{"pageNumber":"126","pageRowStart":"3125","pageSize":"25","recordCount":41032,"records":[{"id":70247717,"text":"70247717 - 2023 - 2023 Coastal master plan: Landscape input data","interactions":[],"lastModifiedDate":"2023-08-15T15:32:51.936815","indexId":"70247717","displayToPublicDate":"2023-07-01T10:19:53","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"chapter":"Attachment B1","title":"2023 Coastal master plan: Landscape input data","docAbstract":"<p>Coastal Louisiana is a complex landscape. The composition of the landscape, as well as the processes which influence said landscape, vary in both space and time. The models used in the 2023 Coastal Master Plan must attempt to reflect that spatial and temporal variability. It is therefore of the utmost importance that the spatial data sets upon which the models are initialized are of the highest quality. </p><p>This task focused on the compilation and creation of spatial data sets pertaining to parameters necessary to initialize models, calibrate their operations, and/or validate their results. Spatial data sets compiled and/or created as part of this effort include 1) an initial Landscape Composition and Configuration spatial data set, 2) an Integrated Topo/Bathymetric Digital Elevation Model 3) a Wetland Vegetation Community Type data set, and 4) Historical Marsh Edge Erosion Rates. </p><p>Each of these data sets constitutes a fundamental descriptor of the coastal landscape, upon which the models depend. This document describes the data sets compiled and the methodologies used to create the best-available spatial data describing the landscape in coastal Louisiana. While data collection dates vary, the data sets created for this effort are intended to represent 2018. The data described herein form initialization data sets upon which most, if not all, models of the 2023 Coastal Master Plan depend in one way or another.</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"2023 Louisiana’s comprehensive master plan for a sustainable coast","largerWorkSubtype":{"id":4,"text":"Other Government Series"},"language":"English","publisher":"Louisiana Coastal Protection and Restoration Authority","usgsCitation":"Couvillion, B., 2023, 2023 Coastal master plan: Landscape input data (Version 5), 43 p.","productDescription":"43 p.","ipdsId":"IP-151483","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":419826,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":419803,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://coastal.la.gov/our-plan/2023-coastal-master-plan/2023-plan-appendices/"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.79077632406495,\n              30.706267411766817\n            ],\n            [\n              -93.79077632406495,\n              28.854615329475607\n            ],\n            [\n              -88.34722956694776,\n              28.27842992330551\n            ],\n            [\n              -89.00478141362511,\n              30.706267411766817\n            ],\n            [\n              -93.79077632406495,\n              30.706267411766817\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Couvillion, Brady 0000-0001-5323-1687","orcid":"https://orcid.org/0000-0001-5323-1687","contributorId":216668,"corporation":false,"usgs":true,"family":"Couvillion","given":"Brady","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":880149,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70249785,"text":"70249785 - 2023 - Vortex trapping of sand grains over ripples under oscillatory flow","interactions":[],"lastModifiedDate":"2023-10-27T14:14:57.662838","indexId":"70249785","displayToPublicDate":"2023-07-01T09:08:52","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Vortex trapping of sand grains over ripples under oscillatory flow","docAbstract":"<p>Sand ripples significantly impact morphodynamics in the nearshore by generating coherent vortices, which can transport suspended sediment to greater heights in the water column than above flat beds. Coherent vortices can trap sediment grains if the settling velocity of the grain is smaller than the maximum vertical fluid velocity in the vortex (Nielsen 1992). Particle image and tracking velocimetry were used to measure small-scale fluid-sediment interactions over sand ripples in a small oscillatory flow tunnel. Here we present some of the first measurements of vortex-trapped sediment grains under oscillatory flows. Results showed that the vortex-trapped sand grain traversed an orbit offcenter of the vortex near the ripple slope. Some grains then spiralled outward and settled to the bed; others were transported by the flow as the vortex was shed from the crest. Vortex trapping can delay settling and increase settling times, potentially causing inaccurate sediment transport predictions by large-scale numerical models, which do not typically account for this non-linear small-scale process. </p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings of MARID VII","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Marine and River Dunes VII","conferenceDate":"April 3-5, 2023","conferenceLocation":"Rennes, France","language":"English","publisher":"Institute of Physics of Rennes and Geosciences Rennes Laboratory (University of Rennes 1) and the French Naval Hydrographic and Oceanographic Office (Shom)","usgsCitation":"Frank-Gilchrist, D.P., Penko, A., Palmsten, M.L., and Calantoni, J., 2023, Vortex trapping of sand grains over ripples under oscillatory flow, <i>in</i> Proceedings of MARID VII, Rennes, France, April 3-5, 2023, p. 117-123.","productDescription":"7 p.","startPage":"117","endPage":"123","ipdsId":"IP-148729","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":422188,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":422187,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://marid7.sciencesconf.org/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Frank-Gilchrist, Donya P. 0000-0002-7146-0069","orcid":"https://orcid.org/0000-0002-7146-0069","contributorId":292926,"corporation":false,"usgs":true,"family":"Frank-Gilchrist","given":"Donya","email":"","middleInitial":"P.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":887024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Penko, Allison","contributorId":331234,"corporation":false,"usgs":false,"family":"Penko","given":"Allison","affiliations":[{"id":62875,"text":"U.S. Naval Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":887025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":887026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Calantoni, Joseph","contributorId":331235,"corporation":false,"usgs":false,"family":"Calantoni","given":"Joseph","email":"","affiliations":[{"id":62875,"text":"U.S. Naval Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":887027,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70248695,"text":"70248695 - 2023 - 2023 PyLith Hackathon report","interactions":[],"lastModifiedDate":"2023-09-19T13:27:25.179777","indexId":"70248695","displayToPublicDate":"2023-07-01T08:26:46","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"2023 PyLith Hackathon report","docAbstract":"The 3rd Pylith Hackathon was held June 12–17, 2023, at the Colorado School of Mines in Golden, Colorado with funding from the Computational Infrastructure for Geodynamics (CIG). The hackathon involved 17 participants working on 5 different projects to implement new features and create new examples for the PyLith crustal deformation modeling software. The projects included (1) spontaneous rupture using fault friction, (2) extending the poroelasticity implementation, (3) developing 2D and 3D examples involving strike-slip faults, (4) integrating PyLith with the cascading adaptive transitional metropolis in parallel (CATMIP) Bayesian inversion framework for use in studies inverting for static fault slip, and (5) adding self-gravitation using the current multiphysics formulation in PyLith. Participants learned how to navigate the PyLith code base, implement point-wise functions for governing equations and bulk and fault rheologies using the finite-element method, extend the code using the modular, object-oriented design, write examples that demonstrate how to use the new features in PyLith simulations, and implement method of manufactured solutions tests and full-scale tests. The PyLith development team benefitted from discussions with the other participants (contributors) about the technical aspects of the various projects as well as general discussions about PyLith design. The in-person format and 6-day duration allowed the groups to make significant progress. Participants appreciated the project-based organization of the hackathon and recommended that future hackathons include online meetings of the various projects before the in-person gathering to self-organize and prepare. Sarah Minson (remote) provided technical advice on the use of the CATMIP Bayesian inversion framework, and this type of participation could be expanded to allow additional technical presentations and advice on various topics in future hackathons.","language":"English","publisher":"Computational Infrastructure for Geodynamics","usgsCitation":"Aagaard, B.T., 2023, 2023 PyLith Hackathon report, 5 p.","productDescription":"5 p.","ipdsId":"IP-156300","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":420948,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":420877,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://geodynamics.org/events/details/287","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Aagaard, Brad T. 0000-0002-8795-9833 baagaard@usgs.gov","orcid":"https://orcid.org/0000-0002-8795-9833","contributorId":192869,"corporation":false,"usgs":true,"family":"Aagaard","given":"Brad","email":"baagaard@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":false,"id":883231,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70254723,"text":"70254723 - 2023 - Winners and losers over a ½ century of change in crayfish assemblages of Wyoming, USA","interactions":[],"lastModifiedDate":"2024-06-10T23:58:26.927419","indexId":"70254723","displayToPublicDate":"2023-06-30T10:14:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Winners and losers over a ½ century of change in crayfish assemblages of Wyoming, USA","docAbstract":"<p><span>Crayfish have experienced extensive assemblage reorganization as a result of global change, with some species becoming globally invasive and others becoming rare or extinct. We combined historical and contemporary sampling data to determine temporal trends of crayfish assemblages of Wyoming, USA, identifying winners and losers over a ½ century of change (1969–2020). We first documented range expansions of several species, including the Virile Crayfish&nbsp;</span><i>Faxonius virilis</i><span>&nbsp;(Hagen, 1870), Ringed Crayfish&nbsp;</span><i>Faxonius neglectus</i><span>&nbsp;(Faxon, 1885), and Rusty Crayfish&nbsp;</span><i>Faxonius rusticus</i><span>&nbsp;(Girard, 1852) as well as range contractions of the Calico Crayfish&nbsp;</span><i>Faxonius immunis</i><span>&nbsp;(Hagen, 1870) and Pilose Crayfish&nbsp;</span><i>Pacifastacus gambelii</i><span>&nbsp;(Girard, 1852). We then used multispecies occupancy models to investigate potential mechanisms behind the replacement of&nbsp;</span><i>F. immunis</i><span>&nbsp;by&nbsp;</span><i>F. virilis</i><span>&nbsp;as the most commonly detected crayfish species in Wyoming over time. We hypothesized that&nbsp;</span><i>F. virilis</i><span>&nbsp;is more likely to competitively displace&nbsp;</span><i>F. immunis</i><span>&nbsp;from more permanent waterbodies, whereas&nbsp;</span><i>F. immunis</i><span>&nbsp;is more likely to persist in more ephemeral habitats because of its superior burrowing ability and tolerance of low dissolved oxygen concentrations. Our occupancy models supported this prediction, with&nbsp;</span><i>F. immunis</i><span>&nbsp;occupancy declining at more permanent sites in the presence of&nbsp;</span><i>F. virilis</i><span>, but&nbsp;</span><i>F. immunis</i><span>&nbsp;occupancy was unaffected by&nbsp;</span><i>F. virilis</i><span>&nbsp;in less permanent sites. We also found positive associations of&nbsp;</span><i>F. virilis</i><span>&nbsp;occupancy and detection probability with water temperature, suggesting that warmer streams may be more vulnerable to new invasions or spread by this species in nonnative regions of western North America. Our results highlight the value of regular, statewide crayfish surveys through documenting substantial changes in Wyoming’s crayfish assemblage structure that may be driven by habitat-mediated competitive interactions.</span></p>","language":"English","publisher":"University of Chicago Press","doi":"10.1086/725318","usgsCitation":"Newkirk, B., Larson, E.R., Walker, A.D., and Walters, A.W., 2023, Winners and losers over a ½ century of change in crayfish assemblages of Wyoming, USA: Freshwater Science, v. 42, no. 2, p. 146-160, https://doi.org/10.1086/725318.","productDescription":"15 p.","startPage":"146","endPage":"160","ipdsId":"IP-139290","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":429757,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Wyoming","active":true,"usgs":false}],"preferred":false,"id":902355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902356,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70248105,"text":"70248105 - 2023 - Modeling habitat suitability across different levels of invasive plant abundance","interactions":[],"lastModifiedDate":"2023-10-11T15:53:15.201181","indexId":"70248105","displayToPublicDate":"2023-06-30T09:55:03","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Modeling habitat suitability across different levels of invasive plant abundance","docAbstract":"<p><span>Predicting where invasive plants are likely to spread and become abundant is critical for informing invasive plant management. Species distribution models are a key tool for informing the geography of invasion risk, but most distribution models are limited by their use of presence data, including no information on invader population abundance. In this study, we ask how habitat suitability varies for different levels of abundance for three invasive plants: stiltgrass (</span><i>Microstegium vimineum</i><span>), sericea lespedeza (</span><i>Lespedeza cuneata</i><span>), and privet (</span><i>Ligustrum sinense</i><span>). For each species, we used an ensemble distribution modeling approach to compare suitability for invasion estimated from subsets of point location data: all presences vs. locations with percent cover ≥ 1%, ≥ 5%, ≥ 10%, ≥ 25%, and ≥ 50%. For all species, the total area predicted as suitable for abundant populations was 32%–68% less than the area predicted as suitable for presence. For stiltgrass and sericea lespedeza, the area suitable for invasion decreased when predicted from higher levels of abundance, whereas for privet, suitable area was similar across abundance levels. Stiltgrass and sericea lespedeza are therefore likely to become highly abundant in a smaller portion of their ranges, while privet could become highly abundant anywhere it can establish at low abundance. Different environmental predictors explained suitability for presence versus abundance, suggesting the environmental niche associated with presence differs from that associated with high population abundance. Analyses of more species and growth forms are still needed, but our results combined with previous studies consistently show that fitting distribution models to point locations with ≥ 5–10% cover refines range maps and can produce a more targeted assessment of invasion risk.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10530-023-03118-z","usgsCitation":"Beaury, E.M., Jarnevich, C.S., Pearse, I., Evans, A.E., Teich, N., Engelstad, P., LaRoe, J., and Bradley, B., 2023, Modeling habitat suitability across different levels of invasive plant abundance: Biological Invasions, v. 25, p. 3471-3483, https://doi.org/10.1007/s10530-023-03118-z.","productDescription":"13 p.","startPage":"3471","endPage":"3483","ipdsId":"IP-137901","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":435269,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P939IXCP","text":"USGS data release","linkHelpText":"Thresholded abundance models for three invasive plant species in the United States"},{"id":420481,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","noUsgsAuthors":false,"publicationDate":"2023-06-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Beaury, Evelyn M.","contributorId":236820,"corporation":false,"usgs":false,"family":"Beaury","given":"Evelyn","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":881874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":881875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":881876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Evans, Annette E. 0000-0001-6439-4908","orcid":"https://orcid.org/0000-0001-6439-4908","contributorId":328976,"corporation":false,"usgs":false,"family":"Evans","given":"Annette","email":"","middleInitial":"E.