Different theoretical frameworks have been invoked to guide the study of virus evolution. Three of the more prominent ones are (i) the evolution of virulence, (ii) life history theory, and (iii) the generalism–specialism dichotomy. All involve purported tradeoffs between traits that define the evolvability and constraint of virus-associated phenotypes. However, as popular as these frameworks are, there is a surprising paucity of direct laboratory tests of the frameworks that support their utility as broadly applicable theoretical pillars that can guide our understanding of disease evolution. In this study, we conduct a meta-analysis of direct experimental evidence for these three frameworks across several widely studied virus–host systems: plant viruses, fungal viruses, animal viruses, and bacteriophages. We extracted 60 datasets from 28 studies and found a range of relationships between traits in different analysis categories (e.g., frameworks, virus–host systems). Our work demonstrates that direct evidence for relationships between traits is highly idiosyncratic and specific to the host–virus system and theoretical framework. Consequently, scientists researching viral pathogens from different taxonomic groups might reconsider their allegiance to these canons as the basis for expectation, explanation, or prediction. Future efforts could benefit from consistent definitions, and from developing frameworks that are compatible with the evidence and apply to particular biological and ecological contexts.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ve/veae105","usgsCitation":"Kabengele, K., Turner, W.C., Turner, P., and Ogbunugafor, C., 2024, A meta-analysis highlights the idiosyncratic nature of tradeoffs in laboratory models of virus evolution: Virus Evolution, v. 10, no. 1, veae105, 13 p., https://doi.org/10.1093/ve/veae105.","productDescription":"veae105, 13 p.","ipdsId":"IP-158849","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466723,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ve/veae105","text":"Publisher Index Page"},{"id":465990,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Kabengele, Ketty","contributorId":347923,"corporation":false,"usgs":false,"family":"Kabengele","given":"Ketty","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":922747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922749,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Paul E.","contributorId":348136,"corporation":false,"usgs":false,"family":"Turner","given":"Paul E.","affiliations":[],"preferred":false,"id":922748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ogbunugafor, C. Brandon","contributorId":347925,"corporation":false,"usgs":false,"family":"Ogbunugafor","given":"C. Brandon","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":922750,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70270692,"text":"70270692 - 2024 - Cumulative effects assessment of restoration programs: A framework to assess achievement of regional and programmatic goals","interactions":[],"lastModifiedDate":"2025-08-22T14:35:41.354968","indexId":"70270692","displayToPublicDate":"2024-12-06T09:27:45","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"CSS-162-2024","title":"Cumulative effects assessment of restoration programs: A framework to assess achievement of regional and programmatic goals","docAbstract":"Increasing global investments focused on conservation and restoration of natural resources aim to address challenges presented by climate change and biodiversity loss. Many restoration and conservation program assessments examine individual actions, assuming additive effects only, failing to acknowledge or capture potential synergistic or antagonistic effects across a region or program. Cumulative effects assessments (CEA) provide a more ecologically relevant framework to assess the outcome of large restoration efforts. These assessments are critical given the increasing frequency of projects and the potential for cross-project interaction, yet there are few efforts to document the presence and patterns of cumulative effects for large-scale restoration programs. Understanding both the individual and cumulative effects of projects within a large restoration program can also inform the conceptualization of future large-scale restoration efforts by enabling the full suite of outcomes to be evaluated and considered against no-action scenarios in future planning. Here, we describe the development of a conceptual framework for CEA from large-scale restoration efforts.
","language":"English","publisher":"U.S. Fish and Wildlife Service","doi":"10.3996/css86719022","usgsCitation":"Davenport, T.M., Comba, D.A., Dalyander, P.S., Enwright, N., Palmsten, M.L., Steyer, G., and La Peyre, M., 2024, Cumulative effects assessment of restoration programs: A framework to assess achievement of regional and programmatic goals: Cooperator Science Series CSS-162-2024, ii, 69 p., https://doi.org/10.3996/css86719022.","productDescription":"ii, 69 p.","ipdsId":"IP-167879","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.5,\n 30.75\n ],\n [\n -88.5,\n 30\n ],\n [\n -86,\n 30\n ],\n [\n -86,\n 30.75\n ],\n [\n -88.5,\n 30.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -86,\n 30.349874048713147\n ],\n [\n -86,\n 29.55882236605413\n ],\n [\n -84.45942059894452,\n 29.55882236605413\n ],\n [\n -84.45942059894452,\n 30.349874048713147\n ],\n [\n -86,\n 30.349874048713147\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2024-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Davenport, T. 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S.","contributorId":360134,"corporation":false,"usgs":false,"family":"Dalyander","given":"P.","middleInitial":"S.","affiliations":[{"id":13499,"text":"The Water Institute of the Gulf","active":true,"usgs":false}],"preferred":false,"id":946828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":217766,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":946829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":946830,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steyer, Gregory 0000-0001-7231-0110","orcid":"https://orcid.org/0000-0001-7231-0110","contributorId":218813,"corporation":false,"usgs":true,"family":"Steyer","given":"Gregory","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":946831,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":946832,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70265678,"text":"70265678 - 2024 - Disparities in Perimyotis subflavus body mass between cave and culvert hibernacula in Georgia, USA","interactions":[],"lastModifiedDate":"2025-04-14T14:27:30.505801","indexId":"70265678","displayToPublicDate":"2024-12-06T09:20:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18338,"text":"Ecology and Evololution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Disparities in Perimyotis subflavus body mass between cave and culvert hibernacula in Georgia, USA","title":"Disparities in Perimyotis subflavus body mass between cave and culvert hibernacula in Georgia, USA","docAbstract":"The tricolored bat (Perimyotis subflavus), once common in the eastern United States, has experienced significant mortality due to white-nose syndrome (WNS), a fungal disease that primarily affects bats hibernating in caves and mines. In coastal regions of the southeastern United States, where caves and mines are scarce, tricolored bats often use roadway culverts as hibernacula. However, WNS infection dynamics in culverts are poorly understood. Previous research indicated that bats with higher body mass at the onset of hibernation have a higher probability of surviving repeated arousal events from WNS. Therefore, we compared tricolored bat winter body mass between cave and culvert hibernacula and identified culvert characteristics influencing body mass during hibernation in Georgia, USA. From 2018 to 2022, we measured body mass of 754 individuals in early and late hibernation across 32 culverts (n = 497) and four caves (n = 257). Our study revealed a southward spread of the fungus over multiple years, with the first confirmed case of WNS in a Georgia culvert in 2022. Overall, tricolored bats in caves weighed more in early hibernation than those in culverts, but bats in culverts weighed more in late hibernation. Across all sites, female tricolored bats entering and leaving hibernation had greater mass than males but lost more mass during hibernation, possibly due to differences in torpor-arousal patterns and WNS infection rates. Additionally, all bats lost more mass in longer culverts. Understanding culvert characteristics affecting bat body mass will inform management strategies to mitigate WNS effects. Identifying risk factors for specific tricolored bat hibernacula can guide managers on where to focus winter WNS monitoring efforts and potential treatments.
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Georgia","active":true,"usgs":false}],"preferred":false,"id":933244,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Castleberry, S.B.","contributorId":353282,"corporation":false,"usgs":false,"family":"Castleberry","given":"S.B.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":933245,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70264093,"text":"70264093 - 2024 - Gray wolf breeders are more vulnerable to harvest during the breeding season","interactions":[],"lastModifiedDate":"2025-03-06T16:04:41.474895","indexId":"70264093","displayToPublicDate":"2024-12-06T09:00:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3779,"text":"Wildlife Society Bulletin","onlineIssn":"1938-5463","printIssn":"0091-7648","active":true,"publicationSubtype":{"id":10}},"title":"Gray wolf breeders are more vulnerable to harvest during the breeding season","docAbstract":"In cooperatively breeding carnivores, breeders are vital to perpetuating the group; the death or removal of an individual breeder can greatly affect group composition, genetic content, and short-term population growth. Understanding the number of breeders harvested and timing of harvest can increase our knowledge of how mortality affects groups of cooperative breeders. Gray wolves (Canis lupus) in Idaho, USA, are exposed to annual harvest and are an ideal species for studying the effects of harvest on breeder turnover. We combined genotypes from tissue samples of harvested wolves with parentage analyses and cementum annuli ages and estimated when and how many breeding wolves were harvested. We genotyped and aged 229 adults and 203 pups using tissue and tooth samples from wolves harvested between 2014 and 2016. We identified a minimum count of 33 breeders in the harvest and found that they were disproportionately harvested more during the breeding season. We estimated that a minimum of ~14.5% of adult wolves harvested annually, or approximately 1 in 7, were breeders. We posit their behavior during breeding season may increase their vulnerability to harvest. By linking animal life history with vulnerability to human-caused mortality we show that managers could structure harvest seasons so there is less overlap with wolves’ breeding season if there is concern about the demographic consequences of harvesting breeders.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/wsb.1553","usgsCitation":"Rebholz, P.F., Waits, L., and Ausband, D.E., 2024, Gray wolf breeders are more vulnerable to harvest during the breeding season: Wildlife Society Bulletin, v. 48, no. 4, e1553, 9 p., https://doi.org/10.1002/wsb.1553.","productDescription":"e1553, 9 p.","ipdsId":"IP-147900","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wsb.1553","text":"Publisher Index Page"},{"id":482975,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Cooperative Research Units Program: Status report on scientific research on the monarch butterfly (Danaus plexippus)","title":"U.S. Geological Survey Cooperative Research Units Program: Status report on scientific research on the monarch butterfly (Danaus plexippus)","docAbstract":"No abstract available.
