Scientific Investigations Report 2023–5142, 87 p., https://doi.org/10.3133/sir20235142.","productDescription":"Report: xii, 87 p.; 2 Data Releases","numberOfPages":"87","onlineOnly":"Y","ipdsId":"IP-098665","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":426854,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P901E9C2","text":"USGS Data Release","description":"Mesmer, R.D., Dick, M.C., and Densmore, J.N., 2024, Temperature and discharge data of selected springs at Fort Irwin National Training Center, San Bernardino County, California: U.S. Geological Survey data release, available at https://doi.org/10.5066/P901E9C2.","linkHelpText":"Temperature and discharge data of selected springs at Fort Irwin National Training Center, San Bernardino County, California"},{"id":499404,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116216.htm","linkFileType":{"id":5,"text":"html"}},{"id":426868,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5142/images"},{"id":426867,"rank":6,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5142/covrthb.jpg"},{"id":426866,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235142/full"},{"id":426865,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5142/sir20235142.xml"},{"id":426864,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5142/sir20235142.pdf","text":"Report","size":"25.9 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":426853,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77W6BF0","text":"USGS Data Release","description":"Thayer, D.C., Ball, L.B., Densmore, J.N., Swarzenski, P.W., and Johnson, C., 2018, Electrical resistivity tomography data at Fort Irwin National Training Center, San Bernardino County, California, 2015 and 2017: U.S. Geological Survey data release, available at https://doi.org/10.5066/F77W6BF0.","linkHelpText":"Electrical resistivity tomography data at Fort Irwin National Training Center, San Bernardino County, California, 2015 and 2017"}],"country":"United States","state":"California","otherGeospatial":"Fort Irwin National Training Center","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.65077467771744,\n 36.01045506303355\n ],\n [\n -117.65077467771744,\n 34.68622540325404\n ],\n [\n -115.49481045780325,\n 34.68622540325404\n ],\n [\n -115.49481045780325,\n 36.01045506303355\n ],\n [\n -117.65077467771744,\n 36.01045506303355\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director,
California Water Science Center
U.S. Geological Survey
6000 J Street, Placer Hall
Sacramento, California 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2024-03-29","noUsgsAuthors":false,"publicationDate":"2024-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Densmore, Jill N. 0000-0002-5345-6613 jidensmo@usgs.gov","orcid":"https://orcid.org/0000-0002-5345-6613","contributorId":197491,"corporation":false,"usgs":true,"family":"Densmore","given":"Jill","email":"jidensmo@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thayer, Drew C. 0000-0001-9251-935X","orcid":"https://orcid.org/0000-0001-9251-935X","contributorId":214192,"corporation":false,"usgs":true,"family":"Thayer","given":"Drew","email":"","middleInitial":"C.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":897045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dick, Meghan C. 0000-0002-8323-3787 mdick@usgs.gov","orcid":"https://orcid.org/0000-0002-8323-3787","contributorId":200745,"corporation":false,"usgs":true,"family":"Dick","given":"Meghan","email":"mdick@usgs.gov","middleInitial":"C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swarzenski, Peter W. 0000-0003-0116-0578 pswarzen@usgs.gov","orcid":"https://orcid.org/0000-0003-0116-0578","contributorId":1070,"corporation":false,"usgs":true,"family":"Swarzenski","given":"Peter","email":"pswarzen@usgs.gov","middleInitial":"W.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":897047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":897048,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosecrans, Celia Z. 0000-0003-1456-4360 crosecrans@usgs.gov","orcid":"https://orcid.org/0000-0003-1456-4360","contributorId":187542,"corporation":false,"usgs":true,"family":"Rosecrans","given":"Celia","email":"crosecrans@usgs.gov","middleInitial":"Z.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":897049,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Cordell 0000-0001-8353-8030 cordell_johnson@usgs.gov","orcid":"https://orcid.org/0000-0001-8353-8030","contributorId":147437,"corporation":false,"usgs":true,"family":"Johnson","given":"Cordell","email":"cordell_johnson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":897050,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70252817,"text":"70252817 - 2024 - Genetic Connectivity in the Arizona toad (Anaxyrus microscaphus): implications for conservation of a stream dwelling amphibian in the arid Southwestern U.S.","interactions":[],"lastModifiedDate":"2024-05-20T15:30:21.200402","indexId":"70252817","displayToPublicDate":"2024-03-29T11:29:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic Connectivity in the Arizona toad (Anaxyrus microscaphus ): Implications for conservation of a stream dwelling amphibian in the arid Southwestern U.S.","title":"Genetic Connectivity in the Arizona toad (Anaxyrus microscaphus): implications for conservation of a stream dwelling amphibian in the arid Southwestern U.S.","docAbstract":"