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":881877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Teich, Nathan","contributorId":328972,"corporation":false,"usgs":false,"family":"Teich","given":"Nathan","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":881878,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Engelstad, Peder","contributorId":238758,"corporation":false,"usgs":false,"family":"Engelstad","given":"Peder","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":881879,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LaRoe, Jillian 0000-0002-1429-9811","orcid":"https://orcid.org/0000-0002-1429-9811","contributorId":299950,"corporation":false,"usgs":false,"family":"LaRoe","given":"Jillian","affiliations":[{"id":64987,"text":"Student contractor to USGS Fort Collins Science Center","active":true,"usgs":false}],"preferred":false,"id":881880,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bradley, Bethany A. 0000-0003-4912-4971","orcid":"https://orcid.org/0000-0003-4912-4971","contributorId":299998,"corporation":false,"usgs":true,"family":"Bradley","given":"Bethany A.","affiliations":[{"id":64995,"text":"University of Massachusetts, Northeast Climate Adaptation Science Center","active":true,"usgs":false}],"preferred":false,"id":881881,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70251410,"text":"70251410 - 2023 - A new deglacial climate and sea-level record from 20 to 8 ka from IODP381 site M0080, Alkyonides Gulf, eastern Mediterranean","interactions":[],"lastModifiedDate":"2024-02-09T13:10:38.395887","indexId":"70251410","displayToPublicDate":"2023-06-30T07:07:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"A new deglacial climate and sea-level record from 20 to 8 ka from IODP381 site M0080, Alkyonides Gulf, eastern Mediterranean","docAbstract":"<p id=\"abspara0010\"><span>Records of relative sea-level rise for the&nbsp;last deglaciation&nbsp;are mostly limited to coral reef records and geophysical model estimates, but observational data from regions with&nbsp;temperate climates&nbsp;is sparse. We present a new relative climatic and regional sea-level rise record for glacial Termination 1 (Marine Isotope Stages [MIS] 2–1) based on&nbsp;ostracode&nbsp;paleoecology&nbsp;from the upper 8&nbsp;m of the International Ocean Discovery Program (IODP) Site M0080 collected on Expedition 381, in the Gulf of Alkyonides, eastern Corinth basin of the Mediterranean Sea. Results show a series of major faunal transitions from lacustrine (Ponto-Caspian, Lake Corinth) glacial-age assemblages to fully marine (Mediterranean) interglacial assemblages between 20 and 8 ka. During glacial and early deglacial intervals, the Gulf of Alkyonides was characterized by non-marine lacustrine conditions with episodic sediment input from coastal, saline&nbsp;lake environments. Relatively stable lake shoreline conditions marked by the distinctive&nbsp;</span><i>Tuberoloxoconcha</i><span>&nbsp;</span>sp. Existed from ∼17.5 to 15 ka. During the peak deglacial interval, the BØlling-AllerØd (B-A, ∼15–13.5 ka), rapid sea-level rise is indicated by a fully marine ostracode fauna colonization, which persisted from 13.5 to 7.5 ka (Late Pleistocene-Early to Middle Holocene).</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2023.108192","usgsCitation":"Mazzini, I., Cronin, T.M., Gawthorpe, R., Collier, R.S., De Gelder, G., Golub, A., Toomey, M., Poirier, R., Huang, H.M., Turkey, M., McNeill, L., and Shillington, D.J., 2023, A new deglacial climate and sea-level record from 20 to 8 ka from IODP381 site M0080, Alkyonides Gulf, eastern Mediterranean: Quaternary Science Reviews, v. 313, 108192, 8 p., https://doi.org/10.1016/j.quascirev.2023.108192.","productDescription":"108192, 8 p.","ipdsId":"IP-154358","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":442896,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.quascirev.2023.108192","text":"Publisher Index Page"},{"id":425536,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Gulf of Alkyonides","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              20.24043338109064,\n              39.12488557565888\n            ],\n            [\n              20.24043338109064,\n              37.27748697408386\n            ],\n            [\n              23.71211306859152,\n              37.27748697408386\n            ],\n            [\n              23.71211306859152,\n              39.12488557565888\n            ],\n            [\n              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Center","active":true,"usgs":true}],"preferred":true,"id":894465,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gawthorpe, Robert","contributorId":333985,"corporation":false,"usgs":false,"family":"Gawthorpe","given":"Robert","email":"","affiliations":[{"id":28158,"text":"University of Bergen","active":true,"usgs":false}],"preferred":false,"id":894466,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collier, Richard S.","contributorId":193830,"corporation":false,"usgs":false,"family":"Collier","given":"Richard","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":894467,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"De Gelder, Gino","contributorId":333986,"corporation":false,"usgs":false,"family":"De Gelder","given":"Gino","email":"","affiliations":[{"id":80035,"text":"Université Paris Diderot","active":true,"usgs":false}],"preferred":false,"id":894468,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Golub, Anna","contributorId":268313,"corporation":false,"usgs":false,"family":"Golub","given":"Anna","email":"","affiliations":[],"preferred":false,"id":894469,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Toomey, Michael 0000-0003-0167-9273 mtoomey@usgs.gov","orcid":"https://orcid.org/0000-0003-0167-9273","contributorId":184097,"corporation":false,"usgs":true,"family":"Toomey","given":"Michael","email":"mtoomey@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":894470,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poirier, Robert 0000-0001-5380-4545","orcid":"https://orcid.org/0000-0001-5380-4545","contributorId":261201,"corporation":false,"usgs":true,"family":"Poirier","given":"Robert","email":"","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":894471,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huang, Huai-Hsuan May","contributorId":333987,"corporation":false,"usgs":false,"family":"Huang","given":"Huai-Hsuan","email":"","middleInitial":"May","affiliations":[{"id":80037,"text":"Princeton Univ","active":true,"usgs":false}],"preferred":false,"id":894472,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Turkey, Marcie","contributorId":333988,"corporation":false,"usgs":false,"family":"Turkey","given":"Marcie","email":"","affiliations":[{"id":34217,"text":"UT Austin","active":true,"usgs":false}],"preferred":false,"id":894473,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McNeill, Lisa","contributorId":333989,"corporation":false,"usgs":false,"family":"McNeill","given":"Lisa","email":"","affiliations":[{"id":80038,"text":"Univ Southampton","active":true,"usgs":false}],"preferred":false,"id":894474,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shillington, Donna J.","contributorId":210202,"corporation":false,"usgs":false,"family":"Shillington","given":"Donna","email":"","middleInitial":"J.","affiliations":[{"id":38091,"text":"Lamont Doherty Earth Observatory, Columbia University","active":true,"usgs":false}],"preferred":false,"id":894475,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70246319,"text":"70246319 - 2023 - Using state-and-transition simulation models to scope post-fire success in restoring greater sage-grouse habitat","interactions":[],"lastModifiedDate":"2023-07-05T11:23:52.480787","indexId":"70246319","displayToPublicDate":"2023-06-30T06:40:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Using state-and-transition simulation models to scope post-fire success in restoring greater sage-grouse habitat","docAbstract":"<p>Wildfires are increasingly modifying wildlife habitat in the western United States and managers need ways to scope the pace and degree to which post-fire restoration actions can re-create habitat in dynamic landscapes. We developed a spatially explicit state-transition simulation model (STSM) to project post-fire revegetation and the potential for sage-grouse habitat restoration in sagebrush ecosystems. The model included annual fires, annual grass invasion, conifer encroachment, and projected annual vegetation growth caused by natural regeneration as well as sagebrush seeding and planting. We cross-referenced resulting vegetation maps with greater sage-grouse (<i>Centrocercus urophasianus</i>) habitat needs and evaluated trajectories of potential habitat at three Priority Areas for Conservation in the Great Basin. We compared outcomes among different types of revegetation actions (natural regeneration, seeding, planting), treatment durations, and treatment area sizes. In all scenarios, sagebrush cover was generally insufficient to meet sage-grouse needs for at least a decade post-fire, and the best habitat classes declined or remained at low proportions of landscapes for &gt;50 years post-fire. Under current fire patterns, the pace of habitat restoration is likely to lag behind losses from wildfires. Our results indicate additional efforts beyond sagebrush revegetation actions (e.g., fire suppression, invasive grass treatment) will likely be necessary to maintain and restore areas to meet sage-grouse habitat needs in burned landscapes. Our results also underscore the need for broad-scale habitat restoration strategies that expand the ability to reestablish sagebrush in large, burned areas, as well as strategies for defining which areas should be prioritized for revegetation within the biome. Our landscape models and resulting vegetation maps can be integrated with other restoration prioritization or wildlife monitoring tools that support land manager decision-making. By gauging potential benefits of restoration decisions, our approach can provide information to aid choices on where to invest time, money, and effort and how best to mitigate losses and plan long-term restoration and recovery for landscapes across the sagebrush biome.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2023.110396","usgsCitation":"Orning, E.K., Heinrichs, J., Pyke, D.A., Coates, P.S., and Aldridge, C.L., 2023, Using state-and-transition simulation models to scope post-fire success in restoring greater sage-grouse habitat: Ecological Modelling, v. 483, 110396, 19 p., https://doi.org/10.1016/j.ecolmodel.2023.110396.","productDescription":"110396, 19 p.","ipdsId":"IP-150259","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":442902,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2023.110396","text":"Publisher Index Page"},{"id":435271,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PYHZF7","text":"USGS data release","linkHelpText":"State-and-Transition Simulation Models to explore post-fire habitat restoration in three greater sage-grouse (Centrocercus urophasianus) Priority Areas for Conservation, USA (2018-2068)"},{"id":418676,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.1530893537961,\n              46.72935427298586\n            ],\n            [\n              -121.1530893537961,\n              34.336583229480425\n            ],\n            [\n              -107.711590841332,\n              34.336583229480425\n            ],\n            [\n              -107.711590841332,\n              46.72935427298586\n            ],\n            [\n              -121.1530893537961,\n              46.72935427298586\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"483","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Orning, Elizabeth Kari 0000-0002-1376-729X","orcid":"https://orcid.org/0000-0002-1376-729X","contributorId":315548,"corporation":false,"usgs":true,"family":"Orning","given":"Elizabeth","email":"","middleInitial":"Kari","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":876800,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":240888,"corporation":false,"usgs":false,"family":"Heinrichs","given":"Julie A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":876801,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":876802,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":876803,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":876804,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70247013,"text":"70247013 - 2023 - Constraints on near-ridge magmatism using 40Ar/39Ar geochronology of enriched MORB from the 8°20' N seamount chain","interactions":[],"lastModifiedDate":"2023-08-08T14:42:32.909724","indexId":"70247013","displayToPublicDate":"2023-06-29T16:09:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Constraints on near-ridge magmatism using <sup>40</sup>Ar/<sup>39</sup>Ar geochronology of enriched MORB from the 8°20' N seamount chain","title":"Constraints on near-ridge magmatism using 40Ar/39Ar geochronology of enriched MORB from the 8°20' N seamount chain","docAbstract":"<p><span>Our understanding of the spatial-temporal-compositional relationships between off-axis&nbsp;magmatism&nbsp;and mid-ocean ridge spreading centers is limited. Determining the&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages of mid-ocean ridge basalt (MORB) lavas erupting near mid-ocean ridges (MOR) has been a challenge due to the characteristically low K</span><sub>2</sub><span>O contents in incompatible element-depleted normal MORB (NMORB). High-precision&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar&nbsp;geochronology&nbsp;is used here to determine ages of young, basaltic lavas erupted along the 8°20' N&nbsp;seamount&nbsp;chain west of the East Pacific Rise (EPR) axis that have a range of incompatible element enrichments (EMORB) suitable for&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar geochronology (e.g., K</span><sub>2</sub><span>O contents &gt; 0.3 wt%).&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages were determined in 29 well-characterized&nbsp;basalts&nbsp;sampled using HOV&nbsp;</span><i>Alvin</i><span>&nbsp;and&nbsp;dredging. Detailed geochronology and geochemical analyses provide important constraints on the timing, distribution, and origins of lavas that constructed this extensive volcanic lineament relative to magmatism beneath the adjacent EPR axis. Seamount eruption ages are up to ∼1.6 Ma younger than the underlying lithosphere, supporting a model of prolonged off-axis magmatism for at least 2 Myrs at distances as great as ∼90 km from the ridge axis. Increasing geochemical heterogeneity with eruption distance reflects the diminishing effect of sub-ridge melt focusing. The range of geochemically distinct lavas erupted at given distances from the ridge highlights the dynamic nature of the near-ridge magmatic environment over Myr timescales. Linear ridge-like (EPR-parallel) morphotectonic features erupt the youngest and most incompatible element-enriched lavas of the entire seamount chain, indicating there is a recent change in the influence of mantle heterogeneity and off-axis melt&nbsp;metasomatism&nbsp;on the near-ridge lithospheric mantle. Changes in seamount morphologies are attributed to counter-clockwise rotation and southward migration of the nearby Siqueiros transform over the last few million years.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2023.118278","usgsCitation":"Anderson, M., Perfit, M., Morgan, L.E., Fornari, D., Cosca, M.A., and Wanless, V.D., 2023, Constraints on near-ridge magmatism using 40Ar/39Ar geochronology of enriched MORB from the 8°20' N seamount chain: Earth and Planetary Science Letters, v. 618, 118278, 12 p.; Data Release, https://doi.org/10.1016/j.epsl.2023.118278.","productDescription":"118278, 12 p.; Data Release","ipdsId":"IP-147683","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":442904,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2023.118278","text":"Publisher Index Page"},{"id":435272,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ECGKYO","text":"USGS data release","linkHelpText":"Argon data for enriched MORB from the 8&amp;deg;20' N seamount chain"},{"id":419230,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":419594,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/623c7021d34e915b67d2ddc8","text":"Argon data for enriched MORB from the 8°20' N seamount chain","linkFileType":{"id":5,"text":"html"}}],"otherGeospatial":"East Pacific Rise, Pacific Ocean","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106,\n              9\n            ],\n            [\n              -106,\n              7.75\n            ],\n            [\n              -104,\n              7.75\n            ],\n            [\n              -104,\n              9\n            ],\n            [\n              -106,\n              9\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"618","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Molly","contributorId":316857,"corporation":false,"usgs":false,"family":"Anderson","given":"Molly","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":878547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perfit, Michael","contributorId":13736,"corporation":false,"usgs":false,"family":"Perfit","given":"Michael","affiliations":[],"preferred":false,"id":878548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morgan, Leah E. 0000-0001-9930-524X lemorgan@usgs.gov","orcid":"https://orcid.org/0000-0001-9930-524X","contributorId":176174,"corporation":false,"usgs":true,"family":"Morgan","given":"Leah","email":"lemorgan@usgs.gov","middleInitial":"E.