{"pageNumber":"61","pageRowStart":"1500","pageSize":"25","recordCount":41028,"records":[{"id":70263445,"text":"70263445 - 2024 - Reconciling bias in moderate magnitude earthquake ground motions predicted by numerical simulations","interactions":[],"lastModifiedDate":"2025-02-12T16:58:25.540276","indexId":"70263445","displayToPublicDate":"2024-12-01T10:56:43","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Reconciling bias in moderate magnitude earthquake ground motions predicted by numerical simulations","docAbstract":"<p><span>Recent studies found a significant underprediction in ground motion intensity measures for finite-fault simulations of moderate magnitude events in southern California relative to established ground motion models. This study aims to understand the source(s) of this bias by evaluating ground motion residuals. For this, simulations have been performed for a total of 27 well-recorded earthquakes in southern California. Systematic efforts have been employed to identify the source(s) of bias by ruling out factors that are insignificant. Preliminary findings indicate that the magnitude-area scaling used in the simulations is the likely major cause of the observed bias. Adjustment in the source attributes on event-by-event basis is underway to study if the observed bias can be reconciled.</span></p>","conferenceTitle":"Geo-Congress 2024","conferenceDate":"February 25–28, 2024","conferenceLocation":"Vancouver, British Columbia, Canada","language":"English","publisher":"ASCE","doi":"10.1061/9780784485316.044","usgsCitation":"Sajan, K., Nweke, C., Stewart, J., and Graves, R., 2024, Reconciling bias in moderate magnitude earthquake ground motions predicted by numerical simulations, Geo-Congress 2024, Vancouver, British Columbia, Canada, February 25–28, 2024, p. 420-429, https://doi.org/10.1061/9780784485316.044.","productDescription":"10","startPage":"420","endPage":"429","ipdsId":"IP-153747","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481984,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-02-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Sajan, K. C.","contributorId":350799,"corporation":false,"usgs":false,"family":"Sajan","given":"K. C.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":927017,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nweke, Chukwuebuka C.","contributorId":350800,"corporation":false,"usgs":false,"family":"Nweke","given":"Chukwuebuka C.","affiliations":[{"id":13249,"text":"University of Southern California","active":true,"usgs":false}],"preferred":false,"id":927018,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Jonathon P.","contributorId":350802,"corporation":false,"usgs":false,"family":"Stewart","given":"Jonathon P.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":927019,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graves, Robert 0000-0001-9758-453X rwgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-9758-453X","contributorId":140738,"corporation":false,"usgs":true,"family":"Graves","given":"Robert","email":"rwgraves@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927020,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70260669,"text":"70260669 - 2024 - The advantages of electric-grade heat storage in long closed-loop wells","interactions":[],"lastModifiedDate":"2026-04-22T16:04:53.106152","indexId":"70260669","displayToPublicDate":"2024-12-01T10:37:55","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"The advantages of electric-grade heat storage in long closed-loop wells","docAbstract":"<p>Though long (e.g., tens of kilometers) closed-loop geothermal wells are under consideration for the extraction of subsurface heat, these wells might also serve as an efficient energy storage mechanism for electricity generation. Using a semi-analytic model solution, the potential for electric-grade heat storage as a function of ambient temperature (e.g., corresponds to depth of loop), well length, well diameter, and flow rate is evaluated. The following simplified cases for comparison of standard closed loop operation with energy storage operation were considered: [1] constant flow rate and constant temperature (90 °C) injection to represent the standard closed-loop base-case; and [2] constant flow rate and annual cycle sinusoidal temperature (90-150 °C) to represent seasonal (summer) charging while solar resources are peak. Initial temperatures for all scenarios considered herein are a uniform 175 °C. Electric-grade heat is assumed to be delivered whenever temperatures at the extraction point exceed 90 °C. For calculation purposes only, if temperature falls below 100 °C, it is assumed that heat delivered is sub-economic, so no electricity would be produced. For all scenarios, temperatures at the extraction well asymptotically approach the flow-weighted average injection temperature, but energy storage scenarios exhibited a damped time-varying signal that diminishes in magnitude with length of the loop. The asymptotic approach depends on initial temperatures in the rock and the heat extraction rate (a function of well diameter and flowrate). This analysis demonstrates that shorter closed loops can produce more electricity over time than longer closed-loops previously proposed for electricity production over typical engineering design lifetimes (e.g., 30 years). Although only a high-temperature scenario is considered herein, rock that is initially below boiling temperature would not host a standard closed-loop resource, but injection of hot water seasonally would asymptotically heat this low-temperature system to temperatures capable of electricity production. In other words, regardless of initial temperatures, closed loops could be used to store electricity with no critical minerals in the geothermal battery.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geothermal Rising Conference Transactions","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Rising","usgsCitation":"Zhang, J., Burns, E.R., and Zhan, H., 2024, The advantages of electric-grade heat storage in long closed-loop wells, <i>in</i> Geothermal Rising Conference Transactions, v. 48, p. 156-168.","productDescription":"13 p.","startPage":"156","endPage":"168","ipdsId":"IP-165860","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":463776,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://library.geothermal.org/publications/view/9640efc1-8f62-430b-b1ce-5266be47d3a7"},{"id":503310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"48","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Junyuan 0009-0007-0763-4742","orcid":"https://orcid.org/0009-0007-0763-4742","contributorId":346117,"corporation":false,"usgs":false,"family":"Zhang","given":"Junyuan","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":918144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Erick R. 0000-0002-1747-0506 eburns@usgs.gov","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":192154,"corporation":false,"usgs":true,"family":"Burns","given":"Erick","email":"eburns@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":918145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhan, Hongbin 0000-0003-2060-4904","orcid":"https://orcid.org/0000-0003-2060-4904","contributorId":192156,"corporation":false,"usgs":false,"family":"Zhan","given":"Hongbin","email":"","affiliations":[],"preferred":false,"id":918146,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70260660,"text":"70260660 - 2024 - Predicting hydrothermal reservoir depth from chemical geothermometers using a three-dimensional temperature model in the Great Basin, USA","interactions":[],"lastModifiedDate":"2026-04-22T15:36:44.395817","indexId":"70260660","displayToPublicDate":"2024-12-01T10:35:48","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Predicting hydrothermal reservoir depth from chemical geothermometers using a three-dimensional temperature model in the Great Basin, USA","docAbstract":"<p>Recent work in the Great Basin region of the western United States has made it possible to predict the depth of hydrothermal reservoirs (i.e., the depth at which heat is accumulated prior to ascent via hydrothermal upflow) identified through geochemistry and to contextualize the spatial patterns of these reservoir depths. Chemical geothermometers use the chemical and mineral constituents of hydrothermal fluids to predict the temperature at which fluids equilibrated with the host rocks at depth. Assuming that most of the Great Basin is dominated by conductive conditions until a vertically connected hydrothermal flow path is created (e.g., by faulting), geothermometers reflect the chemical and thermal conditions at the depth interval that the fluid has conductively equilibrated over a long period before a vertical conduit allows convective upflow. By pairing geothermometer temperature estimates with our recent three-dimensional temperature model of conductive heat flow in the Great Basin, we estimate the corresponding reservoir depths and construct a map of circulation depths. </p><p>The predicted depths from geothermometers have spatial patterns across the Great Basin that relate to patterns seen in other geologic and geophysical data. Deeper springs generally occur disproportionately in areas with higher strain rates and in basins. We posit that current elevated strain rates reflect patterns of historic deformation where ongoing tectonic activity maintains permeable pathways to deeper reservoirs, some of which are estimated to exceed 6 km depth. Basins, as expected, contain a disproportionate number of these deep systems, because the underlying aquifers are closer to the surface in basins, thus requiring less water pressure to reach the surface than in mountain ranges. Most springs estimated to have their source in a deep reservoir occur at places known to host a hydrothermal system; these refined depth estimates of the source reservoir can help to better constrain the source depth for many known hydrothermal systems across the Great Basin.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geothermal Rising Conference transactions","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Rising","collaboration":"N/A","usgsCitation":"DeAngelo, J., Burns, E.R., and Mordensky, S.P., 2024, Predicting hydrothermal reservoir depth from chemical geothermometers using a three-dimensional temperature model in the Great Basin, USA, <i>in</i> Geothermal Rising Conference transactions, v. 48, p. 1129-1139.","productDescription":"11 p.","startPage":"1129","endPage":"1139","ipdsId":"IP-165867","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":463772,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://library.geothermal.org/publications/view/02f261ac-629c-437f-ad61-05e3b4fff276"},{"id":503305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Idaho, Nevada, Oregon, Utah","otherGeospatial":"Great Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -115.9209658,\n              35.196864\n            ],\n            [\n              -111.9740578,\n              37.1800632\n            ],\n            [\n              -110.7453034,\n              41.8034112\n            ],\n            [\n              -111.4527681,\n              43.1490129\n            ],\n            [\n              -113.6868669,\n              42.8494588\n            ],\n            [\n              -121.0966282,\n              43.0402531\n            ],\n            [\n              -120.7242784,\n              40.6835551\n            ],\n            [\n              -119.0859392,\n              38.0354823\n            ],\n            [\n              -117.6337749,\n              35.6217308\n            ],\n            [\n              -117.3358951,\n              34.8920194\n            ],\n            [\n              -115.9209658,\n              35.196864\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"DeAngelo, Jacob 0000-0002-7348-7839 jdeangelo@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-7839","contributorId":237879,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":918119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Erick R. 0000-0002-1747-0506 eburns@usgs.gov","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":192154,"corporation":false,"usgs":true,"family":"Burns","given":"Erick","email":"eburns@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":918120,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mordensky, Stanley Paul 0000-0001-8607-303X","orcid":"https://orcid.org/0000-0001-8607-303X","contributorId":292014,"corporation":false,"usgs":true,"family":"Mordensky","given":"Stanley","email":"","middleInitial":"Paul","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":918121,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70256389,"text":"70256389 - 2024 - Amphibian and reptile conservation in the United States of America","interactions":[],"lastModifiedDate":"2025-03-19T15:21:43.504155","indexId":"70256389","displayToPublicDate":"2024-12-01T10:18:21","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Amphibian and reptile conservation in the United States of America","docAbstract":"<p>Wildlife stewardship is of utmost importance in the United States, where management for sustainable natural resources is extended to native species including amphibians and reptiles. The U.S. wildlife conservation framework is a nested system of authorities regulating species and habitats, science-based management and policy decisions, and adaptive management as new knowledge is applied to improve outcomes of population- and habitat-management actions. Yet the approach has evolved through time, from single-species management of game species to the conservation of entire ecosystems and the biodiversity they support. Today, the mismatch of conservation ideals with conservation capacity puts nongame species like amphibians and reptiles in the crosshairs for losses due to insufficient resources to address growing numbers of threats. Despite these challenges, optimism prevails, as the management and conservation of U.S. herpetofauna is an increasing priority of the public, with considerable investment into habitat restoration, species-specific threat mitigation, research, public outreach, and education. Herein, we outline key elements of U.S. herpetological conservation efficacy: (1) a web of legal authorities governing the management of U.S. herpetofauna and their habitats; (2) a network of people and organizations that work toward filling priority knowledge gaps by conducting scientific research and that are actively engaged in the science-management interface for species-to-ecosystem level conservation decision-making, and (3) a learning framework of adaptive management within the legal landscape (“lawscape”) and for improving effectiveness of conservation actions. Lastly, the human dimension of species conservation in the U.S. is emerging, where bottom-up local efforts are having success in addition to state- and regional-scale approaches. We propose U.S. herpetological conservation priorities under three themes: threats, research, and human dimensions (people). Together these multifaceted efforts are contributing to advances in the maintenance of U.S. amphibian and reptile diversity. The success of these efforts is notable and could be viewed as a model system, where lessons learned may apply elsewhere.