{"pageNumber":"83","pageRowStart":"2050","pageSize":"25","recordCount":46619,"records":[{"id":70255310,"text":"70255310 - 2024 - Managed wetlands for climate action: Potential greenhouse gas and subsidence mitigation in the Sacramento-San Joaquin Delta","interactions":[],"lastModifiedDate":"2024-06-17T13:32:35.178591","indexId":"70255310","displayToPublicDate":"2024-01-01T08:22:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Managed wetlands for climate action: Potential greenhouse gas and subsidence mitigation in the Sacramento-San Joaquin Delta","docAbstract":"<div id=\"main\"><div data-reactroot=\"\"><div class=\"body\"><div class=\"c-columns--sticky-sidebar\"><div class=\"c-tabs\"><div class=\"c-tabs__content\"><div class=\"c-tabcontent\"><div class=\"c-clientmarkup\"><p><span>In the Sacramento–San Joaquin Delta (Delta), widespread drainage of historical wetlands has led to extensive subsidence and peat carbon losses, as well as high ongoing greenhouse gas (GHG) emissions. Large-scale wetland restoration and conversion to rice fields has the potential to mitigate these effects while conferring flood protection and creating habitat for wetland species. To explore the scale of these potential benefits, this study evaluated the effects of seven Delta-wide land-use scenarios on carbon stocks, land-surface elevation, GHG emissions, and habitat. Peat mapping and data from peat cores indicate that soil carbon stocks have decreased between the early 1800s and 2010s from 288 ± 15 to 145 ± 14 million metric tons (Mt) of carbon (C). If existing land uses continue, the Delta could lose an additional 8.3&nbsp;Mt C during the coming 40 years, equal to average GHG emissions of 1.2&nbsp;Mt CO2 equivalents (CO2e) yr-1. Future restoration and rice-farming scenarios indicate that wetland restoration could theoretically halt GHG emissions, converting the Delta from a large GHG source to a weak net source or sink. Across three future scenarios based on existing restoration targets, wetland creation and conversion to rice fields reduced GHG emissions by 0.39 to 0.67&nbsp;Mt CO2e yr-1, with per-area benefits of 16 to 28 t CO2e per hectare (ha) yr-1. Differences among scenarios in extents of wetland types influenced their relative benefits for different management goals. Tidal restoration and conversion to rice fields enhanced habitat benefits and offered a source of agricultural income, but with reduced GHG mitigation compared with conversion to peat-building wetlands. This highlights the importance of clear objectives when developing land-use plans. A strategic land-management portfolio that includes rice fields and both impounded and tidal wetlands could be designed to provide GHG and subsidence mitigation while offering a diverse suite of benefits for ecosystems and people.</span></p></div></div></div></div></div></div></div></div>","language":"English","publisher":"University of California","doi":"10.15447/sfews.2024v22iss2art3","usgsCitation":"Smith Vaughn, L., Deverel, S., Panlasigui, S., Drexler, J.Z., Olds, M.A., Diaz, J.T., Harris, K.F., Morris, J., Grenier, J., Robinson, A.H., and Ball, D.A., 2024, Managed wetlands for climate action: Potential greenhouse gas and subsidence mitigation in the Sacramento-San Joaquin Delta: San Francisco Estuary and Watershed Science, v. 22, no. 2, 3, 29 p., https://doi.org/10.15447/sfews.2024v22iss2art3.","productDescription":"3, 29 p.","ipdsId":"IP-150236","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":440825,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.15447/sfews.2024v22iss2art3","text":"Publisher Index Page"},{"id":430268,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.24897737886604,\n              38.49829174347926\n            ],\n            [\n              -122.24897737886604,\n              37.83227504655902\n            ],\n            [\n              -121.05115205489969,\n              37.83227504655902\n            ],\n            [\n              -121.05115205489969,\n              38.49829174347926\n            ],\n            [\n              -122.24897737886604,\n              38.49829174347926\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-06-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith Vaughn, Lydia","contributorId":339423,"corporation":false,"usgs":false,"family":"Smith Vaughn","given":"Lydia","email":"","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":904231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Deverel, Steven J.","contributorId":339424,"corporation":false,"usgs":false,"family":"Deverel","given":"Steven J.","affiliations":[{"id":78756,"text":"Hydrofocus, Inc.","active":true,"usgs":false}],"preferred":false,"id":904232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Panlasigui, Stephanie","contributorId":339425,"corporation":false,"usgs":false,"family":"Panlasigui","given":"Stephanie","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":904233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drexler, Judith Z. 0000-0002-0127-3866 jdrexler@usgs.gov","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":167492,"corporation":false,"usgs":true,"family":"Drexler","given":"Judith","email":"jdrexler@usgs.gov","middleInitial":"Z.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":904234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olds, Marc A.","contributorId":339426,"corporation":false,"usgs":false,"family":"Olds","given":"Marc","email":"","middleInitial":"A.","affiliations":[{"id":78756,"text":"Hydrofocus, Inc.","active":true,"usgs":false}],"preferred":false,"id":904235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Diaz, Jose T.","contributorId":339427,"corporation":false,"usgs":false,"family":"Diaz","given":"Jose","email":"","middleInitial":"T.","affiliations":[{"id":78756,"text":"Hydrofocus, Inc.","active":true,"usgs":false}],"preferred":false,"id":904236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harris, Kendall F.","contributorId":339428,"corporation":false,"usgs":false,"family":"Harris","given":"Kendall","email":"","middleInitial":"F.","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":904237,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morris, James","contributorId":339429,"corporation":false,"usgs":false,"family":"Morris","given":"James","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":904238,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Grenier, J. Letitia","contributorId":339430,"corporation":false,"usgs":false,"family":"Grenier","given":"J. Letitia","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":904239,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Robinson, April H.","contributorId":339431,"corporation":false,"usgs":false,"family":"Robinson","given":"April","email":"","middleInitial":"H.","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":904240,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ball, Donna A.","contributorId":339432,"corporation":false,"usgs":false,"family":"Ball","given":"Donna","email":"","middleInitial":"A.","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":904241,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70251739,"text":"70251739 - 2024 - Morphotypical and geochemical variations of planktic foraminiferal species in Siberian and Central Arctic Ocean core tops","interactions":[],"lastModifiedDate":"2025-01-27T16:12:58.658612","indexId":"70251739","displayToPublicDate":"2024-01-01T06:48:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2294,"text":"Journal of Foraminiferal Research","active":true,"publicationSubtype":{"id":10}},"title":"Morphotypical and geochemical variations of planktic foraminiferal species in Siberian and Central Arctic Ocean core tops","docAbstract":"<div id=\"141887958\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>In this work, we utilize a transect of core top, mid- to late Holocene, sediments from the Eastern Siberian Sea to the central Arctic Ocean, spanning gradients in upper-ocean water column properties, to examine regional planktic foraminiferal species abundances and geochemistry. We present species- and morphotype-specific foraminiferal assemblages at these sites and stable isotope analyses of neogloboquadrinids. We find little variation in planktic species populations, and only small variations in<span>&nbsp;</span><i>N. pachyderma</i><span>&nbsp;</span>morphotype distributions, between sites. Spatial averages of<span>&nbsp;</span><i>N. pachyderma</i><span>&nbsp;</span>morphotype and<span>&nbsp;</span><i>N. incompta</i><span>&nbsp;</span>δ<sup>18</sup>O values show no significant differences, suggesting a similar calcification depth for all morphotypes of<span>&nbsp;</span><i>N. pachyderma</i><span>&nbsp;</span>and<span>&nbsp;</span><i>N. incompta</i><span>&nbsp;</span>across our sites, which we estimate to be between ∼ 50–150 m. Values of δ<sup>18</sup>O of a group of unencrusted specimens delineate a shallower calcification habitat.<span>&nbsp;</span><i>Neogloboquadrina pachyderma-2</i><span>&nbsp;</span>Mg/Ca values yield temperatures outside the range of observations using available calibration equations, pointing toward the need for more Arctic-specific Mg/Ca-temperature calibrations.</p></div>","language":"English","publisher":"Cushman Foundation for Foraminiferal Research","doi":"10.61551/gsjfr.54.1.1","usgsCitation":"Prabhakar, M., Thirumalai, K., Cronin, T.M., Gemery, L., Thomas, E., and Rafter, P., 2024, Morphotypical and geochemical variations of planktic foraminiferal species in Siberian and Central Arctic Ocean core tops: Journal of Foraminiferal Research, v. 54, no. 1, p. 1-19, https://doi.org/10.61551/gsjfr.54.1.1.","productDescription":"19 p.","startPage":"1","endPage":"19","ipdsId":"IP-147283","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":426029,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":440829,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.61551/gsjfr.54.1.1","text":"Publisher Index Page"}],"otherGeospatial":"central Arctic Ocean, Eastern Siberian Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -179.9,\n              90\n            ],\n            [\n              -179.9,\n              76\n            ],\n            [\n              -144,\n              76\n            ],\n            [\n              -144,\n              90\n            ],\n            [\n              -179.9,\n              90\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              179.9,\n              76\n            ],\n            [\n              179.9,\n              90\n            ],\n            [\n              40,\n              90\n            ],\n            [\n              40,\n              76\n            ],\n            [\n              179.9,\n              76\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"54","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-02-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Prabhakar, Maya","contributorId":334368,"corporation":false,"usgs":false,"family":"Prabhakar","given":"Maya","email":"","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":895422,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thirumalai, Kaustubh","contributorId":334369,"corporation":false,"usgs":false,"family":"Thirumalai","given":"Kaustubh","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":895423,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":895424,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gemery, Laura 0000-0003-1966-8732 lgemery@usgs.gov","orcid":"https://orcid.org/0000-0003-1966-8732","contributorId":5402,"corporation":false,"usgs":true,"family":"Gemery","given":"Laura","email":"lgemery@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":895425,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Elizabeth","contributorId":334370,"corporation":false,"usgs":false,"family":"Thomas","given":"Elizabeth","affiliations":[{"id":40126,"text":"University of Buffalo","active":true,"usgs":false}],"preferred":false,"id":895426,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rafter, Patrick","contributorId":334371,"corporation":false,"usgs":false,"family":"Rafter","given":"Patrick","email":"","affiliations":[{"id":13696,"text":"University of California Irvine","active":true,"usgs":false}],"preferred":false,"id":895427,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250215,"text":"70250215 - 2024 - Need and vision for global medium-resolution Landsat and Sentinel-2 data products","interactions":[],"lastModifiedDate":"2024-05-20T13:56:53.021648","indexId":"70250215","displayToPublicDate":"2024-01-01T06:39:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Need and vision for global medium-resolution Landsat and Sentinel-2 data products","docAbstract":"<p><span>Global changes in climate and land use are threatening natural ecosystems, biodiversity, and the ecosystem services people rely on. This is why it is necessary to track and monitor spatiotemporal change at a level of detail that can inform science, management, and&nbsp;policy development. The current constellation of multiple&nbsp;Landsat&nbsp;and Sentinel-2 satellites collecting imagery at predominantly&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo is=&quot;true&quot;>&amp;#x2264;</mo></math>\"><span class=\"MJX_Assistive_MathML\">≤</span></span></span><span>30-m spatial resolution affords an opportunity for the generation of global medium- resolution products every few days. Our goal is to both identify the information needs and provide direction towards the generation of a suite of global, high-level, systematically-generated, medium-resolution products designed for both management and science. Our vision builds on the success of the NASA MODIS/VIIRS product suite, while recognizing the unique strengths of medium-resolution satellite data given their&nbsp;higher spatial resolution&nbsp;and longer time series. We propose a suite of 13 essential products that enable the characterization of the current state and changes in the biosphere,&nbsp;cryosphere, and&nbsp;hydrosphere, and would fill information needs identified by the Committee on Earth Observation Satellites for the Global Climate Observing System and the Global Terrestrial Observing System, by the National Research Council of the US National Academies in the decadal survey, and by others. These products are: land cover, land cover change, burned area, forest loss,&nbsp;vegetation indices,&nbsp;phenology, dynamic habitat indices,&nbsp;albedo, land surface temperature, snow cover, ice extent, surface water extent, and&nbsp;evapotranspiration. Furthermore, we provide a list of desirable products poised for addition to the essential products (e.g., crop type, emissivity, and ice sheet velocity). Lastly, we suggest aspirational products requiring further algorithm development (e.g., forest structure and crop yield). For the identified essential products, algorithms are in place, making it feasible to begin generating products systematically. These products should be accompanied by quality and accuracy assessments undertaken following consensus protocols. Five decades after the first&nbsp;Landsat satellite, and two decades after the&nbsp;MODIS&nbsp;products were first produced, it is time now for readily available, standardized, and consistent high-level products built upon medium-resolution imagery, thereby fulfilling the promise and the vision that inspired the Landsat program since its inception.