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":878549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fornari, Daniel","contributorId":316858,"corporation":false,"usgs":false,"family":"Fornari","given":"Daniel","affiliations":[{"id":68715,"text":"Woods Hole, Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":878550,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cosca, Michael A. 0000-0002-0600-7663 mcosca@usgs.gov","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":1000,"corporation":false,"usgs":true,"family":"Cosca","given":"Michael","email":"mcosca@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":878551,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wanless, V. Dorsey","contributorId":175158,"corporation":false,"usgs":false,"family":"Wanless","given":"V.","email":"","middleInitial":"Dorsey","affiliations":[],"preferred":false,"id":878552,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70247430,"text":"70247430 - 2023 - Assessing impacts of human stressors on stream fish habitats across the Mississippi River basin","interactions":[],"lastModifiedDate":"2023-08-07T14:21:47.310109","indexId":"70247430","displayToPublicDate":"2023-06-29T09:16:58","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Assessing impacts of human stressors on stream fish habitats across the Mississippi River basin","docAbstract":"<p><span>Effective conservation of stream fishes and their habitats is complicated by the fact that human stressors alter the way in which natural factors such as stream size, catchment geology, and regional climate influence stream ecosystems. Consequently, efforts to assess the condition of stream fishes and their habitats must not only attempt to characterize the effects of human stressors but must account for the effects of natural influences as well. This study is an assessment of all stream fish habitats in the Mississippi River basin, USA. The basin supports over 400 stream fish species, drains a land area of 3.2 M km</span><sup>2</sup><span>, and includes a myriad of human stressors such as intensive agriculture, urbanization, nutrient loading, and habitat fragmentation by dams and road/stream crossings. To effectively characterize types and levels of human stressors specifically impacting the basin’s stream fish species, our assessment approach first accounted for the influence of natural landscape conditions on species abundances with multiple steps, including stratifying our analyses by region and stream size and quantitatively modeling the influences of natural factors on stream fishes. We next quantified individual fish species responses to explicit human stressors for different measures of land use, fragmentation, and water quality, including summaries of measures in local vs. catchment extents. Results showed that many species had negative threshold responses to human stressors and that impacts varied by species, by region, and by the spatial extents in which stressors were summarized. Our spatially explicit results indicated the degree of stream reach impairment for specific stressor categories, for individual species, and for entire assemblages, all of which are types of information that can aid decision makers in achieving specific conservation goals in the region.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/w15132400","usgsCitation":"Ross, J., Infante, D.M., Cooper, A.R., Whittier, J.B., and Daniel, W., 2023, Assessing impacts of human stressors on stream fish habitats across the Mississippi River basin: Water, v. 15, no. 13, 2400, 19 p., https://doi.org/10.3390/w15132400.","productDescription":"2400, 19 p.","ipdsId":"IP-154339","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":442912,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w15132400","text":"Publisher Index Page"},{"id":419562,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mississippi River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.70500995271088,\n              29.01665894418747\n            ],\n            [\n              -87.84690317711288,\n              33.54915630164602\n            ],\n            [\n              -81.00873115774787,\n              37.45591553762907\n            ],\n            [\n              -78.93790401814765,\n              41.96679217920834\n            ],\n            [\n              -83.62542898487561,\n              41.81918715620617\n            ],\n            [\n              -87.73555865475336,\n              41.70064246159154\n            ],\n            [\n              -88.67261557203858,\n              44.96630422012075\n            ],\n            [\n              -93.08599492063011,\n              47.38065175487887\n            ],\n            [\n              -98.48423664388794,\n              48.43354009429689\n            ],\n            [\n              -112.80019584593275,\n              48.34084011217669\n            ],\n            [\n              -109.13885539240077,\n              44.853455766288505\n            ],\n            [\n              -105.17484654049274,\n              41.33941938263584\n            ],\n            [\n              -103.17753122235543,\n              38.76054766960715\n            ],\n            [\n              -101.04477212147036,\n              36.16726262455268\n            ],\n            [\n              -98.00084294825474,\n              32.268870505741845\n            ],\n            [\n              -92.62187823928058,\n              29.79492566370429\n            ],\n            [\n              -88.70500995271088,\n              29.01665894418747\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"13","noUsgsAuthors":false,"publicationDate":"2023-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Ross, Jared 0000-0002-0582-3589","orcid":"https://orcid.org/0000-0002-0582-3589","contributorId":289993,"corporation":false,"usgs":false,"family":"Ross","given":"Jared","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":879593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Infante, Dana M.","contributorId":146114,"corporation":false,"usgs":false,"family":"Infante","given":"Dana","email":"","middleInitial":"M.","affiliations":[{"id":16583,"text":"Department of Fisheries and Wildlife, 480 Wilson Rd. 13 Natural Resources Building, Michigan State University, East Lansing, MI 48824","active":true,"usgs":false}],"preferred":false,"id":879594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Arthur R.","contributorId":187646,"corporation":false,"usgs":false,"family":"Cooper","given":"Arthur","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":879595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whittier, Joanna B.","contributorId":53151,"corporation":false,"usgs":false,"family":"Whittier","given":"Joanna","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":879596,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Daniel, Wesley 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":219312,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":879597,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70245765,"text":"ofr20231040 - 2023 - Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey Flood Risk Management Project Area in San Diego County, California—Breeding activities and habitat use—2022 annual report","interactions":[],"lastModifiedDate":"2023-06-30T10:52:30.004365","indexId":"ofr20231040","displayToPublicDate":"2023-06-29T09:10:19","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1040","displayTitle":"Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey Flood Risk Management Project Area in San Diego County, California: Breeding Activities and Habitat Use—2022 Annual Report","title":"Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey Flood Risk Management Project Area in San Diego County, California—Breeding activities and habitat use—2022 annual report","docAbstract":"<h1>Executive Summary</h1><p>We completed four protocol surveys for Least Bell’s Vireos (<i>Vireo bellii pusillus</i>; vireo) during the breeding season, supplemented by weekly territory monitoring visits. We identified a total of 133 territorial male vireos; 114 were confirmed as paired, and 3 were confirmed as single males. For the remaining 16 territories, we were unable to confirm breeding status. Two transient vireos were detected in 2022. The vireo population in the Project Area increased by 9 percent from 2021 to 2022. The vireo population at Marine Corps Base Camp Pendleton also increased (4 percent), whereas the population at Marine Corps Air Station remained relatively stable (decreased from 10 pairs to 9) and the Otay River population decreased by 10 percent (2 territories).</p><p>We used an index of treatment (Treatment Index) to evaluate the effect of on-going vegetation clearing on the Project Area vireo population. The Treatment Index measures the cumulative effect of vegetation treatment within a territory (since 2005) by using the percentage area treated weighted by the number of years since treatment. We determined that the Treatment Index for unoccupied habitat was more than four times that of occupied habitat, indicating that vireos selected habitat that was less treated in which to settle.</p><p>We monitored vireo nests at three general site types: (1) within the flood channel where exotic and native vegetation removal has occurred regularly (Channel), (2) three sites near the flood channel where limited exotic and native vegetation removal has occurred (Off-channel), and (3) three sites that have been actively restored by planting native vegetation (Restoration). Nesting activity was monitored in 80 territories, 3 of which were occupied by single males and 1 by a male whose breeding status could not be confirmed. Overall, 38 percent of completed nests were successful and nest success did not differ among the three sites. In 2022, there were no differences with regard to clutch size, hatching, or fledging success among Channel, Off-channel and Restoration sites. Overall breeding success and productivity were slightly higher in 2022 than in 2021, with 72 percent of pairs fledgling at least one young and pairs fledging an average of 2.2±1.7 young.</p><p>To investigate if the cumulative years of treatment had an effect on vireo reproductive effort, we looked at the effects of the Treatment Index on reproductive parameters. Results from generalized linear models indicated that treatment did not have an effect on vireo nesting effort or the number of vireo fledglings per pair produced in 2022. Similarly, we did not detect an effect of Treatment Index on daily survival rate (DSR) of nests.</p><p>Analysis of vegetation data collected at vireo nests from 2006 to 2022 did not reveal an effect of vegetation cover at the nest on DSR. We did find, however, that Channel nests were placed higher in the host plant than Off-channel nests. In the Channel and Off-channel sites, successful nests were placed closer to the edge of the host plants than unsuccessful nests. Additionally, successful Off-channel nests were placed lower in the vegetation, in shorter host plants, and closer to the edge of the vegetation clump than unsuccessful nests.</p><p>Red/arroyo willow (<i>Salix laevigata</i> or <i>Salix lasiolepis</i>) were the species most commonly selected for nesting by vireos in all three site types. Black willow (<i>Salix gooddingii</i>) and mule fat (<i>Baccharis salicifolia</i>) also were commonly used. Vireos used a wider variety of species for nesting in Channel and Off-channel sites (eight and six species, respectively) compared to Restoration sites (two species), although there was limited nesting in Restoration sites in 2022.</p><p>There were 43 vireos banded before the 2022 breeding season that were resighted and identified at the Project Area in 2022, all of which were originally banded in the Project Area. Adult birds of known age ranged from 1 to 7 years old. A total of 146 vireos were newly banded in 2022. There were 8 adult vireos banded with a unique color combination, and 138 nestlings were banded with a single dark blue numbered federal band on the left leg. Between 2006 and 2022, survivorship of males (66±11 percent) was consistently higher than that of females (59±12 percent). First-year birds from 2006 to 2022 had an average annual survivorship of 15±6 percent.</p><p>First-year dispersal in 2022 averaged 6.7±7.4 kilometers (km), with the longest dispersal (15.3 km) by a male that was recaptured at Fallbrook Creek, Fallbrook Naval Weapons Station (FNWS). From 2007 to 2011, most returning first-year vireos returned to the Project Area, whereas from 2014 to 2016, the majority of returning birds dispersed to areas outside of the Project Area. From 2018 to 2021, the trend shifted, and more first-year vireos returned to the Project area. In 2022, only one first-year vireo returned to the project area and two dispersed to sites outside the Project Area (upstream to the middle San Luis Rey River and to Fallbrook Creek, FNWS). However, the total number of identified first-year vireos was low and the trend in 2022 will likely shift as additional returning first-year vireos are identified in subsequent years.</p><p>Most of the returning adult male vireos showed strong between-year site fidelity to their previous territories. Seventy-three percent of males (27/37) occupied a territory in 2022 that they had defended in 2021 (within 100 meters [m]). There were no females (0/4) detected in 2022 that returned to a territory they occupied in 2021; however, 50 percent of females (2/4) detected in 2022 returned to areas adjacent to their previous territories (within 300 m). The average between-year movement for returning adult vireos was 0.3±0.7 km. The amount of treatment at adults’ 2021 territories did not affect the distance adults moved to their 2022 territories.</p><p>We completed four protocol surveys for the endangered Southwestern Willow Flycatcher (<i>Empidonax traillii extimus</i>; flycatcher) at the Project Area between May 16 and July 25, 2022. Four transient Willow Flycatchers were detected in the Project Area in 2022. Two transients were detected in Reach 1, one in Reach 3a, and one in Pilgrim Pond. There were not any resident flycatchers documented in the Project Area in 2022.</p><p>A total of 46 vegetation transects (528 points) were sampled at the Project Area in 2022. Seventy-one percent (378/528) of points were located in the Channel, and 22 percent (115/528) were in Upper Pond. The remaining 7 percent (35/528) of points were at the Whelan Restoration site. Foliage cover below 2 m was higher at the Channel points compared to Upper Pond and Whelan Restoration, which can be attributed to the dense herbaceous vegetation that grows after mowing. Above 2 m, foliage cover was similar at the Channel and Whelan Restoration sites and was higher than at Upper Pond. Average canopy height was higher in the Channel (5.6±3.4 m) compared to Upper Pond (4.7±2.9 m) and Whelan Restoration (4.6±1.9 m). From 2006 to 2022, total foliage cover declined above 2 m in the Channel, in contrast to Upper Pond and Whelan Restoration, where little directional change in vegetation cover has occurred and where vegetation cover has largely recovered to 2006 levels. Within the Channel, the steepest declines occurred between 2009 and 2013 and between 2014 and 2016. Since 2016, we observed an increase in foliage cover, largely herbaceous, between 0 and 2 m within the Channel. The percent cover remained below levels detected before 2009 for other height classes.</p><p>We sampled vegetation at 44 vireo nests and 44 random plots (“territory” plots) within territories in the Channel and Upper Pond after the 2022 breeding season. Vireos in the Channel established territories in areas with significantly more cover from 3 to 6 m but less cover below 2 m relative to the available habitat. Within territories, Channel vireos selected nest sites with significantly more foliage cover from 2 to 3 m. Vireos at Upper Pond established territories in areas with significantly more foliage cover from 5 to 6 m and below 1 m relative to available habitat. However, within territories, Upper Pond vireos selected nest sites with significantly less foliage cover from 5 to 6 m and below 1 m.</p><p>Data either are not available or have limited availability owing to restrictions of the funding entity (U.S. Army Corps of Engineers). Please contact Christopher Chabot, Planning Division, Los Angeles District, U.S. Army Corps of Engineers, for more information.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231040","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Houston, A., Allen, L.D., Mendia, S.M., and Kus, B.E., 2023, Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey Flood Risk Management Project Area in San Diego County, California—Breeding activities and habitat use—2022 annual report: U.S. Geological Survey Open-File Report 2023–1040, 74 p., https://doi.org/10.3133/ofr20231040.","productDescription":"viii, 74 p.","numberOfPages":"74","onlineOnly":"Y","ipdsId":"IP-150400","costCenters":[{"id":651,"text":"Western Ecological Research 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href=\"https://www.usgs.gov/centers/werc\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/werc\">Western Ecological Research Center</a><br><a href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Results</li><li>Discussion</li><li>References Cited</li><li>Appendixes</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2023-06-29","noUsgsAuthors":false,"publicationDate":"2023-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Houston, Alexandra 0000-0002-8599-8265 ahouston@usgs.gov","orcid":"https://orcid.org/0000-0002-8599-8265","contributorId":139460,"corporation":false,"usgs":true,"family":"Houston","given":"Alexandra","email":"ahouston@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":876258,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Lisa D. 0000-0002-6147-3165 ldallen@usgs.gov","orcid":"https://orcid.org/0000-0002-6147-3165","contributorId":196789,"corporation":false,"usgs":true,"family":"Allen","given":"Lisa","email":"ldallen@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":876259,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mendia, Shannon M. 0000-0003-4520-7024","orcid":"https://orcid.org/0000-0003-4520-7024","contributorId":223100,"corporation":false,"usgs":true,"family":"Mendia","given":"Shannon M.