","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Mock, J.M., and Mawdsley, J.R., 2024, U.S. Geological Survey Cooperative Research Units Program: Status report on scientific research on the monarch butterfly (Danaus plexippus): Cooperator Science Series 163-2024, 23 p.","productDescription":"23 p.","ipdsId":"IP-169436","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":503617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503612,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.fws.gov/media/us-geological-survey-cooperative-research-units-program-status-report-scientific-research"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mock, J. M.","contributorId":370622,"corporation":false,"usgs":false,"family":"Mock","given":"J.","middleInitial":"M.","affiliations":[{"id":88052,"text":"JMS Natural Resource Strategies","active":true,"usgs":false}],"preferred":false,"id":960588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mawdsley, Jonathan R. 0000-0002-4532-8603 jmawdsley@usgs.gov","orcid":"https://orcid.org/0000-0002-4532-8603","contributorId":302618,"corporation":false,"usgs":true,"family":"Mawdsley","given":"Jonathan","email":"jmawdsley@usgs.gov","middleInitial":"R.","affiliations":[{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":960589,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70261426,"text":"70261426 - 2024 - Cosmogenic 21Ne exposure ages on late Pleistocene moraines in Lassen Volcanic National Park, California, USA","interactions":[],"lastModifiedDate":"2024-12-11T14:19:35.958069","indexId":"70261426","displayToPublicDate":"2024-12-06T08:35:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19852,"text":"GChron","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Cosmogenic 21Ne exposure ages on late Pleistocene moraines in Lassen Volcanic National Park, California, USA","title":"Cosmogenic 21Ne exposure ages on late Pleistocene moraines in Lassen Volcanic National Park, California, USA","docAbstract":"We report new cosmogenic 21Ne in quartz exposure ages from 18 samples on three distinct moraines deposited in the Lost Creek drainage, approximately 3–7 km down-valley from Lassen Peak in Lassen Volcanic National Park. Although measuring 21Ne in quartz is generally straightforward, accurate 21Ne exposure dating of deposits of late Pleistocene is rarely possible due to the significant quantities of non-cosmogenic 21Ne present in most lithologies. Young quartz-bearing volcanic rocks have been observed to be an exception. We take advantage of moraine boulders sourced from the ∼ 28 ka dacite of Lassen Peak to generate a chronology of alpine deglaciation in Lassen Volcanic National Park. Ages from three distinct moraines are in stratigraphic order at 22.1 ± 3.8, 20.2 ± 2.4, and 15.3 ± 3.8 ka and generally agree with other terminal and some recessional moraine ages across the Cascade Range and Sierra Nevada of the western United States. To date, these are among the youngest surfaces ever dated using cosmogenic 21Ne and provide a cost-effective proof-of-concept approach to dating moraines where applicable.
Genetic diversity is a critical cornerstone of biodiversity and is a central goal in management and conservation biology. Such diversity has implications for survivability, adaptability, and resiliency of a species. This study aimed to determine levels of genetic diversity and population genetic structure in the Northern Black Swift (Cypseloides niger borealis). This species nests across western North America as far north as Canada and south into Mexico, migrating annually to wintering areas in western Brazil. Colonies occur in isolated areas where appropriate nesting habitat is available, and in many cases, colonies are widely separated from each other. Banding data revealed that adults of this long-lived species return to their same breeding colony annually for many years. Additionally, some females exhibit natal philopatry, returning to and successfully raising offspring at the colony where they were hatched. This allowed us to hypothesize that we might expect some amount of genetic structure in the samples we studied. The life history characteristics of this species suggest that breeding colonies might be more genetically differentiated than other migratory birds that tend to have limited population genetic structure across their ranges. We used newly developed species-specific microsatellite primers to examine levels of genetic diversity and connectivity among 6 Black Swift colonies in the western United States. Levels of genetic diversity were generally high (expected heterozygosity ranging from 0.67 to 0.75) and comparable across 3 breeding sites with sufficient sample sizes (N > 5). Principal coordinates analysis and STRUCTURE analysis showed no real clustering of individuals in regard to colonies, suggesting one panmictic metapopulation rather than multiple populations that are genetically distinct as we had previously hypothesized based on banding data. This is the first study to elucidate the genetic structure among colonies of Black Swift.
","language":"English","publisher":"Wilson Ornithological Society","doi":"10.1676/23-00043","usgsCitation":"Gunn, C., Potter, K., Fike, J., and Oyler-McCance, S.J., 2024, High genetic diversity, low population genetic structure, strong natal philopatry, and longevity revealed in the Black Swift (Cypseloides niger borealis): The Wilson Journal of Ornithology, v. 136, no. 4, p. 448-457, https://doi.org/10.1676/23-00043.","productDescription":"11 p.","startPage":"448","endPage":"457","ipdsId":"IP-154645","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":464920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Idaho, New 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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":920481,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261288,"text":"ofr20211030R - 2024 - System characterization report on the Earth Surface Mineral Dust Source Investigation (EMIT) sensor","interactions":[{"subject":{"id":70261288,"text":"ofr20211030R - 2024 - System characterization report on the Earth Surface Mineral Dust Source Investigation (EMIT) sensor","indexId":"ofr20211030R","publicationYear":"2024","noYear":false,"chapter":"R","displayTitle":"System Characterization Report on the Earth Surface Mineral Dust Source Investigation (EMIT) Sensor","title":"System characterization report on the Earth 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Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1030","chapter":"R","displayTitle":"System Characterization Report on the Earth Surface Mineral Dust Source Investigation (EMIT) Sensor","title":"System characterization report on the Earth Surface Mineral Dust Source Investigation (EMIT) sensor","docAbstract":"This report addresses system characterization of the Earth Surface Mineral Dust Source Investigation (EMIT) sensor, an imaging spectrometer developed by the National Aeronautics and Space Administration. This report is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present and detail the methodology and procedures for characterization; present technical and operational information about the specific sensing system being evaluated; and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.
The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team completed data analyses to characterize the geometric (interior and exterior) and radiometric performances. Results of these analyses indicate that the EMIT sensor has a band-to-band geometric performance in the range of −0.355 to 0.210 pixel with a few exceptions of shortwave infrared channels. Geometric offset relative to the Landsat 8 Operational Land Imager ranged from −15.966 meters (−0.266 pixel) to 43.844 meters (0.731 pixel). Offset of a radiometric comparison ranged from −0.016 to 0.025, and slope of a radiometric comparison ranged from 0.837 to 0.985. EMIT agreed with Radiometric Calibration Network measurements within 5 percent across most of the spectral channels.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030R","usgsCitation":"Shrestha, M., Sampath, A., Kim, M., and Park, S., 2024, System characterization report on the Earth Surface Mineral Dust Source Investigation (EMIT) sensor, chap. R of Ramaseri Chandra, S.N., comp., System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, 27 p., https://doi.org/10.3133/ofr20211030R.","productDescription":"vi, 27 p.","numberOfPages":"38","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-167707","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":464759,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20211030R/full"},{"id":464758,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1030/r/images/"},{"id":464755,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/r/coverthb.jpg"},{"id":464756,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/r/ofr20211030r.pdf","text":"Report","size":"6.35 MB","description":"OFR 2021–1030–R"},{"id":464757,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1030/r/ofr20211030r.XML"}],"contact":"Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
This step-by-step protocol describes the photogrammetry process used by the U.S. Geological Survey Spokane Imaging Lab (SPIMG) lab to create 3D models of geologic samples. Steps related to photographing small objects are applicable to photogrammetry in general, however, SPIMG-specific steps involving lab hardware and software may not be.