The Arizona Toad (Anaxyrus microscaphus) is restricted to riverine corridors and adjacent uplands in the arid southwestern United States. As with numerous amphibians worldwide, populations are declining and face various known or suspected threats, from disease to habitat modification resulting from climate change. The Arizona Toad has been petitioned to be listed under the U.S. Endangered Species Act and was considered “warranted but precluded” citing the need for additional information – particularly regarding natural history (e.g., connectivity and dispersal ability). The objectives of this study were to characterize population structure and genetic diversity across the species’ range. We used reduced-representation genomic sequencing to genotype 3,601 single nucleotide polymorphisms in 99 Arizona Toads from ten drainages across its range. Multiple analytical methods revealed two distinct genetic groups bisected by the Colorado River; one in the northwestern portion of the range in southwestern Utah and eastern Nevada and the other in the southeastern portion of the range in central and eastern Arizona and New Mexico. We also found subtle substructure within both groups, particularly in central Arizona where toads at lower elevations were less connected than those at higher elevations. The northern and southern parts of the Arizona Toad range are not well connected genetically and could be managed as separate units. Further, these data could be used to identify source populations for assisted migration or translocations to support small or potentially declining populations.

","language":"English","publisher":"Springer","doi":"10.1007/s10592-024-01606-w","usgsCitation":"Oyler-McCance, S.J., Ryan, M.J., Sullivan, B.K., Fike, J., Cornman, R.S., Giermakowski, J.T., Zimmerman, S.J., Harrow, R.L., Hedwell, S., Hossack, B., Latella, I., Lovish, R.E., Siefken, S., Sigafus, B., and Muths, E., 2024, Genetic Connectivity in the Arizona toad (Anaxyrus microscaphus): implications for conservation of a stream dwelling amphibian in the arid Southwestern U.S.: Conservation Genetics, v. 25, p. 835-848, https://doi.org/10.1007/s10592-024-01606-w.","productDescription":"14 p.","startPage":"835","endPage":"848","ipdsId":"IP-154561","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":440011,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-024-01606-w","text":"Publisher Index Page"},{"id":427560,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada, New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.0000406770512,\n 38.468528390736736\n ],\n [\n -118.0000406770512,\n 30.615684527609147\n ],\n [\n -106.80078434694725,\n 30.615684527609147\n ],\n [\n -106.80078434694725,\n 38.468528390736736\n ],\n [\n -118.0000406770512,\n 38.468528390736736\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"25","noUsgsAuthors":false,"publicationDate":"2024-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":898325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryan, Mason J.","contributorId":266045,"corporation":false,"usgs":false,"family":"Ryan","given":"Mason","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":898326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullivan, Brian K.","contributorId":177225,"corporation":false,"usgs":false,"family":"Sullivan","given":"Brian","email":"","middleInitial":"K.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":898327,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":898328,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":898329,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Giermakowski, J. T.","contributorId":335421,"corporation":false,"usgs":false,"family":"Giermakowski","given":"J.","email":"","middleInitial":"T.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":898330,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zimmerman, Shawna J 0000-0003-3394-6102 szimmerman@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-6102","contributorId":238076,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Shawna","email":"szimmerman@usgs.gov","middleInitial":"J","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":898331,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Harrow, R. L.","contributorId":335422,"corporation":false,"usgs":false,"family":"Harrow","given":"R.","email":"","middleInitial":"L.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":898332,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hedwell, S.J.","contributorId":335423,"corporation":false,"usgs":false,"family":"Hedwell","given":"S.J.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":898333,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hossack, Blake R. 0000-0001-7456-9564","orcid":"https://orcid.org/0000-0001-7456-9564","contributorId":229347,"corporation":false,"usgs":true,"family":"Hossack","given":"Blake R.