{"pageNumber":"280","pageRowStart":"6975","pageSize":"25","recordCount":184769,"records":[{"id":70243214,"text":"70243214 - 2023 - Stimulation of aquatic bacteria from Mammoth Cave, Kentucky, by sublethal concentrations of antibiotics","interactions":[],"lastModifiedDate":"2023-10-11T15:27:24.500846","indexId":"70243214","displayToPublicDate":"2023-05-01T11:10:06","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2201,"text":"Journal of Cave and Karst Studies","active":true,"publicationSubtype":{"id":10}},"title":"Stimulation of aquatic bacteria from Mammoth Cave, Kentucky, by sublethal concentrations of antibiotics","docAbstract":"<p>Many microorganisms secrete secondary metabolites with antibiotic properties; however, there is debate whether the secretions evolved as a means to gain a competitive edge or as a chemical signal to coordinate community growth. The objective of this research was to investigate if select antibiotics acted as a weapon or as a chemical signal by exposing communities of aquatic cave bacteria to increasing concentrations of antibiotics. Water samples were collected from six cave locations where actinobacterial mats appeared to be plentiful. Bacterial growth was measured using colony counts on 10 % tryptic soy agar augmented with increasing concentrations of erythromycin, tetracycline, kanamycin, gentamicin, or quaternary ammonia compounds (QAC). Colony counts generally decreased as the gentamicin, kanamycin and QAC dose increased. In contrast, the colony numbers increased on agar plates supplemented with 0.01 mg L<sup>−1</sup>, 0.10 mg L<sup>−1</sup> and 1.00 mg L<sup>−1</sup> erythromycin or tetracycline. A 10.00 mg L<sup>−1</sup> dose of each antibiotic treatment reduced bacteria colonies by 98 % or more. Community-level physiological capabilities were evaluated using Ecolog plates inoculated with cave water dosed with either 0.00 mg L<sup>−1</sup> or 0.10 mg L<sup>−1</sup> of erythromycin. Incubation with the antibiotic almost doubled the number of food substrates used in the first 24 hours. There was a significant increase in the use of acetyl glucosamine, arginine, and putrescine when bacteria were exposed to 0.10 mg L<sup>−1</sup> erythromycin triggered by the antibiotic acting as a chemical messenger. Principal component analysis confirmed a shift in substrate preferences when erythromycin was added. A conceptual ecological model is proposed based on the response of aquatic cave bacteria to sublethal antibiotics. </p>","language":"English","publisher":"National Speleological Society","doi":"10.4311/2022MB0106","usgsCitation":"Byl, T.D., Byl, P.K., Byl, J.P., and Toomey, R., 2023, Stimulation of aquatic bacteria from Mammoth Cave, Kentucky, by sublethal concentrations of antibiotics: Journal of Cave and Karst Studies, v. 85, no. 1, p. 16-27, https://doi.org/10.4311/2022MB0106.","productDescription":"12 p.","startPage":"16","endPage":"27","ipdsId":"IP-065135","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":443673,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://doi.org/10.4311/2022mb0106","text":"Publisher Index Page"},{"id":435353,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7J1018X","text":"USGS data release","linkHelpText":"Average well color development data for water samples from six locations within the historic section of Mammoth Cave National Park, Kentucky"},{"id":418004,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kentucky","otherGeospatial":"Mammoth Cave","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -86.2828185616811,\n              37.28844220519747\n            ],\n            [\n              -86.2828185616811,\n              37.09470580139313\n            ],\n            [\n              -85.96018319973803,\n              37.09470580139313\n            ],\n            [\n              -85.96018319973803,\n              37.28844220519747\n            ],\n            [\n              -86.2828185616811,\n              37.28844220519747\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"85","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Byl, Thomas D. 0000-0001-6907-9149 tdbyl@usgs.gov","orcid":"https://orcid.org/0000-0001-6907-9149","contributorId":583,"corporation":false,"usgs":true,"family":"Byl","given":"Thomas","email":"tdbyl@usgs.gov","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":871489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byl, Petra Kim 0000-0002-9168-2603","orcid":"https://orcid.org/0000-0002-9168-2603","contributorId":304716,"corporation":false,"usgs":false,"family":"Byl","given":"Petra","email":"","middleInitial":"Kim","affiliations":[{"id":66150,"text":"Biological Oceanography University of Hawaii at Mānoa School of Ocean and Earth Science and Technology Department of Oceanography","active":true,"usgs":false}],"preferred":false,"id":875145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Byl, Jacob P. 0000-0001-7998-9795","orcid":"https://orcid.org/0000-0001-7998-9795","contributorId":304724,"corporation":false,"usgs":false,"family":"Byl","given":"Jacob","email":"","middleInitial":"P.","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":875146,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toomey, Rickard III","contributorId":306230,"corporation":false,"usgs":false,"family":"Toomey","given":"Rickard","suffix":"III","email":"","affiliations":[],"preferred":false,"id":875147,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70249412,"text":"70249412 - 2023 - Forecasting sea level rise-driven inundation in diked and tidally restricted coastal lowlands","interactions":[],"lastModifiedDate":"2023-10-06T15:44:12.015642","indexId":"70249412","displayToPublicDate":"2023-05-01T10:38:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting sea level rise-driven inundation in diked and tidally restricted coastal lowlands","docAbstract":"<p><span>Diked and drained coastal lowlands rely on hydraulic and protective infrastructure that may not function as designed in areas with relative sea-level rise. The slow and incremental loss of the hydraulic conditions required for a well-drained system make it difficult to identify if and when the flow structures no longer discharge enough water, especially in tidal settings where two-way flows occur through the dike. We developed and applied a hydraulic mass-balance model to quantify how water levels in the diked and tidally restricted coastal wetlands and water bodies dynamically respond to sea-level rise, specifically applied to the Herring River Estuary in MA, USA, from 2020 to 2100. Sensitivity testing of the model parameters indicated that primary outcomes were not sensitive to many of the chosen input values, though the terrestrial water input rate to the estuary and the flow coefficient for the hydraulic infrastructure were important. The relative importance of parameters, however, is expected to be site specific. We introduced a drainability metric that quantifies the net water volume drained over every tidal cycle to monitor and forecast how rising water levels on either side of the dike affected the net draining or impounding conditions of the system. Ensembles of model results across parameter and sea-level scenario uncertainties indicated that substantial impoundment of the Herring River Estuary was expected within ~ 20&nbsp;years with the existing flow structures, a sluice and two flap gates. Simulations with up to three additional gates did not dampen this trend toward impoundment, suggesting that rising impounded water levels are likely even with major construction upgrades. Increasingly impounded diked coastal waterbodies present a hydrologic challenge with socioecological implications due to projected flooding and ecosystem impacts. Solutions to this challenge may be to allow coastal wetland restoration pathways or require substantial and recurring infrastructure improvement projects.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-023-01174-1","usgsCitation":"Befus, K.A., Kurnizki, A., Kroeger, K.D., Eagle, M.J., and Smith, T.P., 2023, Forecasting sea level rise-driven inundation in diked and tidally restricted coastal lowlands: Estuaries and Coasts, v. 46, no. 6, p. 1157-1169, https://doi.org/10.1007/s12237-023-01174-1.","productDescription":"13 p.","startPage":"1157","endPage":"1169","ipdsId":"IP-145736","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":443675,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1007/s12237-023-01174-1","text":"Publisher Index Page"},{"id":421746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Herring River Estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -70.06356706053543,\n              41.92990690084844\n            ],\n            [\n              -70.0599719567331,\n              41.93094108028947\n            ],\n            [\n              -70.05877358879943,\n              41.93322334800044\n            ],\n            [\n              -70.05954054427677,\n              41.93450708770192\n            ],\n            [\n              -70.05915706653809,\n              41.9355411925597\n            ],\n            [\n              -70.05752728614821,\n              41.93611172599333\n         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Arkansas","active":true,"usgs":false}],"preferred":false,"id":885528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kurnizki, A","contributorId":330654,"corporation":false,"usgs":false,"family":"Kurnizki","given":"A","email":"","affiliations":[{"id":78949,"text":"epartment of Civil and Architectural Engineering, University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":885529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":885530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eagle, Meagan J. 0000-0001-5072-2755 meagle@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":242890,"corporation":false,"usgs":true,"family":"Eagle","given":"Meagan","email":"meagle@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":885531,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Timothy P.","contributorId":220144,"corporation":false,"usgs":false,"family":"Smith","given":"Timothy","email":"","middleInitial":"P.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":885532,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70243352,"text":"70243352 - 2023 - Techniques for restoring damaged Mojave and western Sonoran ecosystems, including those for threatened desert tortoises and Joshua trees","interactions":[],"lastModifiedDate":"2023-08-01T15:46:23.790221","indexId":"70243352","displayToPublicDate":"2023-05-01T10:34:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1380,"text":"Desert Plants","active":true,"publicationSubtype":{"id":10}},"title":"Techniques for restoring damaged Mojave and western Sonoran ecosystems, including those for threatened desert tortoises and Joshua trees","docAbstract":"<p>Ecological restoration has potential for contributing to conservation activities for threatened Mojave desert tortoises (<i>Gopherus agassizii</i>) and Joshua trees (<i>Yucca brevifolia</i>,<i> Y. jaegeriana</i>) and their broader ecosystems in the Mojave and western Sonoran deserts. To be effective, restoration actions deployed strategically need to halt and reverse habitat degradation, replenish or enhance resources used by both species (e.g., large shrubs for protection of tortoises and nurse plants facilitating recruitment of Joshua tree seedlings), and ideally foster resilience during likely future environmental changes. We synthesized restoration techniques and their effectiveness in the Mojave and western Sonoran deserts, provide estimated costs of candidate techniques, and anticipate future research needs for effective restoration in changing climates and environments. Over 50 published studies in the Mojave and western Sonoran deserts demonstrate that restoration can improve soil features (e.g., biocrusts), increase cover of native perennial and annual plants, enhance native seed retention and seed banks, and reduce risk of fires to conserve mature shrubland habitat. We placed restoration techniques into three categories: restoration of site environments, revegetation, and management actions to limit further disturbance and encourage recovery. Within these categories, 11 major restoration techniques (and their variations) were evaluated by at least one published study and range from geomorphic (e.g., reestablishing natural topographic patterns) and abiotic structural treatments (e.g., vertical mulching) to active revegetation (e.g., outplanting, seeding). For example, 16 outplanting studies assessed performance of 46 species to begin identifying top-performing species, associated treatments (e.g., protection from herbivory) required to aid outplant survival, and potential for outplants to trigger formation of self-sustaining populations. Creosote bush (Larrea tridentata), a shrub that tortoises use for cover and that serves as a nurse plant for Joshua tree recruitment, achieved at least 50% survival in five of eight studies. Estimated costs for restoring desert habitats varied primarily with the severity of the disturbance, site factors including the diversity of vegetation that was lost, logistical factors such as accessibility of sites (influencing transportation costs), and the cost-effectiveness of the restoration techniques chosen. The review highlights six major research and adaptive management needs for advancing desert habitat restoration. These needs include: 1) continued development of innovative techniques and bet-hedging approaches to provide managers with “tool boxes” of candidate treatments to deploy in dynamic environmental and management conditions, 2) identifying how to optimize spatial deployment of limited restoration resources, 3) developing practical techniques for reducing non-native annual grasses across spatial scales, 4) improving linkages between habitat enhancements and short- and long-term indicators of tortoise usage and responses and Joshua tree population sustainability, 5) mitigating multiple, interacting stressors with cumulative impacts, and 6) integrating biotic (e.g., seeding) and abiotic (e.g., fencing, shade structures) treatments to complement each other at site and landscape scales in dynamic climates and environments. It is possible that bet-hedging approaches employing multiple treatment types (or phased treatments across years) and greater incorporation of abiotic treatments, which are less sensitive to timing of precipitation compared with biotic treatments, will become increasingly important under future climates projected to be drier and more variable. Existing research suggests that restoration can be deployed effectively even under adverse climatic conditions, but success requires identifying suitable techniques tailored to dynamic environments.