","language":"English","publisher":"Protocols.io","doi":"10.17504/protocols.io.kqdg3xy67g25/v1","usgsCitation":"Evart, L., 2024, Rock sample photogrammetry: Protocols.io, https://doi.org/10.17504/protocols.io.kqdg3xy67g25/v1.","productDescription":"HTML Document","ipdsId":"IP-171668","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":480921,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":489122,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.17504/protocols.io.kqdg3xy67g25/v1","text":"Publisher Index Page"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Evart, Lucas Leonidus 0000-0002-3442-0922","orcid":"https://orcid.org/0000-0002-3442-0922","contributorId":302525,"corporation":false,"usgs":true,"family":"Evart","given":"Lucas Leonidus","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":924744,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70263762,"text":"70263762 - 2024 - Tungsten skarn quantitative mineral resource assessment and gold, rare earth elements, graphite, and uranium qualitative assessments of the Kuldjuktau and Auminzatau Ranges, in the central Kyzylkum region, Uzbekistan","interactions":[],"lastModifiedDate":"2025-02-21T15:21:25.429091","indexId":"70263762","displayToPublicDate":"2024-12-05T09:10:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Tungsten skarn quantitative mineral resource assessment and gold, rare earth elements, graphite, and uranium qualitative assessments of the Kuldjuktau and Auminzatau Ranges, in the central Kyzylkum region, Uzbekistan","docAbstract":"A new quantitative mineral resource assessment for tungsten skarn was conducted for the Auminzatau and Kuldjuktau mountain ranges in Central Uzbekistan, along with qualitative assessments of orogenic gold, rare earth elements (REEs), amorphous graphite, and uranium. By integrating a variety of geological, geochemical, geophysical, and remote sensing data sets, estimates of undiscovered tungsten skarn deposits in permissive tracts are combined with grade and tonnage distributions of known deposits to generate probabilistic estimates of undiscovered resources. Undiscovered deposits in Auminzatau are estimated to contain median resources of 98 thousand metric tons (kt) of WO3 with a 70 percent (%) probability of at least 28 kt and a 10% probability of at least 468 kt, of which 16 kt to 293 kt may be economic to extract. In Kuldjuktau, the undiscovered deposits are estimated to contain median resources of 27 kt of WO3 with a 60% probability of at least 12 kt and a 10% probability of at least 208 kt, of which 5 kt to 132 kt may be economic to extract. Our results suggest that the Auminzatau–Kuldjuktau Mountains area is highly prospective for additional discovery of significant Au and U resources and has low prospectivity for discovery of significant REE and graphite resources.
","language":"English","publisher":"MDPI","doi":"10.3390/min14121240","usgsCitation":"Coyan, J.A., Solano, F., Taylor, C.D., Finn, C., Smith, S.M., Holm-Denoma, C., Pianowski, L., Crocker, K., Mirkamalov, R., Divaev, F., Baratov, A., Khakimov, B., Azimov, J., Goipov, A., Avulov, J., Akhmadov, S., Inatov, N., Janiev, X., and Dulabova, N., 2024, Tungsten skarn quantitative mineral resource assessment and gold, rare earth elements, graphite, and uranium qualitative assessments of the Kuldjuktau and Auminzatau Ranges, in the central Kyzylkum region, Uzbekistan: Minerals, no. 12, p. 1240-1277, https://doi.org/10.3390/min14121240.","productDescription":"38 p.","startPage":"1240","endPage":"1277","ipdsId":"IP-163884","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":487666,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min14121240","text":"Publisher Index Page"},{"id":482329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Uzbekistan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 63,\n 42\n ],\n [\n 63,\n 41.5\n ],\n [\n 65,\n 41.5\n ],\n [\n 65,\n 42\n ],\n [\n 63,\n 42\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","issue":"12","edition":"14","noUsgsAuthors":false,"publicationDate":"2024-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Coyan, Joshua Aaron 0000-0002-8450-7364","orcid":"https://orcid.org/0000-0002-8450-7364","contributorId":247291,"corporation":false,"usgs":true,"family":"Coyan","given":"Joshua","email":"","middleInitial":"Aaron","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science 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Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928162,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Khakimov, Botir","contributorId":351206,"corporation":false,"usgs":false,"family":"Khakimov","given":"Botir","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928163,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Azimov, Jurabek","contributorId":351207,"corporation":false,"usgs":false,"family":"Azimov","given":"Jurabek","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928164,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Goipov, Akrom","contributorId":351208,"corporation":false,"usgs":false,"family":"Goipov","given":"Akrom","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928165,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Avulov, Jamshid","contributorId":351209,"corporation":false,"usgs":false,"family":"Avulov","given":"Jamshid","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928166,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Akhmadov, Shokir","contributorId":351210,"corporation":false,"usgs":false,"family":"Akhmadov","given":"Shokir","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928167,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Inatov, Nurbek","contributorId":351213,"corporation":false,"usgs":false,"family":"Inatov","given":"Nurbek","affiliations":[],"preferred":false,"id":928170,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Janiev, Xurshid","contributorId":351212,"corporation":false,"usgs":false,"family":"Janiev","given":"Xurshid","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928169,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Dulabova, Nafisa","contributorId":351211,"corporation":false,"usgs":false,"family":"Dulabova","given":"Nafisa","affiliations":[{"id":83936,"text":"Ministry of Mining, Industry, and Geology of the Rebublic of Uzbekistan","active":true,"usgs":false}],"preferred":false,"id":928168,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70262438,"text":"70262438 - 2024 - Abundance-mediated species interactions","interactions":[],"lastModifiedDate":"2025-01-22T15:12:17.729427","indexId":"70262438","displayToPublicDate":"2024-12-05T08:07:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Abundance-mediated species interactions","docAbstract":"Species interactions shape biodiversity patterns, community assemblage, and the dynamics of wildlife populations. Ecological theory posits that the strength of interspecific interactions is fundamentally underpinned by the population sizes of the involved species. Nonetheless, prevalent approaches for modeling species interactions predominantly center around occupancy states. Here, we use simulations to illuminate the inadequacies of modeling species interactions solely as a function of occupancy, as is common practice in ecology. We demonstrate erroneous inference into species interactions due to error in parameter estimates when considering species occupancy alone. To address this critical issue, we propose, develop, and demonstrate an abundance-mediated interaction framework designed explicitly for modeling species interactions involving two or more species from detection/non-detection data. We present Markov chain Monte Carlo (MCMC) samplers tailored for diverse ecological scenarios, including intraguild predation, disease- or predator-mediated competition, and trophic cascades. Illustrating the practical implications of our approach, we compare inference from modeling the interactions in a three-species network involving coyotes (Canis latrans), fishers (Pekania pennanti), and American marten (Martes americana) in North America as a function of occupancy states and as a function of abundance. When modeling interactions as a function of abundance rather than occupancy, we uncover previously unidentified interactions. Our study emphasizes that accounting for abundance-mediated interactions rather than simple co-occurrence patterns can fundamentally alter our comprehension of system dynamics. Through an empirical case study and comprehensive simulations, we demonstrate the importance of accounting for abundance when modeling species interactions, and we present a statistical framework equipped with MCMC samplers to achieve this paradigm shift in ecological research.