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":876260,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":876261,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70246293,"text":"70246293 - 2023 - Using recovered radio transmitters to estimate positioning error and a generalized Monte Carlo simulation to incorporate error into animal telemetry analysis","interactions":[],"lastModifiedDate":"2023-06-30T12:04:30.750119","indexId":"70246293","displayToPublicDate":"2023-06-29T07:02:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Using recovered radio transmitters to estimate positioning error and a generalized Monte Carlo simulation to incorporate error into animal telemetry analysis","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>Mobile radio tracking is an important tool in fisheries research and management. Yet, the accuracy of location estimates can be highly variable across studies and within a given dataset. While some methods are available to deal with error, they generally assume a static value for error across all detections. We provide a novel method for making detection-specific error estimates using detections of recovered transmitters (i.e., mortalities or tag expulsion). These data are used to establish the relationship between received signal strength (RSS) and positional error, which can then be used to predict positional error of detections for fish at large. We then show how detection-specific estimates can be integrated into a Monte Carlo framework to analyze movement in ways robust to spatial uncertainty.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>In a telemetry study in a large river (~ 90&nbsp;m), we recovered 22 transmitters to estimate and model positional error. Error averaged 94&nbsp;m (range = 1–727&nbsp;m) for transmitters tracked by researchers on foot using a Yagi antenna, and 200&nbsp;m (range = 1–1141&nbsp;m) for transmitters tracked from vehicles using an omnidirectional whip antenna. Transmitters located near roads were tracked more accurately with both methods. Received signal strength was a strong predictor of positional error (<i>r</i><sup>2</sup> = 0.86, ground tracking; 0.65, tracking from truck) and was thus used to make detection-specific estimates of error for detections of fish at large. Monte Carlo analysis for a binary movement classification revealed that only 18% of location estimates could be confidently assigned to movement (<i>p</i> &lt; 0.05); the remainder were associated with stasis or movement that was within the range of positional error. Ignoring positional error led to positive bias of up to 1300% in individual movement estimates and varied seasonally—it was highest when fish were inactive and lowest when fish were most active.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusion</h3><p>Using recovered transmitters and RSS models to estimate telemetry error is a viable alternative to staged ‘dummy transmitter’ trials and assuming error is a constant. Our proposed approaches to incorporate detection-specific error estimates into analysis are broadly applicable and can ‘make the most’ out of highly accurate detections while also cautiously extracting spatial information from less-accurate detections.</p></div></div>","language":"English","publisher":"Springer Nature","doi":"10.1186/s40317-023-00337-y","usgsCitation":"Heim, K., Ardren, W., and Castro-Santos, T., 2023, Using recovered radio transmitters to estimate positioning error and a generalized Monte Carlo simulation to incorporate error into animal telemetry analysis: Animal Biotelemetry, v. 11, 26, 13 p., https://doi.org/10.1186/s40317-023-00337-y.","productDescription":"26, 13 p.","ipdsId":"IP-141745","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":442918,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s40317-023-00337-y","text":"Publisher Index Page"},{"id":418654,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2023-06-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Heim, Kurt C.","contributorId":264533,"corporation":false,"usgs":false,"family":"Heim","given":"Kurt C.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":876674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ardren, W.C.","contributorId":315491,"corporation":false,"usgs":false,"family":"Ardren","given":"W.C.","email":"","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":876676,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castro-Santos, Theodore 0000-0003-2575-9120","orcid":"https://orcid.org/0000-0003-2575-9120","contributorId":315433,"corporation":false,"usgs":true,"family":"Castro-Santos","given":"Theodore","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":876675,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70248113,"text":"70248113 - 2023 - Plant traits poorly predict winner and loser shrub species in a warming tundra biome","interactions":[],"lastModifiedDate":"2023-09-05T12:59:12.314377","indexId":"70248113","displayToPublicDate":"2023-06-28T07:38:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Plant traits poorly predict winner and loser shrub species in a warming tundra biome","docAbstract":"<p><span>Climate change is leading to species redistributions. In the tundra biome, shrubs are generally expanding, but not all tundra shrub species will benefit from warming. Winner and loser species, and the characteristics that may determine success or failure, have not yet been fully identified. Here, we investigate whether past abundance changes, current range sizes and projected range shifts derived from species distribution models are related to plant trait values and intraspecific trait variation. We combined 17,921 trait records with observed past and modelled future distributions from 62 tundra shrub species across three continents. We found that species with greater variation in seed mass and specific leaf area had larger projected range shifts, and projected winner species had greater seed mass values. However, trait values and variation were not consistently related to current and projected ranges, nor to past abundance change. Overall, our findings indicate that abundance change and range shifts will not lead to directional modifications in shrub trait composition, since winner and loser species share relatively similar trait spaces.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41467-023-39573-4","usgsCitation":"Garcia Criado, M., Myers-Smith, I.H., Bjorkman, A., Normand, S., Blach-Overgaard, A., Thomas, H.J., Eskelinen, A., Happonen, K., Alatalo, J., Anadon-Rosell, A., Aubin, I., te Beest, M., Betway-May, K.R., Blok, D., Buras, A., Cerabolini, B.E., Christie, K.S., Cornelissen, J.H., Forbes, B.C., Frei, E.R., Grogan, P., Hermanutz, L., Hollister, R.D., Hudson, J., Iturrate-Garcia, M., Kaarlejarvi, E., Kleyer, M., Lamarque, L.J., Lembrechts, J.J., Levesque, E., Luoto, M., Macek, P., May, J., Prevey, J.S., Schaepman-Strub, G., Sheremetiev, S.N., Siegwart Collier, L., Soudzilovskaia, N.A., Trant, A., Venn, S.E., and Virkkala, A., 2023, Plant traits poorly predict winner and loser shrub species in a warming tundra biome: Nature Communications, v. 14, 3837, 17 p., https://doi.org/10.1038/s41467-023-39573-4.","productDescription":"3837, 17 p.","ipdsId":"IP-135517","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":442929,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-023-39573-4","text":"Publisher Index Page"},{"id":420469,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Northern Hemisphere","volume":"14","noUsgsAuthors":false,"publicationDate":"2023-06-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Garcia Criado, Mariana","contributorId":328994,"corporation":false,"usgs":false,"family":"Garcia Criado","given":"Mariana","email":"","affiliations":[{"id":61891,"text":"School of GeoSciences, University of Edinburgh, Kings Buildings, 113 Crew Building, West Mains Road, Edinburgh EH9 3FF, UK","active":true,"usgs":false}],"preferred":false,"id":881901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myers-Smith, Isla H.","contributorId":328995,"corporation":false,"usgs":false,"family":"Myers-Smith","given":"Isla","email":"","middleInitial":"H.","affiliations":[{"id":61891,"text":"School of GeoSciences, University of Edinburgh, Kings Buildings, 113 Crew Building, West Mains Road, Edinburgh EH9 3FF, UK","active":true,"usgs":false}],"preferred":false,"id":881902,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bjorkman, Anne 0000-0003-2174-7800","orcid":"https://orcid.org/0000-0003-2174-7800","contributorId":260911,"corporation":false,"usgs":false,"family":"Bjorkman","given":"Anne","email":"","affiliations":[{"id":52710,"text":"(1) Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden (2) Gothenburg Global Biodiversity Centre, Gothenburg, Sweden","active":true,"usgs":false}],"preferred":false,"id":881903,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Normand, Signe","contributorId":30545,"corporation":false,"usgs":true,"family":"Normand","given":"Signe","email":"","affiliations":[],"preferred":false,"id":881904,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blach-Overgaard, Anne","contributorId":328999,"corporation":false,"usgs":false,"family":"Blach-Overgaard","given":"Anne","email":"","affiliations":[{"id":52728,"text":"Department of Biology, Aarhus University, Denmark","active":true,"usgs":false}],"preferred":false,"id":881905,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thomas, Haydn J. D.","contributorId":329000,"corporation":false,"usgs":false,"family":"Thomas","given":"Haydn","email":"","middleInitial":"J. D.","affiliations":[{"id":61891,"text":"School of GeoSciences, University of Edinburgh, Kings Buildings, 113 Crew Building, West Mains Road, Edinburgh EH9 3FF, UK","active":true,"usgs":false}],"preferred":false,"id":881906,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eskelinen, Anu","contributorId":329001,"corporation":false,"usgs":false,"family":"Eskelinen","given":"Anu","email":"","affiliations":[{"id":78546,"text":"Department of Physiological Diversity, Helmholtz Centre for Environmental Research - UFZ, Leipzig, Germany","active":true,"usgs":false}],"preferred":false,"id":881907,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Happonen, Konsta","contributorId":329002,"corporation":false,"usgs":false,"family":"Happonen","given":"Konsta","email":"","affiliations":[{"id":78547,"text":"Department of Biology and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden","active":true,"usgs":false}],"preferred":false,"id":881908,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Alatalo, Juha 0000-0001-5084-850X","orcid":"https://orcid.org/0000-0001-5084-850X","contributorId":223299,"corporation":false,"usgs":false,"family":"Alatalo","given":"Juha","email":"","affiliations":[],"preferred":false,"id":881909,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Anadon-Rosell, Alba","contributorId":329004,"corporation":false,"usgs":false,"family":"Anadon-Rosell","given":"Alba","email":"","affiliations":[{"id":78549,"text":"CREAF, Cerdanyola del Vallès, Catalonia, Spain","active":true,"usgs":false}],"preferred":false,"id":881910,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Aubin, Isabelle","contributorId":329005,"corporation":false,"usgs":false,"family":"Aubin","given":"Isabelle","email":"","affiliations":[{"id":78550,"text":"Natural Resources Canada, Canadian Forest Service, Great Lakes Forestry Centre, Sault Ste Marie, ON P6A 2E5, Canada","active":true,"usgs":false}],"preferred":false,"id":881911,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"te Beest, Mariska","contributorId":329006,"corporation":false,"usgs":false,"family":"te Beest","given":"Mariska","email":"","affiliations":[{"id":78551,"text":"Copernicus Institute for Sustainable Development, Utrecht University, the Netherlands","active":true,"usgs":false}],"preferred":false,"id":881912,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Betway-May, Katlyn R.","contributorId":329007,"corporation":false,"usgs":false,"family":"Betway-May","given":"Katlyn","email":"","middleInitial":"R.","affiliations":[{"id":78552,"text":"Biology Department, Grand Valley State University, 1 Campus Drive, Allendale, MI 49401, USA","active":true,"usgs":false}],"preferred":false,"id":881913,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Blok, Daan","contributorId":329008,"corporation":false,"usgs":false,"family":"Blok","given":"Daan","email":"","affiliations":[{"id":78553,"text":"Dutch Research Council (NWO), The Hague, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":881914,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Buras, Allan","contributorId":329009,"corporation":false,"usgs":false,"family":"Buras","given":"Allan","email":"","affiliations":[{"id":78554,"text":"Land Surface-Atmosphere Interactions, School of Life Sciences Weihenstephan, Hans-Carl-von-Carlowitz Platz 2, 85354 Freising, Germany","active":true,"usgs":false}],"preferred":false,"id":881915,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Cerabolini, Bruno E. 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Evolutionary Biology and Environmental Studies, University of Zurich, Switzerland","active":true,"usgs":false}],"preferred":false,"id":881934,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Sheremetiev, Serge N.","contributorId":329021,"corporation":false,"usgs":false,"family":"Sheremetiev","given":"Serge","email":"","middleInitial":"N.","affiliations":[{"id":78566,"text":"Komarov Botanical Institute, Prof. Popov str., 2, St. Petersburg, 197376, Russia","active":true,"usgs":false}],"preferred":false,"id":881935,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Siegwart Collier, Laura","contributorId":329022,"corporation":false,"usgs":false,"family":"Siegwart Collier","given":"Laura","email":"","affiliations":[{"id":78567,"text":"Dept. of Biology, Memorial University, St. John’s, NL, Canada","active":true,"usgs":false}],"preferred":false,"id":881936,"contributorType":{"id":1,"text":"Authors"},"rank":37},{"text":"Soudzilovskaia, Nadejda A.","contributorId":329023,"corporation":false,"usgs":false,"family":"Soudzilovskaia","given":"Nadejda","email":"","middleInitial":"A.","affiliations":[{"id":78568,"text":"Centre for Environmental Sciences, Hasselt University, Belgium","active":true,"usgs":false}],"preferred":false,"id":881937,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Trant, Andrew","contributorId":329024,"corporation":false,"usgs":false,"family":"Trant","given":"Andrew","email":"","affiliations":[{"id":78569,"text":"School of Environment, Resources and Sustainability. University of Waterloo, Waterloo, ON, Canada","active":true,"usgs":false}],"preferred":false,"id":881938,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Venn, Susanna E.","contributorId":329025,"corporation":false,"usgs":false,"family":"Venn","given":"Susanna","email":"","middleInitial":"E.","affiliations":[{"id":78570,"text":"Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Burwood, Victoria, 3125 Australia","active":true,"usgs":false}],"preferred":false,"id":881939,"contributorType":{"id":1,"text":"Authors"},"rank":40},{"text":"Virkkala, Anna-Maria","contributorId":329026,"corporation":false,"usgs":false,"family":"Virkkala","given":"Anna-Maria","email":"","affiliations":[{"id":78564,"text":"Institute of Hydrobiology, Biology Centre of Czech Academy of Sciences, Na Sadkach 7, 370 05 Ceske Budejovice, Czech Republic","active":true,"usgs":false}],"preferred":false,"id":881940,"contributorType":{"id":1,"text":"Authors"},"rank":41}]}}