</p>","language":"English","publisher":"Boyce Thompson Arboretum","usgsCitation":"Abella, S.R., Berry, K.H., and Ferrazzano, S., 2023, Techniques for restoring damaged Mojave and western Sonoran ecosystems, including those for threatened desert tortoises and Joshua trees: Desert Plants, v. 38, no. 2, p. 4-52.","productDescription":"49 p.","startPage":"4","endPage":"52","ipdsId":"IP-147104","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":419476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416886,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://btarboretum.org/desert-plants-journal/"}],"country":"Mexico, United States","state":"Arizona, California, Nevada, Sonora","otherGeospatial":"Mohave Desert, Sonoran Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.40792003344728,\n              36.4817349450944\n            ],\n            [\n              -116.40792003344728,\n              31.379037948953112\n            ],\n            [\n              -110.3423561059686,\n              31.379037948953112\n            ],\n            [\n              -110.3423561059686,\n              36.4817349450944\n            ],\n            [\n              -116.40792003344728,\n              36.4817349450944\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"38","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Abella, Scott R","contributorId":266177,"corporation":false,"usgs":false,"family":"Abella","given":"Scott","email":"","middleInitial":"R","affiliations":[{"id":54937,"text":"University of Nevada Las Vegas, School of Life Sciences, Las Vegas, NV 89154-4004","active":true,"usgs":false}],"preferred":false,"id":872136,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":872137,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrazzano, Stefanie","contributorId":304977,"corporation":false,"usgs":false,"family":"Ferrazzano","given":"Stefanie","email":"","affiliations":[{"id":66198,"text":"Clark County Department of Environment and Sustainability, Desert Conservation Program","active":true,"usgs":false}],"preferred":false,"id":872138,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70243216,"text":"70243216 - 2023 - Incorporating uncertainty in susceptibility criteria into probabilistic liquefaction hazard analysis","interactions":[],"lastModifiedDate":"2023-05-09T15:31:01.80947","indexId":"70243216","displayToPublicDate":"2023-05-01T10:29:02","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Incorporating uncertainty in susceptibility criteria into probabilistic liquefaction hazard analysis","docAbstract":"Most conventional approaches for assessing liquefaction triggering hazards generally rely on simplified procedures that involve identifying liquefaction susceptible layers and calculating a factor of safety against liquefaction (FSL) in each layer. Such procedures utilize deterministic semi-empirical models for standard penetration test (SPT), cone penetrometer test (CPT), or shear wave velocity (Vs)-based subsurface data. This general approach largely neglects considerable uncertainties in ground shaking, as well as aleatory variabilities and epistemic uncertainties inherent to liquefaction susceptibility and triggering prediction. A more robust methodology introduced by Kramer and Mayfield (2007) is known as probabilistic liquefaction hazard analysis (PLHA), which integrates the full ground motion hazard space with probabilistic forms of liquefaction triggering models (e.g., Boulanger and Idriss 2014), resulting in the computation of FSL profiles with consistent return periods. Multiple PLHA computational platforms have been developed over the years, with the computational framework from Makdisi (2021) serving as the basis for a new Liquefaction Hazard Tool under development at the U.S. Geologic Survey (USGS).\nDespite significant improvements in recent years to the availability of seismic hazard data and probabilistic triggering and effects models, the issue of incorporating uncertainty in characterizing liquefaction susceptibility remains a challenge. Most compositional susceptibility criteria (i.e., whether or not the soil exhibits sand-like behavior) currently in use are presented as deterministic bounds based on in-situ or laboratory test data; similarly, determination of soil saturation is often based on a single groundwater level from in-situ testing. As a result, the same types of binary decisions must be made in PLHA as in more conventional methods. With the expansion and availability of field and laboratory data pertaining to liquefaction through resources such as the Next Generation Liquefaction (NGL) project, there exists the potential for an improved set of susceptibility models for CPT, SPT, and Vs-based applications. Presented here is a brief discussion on how probabilistic susceptibility modeling can be accommodated in PLHA calculations, as well as how the use of multiple models can be leveraged within a logic tree to improve the representation of epistemic uncertainty in liquefaction hazard analysis.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"PEER workshop on liquefaction susceptibility, PEER report 2023-02","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Pacific Earthquake Engineering Research Center","doi":"10.55461/BPSK6314","usgsCitation":"Makdisi, A.J., 2023, Incorporating uncertainty in susceptibility criteria into probabilistic liquefaction hazard analysis, <i>in</i> PEER workshop on liquefaction susceptibility, PEER report 2023-02, p. 147-149, https://doi.org/10.55461/BPSK6314.","productDescription":"3 p.","startPage":"147","endPage":"149","ipdsId":"IP-143255","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":443677,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.55461/bpsk6314","text":"Publisher Index Page"},{"id":416863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Makdisi, Andrew James 0000-0002-8239-0692","orcid":"https://orcid.org/0000-0002-8239-0692","contributorId":267917,"corporation":false,"usgs":true,"family":"Makdisi","given":"Andrew","email":"","middleInitial":"James","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":871493,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70246248,"text":"70246248 - 2023 - MTAB 104, May 2023","interactions":[],"lastModifiedDate":"2023-06-28T15:07:04.501759","indexId":"70246248","displayToPublicDate":"2023-05-01T10:05:50","publicationYear":"2023","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":13451,"text":"Memo to All Banders (MTAB)","active":true,"publicationSubtype":{"id":30}},"title":"MTAB 104, May 2023","docAbstract":"This Memo to All Banders (MTAB 104) was released in May 2023. Subjects in this memo are 1. The Chief’s Chirp; 2. Alerts – Highly Pathogenic Avian Influenza and reminder that banders cannot submit data through Bandit, only manage data; 3. Staff updates – Jennifer McKay joins the BBL; 4. News – Database migration is happening now!, Bird Banding Lab data and window collisions;  5. A note from the permitting shelves – last call for fall banding season permitting, social media recommendations, and permittees check your contact information; 6. A note from the supply room – 1C bands available; 7. Data management – Bander Portal video tutorials, Bander Portal Portal Office Hours, how to contact us, and status codes for banded birds taken from artificial nest structures; 8. Frequently asked questions – what’s the difference between encounters and recaptures?; 9. Auxiliary marker corner; 10. Banding and encounter highlights; 11. Message to the Flyways - including Canada and Cackling Geese code updates; 12. Moments in history; 13. Recent Publications; 14. Upcoming events; and 15. Request for information.","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Harvey, K., 2023, MTAB 104, May 2023: Memo to All Banders (MTAB), 12 p.","productDescription":"12 p.","ipdsId":"IP-153810","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":418589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418568,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/media/files/mtab-104-may-2023"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Kyra 0000-0003-4781-1874","orcid":"https://orcid.org/0000-0003-4781-1874","contributorId":296250,"corporation":false,"usgs":true,"family":"Harvey","given":"Kyra","email":"","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":876399,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70245189,"text":"70245189 - 2023 - Exploring the geology of the Midcontinent Rift under western Lake Superior using a preliminary velocity model of seismic line GLIMPCE C","interactions":[],"lastModifiedDate":"2023-09-28T14:31:13.326929","indexId":"70245189","displayToPublicDate":"2023-05-01T09:24:24","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Exploring the geology of the Midcontinent Rift under western Lake Superior using a preliminary velocity model of seismic line GLIMPCE C","docAbstract":"<p>Seismic-reflection data were collected in the 1980s as part of the Great Lakes International Multidisciplinary Program on Crustal Evolution (GLIMPCE) to investigate the 1.1 Ga Midcontinent Rift System (MRS). GLIMPCE Line C crosses western Lake Superior from north to south shores (Fig. 1 inset). Many previous workers have interpreted the MRS in Line C as an asymmetric central graben filled with 10–20 km of subaerial basalt flows, overlain by 7-10 km of sedimentary section, and underlain by magmatic underplating. The central graben was interpreted to have formed from extensional normal faults, later reactivated as high-angle reverse faults. The northern part of Line C crosses over a prominent gravity low called the Grand Marais Ridge (GMR; Fig. 1 inset), previously interpreted as an Archean granitic basement high. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 69th ILSG annual meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Institute on Lake Superior Geology 69th Annual Meeting","conferenceDate":"April 23-24, 2023","conferenceLocation":"Eau Claire, WI","language":"English","publisher":"Institute on Lake Superior Geology","usgsCitation":"Grauch, V.J., Heller, S.J., Stewart, E.K., and Woodruff, L.G., 2023, Exploring the geology of the Midcontinent Rift under western Lake Superior using a preliminary velocity model of seismic line GLIMPCE C, <i>in</i> Proceedings of the 69th ILSG annual meeting, Eau Claire, WI, April 23-24, 2023, p. 37-38.","productDescription":"2 p.","startPage":"37","endPage":"38","ipdsId":"IP-151610","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":421345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":418275,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.lakesuperiorgeology.org/"}],"country":"United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.46510586137026,\n              47.59708757842765\n            ],\n            [\n              -90.52262719746251,\n              47.033420504728184\n            ],\n            [\n              -89.41926338696646,\n              47.03699042088601\n            ],\n            [\n              -89.52384763440693,\n              47.67106063862627\n            ],\n            [\n              -90.46510586137026,\n              47.59708757842765\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grauch, V. J. S. 0000-0002-0761-3489 tien@usgs.gov","orcid":"https://orcid.org/0000-0002-0761-3489","contributorId":886,"corporation":false,"usgs":true,"family":"Grauch","given":"V.","email":"tien@usgs.gov","middleInitial":"J. S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":875800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heller, Samuel J. 0000-0002-6579-5620 sheller@usgs.gov","orcid":"https://orcid.org/0000-0002-6579-5620","contributorId":201350,"corporation":false,"usgs":true,"family":"Heller","given":"Samuel","email":"sheller@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":875801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Esther K.","contributorId":247878,"corporation":false,"usgs":false,"family":"Stewart","given":"Esther","email":"","middleInitial":"K.","affiliations":[{"id":39043,"text":"Wisconsin Geological and Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":875802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":875803,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70246535,"text":"70246535 - 2023 - Subsurface characterization of the Duluth Complex and related intrusions from 3D modeling of gravity and magnetotelluric data","interactions":[],"lastModifiedDate":"2023-09-28T14:14:46.847767","indexId":"70246535","displayToPublicDate":"2023-05-01T09:14:04","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Subsurface characterization of the Duluth Complex and related intrusions from 3D modeling of gravity and magnetotelluric data","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of the 69th ILSG annual meeting","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Institute on Lake Superior Geology 69th Annual Meeting","conferenceDate":"April 24-25, 2023","conferenceLocation":"Eau Claire, WI","language":"English","publisher":"Institute on Lake Superior Geology","usgsCitation":"Peterson, D.E., Bedrosian, P.A., and Finn, C., 2023, Subsurface characterization of the Duluth Complex and related intrusions from 3D modeling of gravity and magnetotelluric data, <i>in</i> Proceedings of the 69th ILSG annual meeting, v. 69, Eau Claire, WI, April 24-25, 2023, p. 63-64.","productDescription":"2","startPage":"63","endPage":"64","ipdsId":"IP-151647","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":421344,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":421343,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.lakesuperiorgeology.org/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Minnesota","otherGeospatial":"Duluth Complex","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.33841098115533,\n              46.60889668098744\n            ],\n            [\n              -92.06873570973505,\n              46.77233950080557\n            ],\n            [\n              -91.20990186562136,\n              47.3068599853257\n            ],\n            [\n              -90.74627730696767,\n              47.61551630804743\n            ],\n            [\n              -89.53957926670478,\n              48.018149448034876\n            ],\n            [\n              -90.80965661623506,\n              48.13833346173527\n            ],\n            [\n              -92.12116043915276,\n              47.51332134203204\n            ],\n            [\n              -92.89697287085113,\n              46.80490236888849\n            ],\n            [\n              -92.53462077271212,\n              46.43611775146357\n            ],\n            [\n              -92.33841098115533,\n              46.60889668098744\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"69","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, Dana E. 0000-0002-1941-265X","orcid":"https://orcid.org/0000-0002-1941-265X","contributorId":225536,"corporation":false,"usgs":true,"family":"Peterson","given":"Dana","email":"","middleInitial":"E.","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true}],"preferred":true,"id":877082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Paul A. 0000-0002-6786-1038 pbedrosian@usgs.gov","orcid":"https://orcid.org/0000-0002-6786-1038","contributorId":839,"corporation":false,"usgs":true,"family":"Bedrosian","given":"Paul","email":"pbedrosian@usgs.gov","middleInitial":"A.