","language":"English","publisher":"Wiley","doi":"10.1002/ecy.4468","usgsCitation":"Twining, J., Augustine, B., Royle, A., and Fuller, A.K., 2024, Abundance-mediated species interactions: Ecology, v. 106, no. 1, e4468, 20 p., https://doi.org/10.1002/ecy.4468.","productDescription":"e4468, 20 p.","ipdsId":"IP-161645","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.4468","text":"Publisher Index Page"},{"id":480918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"106","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Twining, Joshua P.","contributorId":349314,"corporation":false,"usgs":false,"family":"Twining","given":"Joshua P.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":924215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Augustine, Ben 0000-0001-6935-6361","orcid":"https://orcid.org/0000-0001-6935-6361","contributorId":245736,"corporation":false,"usgs":true,"family":"Augustine","given":"Ben","email":"","affiliations":[{"id":49304,"text":"Department of Natural Resources, Cornell University","active":true,"usgs":false}],"preferred":false,"id":924216,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":924217,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924218,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70276497,"text":"70276497 - 2024 - Real-time lava flow forecasting during the 2022 Mauna Loa eruption response","interactions":[],"lastModifiedDate":"2026-06-08T14:54:09.718676","indexId":"70276497","displayToPublicDate":"2024-12-05T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Real-time lava flow forecasting during the 2022 Mauna Loa eruption response","docAbstract":"On November 27, 2022, Mauna Loa (Hawai‘i) erupted for the first time in 38 years, initially producing lava flows that covered the floor of its summit caldera, Moku‘āweoweo. Over the first 12 h following the summit eruption, four main fissures opened on Mauna Loa’s Northeast Rift Zone, with “fissure 3” quickly becoming the dominant source of lava flows. For the next 12 days, fissure 3 produced a 19-km-long lava flow to the north, crossing the Mauna Loa Weather Observatory access road and coming within 2.8 km of inundating the Daniel K. Inouye Highway (Saddle Road). Within 40 min of fissure 3 opening, inundation modeling efforts had begun. For the duration of the eruption, the computational fluid dynamics model Lava2d was run in real time, using flow front locations and other field observations to make sequential forecast improvements, eventually producing a set of models which accurately predicted the routing and arrival times of lava from fissure 3. These models were used to inform timing estimates of possible future inundation of the Saddle Road. As the eruption progressed, almost 4000 Lava2d models were made using high-performance computing resources, providing critical information on uncertainty in multi-week forecasts. To our knowledge, this was the first ever real-time physics-based ensemble lava flow modeling and forecasting effort. Here, we present a chronology of these real-time efforts, focusing on the successes and limitations of this approach.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-024-01783-z","usgsCitation":"Hyman, D., Dietterich, H., Gallant, E., Lynn, K.J., Zoeller, M.H., Patrick, M.R., Kauahikaua, J., Trusdell, F., Hon, K., Denlinger, R.P., Foks, N., Lee, R.L., Falgout, J.T., and Gordon, J.M., 2024, Real-time lava flow forecasting during the 2022 Mauna Loa eruption response: Bulletin of Volcanology, v. 87, 3, 18 p., https://doi.org/10.1007/s00445-024-01783-z.","productDescription":"3, 18 p.","ipdsId":"IP-168086","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":505468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00445-024-01783-z","text":"Publisher Index Page"},{"id":505153,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa","geographicExtents":"{\n 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Lopaka 0000-0002-6352-0340","orcid":"https://orcid.org/0000-0002-6352-0340","contributorId":223777,"corporation":false,"usgs":true,"family":"Lee","given":"R.","email":"","middleInitial":"Lopaka","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":962521,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Falgout, Jeff T. 0000-0002-7108-477X jfalgout@usgs.gov","orcid":"https://orcid.org/0000-0002-7108-477X","contributorId":4957,"corporation":false,"usgs":true,"family":"Falgout","given":"Jeff","email":"jfalgout@usgs.gov","middleInitial":"T.","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":962522,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Gordon, Janice M. 0000-0001-9729-863X","orcid":"https://orcid.org/0000-0001-9729-863X","contributorId":350521,"corporation":false,"usgs":true,"family":"Gordon","given":"Janice","middleInitial":"M.","affiliations":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":962523,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70263856,"text":"70263856 - 2024 - Comments on the species limits of certain North American birds, part 1","interactions":[],"lastModifiedDate":"2025-02-26T21:01:37.441655","indexId":"70263856","displayToPublicDate":"2024-12-04T14:56:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1117,"text":"Bulletin of the British Ornithologists' Club","active":true,"publicationSubtype":{"id":10}},"title":"Comments on the species limits of certain North American birds, part 1","docAbstract":"Although species limits of North American birds are relatively well-delineated, discrepancies among global lists identify species complexes that are subject to differences of opinion. As part of our work with the North American Classification Committee (NACC) of the American Ornithological Society, we here assess species limits in 11 such species complexes of North American birds: Spruce Grouse (Canachites canadensis), Band-tailed Pigeon (Patagioenas fasciata), Antillean Mango (Anthracothorax dominicus), Greenish Puffleg (Haplophaedia aureliae), Black Oystercatcher (Haematopus bachmani), Hook-billed Kite (Chondrohierax uncinatus), Sharp-shinned Hawk (Accipiter striatus), Elegant Trogon (Trogon elegans), American Three-toed Woodpecker (Picoides dorsalis), Golden-olive Woodpecker (Colaptes rubiginosus), and Olive-throated Parakeet (Eupsittula nana). We provide updated information on the taxonomic history of these species, and recommend updated taxonomic treatments by using published works, analysis of museum specimens, and citizen/community science databases. We hope this work will provide a foundation for future taxonomic research in these species complexes.","language":"English","publisher":"British Ornithologists' Club","doi":"10.25226/bboc.v144i4.2024.a3","usgsCitation":"Johnson, O.W., Billerman, S., Hernandez-Banos, B., Lane, D.F., Rasmussen, P.C., Remsen, J., Winker, K., and Chesser, R., 2024, Comments on the species limits of certain North American birds, part 1: Bulletin of the British Ornithologists' Club, v. 144, no. 4, p. 367-414, https://doi.org/10.25226/bboc.v144i4.2024.a3.","productDescription":"48 p.","startPage":"367","endPage":"414","ipdsId":"IP-166804","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":489962,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.25226/bboc.v144i4.2024.a3","text":"Publisher Index Page"},{"id":482507,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"144","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Oscar W.","contributorId":224103,"corporation":false,"usgs":false,"family":"Johnson","given":"Oscar","email":"","middleInitial":"W.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":928710,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Billerman, Shawn","contributorId":344111,"corporation":false,"usgs":false,"family":"Billerman","given":"Shawn","email":"","affiliations":[{"id":36682,"text":"Cornell Lab of Ornithology","active":true,"usgs":false}],"preferred":false,"id":928711,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hernandez-Banos, Blanca","contributorId":344114,"corporation":false,"usgs":false,"family":"Hernandez-Banos","given":"Blanca","email":"","affiliations":[{"id":82289,"text":"Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":928712,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, Daniel F","contributorId":229672,"corporation":false,"usgs":false,"family":"Lane","given":"Daniel","email":"","middleInitial":"F","affiliations":[{"id":39571,"text":"Louisiana State Univ.","active":true,"usgs":false}],"preferred":false,"id":928713,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rasmussen, Pamela C.","contributorId":145569,"corporation":false,"usgs":false,"family":"Rasmussen","given":"Pamela","email":"","middleInitial":"C.","affiliations":[{"id":16153,"text":"Mich St Univ","active":true,"usgs":false}],"preferred":false,"id":928714,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Remsen, J.V. Jr.","contributorId":351496,"corporation":false,"usgs":false,"family":"Remsen","given":"J.V.","suffix":"Jr.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":928715,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Winker, Kevin","contributorId":140814,"corporation":false,"usgs":false,"family":"Winker","given":"Kevin","email":"","affiliations":[{"id":13586,"text":"University of Alaska Museum, University of Alaska Fairbanks, Fairbanks, Alaska, USA","active":true,"usgs":false}],"preferred":false,"id":928716,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chesser, R. Terry 0000-0003-4389-7092","orcid":"https://orcid.org/0000-0003-4389-7092","contributorId":87669,"corporation":false,"usgs":true,"family":"Chesser","given":"R. Terry","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":928717,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70261322,"text":"70261322 - 2024 - Getting to the surface of the problem: A dynamic rupture benchmark for shallowly dipping faults near Earth’s surface","interactions":[],"lastModifiedDate":"2026-04-24T15:59:30.608391","indexId":"70261322","displayToPublicDate":"2024-12-04T10:57:07","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":9141,"text":"Final Report","active":true,"publicationSubtype":{"id":2}},"title":"Getting to the surface of the problem: A dynamic rupture benchmark for shallowly dipping faults near Earth’s surface","docAbstract":"The Statewide California Earthquake Center (SCEC) Dynamic Rupture Group workshop “Getting to the Surface of the Problem: A Dynamic Rupture Benchmark for Shallowly-Dipping Faults Near Earth’s Surface” was convened virtually, in an online meeting on November 4, 2024. 52 people participated, including two who sent pre-recorded lightning talks earlier, but were unable to join us that day due to the international time-zone difference. One-half of our participants were students or postdocs, and the group included scientists from 11 countries (USA, Canada, China, Czech Republic, France, Germany, Iceland, Japan, New Zealand, Saudi Arabia, Switzerland).","language":"English","publisher":"Statewide California Earthquake Center","usgsCitation":"Harris, R.A., and Barall, M., 2024, Getting to the surface of the problem: A dynamic rupture benchmark for shallowly dipping faults near Earth’s surface: Final Report, 12 p.","productDescription":"12 p.","ipdsId":"IP-172766","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":464796,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://central.scec.org/proposal/report/24162"},{"id":503519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":920372,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barall, Michael 0000-0001-7724-8563 mbarall@usgs.gov","orcid":"https://orcid.org/0000-0001-7724-8563","contributorId":271197,"corporation":false,"usgs":true,"family":"Barall","given":"Michael","email":"mbarall@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":920373,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70262580,"text":"70262580 - 2024 - Fall 2024 edition","interactions":[],"lastModifiedDate":"2025-01-24T16:34:26.421904","indexId":"70262580","displayToPublicDate":"2024-12-04T10:33:31","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"title":"Fall 2024 edition","docAbstract":"No abstract available.