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":898334,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Latella, I. M.","contributorId":335424,"corporation":false,"usgs":false,"family":"Latella","given":"I. M.","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":898335,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lovish, R. E.","contributorId":335425,"corporation":false,"usgs":false,"family":"Lovish","given":"R.","email":"","middleInitial":"E.","affiliations":[{"id":80401,"text":"Naval Facilities Engineering Systems Command Southwest","active":true,"usgs":false}],"preferred":false,"id":898336,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Siefken, S.","contributorId":335427,"corporation":false,"usgs":false,"family":"Siefken","given":"S.","affiliations":[{"id":65571,"text":"Utah Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":898337,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Sigafus, Brent H. 0000-0002-7422-8927","orcid":"https://orcid.org/0000-0002-7422-8927","contributorId":264740,"corporation":false,"usgs":true,"family":"Sigafus","given":"Brent H.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":898338,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":245922,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":898339,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70251912,"text":"70251912 - 2024 - Summary of the discussions during 2023 SSA topical meeting on “Future Directions for Physics-Based Ground Motion Modeling”","interactions":[],"lastModifiedDate":"2026-03-25T16:02:49.42664","indexId":"70251912","displayToPublicDate":"2024-03-29T11:01:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Summary of the discussions during 2023 SSA topical meeting on “Future Directions for Physics-Based Ground Motion Modeling”","docAbstract":"

The Seismological Society of America (SSA) topical conference, Future Directions for Physics‐Based Ground Motion Modeling, was held in Vancouver, Canada, on 10–13 October 2023, co‐sponsored by the Seismological Society of Japan and co‐chaired by Annemarie Baltay of the U.S. Geological Survey and Hiroshi Kawase of Kyoto University. This meeting brought together many researchers and practitioners interested in modeling, observing, and utilizing ground‐motion models (GMMs). Scientists gathered to discuss complex kinematic and dynamic rupture simulation approaches, empirical representations of the earthquake source, site and path effects, physical modeling of the recording site, challenges for model extrapolation, and overall prediction accuracy and simulation validation. The four‐day meeting included many posters as well as oral presentations, with each session followed by lively discussion sections, upon which we report here.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240084","usgsCitation":"Kawase, H., and Baltay Sundstrom, A.S., 2024, Summary of the discussions during 2023 SSA topical meeting on “Future Directions for Physics-Based Ground Motion Modeling”: Seismological Research Letters, v. 95, no. 3, p. 2026-2030, https://doi.org/10.1785/0220240084.","productDescription":"5 p.","startPage":"2026","endPage":"2030","ipdsId":"IP-163467","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":501503,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Kawase, Hiroshi","contributorId":267868,"corporation":false,"usgs":false,"family":"Kawase","given":"Hiroshi","email":"","affiliations":[{"id":36662,"text":"Kyoto University","active":true,"usgs":false}],"preferred":false,"id":896049,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":896050,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70252670,"text":"70252670 - 2024 - Post-wildfire debris flows","interactions":[],"lastModifiedDate":"2024-04-02T15:03:04.719071","indexId":"70252670","displayToPublicDate":"2024-03-29T10:00:07","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Post-wildfire debris flows","docAbstract":"

Post-wildfire debris flows pose severe hazards to communities and infrastructure near and within recently burned mountainous terrain. Intense heat of wildfires changes the runoff characteristics of a watershed by combusting the vegetative canopy, litter, and duff, introducing ash into the soil and creating water repellant soils. Following wildfire, rainfall on bare ground is less able to infiltrate into the fire-altered soils and overland flow is less impeded by vegetation. Rainfall runoff in recently burned areas can erode hillslopes owing to the removal of soil binding organic matter near the soil surface by fire. In channels, loose, dry-ravel deposits composed of sand and gravel are readily entrained by concentrated runoff in channels. Entrainment of soil on hillslopes and in channels bulks up the sediment concentration of the rainfall runoff to generate debris flows capable of transporting boulders and large woody debris. Post-wildfire debris flows can be triggered by rainfall conditions that would typically produce little runoff during unburned conditions. The primary rainfall trigger for post-wildfire debris flows is high intensity rainfall during short duration convective rainstorms or periods of high rainfall intensity embedded within a long-duration frontal storm. Numerous observations of debris flows triggered by storms lasting less than an hour following periods of little to no rainfall indicate that antecedent rainfall is not a requirement for initiation of post-wildfire debris flows. Post-wildfire debris-flow hazard assessment entails estimating probability and magnitude of debris