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2023.113918","usgsCitation":"Radeloff, V., Roy, D., Wulder, M., Anderson, M., Cook, B., Crawford, C., Friedl, M., Gao, F., Gorelick, N., Hansen, M., Healey, S., Hostert, P., Hulley, G., Huntington, J., Johnson, D., Neigh, C., Lyapustin, A., Lymburner, L., Pahlevan, N., Pekel, J., Scambos, T.A., Schaaf, C., Strobl, P., Vermote, E., Woodcock, C., Zhang, H.K., and Zhu, Z., 2024, Need and vision for global medium-resolution Landsat and Sentinel-2 data products: Remote Sensing of Environment, v. 300, 113918, 26 p., https://doi.org/10.1016/j.rse.2023.113918.","productDescription":"113918, 26 p.","ipdsId":"IP-156892","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":440830,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2023.113918","text":"Publisher Index Page"},{"id":423036,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"300","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Radeloff, Volker C.","contributorId":296767,"corporation":false,"usgs":false,"family":"Radeloff","given":"Volker C.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":888945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roy, David P.","contributorId":294404,"corporation":false,"usgs":false,"family":"Roy","given":"David P.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":888946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wulder, Mike","contributorId":330544,"corporation":false,"usgs":false,"family":"Wulder","given":"Mike","email":"","affiliations":[{"id":13540,"text":"Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":888947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Martha","contributorId":269899,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","affiliations":[{"id":37009,"text":"USDA Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":888948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cook, Bruce D.","contributorId":294432,"corporation":false,"usgs":false,"family":"Cook","given":"Bruce D.","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":888949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":888950,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Friedl, Mark","contributorId":331858,"corporation":false,"usgs":false,"family":"Friedl","given":"Mark","affiliations":[],"preferred":false,"id":888951,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gao, Feng 0000-0002-1865-2846","orcid":"https://orcid.org/0000-0002-1865-2846","contributorId":70671,"corporation":false,"usgs":false,"family":"Gao","given":"Feng","email":"","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":888952,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gorelick, Noel","contributorId":294417,"corporation":false,"usgs":false,"family":"Gorelick","given":"Noel","affiliations":[{"id":12484,"text":"Google","active":true,"usgs":false}],"preferred":false,"id":888953,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hansen, Matthew","contributorId":294416,"corporation":false,"usgs":false,"family":"Hansen","given":"Matthew","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":888954,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Healey, Sean","contributorId":294411,"corporation":false,"usgs":false,"family":"Healey","given":"Sean","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":888955,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hostert, Patrick","contributorId":294426,"corporation":false,"usgs":false,"family":"Hostert","given":"Patrick","affiliations":[{"id":63572,"text":"Humboldt University of Berlin","active":true,"usgs":false}],"preferred":false,"id":888956,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hulley, Glynn","contributorId":302544,"corporation":false,"usgs":false,"family":"Hulley","given":"Glynn","email":"","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":888957,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Huntington, Justin","contributorId":269892,"corporation":false,"usgs":false,"family":"Huntington","given":"Justin","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":888958,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Johnson, Dave","contributorId":331860,"corporation":false,"usgs":false,"family":"Johnson","given":"Dave","affiliations":[],"preferred":false,"id":888959,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Neigh, Christopher","contributorId":330146,"corporation":false,"usgs":false,"family":"Neigh","given":"Christopher","email":"","affiliations":[],"preferred":false,"id":888960,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Lyapustin, Alexei","contributorId":331861,"corporation":false,"usgs":false,"family":"Lyapustin","given":"Alexei","email":"","affiliations":[],"preferred":false,"id":888961,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Lymburner, 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,{"id":70264095,"text":"70264095 - 2024 - Merging integrated population models and individual-based models to project population dynamics of recolonizing species","interactions":[],"lastModifiedDate":"2025-03-06T15:59:15.6884","indexId":"70264095","displayToPublicDate":"2024-01-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Merging integrated population models and individual-based models to project population dynamics of recolonizing species","docAbstract":"<p><span>Recolonizing species exhibit unique population dynamics, namely dispersal to and colonization of new areas, that have important implications for management. A resulting challenge is how to simultaneously model demographic and movement processes so that recolonizing species can be accurately projected over time and space. We introduce a framework for spatially explicit projection modeling that harnesses the rigorous parameter estimation made possible by an integrated population model (IPM) and the flexible movement modeling made possible by an individual-based model (IBM). Our framework has two components: [1] a Bayesian IPM-driven age- and state-structured population model that governs the population state process and estimation of demographic rates, and [2] an IBM-driven spatial model that allows for the projection of dispersal and habitat colonization. We applied this model framework to estimate current and project future dynamics of gray wolves&nbsp;(</span><i>Canis lupus</i><span>) in Washington State, USA. We used data from 74 telemetered wolves and yearly pup and pack counts to parameterize the model, and then projected statewide dynamics over 50 years. Mean population growth was 1.29 (95 % Bayesian Credible Interval = 1.26–1.33) during initial recolonization from 2009 to 2020 and decreased to 1.02 (95 % Prediction Interval = 0.98–1.04) in the projection period (2021–2070). Our results suggest that gray wolves have an ~100 % probability of colonizing the last of Washington State's three specified recovery regions by 2030, regardless of alternative assumptions about how dispersing wolves select new territories. Our spatially explicit projection model can be used to project the dynamics of any species for which spatial spread is an important driver of population dynamics.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2023.110340","usgsCitation":"Petracca, L., Gardner, B., Maletzke, B., and Converse, S.J., 2024, Merging integrated population models and individual-based models to project population dynamics of recolonizing species: Biological Conservation, v. 289, 110340, 14 p., https://doi.org/10.1016/j.biocon.2023.110340.","productDescription":"110340, 14 p.","ipdsId":"IP-151020","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":482973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70263244,"text":"70263244 - 2024 - Individual-based ecological particle tracking model (ECO-PTM) for simulating juvenile chinook salmon migration and survival through the Sacramento – San Joaquin Delta","interactions":[],"lastModifiedDate":"2025-02-03T15:49:36.99796","indexId":"70263244","displayToPublicDate":"2024-01-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3331,"text":"San Francisco Estuary and Watershed Science","active":true,"publicationSubtype":{"id":10}},"title":"Individual-based ecological particle tracking model (ECO-PTM) for simulating juvenile chinook salmon migration and survival through the Sacramento – San Joaquin Delta","docAbstract":"Recovery of endangered salmon species in the Central Valley of California amidst prolonged drought and climate change necessitates innovative water management actions that balance species recovery and California's water demands. We describe an individual-based ecological particle tracking model (ECO-PTM) that can be used to assess the efficacy of proposed actions. Based on a random walk theory, the model tracks individual particles’ travel time, routing and survival in a flow field simulated by the Delta Simulation Model 2 hydrodynamic module (DSM2 HYDRO). The random walk particles are parameterized to have fish-like swimming behaviors, including upstream/downstream swimming, probabilistic holding behaviors, and stochastic swimming velocities. Particle routing at key junctions is based on well-established statistical models, and route-specific survival is calculated using the XT mean free-path length model. Behavioral parameters were estimated by fitting several competing models to a multiyear dataset of travel times from acoustic tagged juvenile salmon. The model’s baseline simulations under historical flow conditions from 1991 to 2016 successfully replicated essential relationships between salmon outmigration survival and hydrodynamic conditions, consistent with previous studies and the STARS (Survival Travel Time and Routing Simulation) statistical simulation model. Simulation results for management scenarios revealed multifaceted influences on fish survival, including Delta flow, flow at key junctions, route alterations, seasons, and water year characteristics. Importantly, these results highlight ECO-PTM’s potential to predict fish survival outcomes of proposed actions, serving as a foundation for informed future research, decision-making, and effective management strategies to enhance the survival prospects of out-migrating salmonids within the Sacramento-San Joaquin Delta ecosystem.","language":"English","publisher":"eScholarship","doi":"10.15447/sfews.2024v22iss4art4","usgsCitation":"Wang, X., Perry, R.W., Pope, A., Jackson, D., and Hance, D., 2024, Individual-based ecological particle tracking model (ECO-PTM) for simulating juvenile chinook salmon migration and survival through the Sacramento – San Joaquin Delta: San Francisco Estuary and Watershed Science, v. 22, no. 4, 4, 23 p., https://doi.org/10.15447/sfews.2024v22iss4art4.","productDescription":"4, 23 p.","ipdsId":"IP-163182","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":486828,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.15447/sfews.2024v22iss4art4","text":"Publisher Index Page"},{"id":481609,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento – San Joaquin Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.56056300774354,\n              38.494229534007104\n            ],\n            [\n              -121.56056300774354,\n              37.898481687362576\n            ],\n            [\n              -121.08815089836878,\n              37.898481687362576\n            ],\n            [\n              -121.08815089836878,\n              38.494229534007104\n            ],\n            [\n              -121.56056300774354,\n              38.494229534007104\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"22","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Xiaochun","contributorId":225264,"corporation":false,"usgs":false,"family":"Wang","given":"Xiaochun","email":"","affiliations":[{"id":41085,"text":"California Department of Water Resources, Sacramento, CA, 95819","active":true,"usgs":false}],"preferred":false,"id":925998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":925999,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pope, Adam C. 0000-0002-7253-2247","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":223237,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":926000,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Doug","contributorId":315556,"corporation":false,"usgs":false,"family":"Jackson","given":"Doug","email":"","affiliations":[{"id":68352,"text":"QEDA Consulting, LLC., 4007 Densmore Avenue N., Seattle, WA, 98103","active":true,"usgs":false}],"preferred":false,"id":926001,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hance, Dalton 0000-0002-4475-706X","orcid":"https://orcid.org/0000-0002-4475-706X","contributorId":220179,"corporation":false,"usgs":true,"family":"Hance","given":"Dalton","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":926002,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251050,"text":"70251050 - 2024 - The Coastal Carbon Library and Atlas: Open source soil data and tools supporting blue carbon research and policy","interactions":[],"lastModifiedDate":"2024-01-19T13:03:23.917405","indexId":"70251050","displayToPublicDate":"2023-12-30T06:57:57","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"The Coastal Carbon Library and Atlas: Open source soil data and tools supporting blue carbon research and policy","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Quantifying carbon fluxes into and out of coastal soils is critical to meeting greenhouse gas reduction and coastal resiliency goals. Numerous ‘blue carbon’ studies have generated, or benefitted from, synthetic datasets. However, the community those efforts inspired does not have a centralized, standardized database of disaggregated data used to estimate carbon stocks and fluxes. In this paper, we describe a data structure designed to standardize data reporting, maximize reuse, and maintain a chain of credit from synthesis to original source. We introduce version 1.0.0. of the Coastal Carbon Library, a global database of 6723 soil profiles representing blue carbon-storing systems including marshes, mangroves, tidal freshwater forests, and seagrasses. We also present the Coastal Carbon Atlas, an R-shiny application that can be used to visualize, query, and download portions of the Coastal Carbon Library. The majority (4815) of entries in the database can be used for carbon stock assessments without the need for interpolating missing soil variables, 533 are available for estimating carbon burial rate, and 326 are useful for fitting dynamic soil formation models. Organic matter density significantly varied by habitat with tidal freshwater forests having the highest density, and seagrasses having the lowest. Future work could involve expansion of the synthesis to include more deep stock assessments, increasing the representation of data outside of the U.S., and increasing the amount of data available for mangroves and seagrasses, especially carbon burial rate data. We present proposed best practices for blue carbon data including an emphasis on disaggregation, data publication, dataset documentation, and use of standardized vocabulary and templates whenever appropriate. To conclude, the Coastal Carbon Library and Atlas serve as a general example of a grassroots F.A.I.R. (Findable, Accessible, Interoperable, and Reusable) data effort demonstrating how data producers can coordinate to develop tools relevant to policy and decision-making.