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":877083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Finn, Carol A. 0000-0002-6178-0405","orcid":"https://orcid.org/0000-0002-6178-0405","contributorId":229711,"corporation":false,"usgs":true,"family":"Finn","given":"Carol A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":877084,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70256491,"text":"70256491 - 2023 - A highly-contiguous and annotated genome assembly of the Lesser Prairie-Chicken (Tympanuchus pallidicinctus).","interactions":[],"lastModifiedDate":"2024-08-19T13:25:20.109808","indexId":"70256491","displayToPublicDate":"2023-05-01T08:14:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3832,"text":"Genome Biology and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A highly-contiguous and annotated genome assembly of the Lesser Prairie-Chicken (<i>Tympanuchus pallidicinctus</i>).","title":"A highly-contiguous and annotated genome assembly of the Lesser Prairie-Chicken (Tympanuchus pallidicinctus).","docAbstract":"<p><span>The Lesser Prairie-Chicken (</span><i>Tympanuchus pallidicinctus</i><span>; LEPC) is an iconic North American prairie grouse, renowned for ornate and spectacular breeding season displays. Unfortunately, the species has disappeared across much of its historical range, with corresponding precipitous declines in contemporary population abundance, largely due to climatic and anthropogenic factors. These declines led to a 2022 US Fish and Wildlife decision to identify and list two distinct population segments (DPSs; i.e., northern and southern DPSs) as threatened or endangered under the 1973 Endangered Species Act. Herein, we describe an annotated reference genome that was generated from a LEPC sample collected from the southern DPS. We chose a representative from the southern DPS because of the potential for introgression in the northern DPS, where some populations hybridize with the Greater Prairie-Chicken (</span><i>Tympanuchus cupido</i><span>). This new LEPC reference assembly consists of 206 scaffolds, an N50 of 45 Mb, and 15,563 predicted protein-coding genes. We demonstrate the utility of this new genome assembly by estimating genome-wide heterozygosity in a representative LEPC and in related species. Heterozygosity in a LEPC sample was 0.0024, near the middle of the range (0.0003–0.0050) of related species. Overall, this new assembly provides a valuable resource that will enhance evolutionary and conservation genetic research in prairie grouse.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/gbe/evad043","usgsCitation":". Black, A., Bondo, K., Mularo, A., Hernandez, A., Yu, Y., Stein, C.M., Gregory, A., Fricke, K., Prendergast, J., Sullins, D., Haukos, D.A., Whitson, M., Grisham, B., Lowe, Z., and DeWoody, J., 2023, A highly-contiguous and annotated genome assembly of the Lesser Prairie-Chicken (Tympanuchus pallidicinctus).: Genome Biology and Evolution, v. 15, no. 4, evad043, 6 p., https://doi.org/10.1093/gbe/evad043.","productDescription":"evad043, 6 p.","ipdsId":"IP-150098","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":443679,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gbe/evad043","text":"Publisher Index Page"},{"id":432882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-03-17","publicationStatus":"PW","contributors":{"authors":[{"text":". Black, Andrew N","contributorId":340873,"corporation":false,"usgs":false,"family":". Black","given":"Andrew N","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":907623,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bondo, Kristin J.","contributorId":340874,"corporation":false,"usgs":false,"family":"Bondo","given":"Kristin J.","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":907624,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mularo, Andrew","contributorId":340875,"corporation":false,"usgs":false,"family":"Mularo","given":"Andrew","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":907625,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hernandez, Alvaro","contributorId":340876,"corporation":false,"usgs":false,"family":"Hernandez","given":"Alvaro","email":"","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":907626,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yu, Yachi","contributorId":340877,"corporation":false,"usgs":false,"family":"Yu","given":"Yachi","email":"","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":907627,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stein, Carleigh M.","contributorId":340878,"corporation":false,"usgs":false,"family":"Stein","given":"Carleigh","email":"","middleInitial":"M.","affiliations":[{"id":34637,"text":"University of North Texas","active":true,"usgs":false}],"preferred":false,"id":907628,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gregory, Andy","contributorId":340879,"corporation":false,"usgs":false,"family":"Gregory","given":"Andy","affiliations":[{"id":34637,"text":"University of North Texas","active":true,"usgs":false}],"preferred":false,"id":907629,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fricke, Kent A.","contributorId":340880,"corporation":false,"usgs":false,"family":"Fricke","given":"Kent A.","affiliations":[{"id":81167,"text":"Kansas Department of Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":907630,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Prendergast, Jeff","contributorId":340881,"corporation":false,"usgs":false,"family":"Prendergast","given":"Jeff","affiliations":[{"id":81167,"text":"Kansas Department of Wildlife and Parks","active":true,"usgs":false}],"preferred":false,"id":907631,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sullins, Dan","contributorId":340882,"corporation":false,"usgs":false,"family":"Sullins","given":"Dan","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":907632,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","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":907633,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Whitson, Michael","contributorId":340883,"corporation":false,"usgs":false,"family":"Whitson","given":"Michael","email":"","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":907634,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Grisham, Blake","contributorId":340884,"corporation":false,"usgs":false,"family":"Grisham","given":"Blake","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":907635,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Lowe, Zach","contributorId":340885,"corporation":false,"usgs":false,"family":"Lowe","given":"Zach","email":"","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":907636,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"DeWoody, J. Andrew","contributorId":340886,"corporation":false,"usgs":false,"family":"DeWoody","given":"J. Andrew","affiliations":[{"id":13186,"text":"Purdue University","active":true,"usgs":false}],"preferred":false,"id":907637,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70248070,"text":"70248070 - 2023 - Constraints on the composition and thermal structure of Ariel’s icy crust as inferred from its largest observed impact crater","interactions":[],"lastModifiedDate":"2023-09-05T13:15:19.774773","indexId":"70248070","displayToPublicDate":"2023-05-01T08:10:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Constraints on the composition and thermal structure of Ariel’s icy crust as inferred from its largest observed impact crater","docAbstract":"<p><span>The large graben-like troughs and smooth plains visible on the surface of Ariel are indicative of a period of high heat flow in the Uranian moon's past. High heat flows on icy&nbsp;moons&nbsp;like Ariel can also enable&nbsp;viscous flow&nbsp;that removes impact crater topography, a process called viscous relaxation. Here we use&nbsp;numerical modeling&nbsp;to investigate the conditions necessary to viscously relax Ariel's largest impact crater, Yangoor, which is 80&nbsp;km in diameter and unusually shallow. If we assume that Ariel's crust consists of non-porous water ice, heat fluxes ≥60&nbsp;mW&nbsp;m</span><sup>−2</sup><span>&nbsp;are required to reduce an initially deep Yangoor-like crater to its current observed depth. Lower fluxes are required if a high-porosity (30%), low-conductivity surface layer several kilometers thick is assumed to exist, but in any case, fluxes in excess of 30&nbsp;mW&nbsp;m</span><sup>−2</sup><span>&nbsp;are necessary to substantially reduce Yangoor's topography. The inclusion of ammonia dihydrate has a negligible effect on our results despite decreasing the viscosity of Ariel's deep ice. Our results are consistent with previous inferences of high heat fluxes on Ariel, but exceed both expected radiogenic heat fluxes and known equilibrium tidal heat fluxes by an order of magnitude. If Yangoor's shallow depth is the result of tidal heating, then short-lived non-equilibrium tidal dissipation or some other source of energy is required. Notably, although our results do not require the presence of an ocean within Ariel, the thermal conditions necessary to viscously relax Yangoor also imply a relatively thin ice shell (∼10-km thick) if conductive&nbsp;heat transport&nbsp;is assumed.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2023.115452","usgsCitation":"Bland, M.T., Beddingfield, C.B., Nordheim, T.A., Patthoff, D.A., and Vance, S.D., 2023, Constraints on the composition and thermal structure of Ariel’s icy crust as inferred from its largest observed impact crater: Icarus, v. 395, 115452, 11 p., https://doi.org/10.1016/j.icarus.2023.115452.","productDescription":"115452, 11 p.","ipdsId":"IP-144468","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":443681,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.icarus.2023.115452","text":"Publisher Index Page"},{"id":420471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Ariel, Uranus, Yangoor","volume":"395","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":881746,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beddingfield, Chloe B.","contributorId":328939,"corporation":false,"usgs":false,"family":"Beddingfield","given":"Chloe","email":"","middleInitial":"B.","affiliations":[{"id":78531,"text":"Seti Institute / NASA Ames","active":true,"usgs":false}],"preferred":false,"id":881747,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nordheim, Tom A.","contributorId":328940,"corporation":false,"usgs":false,"family":"Nordheim","given":"Tom","email":"","middleInitial":"A.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":881748,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patthoff, Donald A.","contributorId":238744,"corporation":false,"usgs":false,"family":"Patthoff","given":"Donald","email":"","middleInitial":"A.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":881749,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vance, Steven D.","contributorId":328942,"corporation":false,"usgs":false,"family":"Vance","given":"Steven","email":"","middleInitial":"D.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":881750,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70243238,"text":"70243238 - 2023 - A multi-level assessment of biological effects associated with mercury concentrations in smallmouth bass, Micropterus dolomieu","interactions":[],"lastModifiedDate":"2023-05-05T12:19:24.061258","indexId":"70243238","displayToPublicDate":"2023-05-01T07:14:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"A multi-level assessment of biological effects associated with mercury concentrations in smallmouth bass, Micropterus dolomieu","docAbstract":"<div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Total mercury (THg) was measured in muscle (fillet) and liver tissue of adult smallmouth bass<span>&nbsp;</span><i>Micropterus dolomieu</i><span>&nbsp;collected at multiple sites in the Potomac and Susquehanna River drainages within the&nbsp;Chesapeake Bay&nbsp;watershed. Smallmouth bass in these drainages have experienced episodic mortality events, a high prevalence of skin lesions and reproductive endocrine disruption (intersex or testicular&nbsp;oocytes&nbsp;and plasma vitellogenin in males). A multi-level assessment of general and reproductive health including indicators at the organismal, organ, cellular and molecular levels was conducted on adult smallmouth bass during the spring (prespawn) season. Concentrations of THg were correlated with increased visible abnormalities, increased macrophage aggregates and tissue parasite burdens. In male bass positive correlations of THg were observed with plasma vitellogenin and hepatic transcript abundance of estrogen receptor β1 and androgen receptor α, while there was a negative association with estrogen receptors α and β2 and androgen receptors β. In female bass there was a negative correlation between THg and plasma vitellogenin as well as hepatic transcript abundance of vitellogenin, choriogenin, estrogen receptor β2 and 17β hydroxysteroid&nbsp;dehydrogenase. Associations of THg concentrations with various biological indicators suggest mercury may be an important environmental stressor contributing to the observed adverse effects in smallmouth bass populations.</span></p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2023.121688","usgsCitation":"Blazer, V., Walsh, H.L., Sperry, A., Raines, B., Willacker, J., and Eagles-Smith, C., 2023, A multi-level assessment of biological effects associated with mercury concentrations in smallmouth bass, Micropterus dolomieu: Environmental Pollution, v. 392, 121688, 11 p., https://doi.org/10.1016/j.envpol.2023.121688.","productDescription":"121688, 11 p.","ipdsId":"IP-142236","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":435354,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9418S5I","text":"USGS data release","linkHelpText":"Biological Indicators and Mercury Concentrations in Smallmouth Bass"},{"id":416756,"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              -75.7050690262425,\n              38.34492249955525\n            ],\n            [\n              -75.7050690262425,\n              41.373316260150034\n            ],\n            [\n              -81.34132806363009,\n              41.373316260150034\n            ],\n            [\n              -81.34132806363009,\n              38.34492249955525\n            ],\n            [\n              -75.7050690262425,\n              38.34492249955525\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"392","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Blazer, Vicki S. 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":150384,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":871652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":871653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sperry, Adam 0000-0002-4815-3730","orcid":"https://orcid.org/0000-0002-4815-3730","contributorId":203243,"corporation":false,"usgs":true,"family":"Sperry","given":"Adam","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":871654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raines, Brenna","contributorId":304802,"corporation":false,"usgs":false,"family":"Raines","given":"Brenna","email":"","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":871655,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Willacker, James 0000-0002-6286-5224","orcid":"https://orcid.org/0000-0002-6286-5224","contributorId":221744,"corporation":false,"usgs":true,"family":"Willacker","given":"James","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":871657,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":871656,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70242056,"text":"70242056 - 2023 - Asteroid impacts and cascading hazards","interactions":[],"lastModifiedDate":"2024-02-23T17:24:45.821145","indexId":"70242056","displayToPublicDate":"2023-04-30T11:23:53","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Asteroid impacts and cascading hazards","docAbstract":"The initial effects from an asteroid impact are generally well characterized and include thermal radiation and blast waves. If the impactor is sufficiently large, either an earthquake or tsunami can also result, depending on whether the impact occurs over land or water.  