</p>","language":"English","publisher":"Society for the Study of Amphibians and Reptiles","collaboration":"US Forest Service, Pacific Northwest Research Station","usgsCitation":"Olson, D., and Pilliod, D., 2024, Amphibian and reptile conservation in the United States of America, p. 145-163.","productDescription":"19 p.","startPage":"145","endPage":"163","ipdsId":"IP-101524","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":483529,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"Walls, Susan C. 0000-0001-7391-9155 swalls@usgs.gov","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":138952,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","email":"swalls@usgs.gov","middleInitial":"C.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":931281,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"O'Donnell, Katherine 0000-0001-9023-174X","orcid":"https://orcid.org/0000-0001-9023-174X","contributorId":216367,"corporation":false,"usgs":true,"family":"O'Donnell","given":"Katherine","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":931282,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Olson, Deanna H.","contributorId":338541,"corporation":false,"usgs":false,"family":"Olson","given":"Deanna H.","affiliations":[{"id":81141,"text":"US Department of Agriculture, Forest Service, Pacific Northwest Research Station, Corvallis, Oregon, USA","active":true,"usgs":false}],"preferred":false,"id":907215,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":907216,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70268692,"text":"70268692 - 2024 - Colorado Delta riparian plant health improvement","interactions":[],"lastModifiedDate":"2026-01-16T16:20:03.881479","indexId":"70268692","displayToPublicDate":"2024-12-01T10:17:41","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Colorado Delta riparian plant health improvement","docAbstract":"<p>The riparian corridor along Mexico’s arid Colorado River Delta is being affected by reduction in river flow and increases in heat, drought, human infrastructure, and disturbances. These disturbances can change riparian land cover by limiting water availability for riparian plant species, increasing fire intensity and frequency, and increasing soil and water salinities. In response to these forms of degradation, restoration efforts have begun to restore riparian habitats and native plant health, but vegetation greenness and corresponding plant water use continue to decline in unrestored reaches. Researchers from the U.S. Geological Survey (USGS) Southwest Biological Science Center are monitoring riparian plant health along the Colorado River Delta to support better ecohydrological decision-making. The researchers are helping a binational team to protect, restore, and maintain native vegetation within the 150-km long riparian corridor. Researchers are using<span>&nbsp;</span>Landsat 8 Operational Land Imager (OLI)<span>&nbsp;</span>data spanning 2014–2022 to measure greenness, a proxy for plant health, and actual evapotranspiration (ETa). Using an empirical model for ETa, evapotranspiration is estimated over each 16-day Landsat 8 OLI overpass&nbsp;period by considering the 8 days before and after the overpass date.&nbsp;</p><p>&nbsp;In their<span>&nbsp;</span>paper, researchers noted an increase in vegetation greenness within the restoration sites over nine years, with an average increase of 41.3%, which may be partially due to targeted water deliveries at the restoration sites. Conversely, greenness in adjacent, unrestored control areas declined by 27.3%. The study showed a 22.1% increase in ETa in restored areas, compared to a 30.8% reduction in unrestored regions. Restored sites in one restored area experienced ETa increases up to 12.2%, whereas their unrestored counterparts showed a decline of 21.4%. These estimates of riparian greenness and water use may assist natural resource managers who are tasked with allocating water and managing habitats within similar riparian corridors.</p>","language":"English","publisher":"Department of Interior","usgsCitation":"Nagler, P.L., 2024, Colorado Delta riparian plant health improvement, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-169348","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":491582,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://eros.usgs.gov/doi-remote-sensing-activities/2024/usgs/colorado-delta-riparian-plant-health-improvement"},{"id":498747,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.10014888935096,\n              34.16115185091701\n            ],\n            [\n              -116.10014888935096,\n              28.217554494522687\n            ],\n            [\n              -109.77287116074022,\n              28.217554494522687\n            ],\n            [\n              -109.77287116074022,\n              34.16115185091701\n            ],\n            [\n              -116.10014888935096,\n              34.16115185091701\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":941661,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70251213,"text":"70251213 - 2024 - A journey to the center of the USGS National Strong-motion Project processing and beyond","interactions":[],"lastModifiedDate":"2026-03-23T15:48:01.142815","indexId":"70251213","displayToPublicDate":"2024-12-01T10:14:12","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"A journey to the center of the USGS National Strong-motion Project processing and beyond","docAbstract":"The United States Geological Survey (USGS) National Strong Motion Project (NSMP) has the primary U.S. government responsibility to acquire, process, and disseminate significant strong-motion earthquake ground motion records measured at surficial free-field stations, structures (buildings, dams, and bridges, and geotechnical arrays to the earthquake engineering community. As a result of the deployment of modern seismic instrumentation and growth of tools such as web-services,  earthquake data from U.S. and international seismic networks are more accessible than ever.  Our mission is to provide raw and processed strong-motion waveforms with PGA values greater than 0.1%g for M3.0 earthquakes and larger in California and M4.0 and larger within the conterminous US, Hawaii, Puerto Rico, and Alaska. Datasets of interest to the engineering and geophysics communities, such as event sequences in areas of induced seismicity and significant global events, are also processed and posted at the Center for Engineering Strong Motion Data (CESMD) at strongmotioncenter.org when available through collaboration with the international strong-motion data community. Here we outline (1) the NSMP’s current workflow to acquire, process, and distribute data at CESMD; (2) our new endeavours and collaborations focusing on comparison and integration of waveform processing software, development of techniques for metadata quality checks before and after earthquakes, and construction of a dynamic site characterization repository; and (3) our topics for possible collaboration topics across the global strong-motion community.","conferenceTitle":"18th World Conference on Earthquake Engineering","conferenceDate":"June 30- July 5, 2024","conferenceLocation":"Milan, Italy","language":"English","publisher":"International Association for Earthquake Engineering","usgsCitation":"Schleicher, L.S., Steidl, J.H., Thompson, E.M., Yong, A.K., Brody, J., Blair, J., Hearne, M., Aagaard, B.T., Hough, S.E., Shao, H., Huddleston, G., Heilpern, K., Marano, K., Ferragut, G., Worden, B., Wald, D.J., De Cristofaro, J., McClain, A.R., Dunham, B., Nget, D., Aragon, J., Gomez, J., Amador, V., Carrasco Rodriquez, V., Luna, E.E., Cembalski, D., Childs, D., Smith, J., Croker, D., and Gee, L., 2024, A journey to the center of the USGS National Strong-motion Project processing and beyond, 18th World Conference on Earthquake Engineering, Milan, Italy, June 30- July 5, 2024, 12 p.","productDescription":"12 p.","ipdsId":"IP-161746","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":501394,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501393,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://proceedings-wcee.org/view.html?id=25558&conference=18WCEE"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schleicher, Lisa Sue 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,{"id":70264770,"text":"70264770 - 2024 - Models no not provide proof: An example of model ambiguity and application of isotopic data in a mine pit lake","interactions":[],"lastModifiedDate":"2026-02-11T16:11:52.104027","indexId":"70264770","displayToPublicDate":"2024-12-01T10:02:17","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Models no not provide proof: An example of model ambiguity and application of isotopic data in a mine pit lake","docAbstract":"<p>Geochemical and hydrologic models of pit lakes are commonly used in environmental regulatory decisions to predict future water quality and hydrologic conditions and to understand existing pit lakes. Models may be used to quantify sulfide oxidation, predict thermal/chemical stratification and mixing, and better understand connections between pit lakes and aquifers. One concern related to the hydrologic character of pit lakes is if they are terminal (a groundwater sink with no outflow) or flowthrough (both receiving groundwater inflow and discharging to groundwater). This question was pertinent to the Liberty pit lake, a small acidic pit lake formed in a former Cu deposit in south-central Nevada where potentiometric and geochemical data potentially indicate pit-lake outflow. Potential discharge to groundwater from the pit lake was evaluated using a water-balance model, but uncertainty in hydraulic parameters led to ambiguity in the hydrologic character. Stable isotopes of water were then sampled from the pit lake and adjacent groundwater wells, which unambiguously indicated the lack of an evaporative signature in downgradient groundwater because the groundwater did not plot on a hypothetical mixing line between evaporated pit lake water and observed meteoric recharge. This methodology provided a more effective and more data-driven approach for understanding pit-lake hydrology. Although predictive models are required to quantify reasonable bounds on future conditions, many models contain substantial uncertainty and are not well suited in some environments. Datasets that provide more clear lines of evidence could be collected from existing pit lakes whenever possible to inform water-rock interaction, limnological behavior, and connectivity to adjacent groundwater.&nbsp;</p>","conferenceTitle":"International Conference on Acid Rock Drainage","conferenceDate":"September 16-20, 2024","conferenceLocation":"Halifax, Nova Scotia, Canada","language":"English","publisher":"Canadian Institute of Mining, Metallurgy and Petroleum","usgsCitation":"Newman, C.P., 2024, Models no not provide proof: An example of model ambiguity and application of isotopic data in a mine pit lake, International Conference on Acid Rock Drainage, Halifax, Nova Scotia, Canada, September 16-20, 2024, p. 1345-1356.","productDescription":"12 p.","startPage":"1345","endPage":"1356","ipdsId":"IP-164239","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":499757,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Liberty pit lake","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931595,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70260190,"text":"70260190 - 2024 - New approaches to wildlife health","interactions":[],"lastModifiedDate":"2025-03-12T14:57:25.842754","indexId":"70260190","displayToPublicDate":"2024-12-01T09:54:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5043,"text":"Scientific and Technical Review","active":true,"publicationSubtype":{"id":10}},"title":"New approaches to wildlife health","docAbstract":"<p>Recent environmental change and biodiversity loss have modified ecosystems, altering disease dynamics. For wildlife health, this trend has translated into increased potential for disease transmission and reduced capacity to overcome significant population-level impacts, which may place species at risk of extinction. Thus, current approaches to wildlife health focus not on the absence of disease but rather on the concept of health promotion. That is, wildlife populations will be more resilient to disease if they have the basic requirements for survival, as well as functioning ecosystems, within an enabling socio-economic environment. In this context, animal health programmes must adapt to design and implement wildlife health programmes that bridge knowledge gaps and fully integrate conservation goals. This article proposes new pathways and additions to the animal health management toolbox, including new approaches to surveillance and information management, partnerships and new wildlife health management practices. Solely because of risks to domesticated animals and human health, the traditional approach to disease surveillance in wild animals has now been replaced by a drive to recognise the intrinsic value of wildlife and the extended benefits of actively pursuing ecosystem health and associated life-sustaining ecosystem services. In this context, it is paramount to transition to holistic health programmes that embrace One Health as a pathway to set the health of all on equal footing.