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.17098","usgsCitation":"Holmquist, J., Klinges, D.H., Lonneman, M., Wolfe, J., Boyd, B.M., Eagle, M.J., Sanderman, J., Todd-Brown, K., Brown, L.N., Belshe, E.F., Chapman, S.K., Corstanje, R., Janousek, C.N., Morris, J.T., Noe, G.E., Rovai, A.S., Spivak, A.C., Vahsen, M., Windham-Myers, L., Kroeger, K.D., and Megonigal, P., 2024, The Coastal Carbon Library and Atlas: Open source soil data and tools supporting blue carbon research and policy: Global Change Biology, v. 30, no. 1, e17098, 35 p., https://doi.org/10.1111/gcb.17098.","productDescription":"e17098, 35 p.","ipdsId":"IP-155461","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440836,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.17098","text":"Publisher Index Page"},{"id":424617,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"30","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Holmquist, James R.","contributorId":272628,"corporation":false,"usgs":false,"family":"Holmquist","given":"James R.","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":892870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klinges, David H.","contributorId":333483,"corporation":false,"usgs":false,"family":"Klinges","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":79892,"text":"Smithsonian Research Center and University of Florida","active":true,"usgs":false}],"preferred":false,"id":892871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lonneman, Michael","contributorId":333484,"corporation":false,"usgs":false,"family":"Lonneman","given":"Michael","email":"","affiliations":[{"id":79894,"text":"Smithsonian Research Center","active":true,"usgs":false}],"preferred":false,"id":892872,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wolfe, Jaxine","contributorId":332003,"corporation":false,"usgs":false,"family":"Wolfe","given":"Jaxine","email":"","affiliations":[{"id":13510,"text":"Smithsonian Environmental Research Center","active":true,"usgs":false}],"preferred":false,"id":892873,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boyd, Brandon M.","contributorId":261538,"corporation":false,"usgs":false,"family":"Boyd","given":"Brandon","email":"","middleInitial":"M.","affiliations":[{"id":52868,"text":"U.S. Army Corps of Engineers, Engineer Research and Development Center","active":true,"usgs":false}],"preferred":false,"id":892874,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eagle, Meagan J. 0000-0001-5072-2755 meagle@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":242890,"corporation":false,"usgs":true,"family":"Eagle","given":"Meagan","email":"meagle@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":892876,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanderman, Jonathan","contributorId":187477,"corporation":false,"usgs":false,"family":"Sanderman","given":"Jonathan","email":"","affiliations":[],"preferred":false,"id":892877,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Todd-Brown, Katherine","contributorId":240705,"corporation":false,"usgs":false,"family":"Todd-Brown","given":"Katherine","affiliations":[{"id":34255,"text":"Wilfred Laurier University","active":true,"usgs":false}],"preferred":false,"id":892878,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brown, Lauren N.","contributorId":173461,"corporation":false,"usgs":false,"family":"Brown","given":"Lauren","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":892875,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Belshe, E. Fay","contributorId":333485,"corporation":false,"usgs":false,"family":"Belshe","given":"E.","email":"","middleInitial":"Fay","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":892879,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Chapman, Samantha K.","contributorId":303864,"corporation":false,"usgs":false,"family":"Chapman","given":"Samantha","email":"","middleInitial":"K.","affiliations":[{"id":12766,"text":"Villanova University","active":true,"usgs":false}],"preferred":false,"id":892880,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Corstanje, Ron","contributorId":333486,"corporation":false,"usgs":false,"family":"Corstanje","given":"Ron","email":"","affiliations":[{"id":79896,"text":"Cranfield University","active":true,"usgs":false}],"preferred":false,"id":892881,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Janousek, Christopher N. 0000-0003-2124-6715","orcid":"https://orcid.org/0000-0003-2124-6715","contributorId":103951,"corporation":false,"usgs":false,"family":"Janousek","given":"Christopher","email":"","middleInitial":"N.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":892882,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Morris, James T.","contributorId":288074,"corporation":false,"usgs":false,"family":"Morris","given":"James","email":"","middleInitial":"T.","affiliations":[{"id":61699,"text":"Belle W. Baruch Institute for Marine and Coastal Sciences, University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":892883,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":892884,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Rovai, Andre S.","contributorId":167671,"corporation":false,"usgs":false,"family":"Rovai","given":"Andre","email":"","middleInitial":"S.","affiliations":[{"id":24801,"text":"Federal University of Santa Catarina, Dept. Ecology and Zoology, Brazil","active":true,"usgs":false}],"preferred":false,"id":892885,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Spivak, Amanda C.","contributorId":191376,"corporation":false,"usgs":false,"family":"Spivak","given":"Amanda","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":892886,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Vahsen, Megan","contributorId":333487,"corporation":false,"usgs":false,"family":"Vahsen","given":"Megan","email":"","affiliations":[{"id":39511,"text":"Notre Dame University","active":true,"usgs":false}],"preferred":false,"id":892887,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Windham-Myers, Lisamarie 0000-0003-0281-9581 lwindham-myers@usgs.gov","orcid":"https://orcid.org/0000-0003-0281-9581","contributorId":2449,"corporation":false,"usgs":true,"family":"Windham-Myers","given":"Lisamarie","email":"lwindham-myers@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":892888,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":892889,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Megonigal, Patrick","contributorId":211641,"corporation":false,"usgs":false,"family":"Megonigal","given":"Patrick","affiliations":[{"id":38291,"text":"Smithsonian Environmental Research Center, Edgewater, MD 21037, USA","active":true,"usgs":false}],"preferred":false,"id":892890,"contributorType":{"id":1,"text":"Authors"},"rank":21}]}}
,{"id":70251823,"text":"70251823 - 2024 - The 2023 US 50-State National Seismic Hazard Model: Overview and implications","interactions":[],"lastModifiedDate":"2024-03-01T12:59:10.662964","indexId":"70251823","displayToPublicDate":"2023-12-29T06:54:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"The 2023 US 50-State National Seismic Hazard Model: Overview and implications","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>The US National Seismic Hazard Model (NSHM) was updated in 2023 for all 50 states using new science on seismicity, fault ruptures, ground motions, and probabilistic techniques to produce a standard of practice for public policy and other engineering applications (defined for return periods greater than ∼475 or less than ∼10,000 years). Changes in 2023 time-independent seismic hazard (both increases and decreases compared to previous NSHMs) are substantial because the new model considers more data and updated earthquake rupture forecasts and ground-motion components. In developing the 2023 model, we tried to apply best available or applicable science based on advice of co-authors, more than 50 reviewers, and hundreds of hazard scientists and end-users, who attended public workshops and provided technical inputs. The hazard assessment incorporates new catalogs, declustering algorithms, gridded seismicity models, magnitude-scaling equations, fault-based structural and deformation models, multi-fault earthquake rupture forecast models, semi-empirical and simulation-based ground-motion models, and site amplification models conditioned on shear-wave velocities of the upper 30 m of soil and deeper sedimentary basin structures. Seismic hazard calculations yield hazard curves at hundreds of thousands of sites, ground-motion maps, uniform-hazard response spectra, and disaggregations developed for pseudo-spectral accelerations at 21 oscillator periods and two peak parameters, Modified Mercalli Intensity, and 8 site classes required by building codes and other public policy applications. Tests show the new model is consistent with past ShakeMap intensity observations. Sensitivity and uncertainty assessments ensure resulting ground motions are compatible with known hazard information and highlight the range and causes of variability in ground motions. We produce several impact products including building seismic design criteria, intensity maps, planning scenarios, and engineering risk assessments showing the potential physical and social impacts. 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,{"id":70258733,"text":"70258733 - 2024 - Operational aspects of Landsat 8 and 9 geometry","interactions":[],"lastModifiedDate":"2024-09-25T13:13:14.813707","indexId":"70258733","displayToPublicDate":"2023-12-28T08:10:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Operational aspects of Landsat 8 and 9 geometry","docAbstract":"<p><span>Landsat 9 (L9) was launched on 27 September 2021. This spacecraft contained two instruments, the Operational Land Imager-2 (OLI-2) and Thermal Infrared Sensor-2 (TIRS-2), that allow for a continuation of the Landsat program and the mission to acquire multi-spectral observations of the globe on a moderate scale. Following a period of commissioning, during which time the spacecraft and instruments were initialized and set up for operations, with the initial calibration performed, the mission moved to an operational mode This operational mode involved the same cadence and methods that were performed for the Landsat 8 (L8) spacecraft and the two instruments onboard, the Operational Land Imager-1 (OLI-1) and Thermal Infrared Sensor-1 (TIRS-1), with respect to calibration, characterization, and validation. This paper discusses the geometric operational aspects of the L9 instruments during the first year of the mission and post-commissioning, and compares these same geometric activities performed for L8 during the same time frame. During this time, optical axes of the two sensors, OLI-1 and OLI-2, were adjusted to stay aligned with the spacecraft’s Attitude Control System (ACS), and the TIRS-1 and TIRS-2 instruments were adjusted to stay aligned with the OLI-1 and OLI-2 instruments, respectively. In this paper, the L9 operational adjustments are compared to the same operational aspects of L8 during this same time frame. The comparisons shown in this paper will demonstrate that both instruments aboard L8 and L9 performed very similar geometric qualities while fully meeting the expected requirements. This paper describes the geometric differences between the L9 imagery that was made available to the public prior to the reprocessing campaign that was performed using the new calibration updates to the sensor and to ACS and TIRS-to-OLI alignment parameters. This reprocessing campaign of L9 products involved data acquired from the launch of the spacecraft up to early 2023.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs16010133","usgsCitation":"Choate, M., Rengarajan, R., Hasan, N., Denevan, A., and Ruslander, K., 2024, Operational aspects of Landsat 8 and 9 geometry: Remote Sensing, v. 16, no. 1, 133, 34 p., https://doi.org/10.3390/rs16010133.","productDescription":"133, 34 p.","ipdsId":"IP-157652","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":467043,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs16010133","text":"Publisher Index Page"},{"id":462241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Choate, Michael J. 0000-0002-8101-4994","orcid":"https://orcid.org/0000-0002-8101-4994","contributorId":251780,"corporation":false,"usgs":true,"family":"Choate","given":"Michael J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":913917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rengarajan, Rajagopalan 0000-0003-1860-7110","orcid":"https://orcid.org/0000-0003-1860-7110","contributorId":242014,"corporation":false,"usgs":false,"family":"Rengarajan","given":"Rajagopalan","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":913918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hasan, Nahid 0000-0002-0463-601X","orcid":"https://orcid.org/0000-0002-0463-601X","contributorId":292342,"corporation":false,"usgs":false,"family":"Hasan","given":"Nahid","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":913919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Denevan, Alex 0000-0002-1215-3261","orcid":"https://orcid.org/0000-0002-1215-3261","contributorId":270398,"corporation":false,"usgs":false,"family":"Denevan","given":"Alex","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":913920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ruslander, Kathryn 0000-0003-3036-1731","orcid":"https://orcid.org/0000-0003-3036-1731","contributorId":330181,"corporation":false,"usgs":false,"family":"Ruslander","given":"Kathryn","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":913921,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251097,"text":"70251097 - 2024 - A pragmatic approach for integrating molecular tools into biodiversity conservation","interactions":[],"lastModifiedDate":"2024-01-23T12:48:36.979917","indexId":"70251097","displayToPublicDate":"2023-12-25T06:45:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"A pragmatic approach for integrating molecular tools into biodiversity conservation","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>Molecular tools are increasingly applied for assessing and monitoring biodiversity and informing conservation action. While recent developments in genetic and genomic methods provide greater sensitivity in analysis and the capacity to address new questions, they are not equally available to all practitioners: There is considerable bias across institutions and countries in access to technologies, funding, and training. Consequently, in many cases, more accessible traditional genetic data (e.g., microsatellites) are still utilized for making conservation decisions. Conservation approaches need to be pragmatic by tackling clearly defined management questions and using the most appropriate methods available, while maximizing the use of limited resources. Here we present some key questions to consider when applying the molecular toolbox for accessible and actionable conservation management. Finally, we highlight a number of important steps to be addressed in a collaborative way, which can facilitate the broad integration of molecular data into conservation.