flows in the burned area, estimating debris-flow runout and intensity, and defining rainfall intensity-duration thresholds for debris-flow initiation. In the United States, probability and magnitude is estimated using empirically derived models largely based on data collected in southern California. The models provide maps to identify watersheds and drainage paths where post-wildfire hazards are most pronounced. Rainfall intensity-duration thresholds can be incorporated into flood hazard forecasting tools. Currently, work is underway to identify how to best implement debris-flow runout models in burned areas with efficiency and accuracy. Post-wildfire debris flows have been a long-recognized process in the Transverse Ranges of southern California; however, climate change is driving more frequent wildfires to burn more mountainous terrain throughout the western United States and worldwide. As a result, post-wildfire debris flows are becoming a more common threat in areas where they were once infrequent. As the threat of post-wildfire debris flow expands into new areas, evaluating the hazard becomes challenging because the degree to which wildfire increases debris-flow susceptibility varies from region to region. This chapter summarizes the knowledge to date for evaluating post-wildfire debris-flow susceptibility and hazard assessment. We summarize the characteristics of wildfire burn severity, topography, underlying soil and geology, and rainfall conditions that contribute to making a watershed most likely to produce post-wildfire debris flows. Methods for hazard assessment in the United States and other countries are summarized. We highlight knowledge gaps for how post-wildfire debris-flow susceptibility varies throughout the western United States and worldwide and identify research needs to improve hazard assessment methods in different geographies.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in Debris-flow Science and Practice","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-48691-3_11","usgsCitation":"Gartner, J., Kean, J.W., Rengers, F.K., McCoy, S., Oakley, N.S., and Sheridan, G.J., 2024, Post-wildfire debris flows, chap. of Advances in Debris-flow Science and Practice, p. 309-345, https://doi.org/10.1007/978-3-031-48691-3_11.","productDescription":"37 p.","startPage":"309","endPage":"345","ipdsId":"IP-144910","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":427315,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Gartner, Joseph","contributorId":335250,"corporation":false,"usgs":false,"family":"Gartner","given":"Joseph","affiliations":[{"id":78476,"text":"BGC Engineering","active":true,"usgs":false}],"preferred":false,"id":897864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897865,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":897866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCoy, Scott W.","contributorId":267182,"corporation":false,"usgs":false,"family":"McCoy","given":"Scott W.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":897867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oakley, Nina S.","contributorId":197885,"corporation":false,"usgs":false,"family":"Oakley","given":"Nina","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":897868,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sheridan, Gary J.","contributorId":210293,"corporation":false,"usgs":false,"family":"Sheridan","given":"Gary","email":"","middleInitial":"J.","affiliations":[{"id":13336,"text":"University of Melbourne","active":true,"usgs":false}],"preferred":false,"id":897869,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261888,"text":"70261888 - 2024 - Lahars: Origins, behavior and hazards","interactions":[],"lastModifiedDate":"2024-12-31T16:01:22.063764","indexId":"70261888","displayToPublicDate":"2024-03-29T09:58:59","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Lahars: Origins, behavior and hazards","docAbstract":"

Volcanic debris flows that originate at potentially active volcanoes are called lahars. Lahars are like debris flows in non-volcanic terrain but can most notably differ in origin and size. Primary lahars occur during eruptions and may have novel origins such as turbulent mixing of hot rock moving across ice- and snow-clad volcanoes and eruptions through crater lakes. Lahars range in volume to more than a cubic kilometer (109 m3), with the biggest ones caused by huge deep-seated flank collapses of water-saturated edifice rock. Because they can be so voluminous, can have high water contents, and commonly can be clay rich, these lahars can travel tens to even hundreds of kilometers. Long transport causes evolution of flow types from flood flow to hyperconcentrated flow to debris flow. Lahars capable of traveling far downstream are commonly sufficiently liquefied that they drape valley slopes and leave behind thin deposits as they pass downstream. Only in valley bottoms are lahars likely to emplace thick deposits, and even there the deposits are apt to be much thinner than peak flow depths. Flows with long transport change character with time and distance downstream. Deposits, especially those in valley bottoms, can accrete during intervals that represent a significant proportion of the time it takes the flow to pass (typically minutes). The combination of flows changing character and their progressive accretion imposes distinctive characteristics on their deposits such as normal and inverse grading. Historically, lahars have caused thousands of fatalities and destroyed entire towns. Perhaps the most disastrous known lahar occurred in 1985 at Nevado del Ruiz in Colombia and killed more than 23,000 people. Since that disaster, an increasing awareness of lahar hazards has led to efforts to mitigate them. In recent decades, improved land-use decisions, monitoring and communication have improved hazard responses and saved many lives. Lahar hazard maps and development of lahar inundation models have helped planners and people at risk to better understand the nature of the risk owing to lahars.