</p>","language":"English","publisher":"WOAH","doi":"10.20506/rst.SE.3569","usgsCitation":"Uhart, M., and Sleeman, J.M., 2024, New approaches to wildlife health: Scientific and Technical Review, v. Special Edition, p. 145-151, https://doi.org/10.20506/rst.SE.3569.","productDescription":"7 p.","startPage":"145","endPage":"151","ipdsId":"IP-160996","costCenters":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"links":[{"id":487952,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.20506/rst.se.3569","text":"Publisher Index Page"},{"id":483236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"Special Edition","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Uhart, Marcela","contributorId":292398,"corporation":false,"usgs":false,"family":"Uhart","given":"Marcela","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":917378,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":917379,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70270848,"text":"70270848 - 2024 - Climate vulnerability assessment of Oregon hatchery programs","interactions":[],"lastModifiedDate":"2025-08-28T14:57:36.722075","indexId":"70270848","displayToPublicDate":"2024-12-01T09:51:57","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Climate vulnerability assessment of Oregon hatchery programs","docAbstract":"<p>The goal of this project was to assess the vulnerability to climate change impacts for a sample set of hatchery programs representing different geographic areas and primary anadromous species raised in state-managed Oregon hatcheries (Summary Figure 1). Freshwater and marine ecosystem processes can significantly influence salmon and steelhead survival, and understanding how these factors have affected historical returns can help managers evaluate the climate vulnerability of hatchery stocks. We examined stock-specific trends in smolt-to-adult returns (SARs), which represent the proportion of smolts released from the hatchery that are recovered in fisheries or as returning adult spawners. SARs are among the most consistent long term estimators of survival for hatchery-origin stocks. Depending on the stock, adult recoveries could occur in marine fisheries, freshwater fisheries, returns to the hatchery or another collection facility, and spawning ground surveys. We collected time series data on relevant ecological indicators and used generalized additive models (GAMs) to explore both univariate and multivariate relationships with SARs for each hatchery stock. </p><p>An additional aspect of this assessment was to evaluate the climate vulnerability of resident trout stocking programs in the Department's East and West regions, incorporating insights from Oregon Department of Fish and Wildlife (ODFW) staff interviews and published data on the thermal tolerance of hatchery trout stocks. 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 \"}}]}","noUsgsAuthors":false,"publicationDate":"2024-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Barrett, Hannah","contributorId":332245,"corporation":false,"usgs":false,"family":"Barrett","given":"Hannah","email":"","affiliations":[{"id":79431,"text":"Oregon State University, Department of Fisheries, Wildlife, and Conservation Sciences","active":true,"usgs":false}],"preferred":false,"id":947579,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Davis, Melanie J. 0000-0003-1734-7177","orcid":"https://orcid.org/0000-0003-1734-7177","contributorId":202773,"corporation":false,"usgs":true,"family":"Davis","given":"Melanie","email":"","middleInitial":"J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":947212,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70264692,"text":"70264692 - 2024 - Separating signals in elevation data improves supervised machine learning predictions for hydrothermal favorability","interactions":[],"lastModifiedDate":"2025-03-19T14:39:10.244939","indexId":"70264692","displayToPublicDate":"2024-12-01T09:27:09","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Separating signals in elevation data improves supervised machine learning predictions for hydrothermal favorability","docAbstract":"A recent study identified topography (land surface elevation above sea level) as an important input dataset (feature) for predicting the location of hydrothermal systems in the Great Basin in Nevada. Yet, topography is generally a result of more than one geological process and may consequently contain multiple distinct signals. For example, the geologic evolution of the Great Basin has produced both crustal thickening (i.e., regional-scale trends in elevation) and thinning via Basin and Range extensional faulting (i.e., valley-scale topographic relief). We postulate that these geologic processes may affect the occurrence of hydrothermal systems differently. Therefore, we separate the regional trend from the valley-scale signal in the Great Basin, and then use them separately to evaluate the importance of each as predictors for hydrothermal favorability.\n\nOur prior work applying supervised machine learning (ML) using the data from the Nevada Machine Learning Project demonstrated that employing a training strategy that randomly selects negative training sites produces better performing models for predicting hydrothermal favorability than a training strategy that uses expert-selected negatives. The models created using both training strategies exhibited a west-east geographic trend in the predictions for the favorability of hydrothermal resources. These models generally predicted higher favorability in western Nevada and lower favorability in eastern Nevada. This west-east trend in predicted favorability correlates with elevation across the Great Basin, which trends higher from west to east.\n \nBy separating the original elevation feature into distinct features for elevation trend (i.e., regional-scale topography) and detrended elevation (i.e., valley-scale or local relative topography), we find that models using the separated topographic signals consistently outperform competing models that use the original elevation feature. Although western Nevada still exhibits higher favorability than eastern Nevada, using separated signals for regional elevation and local structure reduces the west-east prediction trend in the region and emphasizes structures associated with hydrothermal upflow. This work emphasizes how carefully engineering features to represent geological conditions relevant to hydrothermal systems allows ML algorithms to detect important patterns for predicting hydrothermal resource favorability and leads to better model performance.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using the Earth to save the Earth: Geothermal Resources Council transactions","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Rising","usgsCitation":"Caraccioli Salinas, P., Mordensky, S.P., DeAngelo, J., Burns, E., and Lipor, J., 2024, Separating signals in elevation data improves supervised machine learning predictions for hydrothermal favorability, <i>in</i> Using the Earth to save the Earth: Geothermal Resources Council transactions, v. 48, p. 2217-2236.","productDescription":"20 p.","startPage":"2217","endPage":"2236","ipdsId":"IP-165662","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":483520,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":483519,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1035032"}],"volume":"48","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Caraccioli Salinas, Pascal Domingo 0009-0003-6711-8257","orcid":"https://orcid.org/0009-0003-6711-8257","contributorId":352438,"corporation":false,"usgs":true,"family":"Caraccioli Salinas","given":"Pascal Domingo","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931276,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mordensky, Stanley Paul 0000-0001-8607-303X","orcid":"https://orcid.org/0000-0001-8607-303X","contributorId":292014,"corporation":false,"usgs":true,"family":"Mordensky","given":"Stanley","email":"","middleInitial":"Paul","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931277,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeAngelo, Jacob 0000-0002-7348-7839 jdeangelo@usgs.gov","orcid":"https://orcid.org/0000-0002-7348-7839","contributorId":237879,"corporation":false,"usgs":true,"family":"DeAngelo","given":"Jacob","email":"jdeangelo@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931278,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burns, Erick R. 0000-0002-1747-0506","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":225412,"corporation":false,"usgs":true,"family":"Burns","given":"Erick R.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":931279,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lipor, John 0000-0002-0990-5493","orcid":"https://orcid.org/0000-0002-0990-5493","contributorId":292015,"corporation":false,"usgs":false,"family":"Lipor","given":"John","email":"","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":931280,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261611,"text":"70261611 - 2024 - Electrofishing Sandusky River grass carp spawning grounds may disrupt spawning","interactions":[],"lastModifiedDate":"2025-03-26T19:02:40.702879","indexId":"70261611","displayToPublicDate":"2024-12-01T09:19:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Electrofishing Sandusky River grass carp spawning grounds may disrupt spawning","docAbstract":"<p>Invasive grass carp <i>Ctenopharyngodon idella</i> spawning was confirmed in Lake Erie with the collection of fertilized eggs in the Sandusky River, Ohio in 2015. Managers responded with initiation of adult grass carp removal in 2017. Hydrodynamic modeling revealed a potential spawning location in downtown Fremont, Ohio (41.3455; −83.1110), which was supported by the presence of sexually mature adults. Egg detection and adult removals appear to coincide with periods of elevated discharge and suitable water temperatures. Electrofishing is the primary method for removing adults during spawning, however, it is unknown if this has indirect effects such as disruption of grass carp spawning; thereby lowering egg presence in ichthyoplankton samples. We used a binomial generalized linear model to predict the probability of grass carp egg presence (≥ 1 egg) in a paired ichthyoplankton net based on the presence of electrofishing in the spawning grounds and net depth using 2017–2022 data. Further, we carried out a field experiment to isolate the effect of electrofishing by sampling eggs at two sites before and during electrofishing in the spawning grounds in 2022. Analysis of 2017–2022 egg and electrofishing data suggested that grass carp egg presence in a paired ichthyoplankton net was significantly higher without electrofishing and in nets towed at a depth of 1.5 m compared to surfacetowed nets. Data analysis from the field experiment revealed a significant negative relationship between electrofishing in the spawning grounds and grass carp egg collections downstream. Both analyses suggested lower egg capture rates associated with electrofishing in the spawning grounds, although other factors should be further quantified. Consequently, electrofishing may cause a short-term disruption in grass carp spawning in the Sandusky River and could reduce spawning during preferred conditions. </p>","language":"English","publisher":"REABIC","doi":"10.3391/mbi.2024.15.4.04","usgsCitation":"Brown, R.E., Mayer, C.M., Hilling, C.D., Qian, S.S., and Roberts, J., 2024, Electrofishing Sandusky River grass carp spawning grounds may disrupt spawning: Management of Biological Invasions, v. 15, no. 4, p. 519-534, https://doi.org/10.3391/mbi.2024.15.4.04.","productDescription":"16 p.","startPage":"519","endPage":"534","ipdsId":"IP-156587","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":465192,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466736,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2024.15.4.04","text":"Publisher Index Page"}],"country":"United States","state":"Ohio","otherGeospatial":"Sandusky River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.93447333670532,\n              41.49521244589849\n            ],\n            [\n              -83.28924808879796,\n              41.49521244589849\n            ],\n            [\n              -83.28924808879796,\n              41.12794688604012\n            ],\n            [\n              -82.93447333670532,\n              41.12794688604012\n            ],\n            [\n              -82.93447333670532,\n              41.49521244589849\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brown, Ryan E.","contributorId":332137,"corporation":false,"usgs":false,"family":"Brown","given":"Ryan","email":"","middleInitial":"E.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":921180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mayer, Christine M.","contributorId":203271,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":921181,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hilling, Corbin David 0000-0003-4040-9516","orcid":"https://orcid.org/0000-0003-4040-9516","contributorId":298946,"corporation":false,"usgs":true,"family":"Hilling","given":"Corbin","email":"","middleInitial":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":921182,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qian, Song S. 0000-0002-2346-4903","orcid":"https://orcid.org/0000-0002-2346-4903","contributorId":306033,"corporation":false,"usgs":false,"family":"Qian","given":"Song","email":"","middleInitial":"S.","affiliations":[{"id":62440,"text":"Department of Environmental Sciences, University of Toledo, Toledo, OH 43606","active":true,"usgs":false}],"preferred":false,"id":921183,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, James J. 0000-0002-4193-610X jroberts@usgs.gov","orcid":"https://orcid.org/0000-0002-4193-610X","contributorId":5453,"corporation":false,"usgs":true,"family":"Roberts","given":"James","email":"jroberts@usgs.gov","middleInitial":"J.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":921184,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70270077,"text":"70270077 - 2024 - Effective site coefficients for the 2024 International Building Code (IBC)","interactions":[],"lastModifiedDate":"2025-08-08T14:19:01.567803","indexId":"70270077","displayToPublicDate":"2024-12-01T09:17:00","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Effective site coefficients for the 2024 International Building Code (IBC)","docAbstract":"<p>The U.S. National Seismic Hazard Models (NSHMs), developed by the U.S. Geological Survey (USGS), have long been the scientific foundation of seismic design guidelines and have been used to compute design ground motions for construction of new buildings and retrofit of existing buildings in the United States and its territories. The 2018 NSHM is adopted by the 2024 International Building Code (IBC). Prior to the 2018 NSHM update, hazard calculations were required only at one reference site condition defined by V<sub>S30</sub>=760 m/s (where V<sub>S30</sub> is the time-averaged shear wave velocity from the surface to a depth of 30 m) and three periods (peak ground acceleration, PGA, and pseudo spectral accelerations at periods of 0.2 and 1 s, S<sub>s</sub> and S<sub>1</sub>). Site coefficients, F<sub>PGA</sub>, F<sub>a</sub>, and F<sub>v</sub>, were then defined by the Building Seismic Safety Council (BSSC) Provisions Update Committee (PUC) in the site-specific procedures of National Earthquake Hazard Reduction Program (NEHRP) Recommended Seismic Provisions to calculate ground motions for other site classes with different V<sub>S30</sub> values at the given periods. The design ground motions at other periods were then estimated using a generic spectral shape that was also defined by the BSSC PUC in NEHRP provisions. In recent years, the engineering community has realized there were deficiencies with the F<sub>a</sub> and F<sub>v</sub> site coefficients and the generic spectral shape. To avoid potentially dangerous underestimations of design ground motions for long period structures on soft site conditions in high seismicity regions, the BSSC PUC recommended the use of multi-period response spectra (MPRS) in 2017. As a result, the USGS produced multi-period and multi-V<sub>S30</sub> response spectral values in the 2018 NSHM for calculations of design ground motions and the site coefficients F<sub>a</sub> and F<sub>v</sub> were eliminated from the 2020 NEHRP Provisions. As these site coefficients were widely used inside and outside of the United States, in this study we back-calculate the “effective” site coefficients F<sub>a,eff</sub>, and F<sub>v,eff</sub> by comparing MPRS for various site classes with the MPRS for the reference site condition, and discuss the changes that are observed in the 2024 IBC compared to its previous version in 2021. The effective site coefficients are presented for test site locations and their dependence on various factors including period, ground motion intensity, and regional models are discussed. Ratio maps between the new effective site coefficients and the old ones are then presented for soft site classes and for short and long periods. For soft site classes at short periods, the new effective site coefficients are lower than the old site coefficients for high seismicity regions and higher for low seismicity regions. As it was expected, for soft site classes at long periods and high seismicity regions, the new effective site coefficients are much larger than the old site coefficients without imposing the 50% increase as a penalty that was suggested in the 2021 IBC, whereas they could be much smaller if the 50% increase would have been imposed particularly around New Madrid and Charleston high seismicity regions. For low seismicity regions, the long period effective site coefficients can be smaller or larger by 20% compared to the 2021 IBC coefficients.