</p></div></div>","language":"English","publisher":"The Society for Conservation Biology","doi":"10.1111/csp2.13053","usgsCitation":"Bertola, L.D., Bruniche-Olsen, A., Kershaw, F., Russo, I.M., MacDonald, A.J., Sunnucks, P., Bruford, M.W., Cadena, C.D., Ewart, K.M., de Bruyn, M., Eldridge, M.D., Frankham, R., Guayasamin, J.M., Grueber, C.E., Hoareau, T.B., Hoban, S.M., Hohenlohe, P.A., Hunter, M., Kotze, A., Kuja, J., Lacy, R.C., Laikre, L., Loecker, N.C., Meek, M.H., Mergeay, J., Mittan-Moreau, C.S., Neaves, L.E., O´Brien, D., Ochieng, J.W., Ogden, R., Orozco-terWengel, P., Páez-Vacas, M., Pierson, J., Ralls, K., Shaw, R.E., Sogbohossou, E.A., Stow, A., Steeves, T., Vernesi, C., Watsa, M., and Segelbacher, G., 2024, A pragmatic approach for integrating molecular tools into biodiversity conservation: Conservation Science and Practice, v. 6, no. 1, e13053, 15 p., https://doi.org/10.1111/csp2.13053.","productDescription":"e13053, 15 p.","ipdsId":"IP-128276","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":440852,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13053","text":"Publisher Index Page"},{"id":424736,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Bertola, Laura D.","contributorId":239924,"corporation":false,"usgs":false,"family":"Bertola","given":"Laura","email":"","middleInitial":"D.","affiliations":[{"id":38178,"text":"City College of New York","active":true,"usgs":false}],"preferred":false,"id":893075,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bruniche-Olsen, Anna 0000-0002-3364-2064","orcid":"https://orcid.org/0000-0002-3364-2064","contributorId":333554,"corporation":false,"usgs":false,"family":"Bruniche-Olsen","given":"Anna","email":"","affiliations":[{"id":79924,"text":"Section for Computational and RNA Biology, Department of Biology, University of Copenhagen","active":true,"usgs":false}],"preferred":false,"id":893076,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kershaw, Francine","contributorId":260831,"corporation":false,"usgs":false,"family":"Kershaw","given":"Francine","email":"","affiliations":[{"id":52686,"text":"Natural Resources Defense Council, New York","active":true,"usgs":false}],"preferred":false,"id":893077,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Russo, Isa-Rita M.","contributorId":290147,"corporation":false,"usgs":false,"family":"Russo","given":"Isa-Rita","email":"","middleInitial":"M.","affiliations":[{"id":62361,"text":"Cardiff School of Biosciences, Sir Martin Evans Building, Cardiff University, Museum Avenue, Cardiff CF10 3AX, UK","active":true,"usgs":false}],"preferred":false,"id":893078,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"MacDonald, Anna J.","contributorId":260834,"corporation":false,"usgs":false,"family":"MacDonald","given":"Anna","email":"","middleInitial":"J.","affiliations":[{"id":52688,"text":"The Australian National University, John Curtin School of Medical Research and Research School of Biology, Canberra, Australia","active":true,"usgs":false}],"preferred":false,"id":893079,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sunnucks, Paul 0000-0002-8139-7059","orcid":"https://orcid.org/0000-0002-8139-7059","contributorId":333555,"corporation":false,"usgs":false,"family":"Sunnucks","given":"Paul","email":"","affiliations":[{"id":27950,"text":"School of Biological Sciences, Monash 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de Investigación de la Biodiversidad y Cambio Climático (BioCamb), Facultad de Ciencias de Medio Ambiente, Universidad Tecnológica Indoamérica, Machala y Sabanilla, Quito, Ecuador","active":true,"usgs":false}],"preferred":false,"id":893106,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Pierson, Jennifer","contributorId":239932,"corporation":false,"usgs":false,"family":"Pierson","given":"Jennifer","email":"","affiliations":[],"preferred":false,"id":893107,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Ralls, Katherine","contributorId":37900,"corporation":false,"usgs":false,"family":"Ralls","given":"Katherine","email":"","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":893108,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Shaw, Robyn 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,{"id":70250738,"text":"70250738 - 2024 - Matching existing and future native plant materials to disturbance-driven restoration needs","interactions":[],"lastModifiedDate":"2024-05-20T15:15:41.607626","indexId":"70250738","displayToPublicDate":"2023-12-25T06:43:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Matching existing and future native plant materials to disturbance-driven restoration needs","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Assessing the appropriateness of existing native plant materials can both determine which seed source to utilize for restoration projects, and identify locations for which new seed sources need to be developed. Here, we demonstrate an approach to meet these needs. This method identifies areas of high restoration need based on disturbance patterns, assesses the regional suitability of existing native plant materials based on climate similarity, and highlights geographic (and climatic) gaps where existing materials are likely unsuitable and where plant material development projects can be prioritized. We examined 12 high priority restoration species across the Colorado Plateau, a 38-million-ha region of the Intermountain West, United States to test our methodological pipeline. Fifty-four percent of the Colorado Plateau is disturbed by livestock grazing, wildfires that have burned in the past 20 years, or energy production from oil and gas wells, natural gas pipelines, and coal mines. Of the 28 commercially available plant materials for six of the focal species, only 3 have climate similarity that encompass more than 50% of the species modeled habitat on the Colorado Plateau. Across all commercial materials, most species (10 of 12) do not have any suitable plant material for 70% or more of their geographic range on the Colorado Plateau. Of those areas identified as not having any suitable plant materials, 47–56% are also disturbed. Our method provides usable, flexible protocols and spatially referenced data sources for optimizing the planning of new native plant materials in any region where restoration is needed and spatial data are available.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/rec.14088","usgsCitation":"Winkler, D.E., Sterner, S., Bradford, J., Pilmanis, A.M., and Massatti, R., 2024, Matching existing and future native plant materials to disturbance-driven restoration needs: Restoration Ecology, v. 32, no. 4, e14088, 11 p., https://doi.org/10.1111/rec.14088.","productDescription":"e14088, 11 p.","ipdsId":"IP-154601","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":440854,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.14088","text":"Publisher Index Page"},{"id":435068,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98X9GRB","text":"USGS data release","linkHelpText":"Disturbance, energy, climate partitions, cultivars and species habitat data for the Colorado Plateau and environs"},{"id":424051,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.80146939576727,\n              39.97780672715629\n            ],\n            [\n              -111.19697720826751,\n              39.64022757305088\n            ],\n            [\n              -112.38350064576723,\n              38.44568644463388\n            ],\n            [\n              -113.21846158326713,\n              36.98571883555198\n         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0000-0003-4825-9073","orcid":"https://orcid.org/0000-0003-4825-9073","contributorId":206786,"corporation":false,"usgs":true,"family":"Winkler","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":891189,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sterner, Sarah 0000-0001-7984-967X","orcid":"https://orcid.org/0000-0001-7984-967X","contributorId":332870,"corporation":false,"usgs":false,"family":"Sterner","given":"Sarah","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":false,"id":891190,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological 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,{"id":70251352,"text":"70251352 - 2024 - How long have we been mistaken? Multi-tools shedding light into the systematics of the widespread deep-water genus Madrepora Linnaeus, 1758 (Scleractinia)","interactions":[],"lastModifiedDate":"2024-02-07T15:05:56.570052","indexId":"70251352","displayToPublicDate":"2023-12-23T08:41:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2779,"text":"Molecular Phylogenetics and Evolution","active":true,"publicationSubtype":{"id":10}},"displayTitle":"How long have we been mistaken? Multi-tools shedding light into the systematics of the widespread deep-water genus <i>Madrepora</i> Linnaeus, 1758 (Scleractinia)","title":"How long have we been mistaken? Multi-tools shedding light into the systematics of the widespread deep-water genus Madrepora Linnaeus, 1758 (Scleractinia)","docAbstract":"<p><span>Deep-water coral reefs are found worldwide and harbor biodiversity levels that are comparable to their shallow-water counterparts. However, the&nbsp;genetic diversity&nbsp;and population structure of deep-water species remain poorly explored, and historical taxonomical issues still need to be resolved. Here we used&nbsp;microsatellite&nbsp;markers as well as ultraconserved elements (UCE) and exons to shed light on the population structure,&nbsp;genetic diversity, and&nbsp;phylogenetic&nbsp;position of the genus&nbsp;</span><i>Madrepora</i><span>, which contains&nbsp;</span><i>M. oculata</i><span>, one of the most widespread scleractinian species. Population structure of 107 samples from three Southwestern Atlantic sedimentary basins revealed the occurrence of a cryptic species, herein named&nbsp;</span><i>M. piresae</i><span>&nbsp;sp. nov. (authored by Kitahara, Capel and Zilberberg), which can be found in&nbsp;sympatry&nbsp;with&nbsp;</span><i>M. oculata</i><span>. Phylogeny reconstructions based on 134 UCEs and exon regions corroborated the&nbsp;population genetic&nbsp;data, with the recovery of two well-supported groups, and reinforced the&nbsp;polyphyly&nbsp;of the family Oculinidae. In order to better accommodate the genus&nbsp;</span><i>Madrepora</i><span>, while reducing taxonomical confusion associated with the name Madreporidae, we propose the monogeneric family Bathyporidae fam. nov. (authored by Kitahara, Capel, Zilberberg and Cairns). Our findings advance the knowledge on the widespread deep-water genus&nbsp;</span><i>Madrepora</i><span>, resolve a long-standing question regarding the&nbsp;phylogenetic&nbsp;position of the genus</span><i>,</i><span>&nbsp;and highlight the need of a worldwide review of the genus.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ympev.2023.107994","usgsCitation":"Capel, K.C., Zilberberg, C., Carpes, R.M., Morrison, C., Vaga, C.F., Quattrini, A., Quek, R.Z., Huang, D., Cairns, S.D., and Kitahara, M.V., 2024, How long have we been mistaken? Multi-tools shedding light into the systematics of the widespread deep-water genus Madrepora Linnaeus, 1758 (Scleractinia): Molecular Phylogenetics and Evolution, v. 191, 107994, 10 p., https://doi.org/10.1016/j.ympev.2023.107994.","productDescription":"107994, 10 p.","ipdsId":"IP-154239","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":425471,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"191","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Capel, Katia C. C.","contributorId":333882,"corporation":false,"usgs":false,"family":"Capel","given":"Katia","email":"","middleInitial":"C. 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,{"id":70251125,"text":"70251125 - 2024 - The USGS 2023 Conterminous U.S. time‐independent earthquake rupture forecast","interactions":[],"lastModifiedDate":"2024-02-07T17:27:47.384264","indexId":"70251125","displayToPublicDate":"2023-12-22T07:14:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The USGS 2023 Conterminous U.S. time‐independent earthquake rupture forecast","docAbstract":"<div id=\"139706710\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>We present the 2023 U.S. Geological Survey time‐independent earthquake rupture forecast for the conterminous United States, which gives authoritative estimates of the magnitude, location, and time‐averaged frequency of potentially damaging earthquakes throughout the region. In addition to updating virtually all model components, a major focus has been to provide a better representation of epistemic uncertainties. For example, we have improved the representation of multifault ruptures, both in terms of allowing more and less fault connectivity than in the previous models, and in sweeping over a broader range of viable models. An unprecedented level of diagnostic information has been provided for assessing the model, and the development was overseen by a 19‐member participatory review panel. Although we believe the new model embodies significant improvements and represents the best available science, we also discuss potential model limitations, including the applicability of logic tree branch weights with respect different types of hazard and risk metrics. Future improvements are also discussed, with deformation model enhancements being particularly worthy of pursuit, as well as better representation of sampling errors in the gridded seismicity components. We also plan to add time‐dependent components, and assess implications with a wider range of hazard and risk metrics.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230120","usgsCitation":"Field, E.H., Milner, K.R., Hatem, A.E., Powers, P.M., Pollitz, F., Llenos, A.L., Zeng, Y., Johnson, K.M., Shaw, B.E., McPhillips, D., Jobe, J.A., Shumway, A., Michael, A.J., Shen, Z., Evans, E., Hearn, E.H., Mueller, C., Frankel, A.D., Petersen, M.D., DuRoss, C., Briggs, R.W., Page, M.T., Rubinstein, J., and Herrick, J.A., 2024, The USGS 2023 Conterminous U.S. time‐independent earthquake rupture forecast: Bulletin of the Seismological Society of America, v. 114, no. 1, p. 523-571, https://doi.org/10.1785/0120230120.","productDescription":"49 p.","startPage":"523","endPage":"571","ipdsId":"IP-155778","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":78686,"text":"Geologic Hazards Science Center - Seismology / 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]\n}","volume":"114","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":893184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Milner, Kevin R.","contributorId":194141,"corporation":false,"usgs":false,"family":"Milner","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":893185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hatem, Alexandra Elise 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fpollitz@usgs.gov","orcid":"https://orcid.org/0000-0002-4060-2706","contributorId":139578,"corporation":false,"usgs":true,"family":"Pollitz","given":"Frederick","email":"fpollitz@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":893188,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":893189,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zeng, Yuehua 0000-0003-1161-1264 zeng@usgs.gov","orcid":"https://orcid.org/0000-0003-1161-1264","contributorId":145693,"corporation":false,"usgs":true,"family":"Zeng","given":"Yuehua","email":"zeng@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":893190,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Kaj M. 0000-0003-1511-5241","orcid":"https://orcid.org/0000-0003-1511-5241","contributorId":329357,"corporation":false,"usgs":false,"family":"Johnson","given":"Kaj","email":"","middleInitial":"M.","affiliations":[{"id":37145,"text":"Indiana University","active":true,"usgs":false}],"preferred":false,"id":893191,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Shaw, Bruce E.","contributorId":194146,"corporation":false,"usgs":false,"family":"Shaw","given":"Bruce","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":893192,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McPhillips, Devin 0000-0003-1987-9249","orcid":"https://orcid.org/0000-0003-1987-9249","contributorId":217362,"corporation":false,"usgs":true,"family":"McPhillips","given":"Devin","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":893193,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Jobe, Jessica Ann Thompson 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Jobe","given":"Jessica","email":"","middleInitial":"Ann Thompson","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":893194,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shumway, Allison 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":893195,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":893196,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Shen, Zheng-Kang","contributorId":145691,"corporation":false,"usgs":false,"family":"Shen","given":"Zheng-Kang","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":893197,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Evans, Eileen L. 0000-0002-7290-5269","orcid":"https://orcid.org/0000-0002-7290-5269","contributorId":297103,"corporation":false,"usgs":false,"family":"Evans","given":"Eileen L.","affiliations":[{"id":36305,"text":"CSU Northridge","active":true,"usgs":false}],"preferred":false,"id":893198,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hearn, Elizabeth H.","contributorId":204395,"corporation":false,"usgs":false,"family":"Hearn","given":"Elizabeth","email":"","middleInitial":"H.","affiliations":[{"id":36931,"text":"Capstone Geopysics, Portola Valley, California,","active":true,"usgs":false}],"preferred":false,"id":893199,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Mueller, Charles 0000-0002-1868-9710 cmueller@usgs.gov","orcid":"https://orcid.org/0000-0002-1868-9710","contributorId":140380,"corporation":false,"usgs":true,"family":"Mueller","given":"Charles","email":"cmueller@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":893200,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":893201,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Petersen, Mark D. 0000-0001-8542-3990 mpetersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8542-3990","contributorId":1163,"corporation":false,"usgs":true,"family":"Petersen","given":"Mark","email":"mpetersen@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":893202,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":893203,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":893204,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":893205,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Rubinstein, Justin 0000-0003-1274-6785","orcid":"https://orcid.org/0000-0003-1274-6785","contributorId":215341,"corporation":false,"usgs":true,"family":"Rubinstein","given":"Justin","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":893206,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Herrick, Julie A. 0000-0003-0682-760X","orcid":"https://orcid.org/0000-0003-0682-760X","contributorId":243649,"corporation":false,"usgs":true,"family":"Herrick","given":"Julie","middleInitial":"A.","affiliations":[],"preferred":true,"id":893207,"contributorType":{"id":1,"text":"Authors"},"rank":24}]}}