However, the longer-term effects that extend beyond the area initially affected are less well characterized. Because regional effects not only depend on the size of the impactor, but also on the location and timing of the event, case studies of impact events in various regions should be conducted to better understand how asteroid impact induced cascading hazards may vary. For this study, we use the initial impact effects from an 800-m asteroid strike at two locations: Dallas, TX, USA and Jebba, Nigeria. A detailed analysis of the regional impacts on Texas and Nigeria will be presented at the time of the conference.","conferenceTitle":"8th IAA Planetary Defense Conference","conferenceDate":"April 3-7, 2023","conferenceLocation":"Vienna, Austria","language":"English","publisher":"International Academy of Astronautics","usgsCitation":"Titus, T.N., Robertson, D., Sankey, J., and Mastin, L.G., 2023, Asteroid impacts and cascading hazards, 8th IAA Planetary Defense Conference, Vienna, Austria, April 3-7, 2023, 14 p.","productDescription":"14 p.","ipdsId":"IP-151320","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":425952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":425951,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://iaaspace.org/event/8th-iaa-planetary-defense-conference-2023/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":868712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robertson, D. G.","contributorId":178727,"corporation":false,"usgs":false,"family":"Robertson","given":"D. G.","affiliations":[],"preferred":false,"id":868714,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":868716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mastin, Larry G. 0000-0002-4795-1992","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":265985,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":868718,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70246973,"text":"70246973 - 2023 - First investigations on lamprey responses to elevated total dissolved gas exposure and risk of gas bubble trauma","interactions":[],"lastModifiedDate":"2023-07-20T12:08:25.282241","indexId":"70246973","displayToPublicDate":"2023-04-30T07:06:31","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"First investigations on lamprey responses to elevated total dissolved gas exposure and risk of gas bubble trauma","docAbstract":"A flexible spill program in the federal Columbia River power system increased the total dissolved gas (TDG) water quality standards (i.e., the gas cap) from 120% to 125%. Spill is used to pass juvenile salmon (Oncorhynchus spp.) over dams, but it can generate elevated TDG, and exposed fish can develop gas bubble trauma (GBT) or experience mortality. Juvenile salmon are monitored for GBT through the Fish Passage Center’s (FPC), and under the flexible spill program, native non-salmonid fishes are also monitored. Pacific Lamprey (Entosphenus tridentatus) are exposed to elevated TDG, but nothing is known about their risk for GBT. This project is the first to evaluate GBT in lamprey, beginning with larval and juvenile lamprey in a controlled laboratory setting. These early life stages were chosen for this initial work because they have been shown to be more sensitive to GBT in other fish species. We modified the FPC protocol for GBT exams to be specific to lamprey and ranked bubbles in the mouth, eyes (juveniles only), gill pores, first and second dorsal fins, caudal fin, anal fin, vent, and body. We followed the FPC ranking criteria and assigned rank based on the proportion of the area occluded with bubbles, as 0=no bubbles, 1=1-5%, 2=6-25%, 3=26-50%, and 4=>50%. \n\nFour experiments were completed with larval lamprey from January to September 2022 using small (70 mm total length or less) and large (86 mm total length or greater) larvae in approximately equal proportions. Experiments included: (1) 130% TDG for 31 d, (2) 125% TDG for 91 d, (3) 130% TDG for 20 d with assessments of burrowing performance, and (4) 128-138% TDG for 3-4 d with assessments of predator avoidance ability and the corresponding untreated control groups.\n \nThe first and second experiments had similar study designs and findings. First, we tested an acute exposure at 130% TDG and then we tested a chronic exposure at 125%, to represent a full spill season. None of the controls (exposed to normally saturated water) experienced mortality or showed GBT signs. Few lamprey in the treatment groups (5% in Experiment 1; 0% in Experiment 2) showed GBT signs, and there were no mortalities (n=200 fish experiment 1; n=100 fish Experiment 2). Lamprey with GBT signs had bubbles on the body, with low severity ranks. During external exams for Experiment 2, we observed bubbles in the gut of several lamprey. The light coloration and transparency of the body made these observations possible, and we confirmed the finding with internal exams. From day 9 to day 91, 70.8% of the lamprey examined had bubbles in the gut. We observed five lamprey that were positively buoyant in the test tanks, and we likely underestimated the prevalence of floating as our procedures were not \ninitially designed to document this sign. \n\nIn our third experiment, burrowing performance was not significantly different between lamprey exposed to 130% TDG and controls. Mortality was 4.2% in the treatment group, but no GBT signs were observed. The proportion of lamprey with positive buoyancy increased through time, with 87.5% of fish floating on day 20 (end of the test). Bubbles in the gut were observed for some lamprey on each of five sampling dates (day 2 to 20), with prevalence ranging from 50-100%. Median burrow times ranged from 28 to 154 sec for treatment fish and from 40 to 100 sec for controls. We noted some atypical behaviors during burrow performance tests, including lamprey that were positively buoyant and unable to descend through 0.5 m of water to reach the sediment as well as lamprey that were unable to complete burrowing (within 10 min test period). These lamprey were so buoyant that they repeatedly floated to the surface of the water when they stopped or slowed their burrowing movements.\n \nPredator avoidance ability was assessed in our fourth experiment by exposing lamprey with GBT signs (floating) and controls to sculpin (Cottus spp.) until about 50% of the fish had been consumed or 2 h had passed. We completed five predation trials, testing the hypothesis that an equal proportion of treatment and control lamprey would be consumed. Treatment groups were generated by exposing 15 lamprey to 128-138% TDG for 3-4 d, until at least 10 lamprey were floating. Overall, 41 treatment and 46 control fish were eaten and there was no evidence that sculpin preferentially preyed upon lamprey with GBT signs. Additional tests with another predator are recommended. \n\nTwo experiments were completed with juvenile lamprey from March to November 2022: Experiment 5 exposed fish to 125% TDG for 10 d and Experiment 6 exposed fish to 125% for 16 d. Mortality rates for the treatment groups were 21.7% and 20.0% for these experiments, respectively, and few lamprey (4 per experiment) showed GBT signs. With the results from experiments pooled, bubbles were observed in all body areas with low severity ranks (means 0-1). We observed some exophthalmia and bubbles behind the gill pores, in addition to bubbles in the gut and fish floating. The presence of bubbles in or near the gill pores was the likely cause of death as exam findings included enlarged gill pore areas and restricted openings.\n \nThis project provided the first insights into lamprey responses to elevated TDG, but substantial learning opportunities remain. Our findings highlight that lamprey are vulnerable to GBT, but the effects are generally sublethal and would not be detected using FPC exam procedures. For example, we observed larval and juvenile lamprey that had bubbles in the gut and/or were floating, although these conditions were not consistently linked. More data are needed, but we surmise that it takes some time for bubbles to form in sufficient quantity to create the floatation required to overcome the mass of the lamprey. Positive buoyancy in natural settings could have substantial impacts to the risk of mortality for lamprey. Future studies could test GBT risk for larval lamprey in burrows, investigate the influence of lamprey size, measure performance (e.g., burrowing, swimming, predator avoidance ability) after elevated TDG exposure, and describe the rate that GBT signs dissipate when lamprey are returned to normally saturated water.","language":"English","publisher":"Bonneville Power Administration","collaboration":"Bonneville Power Administration","usgsCitation":"Liedtke, T.L., Tiffan, K., Weiland, L.K., and Ekstrom, B.K., 2023, First investigations on lamprey responses to elevated total dissolved gas exposure and risk of gas bubble trauma, 39 p.","productDescription":"39 p.","ipdsId":"IP-151469","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":419180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":419173,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cbfish.org/Document.mvc/Viewer/P199259"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Liedtke, Theresa L. 0000-0001-6063-9867 tliedtke@usgs.gov","orcid":"https://orcid.org/0000-0001-6063-9867","contributorId":2999,"corporation":false,"usgs":true,"family":"Liedtke","given":"Theresa","email":"tliedtke@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":878424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tiffan, Kenneth 0000-0002-5831-2846","orcid":"https://orcid.org/0000-0002-5831-2846","contributorId":217812,"corporation":false,"usgs":true,"family":"Tiffan","given":"Kenneth","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":878425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weiland, Lisa K. 0000-0002-9729-4062 lweiland@usgs.gov","orcid":"https://orcid.org/0000-0002-9729-4062","contributorId":3565,"corporation":false,"usgs":true,"family":"Weiland","given":"Lisa","email":"lweiland@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":878426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ekstrom, Brian K. 0000-0002-1162-1780 bekstrom@usgs.gov","orcid":"https://orcid.org/0000-0002-1162-1780","contributorId":3704,"corporation":false,"usgs":true,"family":"Ekstrom","given":"Brian","email":"bekstrom@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":878427,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70243276,"text":"70243276 - 2023 - So goes the snow: Alaska snowpack changes and impacts on pacific salmon in a warming climate","interactions":[],"lastModifiedDate":"2023-05-05T11:38:45.159335","indexId":"70243276","displayToPublicDate":"2023-04-30T06:36:59","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"So goes the snow: Alaska snowpack changes and impacts on pacific salmon in a warming climate","docAbstract":"In Alaska’s watersheds, climate change is altering the nature and role of the snowpack, defined as snow accumulation that melts in spring. Generally, the amount of precipitation that falls as snow and the length of the snow-cover season both decrease as temperatures exceed 0°C (32°F) more frequently. The impacts of climate change on snowpack vary among watersheds. In southern, coastal parts of Alaska, large decreases in spring snowpack are expected by the mid-21st century, even with more winter precipitation because temperatures warm to above freezing, causing a shift from snow to rain or more melt during the winter. In contrast, modest early spring increases in the snowpack are expected in watersheds where temperatures remain below freezing. In these locations temperatures warm but remain cold enough for the extra winter precipitation to fall as snow, even though the snowpack will begin accumulating later in the fall and melt earlier in the spring as temperatures rise during those warmer seasons. Because potential impacts on hydrological and ecological systems will vary among watersheds, it is difficult to generalize the resulting ecological impacts at broad spatial scales. Here, we explore likely impacts on hydrology in critical anadromous fish habitat in southwest Alaska.","language":"English","publisher":"US National Park Service","usgsCitation":"Littell, J., Reynolds, J.H., Bartz, K.K., McAfee, S., and Hayward, G.D., 2023, So goes the snow: Alaska snowpack changes and impacts on pacific salmon in a warming climate: Alaska Park Science, v. 19, no. 1, p. 62-75.","productDescription":"14 p.","startPage":"62","endPage":"75","ipdsId":"IP-112750","costCenters":[{"id":49028,"text":"Alaska Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":416748,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":416743,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.nps.gov/articles/aps-19-1-10.htm"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -167.0502487962713,\n              69.32812262696825\n            ],\n            [\n              -167.0502487962713,\n              63.68078746979131\n            ],\n            [\n              -146.31697991983825,\n              63.68078746979131\n            ],\n            [\n              -146.31697991983825,\n              69.32812262696825\n            ],\n            [\n              -167.0502487962713,\n              69.32812262696825\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"19","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Littell, Jeremy S. 0000-0002-5302-8280","orcid":"https://orcid.org/0000-0002-5302-8280","contributorId":205907,"corporation":false,"usgs":true,"family":"Littell","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":871776,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Joel H.","contributorId":140498,"corporation":false,"usgs":false,"family":"Reynolds","given":"Joel","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":871777,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bartz, Krista K.","contributorId":200705,"corporation":false,"usgs":false,"family":"Bartz","given":"Krista","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":871778,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAfee, Stephanie A.","contributorId":167115,"corporation":false,"usgs":false,"family":"McAfee","given":"Stephanie A.","affiliations":[{"id":24618,"text":"Department of Geography, University of Nevada, Reno, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":871779,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hayward, Gregory D.","contributorId":209846,"corporation":false,"usgs":false,"family":"Hayward","given":"Gregory","email":"","middleInitial":"D.","affiliations":[{"id":38010,"text":"US Forest Service, Alaska Region","active":true,"usgs":false}],"preferred":false,"id":871780,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70241229,"text":"sir20235006 - 2023 - Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Results","interactions":[],"lastModifiedDate":"2026-03-02T18:01:49.725089","indexId":"sir20235006","displayToPublicDate":"2023-04-28T13:18:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5006","displayTitle":"Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017—Results","title":"Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Results","docAbstract":"<p>Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management in Georgia, South Carolina, and North Carolina. Annual peak flows measured at U.S. Geological Survey streamgages are used to compute flood‑frequency estimates at those streamgages. However, flood‑frequency estimates also are needed at ungaged stream locations. A process known as regionalization was used to develop regression equations to estimate the magnitude and frequency of floods at ungaged locations.