,{"id":70255040,"text":"70255040 - 2023 - Tourism-supported working lands sustain a growing jaguar population in the Colombian Llanos","interactions":[],"lastModifiedDate":"2024-06-12T23:14:10.953527","indexId":"70255040","displayToPublicDate":"2023-06-27T18:08:06","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Tourism-supported working lands sustain a growing jaguar population in the Colombian Llanos","docAbstract":"<p>Understanding large carnivore demography on human-dominated lands is a priority to inform conservation strategies, yet few studies examine long-term trends. Jaguars (<i>Panthera onca</i>) are one such species whose population trends and survival rates remain unknown across working lands. We integrated nine years of camera trap data and tourist photos to estimate jaguar density, survival, abundance, and probability of tourist sightings on a working ranch and tourism destination in Colombia. We found that abundance increased from five individuals in 2014 to 28 in 2022, and density increased from 1.88 ± 0.87 per 100 km<sup>2</sup><span>&nbsp;</span>in 2014 to 3.80 ± 1.08 jaguars per 100 km<sup>2</sup><span>&nbsp;</span>in 2022. The probability of a tourist viewing a jaguar increased from 0% in 2014 to 40% in 2020 before the Covid-19 pandemic. Our results are the first robust estimates of jaguar survival and abundance on working lands. Our findings highlight the importance of productive lands for jaguar conservation and suggest that a tourism destination and working ranch can host an abundant population of jaguars when accompanied by conservation agreements and conflict interventions. Our analytical model that combines conventional data collection with tourist sightings can be applied to other species that are observed during tourism activities.</p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-023-36935-2","usgsCitation":"Hyde, M., Payan, E., Barragan, J., Stasiukynas, D., Kendall, W.L., Rincon, S., Rodriguez, J., Crooks, K., Breck, S., and Boron, V., 2023, Tourism-supported working lands sustain a growing jaguar population in the Colombian Llanos: Scientific Reports, v. 13, 10408, 11 p., https://doi.org/10.1038/s41598-023-36935-2.","productDescription":"10408, 11 p.","ipdsId":"IP-151847","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":442932,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-023-36935-2","text":"Publisher Index Page"},{"id":430051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2023-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hyde, Matthew","contributorId":338376,"corporation":false,"usgs":false,"family":"Hyde","given":"Matthew","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":903230,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Payan, Esteban","contributorId":338377,"corporation":false,"usgs":false,"family":"Payan","given":"Esteban","email":"","affiliations":[{"id":81049,"text":"Panthera","active":true,"usgs":false}],"preferred":false,"id":903231,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barragan, Jorge","contributorId":338378,"corporation":false,"usgs":false,"family":"Barragan","given":"Jorge","email":"","affiliations":[{"id":81123,"text":"Reserva Natural de la Sociedad Civil Hato La Aurora","active":true,"usgs":false}],"preferred":false,"id":903232,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stasiukynas, Diana","contributorId":338379,"corporation":false,"usgs":false,"family":"Stasiukynas","given":"Diana","email":"","affiliations":[{"id":81049,"text":"Panthera","active":true,"usgs":false}],"preferred":false,"id":903233,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kendall, William L. 0000-0003-0084-9891","orcid":"https://orcid.org/0000-0003-0084-9891","contributorId":204844,"corporation":false,"usgs":true,"family":"Kendall","given":"William","email":"","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903234,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rincon, Samantha","contributorId":338382,"corporation":false,"usgs":false,"family":"Rincon","given":"Samantha","email":"","affiliations":[{"id":81049,"text":"Panthera","active":true,"usgs":false}],"preferred":false,"id":903235,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rodriguez, Jeronimo","contributorId":338383,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Jeronimo","email":"","affiliations":[{"id":81049,"text":"Panthera","active":true,"usgs":false}],"preferred":false,"id":903236,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crooks, Kevin R.","contributorId":338384,"corporation":false,"usgs":false,"family":"Crooks","given":"Kevin R.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":903237,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Breck, Stewart W.","contributorId":338385,"corporation":false,"usgs":false,"family":"Breck","given":"Stewart W.","affiliations":[{"id":81125,"text":"United States Department of Agriculture (USDA)-Wildlife Services","active":true,"usgs":false}],"preferred":false,"id":903238,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Boron, Valeria","contributorId":338386,"corporation":false,"usgs":false,"family":"Boron","given":"Valeria","email":"","affiliations":[{"id":81049,"text":"Panthera","active":true,"usgs":false}],"preferred":false,"id":903239,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70245175,"text":"ofr20231035 - 2023 - Integrated rangeland fire management strategy actionable science plan completion assessment— Climate and weather topic, 2015–20","interactions":[],"lastModifiedDate":"2026-02-11T21:13:34.077099","indexId":"ofr20231035","displayToPublicDate":"2023-06-27T12:48:18","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1035","displayTitle":"Integrated Rangeland Fire Management Strategy Actionable Science Plan Completion Assessment: Climate and Weather Topic, 2015–20","title":"Integrated rangeland fire management strategy actionable science plan completion assessment— Climate and weather topic, 2015–20","docAbstract":"<p>Loss and degradation of sagebrush (<i>Artemisia</i> spp.) rangelands due to an accelerated invasive annual grass-wildfire cycle and other stressors are significant management, conservation, and economic issues in the western U.S. These sagebrush rangelands comprise a unique biome spanning 11 states, support over 350 wildlife species, and provide important ecosystem services that include stabilizing the economies of western communities. Impacts to sagebrush ecosystem processes over large areas due to the annual grass-wildfire cycle necessitated the development of a coordinated, science-based strategy for improving efforts to achieve long-term protection, conservation, and restoration of sagebrush rangelands, which was framed in 2015 under the Integrated Rangeland Fire Management Strategy (IRFMS). Central to this effort was the development of an Actionable Science Plan (Plan) that identified 37 priority science needs (hereinafter, “Needs”) for informing the actions proposed under the five topics (Fire, Invasives, Restoration, Sagebrush and Sage-Grouse (<i>Centrocercus urophasianus</i>), Climate and Weather) that were part of the collective focus of the IRFMS. Notable keys to this effort were identification of the Needs co-produced by managers and researchers, and a focus on resulting science being “actionable.”<br>Substantial investments aimed at fulfilling the Needs identified in the Plan have been made since its release in 2016. While the state of the science has advanced considerably, the extent to which knowledge gaps remain relative to identified Needs is relatively unknown. Moreover, new Needs have likely emerged since the original strategy as results from actionable science reveal new questions and possible (yet untested) solutions. A quantifiable assessment of the progress made on the original science Needs can identify unresolved gaps and new information that can help inform prioritization of future research efforts.<br>This report details a systematic literature review that evaluated how well peer-reviewed journal articles and formal technical reports published between January 1, 2015, and December 31, 2020, addressed four Needs identified under the Climate and Weather topic in the Plan. The topic outlined research Needs broadly focused on understanding the potential effects of climate change on vegetative resilience to inform restoration of sagebrush rangelands. We established the level of progress towards addressing each Need following a standardized set of criteria, and developed summaries detailing how research objectives nested within Needs identified in the Plan (hereinafter, “Next Steps”) were either addressed well, partially addressed or remain outstanding (that is, addressed poorly) in the literature through 2020. Our searches resulted in the inclusion of 92 science products that at least partially addressed a Need identified in the Climate and Weather topic. The Needs that were well and partially addressed included:</p><ol><li>studies of the complex set of climatic relationships that influence sagebrush rangeland restoration and seeding success;</li><li>the identification of seed collection areas across the range of environmental variability inhabited by target restoration species; and</li><li>develop predictive models to assess targeted restoration species’ responses to mid-century climatic conditions.</li></ol><p>The Need addressed poorly was the identification of native plant species, genotypes and ecotypes, and seed mixes that may be resilient to a changing climate. The information provided in this assessment will assist updating the Plan, and can inform updates of other relevant science planning documents as needed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231035","usgsCitation":"Anthony, C.R., Holloran, M.J., Ricca, M.A., Hanser, S.E., Phillips, S.L., Steblein, P., and Wiechman, L.A., 2023, Integrated rangeland fire management strategy actionable science plan completion assessment— Climate and weather topic, 2015–20: U.S. Geological Survey Open-File Report 2023–1035, 21 p., https://doi.org/10.3133/ofr20231035.","productDescription":"vi, 21 p.","onlineOnly":"Y","ipdsId":"IP-146246","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":418269,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1035/ofr20231035.pdf","text":"Report","size":"5.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1035"},{"id":418268,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1035/coverthb.jpg"},{"id":418270,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231035/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1035"},{"id":418484,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231003","text":"OFR 2023-1003 —","description":"OFR 2023-1003","linkHelpText":"Integrated rangeland fire management strategy actionable science plan completion assessment—Invasives topic, 2015–20"},{"id":418485,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231004","text":"OFR 2023-1004 —","description":"OFR 2023-1004","linkHelpText":"Integrated rangeland fire management strategy actionable science plan completion assessment—Restoration topic, 2015–20"},{"id":418486,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231009","text":"OFR 2023-1009 —","description":"OFR 2023-1009","linkHelpText":"Integrated rangeland fire management strategy actionable science plan completion assessment—Fire topic, 2015–20"},{"id":499777,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114937.htm","linkFileType":{"id":5,"text":"html"}},{"id":418487,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ofr20231010","text":"OFR 2023-1010 —","description":"OFR 2023-1010","linkHelpText":"Integrated rangeland fire management strategy actionable science plan completion assessment—Sagebrush and sage-grouse topic, 2015–20"},{"id":418272,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1035/ofr20231035.XML"},{"id":418271,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1035/images"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.36129089491212,\n              48.70726157141266\n            ],\n            [\n              -123.36129089491212,\n              35.200401221823014\n            ],\n            [\n              -101.0466463055924,\n              35.200401221823014\n            ],\n            [\n              -101.0466463055924,\n              48.70726157141266\n            ],\n            [\n              -123.36129089491212,\n              48.70726157141266\n            ]\n          ]\n        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sue_phillips@usgs.gov","orcid":"https://orcid.org/0000-0002-5891-8485","contributorId":302230,"corporation":false,"usgs":false,"family":"Phillips","given":"Sue L.","email":"sue_phillips@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":875767,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steblein, Paul F. 0000-0001-7856-5106","orcid":"https://orcid.org/0000-0001-7856-5106","contributorId":301945,"corporation":false,"usgs":false,"family":"Steblein","given":"Paul F.","affiliations":[],"preferred":false,"id":875768,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wiechman, Lief A. 0000-0002-3804-4426","orcid":"https://orcid.org/0000-0002-3804-4426","contributorId":184047,"corporation":false,"usgs":true,"family":"Wiechman","given":"Lief","email":"","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science 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,{"id":70246786,"text":"70246786 - 2023 - Modeling surface wave dynamics in upper Delaware Bay with living shorelines","interactions":[],"lastModifiedDate":"2023-07-19T13:25:40.835054","indexId":"70246786","displayToPublicDate":"2023-06-27T08:13:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2924,"text":"Ocean Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Modeling surface wave dynamics in upper Delaware Bay with living shorelines","docAbstract":"<p><span>Living shorelines gain increasing attention because they stabilize shorelines and reduce erosion. This study leverages physics-based models and bagged regression tree (BRT)&nbsp;machine learning algorithm&nbsp;to simulate&nbsp;wave&nbsp;dynamics at a living shoreline composed of constructed oyster reefs (CORs) in upper Delaware Bay. The physics-based models consist of coupled Delft3D-FLOW and SWAN in four-level nested domains. The model accuracy converges with increasing&nbsp;mesh&nbsp;resolution. The simulated wave-induced current circulation substantiates the effectiveness of CORs in trapping sediments. The simulated yearly-averaged wave power correlates qualitatively with historical shoreline retreat rates. BRT is adopted to improve the model accuracy, identify key processes responsible for simulation errors in wave height (<i>H</i><sub>8</sub></span><span>) and wave period (<i>T</i><sub>p</sub></span><span>), and quantify their importance. In the CORs sheltered area, BRT reveals that simulation errors of wind seas mainly arise from wind forcing, wave breaking and wave triad interactions. Wave breaking is seven times more important than wind forcing for simulating <i>H</i><sub>8</sub></span><span>, while wind forcing and triad interactions are of equal importance for simulating <i>T</i><sub>p</sub></span><span>. Simulation errors of swells mostly stem from&nbsp;bottom friction&nbsp;and offshore wave boundary conditions. Results from this study can help the assessment and&nbsp;adaptive management&nbsp;of CORs-based living shoreline restoration projects under climate change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oceaneng.2023.115207","usgsCitation":"Zhu, L., Chen, Q., Wang, H., Wang, N., Hu, K., Capurso, W.D., Niemoczynski, L., and Snedden, G., 2023, Modeling surface wave dynamics in upper Delaware Bay with living shorelines: Ocean Engineering, v. 284, 115207, 17 p., https://doi.org/10.1016/j.oceaneng.2023.115207.","productDescription":"115207, 17 p.","ipdsId":"IP-146841","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":419147,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"upper Delaware Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.244,\n              39.2775\n            ],\n            [\n              -75.244,\n              39.2755\n            ],\n            [\n              -75.241,\n              39.2755\n            ],\n            [\n              -75.241,\n              39.2775\n            ],\n            [\n              -75.244,\n              39.2775\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"284","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhu, Ling 0000-0003-0261-6848","orcid":"https://orcid.org/0000-0003-0261-6848","contributorId":222169,"corporation":false,"usgs":false,"family":"Zhu","given":"Ling","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":878283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chen, Q. 0000-0002-6540-8758","orcid":"https://orcid.org/0000-0002-6540-8758","contributorId":56532,"corporation":false,"usgs":false,"family":"Chen","given":"Q.","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":true,"id":878284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Hongqing 0000-0002-2977-7732","orcid":"https://orcid.org/0000-0002-2977-7732","contributorId":221902,"corporation":false,"usgs":true,"family":"Wang","given":"Hongqing","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":878285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wang, Nan 0000-0001-7569-9598","orcid":"https://orcid.org/0000-0001-7569-9598","contributorId":291600,"corporation":false,"usgs":false,"family":"Wang","given":"Nan","email":"","affiliations":[{"id":38331,"text":"Northeastern University","active":true,"usgs":false}],"preferred":false,"id":878286,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hu, Kelin","contributorId":177218,"corporation":false,"usgs":false,"family":"Hu","given":"Kelin","email":"","affiliations":[],"preferred":false,"id":878287,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Capurso, William D. 0000-0003-1182-2846","orcid":"https://orcid.org/0000-0003-1182-2846","contributorId":218672,"corporation":false,"usgs":true,"family":"Capurso","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":878288,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Niemoczynski, Lukasz M. 0000-0003-2008-9148","orcid":"https://orcid.org/0000-0003-2008-9148","contributorId":222171,"corporation":false,"usgs":true,"family":"Niemoczynski","given":"Lukasz","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":878289,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Snedden, Gregg 0000-0001-7821-3709","orcid":"https://orcid.org/0000-0001-7821-3709","contributorId":213411,"corporation":false,"usgs":true,"family":"Snedden","given":"Gregg","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":878290,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70246270,"text":"70246270 - 2023 - Development and application of an Infragravity Wave (InWave) driver to simulate nearshore processes","interactions":[],"lastModifiedDate":"2023-06-29T11:48:32.232329","indexId":"70246270","displayToPublicDate":"2023-06-27T06:45:52","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5407,"text":"Journal of Advances in Modeling Earth Systems","active":true,"publicationSubtype":{"id":10}},"title":"Development and application of an Infragravity Wave (InWave) driver to simulate nearshore processes","docAbstract":"<div class=\"article-section__content en main\"><p>Infragravity waves are key components of the hydro-sedimentary processes in coastal areas, especially during extreme storms. Accurate modeling of coastal erosion and breaching requires consideration of the effects of infragravity waves. Here, we present InWave, a new infragravity wave driver of the Coupled Ocean-Atmopshere-Waves-Sediment Transport (COAWST) modeling system. InWave computes the spatial and temporal variation of wave energy at the wave group scale and the associated incoming bound infragravity wave. Wave group-varying forces drive free infragravity wave growth and propagation within the hydrodynamic model of the coupled modeling system, which is the Regional Ocean Modeling System (ROMS) in this work. Since ROMS is a three-dimensional model, this coupling allows for the combined formation of undertow currents and infragravity waves. We verified the coupled InWave-ROMS with one idealized test case, one laboratory experiment, and one field experiment. The coupled modeling system correctly reproduced the propagation of gravity wave energy with acceptable numerical dissipation. It also captured the transfer of energy from the gravity band to the infragravity band, and within the different infragravity bands in the surf zone, the measured three-dimensional flow structure, and dune morphological evolution satisfactorily. The idealized case demonstrated that the infragravity wave variance depends on the directional resolution and horizontal grid resolution, which are known challenges with the approach taken here. The addition of InWave to COAWST enables novel investigation of nearshore hydro-sedimentary dynamics driven by infragravity waves using the strengths of the other modeling components, namely the three-dimensional nature of ROMS and the sediment transport routines.