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in debris-flow science and practice","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-48691-3_12","usgsCitation":"Vallance, J.W., 2024, Lahars: Origins, behavior and hazards, chap. of Advances in debris-flow science and practice, p. 347-381, https://doi.org/10.1007/978-3-031-48691-3_12.","productDescription":"35 p.","startPage":"347","endPage":"381","ipdsId":"IP-149909","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":465567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-03-29","publicationStatus":"PW","contributors":{"editors":[{"text":"Jakob, Matthias","contributorId":82179,"corporation":false,"usgs":true,"family":"Jakob","given":"Matthias","email":"","affiliations":[],"preferred":false,"id":922171,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"McDougall, Scott","contributorId":194908,"corporation":false,"usgs":false,"family":"McDougall","given":"Scott","email":"","affiliations":[],"preferred":false,"id":922172,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Santi, Paul","contributorId":347682,"corporation":false,"usgs":false,"family":"Santi","given":"Paul","affiliations":[],"preferred":false,"id":922173,"contributorType":{"id":2,"text":"Editors"},"rank":3}],"authors":[{"text":"Vallance, James W. 0000-0002-3083-5469 jvallance@usgs.gov","orcid":"https://orcid.org/0000-0002-3083-5469","contributorId":547,"corporation":false,"usgs":true,"family":"Vallance","given":"James","email":"jvallance@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":922161,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70252776,"text":"70252776 - 2024 - How diverse is the toolbox? A review of management actions to conserve or restore coregonines","interactions":[],"lastModifiedDate":"2024-04-05T14:26:00.205215","indexId":"70252776","displayToPublicDate":"2024-03-29T09:21:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17451,"text":"International Journal of Limnology","active":true,"publicationSubtype":{"id":10}},"title":"How diverse is the toolbox? A review of management actions to conserve or restore coregonines","docAbstract":"

Over the past centuries, coregonines have been exposed to a range of stressors that have led to extinctions, extirpations, and speciation reversals. Given that some populations remain at risk and fishery managers have begun restoring coregonines where they have been extirpated, we reviewed the primary and gray literature to describe the diversity of coregonine restoration or conservation actions that have been previously used. Although stocking of hatchery-reared fish has been commonly used for supplementing existing coregonine fisheries, we considered stocking efforts only with specifically conservation or restoration goals. Likewise, conservation-driven efforts of translocation were not widespread, except in the United Kingdom for the creation of refuge populations to supplement the distribution of declining stocks. Habitat restoration efforts have occurred more broadly and have included improving spawning habitat, connectivity, or nutrient concentrations. Although harvest regulations are commonly used to regulate coregonine fisheries, we found fewer examples of the creation of protected areas or outright closures. Finally, interactions with invasive species can be a considerable stressor, yet we found relatively few examples of invasive species control undertaken for the direct benefit of coregonines. In conclusion, our review of the literature and prior Coregonid symposia revealed relatively limited direct emphasis on coregonine conservation or restoration relative to more traditional fishery approaches (e.g., supplementation of fisheries, stock assessment) or studying life history and genetics. Ideally, by providing this broad review of conservation and restoration strategies, future management efforts will benefit from learning about a greater diversity of potential actions that could be locally applied.