</p><p>A multistate approach was used to update estimates of the magnitude and frequency of floods in rural, ungaged basins in Georgia, South Carolina, and North Carolina. Annual peak-flow data through September 2017 were analyzed for 965 streamgages with 10 or more years of data on rural streams in Georgia, South Carolina, North Carolina, and adjacent parts of Alabama, Florida, Tennessee, and Virginia. Flood‑frequency estimates of the 50‑, 20‑, 10‑, 4‑, 2‑, 1‑, 0.5‑, and 0.2‑percent annual exceedance probability streamflows, which correspond to flood-recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years, respectively, were computed for the 965 streamgages following national guidelines. As part of the computation of flood‑frequency estimates for the streamgages, an updated value for the regional skew coefficient (0.048) was developed using a Bayesian generalized least squares regression model. The new regional skew has a mean square error or average variance of prediction of 0.092. Additionally, basin characteristics for these stations were computed using a geographical information system.</p><p>Exploratory analyses on the 965 streamgages confirmed the five hydrologic regions for Georgia, South Carolina, and North Carolina defined in a previous rural flood‑frequency study. From the 965 streamgages, streamgages with 30 or more years of record were used to complete a peak-flow trend analysis. Of the 965 streamgages, 164 streamgages were found to be redundant and were excluded from the regional regression analyses. Data from the remaining 801 streamgages (292 in Georgia, 75 in South Carolina, 303 in North Carolina, 15 in Alabama, 12 in Florida, 39 in Tennessee, and 65 in Virginia) were used in a regional regression analysis relating basin characteristics to flood‑frequency estimates. This analysis, based on generalized least squares regression, was used to develop a set of predictive equations to estimate the 50‑, 20‑, 10‑, 4‑, 2‑, 1‑, 0.5‑, and 0.2‑percent annual exceedance probability streamflows for rural, ungaged basins in Georgia, South Carolina, and North Carolina. The final set of predictive equations are all functions of drainage area and percentage of the drainage basin within each of the five hydrologic regions. Average errors of prediction for these regression equations range from 35.8 to 44.4 percent.</p><p>Flood‑frequency estimates also were computed for 72 regulated (for example, a streamgage where flow is altered by a dam or weir) streamgages in Georgia, South Carolina, and North Carolina with 20 or more years of post-regulation record using data through water year 2019. The water year is the annual period from October 1 through September 30 and is designated by the year in which the period ends. Of the 72 regulated streamgages, 18 had pre-regulated periods of record that also were analyzed as part of this study. Flow adjustments were applied to historic peaks and large floods from the pre-regulated period, if available, for use in the post-regulation frequency analysis. Estimates of large floods provide valuable information in frequency analysis and, thus, were included in the post-regulation frequency analysis.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235006","collaboration":"Prepared in cooperation with the Georgia Department of Transportation (Engineering Division, Office of Bridge Design and Maintenance), South Carolina Department of Transportation (Hydraulic Design Support Office), North Carolina Department of Transportation (Division of Highways, Hydraulics Unit), and the North Carolina Department of Crime Control and Public Safety (Division of Emergency Management, Floodplain Mapping Program)","usgsCitation":"Feaster, T.D., Gotvald, A.J., Musser, J.W., Weaver, J.C., Kolb, K.R., Veilleux, A.G., and Wagner, D.M., 2023, Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Results: U.S. Geological Survey Scientific Investigations Report 2023–5006, 75 p., https://doi.org/10.3133/sir20235006.","productDescription":"Report: ix, 75 p.; 2 Data Releases","numberOfPages":"75","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-115205","costCenters":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":414229,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TSBPFS","text":"USGS data release","linkHelpText":"Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Data"},{"id":414230,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AQ2AX1","text":"USGS data release","linkHelpText":"Model archive for magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/sawsc\" data-mce-href=\"https://www.usgs.gov/centers/sawsc\">South Atlantic Water Science Center</a><br>U.S. Geological Survey<br>1770 Corporate Drive, Suite 500<br>Norcross, GA 30093</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Data Compilation</li><li>Estimation of Flood Magnitude and Frequency at Streamgages</li><li>Comparison of Selected Flood-Frequency Estimates with the Previous Estimates</li><li>Streamgages Affected by Regulation</li><li>Estimation of Flood Magnitude and Frequency at Ungaged Sites</li><li>Application of Flood-Frequency Methods</li><li>StreamStats</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1. Regional Skew Regression Analysis for Georgia, South Carolina, and North Carolina</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-04-28","noUsgsAuthors":false,"publicationDate":"2023-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":205647,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby","email":"","middleInitial":"D.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866592,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866593,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Musser, Jonathan W. 0000-0002-3543-0807 jwmusser@usgs.gov","orcid":"https://orcid.org/0000-0002-3543-0807","contributorId":2266,"corporation":false,"usgs":true,"family":"Musser","given":"Jonathan","email":"jwmusser@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":866594,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weaver, J. Curtis 0000-0001-7068-5445 jcweaver@usgs.gov","orcid":"https://orcid.org/0000-0001-7068-5445","contributorId":2229,"corporation":false,"usgs":true,"family":"Weaver","given":"J.","email":"jcweaver@usgs.gov","middleInitial":"Curtis","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":866595,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kolb, Katharine 0000-0002-1663-1662 kkolb@usgs.gov","orcid":"https://orcid.org/0000-0002-1663-1662","contributorId":5537,"corporation":false,"usgs":true,"family":"Kolb","given":"Katharine","email":"kkolb@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":866596,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Veilleux, Andrea G. 0000-0002-8742-4660 aveilleux@usgs.gov","orcid":"https://orcid.org/0000-0002-8742-4660","contributorId":203278,"corporation":false,"usgs":true,"family":"Veilleux","given":"Andrea","email":"aveilleux@usgs.gov","middleInitial":"G.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":870857,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Daniel M. 0000-0002-0432-450X dwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-0432-450X","contributorId":4531,"corporation":false,"usgs":true,"family":"Wagner","given":"Daniel","email":"dwagner@usgs.gov","middleInitial":"M.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":870858,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70242743,"text":"fs20233011 - 2023 - Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Summary","interactions":[],"lastModifiedDate":"2026-02-06T21:55:12.110532","indexId":"fs20233011","displayToPublicDate":"2023-04-28T13:18:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-3011","displayTitle":"Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017—Summary","title":"Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Summary","docAbstract":"<p>Reliable flood-frequency estimates are important for hydraulic structure design and floodplain management in Georgia, South Carolina, and North Carolina. Annual peak streamflows (hereafter, referred to as peak flows) measured at 965 U.S. Geological Survey streamgages were used to compute flood-frequency estimates with annual exceedance probabilities (AEPs) of 50, 20, 10, 4, 2, 1, 0.5, and 0.2 percent. These AEPs correspond to flood-recurrence intervals of 2, 5, 10, 25, 50, 100, 200, and 500 years, respectively. A subset of these streamgages (801) were used to develop equations to predict the AEP flood flows at ungaged stream locations. This study was completed by the USGS in cooperation with the Georgia, South Carolina, and North Carolina Departments of Transportation and the North Carolina Department of Crime Control and Public Safety, and the results are summarized in this fact sheet. The complete results and the supporting data are presented in the companion scientific investigations report and data release.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233011","collaboration":"Prepared in cooperation with the Georgia Department of Transportation (Engineering Division, Office of Bridge Design and Maintenance), South Carolina Department of Transportation (Hydraulic Design Support Office), North Carolina Department of Transportation (Division of Highways, Hydraulics Unit), and the North Carolina Department of Crime Control and Public Safety (Division of Emergency Management, Floodplain Mapping Program)","usgsCitation":"Feaster, T.D., Gotvald, A.J., Musser, J.W., Weaver, J.C., and Kolb, K.R., 2023, Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Summary: U.S. Geological Survey Fact Sheet 2023–3011, 6 p., 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/sawsc\" data-mce-href=\"https://www.usgs.gov/centers/sawsc\">South Atlantic Water Science Center</a><br>U.S. Geological Survey<br>1770 Corporate Drive, Suite 500<br>Norcross, GA 30093</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Overview</li><li>Trends in Annual Peak Streamflows</li><li>Flood-Frequency Estimates at Streamgage Locations</li><li>Update of Regional Skew</li><li>Regionalization: Estimating Peak Streamflows at Ungaged Locations</li><li>Possible Future Studies</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-04-28","noUsgsAuthors":false,"publicationDate":"2023-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Feaster, Toby D. 0000-0002-5626-5011","orcid":"https://orcid.org/0000-0002-5626-5011","contributorId":205647,"corporation":false,"usgs":true,"family":"Feaster","given":"Toby","email":"","middleInitial":"D.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":869634,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gotvald, Anthony J. 0000-0002-9019-750X agotvald@usgs.gov","orcid":"https://orcid.org/0000-0002-9019-750X","contributorId":1970,"corporation":false,"usgs":true,"family":"Gotvald","given":"Anthony","email":"agotvald@usgs.gov","middleInitial":"J.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":869635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Musser, Jonathan W. 0000-0002-3543-0807 jwmusser@usgs.gov","orcid":"https://orcid.org/0000-0002-3543-0807","contributorId":2266,"corporation":false,"usgs":true,"family":"Musser","given":"Jonathan","email":"jwmusser@usgs.gov","middleInitial":"W.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":869636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Weaver, J. Curtis 0000-0001-7068-5445 jcweaver@usgs.gov","orcid":"https://orcid.org/0000-0001-7068-5445","contributorId":2229,"corporation":false,"usgs":true,"family":"Weaver","given":"J.","email":"jcweaver@usgs.gov","middleInitial":"Curtis","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":869637,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kolb, Katharine 0000-0002-1663-1662 kkolb@usgs.gov","orcid":"https://orcid.org/0000-0002-1663-1662","contributorId":5537,"corporation":false,"usgs":true,"family":"Kolb","given":"Katharine","email":"kkolb@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":false,"id":869638,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70242681,"text":"cir1504 - 2023 - U.S. Geological Survey invasive carp strategic framework, 2023–27","interactions":[],"lastModifiedDate":"2023-04-28T16:51:27.241622","indexId":"cir1504","displayToPublicDate":"2023-04-28T12:38:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1504","displayTitle":"U.S. Geological Survey Invasive Carp Strategic Framework, 2023–27","title":"U.S. Geological Survey invasive carp strategic framework, 2023–27","docAbstract":"<p>U.S. Geological Survey (USGS) research has supported management of <i>Hypophthalmichthys nobilis</i> (bighead carp), <i>Mylopharyngodon piceus</i> (black carp), <i>Ctenopharyngodon idella</i> (grass carp), and <i>H. molitrix</i> (silver carp), hereafter referred to collectively as invasive carps, for over a decade. This strategic framework identifies thematic research areas to guide funding decisions for USGS invasive carp research during 2023–27. The USGS will use this framework and input from research and management agencies to identify leading-edge research to advance control of these highly damaging invasive species.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1504","isbn":"978-141134506-5","programNote":"Biological Threats and Invasive Species Research Program","usgsCitation":"Chapman, D., Amberg, J., Calfee, R., Hlavacek, E., Hortness, J., Jackson, P.R., Kazyak, D.C., Knights, B., and Roberts, J., 2023, U.S. Geological Survey invasive carp strategic framework, 2023–27: U.S. Geological Survey Circular 1504, 30 p., https://doi.org/10.3133/cir1504.","productDescription":"v, 30 p.","numberOfPages":"30","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-139995","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":415685,"rank":5,"type":{"id":22,"text":"Related 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  28.69612\n              ],\n              [\n                -100.9576,\n                29.38071\n              ],\n              [\n                -101.6624,\n                29.7793\n              ],\n              [\n                -102.48,\n                29.76\n              ],\n              [\n                -103.11,\n                28.97\n              ],\n              [\n                -103.94,\n                29.27\n              ],\n              [\n                -104.45697,\n                29.57196\n              ],\n              [\n                -104.70575,\n                30.12173\n              ],\n              [\n                -105.03737,\n                30.64402\n              ],\n              [\n                -105.63159,\n                31.08383\n              ],\n              [\n                -106.1429,\n                31.39995\n              ],\n              [\n                -106.50759,\n                31.75452\n              ],\n              [\n                -108.24,\n                31.75485\n              ],\n              [\n                -108.24194,\n                31.34222\n              ],\n              [\n                -109.035,\n                31.34194\n              ],\n              [\n                -111.02361,\n                31.33472\n              ],\n              [\n                -113.30498,\n                32.03914\n              ],\n              [\n                -114.815,\n                32.52528\n              ],\n              [\n                -114.72139,\n                32.72083\n              ],\n              [\n                -115.99135,\n                32.61239\n              ],\n              [\n                -117.12776,\n                32.53534\n              ],\n              [\n                -117.29594,\n                