{"pageNumber":"44","pageRowStart":"1075","pageSize":"25","recordCount":46619,"records":[{"id":70263582,"text":"70263582 - 2025 - International data gaps at the Center for Engineering Strong Motion Data","interactions":[],"lastModifiedDate":"2025-02-18T16:53:20.52639","indexId":"70263582","displayToPublicDate":"2024-12-01T10:50:55","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"International data gaps at the Center for Engineering Strong Motion Data","docAbstract":"<p>The Center for Engineering Strong Motion Data (CESMD) is utilized by seismologists, engineers, and disaster management professionals in the US and has historically achieved and distributed waveforms from across the globe for significant earthquakes. The increased access to the waveforms via Web API (Application Programming Interface) offers a unique opportunity to provide the community complete datasets, sampling a variety of tectonic environments and geologic conditions, increasing the number of available ground motion records for use in ground motion models (GMMs) and improving the accuracy of earthquake engineering evaluations. The objective of this study is to programmatically identify gaps in global event data from the past decade and backfill missing data gaps at CESMD. We first compare the CESMD catalog with the Advanced National Seismic System (ANSS) Comprehensive Earthquake Catalog identifying regions and time periods where strong-motion data is limited or inadequate. To backfill datasets at CESMD for significant events, we pinpoint regions and time intervals that lack information, creating a list of events for which we’d like to obtain data. An important facet of this work is identifying the source of data and metadata across earthquake repositories around the world and integrating these data repositories into our current strong-motion data processing workflow. In parallel with these newly processed datasets, we are developing a script to produce data origination citations to include provenance and attribution information to associate with respective datasets at CESMD. We showcase our methodology for identifying and filling data gaps at CESMD using three case studies (the 2018 Anchorage Alaska earthquake sequence, seismicity associated with the 2018 Hawaiian Kilauea volcano eruption, and several earthquakes in Turkey) and then outline our strategy to apply our data gap backfilling methods on an international scale.</p>","conferenceTitle":"18th World Conference on Earth Engineering 2024","conferenceDate":"June 30-Jul 5, 2024","conferenceLocation":"Milan, Italy","language":"English","publisher":"International Association for Earthquake Engineering","usgsCitation":"Shao, H., Brody, J., Schleicher, L.S., Marano, K., Steidl, J.H., Thompson, E.M., Hearne, M., and Blair, J., 2025, International data gaps at the Center for Engineering Strong Motion Data, 18th World Conference on Earth Engineering 2024, Milan, Italy, June 30-Jul 5, 2024, 12 p.","productDescription":"12 p.","ipdsId":"IP-162021","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":482092,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://proceedings-wcee.org/view.html?id=24960&conference=18WCEE"},{"id":482172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shao, Han 0000-0003-3906-0943","orcid":"https://orcid.org/0000-0003-3906-0943","contributorId":333675,"corporation":false,"usgs":true,"family":"Shao","given":"Han","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brody, Jeff 0000-0001-8324-1261","orcid":"https://orcid.org/0000-0001-8324-1261","contributorId":201880,"corporation":false,"usgs":true,"family":"Brody","given":"Jeff","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schleicher, Lisa Sue 0000-0001-6528-1753","orcid":"https://orcid.org/0000-0001-6528-1753","contributorId":264892,"corporation":false,"usgs":true,"family":"Schleicher","given":"Lisa","email":"","middleInitial":"Sue","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Marano, Kristin 0000-0002-0420-2748 kmarano@usgs.gov","orcid":"https://orcid.org/0000-0002-0420-2748","contributorId":207906,"corporation":false,"usgs":true,"family":"Marano","given":"Kristin","email":"kmarano@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":927431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Steidl, Jamison Haase 0000-0003-0612-7654","orcid":"https://orcid.org/0000-0003-0612-7654","contributorId":239709,"corporation":false,"usgs":true,"family":"Steidl","given":"Jamison","email":"","middleInitial":"Haase","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927430,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":927432,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":927433,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Blair, James Luke 0000-0003-1678-5634","orcid":"https://orcid.org/0000-0003-1678-5634","contributorId":333670,"corporation":false,"usgs":true,"family":"Blair","given":"James Luke","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927434,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70261387,"text":"70261387 - 2025 - Cross-shore hydrodynamics and morphodynamics modeling of an erosive event in the inner surf zone","interactions":[],"lastModifiedDate":"2024-12-06T15:20:32.157193","indexId":"70261387","displayToPublicDate":"2024-11-30T09:09:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1262,"text":"Coastal Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Cross-shore hydrodynamics and morphodynamics modeling of an erosive event in the inner surf zone","docAbstract":"<p><span>The phase-averaged and depth-integrated coastal morphodynamic model, XBeach-Surfbeat, was investigated for its capability of predicting the cross-shore hydrodynamics and morphodynamics in the inner surf zone by simulating the storm-induced berm erosion, sediment transport, and subsequent sand bar formation. By utilizing a comprehensive hydrodynamic and morphodynamic dataset measured in a large wave flume and high-fidelity 3D large-eddy simulation (LES) data, a rigorous model validation was conducted to assess its capability in predicting inner-surf zone hydrodynamics and to explore how the improved hydrodynamic performance impacts the predicted morphodynamics. Using the default model parameters of the model, the undertow was overestimated with the peak magnitude being 30%–35% larger in the inner surf zone. Combining Monte Carlo simulation, the optimum hydrodynamic calibration for the simulated undertow was achieved when the roller energy dissipation parameter (</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>&amp;#x3B2;</mi><mo stretchy=&quot;true&quot; is=&quot;true&quot;>)</mo></mrow></math>\"><span class=\"MJX_Assistive_MathML\"><i>β</i>)</span></span></span><span>&nbsp;was maintained below 0.1, and the threshold water depth (</span><i><span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mi is=&quot;true&quot;>h</mi><mi mathvariant=&quot;italic&quot; is=&quot;true&quot;>min</mi></msub></mrow></math>\"><span class=\"MJX_Assistive_MathML\">h<sub>min</sub></span></span></span></i><span>) exceeded 0.25&nbsp;m. The calibrated undertow improved the morphodynamic predictions by reducing the excessive berm erosion (Event I) and sand bar growth in the inner surf zone (Event II). Further improved morphodynamic predictions were achieved by calibrating sediment transport parameters, including the onshore sediment transport coefficient (</span><span class=\"math\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mi is=&quot;true&quot;>&amp;#x3B3;</mi><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>u</mi><mi is=&quot;true&quot;>a</mi></mrow></msub></mrow></math>\"><span class=\"MJX_Assistive_MathML\">γua</span></span></span><span>) and the bore interval coefficient (</span><i><span class=\"math\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mrow is=&quot;true&quot;><msub is=&quot;true&quot;><mi is=&quot;true&quot;>T</mi><mrow is=&quot;true&quot;><mi is=&quot;true&quot;>b</mi><mi is=&quot;true&quot;>f</mi><mi is=&quot;true&quot;>a</mi><mi is=&quot;true&quot;>c</mi></mrow></msub></mrow></math>\"><span class=\"MJX_Assistive_MathML\">T<sub>bfac</sub></span></span></span></i><span>) associated with turbulence-bed interaction. A consistent set of optimized model coefficients for the model is shown to be effective in simulating the entire erosive event (combined Events I and II). This study reveals that further improvement of the model's capability may require incorporating new parameterizations and physics, such as wave-breaking-induced turbulence and wave nonlinearity associated with sediment transport in the inner surf and swash zones.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2024.104662","usgsCitation":"Zhang, J., Tsai, B., Rafati, Y., Hsu, T., and Puleo, J.A., 2025, Cross-shore hydrodynamics and morphodynamics modeling of an erosive event in the inner surf zone: Coastal Engineering, v. 196, 104662, 14 p., https://doi.org/10.1016/j.coastaleng.2024.104662.","productDescription":"104662, 14 p.","ipdsId":"IP-164490","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":489875,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2024.104662","text":"Publisher Index Page"},{"id":464886,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"196","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Jiaye","contributorId":346982,"corporation":false,"usgs":false,"family":"Zhang","given":"Jiaye","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":920460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tsai, Benjamin 0000-0002-2176-9295","orcid":"https://orcid.org/0000-0002-2176-9295","contributorId":344670,"corporation":false,"usgs":true,"family":"Tsai","given":"Benjamin","email":"","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":920461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rafati, Yashar","contributorId":223049,"corporation":false,"usgs":false,"family":"Rafati","given":"Yashar","email":"","affiliations":[],"preferred":false,"id":920462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hsu, Tian-Jian 0000-0002-8473-3441","orcid":"https://orcid.org/0000-0002-8473-3441","contributorId":344671,"corporation":false,"usgs":false,"family":"Hsu","given":"Tian-Jian","email":"","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":920463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puleo, Jack A. 0000-0002-2889-5956","orcid":"https://orcid.org/0000-0002-2889-5956","contributorId":344679,"corporation":false,"usgs":false,"family":"Puleo","given":"Jack","email":"","middleInitial":"A.","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":920464,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263161,"text":"70263161 - 2025 - Identifying priority science information needs for managing public lands","interactions":[],"lastModifiedDate":"2025-03-11T14:56:42.983038","indexId":"70263161","displayToPublicDate":"2024-11-28T08:47:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Identifying priority science information needs for managing public lands","docAbstract":"<p><span>Public lands worldwide provide diverse resources, uses, and values, ranging from wilderness to extractive uses. Decision-making on public lands is complex as a result and is required by law to be informed by science. However, public land managers may not always have the science they need. We developed a methodology for identifying priority science needs for public land management agencies. We relied on two core data sources: environmental effects analyses conducted for agency decisions and legal challenges to those decisions. We considered needs in four categories: data, science, methods, and mitigation measures. We classified topics as primary science needs when (1) the topic was analyzed frequently in agency environmental analyses, (2) our metric of quality/defensibility was low or mitigation measures were frequently included for the topic, and (3) the agency was challenged on its use of science for the topic. We applied our methodology to the Bureau of Land Management—the largest public land manager in the United States—in Colorado, a state with abundant and diverse public lands. Primary identified needs were data on vegetation; science about effects of oil and gas development and livestock grazing on multiple resources, including terrestrial wildlife; methods for analyzing environmental effects for many topics; and mitigation measures for protecting vegetation, soils, water quality, and archaeological and historic resources. Science needs often reflect needs for facilitating and supporting the use of existing science in agency decision-making. Our method can be applied across agencies, geographies, and timeframes to help strengthen science use in public lands decision-making.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s00267-024-02080-3","usgsCitation":"Carter, S.K., Haby, T., Samuel, E.M., Foster, A., Meineke, J., McCall, L., Burton, M., Domschke, C., Espy, L., and Gilbert, M., 2025, Identifying priority science information needs for managing public lands: Environmental Management, v. 75, p. 444-463, https://doi.org/10.1007/s00267-024-02080-3.","productDescription":"20 p.","startPage":"444","endPage":"463","ipdsId":"IP-151598","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":487607,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-024-02080-3","text":"Publisher Index Page"},{"id":481495,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"75","noUsgsAuthors":false,"publicationDate":"2024-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":925706,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haby, Travis","contributorId":202409,"corporation":false,"usgs":false,"family":"Haby","given":"Travis","affiliations":[{"id":36421,"text":"Bureau of Land Management National Operations Center","active":true,"usgs":false}],"preferred":false,"id":925707,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Samuel, Ella M. 0000-0001-5085-7369","orcid":"https://orcid.org/0000-0001-5085-7369","contributorId":300515,"corporation":false,"usgs":true,"family":"Samuel","given":"Ella","email":"","middleInitial":"M.","affiliations":[{"id":65185,"text":"School of Earth and Sustainability, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":925708,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Alison C. 0000-0002-6659-2120","orcid":"https://orcid.org/0000-0002-6659-2120","contributorId":331240,"corporation":false,"usgs":false,"family":"Foster","given":"Alison C.","affiliations":[{"id":79166,"text":"USGS, currently US Forest Service","active":true,"usgs":false}],"preferred":false,"id":925709,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meineke, Jennifer K. 0000-0002-7136-5854","orcid":"https://orcid.org/0000-0002-7136-5854","contributorId":331238,"corporation":false,"usgs":false,"family":"Meineke","given":"Jennifer K.","affiliations":[{"id":79165,"text":"USGS, currently with Colorado State University","active":true,"usgs":false}],"preferred":false,"id":925710,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCall, Laine E. 0000-0003-2624-8453","orcid":"https://orcid.org/0000-0003-2624-8453","contributorId":336893,"corporation":false,"usgs":false,"family":"McCall","given":"Laine E.","affiliations":[{"id":80900,"text":"Student Contractor, U.S. Geological Survey, Fort Collins Science Center","active":true,"usgs":false}],"preferred":false,"id":925711,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burton, Malia","contributorId":350331,"corporation":false,"usgs":false,"family":"Burton","given":"Malia","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":925712,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Domschke, Chris","contributorId":267281,"corporation":false,"usgs":false,"family":"Domschke","given":"Chris","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":925713,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Espy, Leigh","contributorId":329383,"corporation":false,"usgs":false,"family":"Espy","given":"Leigh","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":925714,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gilbert, Megan A.","contributorId":329384,"corporation":false,"usgs":false,"family":"Gilbert","given":"Megan A.