","language":"English","publisher":"EDP Sciences","doi":"10.1051/limn/2024002","usgsCitation":"Bunnell, D., Anneville, O., Baer, J., Bean, C., Kahlilainen, K., Sandstrom, A., Selz, O., Vonlanthen, P., Wanzenbock, J., and Weidel, B., 2024, How diverse is the toolbox? A review of management actions to conserve or restore coregonines: International Journal of Limnology, v. 60, 5, 16 p., https://doi.org/10.1051/limn/2024002.","productDescription":"5, 16 p.","ipdsId":"IP-157646","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":440017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1051/limn/2024002","text":"Publisher Index Page"},{"id":427512,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","noUsgsAuthors":false,"publicationDate":"2024-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Bunnell, David 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":217344,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":898186,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anneville, Orlane","contributorId":147752,"corporation":false,"usgs":false,"family":"Anneville","given":"Orlane","affiliations":[{"id":16922,"text":"INRA UMR CARRTEL, Thonon-les-Bains, France","active":true,"usgs":false}],"preferred":false,"id":898187,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baer, Jan","contributorId":335369,"corporation":false,"usgs":false,"family":"Baer","given":"Jan","email":"","affiliations":[{"id":80381,"text":"Fisheries Research Station Baden-Württemberg, Langenargen, Germany","active":true,"usgs":false}],"preferred":false,"id":898188,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bean, Colin","contributorId":335370,"corporation":false,"usgs":false,"family":"Bean","given":"Colin","email":"","affiliations":[{"id":80382,"text":"University of Glasgow, Scotland","active":true,"usgs":false}],"preferred":false,"id":898189,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kahlilainen, Kimmo","contributorId":335371,"corporation":false,"usgs":false,"family":"Kahlilainen","given":"Kimmo","email":"","affiliations":[{"id":29870,"text":"University of Helsinki, Finland","active":true,"usgs":false}],"preferred":false,"id":898190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sandstrom, Alfred","contributorId":335372,"corporation":false,"usgs":false,"family":"Sandstrom","given":"Alfred","email":"","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":898191,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Selz, Oliver","contributorId":335373,"corporation":false,"usgs":false,"family":"Selz","given":"Oliver","email":"","affiliations":[{"id":80385,"text":"Federal Office for the Environment, Switzerland","active":true,"usgs":false}],"preferred":false,"id":898192,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vonlanthen, Pascal","contributorId":335374,"corporation":false,"usgs":false,"family":"Vonlanthen","given":"Pascal","email":"","affiliations":[{"id":80386,"text":"Aquabios, Switzerland","active":true,"usgs":false}],"preferred":false,"id":898193,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wanzenbock, Josef","contributorId":335375,"corporation":false,"usgs":false,"family":"Wanzenbock","given":"Josef","email":"","affiliations":[{"id":29872,"text":"University of Innsbruck, Austria","active":true,"usgs":false}],"preferred":false,"id":898194,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Weidel, Brian 0000-0001-6095-2773 bweidel@usgs.gov","orcid":"https://orcid.org/0000-0001-6095-2773","contributorId":2485,"corporation":false,"usgs":true,"family":"Weidel","given":"Brian","email":"bweidel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":898195,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70252633,"text":"70252633 - 2024 - Paleogene sedimentary basin development in southern Nevada, USA","interactions":[],"lastModifiedDate":"2024-04-23T15:21:17.583267","indexId":"70252633","displayToPublicDate":"2024-03-29T09:07:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2626,"text":"Lithosphere","active":true,"publicationSubtype":{"id":10}},"title":"Paleogene sedimentary basin development in southern Nevada, USA","docAbstract":"

The cause of the transition from Mesozoic and early Cenozoic crustal shortening to later extension in the western United States is debated. In many parts of the extant Sevier hinterland, now the Basin and Range Province, the sedimentary sections that provide the most direct record of that transition remain poorly studied and lack meaningful age control. In this paper, we present field characterization supported by U-Pb detrital zircon and 40Ar/39Ar feldspar ages for ten sections across southern Nevada. We describe a newly identified basin, here named the Fallout Hills basin, which preserves >1.0 km of sedimentary deposits as old as middle Eocene, ca. 48 Ma. Deposition occurred during the 20 m.y. (million years) before the 27.60 ± 0.03 Ma Monotony Tuff blanketed much of south-central Nevada, based on 47.6 Ma and younger detrital zircon maximum depositional ages (MDAs) from near the Pintwater and Spotted Ranges. Elsewhere in southern Nevada, prevolcanic Cenozoic strata commonly form thinner (~100 m), isolated exposures that yield detrital zircon MDAs ≤10 m.y. older than (and in some cases essentially the same age as) the ca. 27–28 Ma ignimbrites that cap the sections. A variable but overall upward-fining facies pattern is observed in both the Fallout Hills basin and the thinner sections. These localized patterns imply topographic changes that are unlikely to reflect plate-scale processes and are not consistent with large-magnitude extension. Instead, variable uplift due to magmatism combined with antecedent topographic relief from thrust faulting and subsequent erosion likely provided accommodation for these deposits.