33.04622\n              ],\n              [\n                -117.944,\n                33.62124\n              ],\n              [\n                -118.4106,\n                33.74091\n              ],\n              [\n                -118.51989,\n                34.02778\n              ],\n              [\n                -119.081,\n                34.078\n              ],\n              [\n                -119.43884,\n                34.34848\n              ],\n              [\n                -120.36778,\n                34.44711\n              ],\n              [\n                -120.62286,\n                34.60855\n              ],\n              [\n                -120.74433,\n                35.15686\n              ],\n              [\n                -121.71457,\n                36.16153\n              ],\n              [\n                -122.54747,\n                37.55176\n              ],\n              [\n                -122.51201,\n                37.78339\n              ],\n              [\n                -122.95319,\n                38.11371\n              ],\n              [\n                -123.7272,\n                38.95166\n              ],\n              [\n                -123.86517,\n                39.76699\n              ],\n              [\n                -124.39807,\n                40.3132\n              ],\n              [\n                -124.17886,\n                41.14202\n              ],\n              [\n                -124.2137,\n                41.99964\n              ],\n              [\n                -124.53284,\n                42.76599\n              ],\n              [\n                -124.14214,\n                43.70838\n              ],\n              [\n                -124.02053,\n                44.6159\n              ],\n              [\n                -123.89893,\n                45.52341\n              ],\n              [\n                -124.07963,\n                46.86475\n              ],\n              [\n                -124.39567,\n                47.72017\n              ],\n              [\n                -124.68721,\n                48.18443\n              ],\n              [\n                -124.5661,\n                48.37971\n              ],\n              [\n                -123.12,\n                48.04\n              ],\n              [\n                -122.58736,\n                47.096\n              ],\n              [\n                -122.34,\n                47.36\n              ],\n              [\n                -122.5,\n                48.18\n              ],\n              [\n                -122.84,\n                49\n              ],\n              [\n                -120,\n                49\n              ],\n              [\n                -117.03121,\n                49\n              ],\n              [\n                -116.04818,\n                49\n              ],\n              [\n                -113,\n                49\n              ],\n              [\n                -110.05,\n                49\n              ],\n              [\n                -107.05,\n                49\n              ],\n              [\n                -104.04826,\n                48.99986\n              ],\n              [\n                -100.65,\n                49\n              ],\n              [\n                -97.22872,\n                49.0007\n              ],\n              [\n                -95.15907,\n                49\n              ],\n              [\n                -95.15609,\n                49.38425\n              ],\n              [\n                -94.81758,\n                49.38905\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"United States\"\n      }\n    }\n  ]\n}","contact":"<p>Associate Director, <a href=\"https://www.usgs.gov/mission-areas/ecosystems\" data-mce-href=\"https://www.usgs.gov/mission-areas/ecosystems\">Ecosystems Mission Area</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://www.usgs.gov/mission-areas/ecosystems/biological-threats-and-invasive-species-research-program\" data-mce-href=\"https://www.usgs.gov/mission-areas/ecosystems/biological-threats-and-invasive-species-research-program\">Biological Threats and Invasive Species Research Program</a><br><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Document Purpose and Use</li><li>Roles, Responsibilities, and Commitments of the U.S. Geological Survey for Invasive Carp Science</li><li>Themes of U.S. Geological Survey Invasive Carp Science</li><li>U.S. Geological Survey Invasive Carp Science Strategy</li><li>Evaluating Research Under This Framework and Renewal</li><li>References Cited</li><li>Appendix 1. Key U.S.-Based Organizations, Committees, and Groups Supporting Invasive Carp Research</li><li>Appendix 2. U.S. Geological Survey Information Products on Invasive Carp, 2011–22</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-04-28","noUsgsAuthors":false,"publicationDate":"2023-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Chapman, Duane 0000-0002-1086-8853 dchapman@usgs.gov","orcid":"https://orcid.org/0000-0002-1086-8853","contributorId":1291,"corporation":false,"usgs":true,"family":"Chapman","given":"Duane","email":"dchapman@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":869329,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Amberg, Jon 0000-0002-8351-4861 jamberg@usgs.gov","orcid":"https://orcid.org/0000-0002-8351-4861","contributorId":149785,"corporation":false,"usgs":true,"family":"Amberg","given":"Jon","email":"jamberg@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":869330,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Calfee, Robin D. 0000-0001-6056-7023 rcalfee@usgs.gov","orcid":"https://orcid.org/0000-0001-6056-7023","contributorId":1841,"corporation":false,"usgs":true,"family":"Calfee","given":"Robin","email":"rcalfee@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":869331,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hlavacek, Enrika 0000-0002-9872-2305","orcid":"https://orcid.org/0000-0002-9872-2305","contributorId":297184,"corporation":false,"usgs":false,"family":"Hlavacek","given":"Enrika","affiliations":[{"id":48800,"text":"Former USGS, UMESC employee","active":true,"usgs":false}],"preferred":false,"id":869332,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hortness, Jon 0000-0002-9809-2876 hortness@usgs.gov","orcid":"https://orcid.org/0000-0002-9809-2876","contributorId":3601,"corporation":false,"usgs":true,"family":"Hortness","given":"Jon","email":"hortness@usgs.gov","affiliations":[],"preferred":true,"id":869333,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":869334,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kazyak, David C. 0000-0001-9860-4045","orcid":"https://orcid.org/0000-0001-9860-4045","contributorId":202481,"corporation":false,"usgs":true,"family":"Kazyak","given":"David C.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":869335,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Knights, Brent C. 0000-0001-8526-8468","orcid":"https://orcid.org/0000-0001-8526-8468","contributorId":304124,"corporation":false,"usgs":false,"family":"Knights","given":"Brent","middleInitial":"C.","affiliations":[{"id":65975,"text":"UMESC Retired","active":true,"usgs":false}],"preferred":false,"id":869336,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Roberts, James 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":869337,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70262374,"text":"70262374 - 2023 - Remote characterization of the 12 January 2020 eruption of Taal Volcano, Philippines, using seismo-acoustic, volcanic lightning, and satellite observations","interactions":[],"lastModifiedDate":"2025-01-16T16:53:12.932796","indexId":"70262374","displayToPublicDate":"2023-04-28T10:47:11","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Remote characterization of the 12 January 2020 eruption of Taal Volcano, Philippines, using seismo-acoustic, volcanic lightning, and satellite observations","docAbstract":"<p><span>On 12 January 2020, an eruption began on the shores of the Main Crater Lake (MCL) of Taal Volcano—a caldera system on the southern end of Luzon Island in the Philippines. Taal, one of the most active volcanoes in the Philippines, is located 30&nbsp;km south of Manila—a major metropolitan area with a population of 13.5 million people. Eruptive activity intensified throughout the day on 12 January, producing prolific volcanic lightning, ashfall, and a sustained plume that reached 16–17&nbsp;km altitude. The chronology of events was well documented by the Philippine Institute of Volcanology and Seismology and the Tokyo Volcanic Ash Advisory Center. The wealth of data collected during the eruption provides a unique opportunity to investigate how the combination of different remote sensing methods may complement local observations and monitoring. Remote systems tend to provide lower resolution data but are also less likely to be compromised by the eruptive activity, thus providing continuous records of eruptive processes. Here, we present a postevent analysis of the 12 January activity, including data from long‐range lightning, infrasound, and seismic arrays located at distances up to several thousands of kilometers from the volcano. By combining these datasets, we distinguish five phases of activity and infer a major shift in eruption behavior around 12:00 on 12 January (UTC). The remote observations suggest that the most of the water within the MCL (</span><span class=\"inline-formula no-formula-id\">⁠∼42  million m<sup>3⁠</sup></span><span>) was vaporized and incorporated into the volcanic plume within the first 12&nbsp;hr of the eruption.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120220223","usgsCitation":"Perttu, A., Assink, J.D., Van Eaton, A.R., Caudron, C., Vagasky, C., Krippner, J., McKee, K., De Angelis, S., Perttu, B., Taisne, B., and Lube, G., 2023, Remote characterization of the 12 January 2020 eruption of Taal Volcano, Philippines, using seismo-acoustic, volcanic lightning, and satellite observations: Bulletin of the Seismological Society of America, v. 113, no. 4, p. 1471-1492, https://doi.org/10.1785/0120220223.","productDescription":"22 p.","startPage":"1471","endPage":"1492","ipdsId":"IP-146744","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467113,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/365748","text":"External Repository"},{"id":466642,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Philippines","otherGeospatial":"Taal Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              121.2,\n              13.8755\n            ],\n            [\n              121.2,\n              14.15\n            ],\n            [\n              120.9,\n              14.15\n            ],\n            [\n              120.9,\n              13.8755\n            ],\n            [\n              121.2,\n              13.8755\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"113","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Perttu, Anna 0000-0003-3590-1549","orcid":"https://orcid.org/0000-0003-3590-1549","contributorId":265984,"corporation":false,"usgs":false,"family":"Perttu","given":"Anna","email":"","affiliations":[{"id":48937,"text":"Earth Observatory of Singapore, Nanyang Technological University, Singapore","active":true,"usgs":false}],"preferred":false,"id":923965,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Assink, Jelle D.","contributorId":236650,"corporation":false,"usgs":false,"family":"Assink","given":"Jelle","email":"","middleInitial":"D.","affiliations":[{"id":47493,"text":"R and D Seismology and Acoustics, Royal Netherlands Meteorological Institute (KNMI), Utrechtseweg 297, 3731 GA De Bilt, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":923966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":923967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caudron, Corentin 0000-0002-3748-0007","orcid":"https://orcid.org/0000-0002-3748-0007","contributorId":224799,"corporation":false,"usgs":false,"family":"Caudron","given":"Corentin","email":"","affiliations":[{"id":40942,"text":"Université Grenoble Alpes, Université Savoie, ISTerre, Grenoble, France","active":true,"usgs":false}],"preferred":false,"id":923968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vagasky, Chris","contributorId":311231,"corporation":false,"usgs":false,"family":"Vagasky","given":"Chris","email":"","affiliations":[{"id":67366,"text":"Vaisala Inc., Louisville, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":923969,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krippner, Janine","contributorId":349058,"corporation":false,"usgs":false,"family":"Krippner","given":"Janine","affiliations":[{"id":35780,"text":"University of Waikato, New Zealand","active":true,"usgs":false}],"preferred":false,"id":923970,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKee, Kathleen 0000-0003-3189-9189","orcid":"https://orcid.org/0000-0003-3189-9189","contributorId":265977,"corporation":false,"usgs":false,"family":"McKee","given":"Kathleen","email":"","affiliations":[{"id":54848,"text":"Earth and Planets Laboratory, Carnegie Institution for Science, Washington, DC, USA","active":true,"usgs":false}],"preferred":false,"id":923971,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"De Angelis, Silvio","contributorId":172953,"corporation":false,"usgs":false,"family":"De Angelis","given":"Silvio","affiliations":[{"id":27128,"text":"Univ. of Liverpool","active":true,"usgs":false}],"preferred":false,"id":923972,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Perttu, Brian","contributorId":349059,"corporation":false,"usgs":false,"family":"Perttu","given":"Brian","affiliations":[{"id":83419,"text":"Volcanic Risk Solutions, Massey University, New Zealand","active":true,"usgs":false}],"preferred":false,"id":923973,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taisne, Benoit","contributorId":255664,"corporation":false,"usgs":false,"family":"Taisne","given":"Benoit","email":"","affiliations":[{"id":51637,"text":"EOS","active":true,"usgs":false}],"preferred":false,"id":923974,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lube, Gert","contributorId":349061,"corporation":false,"usgs":false,"family":"Lube","given":"Gert","affiliations":[{"id":83419,"text":"Volcanic Risk Solutions, Massey University, New Zealand","active":true,"usgs":false}],"preferred":false,"id":923975,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70242029,"text":"fs20233008 - 2023 - U.S. Geological Survey science to support wildlife disease management","interactions":[],"lastModifiedDate":"2023-05-02T16:04:37.400399","indexId":"fs20233008","displayToPublicDate":"2023-04-28T10:10:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-3008","displayTitle":"U.S. Geological Survey Science to Support Wildlife Disease Management","title":"U.S. Geological Survey science to support wildlife disease management","docAbstract":"<h1>Introduction&nbsp;</h1><p>The U.S. Geological Survey (USGS) serves a principal role in conducting wildlife disease outbreak investigations, surveillance, and ecological research to support management of diseases in free-ranging native wildlife. Approximately 60 percent of emerging human infectious diseases such as COVID-19, are zoonotic, meaning they are transmitted between animals and humans and 70 percent of these diseases originate in wildlife (Jones and others, 2008). The effects of emerging wildlife diseases are global and profound, often resulting in economic and agricultural impacts, declines in wildlife populations, and ecological disturbances.