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022MS003205","usgsCitation":"Olabarrieta, M., Warner, J.C., and Hegermiller, C., 2023, Development and application of an Infragravity Wave (InWave) driver to simulate nearshore processes: Journal of Advances in Modeling Earth Systems, v. 15, no. 6, e2022MS003205, 23 p., https://doi.org/10.1029/2022MS003205.","productDescription":"e2022MS003205, 23 p.","ipdsId":"IP-141691","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":442943,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022ms003205","text":"Publisher Index Page"},{"id":418616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-06-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Olabarrieta, Maitane 0000-0002-7619-7992 molabarrieta@usgs.gov","orcid":"https://orcid.org/0000-0002-7619-7992","contributorId":211373,"corporation":false,"usgs":false,"family":"Olabarrieta","given":"Maitane","email":"molabarrieta@usgs.gov","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":876536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warner, John C. 0000-0002-3734-8903 jcwarner@usgs.gov","orcid":"https://orcid.org/0000-0002-3734-8903","contributorId":258015,"corporation":false,"usgs":true,"family":"Warner","given":"John","email":"jcwarner@usgs.gov","middleInitial":"C.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":876537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hegermiller, Christie 0000-0002-6383-7508","orcid":"https://orcid.org/0000-0002-6383-7508","contributorId":294532,"corporation":false,"usgs":false,"family":"Hegermiller","given":"Christie","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":876538,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70246263,"text":"70246263 - 2023 - Modeling the maturation history of the stacked petroleum systems of the Williston Basin, USA","interactions":[],"lastModifiedDate":"2023-06-29T11:44:43.799768","indexId":"70246263","displayToPublicDate":"2023-06-27T06:41:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2682,"text":"Marine and Petroleum Geology","active":true,"publicationSubtype":{"id":10}},"title":"Modeling the maturation history of the stacked petroleum systems of the Williston Basin, USA","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\"><span>A three-dimensional&nbsp;petroleum systems&nbsp;model was built to support&nbsp;U.S.&nbsp;Geological Survey assessments of undiscovered oil and gas resources in the Williston Basin of North Dakota, Montana, and South Dakota. Numerous Paleozoic source rocks have been proven or postulated in the basin, of which five were the focus of maturation and&nbsp;migration modeling: the&nbsp;Ordovician&nbsp;Icebox Formation, the kukersite beds of the Ordovician Red River Formation, the shales of the Devonian–Mississippian Bakken Formation, the Mississippian Madison Group, and the Pennsylvanian Tyler Formation. Calibration of the three-dimensional model to present-day temperature data indicates the existence of a north-south trend of high heat flow in western North Dakota, along with a region of high heat flow in eastern Montana. These high heat flow trends strongly control the maturity of all studied source intervals. A Bakken-specific&nbsp;</span>hydrocarbon generation<span>&nbsp;kinetic model was developed to match the calibrated time-temperature history of the basin to spatial trends in hydrogen index from programmed&nbsp;pyrolysis&nbsp;data. Generation of hydrocarbons occurred in the Cretaceous through&nbsp;Paleogene&nbsp;due to increased burial. Subsequent uplift and erosion in the&nbsp;Neogene&nbsp;cooled the basin, ending hydrocarbon generation for all source rocks. The cumulative volume of hydrocarbons generated by each of the source rocks was calculated and used to compare their relative robustness. The shales of the Bakken Formation are estimated to have generated approximately 460 billion barrels of oil equivalent (BBOE), while the Red River Formation generated approximately 130 BBOE, the Tyler Formation 94 BBOE, the Madison Group 44 BBOE, and the Icebox Formation 28 BBOE. Gross migration trends were analyzed with respect to historical oil and gas production in the basin and generally indicate segregation of petroleum systems throughout the stratigraphic column. However, most modeled scenarios indicated significant loss of Bakken oil to the Madison Group, suggesting that mixing of Madison and Bakken oils may be more prevalent than has recently been recognized in the U.S. portion of the Williston Basin and is particularly likely in fractured regions of the basin.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpetgeo.2023.106390","usgsCitation":"Gelman, S.E., 2023, Modeling the maturation history of the stacked petroleum systems of the Williston Basin, USA: Marine and Petroleum Geology, v. 155, 106390, 25 p., https://doi.org/10.1016/j.marpetgeo.2023.106390.","productDescription":"106390, 25 p.","ipdsId":"IP-145695","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":442945,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.marpetgeo.2023.106390","text":"Publisher Index Page"},{"id":435274,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9N7O1OT","text":"USGS data release","linkHelpText":"Data release for the 3D petroleum systems model of the Williston Basin, USA"},{"id":418615,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota","otherGeospatial":"Williston Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.05487036081263,\n              49.09401622161886\n            ],\n            [\n              -107.05487036081263,\n              45.9204646960259\n            ],\n            [\n              -100.81731222757732,\n              45.9204646960259\n            ],\n            [\n              -100.81731222757732,\n              49.09401622161886\n            ],\n            [\n              -107.05487036081263,\n              49.09401622161886\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"155","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gelman, Sarah E. 0000-0003-2549-9509","orcid":"https://orcid.org/0000-0003-2549-9509","contributorId":270004,"corporation":false,"usgs":true,"family":"Gelman","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":876492,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70246249,"text":"70246249 - 2023 - Connecting dryland fine-fuel assessments to wildfire exposure and natural resource values at risk","interactions":[],"lastModifiedDate":"2023-06-28T13:32:26.611","indexId":"70246249","displayToPublicDate":"2023-06-26T08:27:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Connecting dryland fine-fuel assessments to wildfire exposure and natural resource values at risk","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>Wildland fire in arid and semi-arid (dryland) regions can intensify when climatic, biophysical, and land-use factors increase fuel load and continuity. To inform wildland fire management under these conditions, we developed high-resolution (10-m) estimates of fine fuel across the Altar Valley in southern Arizona, USA, which spans dryland, grass-dominated ecosystems that are administered by multiple land managers and owners. We coupled field measurements at the end of the 2021 growing season with Sentinel-2 satellite imagery and vegetation indices acquired during and after the growing season to develop predictions of fine fuel across the entire valley. We then assessed how climate, soil, vegetation, and land-use factors influenced the amount and distribution of fine fuels. We connected fine fuels to fire management points, past ignition history, and socio-economic vulnerability to evaluate wildfire exposure and assessed how fuel related to habitat of the endangered masked bobwhite quail (<i>Colinus virginianus ridgwayi</i>).</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>The high amount of fine fuel (400–3600&nbsp;kg/ha; mean = 1392&nbsp;kg/ha) predicted by our remote sensing model (<i>R</i><sup>2</sup> = 0.63) for 2021 compared to previous years in the valley was stimulated by near-record high growing season precipitation that was 177% of the 1990–2020 mean. Fine fuel increased across the valley if it was contained within the wildlife refuge boundary and had lower temperature and vapor pressure deficit, higher soil organic content, and abundant annual plants and an invasive perennial grass (<i>R</i><sup>2</sup> = 0.24). The index of potential exposure to wildfire showed a clustering of high exposure centered around roads and low-density housing development distant from fire management points and extending into the upper elevations flanking the valley. Within the Buenos Aires National Wildlife Refuge, fine fuel increased with habitat suitability for the masked bobwhite quail within and adjacent to core habitat areas, representing a natural resource value at risk, accompanied with higher overall mean fine fuel (1672&nbsp;kg/ha) in relation to 2015 (1347&nbsp;kg/ha) and 2020 (1363&nbsp;kg/ha) means.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>By connecting high-resolution estimates of fine fuel to climatic, biophysical and land-use factors, wildfire exposure, and a natural resource value at risk, we provide a pro-active and adaptive framework for fire risk management within highly variable and rapidly changing dryland landscapes.</p>","language":"English","publisher":"Springer","doi":"10.1186/s42408-023-00196-1","usgsCitation":"Wells, A.G., Munson, S.M., Villarreal, M.L., Sesnie, S., and Laushman, K., 2023, Connecting dryland fine-fuel assessments to wildfire exposure and natural resource values at risk: Fire Ecology, v. 19, 37, 20 p., https://doi.org/10.1186/s42408-023-00196-1.","productDescription":"37, 20 p.","ipdsId":"IP-146903","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":442947,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-023-00196-1","text":"Publisher Index Page"},{"id":418583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Altar Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.68342763370987,\n              31.524152730957113\n            ],\n            [\n              -111.07689163856048,\n              31.33347646138226\n            ],\n            [\n              -110.93146487948965,\n              31.49996137458362\n            ],\n            [\n              -110.95629383835528,\n              32.06679730274084\n            ],\n            [\n              -110.97757580309751,\n              32.114877905907576\n            ],\n            [\n              -111.07334464443704,\n              32.27096495459102\n            ],\n            [\n              -111.10526759154996,\n              32.3728769856678\n            ],\n            [\n              -111.4209500685577,\n              32.39084955148782\n            ],\n            [\n              -111.68342763370987,\n              31.524152730957113\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"19","noUsgsAuthors":false,"publicationDate":"2023-06-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Wells, Adam Gerhard 0000-0001-9675-4963","orcid":"https://orcid.org/0000-0001-9675-4963","contributorId":270137,"corporation":false,"usgs":true,"family":"Wells","given":"Adam","email":"","middleInitial":"Gerhard","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":876400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":876401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":876402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sesnie, Steven E.","contributorId":315379,"corporation":false,"usgs":false,"family":"Sesnie","given":"Steven E.","affiliations":[{"id":68297,"text":"U.S. Fish and Wildlife Service, Division of Biological Sciences, Albuquerque, NM 87102, USA","active":true,"usgs":false}],"preferred":false,"id":876403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laushman, Katherine M.","contributorId":315380,"corporation":false,"usgs":false,"family":"Laushman","given":"Katherine M.","affiliations":[{"id":68299,"text":"Washington Department of Fish and Wildlife, 7801 Phillips Road SW, Lakewood, WA 98498, USA","active":true,"usgs":false}],"preferred":false,"id":876404,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70245114,"text":"sim3507 - 2023 - Percent-slope map showing historical anthracite coal-mining infrastructure at the northern end of the Lackawanna syncline, Wayne, Susquehanna, and Lackawanna Counties, Pennsylvania","interactions":[],"lastModifiedDate":"2026-02-19T18:09:02.7011","indexId":"sim3507","displayToPublicDate":"2023-06-23T20:35:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3507","displayTitle":"Percent-Slope Map Showing Historical Anthracite Coal-Mining Infrastructure at the Northern End of the Lackawanna Syncline, Wayne, Susquehanna, and Lackawanna Counties, Pennsylvania","title":"Percent-slope map showing historical anthracite coal-mining infrastructure at the northern end of the Lackawanna syncline, Wayne, Susquehanna, and Lackawanna Counties, Pennsylvania","docAbstract":"<h1>Introduction&nbsp;</h1><p>Abandoned railroads and infrastructure from the anthracite coal-mining industry are significant features in abandoned mine lands and are an important part of history; however, these features are often lost and masked by the passage of time and the regrowth of forests. The application of modern light detection and ranging (lidar) topographic analysis, combined with field verification, enabled the mapping of these historical features. Waste rock piles and abandoned mine lands from historical mining locally appear as distinct features on the landscape depicted on the percent-slope base map. Abandoned, and in many places demolished, infrastructure such as breakers, turntables, rail beds, water tanks, tram piers, and bridge abutments, for example, were identified in the field and located with a Global Positioning System (GPS) receiver. This percent-slope map shows the locations of many of the abandoned features from the coal-mining industry near Forest City, Pennsylvania, and preserves a time that was an important part of the industrial revolution and a way of life that has been quiet for over half a century.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3507","programNote":"National Cooperative Geologic Mapping Program","usgsCitation":"Walsh, G.J., and Walsh, M.C., 2023, Percent-slope map showing historical anthracite coal-mining infrastructure at the northern end of the Lackawanna syncline, Wayne, Susquehanna, and Lackawanna Counties, Pennsylvania: U.S. Geological Survey Scientific Investigations Map 3507, 1 sheet, scale 1:40,000, https://doi.org/10.3133/sim3507.","productDescription":"Sheet: 22.40 x 18.34 inches; Data Release","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-137242","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":500213,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_114936.htm","linkFileType":{"id":5,"text":"html"}},{"id":418135,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P992K6GB","text":"USGS data release","linkHelpText":"Database of historical anthracite coal-mining infrastructure at the northern end of the Lackawanna syncline, Wayne, Susquehanna, and Lackawanna counties, Pennsylvania"},{"id":418134,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3507/sim3507.pdf","text":"Report","size":"41.