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":925715,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70261572,"text":"70261572 - 2025 - Evaluation of the gap intercept method to measure rangeland connectivity","interactions":[],"lastModifiedDate":"2024-12-16T16:15:42.684883","indexId":"70261572","displayToPublicDate":"2024-11-26T10:06:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6002,"text":"Rangeland Ecology & Management","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of the gap intercept method to measure rangeland connectivity","docAbstract":"<p><span>Characterizing the connectivity of materials, organisms, and energy on rangelands is critical to understanding and managing ecosystem response to disturbances. For over twenty years, scientists and rangeland managers have used the gap intercept method to monitor connectivity. However, using gap intercept measurements to infer ecosystem processes or inform management actions and conservation practices on rangelands has been limited because there are few tools and syntheses to help managers pragmatically interpret gap measurements. In this synthesis, we review the different ways the gap intercept method is conducted and highlight considerations when collecting and using gap intercept data. We discuss what is known about how gap intercept data can be used to assess wind and water erosion, biocrust abundance and composition, soil fertility, plant community dynamics, wildlife habitat characteristics, and fuel connectivity and fire behavior. Finally, we identify emerging opportunities regarding the collection and use of gap intercept data to assess rangeland connectivity, ecosystem function, and ecological processes. Through this synthesis we demonstrate the value of the gap intercept method, particularly “all-plant” (i.e., whole-community) canopy gap, in supporting assessments of rangeland condition and vulnerability, and in planning future management actions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rama.2024.09.001","usgsCitation":"McCord, S.E., Brehm, J.R., Condon, L.A., Dreesmann, L., Ellsworth, L., Germino, M., Herrick, J.E., Howard, B.K., Kachergis, E., Karl, J.W., Knight, A.C., Meadors, S., Nafus, A., Newingham, B.A., Olsoy, P.J., Pietrasiak, N., Pilliod, D., Schaefer, A., Webb, N.P., Wheeler, B.E., Williams, C., and Young, K., 2025, Evaluation of the gap intercept method to measure rangeland connectivity: Rangeland Ecology & Management, v. 98, p. 297-315, https://doi.org/10.1016/j.rama.2024.09.001.","productDescription":"19 p.","startPage":"297","endPage":"315","ipdsId":"IP-160407","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":466685,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rama.2024.09.001","text":"Publisher Index Page"},{"id":465152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"98","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McCord, Sarah E.","contributorId":195931,"corporation":false,"usgs":false,"family":"McCord","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":921069,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brehm, Joseph R.","contributorId":332303,"corporation":false,"usgs":false,"family":"Brehm","given":"Joseph","email":"","middleInitial":"R.","affiliations":[{"id":79446,"text":"USDA-ARS Jornada Experimental Range, PO Box 30003, MSC 3JER, Las Cruces, NM, 88003, USA; New Mexico State University, PO Box 30003, MSC 3JER, Las Cruces, NM, 88003, USA","active":true,"usgs":false}],"preferred":false,"id":921070,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Condon, Lea A. 0000-0002-9357-3881","orcid":"https://orcid.org/0000-0002-9357-3881","contributorId":202908,"corporation":false,"usgs":true,"family":"Condon","given":"Lea","email":"","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":921133,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dreesmann, Leah","contributorId":347220,"corporation":false,"usgs":false,"family":"Dreesmann","given":"Leah","email":"","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":921071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ellsworth, Lisa M.","contributorId":328375,"corporation":false,"usgs":false,"family":"Ellsworth","given":"Lisa M.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":921072,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":921073,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":921074,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Howard, Brian K. 0009-0001-8038-431X","orcid":"https://orcid.org/0009-0001-8038-431X","contributorId":347224,"corporation":false,"usgs":false,"family":"Howard","given":"Brian","email":"","middleInitial":"K.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":921075,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kachergis, Emily","contributorId":195930,"corporation":false,"usgs":false,"family":"Kachergis","given":"Emily","affiliations":[],"preferred":false,"id":921076,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Karl, Jason W.","contributorId":191703,"corporation":false,"usgs":false,"family":"Karl","given":"Jason","email":"","middleInitial":"W.","affiliations":[{"id":7045,"text":"USDA-ARS Jornada Experimental Range ","active":true,"usgs":false}],"preferred":false,"id":921077,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Knight, Anna C. 0000-0002-9455-2855","orcid":"https://orcid.org/0000-0002-9455-2855","contributorId":255113,"corporation":false,"usgs":true,"family":"Knight","given":"Anna","email":"","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":921078,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Meadors, Savannah","contributorId":347226,"corporation":false,"usgs":false,"family":"Meadors","given":"Savannah","email":"","affiliations":[{"id":12628,"text":"New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":921079,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nafus, Aleta","contributorId":167781,"corporation":false,"usgs":false,"family":"Nafus","given":"Aleta","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":true,"id":921080,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Newingham, Beth A.","contributorId":195932,"corporation":false,"usgs":false,"family":"Newingham","given":"Beth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":921081,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Olsoy, Peter J. 0000-0002-8785-0459","orcid":"https://orcid.org/0000-0002-8785-0459","contributorId":317761,"corporation":false,"usgs":false,"family":"Olsoy","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":921082,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Pietrasiak, Nicole","contributorId":174259,"corporation":false,"usgs":false,"family":"Pietrasiak","given":"Nicole","email":"","affiliations":[{"id":27402,"text":"Department of Biology, John Carroll University, University Heights, Ohio 4118","active":true,"usgs":false}],"preferred":false,"id":921083,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"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":921084,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Schaefer, Anthony","contributorId":347229,"corporation":false,"usgs":false,"family":"Schaefer","given":"Anthony","email":"","affiliations":[],"preferred":false,"id":921085,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Webb, Nicholas P.","contributorId":195924,"corporation":false,"usgs":false,"family":"Webb","given":"Nicholas","email":"","middleInitial":"P.","affiliations":[{"id":6973,"text":"USDA-ARS Jornada Experimental Range and Jornada Basin LTER, Las Cruces, NM; New Mexico State University, Dept. of Plant and Environmental Sciences, Las Cruces, NM","active":true,"usgs":false}],"preferred":false,"id":921086,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Wheeler, Brandi E.","contributorId":334182,"corporation":false,"usgs":false,"family":"Wheeler","given":"Brandi","email":"","middleInitial":"E.","affiliations":[{"id":80080,"text":"USDA-ARS Jornada Experimental Range, Las Cruces, NM, USA","active":true,"usgs":false}],"preferred":false,"id":921087,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Williams, C. Jason","contributorId":292512,"corporation":false,"usgs":false,"family":"Williams","given":"C. Jason","affiliations":[{"id":62926,"text":"Agricultural Research Service, U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":921088,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Young, Kristina E.","contributorId":195945,"corporation":false,"usgs":false,"family":"Young","given":"Kristina E.","affiliations":[],"preferred":false,"id":921089,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70261242,"text":"70261242 - 2025 - The ghost plume phenomenon and its impact on zenith-facing remote sensing measurements of volcanic SO2 emission rates","interactions":[],"lastModifiedDate":"2024-12-03T15:12:15.341309","indexId":"70261242","displayToPublicDate":"2024-11-26T09:07:04","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19844,"text":"Journal of Volcanology and Goethermal Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The ghost plume phenomenon and its impact on zenith-facing remote sensing measurements of volcanic SO<sub>2</sub> emission rates","title":"The ghost plume phenomenon and its impact on zenith-facing remote sensing measurements of volcanic SO2 emission rates","docAbstract":"<p><span>A large source of error in SO</span><sub>2</sub><span>&nbsp;emission rates derived from mobile Differential Optical Absorption Spectroscopy (DOAS) of volcanic gas plumes is the uncertainty in atmospheric light paths between the sun and the instrument, particularly under non-ideal atmospheric conditions, such as the presence of low clouds. DOAS instruments measure the SO</span><sub>2</sub><span>&nbsp;column density along the effective light path, so changes to that pathway directly affect the measured SO</span><sub>2</sub><span>&nbsp;signal. Due to complex radiative transfer mechanisms when a cloud is between the DOAS viewing position and a volcanic plume, measured plumes can appear spatially offset from their true location, a phenomenon informally referred to as “ghost plumes.” In addition to the appearance of ghost plumes, DOAS measurements recorded in non-ideal conditions have poorly characterized errors and are often discarded, limiting the data available to characterize volcanic degassing. In this study we simulate the radiative transfer associated with zenith-facing mobile DOAS traverses using the McArtim radiative transfer model for scenarios when there is a cloud layer between the instrument and the volcanic plume. In total, 217 permutations of atmospheric optical conditions are considered with varying cloud opacities (AOD&nbsp;=&nbsp;0, 1, 2, 4, 8, 20), plume opacities (AOD&nbsp;=&nbsp;0, 1, 2, 4, 8), solar zenith angles (SZA&nbsp;=&nbsp;1°, 30°, 60°), and cloud thicknesses (200, 400, 800&nbsp;m). We first develop objective criteria for selecting SO</span><sub>2</sub><span>&nbsp;baseline absorption levels and plume spatial extents. The simulated plume traverses are then integrated to obtain the SO</span><sub>2</sub><span>&nbsp;cross-sectional burdens which, after multiplication with the wind speed, yield SO</span><sub>2</sub><span>&nbsp;emission rates. We find large modification in the shape of the modeled cross-sectional burdens even under translucent (low AOD) cloud conditions in our modeled scenarios. Despite modification of the plume shape, the presence of a low cloud layer is typically not a large source of error in the SO</span><sub>2</sub><span>&nbsp;cross-sectional burden or emission rate obtained from zenith-facing DOAS traverses. We find that all measured cross-sectional burdens simulated using an aerosol-free plume in the above conditions and SZA&nbsp;≤&nbsp;30° are within ±25% of the true value.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2024.108217","usgsCitation":"Kushner, D., Lopez, T., Kern, C., Arellano, S., Perez, N.M., and Barrancos, J., 2025, The ghost plume phenomenon and its impact on zenith-facing remote sensing measurements of volcanic SO2 emission rates: Journal of Volcanology and Goethermal Research, v. 457, 108217, 9 p., https://doi.org/10.1016/j.jvolgeores.2024.108217.","productDescription":"108217, 9 p.","ipdsId":"IP-159740","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488997,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://research.chalmers.se/en/publication/543987","text":"Publisher Index Page"},{"id":464697,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"457","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kushner, D.S.","contributorId":346874,"corporation":false,"usgs":false,"family":"Kushner","given":"D.S.","email":"","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":920081,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lopez, T.M.","contributorId":346875,"corporation":false,"usgs":false,"family":"Lopez","given":"T.M.","email":"","affiliations":[{"id":6695,"text":"UAF","active":true,"usgs":false}],"preferred":false,"id":920082,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":920083,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arellano, Santiago","contributorId":205719,"corporation":false,"usgs":false,"family":"Arellano","given":"Santiago","affiliations":[{"id":37153,"text":"Department of Earth and Space Sciences – Chalmers University of Technology, Göteborg, Sweden","active":true,"usgs":false}],"preferred":false,"id":920084,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Perez, Nemesio M.","contributorId":177622,"corporation":false,"usgs":false,"family":"Perez","given":"Nemesio","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":920085,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barrancos, J","contributorId":346876,"corporation":false,"usgs":false,"family":"Barrancos","given":"J","email":"","affiliations":[{"id":83004,"text":"Instituto Volcanologico de Canarias","active":true,"usgs":false}],"preferred":false,"id":920086,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70265937,"text":"70265937 - 2025 - Population increases of the threatened American burying beetle (Nicrophorus americanus) linked to large-scale collaborations in a working lands ecoregion","interactions":[],"lastModifiedDate":"2025-04-22T17:39:21.057701","indexId":"70265937","displayToPublicDate":"2024-11-24T12:29:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Population increases of the threatened American burying beetle (<i>Nicrophorus americanus</i>) linked to large-scale collaborations in a working lands ecoregion","title":"Population increases of the threatened American burying beetle (Nicrophorus americanus) linked to large-scale collaborations in a working lands ecoregion","docAbstract":"<p><span>Woody plant encroachment and row-crop agricultural land conversion are existential threats to species that rely on grassland ecosystems. The American Burying Beetle (</span><i>Nicrophorus americanus</i><span>) is a threatened species whose largest remnant populations are predominantly located in grassland ecoregions comprised of privately-owned ranching lands. Here, we seek to determine functional scaling patterns and population trends of the American Burying Beetle in the face of conservation threats and grassland restoration. We used 13&nbsp;years (2007–2019) of American Burying Beetle abundance data collected from permanent sampling locations across the Loess Canyons ecoregion (Nebraska, USA), where a network of ranchers have been restoring large-scale grasslands. To estimate beetle abundance relative to land cover variables, we developed a Bayesian N-mixture model, incorporating the Bayesian latent indicator scale selection (BLISS) method to probabilistically determine at which scales land cover variables best explained beetle abundance. American Burying Beetle abundance exhibited high interannual variation but overall significantly increased across the ecoregion. Increases in beetle abundance were associated with large-scale (1149&nbsp;ha extent) grassland cover. Decreases in abundance were associated with large-scale crop conversion (590&nbsp;ha extent) and large-scale increases in woody cover (1149&nbsp;ha extent). This study provides the first evidence of ecoregion-scale population increases of the American Burying Beetle. These increases are tied to landscape variables that are managed in a large-scale, coordinated private lands grassland restoration effort. Our results suggest that successful grassland restoration will depend on coordinating across property boundaries to implement conservation at scales necessary to conserve species that require large-scale, unfragmented grasslands.