","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Shriver, L.C., 2024, Fall 2024 edition, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-172262","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":480808,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/centers/southwest-biological-science-center/news/ramps-newsletter-fall-2024"},{"id":481140,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shriver, Laura Cecilia 0009-0008-5567-0868","orcid":"https://orcid.org/0009-0008-5567-0868","contributorId":334175,"corporation":false,"usgs":true,"family":"Shriver","given":"Laura","email":"","middleInitial":"Cecilia","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":924606,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70265969,"text":"70265969 - 2024 - Rowing in the same direction using MIX— A tool to initiate the melding of individual disciplinary experts into an integrated interdisciplinary team","interactions":[],"lastModifiedDate":"2025-04-23T14:32:41.533276","indexId":"70265969","displayToPublicDate":"2024-12-04T09:27:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3504,"text":"Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Rowing in the same direction using MIX— A tool to initiate the melding of individual disciplinary experts into an integrated interdisciplinary team","docAbstract":"A common problem for interdisciplinary sustainability research is that scientists trained in different disciplines are often not rowing their boat effectively in the same direction. Sustainability tools can aid the implementation of this team-melding process. Here, our purpose is to illustrate our Multi-step Integrated graphical and structured discussion eXercise (MIX) tool that transforms diverse disciplinary experts into an interdisciplinary team. We use a visual puzzle-solving approach based on the blind men and the elephant metaphor (BMEM) because this story illustrates the shortcomings of siloed viewpoints and the need to integrate multiple perspectives. Our six-step MIX tool provides step-specific objectives, group activities, discussion questions, and learning outcomes. Activities promote experiential learning for team problem solving. The step-specific structured discussions are designed to get each individual to change their focus from their own discipline (i.e., an elephant trunk, tail, leg, or other isolated pieces of the whole animal) to the team’s interdisciplinary goal (i.e., the whole elephant or the entire multi-faceted problem). In our example proof of concept, we show that a narrow focus on only economic yield (trunk), ecological conservation (legs), or human values (tail) misrepresents the biologically involved sustainability problem (elephant) and blocks innovative solutions.
","language":"English","publisher":"MDPI","doi":"10.3390/su162310625","usgsCitation":"Mather, M.E., Bergtold, J., Caldas, M., Bernick, E., Moore, T., Granco, G., Sheshukov, A., and Ciampitti, I., 2024, Rowing in the same direction using MIX— A tool to initiate the melding of individual disciplinary experts into an integrated interdisciplinary team: Sustainability, v. 16, no. 23, 10625, 17 p., https://doi.org/10.3390/su162310625.","productDescription":"10625, 17 p.","ipdsId":"IP-170364","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":488502,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/su162310625","text":"Publisher Index Page"},{"id":484915,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"23","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":934196,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergtold, Jason","contributorId":353631,"corporation":false,"usgs":false,"family":"Bergtold","given":"Jason","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":934197,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldas, Marcellus","contributorId":353632,"corporation":false,"usgs":false,"family":"Caldas","given":"Marcellus","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":934198,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernick, Ethan","contributorId":353633,"corporation":false,"usgs":false,"family":"Bernick","given":"Ethan","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":934199,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Moore, Trisha","contributorId":353634,"corporation":false,"usgs":false,"family":"Moore","given":"Trisha","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":934200,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Granco, Gabriel","contributorId":353635,"corporation":false,"usgs":false,"family":"Granco","given":"Gabriel","affiliations":[{"id":66019,"text":"Cal Poly Pomona","active":true,"usgs":false}],"preferred":false,"id":934201,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sheshukov, Aleksey","contributorId":353636,"corporation":false,"usgs":false,"family":"Sheshukov","given":"Aleksey","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":934202,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ciampitti, Ignacio","contributorId":353637,"corporation":false,"usgs":false,"family":"Ciampitti","given":"Ignacio","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":934203,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70263948,"text":"70263948 - 2024 - The Europa Imaging System (EIS) investigation","interactions":[],"lastModifiedDate":"2025-03-03T15:02:35.251643","indexId":"70263948","displayToPublicDate":"2024-12-04T08:55:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3454,"text":"Space Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"The Europa Imaging System (EIS) investigation","docAbstract":"The Europa Imaging System (EIS) consists of a Narrow-Angle Camera (NAC) and a Wide-Angle Camera (WAC) that are designed to work together to address high-priority science objectives regarding Europa’s geology, composition, and the nature of its ice shell. EIS accommodates variable geometry and illumination during rapid, low-altitude flybys with both framing and pushbroom imaging capability using rapid-readout, 8-megapixel (4k × 2k) detectors. Color observations are acquired using pushbroom imaging with up to six broadband filters. The data processing units (DPUs) perform digital time delay integration (TDI) to enhance signal-to-noise ratios and use readout strategies to measure and correct spacecraft jitter. The NAC has a 2.3° × 1.2° field of view (FOV) with a 10-μrad instantaneous FOV (IFOV), thus achieving 0.5-m pixel scale over a swath that is 2 km wide and several km long from a range of 50 km. The NAC is mounted on a 2-axis gimbal, ±30° cross- and along-track, that enables independent targeting and near-global (≥90%) mapping of Europa at ≤100-m pixel scale (to date, only ∼15% of Europa has been imaged at ≤900 m/pixel), as well as stereo imaging from as close as 50-km altitude to generate digital terrain models (DTMs) with ≤4-m ground sample distance (GSD) and ≤0.5-m vertical precision. The NAC will also perform observations at long range to search for potential erupting plumes, achieving 10-km pixel scale at a distance of one million kilometers. The WAC has a 48° × 24° FOV with a 218-μrad IFOV, achieving 11-m pixel scale at the center of a 44-km-wide swath from a range of 50 km, and generating DTMs with 32-m GSD and ≤4-m vertical precision. The WAC is designed to acquire three-line pushbroom stereo and color swaths along flyby ground-tracks.
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Although labile nitrogen (N) and phosphorus (P) fuel primary production, micronutrients also play roles as the enzymatic engines that facilitate rapid and efficient growth and toxin production. Macro- and micronutrient availability can shape community composition and function by selecting for particular taxa. To address how phytoplankton in two Great Lakes subbasins respond to macro- and micronutrients, we conducted bottle incubation enrichment experiments using water collected from two blooming and two nonblooming sites in Lakes Erie and Michigan during late summer (August). Three of the four sites exhibited multi-nutrient limitation of growth. Both blooming sites responded strongest to NH4+ enrichment. Both nonblooming sites responded the strongest to PO43− enrichment, and three of the four sites responded in some way to a mix of micronutrients (Fe, Mn, Mo, Ni, and Zn). Microcystis aeruginosa relative abundance increased most with N enrichment, while P enrichment increased the abundance of diatoms and chlorophytes. At the Fox River, N-enriched communities grew 10%–20% more than non-N enriched communities (measured as chlorophyll a), and N-enriched communities had, on average, over twice as much microcystin (non-N communities average MC = 2.45 μg · L−1, +N communities MC = 5.35 μg · L−1). These overarching trends support the idea that control of HABs may not be effective with a P-only approach.