,{"id":70251122,"text":"70251122 - 2024 - A comprehensive fault system inversion approach: Methods and application to NSHM23","interactions":[],"lastModifiedDate":"2024-02-07T17:26:00.354652","indexId":"70251122","displayToPublicDate":"2023-12-22T06:45:58","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"A comprehensive fault system inversion approach: Methods and application to NSHM23","docAbstract":"<div id=\"139706519\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>We present updated inversion‐based fault‐system solutions for the 2023 update to the National Seismic Hazard Model (NSHM23), standardizing earthquake rate model calculations on crustal faults across the western United States. We build upon the inversion methodology used in the Third Uniform California Earthquake Rupture Forecast (UCERF3) to solve for time‐independent rates of earthquakes in an interconnected fault system. The updated model explicitly maps out a wide range of fault recurrence and segmentation behavior (epistemic uncertainty), more completely exploring the solution space of viable models beyond those of UCERF3. We also improve the simulated annealing implementation, greatly increasing computational efficiency (and thus inversion convergence), and introduce an adaptive constraint weight calculation algorithm that helps to mediate between competing constraints. Hazard calculations show that ingredient changes (especially fault and deformation models) are the primary driver of hazard changes between NSHM23 and UCERF3. Updates to the inversion methodology are also consequential near faults in which the slip rate in UCERF3 was poorly fit or was satisfied primarily using large multifault ruptures that are now restricted by explicit<span>&nbsp;</span><i>b</i>‐value and segmentation constraints.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230122","usgsCitation":"Milner, K.R., and Field, E.H., 2024, A comprehensive fault system inversion approach: Methods and application to NSHM23: Bulletin of the Seismological Society of America, v. 114, no. 1, p. 486-522, https://doi.org/10.1785/0120230122.","productDescription":"37 p.","startPage":"486","endPage":"522","ipdsId":"IP-158544","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":424848,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -129.16042394598128,\n              51.35774323339572\n            ],\n            [\n              -129.16042394598128,\n              25.10503574359707\n            ],\n            [\n              -106.74831457098169,\n              25.10503574359707\n            ],\n            [\n              -106.74831457098169,\n              51.35774323339572\n            ],\n            [\n              -129.16042394598128,\n              51.35774323339572\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"114","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Milner, Kevin R.","contributorId":194141,"corporation":false,"usgs":false,"family":"Milner","given":"Kevin","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":893182,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":893183,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70250762,"text":"70250762 - 2024 - Prospects of pollinator community surveillance using terrestrial environmental DNA metagenetics","interactions":[],"lastModifiedDate":"2024-02-26T16:08:27.973988","indexId":"70250762","displayToPublicDate":"2023-12-21T07:04:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"Prospects of pollinator community surveillance using terrestrial environmental DNA metagenetics","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Current pollinator survey methods exhibit bias, require highly-trained practitioners, and are difficult to scale to large sample sizes. High-throughput sequencing of terrestrial eDNA could provide a complementary tool for studying pollinator communities, but eDNA methods have not been extensively evaluated. We conducted metagenetic analysis of whole arthropod community eDNA from 20 flower and seven honey bee-collected pollen samples and compared eDNA-derived data with traditional netting-based surveys of the pollinator communities present during sampling. We focused our analysis on Anthophila (bees) and detected eight bee genera belonging to four families across COI, 16S, and 28S markers. Results varied considerably by marker and eDNA substrate. Detected bee genera were plausible for the study system and about 43 percent of total bee genera were detected with both eDNA and net-based surveys, though netting resulted in more detections across a wider diversity of genera. Data from sequenced controls suggest that eDNA identifications were unlikely to have resulted from cross-contamination. Our results demonstrate that bee communities can be documented with eDNA techniques and that the choice of marker and substrate substantially influences detection. Future improvements to our methods are required, but eDNA surveys appear well-suited to characterize diverse pollinator communities and provide novel sampling perspectives within plant-pollinator networks. Future efforts should focus on improving the selection of markers available for pollinator eDNA metagenetics, addressing taxonomic gaps within reference sequence databases and optimizing sampling and eDNA isolation protocols. We anticipate that such improvements are highly feasible and that eDNA will be a useful tool to those who study pollinators and plant-pollinator interactions.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/edn3.492","usgsCitation":"Avalos, G., Trott, R., Ballas, J., Lin, C.H., Raines, C.D., Iwanowicz, D.D., Goodell, K., and Richardson, R.T., 2024, Prospects of pollinator community surveillance using terrestrial environmental DNA metagenetics: Environmental DNA, v. 6, no. 1, e492, 11 p., https://doi.org/10.1002/edn3.492.","productDescription":"e492, 11 p.","ipdsId":"IP-153406","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":440872,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.492","text":"Publisher Index Page"},{"id":424066,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Avalos, Grace","contributorId":332902,"corporation":false,"usgs":false,"family":"Avalos","given":"Grace","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":891292,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trott, Regina","contributorId":332903,"corporation":false,"usgs":false,"family":"Trott","given":"Regina","email":"","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":891293,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ballas, John","contributorId":332904,"corporation":false,"usgs":false,"family":"Ballas","given":"John","email":"","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":891294,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lin, Chia Hua","contributorId":332905,"corporation":false,"usgs":false,"family":"Lin","given":"Chia","email":"","middleInitial":"Hua","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":891295,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raines, Clayton D. 0000-0002-0403-190X","orcid":"https://orcid.org/0000-0002-0403-190X","contributorId":296362,"corporation":false,"usgs":true,"family":"Raines","given":"Clayton","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":891296,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Iwanowicz, Deborah D. 0000-0002-9613-8594 diwanowicz@usgs.gov","orcid":"https://orcid.org/0000-0002-9613-8594","contributorId":2253,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Deborah","email":"diwanowicz@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":891297,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goodell, Karen","contributorId":332906,"corporation":false,"usgs":false,"family":"Goodell","given":"Karen","email":"","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":891298,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Richardson, Rodney T.","contributorId":332908,"corporation":false,"usgs":false,"family":"Richardson","given":"Rodney","middleInitial":"T.","affiliations":[{"id":38802,"text":"University of Maryland Center for Environmental Studies","active":true,"usgs":false}],"preferred":false,"id":891299,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70253022,"text":"70253022 - 2024 - Environmental DNA as a tool for better understanding the distribution, abundance, and health of Atlantic and Pacific salmon","interactions":[],"lastModifiedDate":"2024-04-17T11:50:20.755724","indexId":"70253022","displayToPublicDate":"2023-12-21T06:46:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Environmental DNA as a tool for better understanding the distribution, abundance, and health of Atlantic and Pacific salmon","docAbstract":"<div class=\"abstract-group \"><div class=\"article-section__content en main\"><p>The development and application of approaches to detect and quantify environmental DNA (eDNA) have potential to improve our understanding of the distribution, abundance, and health of Atlantic Salmon<span>&nbsp;</span><i>Salmo salar</i><span>&nbsp;</span>and Pacific salmon<span>&nbsp;</span><i>Oncorhynchus</i><span>&nbsp;</span>spp. Here, we review 61 articles focusing on eDNA applications pertaining to salmon occupying natural habitat and aquaculture facilities in the context of advances, opportunities, and challenges. Given recent advances, eDNA now serves as a useful tool for detecting Atlantic Salmon and Pacific salmon and understanding threats to the health of fish and their habitats. Opportunities exist to apply sensitive and minimally invasive eDNA approaches to detect fish and assess fish habitat, assess range expansions of salmon and salmon pathogens, and detect invasive species that may threaten salmon health and abundance. Near real-time eDNA detection and quantification approaches to inform fisheries management may be on the horizon. Challenges limiting the widespread application of eDNA approaches for informing salmon management include accounting for the many factors affecting detection and quantification of eDNA, limits of data for deriving inference, and expense. Through continued development and refinement, eDNA approaches are anticipated to become increasingly available to, and utilized by, managers of Atlantic Salmon and Pacific salmon fisheries.</p></div></div>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.11038","usgsCitation":"Ramey, A.M., Mckeeman, C.M., Petrou, E., Menning, D.M., Russ, O.L., and Lopez, A., 2024, Environmental DNA as a tool for better understanding the distribution, abundance, and health of Atlantic and Pacific salmon: Fisheries Magazine, v. 49, no. 4, p. 169-180, https://doi.org/10.1002/fsh.11038.","productDescription":"12 p.","startPage":"169","endPage":"180","ipdsId":"IP-154689","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":440876,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fsh.11038","text":"Publisher Index Page"},{"id":427838,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":898958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mckeeman, Cherie Marie 0000-0001-9868-2502","orcid":"https://orcid.org/0000-0001-9868-2502","contributorId":334651,"corporation":false,"usgs":true,"family":"Mckeeman","given":"Cherie","email":"","middleInitial":"Marie","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":898959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Petrou, Eleni Leto 0000-0001-7811-9288","orcid":"https://orcid.org/0000-0001-7811-9288","contributorId":334653,"corporation":false,"usgs":true,"family":"Petrou","given":"Eleni Leto","affiliations":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"preferred":true,"id":898960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Menning, Damian M. 0000-0003-3547-3062 dmenning@usgs.gov","orcid":"https://orcid.org/0000-0003-3547-3062","contributorId":205131,"corporation":false,"usgs":true,"family":"Menning","given":"Damian","email":"dmenning@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":898961,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russ, Ora L.","contributorId":174633,"corporation":false,"usgs":false,"family":"Russ","given":"Ora","email":"","middleInitial":"L.","affiliations":[{"id":5128,"text":"U.S. Fish and Wildlife Service, University of Montana, Missoula, MT 59812","active":true,"usgs":false}],"preferred":false,"id":898962,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lopez, Andres","contributorId":287078,"corporation":false,"usgs":false,"family":"Lopez","given":"Andres","email":"","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":898963,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250846,"text":"70250846 - 2024 - Using an open-source tool to develop a three-dimensional hydrogeologic framework of the Kobo Valley, Ethiopia","interactions":[],"lastModifiedDate":"2024-01-09T16:47:27.725312","indexId":"70250846","displayToPublicDate":"2023-12-20T10:36:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1816,"text":"Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"Using an open-source tool to develop a three-dimensional hydrogeologic framework of the Kobo Valley, Ethiopia","docAbstract":"<p><span>Groundwater resource management requires understanding the groundwater basin’s hydrogeology and would be improved with the development of a three-dimensional hydrogeologic framework model (HFM). A wide range of methods and software exist to quantify the extent, structure, and properties of geologic systems. However, most geologic software is proprietary and cost-prohibitive for use in developing countries. GemPy is a Python-based, open-source (no-cost) tool for generating three-dimensional geological models. This study uses available data and GemPy to develop the Kobo Valley Hydrogeologic Framework Model (KV-HFM), a three-dimensional HFM for Kobo Valley in northern Ethiopia, which is part of the East African Rift System. The KV-HFM is a conceptual model that comprises the hydrostratigraphy, structural features, and hydraulic properties of the Kobo Valley groundwater system. The limited data described the extent and altitude of the hydrostratigraphic units using the GemPy implicit potential–field interpolation. The KV-HFM showed the existence of an east-to-west, structural-based groundwater divide composed of volcanic rock and clay. This divide splits the catchment into two groundwater systems with limited interconnected flow. This study illustrates the use of open-source software for developing an HFM using sparse, existing geologic data.