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2024.110865","usgsCitation":"Roberts, C.P., Ludwig, A., Fogarty, D., Stuber, E.F., Uden, D., Walker, T., and Twidwell, D., 2025, Population increases of the threatened American burying beetle (Nicrophorus americanus) linked to large-scale collaborations in a working lands ecoregion: Biological Conservation, v. 301, 110865, 11 p., https://doi.org/10.1016/j.biocon.2024.110865.","productDescription":"110865, 11 p.","ipdsId":"IP-168131","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":484857,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Loess Canyons experimental landscape","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -101.28914746227895,\n              41.45522213058922\n            ],\n            [\n              -101.28914746227895,\n              40.41937056355326\n            ],\n            [\n              -99.7780551382092,\n              40.41937056355326\n            ],\n            [\n              -99.7780551382092,\n              41.45522213058922\n            ],\n            [\n              -101.28914746227895,\n              41.45522213058922\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"301","noUsgsAuthors":false,"publicationDate":"2024-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Roberts, Caleb Powell 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":288567,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","email":"","middleInitial":"Powell","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":934085,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ludwig, Alison K.","contributorId":353601,"corporation":false,"usgs":false,"family":"Ludwig","given":"Alison K.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":934086,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fogarty, Dillon T.","contributorId":353602,"corporation":false,"usgs":false,"family":"Fogarty","given":"Dillon T.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":934087,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stuber, Erica Francis 0000-0002-2687-6874","orcid":"https://orcid.org/0000-0002-2687-6874","contributorId":298084,"corporation":false,"usgs":true,"family":"Stuber","given":"Erica","email":"","middleInitial":"Francis","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":934088,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Uden, Daniel R.","contributorId":353603,"corporation":false,"usgs":false,"family":"Uden","given":"Daniel R.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":934089,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walker, Thomas L. Jr.","contributorId":353604,"corporation":false,"usgs":false,"family":"Walker","given":"Thomas L.","suffix":"Jr.","affiliations":[{"id":17640,"text":"Nebraska Game and Parks Commission","active":true,"usgs":false}],"preferred":false,"id":934090,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Twidwell, Dirac","contributorId":353605,"corporation":false,"usgs":false,"family":"Twidwell","given":"Dirac","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":934091,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70271137,"text":"70271137 - 2025 - Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States","interactions":[],"lastModifiedDate":"2025-08-28T15:23:30.407508","indexId":"70271137","displayToPublicDate":"2024-11-24T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States","docAbstract":"<p><span>In water-limited dryland ecosystems of the Western United States, climate change is intensifying the impacts of heat, drought, and wildfire. Disturbances often lead to increased abundance of invasive species, in part, because dryland restoration and rehabilitation are inhibited by limited moisture and infrequent plant recruitment events. Information on ecological resilience to disturbance (recovery potential) and resistance to invasive species can aid in addressing these challenges by informing long-term restoration and conservation planning. Here, we quantified the impacts of projected future climate on ecological resilience and invasion resistance&nbsp;(R&amp;R) in the sagebrush region using novel algorithms based on ecologically relevant and climate-sensitive predictors of climate and ecological drought. We used a process-based ecohydrological model to project these predictor variables and resulting R&amp;R indicators for two future climate scenarios and 20 climate models. Results suggested widespread future R&amp;R decreases (24%–34% of the 1.16 million km</span><sup>2</sup><span>&nbsp;study area) that are generally consistent among climate models. Variables related to rising temperatures were most strongly linked to decreases in R&amp;R indicators. New continuous R&amp;R indices quantified responses to climate change; particularly useful for areas without projected change in the R&amp;R category but where R&amp;R still may decrease, for example, some of the areas with a historically low R&amp;R category. Additionally, we found that areas currently characterized as having high sagebrush ecological integrity had the largest areal percentage with expected declines in R&amp;R in the future, suggesting continuing declines in sagebrush ecosystems. One limitation of these R&amp;R projections was relatively novel future climatic conditions in particularly hot and dry areas that were underrepresented in the training data. Including more data from these areas in future updates could further improve the reliability of the projections. Overall, these projected future declines in R&amp;R highlight a growing challenge for natural resource managers in the region, and the resulting spatially explicit datasets provide information that can improve long-term risk assessments, prioritizations, and climate adaptation efforts.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.3065","usgsCitation":"Schlaepfer, D.R., Chambers, J., Urza, A.K., Hanberry, B.B., Brown, J.L., Board, D.I., Campbell, S.B., Clause, K.J., Crist, M.R., and Bradford, J.B., 2025, Declining ecological resilience and invasion resistance under climate change in the sagebrush region, United States: Ecological Applications, v. 35, no. 1, e3065, 22 p., https://doi.org/10.1002/eap.3065.","productDescription":"e3065, 22 p.","ipdsId":"IP-158663","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":495009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.42794589746886,\n              49.014637994301935\n            ],\n            [\n              -119.90978156132392,\n              36.70243517332828\n            ],\n            [\n              -116.74229497105136,\n              35.570259676514176\n            ],\n            [\n              -111.57726471396826,\n              36.555490134719435\n            ],\n            [\n              -105.91156612900402,\n              33.92801205884358\n            ],\n            [\n              -102.5499905132619,\n              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0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chambers, Jeanne C.","contributorId":75889,"corporation":false,"usgs":false,"family":"Chambers","given":"Jeanne C.","affiliations":[],"preferred":false,"id":947551,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Urza, Alexandra K. 0000-0001-9795-6735","orcid":"https://orcid.org/0000-0001-9795-6735","contributorId":261259,"corporation":false,"usgs":false,"family":"Urza","given":"Alexandra","email":"","middleInitial":"K.","affiliations":[{"id":16848,"text":"USDA Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":947552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hanberry, Brice B. 0000-0001-8657-9540","orcid":"https://orcid.org/0000-0001-8657-9540","contributorId":229364,"corporation":false,"usgs":false,"family":"Hanberry","given":"Brice","email":"","middleInitial":"B.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":947553,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Jessi L. 0000-0002-6126-7951","orcid":"https://orcid.org/0000-0002-6126-7951","contributorId":360732,"corporation":false,"usgs":false,"family":"Brown","given":"Jessi","middleInitial":"L.","affiliations":[{"id":82408,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947554,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Board, David I. 0000-0001-6140-1260","orcid":"https://orcid.org/0000-0001-6140-1260","contributorId":360734,"corporation":false,"usgs":false,"family":"Board","given":"David","middleInitial":"I.","affiliations":[{"id":82408,"text":"USDA Forest Service, Rocky Mountain Research Station, Reno, Nevada U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947555,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Campbell, Steven B. 0009-0002-9710-9688","orcid":"https://orcid.org/0009-0002-9710-9688","contributorId":360736,"corporation":false,"usgs":false,"family":"Campbell","given":"Steven","middleInitial":"B.","affiliations":[{"id":86091,"text":"USDA Natural Resources Conservation Service, West National Technology Support Center, Portland, Oregon U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947556,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Clause, Karen J.","contributorId":360737,"corporation":false,"usgs":false,"family":"Clause","given":"Karen","middleInitial":"J.","affiliations":[{"id":86093,"text":"USDA Natural Resources Conservation Service, Pinedale, Wyoming U.S.A.","active":true,"usgs":false}],"preferred":false,"id":947557,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Crist, Michele R. 0000-0002-3506-3402","orcid":"https://orcid.org/0000-0002-3506-3402","contributorId":360738,"corporation":false,"usgs":false,"family":"Crist","given":"Michele","middleInitial":"R.","affiliations":[{"id":86094,"text":"U.S. Bureau of Land Management, National Interagency Fire Center, Boise, Idaho","active":true,"usgs":false}],"preferred":false,"id":947558,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bradford, John B. 0000-0001-9257-6303 jbradford@usgs.gov","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":222784,"corporation":false,"usgs":true,"family":"Bradford","given":"John","email":"jbradford@usgs.gov","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":947559,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70257548,"text":"70257548 - 2025 - High variability of migration strategies in a re-established Cygnus buccinator (Trumpeter Swan) population","interactions":[],"lastModifiedDate":"2025-06-12T15:24:51.105385","indexId":"70257548","displayToPublicDate":"2024-11-22T10:17:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10109,"text":"Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"High variability of migration strategies in a re-established <i>Cygnus buccinator</i> (Trumpeter Swan) population","title":"High variability of migration strategies in a re-established Cygnus buccinator (Trumpeter Swan) population","docAbstract":"<p><span>The Interior Population (IP) of&nbsp;</span><i>Cygnus buccinator</i><span>&nbsp;(Trumpeter Swan), formerly extirpated by market hunting, was re-established in eastern North America by releasing individuals from both migratory and non-migratory populations. Their current annual movement patterns are largely unknown. We deployed 113 GPS-GSM transmitters on IP&nbsp;</span><i>C. buccinator</i><span>&nbsp;in 6 U.S. states and 1 Canadian province across the current IP breeding range. Using data from 252 “swan-years”, we estimated migration phenology using piecewise regression models fit to each yearly time-series of displacement from the breeding site. We fit a latent-state model to characterize population-level associations between breeding latitude and maximum extent of migration, and linear mixed models to quantify associations between individual characteristics (e.g., breeding status, sex) and migration phenology. At the individual level, 59% of swans moved to distant nonbreeding-period areas (long-distance migration, defined as moving &gt;100 km from the breeding site), 16% exhibited regional migration (25–100 km from breeding site), 19% exhibited non-migratory but local movements (&lt;25 km from breeding site), and 6% exhibited multiple migration strategies. Swans breeding at more-northern latitudes departed their territories earlier in autumn, returned later in the spring, and migrated farther from their breeding territories than those breeding at more southern latitudes. Although the population-level association between migration extent and breeding latitude was positive, some individuals remained close to the location of their breeding site during the nonbreeding period. Breeding swans departed later in the autumn than non-breeders, but breeding status did not have a strong association with arrival in the spring. IP&nbsp;</span><i>C. buccinator</i><span>&nbsp;are partial migrants, with a continuum of strategies that vary latitudinally, from local movements to long-distance migration. Much of the variability in movement patterns related to factors tied to natural history demands (e.g., breeding status) and response to environmental conditions (e.g., through associations with breeding latitude).</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithology/ukae059","usgsCitation":"Wolfson, D., Knapik, R., Buckardt Thomas, A., Harms, T., Kearns, L., Kiss, B., Poole, T., Fowler, D., Finger, T.A., Matteson, S.W., Moriarty, J., Mayo, T., Smith, M., Herwig, C., Andersen, D.E., and Fieberg, J.R., 2025, High variability of migration strategies in a re-established Cygnus buccinator (Trumpeter Swan) population: Ornithology, v. 142, no. 2, ukae059, 12 p., https://doi.org/10.1093/ornithology/ukae059.","productDescription":"ukae059, 12 p.","ipdsId":"IP-163003","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":465487,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466748,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithology/ukae059","text":"Publisher Index Page"}],"volume":"142","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wolfson, David W.","contributorId":244928,"corporation":false,"usgs":false,"family":"Wolfson","given":"David W.