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233008","programNote":"Ecosystems Mission Area","usgsCitation":"Hopkins, M.C., and Soileau, S.C., 2023, U.S. Geological Survey science to support wildlife disease management: U.S. Geological Survey Fact Sheet 2023–3008, 4 p., https://doi.org/10.3133/fs20233008.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-133721","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":415205,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3008/fs20233008.XML"},{"id":415202,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3008/fs20233008.pdf","text":"Report","size":"3.20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023-3008"},{"id":415201,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3008/coverthb2.jpg"},{"id":415227,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3008/images/"},{"id":415226,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20233008/full"}],"contact":"<p>Associate Director, <a href=\"https://www.usgs.gov/mission-areas/ecosystems\" data-mce-href=\"https://www.usgs.gov/mission-areas/ecosystems\">Ecosystems Mission Area</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Mail Stop 300<br>Reston, VA 20192</p><p><a href=\"https://www.usgs.gov/programs/biological-threats-and-invasive-species-research-program\" data-mce-href=\"https://www.usgs.gov/programs/biological-threats-and-invasive-species-research-program\">Biological Threats and Invasive Species Research Program<br></a><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Wildlife Disease Outbreak Investigations</li><li>Supporting National Response to Disease Outbreaks</li><li>Tracking Specific Wildlife Diseases</li><li>Wildlife Disease Research Capabilities</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-04-28","noUsgsAuthors":false,"publicationDate":"2023-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Hopkins, M. Camille 0000-0003-1465-6038","orcid":"https://orcid.org/0000-0003-1465-6038","contributorId":206863,"corporation":false,"usgs":true,"family":"Hopkins","given":"M.","email":"","middleInitial":"Camille","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":868607,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Soileau, Suzanna C. 0000-0002-4331-0098","orcid":"https://orcid.org/0000-0002-4331-0098","contributorId":222392,"corporation":false,"usgs":true,"family":"Soileau","given":"Suzanna","email":"","middleInitial":"C.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":868608,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70250588,"text":"70250588 - 2023 - Hazus Estimated Annualized Earthquake Losses for the United States: FEMA P-366, 2023","interactions":[],"lastModifiedDate":"2023-12-16T13:11:35.494236","indexId":"70250588","displayToPublicDate":"2023-04-28T07:11:06","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Hazus Estimated Annualized Earthquake Losses for the United States: FEMA P-366, 2023","docAbstract":"The National Earthquake Hazards Reduction Program (NEHRP) Reauthorization Act of 2018 (Pub.L. 115–307) requires that the Federal Emergency Management Agency (FEMA) “shall support the implementation of a comprehensive earthquake education, outreach, and public awareness program, including development of materials and their wide dissemination to all appropriate audiences and support public access to locality-specific information that may assist the public in preparing for, mitigating against, responding to and recovering from earthquakes and related disasters.” As one effort to satisfy the mission, this joint FEMA-U.S. Geological Survey (USGS) report provides nationwide and state-by-state estimates of annualized earthquake losses (AEL) based on the latest census and building stock data, as well as USGS earthquake hazard information.","language":"English","publisher":"FEMA","collaboration":"Federal Emergency Management Agency/NEHRP","usgsCitation":"Jaiswal, K.S., Rozelle, J., Tong, M., Sheehan, A., McNabb, S., Kelly, M., Zuzak, C., Bausch, D., and Sims, J., 2023, Hazus Estimated Annualized Earthquake Losses for the United States: FEMA P-366, 2023, 98 p.","productDescription":"98 p.","ipdsId":"IP-150256","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / 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,{"id":70246330,"text":"70246330 - 2023 - Simulating the migration dynamics of juvenile salmonids through rivers and estuaries using a hydrodynamically driven enhanced particle tracking model","interactions":[],"lastModifiedDate":"2023-07-05T11:58:56.545753","indexId":"70246330","displayToPublicDate":"2023-04-28T06:54:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16139,"text":"Ecological Modeling","active":true,"publicationSubtype":{"id":10}},"title":"Simulating the migration dynamics of juvenile salmonids through rivers and estuaries using a hydrodynamically driven enhanced particle tracking model","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara021\"><span>Juvenile salmonids migrate hundreds of kilometers from their natal streams to mature in the ocean. Throughout this migration, they respond to environmental cues such as local water velocities and other stimuli to direct and modulate their movements, often through heavily modified riverine and estuarine habitats. Management strategies in an uncertain future of climate change and altered&nbsp;land use regimes&nbsp;depend heavily on being able to reliably predict their ocean entry timings, route use, and survival rates through rivers and&nbsp;</span>estuaries. We developed a spatially-explicit agent-based model of fish movement in response to hydrodynamic flows that uses movement dynamics gleaned from multi-dimensional tracking datasets of acoustically tagged juveniles moving through an urbanized, branched tidal estuary. We demonstrate how such models can be calibrated, and we apply it to the Sacramento-San Joaquin Delta in Central California. The quality of the out-of-sample validation of the model to predict juvenile salmon survival and route selection indicates that the model is versatile and flexible enough to be used in novel hydroclimatological conditions.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2023.110393","usgsCitation":"Sridharan, V.K., Jackson, D., Hein, A.M., Perry, R., Pope, A., Hendrix, N., Danner, E.M., and Lindley, S.T., 2023, Simulating the migration dynamics of juvenile salmonids through rivers and estuaries using a hydrodynamically driven enhanced particle tracking model: Ecological Modeling, v. 482, 110393, 27 p., https://doi.org/10.1016/j.ecolmodel.2023.110393.","productDescription":"110393, 27 p.","ipdsId":"IP-144118","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":443685,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://escholarship.org/uc/item/3298p440","text":"Publisher Index Page"},{"id":418684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Francisco Bay-Delta system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.41195439667275,\n              38.415598404027605\n            ],\n            [\n              -122.41195439667275,\n              37.69791363010357\n            ],\n            [\n              -121.25888467133896,\n              37.69791363010357\n            ],\n            [\n              -121.25888467133896,\n              38.415598404027605\n            ],\n            [\n              -122.41195439667275,\n              38.415598404027605\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"482","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sridharan, Vamsi Krishna","contributorId":315555,"corporation":false,"usgs":false,"family":"Sridharan","given":"Vamsi","email":"","middleInitial":"Krishna","affiliations":[{"id":68351,"text":"Fisheries Collaborative Program, University of California, Santa Cruz; Affiliated with: Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration. 110 McAllister Way, Santa Cruz, CA 95060","active":true,"usgs":false}],"preferred":false,"id":876850,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, Doug","contributorId":315556,"corporation":false,"usgs":false,"family":"Jackson","given":"Doug","email":"","affiliations":[{"id":68352,"text":"QEDA Consulting, LLC., 4007 Densmore Avenue N., Seattle, WA, 98103","active":true,"usgs":false}],"preferred":false,"id":876851,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hein, Andrew M.","contributorId":315557,"corporation":false,"usgs":false,"family":"Hein","given":"Andrew","email":"","middleInitial":"M.","affiliations":[{"id":68353,"text":"Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 110 McAllister Way, Santa Cruz, CA, 95060","active":true,"usgs":false}],"preferred":false,"id":876852,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perry, Russell W. 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220177,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":876853,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pope, Adam C. 0000-0002-7253-2247","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":223237,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":876854,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hendrix, Noble","contributorId":289658,"corporation":false,"usgs":false,"family":"Hendrix","given":"Noble","email":"","affiliations":[{"id":62214,"text":"QEDA Consulting, 4007 Densmore Ave N, Seattle, WA 98103, USA","active":true,"usgs":false}],"preferred":false,"id":876855,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Danner, Eric M.","contributorId":315558,"corporation":false,"usgs":false,"family":"Danner","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":68353,"text":"Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, 110 McAllister Way, Santa Cruz, CA, 95060","active":true,"usgs":false}],"preferred":false,"id":876856,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lindley, Steven T.","contributorId":302835,"corporation":false,"usgs":false,"family":"Lindley","given":"Steven","email":"","middleInitial":"T.","affiliations":[{"id":12641,"text":"NOAA NMFS","active":true,"usgs":false}],"preferred":false,"id":876857,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70243957,"text":"70243957 - 2023 - Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States","interactions":[],"lastModifiedDate":"2023-05-26T11:56:26.603617","indexId":"70243957","displayToPublicDate":"2023-04-28T06:53:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1928,"text":"Hydrology and Earth System Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States","docAbstract":"<div id=\"abstract\" class=\"abstract sec\"><div class=\"abstract-content show-no-js\"><p id=\"d1e169\">Because use of high-resolution hydrologic models is becoming more widespread and estimates are made over large domains, there is a pressing need for systematic evaluation of their performance. Most evaluation efforts to date have focused on smaller basins that have been relatively undisturbed by human activity, but there is also a need to benchmark model performance more comprehensively, including basins impacted by human activities. This study benchmarks the long-term performance of two process-oriented, high-resolution, continental-scale hydrologic models that have been developed to assess water availability and risks in the United States (US): the National Water Model v2.1 application of WRF-Hydro (NWMv2.1) and the National Hydrologic Model v1.0 application of the Precipitation–Runoff Modeling System (NHMv1.0). The evaluation is performed on 5390 streamflow gages from 1983 to 2016 (<span class=\"inline-formula\">∼</span> 33&nbsp;years) at a daily time step, including both natural and human-impacted catchments, representing one of the most comprehensive evaluations over the contiguous US. Using the Kling–Gupta efficiency as the main evaluation metric, the models are compared against a climatological benchmark that accounts for seasonality. Overall, the model applications show similar performance, with better performance in minimally disturbed basins than in those impacted by human activities. Relative regional differences are also similar: the best performance is found in the Northeast, followed by the Southeast, and generally worse performance is found in the Central and West areas. For both models, about 80 % of the sites exceed the seasonal climatological benchmark. Basins that do not exceed the climatological benchmark are further scrutinized to provide model diagnostics for each application. Using the underperforming subset, both models tend to overestimate streamflow volumes in the West, which could be attributed to not accounting for human activities, such as active management. Both models underestimate flow variability, especially the highest flows; this was more pronounced for NHMv1.0. Low flows tended to be overestimated by NWMv2.1, whereas there were both over and underestimations for NHMv1.0, but they were less severe. Although this study focused on model diagnostics for underperforming sites based on the seasonal climatological benchmark, metrics for all sites for both model applications are openly available online.</p></div></div>","language":"English","publisher":"Copernicus","doi":"10.5194/hess-27-1809-2023","usgsCitation":"Towler, E., Foks, S., Dugger, A.L., Dickinson, J.E., Essaid, H.I., Gochis, D., Viger, R.J., and Zhang, Y., 2023, Benchmarking high-resolution hydrologic model performance of long-term retrospective streamflow simulations in the contiguous United States: Hydrology and Earth System Sciences, v. 27, no. 9, p. 1809-1825, https://doi.org/10.5194/hess-27-1809-2023.","productDescription":"17 p.","startPage":"1809","endPage":"1825","ipdsId":"IP-141543","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":443687,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/hess-27-1809-2023","text":"Publisher Index Page"},{"id":417479,"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      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n         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\"name\": \"United States\"\n      }\n    }\n  ]\n}","volume":"27","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-05-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Towler, Erin 0000-0002-1784-1346","orcid":"https://orcid.org/0000-0002-1784-1346","contributorId":292891,"corporation":false,"usgs":false,"family":"Towler","given":"Erin","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":873916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foks, Sydney 0000-0002-7668-9735","orcid":"https://orcid.org/0000-0002-7668-9735","contributorId":205290,"corporation":false,"usgs":true,"family":"Foks","given":"Sydney","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central 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0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":873920,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gochis, David","contributorId":152455,"corporation":false,"usgs":false,"family":"Gochis","given":"David","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":873921,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Viger, Roland J. 0000-0003-2520-714X rviger@usgs.gov","orcid":"https://orcid.org/0000-0003-2520-714X","contributorId":168799,"corporation":false,"usgs":true,"family":"Viger","given":"Roland","email":"rviger@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":873922,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Zhang, Yongxin 