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/geosciences14010003","usgsCitation":"Mekonen, S.S., Boyce, S.E., Mohammed, A.K., and Disse, M., 2024, Using an open-source tool to develop a three-dimensional hydrogeologic framework of the Kobo Valley, Ethiopia: Geosciences, v. 14, no. 1, 3, 27 p., https://doi.org/10.3390/geosciences14010003.","productDescription":"3, 27 p.","ipdsId":"IP-133573","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":440882,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/geosciences14010003","text":"Publisher Index Page"},{"id":424222,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ethiopia","otherGeospatial":"Afar Depression, Kobo Valley catchment","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              39.3,\n              12.4\n            ],\n            [\n              39.3,\n              11.9\n            ],\n            [\n              39.8333,\n              11.9\n            ],\n            [\n              39.8333,\n              12.4\n            ],\n            [\n              39.3,\n              12.4\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Mekonen, Sisay Simachew","contributorId":333048,"corporation":false,"usgs":false,"family":"Mekonen","given":"Sisay","email":"","middleInitial":"Simachew","affiliations":[{"id":79717,"text":"Hydrology and River Basin Management Department, Technical University of Munich","active":true,"usgs":false}],"preferred":false,"id":891768,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyce, Scott E. 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891769,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mohammed, Abdella K.","contributorId":333049,"corporation":false,"usgs":false,"family":"Mohammed","given":"Abdella","email":"","middleInitial":"K.","affiliations":[{"id":79718,"text":"Hydraulic and Water Resources Engineering, Arba Minch University","active":true,"usgs":false}],"preferred":false,"id":891770,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Disse, Markus","contributorId":333050,"corporation":false,"usgs":false,"family":"Disse","given":"Markus","email":"","affiliations":[{"id":79717,"text":"Hydrology and River Basin Management Department, Technical University of Munich","active":true,"usgs":false}],"preferred":false,"id":891771,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70250901,"text":"70250901 - 2024 - The magmatic origin of the Columbia River Gorge, USA","interactions":[],"lastModifiedDate":"2024-01-11T14:30:15.316981","indexId":"70250901","displayToPublicDate":"2023-12-20T08:26:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"The magmatic origin of the Columbia River Gorge, USA","docAbstract":"<div>Along subduction zones, high-relief topography is associated with sustained volcanism parallel to the plate margin. However, the relationship between magmatism and mountain building in arcs is poorly understood. Here, we study patterns of surface deformation and correlated fluvial knickpoints in the Columbia River Gorge to link long-term magmatism to the uplift and ensuing topographic development of the Cascade Range. An upwarped paleochannel exposed in the walls of the Gorge constrains unsteady deep magma flux, the ratio of intrusive to extrusive magmatic contributions to topography, and the impact of magmatism on Columbia River incision since 3.5 million years ago. Geophysical data indicate that deep magma influx beneath the arc axis is ongoing and not aligned with the current locations of volcanic edifices, representing a broad regional influence on arc construction.</div>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adj3357","usgsCitation":"Klema, N., Karlstrom, L., Cannon, C.M., Jiang, C., O'Connor, J., Wells, R., and Schmandt, B., 2024, The magmatic origin of the Columbia River Gorge, USA: Science Advances, v. 9, no. 51, eadj3357, 9 p., https://doi.org/10.1126/sciadv.adj3357.","productDescription":"eadj3357, 9 p.","ipdsId":"IP-158257","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":440891,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adj3357","text":"Publisher Index Page"},{"id":424327,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.56802273506031,\n              47.12074579478687\n            ],\n            [\n              -123.56802273506031,\n              44.32988850155465\n            ],\n            [\n              -120.18423367256025,\n              44.32988850155465\n            ],\n            [\n              -120.18423367256025,\n              47.12074579478687\n            ],\n            [\n              -123.56802273506031,\n              47.12074579478687\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"9","issue":"51","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Klema, Nathaniel","contributorId":333120,"corporation":false,"usgs":false,"family":"Klema","given":"Nathaniel","email":"","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":891979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karlstrom, Leif","contributorId":265509,"corporation":false,"usgs":false,"family":"Karlstrom","given":"Leif","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":891980,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cannon, Charles M. 0000-0003-4136-2350 ccannon@usgs.gov","orcid":"https://orcid.org/0000-0003-4136-2350","contributorId":247680,"corporation":false,"usgs":true,"family":"Cannon","given":"Charles","email":"ccannon@usgs.gov","middleInitial":"M.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":891981,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jiang, Chengxin","contributorId":202749,"corporation":false,"usgs":false,"family":"Jiang","given":"Chengxin","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":891982,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":891983,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wells, Ray 0000-0002-7796-0160","orcid":"https://orcid.org/0000-0002-7796-0160","contributorId":204016,"corporation":false,"usgs":true,"family":"Wells","given":"Ray","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":891984,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmandt, Brandon","contributorId":202750,"corporation":false,"usgs":false,"family":"Schmandt","given":"Brandon","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":891985,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70259644,"text":"70259644 - 2024 - Precursors to a continental-arc ignimbrite flare-up: Early central volcanoes of the San Juan Mountains, Colorado, USA","interactions":[],"lastModifiedDate":"2024-10-18T12:09:15.405627","indexId":"70259644","displayToPublicDate":"2023-12-20T07:06:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Precursors to a continental-arc ignimbrite flare-up: Early central volcanoes of the San Juan Mountains, Colorado, USA","docAbstract":"<p>Our newly acquired and recently published map, geochronologic, and compositional data for early intermediate-composition central volcanoes in the northeastern San Juan Mountains provide insights about the broad magmatic precursors to the large continental-arc ignimbrite flare-up in the mid-Cenozoic Southern Rocky Mountain volcanic field (SRMVF). Initial volcanism migrated from central Colorado to northern New Mexico ca. 40–29 Ma, as part of a more regional trend of southward-progressing mid-Cenozoic magmatism in the U.S. segment of the North American Cordillera. Within the San Juan locus, which represents the largest preserved erosional remnant of the SRMVF and site of most intense eruptive activity, new<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar and U-Pb zircon ages show that eruptions at many individual edifices began nearly concurrently, at ca. 35 Ma, with peak activity at 34–32 Ma. Broadly similar precursor effusive volcanism characterizes other major loci of continental-arc ignimbrite magmatism along the western American cordilleras, but none of these sites records early volcanism as voluminous, spatially widespread, well exposed, or compositionally diverse as the San Juan locus in Colorado.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02691.1","usgsCitation":"Lipman, P.W., Zimmerer, M.J., and Gilmer, A.K., 2024, Precursors to a continental-arc ignimbrite flare-up: Early central volcanoes of the San Juan Mountains, Colorado, USA: Geosphere, v. 20, no. 1, p. 23-73, https://doi.org/10.1130/GES02691.1.","productDescription":"51 p.","startPage":"23","endPage":"73","ipdsId":"IP-155437","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467044,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02691.1","text":"Publisher Index Page"},{"id":462995,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"San Juan Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.68165761517949,\n              39.59682872691155\n            ],\n            [\n              -108.68165761517949,\n              36.71205671615208\n            ],\n            [\n              -104.3200844779584,\n              36.71205671615208\n            ],\n            [\n              -104.3200844779584,\n              39.59682872691155\n            ],\n            [\n              -108.68165761517949,\n              39.59682872691155\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Lipman, Peter W. 0000-0001-9175-6118","orcid":"https://orcid.org/0000-0001-9175-6118","contributorId":203612,"corporation":false,"usgs":true,"family":"Lipman","given":"Peter","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":916126,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zimmerer, Matthew J.","contributorId":191162,"corporation":false,"usgs":false,"family":"Zimmerer","given":"Matthew","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":916127,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":916128,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70250627,"text":"70250627 - 2024 - Legacy sediment as a potential source of orthophosphate: Preliminary conceptual and geochemical models for the Susquehanna River, Chesapeake Bay watershed, USA","interactions":[],"lastModifiedDate":"2023-12-21T12:59:23.83208","indexId":"70250627","displayToPublicDate":"2023-12-20T06:56:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Legacy sediment as a potential source of orthophosphate: Preliminary conceptual and geochemical models for the Susquehanna River, Chesapeake Bay watershed, USA","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0030\"><span>Nutrient pollution from agriculture and urban areas plus&nbsp;acid mine drainage&nbsp;(AMD) from legacy coal mines are primary causes of water-quality impairment in the Susquehanna River, which is the predominant source of freshwater and nutrients entering the Chesapeake Bay. Recent increases in the delivery of dissolved&nbsp;orthophosphate&nbsp;(PO</span><sub>4</sub>) from the river to the bay may be linked to long-term increases in pH, decreased acidity of precipitation, and decreased acidity, iron, and aluminum loading from widespread AMD. Since the 1950s, baseline pH increased from ~6.5 to ~8 in the West Branch and “North Branch” of the Susquehanna River, which drain bituminous and anthracite coalfields of Pennsylvania. A current baseline pH of ~8 and daily maxima exceeding 9 have been documented along the lower Susquehanna River. In response to improved river quality, bioavailable PO<sub>4</sub><span>&nbsp;</span>now may be released into solution from legacy sediment that has filled major impoundments in lower reaches of the river. At typical pH (5–8) of natural water, aqueous PO<sub>4</sub><span>&nbsp;species tend to be adsorbed by hydrous iron, aluminum, and&nbsp;manganese oxides&nbsp;that coat soil and sediment particles; however, PO</span><sub>4</sub><span>&nbsp;</span>may be substantially desorbed at pH &gt;8. We created a geochemical model that simulates equilibrium aqueous/solid distributions of PO<sub>4</sub><span>&nbsp;</span>as pH and other solution characteristics change. Considering current conditions in the lower Susquehanna River, the model demonstrates potential for extensive release of adsorbed PO<sub>4</sub><span>&nbsp;</span>at pH &gt;8. Empirical data from laboratory experiments corroborate model results. The transfer of PO<sub>4</sub><span>&nbsp;</span>into the water column may increase algae growth, which removes CO<sub>2</sub><span>&nbsp;</span>and drives pH to higher values, facilitating additional PO<sub>4</sub><span>&nbsp;release and exacerbating the potential for&nbsp;harmful algal blooms. Thus, legacy sediment is a currently unquantified source of PO</span><sub>4</sub><span>&nbsp;</span>that warrants consideration by resource managers and programs collaborating to reduce phosphorus loads to the bay and similar settings worldwide.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.169361","usgsCitation":"Cravotta, C., Tasker, T.L., Smyntek, P.M., Blomquist, J.D., Clune, J.W., Zhang, Q., Schmadel, N., and Schmer, N.K., 2024, Legacy sediment as a potential source of orthophosphate: Preliminary conceptual and geochemical models for the Susquehanna River, Chesapeake Bay watershed, USA: Science of the Total Environment, v. 912, 169361, 10 p., https://doi.org/10.1016/j.scitotenv.2023.169361.","productDescription":"169361, 10 p.","ipdsId":"IP-154333","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science 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     ],\n            [\n              -76.871337890625,\n              36.83566824724438\n            ],\n            [\n              -76.849365234375,\n              36.677230602346214\n            ],\n            [\n              -76.7724609375,\n              36.527294814546245\n            ],\n            [\n              -76.629638671875,\n              36.55377524336089\n            ],\n            [\n              -76.46484375,\n              36.589068371399115\n            ],\n            [\n              -76.35498046875,\n              36.48314061639213\n            ],\n            [\n              -76.256103515625,\n              36.57142382346277\n            ],\n            [\n              -76.190185546875,\n              36.66841891894786\n            ],\n            [\n              -76.0693359375,\n              36.65079252503471\n            ],\n            [\n              -75.9375,\n              36.66841891894786\n            ],\n            [\n              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Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":258816,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tasker, Travis L.","contributorId":211456,"corporation":false,"usgs":false,"family":"Tasker","given":"Travis","email":"","middleInitial":"L.","affiliations":[{"id":38248,"text":"Civil and Environmental Engineering Department, The Pennsylvania State University,","active":true,"usgs":false}],"preferred":false,"id":890621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smyntek, Peter M.","contributorId":291642,"corporation":false,"usgs":false,"family":"Smyntek","given":"Peter","email":"","middleInitial":"M.","affiliations":[{"id":62738,"text":"Saint Vincent College","active":true,"usgs":false}],"preferred":false,"id":890622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blomquist, Joel D. 0000-0002-0140-6534","orcid":"https://orcid.org/0000-0002-0140-6534","contributorId":215461,"corporation":false,"usgs":true,"family":"Blomquist","given":"Joel","middleInitial":"D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890623,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clune, John W. 0000-0002-3563-1975","orcid":"https://orcid.org/0000-0002-3563-1975","contributorId":209635,"corporation":false,"usgs":true,"family":"Clune","given":"John","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890624,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Qian","contributorId":331417,"corporation":false,"usgs":false,"family":"Zhang","given":"Qian","affiliations":[{"id":79204,"text":"UMCES","active":true,"usgs":false}],"preferred":false,"id":890625,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmadel, Noah 