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":910783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knapik, Randall T.","contributorId":343307,"corporation":false,"usgs":false,"family":"Knapik","given":"Randall T.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buckardt Thomas, Anna","contributorId":343310,"corporation":false,"usgs":false,"family":"Buckardt Thomas","given":"Anna","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910785,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harms, Tyler M.","contributorId":343314,"corporation":false,"usgs":false,"family":"Harms","given":"Tyler M.","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910786,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kearns, Laura","contributorId":340996,"corporation":false,"usgs":false,"family":"Kearns","given":"Laura","email":"","affiliations":[{"id":81690,"text":"Ohio Department of Natural Resources – Division of Wildlife","active":true,"usgs":false}],"preferred":false,"id":910787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kiss, Brian W.","contributorId":343320,"corporation":false,"usgs":false,"family":"Kiss","given":"Brian W.","affiliations":[{"id":82070,"text":"Manitoba Department of Economic Development, Investment, Trade, and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910788,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poole, Timothy F.","contributorId":343321,"corporation":false,"usgs":false,"family":"Poole","given":"Timothy F.","affiliations":[{"id":82070,"text":"Manitoba Department of Economic Development, Investment, Trade, and Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910789,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fowler, Drew Nathan 0000-0001-9347-4579","orcid":"https://orcid.org/0000-0001-9347-4579","contributorId":341123,"corporation":false,"usgs":true,"family":"Fowler","given":"Drew Nathan","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":922413,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Finger, Taylor A.","contributorId":176345,"corporation":false,"usgs":false,"family":"Finger","given":"Taylor","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":910791,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Matteson, Sumner W.","contributorId":340998,"corporation":false,"usgs":false,"family":"Matteson","given":"Sumner","email":"","middleInitial":"W.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910792,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moriarty, John J.","contributorId":343324,"corporation":false,"usgs":false,"family":"Moriarty","given":"John J.","affiliations":[{"id":82073,"text":"Three Rivers Park District","active":true,"usgs":false}],"preferred":false,"id":910793,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mayo, Tiffany","contributorId":343325,"corporation":false,"usgs":false,"family":"Mayo","given":"Tiffany","affiliations":[{"id":82074,"text":"Cleveland Metroparks Zoo","active":true,"usgs":false}],"preferred":false,"id":910794,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Smith, Margaret","contributorId":343326,"corporation":false,"usgs":false,"family":"Smith","given":"Margaret","affiliations":[{"id":82075,"text":"Trumpeter Swan Society","active":true,"usgs":false}],"preferred":false,"id":910795,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Herwig, Christine M.","contributorId":343327,"corporation":false,"usgs":false,"family":"Herwig","given":"Christine M.","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":910796,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922414,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Fieberg, John R. 0000-0002-3180-7021","orcid":"https://orcid.org/0000-0002-3180-7021","contributorId":194333,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":910798,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70261116,"text":"70261116 - 2025 - A transferable approach for quantifying benthic fish sizes and densities in annotated underwater images","interactions":[],"lastModifiedDate":"2025-01-13T16:20:11.720742","indexId":"70261116","displayToPublicDate":"2024-11-21T08:11:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A transferable approach for quantifying benthic fish sizes and densities in annotated underwater images","docAbstract":"<p>1. Benthic fishes are a common target of scientific monitoring but are difficult to quantify because of their close association to bottom habitats that are hard to access. Advances in image-acquisition technologies, machine vision, and deep learning have made capturing and quantifying fishes with cameras increasingly feasible. We present a method and open-source software called ‘FishScale’ to estimate benthic fish lengths, numeric abundance, and biomass density in underwater environments assessed with down-looking monocular images. </p><p>2. ‘FishScale’ estimates fish abundances and size frequencies from near-nadir monocular images where fish have already been semantically segmented. The software accounts for lens distortion, underwater magnification effects, and fish body curvature to automatically estimate fish lengths and the areas of images where they were captured. Numeric and biomass density are estimated through a deterministic machine vision algorithm that requires a user-provided length-weight relationship for species of interest and calibration images. </p><p>3. Results from validation studies show that lengths and weights can be estimated with high accuracy and precision for round goby (<i>Neogobius melanostomus</i>) captured in distorted action camera images, and from large-bodied lake trout (<i>Salvelinus namaycush</i>) imaged with a machine vision camera. The real-world utility of the approach is demonstrated in a case study estimating round goby abundances and size frequencies along a 10.7-km transect surveyed with an autonomous underwater vehicle in Lake Michigan, USA. </p><p>4. Our validation studies demonstrate that the approach estimates benthic and benthopelagic fish lengths and weights with little bias and good accuracy and precision for species with much different body shapes and sizes. The method is applicable to data collected using a variety of nadir imaging approaches with widespread applications to fisheries monitoring and quantification of any species or object for which nadir images and working distances between the camera and feature of interest are available.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.14453","usgsCitation":"Esselman, P.C., Moradi, S., Geisz, J.K., and Roussi, C., 2025, A transferable approach for quantifying benthic fish sizes and densities in annotated underwater images: Methods in Ecology and Evolution, v. 16, no. 1, p. 145-159, https://doi.org/10.1111/2041-210X.14453.","productDescription":"15 p.","startPage":"145","endPage":"159","ipdsId":"IP-132466","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":466686,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.14453","text":"Publisher Index Page"},{"id":466452,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13QVR2R","text":"USGS data release","linkHelpText":"FishScale"},{"id":464463,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Michigan, Wisconsin","otherGeospatial":"Lake Michigan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.44954986437058,\n              45.79365704611857\n            ],\n            [\n              -88.27475541132564,\n              44.16814114178051\n            ],\n            [\n              -88.0092703926447,\n              42.701569303239616\n            ],\n            [\n              -87.68751722190896,\n              41.624028632419794\n            ],\n            [\n              -86.36553765374144,\n              41.63295180048564\n            ],\n            [\n              -85.83690337498572,\n              42.86335985317472\n            ],\n            [\n              -86.0486664314116,\n              44.084867584867666\n            ],\n            [\n              -84.79565964117464,\n              46.01898404311527\n            ],\n            [\n              -85.98754537346298,\n              46.05276165976035\n            ],\n            [\n              -87.44954986437058,\n              45.79365704611857\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-11-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Esselman, Peter C. 0000-0002-0085-903X pesselman@usgs.gov","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":346494,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter","email":"pesselman@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":919341,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moradi, Shadi 0000-0002-9120-8952","orcid":"https://orcid.org/0000-0002-9120-8952","contributorId":342265,"corporation":false,"usgs":false,"family":"Moradi","given":"Shadi","email":"","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":919342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Geisz, Joseph K. 0000-0001-6783-7057","orcid":"https://orcid.org/0000-0001-6783-7057","contributorId":342270,"corporation":false,"usgs":false,"family":"Geisz","given":"Joseph","email":"","middleInitial":"K.","affiliations":[{"id":16203,"text":"Michigan Technological university","active":true,"usgs":false}],"preferred":false,"id":919343,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roussi, Christopher","contributorId":346495,"corporation":false,"usgs":false,"family":"Roussi","given":"Christopher","email":"","affiliations":[{"id":34530,"text":"Michigan Tech Research Institute","active":true,"usgs":false}],"preferred":false,"id":919344,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267754,"text":"70267754 - 2025 - A ‘how-to’ guide for estimating animal diel activity using hierarchical models","interactions":[],"lastModifiedDate":"2025-05-30T15:36:23.008094","indexId":"70267754","displayToPublicDate":"2024-11-19T10:33:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A ‘how-to’ guide for estimating animal diel activity using hierarchical models","docAbstract":"<ol class=\"\"><li>Animal diel activity patterns can aid understanding of (a) how species behaviourally adapt to anthropogenic and natural disturbances, (b) mechanisms of species co-existence through temporal partitioning, and (c) community or ecosystem effects of diel activity shifts.</li><li>Activity patterns often vary spatially, a feature ignored by the kernel density estimators (KDEs) currently used for estimating diel activity. Ignoring this source of heterogeneity may lead to biased estimates of uncertainty and misleading conclusions regarding the drivers of diel activity. Thus, there is a need for more flexible statistical approaches for estimating activity patterns and testing hypotheses regarding their biotic and abiotic drivers.</li><li>We illustrate how trigonometric terms and cyclic cubic splines combined with hierarchical models can provide a valuable alternative to KDEs. Like KDEs, these models accommodate circular data, but they can also account for site-to-site and other sources of variability, correlation amongst repeated measures, and variable sampling effort. They can also more readily quantify and test hypotheses related to the effects of covariates on activity patterns.</li><li>Through empirical case studies, we illustrate how hierarchical models can quantify changes in activity levels due to seasonality and in response to biotic and abiotic factors (e.g. anthropogenic stressors and co-occurrence). We also describe frequentist and Bayesian approaches for quantifying site-specific (conditional) and population-averaged (marginal) activity patterns.</li><li>We provide guidelines and tutorials with detailed step-by-step instructions for fitting and interpreting hierarchical models applied to time-stamped data, such as those recorded by camera traps and audio recorders. We conclude that this approach offers a viable, flexible, and effective alternative to KDEs when modelling animal activity patterns.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.14213","usgsCitation":"Iannarilli, F., Gerber, B., Erb, J., and Fieberg, J.R., 2025, A ‘how-to’ guide for estimating animal diel activity using hierarchical models: Journal of Animal Ecology, v. 94, no. 2, p. 182-194, https://doi.org/10.1111/1365-2656.14213.","productDescription":"13 p.","startPage":"182","endPage":"194","ipdsId":"IP-166204","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490642,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.14213","text":"Publisher Index Page"},{"id":489264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"94","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-11-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Iannarilli, Fabiola","contributorId":244934,"corporation":false,"usgs":false,"family":"Iannarilli","given":"Fabiola","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":938740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gerber, Brian Daniel 0000-0001-9285-9784","orcid":"https://orcid.org/0000-0001-9285-9784","contributorId":354265,"corporation":false,"usgs":true,"family":"Gerber","given":"Brian Daniel","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Erb, John","contributorId":170057,"corporation":false,"usgs":false,"family":"Erb","given":"John","email":"","affiliations":[],"preferred":false,"id":938742,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fieberg, John R. 0000-0002-3180-7021","orcid":"https://orcid.org/0000-0002-3180-7021","contributorId":194333,"corporation":false,"usgs":false,"family":"Fieberg","given":"John","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":938743,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263622,"text":"70263622 - 2025 - On algorithmically determined versus traditional macroseismic intensity assignments","interactions":[],"lastModifiedDate":"2025-05-12T15:39:24.317133","indexId":"70263622","displayToPublicDate":"2024-11-18T09:26:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"On algorithmically determined versus traditional macroseismic intensity assignments","docAbstract":"<p><span>The utility of macroseismic data, defined as the effects of earthquakes on humans and the built environment, has been increasingly recognized following the advent of online systems that now produce unprecedented volumes of macroseismic intensity information. Contributed reports from the U.S. Geological Survey “Did You Feel It?” (DYFI) system (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf47\">Wald<span>&nbsp;</span><i>et&nbsp;al</i>., 1999</a><span>) are used to generate intensity values with an algorithm based on seminal work by&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf13\">Dengler and Dewey (1998)</a><span>. The algorithm was developed initially to reproduce intensity values assigned by expert opinion using questionnaire results collected by telephone survey. In this article, I discuss reasons why intensity values from (self‐selected) DYFI responses can differ from values that would be assigned by expert opinion given more complete data from randomly selected participants. For example, with the data used by&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf13\">Dengler and Dewey (1998)</a><span>, intensities near 4 could be determined from the percentage of people who felt shaking in each town. With less spatially rich data from self‐selected participants, this percentage often cannot be determined reliably. Audible noises are key additional diagnostic criteria for modified Mercalli intensity (MMI) 4, but, although the DYFI system includes a question about noise, following&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf13\">Dengler and Dewey (1998)</a><span>, the DYFI algorithm does not include a noise indicator. At the upper end of the scale, as defined the DYFI algorithm yields a maximum intensity value of 9.05, nominally corresponding to peak ground acceleration of 75%</span><i>g</i><span>. These and other factors can result in DYFI values that are low compared to traditional MMI values assigned using expert opinion, even absent factors that can bias traditional MMI assignments. Modern ground‐motion intensity conversion equations determined using DYFI intensities are expected to be appropriate for DYFI intensities, but the results of this study suggest that biases may be introduced if DYFI and traditional intensities are assumed to be interchangeable.