</p>","conferenceTitle":"18th World Conference on Earthquake Engineering (WCEE2024)","conferenceDate":"June 30- July 5, 2024","conferenceLocation":"Milan, Italy","language":"English","publisher":"International Association for Earthquake Engineering","usgsCitation":"Rezaeian, S., Luco, N., Makdisi, A.J., and Mason, H., 2024, Effective site coefficients for the 2024 International Building Code (IBC), 18th World Conference on Earthquake Engineering (WCEE2024), Milan, Italy, June 30- July 5, 2024, 12 p.","productDescription":"12 p.","ipdsId":"IP-161646","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":493832,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Rezaeian, Sanaz 0000-0001-7589-7893","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":238513,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Makdisi, Andrew James 0000-0002-8239-0692","orcid":"https://orcid.org/0000-0002-8239-0692","contributorId":267917,"corporation":false,"usgs":true,"family":"Makdisi","given":"Andrew","email":"","middleInitial":"James","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mason, Henry 0000-0003-4279-2854","orcid":"https://orcid.org/0000-0003-4279-2854","contributorId":293188,"corporation":false,"usgs":true,"family":"Mason","given":"Henry","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945320,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270081,"text":"70270081 - 2024 - Seismic response comparison of a historical masonry church subject to real and simulated ground motions","interactions":[],"lastModifiedDate":"2025-08-12T13:24:50.793931","indexId":"70270081","displayToPublicDate":"2024-12-01T08:49:05","publicationYear":"2024","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Seismic response comparison of a historical masonry church subject to real and simulated ground motions","docAbstract":"<p>In recent years, advanced numerical models and high-performance computing have facilitated the utilization of ground motion time series in the assessment of the non-linear dynamic behavior of historic masonry structures. Since recorded accelerograms can be sparse for specific analysis conditions, stochastic ground motion simulations have become a viable alternative to overcome this limitation. This study simulates the recorded acceleration time series of the Central Italy 2016 earthquake event at the closest station to the town of Macerata using a site-based stochastic approach. The simulated motions are seismologically evaluated using a goodness-of-fit method in terms of various intensity measures. The simulated records, in conjunction with real records, are used to study the non-linear dynamic behavior of San Filippo Neri church located in Macerata. The church of San Filippo represents an important example of Baroque religious architecture in central Italy, which was damaged and closed off to the public after the 2016 earthquake events. The construction was investigated with a vast diagnostic campaign which included on-site testing and dynamic identification tests. The collected data is used to calibrate the dynamic response of a three-dimensional finite element model of the church. The model is finally used to compare the non-linear seismic responses under real and simulated ground motions with the site recorded damage. The results of structural responses demonstrate a strong agreement between the real and simulated records, providing evidence to support the validation of the site-based stochastic simulation.</p>","conferenceTitle":"18th World Conference on Earthquake Engineering (WCEE2024)","conferenceDate":"June 30- July 5, 2024","conferenceLocation":"Milan, Italy","language":"English","publisher":"International Association for Earthquake Engineering","usgsCitation":"Hussaini, S.M., Sebastiani, C., Capasso, M., Sabbatini, V., Karimzadeh, S., Rezaeian, S., Santini, S., and Lourenço, P., 2024, Seismic response comparison of a historical masonry church subject to real and simulated ground motions, 18th World Conference on Earthquake Engineering (WCEE2024), Milan, Italy, June 30- July 5, 2024, 12 p.","productDescription":"12 p.","ipdsId":"IP-160466","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":493828,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://proceedings-wcee.org/view.html?id=25597&conference=18WCEE"},{"id":493829,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","city":"Macerata","otherGeospatial":"Church of San Filippo Neri","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              13.45182068861746,\n              43.29948229117889\n            ],\n            [\n              13.45182068861746,\n              43.299246626212096\n            ],\n            [\n              13.45237021629299,\n              43.299246626212096\n            ],\n            [\n              13.45237021629299,\n              43.29948229117889\n            ],\n            [\n              13.45182068861746,\n              43.29948229117889\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2024-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Hussaini, S. M. Sajad","contributorId":359428,"corporation":false,"usgs":false,"family":"Hussaini","given":"S.","middleInitial":"M. Sajad","affiliations":[{"id":85806,"text":"Department of Civil Engineering, Institute for Sustainability and Innovation in Structural Engineering, (ISISE), ARISE, University of Minho, Guimarães, Portugal","active":true,"usgs":false}],"preferred":false,"id":945333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sebastiani, Claudio","contributorId":359429,"corporation":false,"usgs":false,"family":"Sebastiani","given":"Claudio","affiliations":[{"id":85807,"text":"Department of Architecture, Roma Tre University, Rome, Italy","active":true,"usgs":false}],"preferred":false,"id":945334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Capasso, Monica","contributorId":359430,"corporation":false,"usgs":false,"family":"Capasso","given":"Monica","affiliations":[{"id":85807,"text":"Department of Architecture, Roma Tre University, Rome, Italy","active":true,"usgs":false}],"preferred":false,"id":945335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sabbatini, Valerio","contributorId":359431,"corporation":false,"usgs":false,"family":"Sabbatini","given":"Valerio","affiliations":[{"id":85807,"text":"Department of Architecture, Roma Tre University, Rome, Italy","active":true,"usgs":false}],"preferred":false,"id":945336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karimzadeh, Shaghayegh","contributorId":359419,"corporation":false,"usgs":false,"family":"Karimzadeh","given":"Shaghayegh","affiliations":[{"id":85799,"text":"University of Minho, Portugal","active":true,"usgs":false}],"preferred":false,"id":945337,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":238513,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":945338,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Santini, Silvia","contributorId":359432,"corporation":false,"usgs":false,"family":"Santini","given":"Silvia","affiliations":[{"id":85807,"text":"Department of Architecture, Roma Tre University, Rome, Italy","active":true,"usgs":false}],"preferred":false,"id":945339,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lourenço, Paulo B.","contributorId":359427,"corporation":false,"usgs":false,"family":"Lourenço","given":"Paulo B.","affiliations":[{"id":85803,"text":"Department of Civil Engineering, University of Minho, Institute for Sustainability and Innovation in Structural Engineering, ARISE, Guimarães, Portugal","active":true,"usgs":false}],"preferred":false,"id":945340,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70263950,"text":"70263950 - 2024 - Global survey of paleo-bedforms on Mars","interactions":[],"lastModifiedDate":"2025-03-03T14:55:07.675739","indexId":"70263950","displayToPublicDate":"2024-12-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Global survey of paleo-bedforms on Mars","docAbstract":"<p><span>Sedimentary processes on Mars have contributed to a plethora of landforms, both ancient and modern. Many of these are aeolian- or fluvial-formed constructs that meet the morphologic criteria for dunes and ripples but are clearly lithified and part of the rock record. This study conducted a survey of Mars using data returned from the High Resolution Imaging Science Experiment (HiRISE) to characterize the spatial distribution, origin, and geologic context of these preserved ancient bedforms, termed here as paleo-bedforms. The most compelling class include organized groups of 2–80-m-tall, crescentic to transverse features spaced at 100–1000&nbsp;m wavelengths at Apollinaris Sulci, Valles Marineris, and other low-latitude sites. These morphologies along with superposed craters, boulders, and fractures led to the interpretation that these are highly lithified, friable, and partially eroded ancient aeolian dunes. In addition to lithified dunes, other remnants of ancient bedforms include examples in which the dune was completely removed, leaving a shallow depression in a crescentic outline as dune cast pits. The most widespread occurrences of paleo-bedforms show crest-to-crest wavelengths (10–80&nbsp;m), heights (∼1–4&nbsp;m), and morphologies consistent with lower-order bedforms of megaripples or transverse aeolian ridges. Paleo-megaripple fields in Arcadia Planitia, Hellas Planitia, Terra Sirenum, and other locations exhibit a progression of degraded morphologies, with crests showing signs of rounding, pitting, or fracturing, while heights and slopes are diminished due to erosion. Most rare are the paleo-bedforms in the fluvial bedform class at Lethe Vallis and Holden crater, as they occur along the path of proposed ancient flooding events. More enigmatic paleo-bedform candidates occur concentrated along the steep Valles Marineris and Noctis Labyrinthus wall slopes. These intermediate-sized, arcuate landforms that resemble transverse climbing dunes are heavily cratered, but they may align perpendicular or oblique to the local gradient, perhaps formed by wall slope winds and slope creep.</span></p><p><span>The bedforms are unlike most ancient terrestrial aeolian or fluvial bedform systems, which are typically preserved only as truncated members of stratigraphic sections. Episodes of burial and exhumation by various geologic units (e.g., the Medusae Fossae Formation, pyroclastic units, lava flows, dust) are notable, whereas other bedforms appear to have been stabilized and partially lithified in place without burial. Ongoing agents of mass wasting, aeolian abrasion, and cryo-driven processes have contributed to the exhumation, erosion, and weathered appearance of paleo-bedforms, and a spectrum of degradation states was observed. Collectively, we report a diverse variety of ancient sedimentary bedforms preserved across Mars, with implications about paleoclimates and landscape evolution on Mars.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2024.109428","usgsCitation":"Chojnacki, M., Fenton, L.K., Edgar, L.A., Day, M.D., Edwards, C., Weintraub, A., Gullikson, A.L., and Telfer, M., 2024, Global survey of paleo-bedforms on Mars: Geomorphology, v. 466, 109428, 31 p., https://doi.org/10.1016/j.geomorph.2024.109428.","productDescription":"109428, 31 p.","ipdsId":"IP-164035","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":487143,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2024.109428","text":"Publisher Index Page"},{"id":482733,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"466","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Chojnacki, Matthew 0000-0001-8497-8994","orcid":"https://orcid.org/0000-0001-8497-8994","contributorId":296931,"corporation":false,"usgs":false,"family":"Chojnacki","given":"Matthew","email":"","affiliations":[{"id":64240,"text":"Planetary Science Institute, Lakewood, CO, USA","active":true,"usgs":false}],"preferred":false,"id":929315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fenton, Lori K.","contributorId":208682,"corporation":false,"usgs":false,"family":"Fenton","given":"Lori","email":"","middleInitial":"K.","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false}],"preferred":false,"id":929316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edgar, Lauren A. 0000-0001-7512-7813 ledgar@usgs.gov","orcid":"https://orcid.org/0000-0001-7512-7813","contributorId":167501,"corporation":false,"usgs":true,"family":"Edgar","given":"Lauren","email":"ledgar@usgs.gov","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":929317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Day, Mackenzie D.","contributorId":203790,"corporation":false,"usgs":false,"family":"Day","given":"Mackenzie","email":"","middleInitial":"D.