","language":"English","publisher":"GeoScienceWorld","doi":"10.2113/2024/lithosphere_2023_225","usgsCitation":"Lundstern, J., Schwartz, T.M., Mercer, C.M., Colgan, J.P., Workman, J.B., and Morgan, L.E., 2024, Paleogene sedimentary basin development in southern Nevada, USA: Lithosphere, v. 2024, no. 1, p. 1-34, https://doi.org/10.2113/2024/lithosphere_2023_225.","productDescription":"34 p.","startPage":"1","endPage":"34","ipdsId":"IP-148278","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":440020,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.2113/2024/lithosphere_2023_225","text":"Publisher Index Page"},{"id":435012,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JCU656","text":"USGS data release","linkHelpText":"U-Pb detrital zircon data and Ar feldspar data from middle Cenozoic sandstones and volcanic tuffs from southern Nevada, USA"},{"id":427307,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.05180212571499,\n 38\n ],\n [\n -118.05180212571499,\n 36\n ],\n [\n -113.78852158610961,\n 36\n ],\n [\n -113.78852158610961,\n 38\n ],\n [\n -118.05180212571499,\n 38\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2024","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Lundstern, Jens-Erik 0000-0003-0000-8013","orcid":"https://orcid.org/0000-0003-0000-8013","contributorId":264189,"corporation":false,"usgs":true,"family":"Lundstern","given":"Jens-Erik","email":"","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":897774,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schwartz, Theresa Maude 0000-0001-6606-4072","orcid":"https://orcid.org/0000-0001-6606-4072","contributorId":245180,"corporation":false,"usgs":true,"family":"Schwartz","given":"Theresa","email":"","middleInitial":"Maude","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":897775,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mercer, Cameron Mark 0000-0003-0534-848X","orcid":"https://orcid.org/0000-0003-0534-848X","contributorId":301880,"corporation":false,"usgs":true,"family":"Mercer","given":"Cameron","email":"","middleInitial":"Mark","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":897776,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colgan, Joseph P. 0000-0001-6671-1436 jcolgan@usgs.gov","orcid":"https://orcid.org/0000-0001-6671-1436","contributorId":1649,"corporation":false,"usgs":true,"family":"Colgan","given":"Joseph","email":"jcolgan@usgs.gov","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":897777,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Workman, Jeremiah B. 0000-0001-7816-6420 jworkman@usgs.gov","orcid":"https://orcid.org/0000-0001-7816-6420","contributorId":714,"corporation":false,"usgs":true,"family":"Workman","given":"Jeremiah","email":"jworkman@usgs.gov","middleInitial":"B.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":897778,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":897779,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70254483,"text":"70254483 - 2024 - Evaluation of data collected by Guam Division of Aquatic and Wildlife Resources during population establishment and monitoring of ko'ko' (Hypotaenidia owstoni) on Rota, Commonwealth of the Northern Mariana Islands, and wildlife monitoring datasets on Cocos Island and Guam","interactions":[],"lastModifiedDate":"2024-05-28T12:03:32.945188","indexId":"70254483","displayToPublicDate":"2024-03-29T07:01:26","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Evaluation of data collected by Guam Division of Aquatic and Wildlife Resources during population establishment and monitoring of ko'ko' (Hypotaenidia owstoni) on Rota, Commonwealth of the Northern Mariana Islands, and wildlife monitoring datasets on Cocos Island and Guam","docAbstract":"
Efforts to recover the critically endangered ko’ko’ (Guam rail, Hypotaenidia owstoni) through establishing an experimental population on the island of Rota in the Commonwealth of the Northern Mariana Islands have been ongoing for three decades. The U.S. Geological Survey collaborated with the Guam Division of Aquatic and Wildlife Resources and the Government of Guam to evaluate whether objectives for three projects can be met with current protocols. The aim of this report was to evaluate existing data provided on (1) ko’ko’ population monitoring on Rota; (2) ko’ko’ population establishment on Rota; plus (3) evaluation of three wildlife monitoring datasets for ko’ko’ on Cocos Island, endangered pulattat (Mariana common moorhen, Gallinula chloropus guami) on Guam, and introduced ungulate species on Guam. Data sources included playback call surveys, point count surveys, release events and studbook information, telemetry of radio-marked birds, as well as landcover classes, storm events, and Oceanic Niño Index information to relate environmental factors to ko’ko’ persistence. Major findings were that reaching objectives was constrained by limited data availability and quality. Suggestions for future study include developing detailed protocols for surveys and data collection, standardizing training procedures for observers, improving data organization and archiving, using methods like distance sampling that account for imperfect detection, and collecting additional data on nests and prey resources to understand drivers of ko’ko’ density and survival. While the current data provide a preliminary assessment, improved sampling designs and consistent protocols are needed to fully address objectives related to the recovery of the ko’ko’. The report provides a roadmap for enhancing data collection and analysis to support management decisions and reach conservation translocation goals about this endangered species and related projects.