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3507"},{"id":418133,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3507/coverthb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Lackawanna County, Susquehanna County, Wayne County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.5,\n              41.667\n            ],\n            [\n              -75.5,\n              41.6\n            ],\n            [\n              -75.4417,\n              41.6\n            ],\n            [\n              -75.4417,\n              41.667\n            ],\n            [\n              -75.5,\n              41.667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/florence-bascom-geoscience-center\" data-mce-href=\"https://www.usgs.gov/centers/florence-bascom-geoscience-center\">Florence Bascom Geoscience Center</a><br>U.S. Geological Survey<br>926A National Center<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Explanation of Map Symbols</li><li>Introduction</li><li>Discussion</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-06-23","noUsgsAuthors":false,"publicationDate":"2023-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":265307,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":875553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walsh, Mark C.","contributorId":310414,"corporation":false,"usgs":false,"family":"Walsh","given":"Mark","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":875554,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70247138,"text":"70247138 - 2023 - Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations","interactions":[],"lastModifiedDate":"2023-11-08T16:50:55.631264","indexId":"70247138","displayToPublicDate":"2023-06-23T09:45:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7170,"text":"Frontiers in Water","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations","docAbstract":"<p><span>Deep learning (DL) models are increasingly used to forecast water quality variables for use in decision making. Ingesting recent observations of the forecasted variable has been shown to greatly increase model performance at monitored locations; however, observations are not collected at all locations, and methods are not yet well developed for DL models for optimally ingesting recent observations from other sites to inform focal sites. In this paper, we evaluate two different DL model structures, a long short-term memory neural network (LSTM) and a recurrent graph convolutional neural network (RGCN), both with and without data assimilation for forecasting daily maximum stream temperature 7 days into the future at monitored and unmonitored locations in a 70-segment stream network. All our DL models performed well when forecasting stream temperature as the root mean squared error (RMSE) across all models ranged from 2.03 to 2.11°C for 1-day lead times in the validation period, with substantially better performance at gaged locations (RMSE = 1.45–1.52°C) compared to ungaged locations (RMSE = 3.18–3.27°C). Forecast uncertainty characterization was near-perfect for gaged locations but all DL models were overconfident (i.e., uncertainty bounds too narrow) for ungaged locations. Our results show that the RGCN with data assimilation performed best for ungaged locations and especially at higher temperatures (&gt;18°C) which is important for management decisions in our study location. This indicates that the networked model structure and data assimilation techniques may help borrow information from nearby monitored sites to improve forecasts at unmonitored locations. Results from this study can help guide DL modeling decisions when forecasting other important environmental variables.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/frwa.2023.1184992","usgsCitation":"Zwart, J.A., Diaz, J.A., Hamshaw, S.D., Oliver, S.K., Ross, J.C., Sleckman, M.J., Appling, A.P., Corson-Dosch, H.R., Jia, X., Read, J.S., Sadler, J., Thompson, T.P., Watkins, D., and White, E., 2023, Evaluating deep learning architecture and data assimilation for improving water temperature forecasts at unmonitored locations: Frontiers in Water, v. 5, 1184992, 18 p., https://doi.org/10.3389/frwa.2023.1184992.","productDescription":"1184992, 18 p.","ipdsId":"IP-151646","costCenters":[{"id":37273,"text":"Advanced Research Computing (ARC)","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":442963,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frwa.2023.1184992","text":"Publisher Index Page"},{"id":419304,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2023-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":879014,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Diaz, Jeremy Alejandro 0000-0001-7087-7949","orcid":"https://orcid.org/0000-0001-7087-7949","contributorId":302986,"corporation":false,"usgs":true,"family":"Diaz","given":"Jeremy","email":"","middleInitial":"Alejandro","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":879015,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hamshaw, Scott Douglas 0000-0002-0583-4237","orcid":"https://orcid.org/0000-0002-0583-4237","contributorId":305601,"corporation":false,"usgs":true,"family":"Hamshaw","given":"Scott","email":"","middleInitial":"Douglas","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":879016,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oliver, Samantha K. 0000-0001-5668-1165","orcid":"https://orcid.org/0000-0001-5668-1165","contributorId":211886,"corporation":false,"usgs":true,"family":"Oliver","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879017,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ross, Jesse Cleveland 0000-0002-5422-8284","orcid":"https://orcid.org/0000-0002-5422-8284","contributorId":304193,"corporation":false,"usgs":true,"family":"Ross","given":"Jesse","email":"","middleInitial":"Cleveland","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":879018,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sleckman, Margaux Jeanne 0000-0002-1843-6932","orcid":"https://orcid.org/0000-0002-1843-6932","contributorId":295257,"corporation":false,"usgs":true,"family":"Sleckman","given":"Margaux","email":"","middleInitial":"Jeanne","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":879019,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":879020,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Corson-Dosch, Hayley R. 0000-0001-8695-1584","orcid":"https://orcid.org/0000-0001-8695-1584","contributorId":244707,"corporation":false,"usgs":true,"family":"Corson-Dosch","given":"Hayley","middleInitial":"R.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":879021,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jia, Xiaowei 0000-0001-8544-5233","orcid":"https://orcid.org/0000-0001-8544-5233","contributorId":237807,"corporation":false,"usgs":false,"family":"Jia","given":"Xiaowei","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":879022,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Read, Jordan S 0000-0002-3888-6631","orcid":"https://orcid.org/0000-0002-3888-6631","contributorId":305964,"corporation":false,"usgs":false,"family":"Read","given":"Jordan","email":"","middleInitial":"S","affiliations":[{"id":12701,"text":"US Geological Survey","active":true,"usgs":false}],"preferred":false,"id":879023,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sadler, Jeffrey M 0000-0001-8776-4844","orcid":"https://orcid.org/0000-0001-8776-4844","contributorId":302989,"corporation":false,"usgs":false,"family":"Sadler","given":"Jeffrey M","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":879024,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Thompson, Theodore Paul 0000-0001-7373-314X","orcid":"https://orcid.org/0000-0001-7373-314X","contributorId":295258,"corporation":false,"usgs":true,"family":"Thompson","given":"Theodore","email":"","middleInitial":"Paul","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":879025,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Watkins, David 0000-0002-7544-0700","orcid":"https://orcid.org/0000-0002-7544-0700","contributorId":317375,"corporation":false,"usgs":true,"family":"Watkins","given":"David","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":879026,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"White, Elaheh 0000-0003-1248-5247","orcid":"https://orcid.org/0000-0003-1248-5247","contributorId":295260,"corporation":false,"usgs":true,"family":"White","given":"Elaheh","email":"","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":879027,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70251488,"text":"70251488 - 2023 - Efficient modeling of wave generation and propagation in a semi-enclosed estuary","interactions":[],"lastModifiedDate":"2024-02-13T14:32:29.361948","indexId":"70251488","displayToPublicDate":"2023-06-23T08:26:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5979,"text":"Ocean Modeling","active":true,"publicationSubtype":{"id":10}},"title":"Efficient modeling of wave generation and propagation in a semi-enclosed estuary","docAbstract":"<p><span>Accurate, and high-resolution wave statistics are critical for regional hazard mapping and planning. However, long-term simulations at&nbsp;</span>high spatial resolution<span>&nbsp;are often computationally prohibitive. Here, multiple rapid frameworks including fetch-limited, look-up-table (LUT), and linear propagation are combined and tested in a large&nbsp;estuary&nbsp;exposed to both remotely (swell) and locally generated waves. Predictions are compared with observations and a traditional SWAN implementation coupled to a regional hydrodynamic model. Fetch-limited and LUT approaches both perform well where local winds dominate with errors about 10%–20% larger than traditional SWAN predictions. Combinations of these rapid approaches with linear propagation methods where remotely generated energy is present also perform well with errors 0%–20% larger than traditional SWAN predictions. Model–model comparisons exhibit lower variance than comparisons to observations suggesting that, while model implementation&nbsp;impacts prediction&nbsp;skill, model boundary conditions (winds, offshore waves) may be a dominant source of error. Overall results suggest that with a relatively small loss in prediction accuracy, simulations computation cost can be significantly reduced (by 2–4 orders of magnitude) allowing for high resolution and long-term predictions to adequately define regional wave statistics.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ocemod.2023.102231","usgsCitation":"Crosby, S.C., Nederhoff, C.M., VanArendonk, N.R., and Grossman, E.E., 2023, Efficient modeling of wave generation and propagation in a semi-enclosed estuary: Ocean Modeling, v. 184, 102231, 19 p., https://doi.org/10.1016/j.ocemod.2023.102231.","productDescription":"102231, 19 p.","ipdsId":"IP-142651","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":442971,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ocemod.2023.102231","text":"Publisher Index Page"},{"id":425603,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Washington","otherGeospatial":"Salish Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.72815512978502,\n              50.26605838403208\n            ],\n            [\n              -124.94281020369127,\n              48.47577177154896\n            ],\n            [\n              -123.03815382483049,\n              46.93731974931259\n            ],\n            [\n              -121.69673890568171,\n              47.07660747940366\n            ],\n            [\n              -122.56896464164149,\n              49.86949743396718\n            ],\n            [\n              -125.72815512978502,\n              50.26605838403208\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"184","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Crosby, Sean C. 0000-0002-1499-6836","orcid":"https://orcid.org/0000-0002-1499-6836","contributorId":219466,"corporation":false,"usgs":false,"family":"Crosby","given":"Sean","email":"","middleInitial":"C.","affiliations":[{"id":40000,"text":"Contractor, USGS","active":true,"usgs":false}],"preferred":false,"id":894707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nederhoff, Cornelis M. 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":265889,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Cornelis","email":"","middleInitial":"M.","affiliations":[{"id":33886,"text":"Deltares USA","active":true,"usgs":false}],"preferred":true,"id":894708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"VanArendonk, Nathan R.","contributorId":334097,"corporation":false,"usgs":false,"family":"VanArendonk","given":"Nathan","email":"","middleInitial":"R.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":894709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grossman, Eric E. 0000-0003-0269-6307 egrossman@usgs.gov","orcid":"https://orcid.org/0000-0003-0269-6307","contributorId":196610,"corporation":false,"usgs":true,"family":"Grossman","given":"Eric","email":"egrossman@usgs.gov","middleInitial":"E.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":894710,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70246651,"text":"70246651 - 2023 - Models of underlying autotrophic biomass dynamics fit to daily river ecosystem productivity estimates improve understanding of ecosystem disturbance and resilience","interactions":[],"lastModifiedDate":"2023-09-06T16:26:43.276047","indexId":"70246651","displayToPublicDate":"2023-06-23T07:16:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Models of underlying autotrophic biomass dynamics fit to daily river ecosystem productivity estimates improve understanding of ecosystem disturbance and resilience","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Directly observing autotrophic biomass at ecologically relevant frequencies is difficult in many ecosystems, hampering our ability to predict productivity through time. Since disturbances can impart distinct reductions in river productivity through time by modifying underlying standing stocks of biomass, mechanistic models fit to productivity time series can infer underlying biomass dynamics. We incorporated biomass dynamics into a river ecosystem productivity model for six rivers to identify disturbance flow thresholds and understand the resilience of primary producers. The magnitude of flood necessary to disturb biomass and thereby reduce ecosystem productivity was consistently lower than the more commonly used disturbance flow threshold of the flood magnitude necessary to mobilize river bed sediment. The estimated daily maximum percent increase in biomass (a proxy for resilience) ranged from 5% to 42% across rivers. Our latent biomass model improves understanding of disturbance thresholds and recovery patterns of autotrophic biomass within river ecosystems.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/ele.14269","usgsCitation":"Blaszczak, J.R., Yackulic, C., Shriver, R., and , H., 2023, Models of underlying autotrophic biomass dynamics fit to daily river ecosystem productivity estimates improve understanding of ecosystem disturbance and resilience: Ecology Letters, v. 26, no. 9, p. 1510-1522, https://doi.org/10.1111/ele.14269.","productDescription":"23 p.","startPage":"1510","endPage":"1522","ipdsId":"IP-148209","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":442974,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/ele.14269","text":"External Repository"},{"id":418894,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"26","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Blaszczak, Joanna R.","contributorId":316561,"corporation":false,"usgs":false,"family":"Blaszczak","given":"Joanna","email":"","middleInitial":"R.","affiliations":[{"id":68641,"text":"Department of Natural Resources and Environmental Science, University of Nevada, Reno, Reno, NV;Flathead Lake Biological Station, University of Montana, Polson, MT","active":true,"usgs":false}],"preferred":false,"id":877762,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":877763,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shriver, Robert K.","contributorId":297511,"corporation":false,"usgs":false,"family":"Shriver","given":"Robert K.","affiliations":[{"id":64419,"text":"Department of Natural Resources and Environmental Science, University of Nevada, Reno; Ecology, Evolution, and Conservation Biology Graduate Program, University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":877764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":" Hall","contributorId":316562,"corporation":false,"usgs":false,"given":"Hall","email":"","affiliations":[{"id":68642,"text":"Flathead Lake Biological Station, University of Montana, Polson, MT","active":true,"usgs":false}],"preferred":false,"id":877765,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70246674,"text":"70246674 - 2023 - Monazite and xenotime petrochronologic constraints on four Proterozoic tectonic episodes and ca. 1705 Ma age of the Uncompahgre Formation, southwestern Colorado, USA","interactions":[],"lastModifiedDate":"2023-08-23T16:46:14.525465","indexId":"70246674","displayToPublicDate":"2023-06-23T07:16:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Monazite and xenotime petrochronologic constraints on four Proterozoic tectonic episodes and ca. 1705 Ma age of the Uncompahgre Formation, southwestern Colorado, USA","docAbstract":"<div id=\"137069292\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>The Proterozoic tectonic evolution of the south-western USA remains incompletely understood due to limited constraints on the timing and conditions of the tectono-metamorphic phases and depositional age of metasedimentary successions. We integrated multi-scale compositional mapping, petrologic modeling, and in situ geochronology to constrain pressure-temperature-time paths from samples of Paleoproterozoic basement gneisses and overlying quartzites in southwestern Colorado, USA. Basement gneiss from the western Needle Mountains records metamorphic conditions of 600 °C at 0.75 GPa at 1764 ± 9 Ma and ~575 °C at 1741 ± 10 Ma. Gneiss sampled from drill core near Pagosa Springs, Colorado, records conditions of 700 °C at 1748 ± 9 Ma, 800 °C at 1.1 GPa at 1650 ± 40 Ma, 540 °C at 1570 ± 36 Ma, and 440 °C at 1424 ± 12 Ma. The Uncompahgre Formation was deposited at ca. 1705 Ma, as constrained by detrital monazite (1707 ± 8 Ma) and xenotime (1692 ± 40, 1725 ± 50 Ma), metamorphic xenotime (1650 ± 10 Ma), and published<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar and detrital zircon data. Compositions of ca. 1705 Ma detrital monazite and xenotime are consistent with derivation from a garnet-bearing source in the Yavapai orogenic hinterland. The Vallecito Conglomerate and Uncompahgre Formation record macroscopic folding and greenschist-facies metamorphism at 1650 ± 10 Ma and temperatures of 270 °C to &gt;570 °C at 1470–1400 Ma. Laser ablation–inductively coupled plasma–mass spectrometry (LA-ICP-MS) zircon geochronology yielded dates of 1775 ± 18 Ma from the Twilight Gneiss and 1696 ± 7 Ma from the Bakers Bridge Granite, supporting previous isotope dilution–thermal ionization mass spectrometry (ID-TIMS) dates. The Eolus Granite yielded a date of 1463 ± 6 Ma, which is older than previous 1.44–1.43 Ga ID-TIMS dates. The newly dated granite of Cataract Gulch is 1421 ± 12 Ma. In situ analysis of detrital and metamorphic monazite and xenotime, igneous zircon, and quantitative thermobarometry, integrated with previously published constraints, indicate multiple tectonic episodes after the emplacement of 1800–1760 Ma arc-related rocks. The region experienced greenschist- to amphibolite-facies metamorphism (M1) from 1760 Ma to 1740 Ma, which was followed by the intrusion of granites at 1730–1695 Ma and deposition of the Uncompahgre Formation at ca. 1705 Ma, contemporaneous with the Yavapai orogeny. Metamorphism at 1680–1600 Ma was characterized by greenschist-facies conditions near Ouray, Colorado, and granulite-facies conditions near Pagosa Springs (M2) during the Mazatzal orogeny. From 1470 Ma to 1400 Ma, greenschist- to amphibolite-facies metamorphism (M3) and largely granitic plutonism occurred during the protracted Picuris orogeny. These results demonstrate the power of monazite and xenotime analyses to constrain depositional ages, provenance, and pressure-temperature-time (<i>P</i>-<i>T</i>-<i>t</i>) paths to resolve the compound orogenic history that is characteristic of most mountain belts.