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240266","usgsCitation":"Hough, S.E., 2025, On algorithmically determined versus traditional macroseismic intensity assignments: Seismological Research Letters, v. 96, no. 3, p. 1875-1885, https://doi.org/10.1785/0220240266.","productDescription":"11 p.","startPage":"1875","endPage":"1885","ipdsId":"IP-170826","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":482158,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927598,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70263705,"text":"70263705 - 2025 - Estimation of contact time among animals from telemetry data","interactions":[],"lastModifiedDate":"2025-04-28T14:59:50.353412","indexId":"70263705","displayToPublicDate":"2024-11-14T13:13:55","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20078,"text":"The American Statistician","active":true,"publicationSubtype":{"id":10}},"title":"Estimation of contact time among animals from telemetry data","docAbstract":"<p>Continuous processes in most applications are measured discretely with error. This complicates the task of detecting intersections and the number of intersections between two continuous processes (i.e., when the processes have the same value). Intersections of continuous processes are scientifically important but challenging to estimate from data. For example, in the field of animal ecology, intersections of the paths of moving animals tracked with satellite technologies can be used to understand disease transmission. We illustrate how to quantify contact between animals using telemetry data (i.e., the recorded locations of an animal over time). We introduce our method to quantify contact time with accessible concepts from introductory stochastic process literature, such as Brownian motion. Then, we provide two data examples using white-tailed deer (<i>Odocoileus virginianus</i>) and mule deer (<i>Odocoileus hemionus)</i> telemetry data in a region with high prevalence of chronic wasting disease. Our work provides a needed connection between existing model-based literature for animal movement and rule-based literature for animal interaction. Further, our work illustrates a unique statistical problem receiving minimal attention with broad applicability in human and livestock tracking.&nbsp;</p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/00031305.2024.2402264","usgsCitation":"Whetten, A., Hefley, T., and Haukos, D.A., 2025, Estimation of contact time among animals from telemetry data: The American Statistician, v. 79, no. 2, p. 265-274, https://doi.org/10.1080/00031305.2024.2402264.","productDescription":"10 p.","startPage":"265","endPage":"274","ipdsId":"IP-156550","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":487815,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00031305.2024.2402264","text":"Publisher Index Page"},{"id":482301,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"79","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Whetten, Andrew B.","contributorId":351104,"corporation":false,"usgs":false,"family":"Whetten","given":"Andrew B.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":927906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hefley, Trevor J.","contributorId":351105,"corporation":false,"usgs":false,"family":"Hefley","given":"Trevor J.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":927907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":927908,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70261912,"text":"70261912 - 2025 - Phytoplankton assemblage structure, drivers, and thresholds with a focus on harmful algal bloom ecology in the Lake Okeechobee system, Florida, USA","interactions":[],"lastModifiedDate":"2025-02-24T16:56:37.298498","indexId":"70261912","displayToPublicDate":"2024-11-09T09:17:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1878,"text":"Harmful Algae","active":true,"publicationSubtype":{"id":10}},"title":"Phytoplankton assemblage structure, drivers, and thresholds with a focus on harmful algal bloom ecology in the Lake Okeechobee system, Florida, USA","docAbstract":"<p><span>Untangling the complexities of harmful algal bloom (HAB) dynamics is an ongoing effort that requires a fundamental understanding of spatiotemporal phytoplankton patterns and the environmental filters through which assemblages are structured. To this aim, monthly field surveys were conducted from 2019 to 2021 at 21 sites in Lake Okeechobee, Florida – a large, shallow, eutrophic, and heavily managed lake with coastal connectivity that experiences intense and recurrent HABs. Phytoplankton assemblages were strongly spatially structured forming 7 distinct lake zones with significant dissimilarity in composition and total abundance. While successional patterns were not apparent across seasons or wet/dry periods, total phytoplankton abundance was significantly greater towards the end of the wet season. Distance-based linear models using 16 abiotic variables were used to identify significant explanatory variables of spatial and temporal patterns. The spatial model explained 93 % of the variability suggesting deterministic processes largely control spatial patterns. The temporal model explained only 48 % of the temporal variability suggesting stochasticity in lake-wide shifts in assemblages over time. However, the strong spatial structuring of assemblages may preclude lake-wide succession patterns. Total algal abundance metrics were inversely related to nitrate, orthophosphate, and total alkalinity, the strongest explanatory variables of assemblage patterns, suggesting a lag between peak resources and peak abundance as phytoplankton cycle “boom-to-bust” phases. Consistent with this inverse relationship, Threshold Indicator Taxa Analysis returned almost exclusively negative responder indicator taxa for all three explanatory variable gradients. The assemblage-level threshold defined the gradient boundary between boom- and bust-associated indicator taxa. These data contribute novel information about HABs ecology pertinent to management strategies.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.hal.2024.102744","usgsCitation":"Mazzei, V., Sullivan, K., and Loftin, K.A., 2025, Phytoplankton assemblage structure, drivers, and thresholds with a focus on harmful algal bloom ecology in the Lake Okeechobee system, Florida, USA: Harmful Algae, v. 142, 102744, 13 p., https://doi.org/10.1016/j.hal.2024.102744.","productDescription":"102744, 13 p.","ipdsId":"IP-146701","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":465632,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466773,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.hal.2024.102744","text":"Publisher Index Page"}],"country":"United States","state":"Florida","otherGeospatial":"Lake Okeechobee system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.66061775922876,\n              27.44853642210407\n            ],\n            [\n              -81.66061775922876,\n              26.38819227625035\n            ],\n            [\n              -80.19074720470665,\n              26.38819227625035\n            ],\n            [\n              -80.19074720470665,\n              27.44853642210407\n            ],\n            [\n              -81.66061775922876,\n              27.44853642210407\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"142","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Mazzei, Viviana 0000-0001-8614-0693 vmazzei@usgs.gov","orcid":"https://orcid.org/0000-0001-8614-0693","contributorId":296094,"corporation":false,"usgs":true,"family":"Mazzei","given":"Viviana","email":"vmazzei@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922254,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Kristy Lee 0000-0003-1139-1222","orcid":"https://orcid.org/0000-0003-1139-1222","contributorId":296093,"corporation":false,"usgs":true,"family":"Sullivan","given":"Kristy Lee","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922255,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":922256,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70260206,"text":"70260206 - 2025 - Twentieth century extreme precipitation detected in a high-resolution, coastal lake-sediment record from California","interactions":[],"lastModifiedDate":"2025-01-27T16:28:15.877265","indexId":"70260206","displayToPublicDate":"2024-10-29T08:15:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2411,"text":"Journal of Paleolimnology","active":true,"publicationSubtype":{"id":10}},"title":"Twentieth century extreme precipitation detected in a high-resolution, coastal lake-sediment record from California","docAbstract":"<p><span>California faces increasing economic and societal risks from extreme precipitation and flooding associated with atmospheric rivers (ARs) under projected twenty-first century climate warming. Lake sediments can retain signals of past extreme precipitation events, allowing reconstructions beyond the period of instrumental records. Here, we calibrate AR-related extreme precipitation from the last century to proxy data from lake sediments collected in the latitudinal zone of the highest frequency landfall for modern ARs in California. Excursions in erosional proxy data (Ti/Al) are positively and significantly correlated (r</span><sub><i>median</i></sub><span> = 0.45, p</span><sub><i>median</i></sub><span> = 0.04) with modern records of integrated vapor transport (IVT, kg&nbsp;m</span><sup>−1</sup><span>&nbsp;s</span><sup>−1</sup><span>), a key metric of AR intensity, using correlations that incorporate age-model uncertainty. Despite the land-use change near the study site, the data suggest intense and long-lasting AR storms are identifiable in this sedimentary record. These results allow conservative inferences concerning past extreme hydrology at this site.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10933-024-00345-9","usgsCitation":"Knight, C.A., Wahl, D., Addison, J.A., Baskaran, M., Anderson, R., Champagne, M.R., Anderson, L., Presnetsova, L.S., Caissie, B.E., and Starratt, S.W., 2025, Twentieth century extreme precipitation detected in a high-resolution, coastal lake-sediment record from California: Journal of Paleolimnology, v. 73, p. 35-51, https://doi.org/10.1007/s10933-024-00345-9.","productDescription":"17 p.","startPage":"35","endPage":"51","ipdsId":"IP-167936","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":489794,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10933-024-00345-9","text":"Publisher Index Page"},{"id":463427,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Wildcat Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.77594069138576,\n              37.97415142373998\n            ],\n            [\n              -122.78933940359585,\n              37.97415142373998\n            ],\n            [\n              -122.78933940359585,\n              37.965032541085534\n            ],\n            [\n              -122.77594069138576,\n              37.965032541085534\n            ],\n            [\n              -122.77594069138576,\n              37.97415142373998\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"73","noUsgsAuthors":false,"publicationDate":"2024-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Knight, Clarke Alexandra 0000-0003-0002-6959","orcid":"https://orcid.org/0000-0003-0002-6959","contributorId":288487,"corporation":false,"usgs":true,"family":"Knight","given":"Clarke","email":"","middleInitial":"Alexandra","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917409,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wahl, David 0000-0002-0451-3554","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":206113,"corporation":false,"usgs":true,"family":"Wahl","given":"David","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917410,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Addison, Jason A. 0000-0003-2416-9743 jaddison@usgs.gov","orcid":"https://orcid.org/0000-0003-2416-9743","contributorId":4192,"corporation":false,"usgs":true,"family":"Addison","given":"Jason","email":"jaddison@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917411,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baskaran, Mark","contributorId":87867,"corporation":false,"usgs":false,"family":"Baskaran","given":"Mark","email":"","affiliations":[{"id":7147,"text":"Wayne State University","active":true,"usgs":false}],"preferred":false,"id":917412,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, R. Scott","contributorId":6983,"corporation":false,"usgs":false,"family":"Anderson","given":"R. Scott","affiliations":[{"id":7034,"text":"School of Earth Sciences and Environmental Sustainability at Northern Arizona University, in Flagstaff","active":true,"usgs":false}],"preferred":false,"id":917413,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Champagne, Marie Rhondelle 0000-0001-8236-3910","orcid":"https://orcid.org/0000-0001-8236-3910","contributorId":248214,"corporation":false,"usgs":true,"family":"Champagne","given":"Marie","email":"","middleInitial":"Rhondelle","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917414,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Anderson, Lysanna 0000-0001-5650-9744 landerson@usgs.gov","orcid":"https://orcid.org/0000-0001-5650-9744","contributorId":5339,"corporation":false,"usgs":true,"family":"Anderson","given":"Lysanna","email":"landerson@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917415,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Presnetsova, Liubov S. 0000-0002-1351-8541 lpresnetsova@usgs.gov","orcid":"https://orcid.org/0000-0002-1351-8541","contributorId":296053,"corporation":false,"usgs":true,"family":"Presnetsova","given":"Liubov","email":"lpresnetsova@usgs.gov","middleInitial":"S.