","language":"English","publisher":"University of Hawai‘i at Hilo","usgsCitation":"Camp, R.J., Nash, S.A., and Paxton, K.L., 2024, Evaluation of data collected by Guam Division of Aquatic and Wildlife Resources during population establishment and monitoring of ko'ko' (Hypotaenidia owstoni) on Rota, Commonwealth of the Northern Mariana Islands, and wildlife monitoring datasets on Cocos Island and Guam, v. 109, i, 97 p.","productDescription":"i, 97 p.","ipdsId":"IP-158804","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":429323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":429322,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/5391"}],"country":"United States","otherGeospatial":"Guam, Mariana Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 144.36831185740562,\n 12.968139662029017\n ],\n [\n 146.33486459178124,\n 12.968139662029017\n ],\n [\n 146.33486459178124,\n 15.534122254722561\n ],\n [\n 144.36831185740562,\n 15.534122254722561\n ],\n [\n 144.36831185740562,\n 12.968139662029017\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"109","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":901555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nash, Sarah A B","contributorId":336952,"corporation":false,"usgs":false,"family":"Nash","given":"Sarah","email":"","middleInitial":"A B","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":901556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Kristina L. 0000-0003-2321-5090","orcid":"https://orcid.org/0000-0003-2321-5090","contributorId":41917,"corporation":false,"usgs":false,"family":"Paxton","given":"Kristina","email":"","middleInitial":"L.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false},{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":901557,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70255663,"text":"70255663 - 2024 - A new database of giant impacts over a wide range of masses and with material strength: A first analysis of outcomes","interactions":[],"lastModifiedDate":"2024-06-27T12:08:36.445338","indexId":"70255663","displayToPublicDate":"2024-03-29T06:59:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8607,"text":"The Planetary Science Journal","active":true,"publicationSubtype":{"id":10}},"title":"A new database of giant impacts over a wide range of masses and with material strength: A first analysis of outcomes","docAbstract":"

In the late stage of terrestrial planet formation, planets are predicted to undergo pairwise collisions known as giant impacts. Here, we present a high-resolution database of giant impacts for differentiated colliding bodies of iron–silicate composition, with target masses ranging from 1 × 10−4M⊕ up to super-Earths (5 M⊕). We vary the impactor-to-target mass ratio, core–mantle (iron–silicate) fraction, impact velocity, and impact angle. Strength in the form of friction is included in all simulations. We find that, due to strength, the collisions with bodies smaller than about 2 ×10−3M⊕ can result in irregular shapes, compound-core structures, and captured binaries. We observe that the characteristic escaping velocity of smaller remnants (debris) is approximately half of the impact velocity, significantly faster than currently assumed in N-body simulations of planet formation. Incorporating these results in N-body planet formation studies would provide more realistic debris–debris and debris–planet interactions.

","language":"English","publisher":"IOP Publishing","doi":"10.3847/PSJ/ad2178","usgsCitation":"Emsenhuber, A., Asphaug, E., Cambioni, S., Gabriel, T.S., Schwartz, S.R., Melikyan, R.E., and Denton, C.A., 2024, A new database of giant impacts over a wide range of masses and with material strength: A first analysis of outcomes: The Planetary Science Journal, v. 5, 59, 20 p., https://doi.org/10.3847/PSJ/ad2178.","productDescription":"59, 20 p.","ipdsId":"IP-141202","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":440022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3847/psj/ad2178","text":"Publisher Index Page"},{"id":430563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2024-03-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Emsenhuber, Alexandre","contributorId":339775,"corporation":false,"usgs":false,"family":"Emsenhuber","given":"Alexandre","email":"","affiliations":[{"id":81400,"text":"Ludwig Maximillian University Munchen","active":true,"usgs":false}],"preferred":false,"id":905066,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Asphaug, Erik","contributorId":211376,"corporation":false,"usgs":false,"family":"Asphaug","given":"Erik","email":"","affiliations":[{"id":24796,"text":"NASA Ames Research Center","active":true,"usgs":false}],"preferred":false,"id":905067,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cambioni, Saverio 0000-0001-6294-4523","orcid":"https://orcid.org/0000-0001-6294-4523","contributorId":304708,"corporation":false,"usgs":false,"family":"Cambioni","given":"Saverio","email":"","affiliations":[{"id":66148,"text":"Massachusettes Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":905068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gabriel, Travis S.J. 0000-0002-9767-4153","orcid":"https://orcid.org/0000-0002-9767-4153","contributorId":267903,"corporation":false,"usgs":true,"family":"Gabriel","given":"Travis","middleInitial":"S.J.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":905069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwartz, Stephen R.","contributorId":339776,"corporation":false,"usgs":false,"family":"Schwartz","given":"Stephen","email":"","middleInitial":"R.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":905070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Melikyan, Robert E.","contributorId":339777,"corporation":false,"usgs":false,"family":"Melikyan","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":905071,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Denton, C. Adeene","contributorId":339778,"corporation":false,"usgs":false,"family":"Denton","given":"C.","email":"","middleInitial":"Adeene","affiliations":[],"preferred":false,"id":905073,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}