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":929318,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, Christopher S.","contributorId":206168,"corporation":false,"usgs":false,"family":"Edwards","given":"Christopher S.","affiliations":[{"id":7202,"text":"NAU","active":true,"usgs":false}],"preferred":false,"id":929320,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Weintraub, Aaron R","contributorId":238778,"corporation":false,"usgs":false,"family":"Weintraub","given":"Aaron R","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":929319,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gullikson, Amber L. 0000-0002-1505-3151","orcid":"https://orcid.org/0000-0002-1505-3151","contributorId":208679,"corporation":false,"usgs":true,"family":"Gullikson","given":"Amber","email":"","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":929321,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Telfer, Matt","contributorId":351705,"corporation":false,"usgs":false,"family":"Telfer","given":"Matt","affiliations":[{"id":84036,"text":"SOGEES, University of Plymouth","active":true,"usgs":false}],"preferred":false,"id":929322,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70266791,"text":"70266791 - 2024 - Effects of 2D hydrodynamic model resolution on habitat estimates for rearing Coho Salmon in contrasting channel forms","interactions":[],"lastModifiedDate":"2025-05-13T16:12:59.836863","indexId":"70266791","displayToPublicDate":"2024-12-01T00:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Effects of 2D hydrodynamic model resolution on habitat estimates for rearing Coho Salmon in contrasting channel forms","docAbstract":"<p><span>Estimating the impacts of water allocation decisions on fish populations and habitat availability is an important part of environmental flow assessments, especially in locations where water resources are limited. Two-dimensional hydrodynamic models (2DHMs) are commonly coupled with biological models to estimate fish habitat quality, area, and capacity across a range of proposed streamflows. Increasingly, resource managers are relying on landscape-scale model domains with coarse model resolutions to maintain feasible computational loads, but this may affect habitat estimates if the mesh element size of the model exceeds the spatial scale relevant to the organism. We investigated how coarsening the resolution of a 2DHM influences the area and spatial distribution of estimated Coho Salmon (</span><i>Oncorhynchus kisutch</i><span>) fry habitats. We used an interpolation scheme that upscaled mesh elements from a high-resolution (0.25 m</span><sup>2</sup><span>) 2DHM to quantify and visualize the effects of 2DHM resolution on estimates of Coho Salmon fry habitat for two contrasting channel morphologies and across a broad range of streamflows. Estimates of Coho Salmon fry habitat at increasingly coarser resolutions led to 20%–50% reductions in weighted usable habitat area (WUA) across several streamflow scenarios for a complex channel type, but did not impact estimates in a confined, flume-like channel. Additionally, flow-to-habitat area relationships were not congruent at a given streamflow when resolution coarsened. Along with almost 500% more high-quality habitat area estimated in the complex channel type over the confined, discrepancies in habitat area increased with higher flows in areas defined as optimal for rearing Coho Salmon fry. Considering that complex channel types contain critical habitat for Coho Salmon fry, this study suggests coarse 2DHM resolutions may exclude important wetted edge and off-channel habitats from environmental flow assessments.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/rra.4341","usgsCitation":"Smit, R., Goodman, D., Boyce, J., and Som, N., 2024, Effects of 2D hydrodynamic model resolution on habitat estimates for rearing Coho Salmon in contrasting channel forms: River Research and Applications, v. 40, no. 10, p. 1912-1924, https://doi.org/10.1002/rra.4341.","productDescription":"13 p.","startPage":"1912","endPage":"1924","ipdsId":"IP-159556","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498000,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4341","text":"Publisher Index Page"},{"id":485831,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"northwestern California, Trinity River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.0773085299801,\n              41.83088947125944\n            ],\n            [\n              -124.0773085299801,\n              40.99630781093455\n            ],\n            [\n              -122.45499088828635,\n              40.99630781093455\n            ],\n            [\n              -122.45499088828635,\n              41.83088947125944\n            ],\n            [\n              -124.0773085299801,\n              41.83088947125944\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-07-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Smit, Reuben B.","contributorId":355038,"corporation":false,"usgs":false,"family":"Smit","given":"Reuben B.","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":936785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goodman, Damon H.","contributorId":355039,"corporation":false,"usgs":false,"family":"Goodman","given":"Damon H.","affiliations":[{"id":84701,"text":"California Trout","active":true,"usgs":false}],"preferred":false,"id":936786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyce, Josh","contributorId":355040,"corporation":false,"usgs":false,"family":"Boyce","given":"Josh","affiliations":[{"id":40296,"text":"United States Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":936787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Som, Nicholas A.","contributorId":337297,"corporation":false,"usgs":false,"family":"Som","given":"Nicholas A.","affiliations":[{"id":150,"text":"California Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":936969,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70261676,"text":"70261676 - 2024 - Limited preservation of strike-slip surface displacement in the geomorphic record","interactions":[],"lastModifiedDate":"2024-12-18T16:47:17.653515","indexId":"70261676","displayToPublicDate":"2024-11-28T10:40:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Limited preservation of strike-slip surface displacement in the geomorphic record","docAbstract":"<p><span>Offset geomorphic markers are commonly used to interpret slip history of strike-slip faults and have played an important role in forming earthquake recurrence models. These data sets are typically analyzed using cumulative probability methods to interpret average amounts of slip in past earthquakes. However, interpretation of the geomorphic record to infer surface slip history is complicated by slip variability, measurement uncertainty, and modification of offset features in the landscape. To investigate how well geomorphic data record surface slip, we use offset measurements from recent strike-slip surface ruptures (</span><i>n</i><span>&nbsp;=&nbsp;39), faults with geomorphic evidence of multiple strike-slip earthquakes (</span><i>n</i><span>&nbsp;=&nbsp;29), and synthetic slip distributions with added noise (</span><i>n</i>&gt;<span>10,000) to examine the constraints of the geomorphic record and the underlying assumptions of the cumulative offset probability distribution analysis method. We find that the geomorphic record is unlikely to resolve more than two paleo-slip distributions, except in specific cases with low slip variability, high slip-per-event, and semiarid climate. In cases where site-specific conditions allow for interpretation of more than two earthquakes, lateral extrapolation along a fault is not straightforward because on-fault displacement and distributed deformation may be spatially variable in each earthquake. We also find that average slip in modern earthquakes is adequately recovered by probability methods, but the reported prevalence of strike-slip faults with characteristic slip history is not supported by geomorphic data. We also propose updated methods to interpret slip history and construct uncertainty bounds for paleo-slip distributions.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB028692","usgsCitation":"Reitman, N.G., Klinger, Y., Briggs, R.W., and Gold, R.D., 2024, Limited preservation of strike-slip surface displacement in the geomorphic record: Journal of Geophysical Research: Solid Earth, v. 129, no. 11, e2024JB028692, 24 p., https://doi.org/10.1029/2024JB028692.","productDescription":"e2024JB028692, 24 p.","ipdsId":"IP-157733","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":498260,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jb028692","text":"Publisher Index Page"},{"id":465283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"129","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klinger, Yann","contributorId":266166,"corporation":false,"usgs":false,"family":"Klinger","given":"Yann","affiliations":[{"id":30776,"text":"Institut de Physique du Globe de Paris","active":true,"usgs":false}],"preferred":false,"id":921402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":921403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":921404,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267755,"text":"70267755 - 2024 - Leveraging local wildlife surveys for robust occupancy trend estimation","interactions":[],"lastModifiedDate":"2025-05-30T15:55:26.989134","indexId":"70267755","displayToPublicDate":"2024-11-27T10:48:01","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":"Leveraging local wildlife surveys for robust occupancy trend estimation","docAbstract":"<p><span>Natural resource agencies are frequently tasked with monitoring populations of at-risk species to ensure management activities do not negatively affect the viability of wildlife populations. Typically, these monitoring efforts evaluate trends in a population’s abundance, occupancy, or geographic distribution. Often, surveys provide local information, but results are generally not incorporated into broad-scale monitoring efforts that focus on range-wide population changes due to their variable nature in both spatial extent and effort. We investigated whether aggregating these local (hereafter “variable”) surveys can generate enough statistical power to estimate broad-scale population trends using simulations of declining populations of fishers (</span><i>Pekania</i><span>&nbsp;</span><i>pennati</i><span>) over a 10-year time horizon. Our simulations included three population sizes which we refer to as abundant, common, and rare (<i><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;msub is=&quot;true&quot;&gt;&lt;mi is=&quot;true&quot;&gt;N&lt;/mi&gt;&lt;mn is=&quot;true&quot;&gt;0&lt;/mn&gt;&lt;/msub&gt;&lt;/math&gt;\"><span class=\"MJX_Assistive_MathML\">N</span></span></span></i></span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;msub is=&quot;true&quot;&gt;&lt;mi is=&quot;true&quot;&gt;N&lt;/mi&gt;&lt;mn is=&quot;true&quot;&gt;0&lt;/mn&gt;&lt;/msub&gt;&lt;/math&gt;\"><span class=\"MJX_Assistive_MathML\"><sub>0</sub></span></span></span><sub> </sub>=&nbsp;700, 350, and 100 individuals, respectively) with each declining at a rapid and moderate pace (<span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"&lt;math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;&gt;&lt;mi is=&quot;true&quot;&gt;&amp;#x3BB;&lt;/mi&gt;&lt;/math&gt;\"><span class=\"MJX_Assistive_MathML\">λ</span></span></span>&nbsp;=&nbsp;0.933, and 0.977, respectively). For each population, we simulated variable surveys using an occupancy framework to subsample the population with parameters that mimic combining multiple independent monitoring efforts which vary annually in location, and effort. Regardless of spatial consistency of annual sampling, there was minimal variation in statistical power under both high and low detection probability simulations. However, when sampling effort varied each year, statistical power was lower for most populations and sampling scenarios when compared to consistent sampling effort unless some baseline level of sampling effort was reliably achieved in all years. In many cases, adding low-level consistent baseline sampling to variable surveys resulted in statistical power close to that of consistent sampling efforts. Our results suggest statistical power is driven by annual consistency in the proportion of landscape sampled rather than spatial consistency in sampling locations. This result indicates that current variable surveys could be leveraged and combined to detect population declines for at-risk species at broad-scales if a baseline proportion of landscape is robustly sampled. The level of baseline sampling is highly dependent on population size and magnitudes of population change. In simulations with a common or abundant population experiencing a rapid decline, a baseline survey effort of at least 5% of the landscape in combination with variable surveys resulted in statistical power consistently above the standard threshold of 0.80 for occupancy monitoring. Leveraging existing local efforts to achieve high detection probability and baseline sampling would reduce financial and logistical burdens of broad-scale wildlife monitoring efforts.