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917416,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Caissie, Beth Elaine 0000-0001-9587-1842","orcid":"https://orcid.org/0000-0001-9587-1842","contributorId":292500,"corporation":false,"usgs":true,"family":"Caissie","given":"Beth","email":"","middleInitial":"Elaine","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917417,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Starratt, Scott W. 0000-0001-9405-1746 sstarrat@usgs.gov","orcid":"https://orcid.org/0000-0001-9405-1746","contributorId":2891,"corporation":false,"usgs":true,"family":"Starratt","given":"Scott","email":"sstarrat@usgs.gov","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":917418,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70263375,"text":"70263375 - 2025 - Timing and geometry of the Chemehuevi Formation reveal a late Pleistocene sediment pulse into the Lower Colorado River","interactions":[],"lastModifiedDate":"2025-03-11T15:02:17.928143","indexId":"70263375","displayToPublicDate":"2024-10-28T16:20:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Timing and geometry of the Chemehuevi Formation reveal a late Pleistocene sediment pulse into the Lower Colorado River","docAbstract":"<p>The Chemehuevi Formation is a distinctive 50−150-m-thick wedge-shaped Pleistocene sedimentary unit deposited by the Colorado River. It lines the perimeters of the river’s floodplains and bedrock canyons for more than 600 km between the mouth of the Grand Canyon and the delta region in the Gulf of California. The formation is composed of a basal tan to light-yellowish-brown and pale-orange mud-dominated facies overlain and interbedded by a light-yellow-brown sand-dominated facies. The unit is one of two extensively exposed aggradational packages in the Lower Colorado River corridor, in addition to a series of other smaller alluvial terrace deposits. The Chemehuevi Formation appears to represent the response of a fully integrated Colorado River system to a significant perturbation, in contrast to the Bullhead Alluvium, which is likely a unique result of Pliocene river integration. The aggradation of the Chemehuevi Formation in the Lower Colorado River corridor may be similarly due to a unique event in the Colorado River system, or it may instead be a well-preserved sedimentary sequence recording typical behavior of the Colorado River below the Grand Canyon in the late Pleistocene. As such, multiple causal mechanisms have been proposed, but no study to date has conclusively explained the Chemehuevi Formation.</p><p>To help resolve its timing, duration, and origin, we applied post-infrared infrared stimulated luminescence, carbonate U-Th series, and zircon sensitive high-resolution ion microprobe U-Th series geochronology to determine the ages of key exposures of the unit over a wide spatial area. These new data demonstrate that the Chemehuevi Formation was deposited ca. 110−90 ka. The depositional ages collectively overlap, suggesting that deposition occurred rapidly relative to the resolution of the geochronometers. The new depositional timing coincides with a shift from glacial to interglacial conditions after the marine isotope stage 5-6 transition. This observation is consistent with a climate-induced sediment pulse as a causal mechanism, yet correlations with similar deposits in the Colorado River headwaters or in neighboring catchments appear elusive. Potentially, climate transitions between glacial and interglacial periods induced a sediment pulse from hillslopes of the Colorado River system that resulted in the Chemehuevi Formation. An alternative or additional explanation is that the Chemehuevi Formation represents release of lava dam−impounded sediment in the Grand Canyon. The surface geometry of the Chemehuevi Formation projects upstream to the approximate location of lava dams, and the largest possible lava dam impoundment (the Upper Prospect dam) is comparable in volume to the formation. The lava dam hypothesis appears to be a possible explanation for the Chemehuevi Formation. However, tying deposition to a specific lava dam or series of lava dams remains challenging due to discrepancies in timing and volume. The combined effects of a series of lava dams may have led to the Chemehuevi Formation, as the last Pleistocene lava dam eruption coincides with the onset of deposition. Alternatively, the formation may result from the combined effects of both regional climate transitions and the lava dams that created a transient reservoir to compound a climate transition−driven sediment pulse. The geochronologic data presented here do not allow us to distinguish between the lava dam or climate transition hypotheses but will need to be reconciled with any future proposed depositional model.</p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/B37579.1","usgsCitation":"Gray, H., House, K., Hudson, A.M., Vazquez, J.A., Crow, R.S., Primus, M., Mahan, S.A., Rittenour, T.M., and Howard, K., 2025, Timing and geometry of the Chemehuevi Formation reveal a late Pleistocene sediment pulse into the Lower Colorado River: GSA Bulletin, v. 137, no. 3-4, p. 1582-1606, https://doi.org/10.1130/B37579.1.","productDescription":"25 p.","startPage":"1582","endPage":"1606","ipdsId":"IP-156841","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":496379,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/b37579.1","text":"Publisher Index Page"},{"id":481869,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada","otherGeospatial":"Lower Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.04673343546492,\n              36.093655050676304\n            ],\n            [\n              -115.04673343546492,\n              32.810604750099\n            ],\n            [\n              -114.08658173380047,\n              32.810604750099\n            ],\n            [\n              -114.08658173380047,\n              36.093655050676304\n            ],\n            [\n              -115.04673343546492,\n              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,{"id":70267770,"text":"70267770 - 2025 - Evaluating the effects of nest management on a recovering raptor using integrated population modeling","interactions":[],"lastModifiedDate":"2025-05-30T15:30:50.249332","indexId":"70267770","displayToPublicDate":"2024-10-25T08:25:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating the effects of nest management on a recovering raptor using integrated population modeling","docAbstract":"<p><span>Evaluating population responses to management is a crucial component of successful conservation programs. Models predicting population growth under different management scenarios can provide key insights into the efficacy of specific management actions both in reversing population decline and in maintaining recovered populations. Bald eagle (</span><i>Haliaeetus leucocephalus</i><span>) conservation in the United States has seen many successes over the last 50 years, yet the extent to which the bald eagle population has recovered in Arizona, an important population within the Southwest region, remains an area of debate. Estimates of the species' population trend and an evaluation of ongoing nest-level management practices are needed to inform management decisions. We developed a Bayesian integrated population model (IPM) and population viability analysis (PVA) using a 36-year dataset to assess Arizona bald eagle population dynamics and their underlying demographic rates under current and possible future management practices. We estimated that the population grew from 77 females in 1993 to 180 females in 2022, an average yearly increase of 3%. Breeding sites that had trained personnel (i.e., nestwatchers) stationed at active nests to mitigate human disturbance had a 28% higher reproductive output than nests without this protection. Uncertainty around population trends was high, but scenarios that continued the nestwatcher program were less likely to predict abundance declines than scenarios without nestwatchers. Here, the IPM-PVA framework provides a useful tool both for estimating the effectiveness of past management actions and for exploring the management needs of a delisted population, highlighting that continued management action may be necessary to maintain population viability even after meeting certain recovery criteria.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4943","usgsCitation":"Cappello, C., Jacobson, K., Driscoll, J., McCarty, K., and Bauder, J.M., 2025, Evaluating the effects of nest management on a recovering raptor using integrated population modeling: Ecosphere, v. 15, no. 10, e4943, 19 p., https://doi.org/10.1002/ecs2.4943.","productDescription":"e4943, 19 p.","ipdsId":"IP-154963","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490651,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4943","text":"Publisher Index 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,{"id":70263806,"text":"70263806 - 2025 - Weather events influence survival and recruitment of Coereba flaveola (Bananaquit) in the Caribbean","interactions":[],"lastModifiedDate":"2025-02-25T16:28:52.11681","indexId":"70263806","displayToPublicDate":"2024-10-15T08:47:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10109,"text":"Ornithology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Weather events influence survival and recruitment of <i>Coereba flaveola</i> (Bananaquit) in the Caribbean","title":"Weather events influence survival and recruitment of Coereba flaveola (Bananaquit) in the Caribbean","docAbstract":"<p><span>The West Indies is considered a biodiversity hotspot and a priority for ecological conservation efforts. Understanding how environmental conditions influence the survival of resident avifauna is an important information need given the predicted increases in drought and the frequency and intensity of severe storms in the region. Throughout much of the Caribbean,&nbsp;</span><i>Coereba flaveola</i><span>&nbsp;(Bananaquit) are widespread and abundant, traits that may facilitate understanding their response to environmental changes in the region. We used a 10-yr capture–mark–recapture data set to examine&nbsp;</span><i>C. flaveola</i><span>&nbsp;survival, recruitment, population growth, and age structure in the context of monthly and seasonal precipitation and temperatures, drought conditions, and occurrence and intensity of storm events. Our models suggested wing length, occurrence of storms, and drought all influenced survival. Both the incidence of storms and drier-than-average conditions in the preceding wet season (April–June) decreased survival. The sex of bird and net hours influenced capture probability, but weather influences on recruitment were equivocal. During nonstorm years, mean population growth was stable at 1.019 (95% confidence interval [CI]: 0.962, 1.098) but dropped to 0.843 (95% CI: 0.795, 0.846) in storm years. Increasing frequency of storms, such as back-to-back years, would likely push the growth rate lower. A protracted pattern of increased storm frequency, especially if coupled with a subsequent drought during the wet season, may lead to localized extirpations or strongly reduced populations.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithology/ukae052","usgsCitation":"Boal, C.W., and Bibles, B., 2025, Weather events influence survival and recruitment of Coereba flaveola (Bananaquit) in the Caribbean: Ornithology, v. 142, no. 1, ukae052, 10 p., https://doi.org/10.1093/ornithology/ukae052.","productDescription":"ukae052, 10 p.","ipdsId":"IP-161040","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496380,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithology/ukae052","text":"Publisher Index Page"},{"id":482455,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United Kingdom","otherGeospatial":"British Virgin Islands, Guana Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -64.57251334042952,\n              18.48346542262051\n            ],\n            [\n              -64.57922963213755,\n              18.48346542262051\n            ],\n            [\n              -64.57922963213755,\n              18.473199066754887\n            ],\n            [\n              -64.57251334042952,\n              18.473199066754887\n            ],\n            [\n              -64.57251334042952,\n              18.48346542262051\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"142","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Boal, Clint W. 0000-0001-6008-8911 cboal@usgs.gov","orcid":"https://orcid.org/0000-0001-6008-8911","contributorId":1909,"corporation":false,"usgs":true,"family":"Boal","given":"Clint","email":"cboal@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":928355,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bibles, Brent D.","contributorId":341439,"corporation":false,"usgs":false,"family":"Bibles","given":"Brent D.","affiliations":[{"id":81739,"text":"Unity College","active":true,"usgs":false}],"preferred":false,"id":928356,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70260875,"text":"70260875 - 2025 - EthoCRED: A framework to guide reporting and evaluation of the relevance and reliability of behavioural ecotoxicity studies","interactions":[],"lastModifiedDate":"2025-03-11T14:47:54.228944","indexId":"70260875","displayToPublicDate":"2024-10-12T10:16:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"EthoCRED: A framework to guide reporting and evaluation of the relevance and reliability of behavioural ecotoxicity studies","docAbstract":"<p><span>Behavioural analysis has been attracting significant attention as a broad indicator of sub-lethal toxicity and has secured a place as an important subdiscipline in ecotoxicology. Among the most notable characteristics of behavioural research, compared to other established approaches in sub-lethal ecotoxicology (e.g. reproductive and developmental bioassays), are the wide range of study designs being used and the diversity of endpoints considered. At the same time, environmental hazard and risk assessment, which underpins regulatory decisions to protect the environment from potentially harmful chemicals, often recommends that ecotoxicological data be produced following accepted and validated test guidelines. These guidelines typically do not address behavioural changes, meaning that these, often sensitive, effects are not represented in hazard and risk assessments. Here, we propose a new tool, the EthoCRED evaluation method, for assessing the relevance and reliability of behavioural ecotoxicity data, which considers the unique requirements and challenges encountered in this field. This method and accompanying reporting recommendations are designed to serve as an extension of the “Criteria for Reporting and Evaluating Ecotoxicity Data (CRED)” project. As such, EthoCRED can both accommodate the wide array of experimental design approaches seen in behavioural ecotoxicology, and could be readily implemented into regulatory frameworks as deemed appropriate by policy makers of different jurisdictions to allow better integration of knowledge gained from behavioural testing into environmental protection. Furthermore, through our reporting recommendations, we aim to improve the reporting of behavioural studies in the peer-reviewed literature, and thereby increase their usefulness to inform chemical regulation.