</p></div>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02631.1","usgsCitation":"Hillenbrand, I.W., Williams, M.L., Karlstrom, K.E., Gilmer, A.K., Lowers, H.A., Jercinovic, M.J., Suarez, K., and Souders, A., 2023, Monazite and xenotime petrochronologic constraints on four Proterozoic tectonic episodes and ca. 1705 Ma age of the Uncompahgre Formation, southwestern Colorado, USA: Geosphere, v. 19, no. 4, p. 1057-1079, https://doi.org/10.1130/GES02631.1.","productDescription":"23 p.","startPage":"1057","endPage":"1079","ipdsId":"IP-147636","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":442976,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02631.1","text":"Publisher Index Page"},{"id":435277,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IXUBGV","text":"USGS data release","linkHelpText":"Zircon U-Pb data for Proterozoic rocks in southwestern Colorado and rocks from drill core from Wyoming, Montana, and Nebraska"},{"id":435276,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90IZUDS","text":"USGS data release","linkHelpText":"Data release of geochemistry and geochronology for Proterozoic rocks in southwestern Colorado and rocks from drill core from Colorado, North Dakota, Nevada, Wyoming, Montana, and Nebraska"},{"id":418924,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.5,\n              38.0\n            ],\n            [\n              -107.5,\n              37.3\n            ],\n            [\n              -107.2,\n              37.3\n            ],\n            [\n              -107.2,\n              38.0\n            ],\n            [\n              -107.5,\n              38.0\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"19","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-06-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Hillenbrand, Ian William 0000-0003-2801-3674","orcid":"https://orcid.org/0000-0003-2801-3674","contributorId":299032,"corporation":false,"usgs":true,"family":"Hillenbrand","given":"Ian","email":"","middleInitial":"William","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":877871,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, Michael L.","contributorId":215495,"corporation":false,"usgs":false,"family":"Williams","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":877872,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karlstrom, Karl E.","contributorId":228844,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Karl","email":"","middleInitial":"E.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":877873,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilmer, Amy K. 0000-0001-5038-8136","orcid":"https://orcid.org/0000-0001-5038-8136","contributorId":218307,"corporation":false,"usgs":true,"family":"Gilmer","given":"Amy","email":"","middleInitial":"K.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":877874,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":877875,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jercinovic, Michael J.","contributorId":316620,"corporation":false,"usgs":false,"family":"Jercinovic","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":68659,"text":"University of Massachusetts - Amherst","active":true,"usgs":false}],"preferred":false,"id":877876,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Suarez, Kaitlyn","contributorId":316621,"corporation":false,"usgs":false,"family":"Suarez","given":"Kaitlyn","email":"","affiliations":[{"id":68659,"text":"University of Massachusetts - Amherst","active":true,"usgs":false}],"preferred":false,"id":877877,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Souders, Amanda Kate 0000-0002-1367-8924","orcid":"https://orcid.org/0000-0002-1367-8924","contributorId":296423,"corporation":false,"usgs":true,"family":"Souders","given":"Amanda Kate","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":877878,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70243136,"text":"70243136 - 2023 - A 1300-year microfaunal record from the Beaufort Sea shelf indicates exceptional climate-related environmental changes over the last two centuries","interactions":[],"lastModifiedDate":"2023-07-19T15:55:47.363433","indexId":"70243136","displayToPublicDate":"2023-06-22T10:49:15","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2996,"text":"Palaeogeography, Palaeoclimatology, Palaeoecology","printIssn":"0031-0182","active":true,"publicationSubtype":{"id":10}},"title":"A 1300-year microfaunal record from the Beaufort Sea shelf indicates exceptional climate-related environmental changes over the last two centuries","docAbstract":"<p><span>The environments of&nbsp;Arctic Ocean&nbsp;nearshore areas experience high intra- and inter-annual variability, making it difficult to evaluate the impact of anthropogenic warming. However, a sediment record from the southern Canadian Beaufort Sea allowed us to reconstruct the impacts of climate and environmental changes over the last 1300&nbsp;years along the northern Yukon coast, Canada. The coring site (PG2303; 69.513°N, 138.895°W; water depth 32&nbsp;m) is located in the Herschel Basin, where high&nbsp;sedimentation rates&nbsp;(0.1–0.5&nbsp;cm a</span><sup>−1</sup><span>) allowed analyses at sub-centennial to decadal resolutions. Benthic foraminiferal,&nbsp;ostracod, and tintinnid assemblages, as well as the&nbsp;stable isotope&nbsp;composition of the foraminifera&nbsp;</span><i>Elphidium clavatum</i><span>&nbsp;and&nbsp;</span><i>Cassidulina reniforme</i><span>&nbsp;were used as paleoclimatic and ecological indicators, while the age model was based on the combined radiometric data of&nbsp;</span><sup>14</sup><span>C,&nbsp;</span><sup>210</sup><span>Pb and&nbsp;</span><sup>137</sup><span>Cs</span><i>.</i><span>&nbsp;From ca 700 to 1050&nbsp;CE, our data suggest penetration of offshore shelf-break waters inferred by the dominance of&nbsp;</span><i>C. reniforme</i><span>&nbsp;followed by the relatively abundant&nbsp;</span><i>Triloculina trihedra</i><span>&nbsp;in the foraminiferal assemblages as both species are associated with stable saline conditions. Afterwards, the occurrence of ostracods&nbsp;</span><i>Kotoracythere arctoborealis</i><span>&nbsp;and&nbsp;</span><i>Normanicythere leioderma</i><span>&nbsp;suggests influx of Pacific-sourced waters until ca. 1150&nbsp;CE. From ∼1150–1650&nbsp;CE, persistent frigid waters, limited sediment supply, and low abundances of&nbsp;microfossils&nbsp;suggest cold conditions with pervasive annual sea-ice cover that may have restricted upwelling of oceanic waters. After ∼1800&nbsp;CE, the co-occurrence of&nbsp;</span><i>Tintinnopsis fimbriata</i><span>&nbsp;and bacterial/complex&nbsp;organic carbon&nbsp;feeder foraminifera (</span><i>Quinqueloculina stalkeri</i><span>,&nbsp;</span><i>Textularia earlandi</i><span>&nbsp;and&nbsp;</span><i>Stetsonia horvathi</i><span>), suggest an increased influence of freshwater rich in&nbsp;particulate organic matter, which may be related to the spreading of the Mackenzie&nbsp;River plume&nbsp;and/or increased coastal permafrost erosion during longer ice-free&nbsp;seasons. Based on these proxy data, the shift at ∼1800&nbsp;CE marks the onset of regional warming, which further intensified after ∼1955&nbsp;CE, likely in response to the anthropogenic forcing.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2023.111670","usgsCitation":"Falardeau, J., de Vernal, A., Seidenkrantz, M., Fritz, M., Cronin, T.M., Gemery, L., Rochon, A., Carnero-Bravo, V., Hillaire-Marcel, C., Pearce, C., and Archambault, P., 2023, A 1300-year microfaunal record from the Beaufort Sea shelf indicates exceptional climate-related environmental changes over the last two centuries: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 625, 111670, 18 p., https://doi.org/10.1016/j.palaeo.2023.111670.","productDescription":"111670, 18 p.","ipdsId":"IP-146909","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":442984,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://orcid.org/0000-0003-4591-7325","text":"External Repository"},{"id":419154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","otherGeospatial":"Beaufort Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -145.2665658621064,\n              71.13218589622568\n            ],\n            [\n              -145.2665658621064,\n              68.83512392360717\n            ],\n            [\n              -136.49812630673208,\n              68.83512392360717\n            ],\n            [\n              -136.49812630673208,\n              71.13218589622568\n            ],\n            [\n              -145.2665658621064,\n              71.13218589622568\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"625","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Falardeau, Jade","contributorId":304651,"corporation":false,"usgs":false,"family":"Falardeau","given":"Jade","affiliations":[{"id":66141,"text":"1. Geotop and Département des sciences de la Terre et de l’atmosphère, Université du Québec à Montréal, Montréal, Canada","active":true,"usgs":false}],"preferred":false,"id":871236,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"de Vernal, Anne","contributorId":304652,"corporation":false,"usgs":false,"family":"de Vernal","given":"Anne","affiliations":[{"id":66142,"text":"Geotop","active":true,"usgs":false}],"preferred":false,"id":871237,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seidenkrantz, Marit-Solveig","contributorId":304650,"corporation":false,"usgs":false,"family":"Seidenkrantz","given":"Marit-Solveig","affiliations":[{"id":49183,"text":"Department of Geoscience, Aarhus University, Aarhus, Denmark","active":true,"usgs":false}],"preferred":false,"id":871238,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fritz, Michael","contributorId":176701,"corporation":false,"usgs":false,"family":"Fritz","given":"Michael","email":"","affiliations":[],"preferred":false,"id":871239,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cronin, Thomas M. 0000-0001-9522-3992 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0001-9522-3992","contributorId":304640,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":871240,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gemery, Laura 0000-0003-1966-8732","orcid":"https://orcid.org/0000-0003-1966-8732","contributorId":245413,"corporation":false,"usgs":true,"family":"Gemery","given":"Laura","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":871241,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rochon, Andre","contributorId":316792,"corporation":false,"usgs":false,"family":"Rochon","given":"Andre","email":"","affiliations":[],"preferred":false,"id":878327,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Carnero-Bravo, Vladislav","contributorId":304655,"corporation":false,"usgs":false,"family":"Carnero-Bravo","given":"Vladislav","email":"","affiliations":[],"preferred":false,"id":878328,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hillaire-Marcel, Claude","contributorId":304656,"corporation":false,"usgs":false,"family":"Hillaire-Marcel","given":"Claude","email":"","affiliations":[],"preferred":false,"id":878329,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Pearce, Christof","contributorId":197126,"corporation":false,"usgs":false,"family":"Pearce","given":"Christof","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":878330,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Archambault, Philippe","contributorId":304657,"corporation":false,"usgs":false,"family":"Archambault","given":"Philippe","email":"","affiliations":[],"preferred":false,"id":878331,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70247338,"text":"70247338 - 2023 - The March 1940 superstorm: Geoelectromagnetic hazards and impacts on American communication and power systems","interactions":[],"lastModifiedDate":"2023-07-27T15:39:00.979793","indexId":"70247338","displayToPublicDate":"2023-06-22T10:35:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3456,"text":"Space Weather","active":true,"publicationSubtype":{"id":10}},"title":"The March 1940 superstorm: Geoelectromagnetic hazards and impacts on American communication and power systems","docAbstract":"<p><span>An analysis is made of geophysical records of the 24 March 1940, magnetic storm and related reports of interference on long-line communication and power systems across the contiguous United States and, to a lesser extent, Canada. Most long-line system interference occurred during local daytime, after the second of two storm sudden commencements and during the early part of the storm's main phase. The high degree of system interference experienced during this storm is inferred to have been due to unusually large-amplitude and unusually rapid geomagnetic field variation, possibly driven by interacting interplanetary coronal-mass ejections. Geomagnetic field variation, in turn, induced geoelectric fields in the electrically conducting solid Earth, establishing large potential differences (voltages) between grounding points at communication depots and transformer substations connected by long transmission lines. It is shown that March 1940 storm-time communication- and power-system interference was primarily experienced over regions of high electromagnetic surface impedance, mainly in the upper Midwest and eastern United States. Potential differences measured on several grounded long lines during the storm exceeded 1-min resolution voltages that would have been induced by the March 1989 storm. In some places, voltages exceeded American electric-power-industry benchmarks. It is concluded that the March 1940 magnetic storm was unusually effective at inducing geoelectric fields. Although modern communication systems are now much less dependent on long electrically conducting transmission lines, modern electric-power-transmission systems are more dependent on such lines, and they, thus, might experience interference with the future occurrence of a storm as effective as that of March 1940.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022SW003379","usgsCitation":"Love, J.J., Rigler, E.J., Hartinger, M.D., Lucas, G., Kelbert, A., and Bedrosian, P.A., 2023, The March 1940 superstorm: Geoelectromagnetic hazards and impacts on American communication and power systems: Space Weather, v. 21, no. 6, e2022SW003379, 22 p., https://doi.org/10.1029/2022SW003379.","productDescription":"e2022SW003379, 22 p.","ipdsId":"IP-152212","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":442987,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022sw003379","text":"Publisher Index Page"},{"id":419393,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-06-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Love, Jeffrey J. 0000-0002-3324-0348 jlove@usgs.gov","orcid":"https://orcid.org/0000-0002-3324-0348","contributorId":760,"corporation":false,"usgs":true,"family":"Love","given":"Jeffrey","email":"jlove@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rigler, E. Joshua 0000-0003-4850-3953 erigler@usgs.gov","orcid":"https://orcid.org/0000-0003-4850-3953","contributorId":4367,"corporation":false,"usgs":true,"family":"Rigler","given":"E.","email":"erigler@usgs.gov","middleInitial":"Joshua","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hartinger, Michael D 0000-0002-2643-2202","orcid":"https://orcid.org/0000-0002-2643-2202","contributorId":296645,"corporation":false,"usgs":false,"family":"Hartinger","given":"Michael","email":"","middleInitial":"D","affiliations":[{"id":48422,"text":"Space Science Institute","active":true,"usgs":false}],"preferred":false,"id":879261,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lucas, Greg M. 0000-0003-1331-1863","orcid":"https://orcid.org/0000-0003-1331-1863","contributorId":223556,"corporation":false,"usgs":false,"family":"Lucas","given":"Greg M.","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":879262,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelbert, Anna 0000-0003-4395-398X akelbert@usgs.gov","orcid":"https://orcid.org/0000-0003-4395-398X","contributorId":184053,"corporation":false,"usgs":true,"family":"Kelbert","given":"Anna","email":"akelbert@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":879263,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":879264,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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