","language":"English","publisher":"Wiley","doi":"10.1111/jpy.13519","usgsCitation":"Stoll, J.T., Larson, J.H., Bailey, S., Blackwood, C., and Costello, D.M., 2024, Macro- and micronutrient effects on phytoplankton in Green Bay, Lake Michigan and the western basin of Lake Erie: Journal of Phycology, v. 60, no. 6, p. 1514-1527, https://doi.org/10.1111/jpy.13519.","productDescription":"14 p.","startPage":"1514","endPage":"1527","ipdsId":"IP-147490","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":486966,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jpy.13519","text":"Publisher Index Page"},{"id":483046,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Ohio, Wisconsin","otherGeospatial":"Green Bay, Lake Erie, Lake Michigan","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.03685128690228,\n 41.87600695467955\n ],\n [\n -83.20795357925205,\n 42.027867652226206\n ],\n [\n -83.5115221624522,\n 41.678418108973744\n ],\n [\n -83.34593929888818,\n 41.69078411771747\n ],\n [\n -83.03685128690228,\n 41.87600695467955\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.05899801254903,\n 44.55955967593911\n ],\n [\n -87.91549286412715,\n 44.52415450727088\n ],\n [\n -87.04342311602409,\n 45.688867542994075\n ],\n [\n -87.0930979750935,\n 45.719704005362075\n ],\n [\n -87.24764198108645,\n 45.60397956527325\n ],\n [\n -87.5622494218576,\n 45.18539079311623\n ],\n [\n -87.62296313849751,\n 44.9827421736417\n ],\n [\n -87.81062371720358,\n 44.95540765403871\n ],\n [\n -88.05899801254903,\n 44.55955967593911\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Stoll, Jordyn T.","contributorId":345787,"corporation":false,"usgs":false,"family":"Stoll","given":"Jordyn","email":"","middleInitial":"T.","affiliations":[{"id":82711,"text":"Kent State","active":true,"usgs":false}],"preferred":false,"id":929934,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":929935,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bailey, Sean 0000-0003-0361-7914 sbailey@usgs.gov","orcid":"https://orcid.org/0000-0003-0361-7914","contributorId":198515,"corporation":false,"usgs":true,"family":"Bailey","given":"Sean","email":"sbailey@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":929936,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackwood, Christopher","contributorId":352038,"corporation":false,"usgs":false,"family":"Blackwood","given":"Christopher","affiliations":[{"id":18142,"text":"Kent State University","active":true,"usgs":false}],"preferred":false,"id":929937,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Costello, David M. 0000-0002-1532-5399","orcid":"https://orcid.org/0000-0002-1532-5399","contributorId":255146,"corporation":false,"usgs":false,"family":"Costello","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":18142,"text":"Kent State University","active":true,"usgs":false}],"preferred":false,"id":929938,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261455,"text":"70261455 - 2024 - Microfossil biostratigraphy and paleoenvironments of Cretaceous and Pliocene sediments along Greens Mill Run, North Carolina, USA","interactions":[],"lastModifiedDate":"2024-12-11T17:13:11.800838","indexId":"70261455","displayToPublicDate":"2024-12-04T08:25:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3481,"text":"Stratigraphy","active":true,"publicationSubtype":{"id":10}},"title":"Microfossil biostratigraphy and paleoenvironments of Cretaceous and Pliocene sediments along Greens Mill Run, North Carolina, USA","docAbstract":"Cretaceous sediments are disconformably overlain by Pliocene sediments along the banks of Greens Mill Run, Greenville, North Carolina, located in the central coastal plain. The Cretaceous sediments, composed of glauconitic sand and clay, have previously been informally considered part of the Maastrichtian Peedee Formation. The Pliocene sediments are assigned to the Yorktown Formation and consist of shelly, muddy sand overlain with a gradational contact by shell-poor, muddy sand. Foraminifera are abundant in the Cretaceous unit and are dominated by the planktic foraminifera Guembelitria cretacea. Low planktic foraminiferal diversity, the absence of single and double-keeled species, the dominance of planktic over benthic foraminifera, and the occurrence of glauconite and phosphorite grains indicates a middle neritic environment. The age of the Cretaceous unit is late Campanian (Zone CC22c), as indicated by the co-occurrence of the calcareous nannofossils Reinhardtites levis and Reinhardtites anthophorus. For this reason, we assign these deposits to the Donoho Creek Formation of the Black Creek Group rather than to the lithologically similar and younger Peedee Formation. Benthic foraminifera dominate the lower part of the Yorktown Formation, are similar to those from the Rushmere Member of the Yorktown Formation in the southern Salisbury Embayment, and indicate deposition in an inner to middle neritic environment. Phosphorite peloids and intraclasts are likely reworked from underlying strata and suggest wave ravinement and deposition during transgression, which is further supported by a fining upward trend. The upper part of the Yorktown Formation exposure, characterized by abundant molds of small bivalves and barren of foraminifera, represents the Morgarts Beach Member. Sedimentological data are consistent with foraminiferal data as far as expected depositional energy. A restricted inner neritic or estuarine environment is indicated.
","language":"English","publisher":"Micropaleontology Press","doi":"10.47894/stra.21.4.03","usgsCitation":"Dixon, M., Culver, S.J., Mallinson, D.J., Huber, B.T., Self-Trail, J., Spivey, W., and Harris, W., 2024, Microfossil biostratigraphy and paleoenvironments of Cretaceous and Pliocene sediments along Greens Mill Run, North Carolina, USA: Stratigraphy, v. 21, no. 4, p. 323-335, https://doi.org/10.47894/stra.21.4.03.","productDescription":"13 p.","startPage":"323","endPage":"335","ipdsId":"IP-160545","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":465024,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.micropress.org/microaccess/stratigraphy/issue-407/article-2397","linkFileType":{"id":5,"text":"html"}},{"id":465025,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","city":"Greenville","otherGeospatial":"Greens Mill Run","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.35352669848585,\n 35.60617951552658\n ],\n [\n -77.35352669848585,\n 35.6031089778176\n ],\n [\n -77.34026585711604,\n 35.6031089778176\n ],\n [\n -77.34026585711604,\n 35.60617951552658\n ],\n [\n -77.35352669848585,\n 35.60617951552658\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dixon, Mikayla","contributorId":347037,"corporation":false,"usgs":false,"family":"Dixon","given":"Mikayla","email":"","affiliations":[{"id":83044,"text":"ECU","active":true,"usgs":false}],"preferred":false,"id":920610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Culver, Stephen J.","contributorId":198984,"corporation":false,"usgs":false,"family":"Culver","given":"Stephen","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":920611,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mallinson, David J.","contributorId":198986,"corporation":false,"usgs":false,"family":"Mallinson","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":27911,"text":"East Carolina University Greenville, North Carolina,USA","active":true,"usgs":false}],"preferred":false,"id":920612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huber, Brian T.","contributorId":270771,"corporation":false,"usgs":false,"family":"Huber","given":"Brian","email":"","middleInitial":"T.","affiliations":[{"id":36858,"text":"Smithsonian","active":true,"usgs":false}],"preferred":false,"id":920613,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":920614,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Spivey, Whittney 0000-0003-1111-3361 wspivey@usgs.gov","orcid":"https://orcid.org/0000-0003-1111-3361","contributorId":214849,"corporation":false,"usgs":true,"family":"Spivey","given":"Whittney","email":"wspivey@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":920615,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harris, W. 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While the complex dynamics of these habitats have been examined under future climate predictions, few ecosystem models incorporate influences from fauna, such as the diamondback terrapin, the only estuarine turtle native to North America. This review examines the impacts of climate change on diamondback terrapins (Malaclemys terrapin) and the role that terrapins play as higher trophic level predators and keystone species in driving the dynamics of these ecosystems. We also review the potential implications of changes to terrapin populations on coastal ecosystems as a conservation challenge and suggest solutions to advance our understanding of those complex systems. Because of their role as a keystone and area-sensitive species that helps maintain healthy coastal habitats by foraging on herbivorous periwinkle snails, alterations to terrapin life history from climate change are expected, which could have significant impacts to the conservation of coastal habitats. Life history alterations could occur due to individual stressors, such as warming temperatures altering terrapin sex ratios. However, because of the complexity of these coastal systems, these stressors could also act additively or synergistically. Inclusion of faunal taxa such as the diamondback terrapin in modeling efforts examining climate change impacts to coastal ecosystems would better represent the complexity of these habitats thereby providing a more comprehensive evaluation of the entire ecosystem, resulting in more effective conservation strategies.