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.112863","usgsCitation":"Heiman, J., Tucker, J., Sells, S.N., Millspaugh, J., and Schwartz, M.K., 2024, Leveraging local wildlife surveys for robust occupancy trend estimation: Ecological Indicators, v. 169, 112863, 14 p., https://doi.org/10.1016/j.ecolind.2024.112863.","productDescription":"112863, 14 p.","ipdsId":"IP-169633","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490652,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.112863","text":"Publisher Index Page"},{"id":489269,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana","otherGeospatial":"Rocky Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.09604758040494,\n              49.031724087428586\n            ],\n            [\n              -117.09604758040494,\n              44.99739898338183\n            ],\n            [\n              -111.51962452503669,\n              44.99739898338183\n            ],\n            [\n              -111.51962452503669,\n              49.031724087428586\n            ],\n            [\n              -117.09604758040494,\n              49.031724087428586\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"169","noUsgsAuthors":false,"publicationDate":"2024-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Heiman, Jordan L.","contributorId":356099,"corporation":false,"usgs":false,"family":"Heiman","given":"Jordan L.","affiliations":[{"id":40027,"text":"United States Forest Service","active":true,"usgs":false}],"preferred":false,"id":938744,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tucker, Jody M.","contributorId":356101,"corporation":false,"usgs":false,"family":"Tucker","given":"Jody M.","affiliations":[{"id":40027,"text":"United States Forest Service","active":true,"usgs":false}],"preferred":false,"id":938745,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sells, Sarah Nelson 0000-0003-4859-7160","orcid":"https://orcid.org/0000-0003-4859-7160","contributorId":302377,"corporation":false,"usgs":true,"family":"Sells","given":"Sarah","email":"","middleInitial":"Nelson","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938746,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Millspaugh, Joshua J.","contributorId":11141,"corporation":false,"usgs":false,"family":"Millspaugh","given":"Joshua J.","affiliations":[],"preferred":false,"id":938747,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schwartz, Michael K.","contributorId":199035,"corporation":false,"usgs":false,"family":"Schwartz","given":"Michael","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":938748,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273449,"text":"70273449 - 2024 - Updating the crustal fault model for the 2023 National Seismic Hazard Model for Alaska","interactions":[],"lastModifiedDate":"2026-01-14T15:36:32.289864","indexId":"70273449","displayToPublicDate":"2024-11-27T09:29:20","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"4","title":"Updating the crustal fault model for the 2023 National Seismic Hazard Model for Alaska","docAbstract":"<p><span>We present the crustal fault model for Alaska, based on geologic observations, as a primary input for the 2023 revision of the U.S. Geological Survey National Seismic Hazard Model. We update the 2013 Alaska Quaternary fault and fold database to produce a simplified model of 105 fault sections and four fault zone polygons with basic geologic parameters including slip sense and rate. Significant updates include the following: (1) a slip rate of ∼53 mm/year on the Queen Charlotte Fault indicating it accommodates all of the plate boundary motion; (2) quantified slip rates on megathrust splay faults in the southern Prince William Sound region and near Kodiak Island; (3) improved details of structures in the Chugach-St. Elias orogen; (4) revision of the Castle Mountain Fault from right-lateral slip to a predominantly reverse fault; (5) improved Interior Alaska tectonic models that clarify relationships between the Denali, Totschunda, and thrust faults on both sides of the Alaska Range; (6) identified large earthquake sources in the eastern Brooks Range; and (7) omission of the Chatham Strait section of the Denali Fault. The fault model underscores that the collision of the Yakutat microplate is the dominant driver of active crustal faulting in most of Alaska.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Tectonics and seismic structure of Alaska and northwestern Canada: EarthScope and beyond","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"American Geophysical Union","doi":"10.1002/9781394195947.ch4","usgsCitation":"Haeussler, P., Bender, A., Powers, P.M., Koehler, R.D., and Brothers, D., 2024, Updating the crustal fault model for the 2023 National Seismic Hazard Model for Alaska, chap. 4 <i>of</i> Tectonics and seismic structure of Alaska and northwestern Canada: EarthScope and beyond, p. 85-127, https://doi.org/10.1002/9781394195947.ch4.","productDescription":"43 p.","startPage":"85","endPage":"127","ipdsId":"IP-154998","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":498612,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska, Yukon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -157.2930153790011,\n              62.12227221887332\n            ],\n            [\n              -157.2930153790011,\n              51.969062626141636\n            ],\n            [\n              -131.04252619969355,\n              51.969062626141636\n            ],\n            [\n              -131.04252619969355,\n              62.12227221887332\n            ],\n            [\n              -157.2930153790011,\n              62.12227221887332\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  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,{"id":70263975,"text":"70263975 - 2024 - Asymmetric impacts of climate change on thermal habitat suitability for inland lake fishes","interactions":[],"lastModifiedDate":"2025-03-04T15:01:05.100939","indexId":"70263975","displayToPublicDate":"2024-11-27T08:50:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Asymmetric impacts of climate change on thermal habitat suitability for inland lake fishes","docAbstract":"<p><span>Climate change is altering the thermal habitats of freshwater fish species. We analyze modeled daily temperature profiles from 12,688 lakes in the US to track changes in thermal habitat of 60 lake fish species from different thermal guilds during 1980-2021. We quantify changes in each species’ preferred days, defined as the number of days per year when a lake contains the species’ preferred temperature. We find that cooler-water species are losing preferred days more rapidly than warmer-water species are gaining them. This asymmetric impact cannot be attributed to differences in geographic distribution among species; instead, it is linked to the seasonal dynamics of lake temperatures and increased thermal homogenization of the water column. The potential advantages of an increase in warmer-water species may not fully compensate for the losses in cooler-water species as warming continues, emphasizing the importance of mitigating climate change to support effective freshwater fisheries management.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41467-024-54533-2","usgsCitation":"Xu, L., Feiner, Z., Frater, P., Hansen, G., Ladwig, R., Paukert, C.P., Verhoeven, M., Wszola, L., and Jensen, O., 2024, Asymmetric impacts of climate change on thermal habitat suitability for inland lake fishes: Nature Communications, v. 15, 10273, 10 p., https://doi.org/10.1038/s41467-024-54533-2.","productDescription":"10273, 10 p.","ipdsId":"IP-165227","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487735,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-024-54533-2","text":"Publisher Index 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,{"id":70261168,"text":"ofr20241069 - 2024 - Outmigration behavior and survival of juvenile Chinook salmon (Oncorhynchus tshawytscha) in response to deep drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon","interactions":[],"lastModifiedDate":"2025-12-22T21:08:42.407925","indexId":"ofr20241069","displayToPublicDate":"2024-11-27T07:12:37","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1069","displayTitle":"Outmigration Behavior and Survival of Juvenile Chinook Salmon (<em>Oncorhynchus tshawytscha</em>) in Response to Deep Drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon","title":"Outmigration behavior and survival of juvenile Chinook salmon (Oncorhynchus tshawytscha) in response to deep drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon","docAbstract":"<p>An acoustic telemetry study was conducted during August 2023–February 2024 to evaluate outmigration behavior and survival of juvenile Chinook salmon (Oncorhynchus tshawytscha) in the Middle Fork Willamette River, Oregon, during an experimental operation that was designed to facilitate downstream passage through two reservoirs and two dams. The experimental operation consisted of lowering the water surface elevation of Lookout Point Reservoir by nearly 100 feet between August and December 2023, and passing water through regulating outlets at Lookout Point Dam. This operation was intended to reduce residence time for juvenile Chinook salmon in Lookout Point Reservoir so that these fish would enter the free-flowing Willamette River as quickly as possible. During our study, acoustic-tagged juvenile Chinook salmon were released weekly during late August to late October to determine how fish responded to the drawdown. Data collected during the study were analyzed using a temporally stratified multistate mark-recapture model. We found that Lookout Point Reservoir became isothermic during the drawdown and water temperature exceeded 18 degrees Celsius during most of September 2023. This appeared to adversely affect juvenile Chinook salmon because the proportion of tagged fish that were subsequently detected in the forebay of Lookout Point Dam following release at the head of Lookout Point Reservoir during August 30–September 29 ranged from 0.01 to 0.05 for weekly release groups. Detections increased to 0.44–0.52 for fish released later in the year when water temperatures decreased. We found that fish size was a significant predictor of survival as fork length was positively related to survival probability in reservoir and free-flowing river reaches of our study area, but negatively related to survival probability for fish passing Lookout Point Dam. We also found that increased regulating outlet flow at Lookout Point Dam resulted in increased survival probability for juvenile Chinook salmon and water temperature was inversely related to survival. Results from this study suggest that the drawdown failed to create conditions that facilitated downstream passage and survival of juvenile Chinook salmon through the Lookout Point Project. Our analysis provides insights into several key factors that influence survival. This information can be used by resource managers when considering revised operations that may lead to improved outmigration survival in the future.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241069","collaboration":"Prepared in cooperation with U.S. Army Corps of Engineers","usgsCitation":"Hance, D.J., Kock, T.J., Kelley, J.R., Hansen, A.C., Perry, R.W., and Fielding, S.D., 2024, Outmigration behavior and survival of juvenile Chinook salmon (<em>Oncorhynchus tshawytscha</em>) in response to deep drawdown of the Lookout Point Project, Middle Fork Willamette River, Oregon: U.S. Geological Survey Open-File Report 2024–1069, 20 p., https://doi.org/10.3133/ofr20241069.","productDescription":"Report: vii, 20 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-169049","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":497903,"rank":7,"type":{"id":36,"text":"NGMDB 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data release","description":"USGS data release","linkHelpText":"Acoustic-tagged juvenile Chinook salmon (<em>Oncorhynchus tshawytscha</em>) detections in Lookout Point Reservoir and downstream in the Middle Fork Willamette River, Oregon"}],"country":"United States","state":"Oregon","otherGeospatial":"Lookout Point Project, Middle Fork Willamette River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.83475416812524,\n              43.945953407421115\n            ],\n            [\n              -122.83475416812524,\n              43.89190767942003\n            ],\n            [\n              -122.73141100618557,\n              43.89190767942003\n            ],\n            [\n              -122.73141100618557,\n              43.945953407421115\n            ],\n            [\n              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dhance@usgs.gov","orcid":"https://orcid.org/0000-0002-4475-706X","contributorId":206496,"corporation":false,"usgs":true,"family":"Hance","given":"Dalton","email":"dhance@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":919504,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":919505,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, Jake R. 0000-0002-0316-679X","orcid":"https://orcid.org/0000-0002-0316-679X","contributorId":346538,"corporation":false,"usgs":false,"family":"Kelley","given":"Jake R.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":919506,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Amy C. 0000-0002-0298-9137 achansen@usgs.gov","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":4350,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","email":"achansen@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":919507,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":919508,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fielding, Scott D","contributorId":214556,"corporation":false,"usgs":false,"family":"Fielding","given":"Scott","email":"","middleInitial":"D","affiliations":[{"id":39071,"text":"U.S. Army Corps of Engineers, Portland, OR","active":true,"usgs":false}],"preferred":false,"id":919509,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261041,"text":"ofr20241065 - 2024 - Distribution, abundance, breeding activities, and habitat use of the Least Bell's Vireo at Marine Corps Base Camp Pendleton, California—2023 annual report","interactions":[],"lastModifiedDate":"2024-11-27T14:57:21.031384","indexId":"ofr20241065","displayToPublicDate":"2024-11-26T14:12:36","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1065","displayTitle":"Distribution, Abundance, Breeding Activities, and Habitat Use of the Least Bell's Vireo at Marine Corps Base Camp Pendleton, California—2023 Annual Report","title":"Distribution, abundance, breeding activities, and habitat use of the Least Bell's Vireo at Marine Corps Base Camp Pendleton, California—2023 annual report","docAbstract":"<h1>Executive Summary</h1><p>The purpose of this report is to provide the Marine Corps with an annual summary of abundance, breeding activity, demography, and habitat use of endangered Least Bell’s Vireos (<i>Vireo bellii pusillus</i>) at Marine Corps Base Camp Pendleton, California (MCBCP or Base). Surveys for the Least Bell's Vireo were completed at MCBCP between April 11 and July 20, 2023. Core survey areas and a subset of non-core areas in drainages containing riparian habitat suitable for vireos were surveyed two to four times. We detected 561 territorial male vireos and 28 transient vireos in core survey areas. An additional 103 territorial male vireos and 15 transients were detected in non-core survey areas. Transient vireos were detected on 10 of the 15 drainages/sites surveyed (core and non-core areas). In core survey areas, 90 percent of vireo territories were on the four most populated drainages, with the Santa Margarita River containing 72 percent of all territories in core areas surveyed on Base. In core areas, 79 percent of male vireos were confirmed as paired; 69 percent of male vireos in non-core areas were confirmed as paired.</p><p>The number of documented Least Bell’s Vireo territories in core survey areas on MCBCP decreased 2 percent from 2022. In two core survey area drainages, the number of territories increased by at least three, and in two core survey area drainages, the number of vireo territories decreased by at least four between 2022 and 2023. The number of vireo territories at the lower San Luis Rey River increased 2 percent from 2022, in contrast to the decrease at MCBCP; however, this change was negligible overall. Although the 10-percent decrease at Marine Corps Air Station, Camp Pendleton from 2022 to 2023 was superficially less trivial, this 10-percent decrease represented the loss of a single territory. The proportion of surveys during which Brown-headed Cowbirds (<i>Molothrus ater</i>) were detected decreased to 0.20 from a peak of 0.45 in 2022. Cowbirds were detected from April through July in 2023.