0000-0001-6321-1276","orcid":"https://orcid.org/0000-0001-6321-1276","contributorId":292894,"corporation":false,"usgs":false,"family":"Zhang","given":"Yongxin","email":"","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":873923,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70243118,"text":"70243118 - 2023 - Accuracy of shoreline forecasting using sparse data","interactions":[],"lastModifiedDate":"2023-05-01T11:54:04.529234","indexId":"70243118","displayToPublicDate":"2023-04-28T06:48:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14263,"text":"Ocean and Coast Management","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy of shoreline forecasting using sparse data","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"abs0010\" class=\"abstract author\" lang=\"en\"><div id=\"abssec0010\"><p id=\"abspara0010\">Sandy beaches are important resources providing recreation, tourism, habitat, and coastal protection. They evolve over various time scales due to local winds, waves, storms, and changes in sea level. A common method used to monitor change in sandy beaches is to measure the movement of the shoreline over time. Typically, the rate of change is estimated by fitting a linear regression through a time series of shoreline positions. To best manage the valuable resources within a coastal environment, accurate forecasts of shoreline position are needed. A simple way to estimate future shoreline position is to extrapolate a linear regression into the future, this method is often used to establish management guidelines like construction setback lines. A more recently developed shoreline forecasting technique utilizes the<span>&nbsp;</span>Kalman filter<span>&nbsp;</span>to assimilate shoreline data and modify the linear regression. This paper calculates the uncertainty and accuracy of both the extrapolated linear regression and Kalman filter forecasting methods for 10- and 20-year hindcasts using data collected at five diverse study areas. These data are inherently sparse (8–10 measurements per location, collected over 150 years) and are representative of the observed historical data available for the continental United States for this timeframe. Both methods produced similar results and had regionally averaged forecast accuracies of 5–16&nbsp;m. We determined that the inaccuracy of the forecasts is largely due to the effects of shorter time scale variability. This variability is roughly proportional to the standard error of the linear regression, which is a useful measure of forecast uncertainty.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocecoaman.2023.106621","usgsCitation":"Farris, A.S., Long, J.W., and Himmelstoss, E.A., 2023, Accuracy of shoreline forecasting using sparse data: Ocean and Coast Management, v. 239, 106621, 11 p., https://doi.org/10.1016/j.ocecoaman.2023.106621.","productDescription":"106621, 11 p.","ipdsId":"IP-149121","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":443688,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocecoaman.2023.106621","text":"Publisher Index Page"},{"id":416543,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Georgia, Massachusetts","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.0181323609342,\n              42.612604369987906\n            ],\n            [\n              -71.0181323609342,\n              42.45075682456917\n            ],\n            [\n              -70.76006466040619,\n              42.45075682456917\n            ],\n            [\n              -70.76006466040619,\n              42.612604369987906\n            ],\n            [\n              -71.0181323609342,\n              42.612604369987906\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -70.78751867110105,\n              42.11358574731062\n 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Center","active":true,"usgs":true}],"preferred":true,"id":871124,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, Joseph W","contributorId":216005,"corporation":false,"usgs":false,"family":"Long","given":"Joseph","email":"","middleInitial":"W","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":871125,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Himmelstoss, Emily A. 0000-0002-1760-5474 ehimmelstoss@usgs.gov","orcid":"https://orcid.org/0000-0002-1760-5474","contributorId":194838,"corporation":false,"usgs":true,"family":"Himmelstoss","given":"Emily","email":"ehimmelstoss@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":871126,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70243181,"text":"70243181 - 2023 - The changing dynamics of highly pathogenic avian influenza H5N1: Next steps for management & science in North America","interactions":[],"lastModifiedDate":"2023-05-03T11:46:44.075926","indexId":"70243181","displayToPublicDate":"2023-04-28T06:45:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"The changing dynamics of highly pathogenic avian influenza H5N1: Next steps for management & science in North America","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0040\"><span>Highly pathogenic avian influenza virus (HPAIV) H5N1 was introduced in North America in late 2021 through trans-Atlantic pathways via migratory birds. These introductions have resulted in an unprecedented&nbsp;epizootic, a widespread disease event in animals, heavily affecting poultry, wild birds, and recently mammals. The North American incursions occurred during the largest epidemic season (2021–2022) in Europe where H5N1 may now be endemic (i.e., continuously present). The continuing outbreak includes expansion into Mexico, Central and South America beginning in late 2022. Here, we provide an overview of the Eurasian origin H5N1 introduction to the Americas, including a significant shift in virus dynamics and severe disease in wild birds. Then, to investigate the global changes in confirmed detections in wild birds and poultry across time and geographic regions, we analyzed FAO's EMPRES-i&nbsp;+&nbsp;database. To examine the 2021 introduction and spread in North American wild birds and poultry, we collated publicly available data across&nbsp;USA&nbsp;and Canadian federal sources. Based on our assessment, the unique magnitude of the North American H5N1 spread indicates the need for effective decision framing to prioritize management needs and scientific inquiry, particularly for species at risk and interface areas for wildlife, poultry, and humans. We illustrate the rapidly occurring and likely increasing detrimental effects that this One Health issue has on wildlife, agriculture, and potentially human health, and we offer a reframing of&nbsp;</span>HPAIV<span>&nbsp;</span>disease response towards a decision analytical context to guide scientific prioritization as a potentially valuable change in focus.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2023.110041","usgsCitation":"Harvey, J., Mullinax, J.M., Runge, M.C., and Prosser, D., 2023, The changing dynamics of highly pathogenic avian influenza H5N1: Next steps for management & science in North America: Biological Conservation, v. 282, 110041, 11 p., https://doi.org/10.1016/j.biocon.2023.110041.","productDescription":"110041, 11 p.","ipdsId":"IP-145359","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":443690,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2023.110041","text":"Publisher Index Page"},{"id":416650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"282","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Johanna","contributorId":304699,"corporation":false,"usgs":false,"family":"Harvey","given":"Johanna","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":871396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":871397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":871398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":871399,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70243337,"text":"70243337 - 2023 - Nitrogen-bedrock interactions regulate multi-element nutrient limitation and sustainability in forests","interactions":[],"lastModifiedDate":"2023-07-11T16:00:18.992243","indexId":"70243337","displayToPublicDate":"2023-04-28T06:40:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1007,"text":"Biogeochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Nitrogen-bedrock interactions regulate multi-element nutrient limitation and sustainability in forests","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Nutrient limitation of tree growth can intensify when nutrients are lost to forest harvest, creating challenges for forest growth and sustainability. Forest harvest accelerates nutrient loss by removing nutrient-containing biomass and by increasing nutrient leaching, shaping patterns of nutrient depletion that cause long-term shifts in nutrient limitation. Nitrogen most frequently limits tree growth, but where nitrogen is abundant, nutrient limitation often shifts to phosphorus and base cations, depending on soil mineralogy. We used the process-based biogeochemical model NutsFor to evaluate how multiple elements can limit long-term forest growth via interactions between soil nitrogen (low vs. high nitrogen) and soil mineralogy (sedimentary vs. basaltic bedrock). Simulations were run for 525 years with 40-year harvest intervals for managed Douglas-fir forests of the Oregon Coast Range. In low nitrogen sites, nutrient limitation switched after several centuries from nitrogen to phosphorus, as cycles of forest growth and harvest depleted soil organic phosphorus pools. In contrast, high nitrogen sites displayed severe base cation depletion and reduced tree growth within only one to two rotations, with sedimentary bedrock sites limited by calcium and basaltic sites by both calcium and potassium. Harvesting stimulated the largest fractional losses of nitrogen and potassium across all simulations, and additionally of calcium in high nitrogen sites. These multi-element simulations of interactions among harvesting, soil nitrogen, and bedrock type provide a set of testable predictions to guide monitoring and changes in management aimed at sustaining long-term forest productivity across a wide range of soil biogeochemical conditions.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10533-023-01039-6","usgsCitation":"Siah, K.G., Perakis, S.S., Pett-Ridge, J.C., and van der Heijden, G., 2023, Nitrogen-bedrock interactions regulate multi-element nutrient limitation and sustainability in forests: Biogeochemistry, v. 164, p. 389-413, https://doi.org/10.1007/s10533-023-01039-6.","productDescription":"25 p.","startPage":"389","endPage":"413","ipdsId":"IP-147344","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":416848,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"164","noUsgsAuthors":false,"publicationDate":"2023-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Siah, Kaveh G.","contributorId":304967,"corporation":false,"usgs":false,"family":"Siah","given":"Kaveh","email":"","middleInitial":"G.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":872086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":872087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pett-Ridge, Julie C.","contributorId":172441,"corporation":false,"usgs":false,"family":"Pett-Ridge","given":"Julie","email":"","middleInitial":"C.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":872088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"van der Heijden, Gregory","contributorId":304968,"corporation":false,"usgs":false,"family":"van der Heijden","given":"Gregory","email":"","affiliations":[{"id":66197,"text":"INRA","active":true,"usgs":false}],"preferred":false,"id":872089,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70248739,"text":"70248739 - 2023 - Substantial upper plate faulting above a shallow subduction megathrust earthquake: Mechanics and implications of the surface faulting during the 2016 Kaikoura, New Zealand, earthquake","interactions":[],"lastModifiedDate":"2023-09-19T11:39:45.04709","indexId":"70248739","displayToPublicDate":"2023-04-28T06:37:51","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Substantial upper plate faulting above a shallow subduction megathrust earthquake: Mechanics and implications of the surface faulting during the 2016 Kaikoura, New Zealand, earthquake","docAbstract":"<div class=\"article-section__content en main\"><p>The 2016 moment magnitude 7.8 Kaikoura, New Zealand, earthquake occurred at the southern end of the Hikurangi subduction zone where the upper plate above the shallow megathrust is exposed sub-aerially. As a result, the substantial co-seismic deformation in the upper plate above the megathrust rupture was observed geologically and geodetically. We explore the relationship between this surface faulting and the subduction megathrust rupture and find that the greatest upper plate fault slip occurred coincident (in time and location) with the megathrust rupture. Models of Coulomb stress change demonstrate that these surface faults become positively loaded as the upper plate rebounds during the megathrust event, favoring fault slip. In addition, during the megathrust rupture these faults terminate against an uncoupled subduction plate interface. We simulate the effects of decoupling at the base of these faults and find that very large fault slip is an expected consequence of this decoupling, allowing near-complete strain release. In contrast, typical strike-slip faults, pinned at their base, would have lower amounts of fault slip. These two conditions—increased Coulomb stress and basal decoupling—combine to produce the extreme co-seismic upper plate faulting observed above the shallow Kaikoura megathrust earthquake. Similar conditions occur in other global subduction zones, but in most subduction zones the region above the coupled megathrust is underwater and poorly observed. Our analysis of the Kaikoura earthquake indicates a need to reevaluate patterns of strain accumulation and release in these regions, rather than assuming simple models of elastic rebound.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022TC007645","usgsCitation":"Herman, M.W., Furlong, K.P., and Benz, H.M., 2023, Substantial upper plate faulting above a shallow subduction megathrust earthquake: Mechanics and implications of the surface faulting during the 2016 Kaikoura, New Zealand, earthquake: Tectonics, v. 42, no. 5, e2022TC007645, 22 p., https://doi.org/10.1029/2022TC007645.","productDescription":"e2022TC007645, 22 p.","ipdsId":"IP-148754","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":443695,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022tc007645","text":"Publisher Index Page"},{"id":420938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              173.55247459472434,\n              -41.36342774281367\n            ],\n            [\n              173.55247459472434,\n              -42.42606214524861\n            ],\n            [\n              174.62867300503626,\n              -42.42606214524861\n            ],\n            [\n              174.62867300503626,\n              -41.36342774281367\n            ],\n            [\n              173.55247459472434,\n              -41.36342774281367\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"42","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-05-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Herman, M. 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P.","contributorId":329825,"corporation":false,"usgs":false,"family":"Furlong","given":"K.","email":"","middleInitial":"P.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":883398,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":883399,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}