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s12237-024-01466-0","usgsCitation":"Lamont, M.M., Osland, M.J., and Baustian, M., 2024, Salt marsh habitats and diamondback terrapins in a rapidly changing climate: A review: Estuaries and Coasts, v. 48, no. 1, 33, 14 p., https://doi.org/10.1007/s12237-024-01466-0.","productDescription":"33, 14 p.","ipdsId":"IP-167295","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466727,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-024-01466-0","text":"Publisher Index Page"},{"id":465112,"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 -73.99312483251897,\n 43.35029876340829\n ],\n [\n -103.6065024224903,\n 43.35029876340829\n ],\n [\n -103.6065024224903,\n 25.935704461203755\n ],\n [\n -73.99312483251897,\n 25.935704461203755\n ],\n [\n -73.99312483251897,\n 43.35029876340829\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamont, Margaret M. 0000-0001-7520-6669 mlamont@usgs.gov","orcid":"https://orcid.org/0000-0001-7520-6669","contributorId":4525,"corporation":false,"usgs":true,"family":"Lamont","given":"Margaret","email":"mlamont@usgs.gov","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":920918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Osland, Michael J. 0000-0001-9902-8692 mosland@usgs.gov","orcid":"https://orcid.org/0000-0001-9902-8692","contributorId":3080,"corporation":false,"usgs":true,"family":"Osland","given":"Michael","email":"mosland@usgs.gov","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":920919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baustian, Melissa M.","contributorId":189569,"corporation":false,"usgs":false,"family":"Baustian","given":"Melissa M.","affiliations":[],"preferred":false,"id":920920,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70262053,"text":"70262053 - 2024 - Neonatal antipredator tactics shape female movement patterns in large herbivores","interactions":[],"lastModifiedDate":"2025-01-10T16:43:54.112603","indexId":"70262053","displayToPublicDate":"2024-12-04T08:09:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5263,"text":"Nature Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Neonatal antipredator tactics shape female movement patterns in large herbivores","docAbstract":"Caring for newborn offspring hampers resource acquisition of mammalian females, curbing their ability to meet the high energy expenditure of early lactation. Newborns are particularly vulnerable, and large herbivores have evolved a continuum of neonatal anti-predator tactics, ranging from immobile hider to highly mobile follower offspring. How these tactics constrain female movements around parturition is unknown, particularly within the current context of increasing habitat fragmentation and earlier plant phenology caused by global warming. Using a analysis across 54 populations of 23 species of large herbivores, we show that mothers adjust their movements to variation in resource productivity and heterogeneity according to their offspring’s neonatal tactic. Mothers with hider offspring are unable to exploit environments where the variability of resources occurs at a broad scale, which might alter resource allocation compared to mothers with follower offspring. Our findings reveal that the overlooked neonatal tactic plays a key role for predicting how species are coping with environmental variation.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41559-024-02565-8","usgsCitation":"Atmeh, K., Bonenfant, C., Gaillard, J., Garel, M., Hewison, A., Marchand, P., Morellet, N., Anderwald, P., Buuveibaatar, B., Beck, J.L., Becker, M., van Beest, F., Berg, J., Bergvall, U., Boone, R., Boyce, M.S., Chamaill'e-Jammes, S., Chaval, Y., Buyanaa, C., Christianson, D.A., Ciuti, S., Côté, S., Diefenbach, D.R., Droge, E., Du Toit, J.T., Dwinnell, S., Fennessy, J., Filli, F., Fortin, D., Hart, E., Hayes, M., Hebblewhite, M., Heim, M., Herfindal, I., Heurich, M., von Hoermann, C., Huggler, K., Jackson, C., Jakes, A., Jones, P., Kaczensky, P., Kauffman, M., Kjellander, P., LaSharr, T.N., Loe, L., May, R., McLoughlin, P., Meisingset, E., Merrill, E., Monteith, K., Mueller, T., Mysterud, A., Nandintsetseg, D., Olson, K.A., Payne, J., Pearson, S., Pedersen, A., Ranglack, D.H., Reinking, A., Rempfler, T., Rice, C., Røskaft, E., Sæther, B., Saïd, S., Santacreu, H., Schmidt, N.M., Smit, D., Stabach, J.A., St-Laurent, M., Taillon, J., Walter, W., White, K., Péron, G., and Loison, A., 2024, Neonatal antipredator tactics shape female movement patterns in large herbivores: Nature Ecology & Evolution, v. 9, p. 142-152, https://doi.org/10.1038/s41559-024-02565-8.","productDescription":"11 p.","startPage":"142","endPage":"152","ipdsId":"IP-129109","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":466728,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-04857388","text":"External Repository"},{"id":465999,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Atmeh, Kamal","contributorId":348008,"corporation":false,"usgs":false,"family":"Atmeh","given":"Kamal","affiliations":[{"id":83278,"text":"Laboratoire Biometrie; Universit´e de Savoie Mont-Blanc","active":true,"usgs":false}],"preferred":false,"id":922826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonenfant, Christophe","contributorId":348009,"corporation":false,"usgs":false,"family":"Bonenfant","given":"Christophe","affiliations":[{"id":83279,"text":"Laboratoire Biometrie","active":true,"usgs":false}],"preferred":false,"id":922827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaillard, Jean-Michel","contributorId":150446,"corporation":false,"usgs":false,"family":"Gaillard","given":"Jean-Michel","email":"","affiliations":[],"preferred":false,"id":922828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garel, Mathieu","contributorId":348010,"corporation":false,"usgs":false,"family":"Garel","given":"Mathieu","affiliations":[{"id":83280,"text":"Office Francais de la Biodiversit´e","active":true,"usgs":false}],"preferred":false,"id":922829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hewison, A.J. 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In the Snake River, a highly altered river-reservoir system in the semi-arid western United States, OM production and loading are key drivers of reservoir anoxia, which leads to several deleterious processes such as mercury methylation. However, sources and quantities of OM to the Snake River, and the effects of impoundment on OM moving through the river-reservoir system, are not well understood. Particulate organic carbon (POC), dissolved organic carbon (DOC), particulate nitrogen (PN), chlorophyll a (chl-a), and δ15N–PN and δ13C–POC isotopic ratios were measured bi-weekly for over 2 years at four locations through the Snake River Hells Canyon Reservoir Complex to determine spatial and temporal patterns of OM quantities and sources. POC concentrations increased through the riverine zone upstream of the reservoirs, likely due to in situ primary production and/or inputs from tributaries and agricultural drains; then decreased through the most upstream reservoir likely due to particle settling. Isotopic ratios and other OM source indicators (δ15N–PN, δ13C–POC, POC:PN, chl-a:POC) show that the dominant source of particulate OM was phytoplankton with seasonal terrestrial/macrophytic inputs. Results highlight the effects of major tributary and agricultural drain inputs, primary production, and impoundment on OM composition and concentration through a large river-reservoir system and may inform water quality management efforts in this and similar systems.
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Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":920264,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Poulin, Brett 0000-0002-5555-7733","orcid":"https://orcid.org/0000-0002-5555-7733","contributorId":260893,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett","affiliations":[{"id":52706,"text":"Department of Environmental Toxicology, University of California Davis, Davis, CA 95616, USA","active":true,"usgs":false}],"preferred":false,"id":920265,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Naymik, Jesse","contributorId":229386,"corporation":false,"usgs":false,"family":"Naymik","given":"Jesse","affiliations":[{"id":41632,"text":"Idaho Power Company","active":true,"usgs":false}],"preferred":false,"id":920266,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":920267,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261248,"text":"sir20245115 - 2024 - Flood-inundation maps for the Cuyahoga River at Jaite, Ohio, 2024","interactions":[],"lastModifiedDate":"2025-12-22T21:00:37.290202","indexId":"sir20245115","displayToPublicDate":"2024-12-04T06:45:00","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":"2024-5115","displayTitle":"Flood-Inundation Maps for the Cuyahoga River at Jaite, Ohio, 2024","title":"Flood-inundation maps for the Cuyahoga River at Jaite, Ohio, 2024","docAbstract":"Digital flood-inundation maps for a nearly 6-mile reach of the Cuyahoga River at Jaite, Ohio, were created by the U.S. Geological Survey (USGS) in cooperation with the Northeast Ohio Regional Sewer District Board of Trustees. The maps depict estimates of the extent and depth of flooding corresponding to selected water levels (stages) at USGS streamgage 04206425 on the Cuyahoga River at Jaite, Ohio.
Water-surface profiles were computed for the stream reach by using a one-dimensional steady-state step-backwater model. The hydraulic model was calibrated to the current USGS streamgage data and then used to compute 15 water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from 6 to 20 feet, which correspond to below “action stage” to “major flood stage” as reported by the National Weather Service. The simulated water-surface profiles were then used with a geographic information system digital elevation model derived from light detection and ranging data to delineate the areas flooded at each stage.