</p><p>Most core-area vireos (62 percent, including transients) used mixed willow (<i>Salix</i> spp.) riparian habitat. An additional 7 percent of birds occupied willow habitat co-dominated by Western sycamores (<i>Platanus racemosa</i>) or Fremont cottonwoods (<i>Populus fremontii</i>). Riparian scrub dominated by mule fat (<i>Baccharis salicifolia</i>), sandbar willow (<i>S. exigua</i>), or blue elderberry (<i>Sambucus mexicana</i>) was used by 29 percent of vireos. Habitat dominated by coast live oak (<i>Quercus agrifolia</i>) and sycamore or non-native habitat was used by 1 percent of vireos; fewer than 1 percent of vireo territories were in upland scrub and habitat dominated by white alder (<i>Alnus rhombifolia</i>).</p><p>In 2019, MCBCP began operating an artificial seep along the Santa Margarita River; then in 2021, two additional artificial seeps became operational. The artificial seeps pumped water to the surface starting in March and ending in August each year during daylight hours and were designed to increase the amount of surface water present to enhance Southwestern Willow Flycatcher (<i>Empidonax traillii extimus</i>) breeding habitat. Although this enhancement was designed to benefit flycatchers, few flycatchers have inhabited MCBCP, including the seep areas, within the past several years; therefore, vireos were selected as a surrogate species to determine effects of the habitat enhancement. This report presents the fourth year of analyses of vireo and vegetation response to the artificial seeps.</p><p>In 2020, we established four study sites along the Santa Margarita River, two surrounding and extending downstream of seep pumps at the Old Treatment Ponds and along Pump Road, and two Reference sites in similar habitat but further downstream of the Seep sites. In 2023, seep pumps at one Seep site did not function, and we recategorized that study site as Intermediate. Soil moisture was higher at sites that had surface water augmentation (Seep and Intermediate sites) than at the Reference site, and soil moisture also decreased with increasing distance from the seep pumps. We sampled vegetation at these sites to determine the effects of surface water enhancement by seep pumps. Soil moisture was positively related to total foliage cover, woody cover, and native herbaceous cover below 1 meter (m), and also positively related to native herbaceous cover between 1 and 2 m. The Seep site had greater total vegetation cover in the understory (71–79 percent) than the Intermediate (52–66 percent) and Reference (61–69 percent) sites. Total herbaceous cover below 3 m was higher at the Seep site than at the Intermediate site; total herbaceous cover between 1 and 3 m was higher at the Seep site than at the Reference sites. Native herbaceous cover below 3 m was greater at the Seep site than at the Reference sites; native herbaceous cover between 2 and 3 m was also greater at the Seep site than at the Intermediate site. Non-native cover below 3 m was greater at Seep and Reference sites than at the Intermediate site. We found no difference in woody cover among site types at any height.</p><p>Vireo territory density among the Seep, Intermediate, and Reference sites was similar before the seep pumps were installed. However, vireo territory density at Seep and Intermediate sites combined was significantly higher than at Reference sites after the seep pumps were installed.</p><p>The U.S. Geological Survey has been color banding Least Bell’s Vireos on Marine Corps Base Camp Pendleton since 1995. By the end of 2022, over 1,000 Least Bell’s Vireos had been color banded on Base. In 2023, we continued to color band and resight color banded Least Bell’s Vireos to evaluate adult survival, site fidelity, between-year movement, and the effect of surface water enhancement on vireo return rate, site fidelity, and between-year movement. We banded 180 Least Bell's Vireos for the first time during the 2023 season, including 1 adult vireo and 179 nestlings. Adult vireos were banded with unique color combinations, whereas nestlings were banded with a single gold numbered federal band on the right leg.</p><p>We resighted 57 Least Bell's Vireos on Base in 2023 that had been banded before the 2023 breeding season, 20 of which we were unable to identify. Of the 37 that we could identify, 34 were banded on Base, 2 were originally banded on the San Luis Rey River, and 1 was banded at Marine Corps Air Station, Camp Pendleton. Adult birds of known age ranged from 1 to 8 years old.</p><p>Base-wide survival of vireos was affected by sex, age, and year. Males had significantly higher annual survival than females. Adults had higher annual survival than first-year vireos. Survival for adults and first-year birds was lowest from 2020 to 2021 and highest from 2007 to 2008 and from 2012 to 2013. The return rate of adult vireos to Seep, Intermediate, or Reference sites was not affected by the original banding site (Seep versus Intermediate versus Reference).</p><p>Most returning adult vireos, predominantly males, showed strong between-year site fidelity. Of the adults present in 2022, 88 percent (96 percent of males; 25 percent of females) returned in 2023 to within 100 m of their previous territory. The discrepancy between male and female return rates follows the pattern observed in previous years. The average between-year movement for returning adult vireos was 0.4±1.9 kilometers (km). The average movement of first-year vireos detected in 2023 that fledged from a known nest on MCBCP in 2022 was 0.9±0.5 km.</p><p>We monitored Least Bell's Vireo pairs to evaluate the effects of surface water enhancement on nest success and breeding productivity. We monitored vireo nesting activity at 13 territories in the Seep site, 12 territories at the Intermediate site, and 25 territories in the Reference sites between April 8 and July 26. All territories except one at a Seep site and one at a Reference site were occupied by pairs, and all were fully monitored, meaning that all nesting attempts were monitored at these territories. During the monitoring period, 99 nests (26 in the Seep site, 28 at the Intermediate site, and 45 in Reference sites) were monitored.</p><p>Breeding productivity was similar among Seep, Intermediate, and Reference sites (2.9, 3.6, and 3.0 young fledged per pair, respectively), and a similar percentage of pairs at Seep, Intermediate, and Reference sites fledged at least 1 young (83, 83, and 96 percent, respectively). Other measures of breeding productivity were also similar among Seep, Intermediate, and Reference site pairs. According to the best model, daily nest survival in 2023 was not related to site. Fledging success appeared lower at Intermediate and Seep sites than at the Reference sites in 2023 (48, 46, and 67 percent, respectively), although the difference was not statistically significant. Predation was believed to be the primary source of nest failure at all sites. Predation accounted for 85, 77, and 71 percent of nest failures at Seep, Intermediate, and Reference sites, respectively. Failure of the remaining nests was attributed to infertile eggs, collapse of the vegetation supporting the nest, and other unknown causes. We found no relationships between vireo productivity and understory (below 3 m) vegetation cover.</p><p>Vireos placed their nests in 15 plant species in 2023. We found few differences in nest placement between successful and unsuccessful vireo nests. At Reference sites, successful vireo nests were placed slightly but significantly higher in the vegetation than unsuccessful nests, and at Intermediate sites, successful nests were placed significantly closer to the edge of the nest plant than unsuccessful nests. We did not find differences in nest placement among Seep, Intermediate, and Reference sites.</p><p>We found that as bio-year precipitation increased, the number of fledglings produced per vireo pair also increased. We did not find a link between bio-year precipitation and adult survival.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241065","collaboration":"Prepared in cooperation with Assistant Chief of Staff, Environmental Security, U.S. Marine Corps Base Camp Pendleton","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Lynn, S., and Kus, B.E., 2024, Distribution, abundance, breeding activities, and habitat use of the Least Bell's Vireo at Marine Corps Base Camp Pendleton, California—2023 annual report: U.S. Geological Survey Open-File Report 2024–1065, 84 p., https://doi.org/10.3133/ofr20241065.","productDescription":"ix, 84 p.","numberOfPages":"84","onlineOnly":"Y","ipdsId":"IP-163540","costCenters":[{"id":651,"text":"Western Ecological Research 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href=\"https://usgs.gov/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://usgs.gov\">U.S. Geological Survey</a><br>3020 State University Drive East<br>Sacramento, California 95819</p>","tableOfContents":"<div id=\":1k0\" class=\"Am aiL Al editable LW-avf tS-tW tS-tY\" role=\"textbox\" contenteditable=\"true\" spellcheck=\"false\" aria-label=\"Message Body\" aria-multiline=\"true\" aria-owns=\":1p9\" aria-controls=\":1p9\" aria-expanded=\"false\" data-mce-tabindex=\"1\"><ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Study Areas and Methods</li><li>Results</li><li>Discussion</li><li>Conclusions</li><li>References Cited</li><li>Appendix 1. Least Bell’s Vireo Survey Areas at Marine Corps Base Camp Pendleton, 2023</li><li>Appendix 2. Vegetation Sampling Locations and Vegetation Sampling Data Sheet, Marine Corps Base Camp Pendleton, 2023</li><li>Appendix 3. Locations of Least Bell’s Vireos at Marine Corps Base Camp Pendleton, 2023</li><li>Appendix 4. Number of Territorial Male Least Bell Vireos in Core Survey Areas at Marine Corps Base Camp Pendleton, by Drainage, 2005–23</li><li>Appendix 5. Proportion of All Surveys during which Brown-headed Cowbirds Were Detected in Core Survey Areas at Marine Corps Base Camp Pendleton, by Drainage, 2005–23</li><li>Appendix 6. Proportion of Least Bell’s Vireo Territories, Including Areas Occupied by Transients, Dominated or Co-Dominated by Non-Native Vegetation, by Drainage, 2005–23</li><li>Appendix 7. Banded Least Bell’s Vireos at Marine Corps Base Camp Pendleton, 2023</li><li>Appendix 8. Between-Year Movement of Adult and Juvenile Least Bell’s Vireos Detected at Marine Corps Base Camp Pendleton, 2023</li><li>Appendix 9. Status and Nesting Activities of Least Bell’s Vireos at Marine Corps Base Camp Pendleton, 2023</li></ul></div>","publishingServiceCenter":{"id":1,"text":"Sacramento 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,{"id":70261072,"text":"ofr20211030Q - 2024 - System characterization report on Vision-1","interactions":[{"subject":{"id":70261072,"text":"ofr20211030Q - 2024 - System characterization report on Vision-1","indexId":"ofr20211030Q","publicationYear":"2024","noYear":false,"chapter":"Q","displayTitle":"System Characterization Report on Vision-1","title":"System characterization report on Vision-1"},"predicate":"IS_PART_OF","object":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"id":1}],"isPartOf":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"lastModifiedDate":"2024-11-26T15:48:38.884331","indexId":"ofr20211030Q","displayToPublicDate":"2024-11-25T13:30:55","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1030","chapter":"Q","displayTitle":"System Characterization Report on Vision-1","title":"System characterization report on Vision-1","docAbstract":"<h1>Executive Summary&nbsp;</h1><p>This report addresses system characterization of the Airbus Vision-1 satellite and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present and detail the methodology and procedures for characterization; present technical and operational information about the specific sensing system being evaluated; and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.</p><p>Vision-1 is a high-resolution Earth observation satellite launched in September 2018 as a collaborative effort between Airbus and Surrey Satellite Technology Ltd. It features a Newtonian telescope with a refractive relay, capturing images in panchromatic and multispectral bands. Operating in a Sun-synchronous orbit at an altitude of 583 kilometers, Vision-1 ensures consistent illumination conditions during image acquisition. It has a revisit time of 1 to 8 days depending on latitude and viewing angle, and it features an off-pointing agility of plus or minus 45 degrees, allowing for multiple target captures in a single pass using spot, strip, and mosaic imaging modes. The panchromatic band offers a resolution of 0.87 meter (m), whereas the multispectral bands (blue, green, red, and near infrared) provide a resolution of 3.48 m. These capabilities support a variety of applications including urban planning, agricultural monitoring, land classification, natural resource management, and disaster response. More information on the Vision-1 satellite and sensors is available in the “2022 Joint Agency Commercial Imagery Evaluation—Remote Sensing Satellite Compendium.”</p><p>The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team completed data analyses to characterize the geometric (interior and exterior), radiometric, and spatial performances. Results of these analyses indicate that the Vision-1 satellite has an interior geometric performance in the range of 0 to 0.02 m in easting and −0.01 to 0.03 m in northing in band-to-band registration, an exterior geometric performance of 1.7 to 2.2 m in easting and −1.1 to −0.7 m in northing offset with a 90-percent circular error of 3.4 to 3.7 m, a radiometric performance in the range of −0.029 to 0.017 in offset and 0.884 to 0.984 in slope, and a spatial performance in the range of 0.992 to 1.092 pixels for multispectral full width at half maximum and 1.895 pixels for the panchromatic band full width at half maximum, with a modulation transfer function at a Nyquist frequency in the range of 0.29 to 0.36 for the multispectral bands and 0.05 for the panchromatic band.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030Q","usgsCitation":"Vrabel, J.C., Bresnahan, P., Sampath, A., Kim, M., Park, S., and Clauson, J., 2024, System characterization report on Vision-1, chap. Q <em>of</em> Ramaseri Chandra, S.N., comp., System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, 14 p., https://doi.org/10.3133/ofr20211030Q.","productDescription":"iv, 14 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-168556","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":464467,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/q/coverthb.jpg"},{"id":464468,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/q/ofr20211030q.pdf","text":"Report","size":"1.