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/brv.13154","usgsCitation":"Bertram, M.G., Agerstrand, M., Thore, E.S., Allen, J., Balshine, S., Brand, J.A., Brooks, B.W., Dang, Z., Duquesne, S., Ford, A.T., Hoffmann, F., Hollert, H., Jacob, S., Kloas, W., Kluver, N., Lazorchak, J., Ledesma, M., Maack, G., Macartney, E.L., Martin, J.M., Melvin, S.D., Michelangeli, M., Mohr, S., Padilla, S., Pyle, G.G., Saaristo, M., Sahm, R., Smit, E., Steevens, J.A., van den Berg, S., Vossen, L.E., Wlodkowic, D., Wong, B.B., Ziegler, M., and Brodin, T., 2025, EthoCRED: A framework to guide reporting and evaluation of the relevance and reliability of behavioural ecotoxicity studies: Biological Reviews, v. 100, no. 2, p. 556-585, https://doi.org/10.1111/brv.13154.","productDescription":"30 p.","startPage":"556","endPage":"585","ipdsId":"IP-160071","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":466854,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/brv.13154","text":"Publisher Index Page"},{"id":463906,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-10-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Bertram, Michael G.","contributorId":257463,"corporation":false,"usgs":false,"family":"Bertram","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":52030,"text":"Swedish University of Agricultural Sciences, Umeå, Sweden","active":true,"usgs":false}],"preferred":false,"id":918371,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Agerstrand, Marlene","contributorId":257461,"corporation":false,"usgs":false,"family":"Agerstrand","given":"Marlene","email":"","affiliations":[{"id":52028,"text":"Department of Environmental Science, Stockholm University, Stockholm, Sweden","active":true,"usgs":false}],"preferred":false,"id":918372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thore, Eli S.J.","contributorId":346192,"corporation":false,"usgs":false,"family":"Thore","given":"Eli","email":"","middleInitial":"S.J.","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":918373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Joel","contributorId":257462,"corporation":false,"usgs":false,"family":"Allen","given":"Joel","affiliations":[{"id":52029,"text":"U.S. EPA Office of Research and Development, Cincinnati, Ohio","active":true,"usgs":false}],"preferred":false,"id":918374,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Balshine, Sigal","contributorId":346193,"corporation":false,"usgs":false,"family":"Balshine","given":"Sigal","email":"","affiliations":[{"id":25502,"text":"McMaster University","active":true,"usgs":false}],"preferred":false,"id":918375,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brand, Jack A.","contributorId":346194,"corporation":false,"usgs":false,"family":"Brand","given":"Jack","email":"","middleInitial":"A.","affiliations":[{"id":13431,"text":"Zoological Society of London","active":true,"usgs":false}],"preferred":false,"id":918376,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Brooks, Bryan W. 0000-0002-6277-9852","orcid":"https://orcid.org/0000-0002-6277-9852","contributorId":198868,"corporation":false,"usgs":false,"family":"Brooks","given":"Bryan","email":"","middleInitial":"W.","affiliations":[{"id":35352,"text":"Department of Environmental Science, Baylor University, Waco, TX, USA","active":true,"usgs":false}],"preferred":false,"id":918377,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dang, ZhiChao","contributorId":200668,"corporation":false,"usgs":false,"family":"Dang","given":"ZhiChao","email":"","affiliations":[],"preferred":false,"id":918378,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Duquesne, Sabine","contributorId":257464,"corporation":false,"usgs":false,"family":"Duquesne","given":"Sabine","email":"","affiliations":[{"id":52031,"text":"German Environment Agency (UBA), Dessau, Germany","active":true,"usgs":false}],"preferred":false,"id":918379,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ford, Alex T. 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Sciences","active":true,"usgs":false}],"preferred":false,"id":918401,"contributorType":{"id":1,"text":"Authors"},"rank":31},{"text":"Wlodkowic, Donald","contributorId":346213,"corporation":false,"usgs":false,"family":"Wlodkowic","given":"Donald","email":"","affiliations":[{"id":82802,"text":"RMIT University, Australia","active":true,"usgs":false}],"preferred":false,"id":918402,"contributorType":{"id":1,"text":"Authors"},"rank":32},{"text":"Wong, Bob B.M.","contributorId":257480,"corporation":false,"usgs":false,"family":"Wong","given":"Bob","email":"","middleInitial":"B.M.","affiliations":[{"id":52043,"text":"School of Biological Sciences, Monash University, Melbourne, Victoria, Australia","active":true,"usgs":false}],"preferred":false,"id":918403,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Ziegler, Michael","contributorId":257481,"corporation":false,"usgs":false,"family":"Ziegler","given":"Michael","email":"","affiliations":[{"id":52044,"text":"University of Tübingen, Tübingen, Germany","active":true,"usgs":false}],"preferred":false,"id":918404,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Brodin, Tomas","contributorId":212851,"corporation":false,"usgs":false,"family":"Brodin","given":"Tomas","email":"","affiliations":[{"id":24847,"text":"Umea University","active":true,"usgs":false}],"preferred":false,"id":918405,"contributorType":{"id":1,"text":"Authors"},"rank":35}]}}
,{"id":70269050,"text":"70269050 - 2025 - Geologic input databases for the 2025 Puerto Rico – U.S. Virgin Islands National Seismic Hazard Model update: Crustal faults component","interactions":[],"lastModifiedDate":"2025-07-15T16:57:40.01742","indexId":"70269050","displayToPublicDate":"2024-10-08T09:51:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Geologic input databases for the 2025 Puerto Rico – U.S. Virgin Islands National Seismic Hazard Model update: Crustal faults component","docAbstract":"<p><span>The last National Seismic Hazard Model (NSHM) for Puerto Rico and the U.S. Virgin Islands (PRVI) was published in 2003. In advance of the 2025 PRVI NSHM update, we created three geologic input databases to summarize new onshore and offshore fault source information in the northern Caribbean region between 62°–70° W and 16°–21° N. These databases, of fault sections, fault‐zone polygons, and geologic estimates of fault activity (fault‐slip rate and earthquake recurrence intervals) at specific sites, document updates to fault parameters used in prior seismic hazard models in PRVI. Fault sources were reviewed from published studies since 2003, which document substantial changes to the understanding of fault location, geometry, or activity. New fault section sources were added for features that meet the criteria of (1) length ≥7&nbsp;km, (2) unequivocal evidence of recurrent tectonic Quaternary activity, and (3) documentation that is publicly available in a peer‐reviewed source. In addition, we revised several broad areal sources, such as the Mona and Anegada extensional zones. The 2003 model included three fault sections and two fault‐zone polygons (areal sources). These databases include 35 fault sections, 6 fault‐zone polygons, and 51 earthquake geology sites. To characterize fault activity rates, slip‐rate bins were assigned based on landscape expression and paleoseismic trench observations for faults without published slip‐rate sites. Additional fault sources were evaluated but not included in these databases due to a lack of published information about fault location, geometry, or recurrent Quaternary activity. The PRVI NSHM 2025 geologic input databases describe crustal faulting; the geometries and coupling of Puerto Rico subduction zone and Muertos Trough models are considered in a separate database. Updates to the fault sections, fault‐zone polygons, and earthquake geology databases can help inform the location and recurrence rate of damaging earthquakes in the PRVI NSHM implementation.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220230222","usgsCitation":"Jobe, J.A., Briggs, R.W., ten Brink, U.S., Pratt, T.L., Hughes, K.S., Hatem, A.E., DuRoss, C., Reitman, N.G., Herrick, J.A., Nicovich, S.R., Collett, C., Scharer, K., and DeLong, S.B., 2025, Geologic input databases for the 2025 Puerto Rico – U.S. Virgin Islands National Seismic Hazard Model update: Crustal faults component: Seismological Research Letters, v. 96, no. 2A, p. 1018-1044, https://doi.org/10.1785/0220230222.","productDescription":"27 p.","startPage":"1018","endPage":"1044","ipdsId":"IP-155072","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":492285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico, U.S. Virgin Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.9352850199376,\n              20.634411122471107\n            ],\n            [\n              -73.9352850199376,\n              15.056848325224166\n            ],\n            [\n              -60.40254592426669,\n              15.056848325224166\n            ],\n            [\n              -60.40254592426669,\n              20.634411122471107\n            ],\n            [\n              -73.9352850199376,\n              20.634411122471107\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"96","issue":"2A","noUsgsAuthors":false,"publicationDate":"2024-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Jobe, Jessica Ann Thompson 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Jobe","given":"Jessica","email":"","middleInitial":"Ann Thompson","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943104,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":943105,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"ten Brink, Uri S. 0000-0001-6858-3001","orcid":"https://orcid.org/0000-0001-6858-3001","contributorId":201741,"corporation":false,"usgs":true,"family":"ten Brink","given":"Uri","email":"","middleInitial":"S.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":943106,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pratt, Thomas L. 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":3279,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943107,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hughes, K. Stephen","contributorId":218339,"corporation":false,"usgs":false,"family":"Hughes","given":"K.","email":"","middleInitial":"Stephen","affiliations":[{"id":16585,"text":"University of Puerto Rico - Mayaguez","active":true,"usgs":false}],"preferred":false,"id":943108,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943109,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943110,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":943111,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Herrick, Julie A. 0000-0003-0682-760X","orcid":"https://orcid.org/0000-0003-0682-760X","contributorId":243649,"corporation":false,"usgs":true,"family":"Herrick","given":"Julie","middleInitial":"A.","affiliations":[],"preferred":true,"id":943112,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nicovich, Sylvia R. 0000-0003-4280-4034","orcid":"https://orcid.org/0000-0003-4280-4034","contributorId":341909,"corporation":false,"usgs":true,"family":"Nicovich","given":"Sylvia","email":"","middleInitial":"R.","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":943113,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Collett, Camille 0000-0003-4836-0243","orcid":"https://orcid.org/0000-0003-4836-0243","contributorId":310393,"corporation":false,"usgs":false,"family":"Collett","given":"Camille","affiliations":[{"id":67175,"text":"Formerly: U.S. Geological Survey, Geologic Hazards Science Center","active":true,"usgs":false}],"preferred":false,"id":943114,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Scharer, Katherine M. 0000-0003-2811-2496","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":217361,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943115,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"DeLong, Stephen B. 0000-0002-0945-2172 sdelong@usgs.gov","orcid":"https://orcid.org/0000-0002-0945-2172","contributorId":5240,"corporation":false,"usgs":true,"family":"DeLong","given":"Stephen","email":"sdelong@usgs.gov","middleInitial":"B.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943178,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70259490,"text":"70259490 - 2025 - Evaluation of an open earthquake early warning system in Mexico, and laboratory tests of their sensors","interactions":[],"lastModifiedDate":"2025-03-25T15:46:40.066916","indexId":"70259490","displayToPublicDate":"2024-10-03T06:54:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of an open earthquake early warning system in Mexico, and laboratory tests of their sensors","docAbstract":"<div class=\"\"><div id=\"146807509\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Microelectromechanical system (MEMS) accelerometers are useful for seismological and engineering applications because of their ability to record unsaturated large seismic signals. Recent advances in MEMS technologies enable the design of instruments with improved capabilities that also allow the recording of small signals. As a result, MEMS can be useful across a broad dynamic range and for both major earthquakes and smaller magnitude events. Here, we analyze the performance of a MEMS‐based accelerometer with the capability of real‐time data transmission. We discuss the self‐noise level, dynamic range, and sensitivity, along with the timing precision and data transmission latency, and compare these parameters to other MEMS‐based instruments. We also summarize observations from a regional network deployed in southern Mexico over a period of 3+ yr for the purpose of earthquake early warning. In addition to the sensor evaluation, we present a large, openly available data set of strong motion data from the Mexican network that comprises continuous ground‐motion records from 24 accelerometers in the period between 2017 and 2022.</p></div></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220230272","usgsCitation":"Kuna, V., Ringler, A.T., and Melgar, D., 2025, Evaluation of an open earthquake early warning system in Mexico, and laboratory tests of their sensors: Seismological Research Letters, v. 96, no. 2A, p. 980-989, https://doi.org/10.1785/0220230272.","productDescription":"10 p.","startPage":"980","endPage":"989","ipdsId":"IP-163392","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":462781,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"2A","noUsgsAuthors":false,"publicationDate":"2024-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kuna, Vaclav","contributorId":345061,"corporation":false,"usgs":false,"family":"Kuna","given":"Vaclav","email":"","affiliations":[{"id":82475,"text":"The Institute of Geophysics of the Czech Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":915486,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":915487,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Melgar, Diego","contributorId":341315,"corporation":false,"usgs":false,"family":"Melgar","given":"Diego","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":915488,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70261617,"text":"70261617 - 2025 - Archive of morphological data for the Coregonus artedi species complex of the Great Lakes, Lake Nipigon and Great Slave Lake","interactions":[],"lastModifiedDate":"2026-02-10T14:06:41.356132","indexId":"70261617","displayToPublicDate":"2024-10-01T10:31:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19856,"text":"Laurentian","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Archive of morphological data for the <i>Coregonus artedi</i> species complex of the Great Lakes, Lake Nipigon and Great Slave Lake","title":"Archive of morphological data for the Coregonus artedi species complex of the Great Lakes, Lake Nipigon and Great Slave Lake","docAbstract":"<p><span>This publication is a user guide for an archive of morphological data recorded by various authors from North American ciscoes of the&nbsp;</span><i>Coregonus artedi</i><span>&nbsp;species complex (subfamily&nbsp;</span><i>Coregoninae</i><span>). The archive is accessible from the Great Lakes Fishery Commission’s (GLFC) server, is open access, and contains data for the Laurentian Great Lakes; Lake Nipigon, Ontario; and Great Slave Lake, Northwest Territories. The archive comprises morphometrics and meristics (together metrics) for 6,700 individual Cisco of which 1,400 are accompanied by images. In addition, the archive contains metrics presented as arrays by W. N. Koelz, Coregonid fishes of the Great Lakes, Bulletin of the U.S. Bureau of Fisheries 43(2):297-643, which were based on 10,000 individuals. Spreadsheets in the Metrics folder of the archive are divided broadly into Contemporary and Historical subfolders and the Contemporary subfolder is further divided into Cisco Monograph and Extra Monograph subfolders to encourage statistical assessment of findings in GLFC Miscellaneous Publication 2023. The Images folder is organized into subfolders by lake. Tables in this user guide allow for quick determination of the availability of data by lake, subspecies, author, and year.