These maps, along with current stage data from the USGS streamgage and forecasted high-flow stages from the National Weather Service, can provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for postflood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245115","collaboration":"Prepared in cooperation with the Northeast Ohio Regional Sewer District Board of Trustees","usgsCitation":"Whitehead, M.T., and Ostheimer, C.J., 2024, Flood-inundation maps for the Cuyahoga River at Jaite, Ohio, 2024: U.S. Geological Survey Scientific Investigations Report 2024–5115, 12 p., https://doi.org/10.3133/sir20245115.","productDescription":"Report: vi, 12 p.; 1 Data Release","numberOfPages":"12","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-158402","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":497897,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118059.htm","linkFileType":{"id":5,"text":"html"}},{"id":464690,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9O3MYQ0","text":"USGS data release","linkHelpText":"Geospatial datasets and hydraulic model for flood-inundation maps of Cuyahoga River at Jaite, Ohio"},{"id":464689,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5115/images/"},{"id":464688,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5115/sir20245115.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5115 XML"},{"id":464685,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5115/coverthb.jpg"},{"id":464686,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5115/sir20245115.pdf","text":"Report","size":"3.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5115 PDF"},{"id":464687,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245115/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5115 HTML"}],"country":"United States","state":"Ohio","city":"Jaite","otherGeospatial":"Cuyahoga River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.6,\n 41.3167\n ],\n [\n -81.6,\n 41.25\n ],\n [\n -81.5,\n 41.25\n ],\n [\n -81.5,\n 41.3167\n ],\n [\n -81.6,\n 41.3167\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
6460 Busch Blvd, Suite 100
Columbus, OH 43229
Recent trends of rising temperatures and longer droughts between precipitation events are impacting water-limited dryland ecosystems in the western United States. Although ecosystem drought response depends directly on soil moisture, trends in soil moisture (e.g., edaphic drought) remain more poorly explored than precipitation (e.g., meteorological drought), representing an important knowledge gap. Here, we applied the SOILWAT2 ecosystem water balance model to quantify long-term trends of soil moisture and edaphic drought using observed daily weather from 1976 to 2019 at 337 stations across the western United States. We assessed edaphic drought for different plant community types (grass dominated vs. shrub dominated), and explored variations with soil depth and texture. The duration of the longest edaphic drought in a given year increased by 1.5 ± 0.2 days/decade for grassy and 1.7 ± 0.2 days/decade for woody vegetation. Importantly, these trends in edaphic drought were consistent with but greater in magnitude compared with meteorological drought indicating more severe water stress for both plants and ecosystems. The correlation between meteorological drought and edaphic drought was greater under woody vegetation (0.45) compared with grass (0.34) and greater at surface soil depths (0–20 cm; 0.46) compared with the deeper soil (20–100 cm; 0.34). Among soil textures, the correlation between meteorological and edaphic drought was highest on sandy soils and lowest on finer textured silty soils. Using the biogeographic domains (eight western NEON domains), we found that the Pacific Northwest, Pacific Southwest, and Desert Southwest exhibited the strongest increases in edaphic drought through time, but lower correlation between meteorological and edaphic droughts. These findings characterize strong but variable connections between edaphic drought and meteorological drought across the western United States and demonstrate the critical influences of vegetation type, soil depth, and soil properties in mediating the magnitude and spatial distribution of edaphic drought.
","language":"English","publisher":"Wiley","doi":"10.1002/eco.2749","usgsCitation":"Zhang, F., Biederman, J.A., Schlaepfer, D.R., Bradford, J.B., Reed, S.C., and Smith, W.K., 2024, Increasing soil water drought in response to altered precipitation timing across the western United States: Ecohydrology, v. 18, no. 2, e2749, 12 p., https://doi.org/10.1002/eco.2749.","productDescription":"e2749, 12 p.","ipdsId":"IP-163653","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498230,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eco.2749","text":"Publisher Index Page"},{"id":494732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -125.86807902477261,\n 49.588522649130624\n ],\n [\n -125.36941038239132,\n 41.02167216747373\n ],\n [\n -122.62525956962213,\n 32.782718887450514\n ],\n [\n -101.22796660251535,\n 31.03128157801875\n ],\n [\n -101.22796660251535,\n 49.588522649130624\n ],\n [\n -125.86807902477261,\n 49.588522649130624\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-12-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Fangyue","contributorId":266007,"corporation":false,"usgs":false,"family":"Zhang","given":"Fangyue","email":"","affiliations":[{"id":54855,"text":"USDA Agricultural Research Service Southwest Watershed Research Center, Tucson, Arizona 85719 ; School of Natural Resources and the Environment, University of Arizona, Tucson, Arizona 85721","active":true,"usgs":false}],"preferred":false,"id":947146,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biederman, Joel A.","contributorId":360505,"corporation":false,"usgs":false,"family":"Biederman","given":"Joel","middleInitial":"A.","affiliations":[{"id":86023,"text":"USDA Agricultural Research Service Southwest Watershed Research Center, Tucson, AZ 85719, USA","active":true,"usgs":false}],"preferred":false,"id":947147,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947148,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":222784,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947149,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reed, Sasha C. 0000-0002-8597-8619 screed@usgs.gov","orcid":"https://orcid.org/0000-0002-8597-8619","contributorId":217604,"corporation":false,"usgs":true,"family":"Reed","given":"Sasha","email":"screed@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947150,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, William K.","contributorId":360506,"corporation":false,"usgs":false,"family":"Smith","given":"William","middleInitial":"K.","affiliations":[{"id":86024,"text":"School of Natural Resources and the Environment, University of Arizona, Tucson, AZ 85721, USA","active":true,"usgs":false}],"preferred":false,"id":947151,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261232,"text":"ofr20241071 - 2024 - Using the horizontal-to-vertical spectral ratio method to estimate thickness of the Barry Arm landslide, Prince William Sound, Alaska","interactions":[],"lastModifiedDate":"2025-12-22T20:41:07.836719","indexId":"ofr20241071","displayToPublicDate":"2024-12-03T13:00:00","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":"2024-1071","displayTitle":"Using the Horizontal-to-Vertical Spectral Ratio Method to Estimate Thickness of the Barry Arm Landslide, Prince William Sound, Alaska","title":"Using the horizontal-to-vertical spectral ratio method to estimate thickness of the Barry Arm landslide, Prince William Sound, Alaska","docAbstract":"Conducting detailed investigations of large landslides is difficult, especially in the subsurface, largely due to environmental factors such as steep slopes, difficult access, and numerous objective hazards. These factors have made it challenging to accurately estimate the depth to the failure surface of the Barry Arm landslide, a large (roughly 108 cubic meters), deep-seated bedrock landslide in Prince William Sound, Alaska, recognized in 2019. The landslide has exhibited accelerated movement in recent years and poses a potential tsunamigenic hazard if rapid failure occurs. Failure surface depth, equivalent to landslide thickness, is a necessary metric for landslide-volume calculations and associated tsunami wave models. In this report, we used seismic noise recorded by a seismometer located on the Barry Arm landslide in Alaska to calculate the horizontal-to-vertical spectral ratio (HVSR) to investigate the site fundamental frequency (f0) and depth of the failure surface. To ensure that observed peak frequencies in the spectral ratio were related to the underlying stratigraphy (and not caused by other noise sources like nearby glaciers, topographic resonance, weather, or human activities), we also calculated HVSRs using earthquake signals, HVSRs at other seismic stations within a 2.5-kilometer radius, and a standard spectral ratio between the landslide station and other sites. We observed multiple peaks in the landslide HVSR curves at 1.5 hertz (Hz), 4–5 Hz, and 7–11 Hz. The frequencies of these peaks were consistent at the landslide site through time and across methods and were dissimilar to those identified at other seismic stations in the area, making it unlikely the peaks were caused by local noise.
Directional HVSRs calculated at 15-degree intervals showed amplification of the higher frequency peaks in the direction parallel to slip, indicating two-dimensional site effects. We used the distinct frequency peaks in the seismic record to develop a 4-layer conceptual model of the landslide wherein the top of the deepest layer represents the primary failure surface, or the boundary between damaged (mobile) and undamaged material. We inverted Rayleigh wave ellipticity curves within this 4-layer configuration with constraints on S-wave velocity and layer thickness based on analogous material properties identified in the literature. This was necessary absent any site-specific subsurface S-wave velocity data. The best-fitting models indicate a mean slope-normal depth to the failure surface of 188 (±9) meters (m), with additional stratigraphic boundaries at 4 and 20 m below ground surface, potentially representing layered motion. These results agree with and improve upon ranges estimated by previous studies and can support future modeling and assessment efforts at Barry Arm.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20241071","programNote":"Landslide Hazards Program","usgsCitation":"Collins, A.L., Allstadt, K.E., and Staley, D.M., 2024, Using the horizontal-to-vertical spectral ratio method to estimate thickness of the Barry Arm landslide, Prince William Sound, Alaska: U.S. Geological Survey Open-File Report 2024–1071, 25 p., https://doi.org/10.3133/ofr20241071.","productDescription":"vii, 25 p.","onlineOnly":"Y","ipdsId":"IP-164227","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":464747,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241071/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1043"},{"id":464705,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1071/ofr20241071.xml"},{"id":464704,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1071/images"},{"id":464670,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1071/ofr20241071.pdf","text":"Report","size":"12.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1071"},{"id":464669,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1071/coverthb.jpg"},{"id":497896,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118058.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Barry Arm landslide","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -148.08474908024374,\n 61.17012644718048\n ],\n [\n -148.15558320312988,\n 61.17012644718048\n ],\n [\n -148.1702846248608,\n 61.12691732704323\n ],\n [\n -148.11415192370606,\n 61.12498100886924\n ],\n [\n -148.08474908024374,\n 61.17012644718048\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Geologic Hazards Science Center
U.S. Geological Survey
Box 25046, Mail Stop 966
Denver, CO 80225