0000-0002-2046-1694","orcid":"https://orcid.org/0000-0002-2046-1694","contributorId":219105,"corporation":false,"usgs":true,"family":"Schmadel","given":"Noah","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":890626,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schmer, Natalie Katrina 0000-0002-4107-5012","orcid":"https://orcid.org/0000-0002-4107-5012","contributorId":297095,"corporation":false,"usgs":true,"family":"Schmer","given":"Natalie","email":"","middleInitial":"Katrina","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890627,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70250612,"text":"70250612 - 2024 - The 2022 Chaos Canyon landslide in Colorado: Insights revealed by seismic analysis, field investigations, and remote sensing","interactions":[],"lastModifiedDate":"2024-01-25T14:51:22.947677","indexId":"70250612","displayToPublicDate":"2023-12-19T06:59:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2604,"text":"Landslides","active":true,"publicationSubtype":{"id":10}},"title":"The 2022 Chaos Canyon landslide in Colorado: Insights revealed by seismic analysis, field investigations, and remote sensing","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>An unusual, high-alpine, rapid debris slide originating in ice-rich debris occurred on June 28, 2022, at 16:33:16 MDT at the head of Chaos Canyon, a formerly glacier-covered valley in Rocky Mountain National Park, CO, USA. In this study, we integrate eyewitness videos and seismic records of the event with meteorological data, field observations, pre- and post-event satellite imagery, and uncrewed aircraft vehicle imagery to characterize the event and future hazards it may pose. Deformation of the eventual slide mass preceded rapid failure by decades, starting in the early to mid-2000s, accelerating in 2018 (the warmest year on record), and reaching ~ 20&nbsp;m/year in 2021. The main event, which was preceded by smaller sliding episodes earlier that day, had a volume of ~ 2.1 million m<sup>3</sup>, reached peak velocities of about 5&nbsp;m/s, slid on a surface up to 80&nbsp;m deep, and moved up to ~ 245&nbsp;m downslope in &lt; 2&nbsp;min. We observed blocks of frozen debris (permafrost) in the landslide deposits. Within ~ 2&nbsp;weeks, these blocks had melted and became dry, conical debris mounds (molards). We hypothesize that the rapid slide was induced by gradually increasing long-term air temperatures that thawed ice and increased pore pressures. The presence and suspected influence of permafrost on the occurrence of this landslide indicate other slopes in the park, and other moderate-to-low latitude alpine regions may experience similar slope stability issues as temperatures continue to warm.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s10346-023-02179-4","usgsCitation":"Allstadt, K.E., Coe, J.A., Collins, E., Rengers, F.K., Mangeney, A., Esser, S.M., Pursley, J., Yeck, W.L., Bellini, J., and Brady, L.R., 2024, The 2022 Chaos Canyon landslide in Colorado: Insights revealed by seismic analysis, field investigations, and remote sensing: Landslides, v. 21, p. 309-325, https://doi.org/10.1007/s10346-023-02179-4.","productDescription":"17 p.","startPage":"309","endPage":"325","ipdsId":"IP-153830","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":440899,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10346-023-02179-4","text":"Publisher Index Page"},{"id":435074,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZQQY3G","text":"USGS data release","linkHelpText":"UAV imagery and digital elevation data for the debris slide in Chaos Canyon, 28 June 2022, Rocky Mountain National Park, Colorado."},{"id":423791,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Chaos Canyon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.75581277449557,\n              40.38711671980613\n            ],\n            [\n              -105.75581277449557,\n              40.23844776805342\n            ],\n            [\n              -105.50757819873121,\n              40.23844776805342\n            ],\n            [\n              -105.50757819873121,\n              40.38711671980613\n            ],\n            [\n              -105.75581277449557,\n              40.38711671980613\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"21","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Allstadt, Kate E. 0000-0003-4977-5248","orcid":"https://orcid.org/0000-0003-4977-5248","contributorId":138704,"corporation":false,"usgs":true,"family":"Allstadt","given":"Kate","email":"","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":890561,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coe, Jeffrey A. 0000-0002-0842-9608 jcoe@usgs.gov","orcid":"https://orcid.org/0000-0002-0842-9608","contributorId":1333,"corporation":false,"usgs":true,"family":"Coe","given":"Jeffrey","email":"jcoe@usgs.gov","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":890562,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Elaine A. 0000-0002-5475-4022","orcid":"https://orcid.org/0000-0002-5475-4022","contributorId":270255,"corporation":false,"usgs":true,"family":"Collins","given":"Elaine","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":890563,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rengers, Francis K. 0000-0002-1825-0943 frengers@usgs.gov","orcid":"https://orcid.org/0000-0002-1825-0943","contributorId":150422,"corporation":false,"usgs":true,"family":"Rengers","given":"Francis","email":"frengers@usgs.gov","middleInitial":"K.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":890564,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mangeney, Anne 0000-0002-3197-6087","orcid":"https://orcid.org/0000-0002-3197-6087","contributorId":332587,"corporation":false,"usgs":false,"family":"Mangeney","given":"Anne","email":"","affiliations":[{"id":79502,"text":"Université Paris Cité, Institut de Physique du Globe de Paris, CNRS, F-75005 Paris, France and Institut Universitaire de France","active":true,"usgs":false}],"preferred":false,"id":890565,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Esser, Scott M. 0000-0002-9401-9401","orcid":"https://orcid.org/0000-0002-9401-9401","contributorId":332588,"corporation":false,"usgs":false,"family":"Esser","given":"Scott","email":"","middleInitial":"M.","affiliations":[{"id":79503,"text":"Rocky Mountain National Park, National Park Service, Estes Park, CO, USA","active":true,"usgs":false}],"preferred":false,"id":890566,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pursley, Jana 0000-0002-7472-9668","orcid":"https://orcid.org/0000-0002-7472-9668","contributorId":269689,"corporation":false,"usgs":true,"family":"Pursley","given":"Jana","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":890567,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":890568,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bellini, John 0000-0002-9635-8730","orcid":"https://orcid.org/0000-0002-9635-8730","contributorId":269687,"corporation":false,"usgs":true,"family":"Bellini","given":"John","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":890569,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brady, Lance R. 0000-0003-1841-5602","orcid":"https://orcid.org/0000-0003-1841-5602","contributorId":329681,"corporation":false,"usgs":true,"family":"Brady","given":"Lance","email":"","middleInitial":"R.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":890570,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70250599,"text":"70250599 - 2024 - Exploring the uncertainty of machine learning models and geostatistical mapping of rare earth element potential in Indiana coals, USA","interactions":[],"lastModifiedDate":"2023-12-19T12:37:50.278204","indexId":"70250599","displayToPublicDate":"2023-12-18T06:36:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Exploring the uncertainty of machine learning models and geostatistical mapping of rare earth element potential in Indiana coals, USA","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0090\"><span>Rare earth elements&nbsp;and&nbsp;</span>yttrium<span>&nbsp;(REEs) have a wide range of applications in high- and low-carbon&nbsp;technologies. The strategic significance of REEs has grown due to their expanding applications in manufacturing industries and the constrained availability of these essential resources. This research explores the applicability of machine learning models and their uncertainty for assessing the REE potential in coal beds using various coal parameters as inputs. The work focuses on developing a predictive model based on geological variables, excluding considerations related to potential shifts in the commodities market. The Indiana Coal Quality Database was used as the data source. The promising and unpromising indicators derived from the outlook coefficient of samples from the database were used as the REE potential indicator for machine learning classification models. The filter-based approach with bootstrap was used to evaluate the importance of the coal parameters and their prediction uncertainties. Four&nbsp;machine learning methods&nbsp;(linear&nbsp;discriminant analysis&nbsp;(LDA), random forest (RF),&nbsp;support vector machine&nbsp;(SVM), and&nbsp;artificial neural networks&nbsp;(ANN), a data balancing and augmentation approach (Synthetic Minority Over-sampling Technique), and bootstrap resampling techniques were used for building the models and evaluating their prediction capabilities under uncertainty. It was determined that the SVM bootstrap model with ten-times balanced and augmented data provided superior results compared with other models. Finally, stochastic spatial maps of the REE potential within the coal basin were generated using sequential indicator simulation. The spatial maps of the REE potential showed that a 29% area of the Indiana section of the Illinois coal basin has economic potential of REEs, with 90% confidence.</span></p></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2023.104419","usgsCitation":"Chatterjee, S., Karacan, C.O., and Mastalerz, M., 2024, Exploring the uncertainty of machine learning models and geostatistical mapping of rare earth element potential in Indiana coals, USA: International Journal of Coal Geology, v. 282, 104419, 14 p., https://doi.org/10.1016/j.coal.2023.104419.","productDescription":"104419, 14 p.","ipdsId":"IP-150194","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":423741,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"282","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chatterjee, Snehamoy","contributorId":332577,"corporation":false,"usgs":false,"family":"Chatterjee","given":"Snehamoy","email":"","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":890515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":890516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mastalerz, Maria","contributorId":330812,"corporation":false,"usgs":false,"family":"Mastalerz","given":"Maria","affiliations":[{"id":79026,"text":"Indiana University, Indiana Geological and Water Survey, 1001 E. 10th St., Bloomington, IN 47405, United States","active":true,"usgs":false}],"preferred":false,"id":890517,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70251815,"text":"70251815 - 2024 - Numbers of wildlife fatalities at renewable energy facilities in a targeted development region","interactions":[],"lastModifiedDate":"2024-02-29T15:01:41.057961","indexId":"70251815","displayToPublicDate":"2023-12-15T08:30:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Numbers of wildlife fatalities at renewable energy facilities in a targeted development region","docAbstract":"<p><span>Increased interest in renewable energy has fostered development of wind and solar energy facilities globally. However, energy development sometimes has negative environmental impacts, such as wildlife fatalities. Efforts by regional land managers to balance energy potential while minimizing fatality risk currently rely on datasets that are aggregated at continental, but not regional scales, that focus on single species, or that implement meta-analyses that inappropriately use inferential statistics. We compiled and summarized fatality data from 87 reports for solar and wind facilities in the Mojave and Sonoran Deserts region of southern California within the Desert Renewable Energy Conservation Plan area. Our goal was to evaluate potential temporal and guild-specific patterns in fatalities, especially for priority species of conservation concern. We also aimed to provide a perspective on approaches interpreting these types of data, given inherent limitations in how they were collected. Mourning doves (</span><i>Zenaida macroura</i><span>), Chukar (</span><i>Alectoris chukar</i><span>) and California Quail (</span><i>Callipepla californica</i><span>), and passerines (</span><i>Passeriformes</i><span>), accounted for the most commonly reported fatalities. However, our aggregated count data were derived from raw, uncorrected totals, and thus reflect an absolute minimum number of fatalities for the monitored period. Additionally, patterns in the raw data suggested that many species commonly documented as fatalities (e.g., waterbirds and other nocturnal migrants, bats) are rarely counted during typical pre-construction use surveys. This may explain the more commonly observed mismatch between pre-construction risk assessment and actual fatalities. Our work may serve to guide design of future scientific research to address temporal and spatial patterns in fatalities and to apply rigorous guild-specific survey methodologies to estimate populations at risk from renewable energy development.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0295552","usgsCitation":"Conkling, T., Fesnock, A.L., and Katzner, T., 2024, Numbers of wildlife fatalities at renewable energy facilities in a targeted development region: PLoS ONE, v. 18, no. 12, e0295552, 15 p., https://doi.org/10.1371/journal.pone.0295552.","productDescription":"e0295552, 15 p.","ipdsId":"IP-142188","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":440915,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0295552","text":"Publisher Index Page"},{"id":426127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.41388196440452,\n              32.63301172668308\n            ],\n            [\n              -114.71231156077859,\n              32.71521061573718\n            ],\n            [\n              -114.41844327520268,\n              34.121883375452825\n            ],\n            [\n              -115.258371375603,\n              35.51347324917859\n            ],\n            [\n              -116.44620706269673,\n              36.348306541123236\n            ],\n            [\n              -120.9361068529251,\n              35.49816148699837\n            ],\n            [\n              -117.83770190615772,\n              34.11965094145391\n            ],\n            [\n              -116.41388196440452,\n              32.63301172668308\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"18","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Conkling, Tara 0000-0003-1926-8106","orcid":"https://orcid.org/0000-0003-1926-8106","contributorId":217915,"corporation":false,"usgs":true,"family":"Conkling","given":"Tara","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":895658,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fesnock, Amy L.","contributorId":334447,"corporation":false,"usgs":false,"family":"Fesnock","given":"Amy","email":"","middleInitial":"L.","affiliations":[{"id":80149,"text":"Desert District Office, U.S. Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":895659,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191353,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd E.","email":"tkatzner@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":895660,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70250538,"text":"70250538 - 2024 - A new method for bioassessment of ecosystems with complex communities and environmental gradients","interactions":[],"lastModifiedDate":"2023-12-15T13:15:44.445057","indexId":"70250538","displayToPublicDate":"2023-12-14T07:13:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"A new method for bioassessment of ecosystems with complex communities and environmental gradients","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab010\" class=\"abstract author\"><div id=\"as010\"><p id=\"sp0010\">Bioassessment of complex and heterogeneous ecosystems is a challenge when there are multiple, strong, natural environmental gradients; unknown, or spatially varying, mixtures of stressors; and large numbers of taxa with unknown responses to both the environmental gradients and the stressors. Current methods of bioassessment are not designed for use under this set of constraints. To address this gap, we have developed an assessment method appropriate for well-sampled, heterogeneous systems with many taxa. In the bioassessment described below, we model taxa occurrence as a function of natural environmental gradients, then use residual covariance patterns between all pairs of taxa to estimate the impact of human disturbance across sites as a latent construct. The derivation of the method from an underlying causal model allows the metric value at each site and the associated taxa responses to be partitioned into contributions from a set of putative stressors. We apply this method as a case study to the subtidal benthic invertebrate community of Puget Sound, WA (USA) and demonstrate a partial decomposition of the metric values to a set of stressors including sediment organic carbon, nitrogen, metals, and organic pollutants. While this method provides new opportunities to estimate, communicate, and understand the ecological condition of complex, heterogeneous ecosystems, due to the requirement for broad, detailed data to inform its estimates, it will likely be most appropriate for monitoring programs.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2023.111413","usgsCitation":"Schoolmaster, D., and Partridge, V.A., 2024, A new method for bioassessment of ecosystems with complex communities and environmental gradients: Ecological Indicators, v. 158, 111413, 12 p., https://doi.org/10.1016/j.ecolind.2023.111413.","productDescription":"111413, 12 p.","ipdsId":"IP-155763","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":440917,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2023.111413","text":"Publisher Index Page"},{"id":423621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Puget Sound ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.36769749477122,\n              49.85856818959823\n            ],\n            [\n              -125.36769749477122,\n              46.716559837918595\n            ],\n            [\n              -121.54445530727129,\n              46.716559837918595\n            ],\n            [\n              -121.54445530727129,\n              49.85856818959823\n            ],\n            [\n              -125.36769749477122,\n              49.85856818959823\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"158","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schoolmaster, Donald 0000-0003-0910-4458","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":202356,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":890323,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Partridge, Valerie A.","contributorId":332513,"corporation":false,"usgs":false,"family":"Partridge","given":"Valerie","email":"","middleInitial":"A.","affiliations":[{"id":79483,"text":"State of Washington Department of Ecology","active":true,"usgs":false}],"preferred":false,"id":890324,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70250646,"text":"70250646 - 2024 - PCB concentrations in riparian spiders (Tetragnathidae) consistently reflect concentrations in water and aquatic macroinvertebrates, but not sediment: Analysis of a seven-year field study","interactions":[],"lastModifiedDate":"2023-12-22T13:11:32.000134","indexId":"70250646","displayToPublicDate":"2023-12-14T07:09:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"PCB concentrations in riparian spiders (Tetragnathidae) consistently reflect concentrations in water and aquatic macroinvertebrates, but not sediment: Analysis of a seven-year field study","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0020\"><span>Tetragnathid spiders have been used as sentinels to study the biotransport of contaminants between aquatic and terrestrial environments because a significant proportion of their diet consists of adult aquatic insects. A key knowledge gap in assessing tetragnathid spiders as sentinels is understanding the consistency of the year-to-year relationship between contaminant concentrations in spiders and sediment, water, and&nbsp;macroinvertebrates. We collected five years of data over a seven-year investigation at a PCB contaminated-sediment site to investigate if concentrations in spiders were consistently correlated with concentrations in sediment, water, and aquatic macroinvertebrates. Despite significant year-to-year variability in spider PCB concentrations, they were not correlated with sediment concentrations (</span><i>p</i>&nbsp;=&nbsp;0.186). However, spider PCB concentrations were significantly, positively correlated with PCB concentrations in water (<i>p</i>&nbsp;&lt;&nbsp;0.0001, annual r<sup>2</sup>&nbsp;=&nbsp;0.35–0.84) and macroinvertebrates (p&nbsp;&lt;&nbsp;0.0001; annual r<sup>2</sup><span>&nbsp;=&nbsp;0.59–0.71).&nbsp;Analysis of covariance&nbsp;(ANCOVA) showed that spider PCB concentrations varied consistently with water (β&nbsp;=&nbsp;0.63) and macroinvertebrate PCB concentrations (β&nbsp;=&nbsp;1.023) among years. Overall, this study filled a critical knowledge gap in the utilization of tetragnathid spiders as sentinels of aquatic pollution by showing that despite year-to-year changes in PCB concentrations across environmental compartments, consistent relationships existed between spiders and water and aquatic macroinvertebrates.</span></p></div></div><div id=\"ab0010\" class=\"abstract graphical\" lang=\"en\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.169230","usgsCitation":"Otter, R.R., Mills, M.A., Fritz, K.M., Lazorchak, J., White, D.P., Beaubien, G.B., and Walters, D., 2024, PCB concentrations in riparian spiders (Tetragnathidae) consistently reflect concentrations in water and aquatic macroinvertebrates, but not sediment: Analysis of a seven-year field study: Science of the Total Environment, v. 912, 169230, 7 p., https://doi.org/10.1016/j.scitotenv.2023.169230.","productDescription":"169230, 7 p.","ipdsId":"IP-148814","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":435076,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XDAKOF","text":"USGS data release","linkHelpText":"Total PCB concentrations in sediment, water, macroinvertebrates and spiders and the lower Ottawa River (Toledo, OH) between 2009-2015"},{"id":423863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"912","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Otter, Ryan R.","contributorId":205916,"corporation":false,"usgs":false,"family":"Otter","given":"Ryan","email":"","middleInitial":"R.","affiliations":[{"id":37193,"text":"Middle Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":890700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mills, Marc A.","contributorId":141085,"corporation":false,"usgs":false,"family":"Mills","given":"Marc","email":"","middleInitial":"A.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":890701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fritz, Ken M. 0000-0002-3831-2531","orcid":"https://orcid.org/0000-0002-3831-2531","contributorId":203959,"corporation":false,"usgs":false,"family":"Fritz","given":"Ken","email":"","middleInitial":"M.","affiliations":[{"id":36773,"text":"USEPA NERL","active":true,"usgs":false}],"preferred":false,"id":890702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lazorchak, James M.","contributorId":257470,"corporation":false,"usgs":false,"family":"Lazorchak","given":"James M.","affiliations":[{"id":52029,"text":"U.S. EPA Office of Research and Development, Cincinnati, Ohio","active":true,"usgs":false}],"preferred":false,"id":890703,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"White, Dalon P.","contributorId":301960,"corporation":false,"usgs":false,"family":"White","given":"Dalon","email":"","middleInitial":"P.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":890704,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Beaubien, Gale B.","contributorId":244596,"corporation":false,"usgs":false,"family":"Beaubien","given":"Gale","email":"","middleInitial":"B.","affiliations":[{"id":37193,"text":"Middle Tennessee State University","active":true,"usgs":false}],"preferred":false,"id":890705,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Walters, David 0000-0002-4237-2158","orcid":"https://orcid.org/0000-0002-4237-2158","contributorId":205915,"corporation":false,"usgs":true,"family":"Walters","given":"David","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":890706,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251218,"text":"70251218 - 2024 - Neogene faulting, basin development, and relief generation in the southern Klamath Mountains (USA)","interactions":[],"lastModifiedDate":"2024-01-30T12:59:04.784033","indexId":"70251218","displayToPublicDate":"2023-12-13T06:56:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Neogene faulting, basin development, and relief generation in the southern Klamath Mountains (USA)","docAbstract":"<p>Development and evaluation of models for tectonic evolution in the Cascadia forearc require understanding of along-strike heterogeneity of strain distribution, uplift, and upper-plate characteristics. Here, we investigated the Neogene geologic record of the Klamath Mountains province in southernmost Cascadia and obtained apatite (U-Th)/He (AHe) thermochronology of Mesozoic plutons, Neogene graben sediment thickness, detrital zircon records from Neogene grabens, gravity and magnetic data, and kinematic analysis of faults. We documented three aspects of Neogene tectonics: early Miocene and younger rock exhumation, development of topographic relief sufficient to isolate Neogene graben-filling sediments from sources outside of the Klamath Mountains, and initiation of mid-Miocene or younger right-lateral and reverse faulting. Key findings are: (1) 10 new apatite AHe mean cooling ages from the Canyon Creek and Granite Peak plutons in the Trinity Alps range from 24.7 ± 2.1 Ma to 15.7 ± 2.1 Ma. Inverse thermal modeling of these data and published apatite fission-track ages indicate the most rapid rock cooling between ca. 25 and 15 Ma. One new AHe mean cooling age (26.7 ± 3.2 Ma) from the Ironside Mountain batholith 40 km west of the Trinity Alps, combined with previously published AHe ages, suggests geographically widespread latest Oligocene to Miocene cooling in the southern Klamath Mountains province. (2) AHe ages of 39.4 ± 5.1 Ma on the downthrown side and 22.7 ± 3.0 Ma on the upthrown side of the Browns Meadow fault suggest early Miocene to younger fault activity. (3) U-Pb detrital zircon ages (<i>n</i><span>&nbsp;</span>= 862) and Lu-Hf isotope geochemistry from Miocene Weaverville Formation sediments in the Weaverville, Lowden Ranch, Hayfork, and Hyampom grabens south and southwest of the Trinity Alps can be traced to entirely Klamath Mountains sources; they suggest the south-central Klamath Mountains had, by the middle Miocene, sufficient relief to isolate these grabens from more distal sediment sources. (4) Two Miocene detrital zircon U-Pb ages of 10.6 ± 0.4 Ma and 16.7 ± 0.2 Ma from the Lowden Ranch graben show that the maximum depositional age of the upper Weaverville Formation here is younger than previously recognized. (5) A prominent steep-sided negative gravity anomaly associated with the Hayfork graben shows that both the north and south margins are fault-controlled, and inversion of gravity data suggests basin fill is between 1 km and 1.9 km thick. Abrupt elevation changes of basin fill-to-bedrock contacts reported in well logs record E-side-up and right-lateral faulting at the eastern end of the Hayfork graben. A NE-striking gravity gradient separates the main graben on the west from a narrower, thinner basin to the east, supporting this interpretation. (6) Of fset of both the base of the Weaverville Formation and the cataclasite-capped La Grange fault surface by a fault on the southwest margin of the Weaverville basin documents 200 m of reverse and 1500 m of right-lateral strike-slip motion on this structure, here named the Democrat Gulch fault; folded and steeply dipping strata adjacent to the fault confirm that faulting postdated deposition of the Weaverville Formation.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02612.1","usgsCitation":"Michalak, M.J., Cashman, S.M., Langenheim, V., Team, T.C., and Christensen, D.J., 2024, Neogene faulting, basin development, and relief generation in the southern Klamath Mountains (USA): Geosphere, v. 20, no. 1, p. 237-266, https://doi.org/10.1130/GES02612.1.","productDescription":"30 p.","startPage":"237","endPage":"266","ipdsId":"IP-144540","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":440927,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02612.1","text":"Publisher Index Page"},{"id":425101,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Southern Klamath Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.98917316134096,\n              44.02774490532599\n            ],\n            [\n              -125.98917316134096,\n              38.79194801722443\n            ],\n            [\n              -120.47403644259101,\n              38.79194801722443\n            ],\n            [\n              -120.47403644259101,\n              44.02774490532599\n            ],\n            [\n              -125.98917316134096,\n              44.02774490532599\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Michalak, Melanie J.","contributorId":317978,"corporation":false,"usgs":false,"family":"Michalak","given":"Melanie","email":"","middleInitial":"J.","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":893555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cashman, Susan M.","contributorId":333685,"corporation":false,"usgs":false,"family":"Cashman","given":"Susan","email":"","middleInitial":"M.","affiliations":[{"id":63943,"text":"Cal Poly Humboldt","active":true,"usgs":false}],"preferred":false,"id":893556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langenheim, Victoria 0000-0003-2170-5213","orcid":"https://orcid.org/0000-0003-2170-5213","contributorId":217113,"corporation":false,"usgs":true,"family":"Langenheim","given":"Victoria","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":893557,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Team, Taylor C.","contributorId":333686,"corporation":false,"usgs":false,"family":"Team","given":"Taylor","email":"","middleInitial":"C.","affiliations":[{"id":63943,"text":"Cal Poly Humboldt","active":true,"usgs":false}],"preferred":false,"id":893558,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Christensen, Dana J.","contributorId":333687,"corporation":false,"usgs":false,"family":"Christensen","given":"Dana","email":"","middleInitial":"J.","affiliations":[{"id":63943,"text":"Cal Poly Humboldt","active":true,"usgs":false}],"preferred":false,"id":893559,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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