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1030–Q"},{"id":464469,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1030/q/ofr20211030q.XML"},{"id":464470,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1030/q/images/"},{"id":464471,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20211030Q/full"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eros\" data-mce-href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>System Description</li><li>Procedures</li><li>Measurements</li><li>Analysis</li><li>Summary and Conclusions</li><li>Selected References</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-11-25","noUsgsAuthors":false,"publicationDate":"2024-11-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Vrabel, James C. 0000-0002-0120-4721","orcid":"https://orcid.org/0000-0002-0120-4721","contributorId":346450,"corporation":false,"usgs":true,"family":"Vrabel","given":"James","email":"","middleInitial":"C.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":919108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bresnahan, Paul 0000-0002-3491-0956","orcid":"https://orcid.org/0000-0002-3491-0956","contributorId":306120,"corporation":false,"usgs":false,"family":"Bresnahan","given":"Paul","affiliations":[{"id":27608,"text":"Contractor to the USGS","active":true,"usgs":false}],"preferred":false,"id":919109,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sampath, Aparajithan 0000-0002-6922-4913","orcid":"https://orcid.org/0000-0002-6922-4913","contributorId":222486,"corporation":false,"usgs":false,"family":"Sampath","given":"Aparajithan","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":919110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kim, Minsu 0000-0003-4472-0926","orcid":"https://orcid.org/0000-0003-4472-0926","contributorId":297371,"corporation":false,"usgs":false,"family":"Kim","given":"Minsu","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":919111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Park, Seonkyung 0000-0003-3203-1998 seonkyungpark@contractor.usgs.gov","orcid":"https://orcid.org/0000-0003-3203-1998","contributorId":222488,"corporation":false,"usgs":false,"family":"Park","given":"Seonkyung","email":"seonkyungpark@contractor.usgs.gov","affiliations":[{"id":40547,"text":"United Support Services, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":919112,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Clauson, Jeff 0000-0003-3406-4988 jclauson@usgs.gov","orcid":"https://orcid.org/0000-0003-3406-4988","contributorId":5230,"corporation":false,"usgs":true,"family":"Clauson","given":"Jeff","email":"jclauson@usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":919113,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261145,"text":"70261145 - 2024 - New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application","interactions":[{"subject":{"id":70261145,"text":"70261145 - 2024 - New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application","indexId":"70261145","publicationYear":"2024","noYear":false,"title":"New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application"},"predicate":"SUPERSEDED_BY","object":{"id":70267254,"text":"70267254 - 2025 - New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application","indexId":"70267254","publicationYear":"2025","noYear":false,"title":"New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application"},"id":1}],"supersededBy":{"id":70267254,"text":"70267254 - 2025 - New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application","indexId":"70267254","publicationYear":"2025","noYear":false,"title":"New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application"},"lastModifiedDate":"2025-05-28T15:07:14.511594","indexId":"70261145","displayToPublicDate":"2024-11-25T10:11:29","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18754,"text":"EcoEvoRxiv","active":true,"publicationSubtype":{"id":32}},"title":"New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application","docAbstract":"Lampreys (Petromyzontiformes) are an ancient group of fishes with complex life histories. We created a life cycle model that includes an R Shiny interactive web application interface to simulate abundance by life stage. This will allow scientists and managers to connect available demographic information in a framework that can be applied to questions regarding lamprey biology and conservation. We used Pacific lamprey (Entosphenus tridentatus) as a case study to highlight the utility of this model. We applied a global sensitivity analysis to explore the importance of individual life stage parameters to overall population size, and to better understand the implications of existing gaps in knowledge. We also provided example analyses of selected management scenarios (dam passage, fish translocations, and hatchery additions) influencing Pacific lamprey in fresh water. These applications illustrate how the model can be applied to inform conservation efforts. This tool will provide new capabilities for users to explore their own questions about lamprey biology and conservation. Simulations can hone hypotheses and predictions, which can then be empirically tested in the real world.","language":"English","publisher":"EcoEvoRxiv","doi":"10.32942/X28G9B","collaboration":"Oregon Department of Fish and Wildlife, Yakama Nation Fisheries Resource Management Program","usgsCitation":"Gomes, D.G., Benjamin, J.R., Clemens, B.J., Lampman, R., and Dunham, J., 2024, New technology for an ancient fish: A lamprey life cycle modeling tool with an R Shiny application: EcoEvoRxiv, https://doi.org/10.32942/X28G9B.","productDescription":"52 p.","ipdsId":"IP-172916","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":488522,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.32942/x28g9b","text":"Publisher Index Page"},{"id":464527,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gomes, Dylan Gerald-Everett 0000-0002-2642-3728","orcid":"https://orcid.org/0000-0002-2642-3728","contributorId":346160,"corporation":false,"usgs":true,"family":"Gomes","given":"Dylan","email":"","middleInitial":"Gerald-Everett","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":919427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":919428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Clemens, Benjamin J.","contributorId":195098,"corporation":false,"usgs":false,"family":"Clemens","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":919429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lampman, Ralph","contributorId":215233,"corporation":false,"usgs":false,"family":"Lampman","given":"Ralph","email":"","affiliations":[],"preferred":true,"id":919430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":919431,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263803,"text":"70263803 - 2024 - Enhanced petrogenic organic carbon oxidation during the Paleocene-Eocene thermal maximum","interactions":[],"lastModifiedDate":"2025-02-25T15:27:33.181958","indexId":"70263803","displayToPublicDate":"2024-11-25T09:24:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20082,"text":"Geochemical Perspectives Letters","active":true,"publicationSubtype":{"id":10}},"title":"Enhanced petrogenic organic carbon oxidation during the Paleocene-Eocene thermal maximum","docAbstract":"<p><span>The Paleocene-Eocene thermal maximum (PETM; ∼56 Ma) is a hyperthermal event associated with the rapid input of carbon into the ocean-atmosphere system. The oxidation of petrogenic organic carbon (OC</span><sub>petro</sub><span>) may have released additional carbon dioxide (CO</span><sub>2</sub><span>), thereby prolonging the PETM. However, proxy-based estimates of OC</span><sub>petro</sub><span>&nbsp;oxidation are unavailable due to the lack of suitable techniques. Raman spectroscopy is used to evaluate OC</span><sub>petro</sub><span>&nbsp;oxidation in modern settings. For the first time, we explore whether Raman spectroscopy can evaluate OC</span><sub>petro</sub><span>&nbsp;oxidation during the PETM. In the mid-Atlantic Coastal Plain, there is a shift from disordered to graphitised carbon. This is consistent with enhanced oxidation of disordered OC</span><sub>petro</sub><span>&nbsp;and intensified physical erosion. In the Arctic Ocean, the distribution of graphitised carbon&nbsp;</span><i>vs</i><span>. disordered carbon does not change, suggesting limited variability in weathering intensity. Overall, this study provides the first evidence of increased OC</span><sub>petro</sub><span>&nbsp;oxidation during the PETM, although it was likely not globally uniform. Our work also highlights the utility of Raman spectroscopy as a novel tool to reconstruct OC</span><sub>petro</sub><span>&nbsp;oxidation in the past.</span></p>","language":"English","publisher":"European Association of Geochemistry","doi":"10.7185/geochemlet.2444","usgsCitation":"Hollingsworth, E., Sparkes, R., Self-Trail, J., Foster, G., and Inglis, G., 2024, Enhanced petrogenic organic carbon oxidation during the Paleocene-Eocene thermal maximum: Geochemical Perspectives Letters, v. 33, p. 1-6, https://doi.org/10.7185/geochemlet.2444.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-167698","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":486928,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7185/geochemlet.2444","text":"Publisher Index Page"},{"id":482444,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hollingsworth, Emily H.","contributorId":351296,"corporation":false,"usgs":false,"family":"Hollingsworth","given":"Emily H.","affiliations":[{"id":83946,"text":"University of Southhampton","active":true,"usgs":false}],"preferred":false,"id":928348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sparkes, Robert B.","contributorId":351297,"corporation":false,"usgs":false,"family":"Sparkes","given":"Robert B.","affiliations":[{"id":25496,"text":"Manchester Metropolitan University","active":true,"usgs":false}],"preferred":false,"id":928349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Self-Trail, Jean 0000-0002-3018-4985 jstrail@usgs.gov","orcid":"https://orcid.org/0000-0002-3018-4985","contributorId":147370,"corporation":false,"usgs":true,"family":"Self-Trail","given":"Jean","email":"jstrail@usgs.gov","affiliations":[{"id":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":928350,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Gavin L.","contributorId":351298,"corporation":false,"usgs":false,"family":"Foster","given":"Gavin L.","affiliations":[{"id":83946,"text":"University of Southhampton","active":true,"usgs":false}],"preferred":false,"id":928351,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Inglis, Gordon N.","contributorId":351299,"corporation":false,"usgs":false,"family":"Inglis","given":"Gordon N.","affiliations":[{"id":83946,"text":"University of Southhampton","active":true,"usgs":false}],"preferred":false,"id":928352,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261433,"text":"70261433 - 2024 - Predicted occurrence and abundance habitat suitability of invasive plants in the contiguous United States: Updates for the INHABIT web tool.","interactions":[],"lastModifiedDate":"2024-12-10T14:54:37.257324","indexId":"70261433","displayToPublicDate":"2024-11-25T08:49:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5071,"text":"NeoBiota","active":true,"publicationSubtype":{"id":10}},"title":"Predicted occurrence and abundance habitat suitability of invasive plants in the contiguous United States: Updates for the INHABIT web tool.","docAbstract":"<p><span>Invasive plant species have substantial negative ecological and economic impacts. Geographic information on the potential and actual distributions of invasive plants is critical for their effective management. For many regions, numerous sources of predictive geographic information exist for invasive plants, often in the form of outputs from species distribution models (</span><abbr id=\"ABBRID0EIF\" title=\"species distribution models\">SDMs</abbr><span>). The creation of a repository of consistently produced&nbsp;</span><abbr id=\"ABBRID0EMF\" title=\"species distribution models\">SDMs</abbr><span>&nbsp;of regional- or national-scale information predicting the potential distribution of invasive plant species could provide information to managers in the prioritisation of invasive species management. Here, we present a novel set of not only habitat suitability models for occurrence for 259 manager requested invasive plant species in the contiguous United States (USA), but also habitat suitability models for abundance (≥ 5% cover) and high abundance (≥ 25% cover). These data provide an update to the Invasive Species Habitat Tool (</span><abbr id=\"ABBRID0EQF\" title=\"Invasive Species Habitat Tool\">INHABIT</abbr><span>; gis.usgs.gov/inhabit). This tool contains information on the majority of invasive plant species in the contiguous USA with sufficient location data for model building.&nbsp;</span><abbr id=\"ABBRID0EUF\" title=\"Invasive Species Habitat Tool\">INHABIT</abbr><span>&nbsp;provides a canonical set of predicted geographic distributions for invasive plants in the contiguous USA that can aid in the search for new populations of invasive plant species and help create watch lists for emerging invaders. As this tool contains information on nearly all of the most problematic invasive plants in the contiguous USA, it helps in prioritising management strategies by showing which plants are already present or abundant in a land management area and which may become present or abundant in the future.</span></p>","language":"English","publisher":"Pensoft","doi":"10.3897/neobiota.96.134842","usgsCitation":"Jarnevich, C.S., Engelstad, P., Williams, D.A., Shadwell, K.S., Reimer, C.J., Henderson, G., Prevey, J.S., and Pearse, I.S., 2024, Predicted occurrence and abundance habitat suitability of invasive plants in the contiguous United States: Updates for the INHABIT web tool.: NeoBiota, v. 96, p. 261-278, https://doi.org/10.3897/neobiota.96.134842.","productDescription":"18 p.","startPage":"261","endPage":"278","ipdsId":"IP-167257","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466743,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/neobiota.96.134842","text":"Publisher Index Page"},{"id":464943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"contiguous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                -94.81758,\n                49.38905\n              ],\n              [\n                -94.64,\n                48.84\n              ],\n              [\n                -94.32914,\n                48.67074\n              ],\n              [\n                -93.63087,\n                48.60926\n              ],\n              [\n                -92.61,\n                48.45\n              ],\n              [\n                -91.64,\n                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