</span></p>","language":"English","publisher":"Great Lakes Fishery Commission","doi":"10.70227/NKOF6023","usgsCitation":"Eshenroder, R.L., Pollens-Dempsey, J., Pratt, T., Mandrak, N.E., Todd, T.N., O’Brien, T.P., Reid, S.M., Olds, C.M., Woelmer, W., Kao, Y., Yule, D.L., O’Malley, B., Vecsei, P., Nation, C.U., Indians, L.T., Little River Band of Ottawa Indians, and Muir, A.M., 2025, Archive of morphological data for the Coregonus artedi species complex of the Great Lakes, Lake Nipigon and Great Slave Lake: Laurentian, 2025-01, 14 p., https://doi.org/10.70227/NKOF6023.","productDescription":"2025-01, 14 p.","ipdsId":"IP-168138","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":499865,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.70227/nkof6023","text":"Publisher Index 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Odawa","contributorId":347270,"corporation":false,"usgs":false,"family":"Indians","given":"Little","email":"","middleInitial":"Traverse Bay Bands of Odawa","affiliations":[],"preferred":false,"id":921213,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Little River Band of Ottawa Indians","contributorId":347271,"corporation":false,"usgs":false,"family":"Little River Band of Ottawa Indians","affiliations":[],"preferred":false,"id":921214,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Muir, Andrew M.","contributorId":176177,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":921215,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70259489,"text":"70259489 - 2025 - Reply to “comment on ‘an evaluation of the timing accuracy of global and regional seismic stations and networks’ by Yang et al. (2021)” by Xin Zhang and Lianxing Wen","interactions":[],"lastModifiedDate":"2025-01-13T16:15:20.084689","indexId":"70259489","displayToPublicDate":"2024-09-04T09:41:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Reply to “comment on ‘an evaluation of the timing accuracy of global and regional seismic stations and networks’ by Yang et al. (2021)” by Xin Zhang and Lianxing Wen","docAbstract":"<p><span>The finding of&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf14\">Yang<span>&nbsp;</span><i>et&nbsp;al.</i><span>&nbsp;</span>(2021</a><span>; hereafter, YSR21) casts fundamental doubts on all the previous studies on the temporal changes of the inner core (IC) surface that are based on absolute arrival times, including&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf7\">Wen (2006</a><span>; hereafter, WEN06) and its follow‐up studies. The reports of small time shifts of the IC‐reflected phase (</span><i>PKiKP</i><span>) likely misinterpreted station‐related issues (clock errors and instrument changes) as evidence for rapid localized deformation at the IC surface. The comment by&nbsp;</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf19\">Zhang and Wen (2024</a><span>; hereafter, ZW24) aims at defending the results and conclusions of WEN06 by questioning a tiny portion of the results (2 out of over 400 doublets and 3 out of over 400 problematic stations) in YSR21. In response, we acknowledge an accidental error in table S1 of YSR21, which is corrected in an erratum (</span><a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf15\">Yang<span>&nbsp;</span><i>et&nbsp;al.</i>, 2023</a><span>), although this does not affect the results or interpretations of YSR21. However, we strongly disagree with the criticisms in ZW24 due to many problems therein, especially the issue of irreproducibility due to its inconsistent procedures with YSR21. While the problems are related to the use of absolute arrivals in the previous studies by Wen’s group, key problems in this new comment are related to questionable data selection and inconsistent processing. We further caution the metadata updates, particularly when involving small temporal change signals. We focus on the main points in ZW24 and demonstrate that its arguments are problematic in many aspects and do not diminish the credibility of YSR21 or other related works by Yang and Song in support of the IC differential rotation.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240004","usgsCitation":"Yang, Y., Song, X., and Ringler, A.T., 2025, Reply to “comment on ‘an evaluation of the timing accuracy of global and regional seismic stations and networks’ by Yang et al. (2021)” by Xin Zhang and Lianxing Wen: Seismological Research Letters, v. 96, no. 1, p. 611-619, https://doi.org/10.1785/0220240004.","productDescription":"9 p.","startPage":"611","endPage":"619","ipdsId":"IP-164614","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":462789,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Yang, Yi","contributorId":345092,"corporation":false,"usgs":false,"family":"Yang","given":"Yi","email":"","affiliations":[],"preferred":false,"id":915483,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Song, Xiaodong","contributorId":269403,"corporation":false,"usgs":false,"family":"Song","given":"Xiaodong","email":"","affiliations":[{"id":55969,"text":"Institute of Theoretical and Applied Geophysics, Peking University, Beijing, China; Hebei Hongshan Geophysical National Observation and Research Station, Peking University, Beijing, China","active":true,"usgs":false}],"preferred":false,"id":915484,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":915485,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70257016,"text":"70257016 - 2025 - (Re)discovering the seismicity of Antarctica: A new seismic catalog for the southernmost continent","interactions":[],"lastModifiedDate":"2025-01-13T16:05:38.725944","indexId":"70257016","displayToPublicDate":"2024-07-31T06:41:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"(Re)discovering the seismicity of Antarctica: A new seismic catalog for the southernmost continent","docAbstract":"We apply a machine learning (ML) earthquake detection technique on over 21 yr of seismic data from on‐continent temporary and long‐term networks to obtain the most complete catalog of seismicity in Antarctica to date. The new catalog contains 60,006 seismic events within the Antarctic continent for 1 January 2000–1 January 2021, with estimated moment magnitudes (⁠Mw\n⁠) between −1.0 and 4.5. Most detected seismicity occurs near Ross Island, large ice shelves, ice streams, ice‐covered volcanoes, or in distinct and isolated areas within the continental interior. The event locations and waveform characteristics indicate volcanic, tectonic, and cryospheric sources. The catalog shows that Antarctica is more seismically active than prior catalogs would indicate, examples include new tectonic events in East Antarctica, seismic events near and around the vicinity of David Glacier, and many thousands of events in the Mount Erebus region. This catalog provides a resource for more specific studies using other detection and analysis methods such as template matching or transfer learning to further discriminate source types and investigate diverse seismogenic processes across the continent.","language":"English","publisher":"Geological Society of America","doi":"10.1785/0220240076","usgsCitation":"Pena Castro, A.F., Schmandt, B., Nakai, J.S., Aster, R.C., and Chaput, J., 2025, (Re)discovering the seismicity of Antarctica: A new seismic catalog for the southernmost continent: Seismological Research Letters, v. 96, no. 1, p. 576-594, https://doi.org/10.1785/0220240076.","productDescription":"19 p.","startPage":"576","endPage":"594","ipdsId":"IP-163366","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":432328,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"96","issue":"1","noUsgsAuthors":false,"publicationDate":"2024-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Pena Castro, Andres F. 0000-0001-8055-1977","orcid":"https://orcid.org/0000-0001-8055-1977","contributorId":341919,"corporation":false,"usgs":false,"family":"Pena Castro","given":"Andres","email":"","middleInitial":"F.","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":909162,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schmandt, Brandon","contributorId":202750,"corporation":false,"usgs":false,"family":"Schmandt","given":"Brandon","email":"","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":909163,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nakai, Jenny Sha 0000-0002-4559-9796","orcid":"https://orcid.org/0000-0002-4559-9796","contributorId":341920,"corporation":false,"usgs":true,"family":"Nakai","given":"Jenny","email":"","middleInitial":"Sha","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":909164,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aster, Richard C. 0000-0002-0821-4906","orcid":"https://orcid.org/0000-0002-0821-4906","contributorId":194410,"corporation":false,"usgs":false,"family":"Aster","given":"Richard","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":909165,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chaput, Julien 0000-0003-1501-3763","orcid":"https://orcid.org/0000-0003-1501-3763","contributorId":341921,"corporation":false,"usgs":false,"family":"Chaput","given":"Julien","email":"","affiliations":[{"id":68346,"text":"University of Texas El Paso","active":true,"usgs":false}],"preferred":false,"id":909166,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70255721,"text":"70255721 - 2025 - Connecting tributary mercury loads to nearshore and offshore sediments in Lake Superior","interactions":[],"lastModifiedDate":"2025-01-27T16:24:44.738971","indexId":"70255721","displayToPublicDate":"2024-07-03T10:41:45","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Connecting tributary mercury loads to nearshore and offshore sediments in Lake Superior","docAbstract":"<p><span>Lake Superior has a vast and largely undeveloped watershed in comparison to the other Great Lakes, which makes it challenging to study mercury (Hg) sources and cycling. To examine Hg inputs to Lake Superior, we conducted an expansive binational assessment in 40 watersheds from a diverse range of landcover types. We further paired tributary Hg data to sediment source portfolios in the nearshore and offshore zones of Lake Superior through partnership with the Great Lakes Sediment Surveillance Program. We observed that total Hg loads were highest in the spring driven by the combination of elevated Hg concentrations and increased water discharge from snowmelt. In addition, total Hg concentrations in tributaries from remote, heavily forested regions, such as Pukaskwa National Park and the Minnesota Northshore, were higher than the Southshore and Thunder Bay regions. Methylmercury concentrations and loads were more spatially dependent, often corresponding to regions with more wetlands (e.g., Michigan Upper Peninsula). We estimated that the total Hg tributary load to Lake Superior in 2021 was 126&nbsp;kg per year. To further examine the fate of watershed Hg sources, we examined sediments from 28 sites in Lake Superior using Hg stable isotopes. At open water sites, precipitation was the primary Hg source to sediments, but within nearshore sites Hg originated predominantly from watershed runoff. This work further defines the sources and fate of Hg within Lake Superior and highlights how Hg delivery is intrinsically tied to varying hydrologic regimes.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102381","usgsCitation":"Janssen, S., Tate, M., Dantoin, E.D., Filstrup, C.T., Reavie, E., Stewart, R.M., Robinson, C., Allan, C.J., Robertson, D., and Krabbenhoft, D.P., 2025, Connecting tributary mercury loads to nearshore and offshore sediments in Lake Superior: Journal of Great Lakes Research, v. 51, no. 1, 102381, 11 p., https://doi.org/10.1016/j.jglr.2024.102381.","productDescription":"102381, 11 p.","ipdsId":"IP-163575","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439302,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2024.102381","text":"Publisher Index 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,{"id":70268780,"text":"70268780 - 2025 - Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues","interactions":[],"lastModifiedDate":"2025-07-08T17:25:42.067225","indexId":"70268780","displayToPublicDate":"2024-06-27T00:00:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21985,"text":"Precision Agriculture","active":true,"publicationSubtype":{"id":10}},"title":"Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues","docAbstract":"<p>Purpose</p><p>Cover crops and reduced tillage are two key climate smart agricultural practices that can provide agroecosystem services including improved soil health, increased soil carbon sequestration, and reduced fertilizer needs. Crop residue carbon traits (i.e., lignin, holocellulose, non-structural carbohydrates) and nitrogen concentrations largely mediate decomposition rates and amount of plant-available nitrogen accessible to cash crops and determine soil carbon residence time. Non-destructive approaches to quantify these important traits are possible using spectroscopy.</p><p>Methods</p><p>The objective of this study was to quantify cash and cover crop residue nitrogen and carbon traits using partial least squares regression models and a combination of 1) the band equivalent reflectance (BER) of the PRecursore IperSpettrale della Missione Applicativa (PRISMA) imaging spectroscopy sensor derived from laboratory collected ASD spectra (n = 296) of 11 cover crop species and three cash crop species, and 2) spaceborne PRISMA imagery that coincided with destructive crop residue collections in the spring of 2022 (n = 65). Spectral range was constrained to 1200 to 2400nm to reduce the likelihood of confounding relationships in wavelengths sensitive to plant pigments or those related to canopy structure for both analytical approaches.</p><p>Results</p><p>Models using laboratory BER of PRISMA all demonstrated high accuracies and low errors for estimation of nitrogen and carbon traits (adj. R2 = 0.86 – 0.98; RMSE = 0.24 – 4.25%) and results suggest that a single model may be used for a given trait across all species. Models using spaceborne imaging spectroscopy demonstrated that crop residue carbon traits can be successfully estimated using PRISMA imagery (adj. R2 = 0.65 – 0.75; RMSE = 2.71 – 4.16%). We found moderate relationships between nitrogen concentration and PRISMA imagery (adj. R2 = 0.52; RMSE = 0.25%), which is partly related to the range of nitrogen in these senesced crop residues (0.38 – 1.85%). PRISMA imagery models were also impacted by atmospheric absorption, variability in surface moisture content, and some presence of green vegetation. </p><p>Conclusion</p><p>As spaceborne imaging spectroscopy data become more widely available from upcoming missions, crop residue trait estimates could be regularly generated and integrated into decision support tools to calculate decomposition rates and associated nitrogen credits to inform precision field management, as well as to enable measurement, monitoring, reporting, and verification of net carbon benefits from climate smart agricultural practice adoption in an emerging carbon marketplace.</p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s11119-024-10159-4","usgsCitation":"Jennewein, J., Hively, W.D., Lamb, B.T., Daughtry, C.S., Thapa, R., Thieme, A., Reberg-Horton, C., and Mirsky, S., 2025, Spaceborne imaging spectroscopy enables carbon trait estimation in cover crop and cash crop residues: Precision 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