{"pageNumber":"96","pageRowStart":"2375","pageSize":"25","recordCount":184617,"records":[{"id":70263110,"text":"ofr20241081 - 2025 - Proceedings of the 2024 Asia-Pacific Wildlife Health Workshop—Collaborating against shared threats","interactions":[],"lastModifiedDate":"2025-01-31T14:45:30.129101","indexId":"ofr20241081","displayToPublicDate":"2025-01-30T12:04:59","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1081","displayTitle":"Proceedings of the 2024 Asia-Pacific Wildlife Health Workshop—Collaborating Against Shared Threats","title":"Proceedings of the 2024 Asia-Pacific Wildlife Health Workshop—Collaborating against shared threats","docAbstract":"<p>Emerging diseases of wildlife origin are increasingly transboundary (they spread rapidly across geographic regions and across continents). In recent years, examples include the rapid spread of African swine fever across Europe and Asia with negative effects on food security, and the near global spread of highly pathogenic avian influenza which has devastated wildlife populations, caused economic harm, and which threatens public health; consequently, international partnerships and networks are essential to facilitate the sharing of information for improved situational awareness and better preparedness and response. In this regard, the U.S. Geological Survey and the Korea National Institute for Wildlife Disease Control and Prevention have had a long-standing partnership to foster scientific collaboration. A key part of the activities has been annual scientific workshops, which commenced in 2016.</p><p>The 2024 workshop in Hilo, Hawaii, was the most recent in these series of workshops and included participants from across Asia and the Pacific region, including Thailand, Vietnam, China, Republic of Korea, Japan, Australia, Cook Islands, Fiji, and the United States. The goals of the workshop were:</p><ul><li>to continue to build the wildlife health community of practice in the Asia-Pacific region and expand the participants to agencies and institutions from other countries in the region; and</li><li>exchange scientific knowledge among the participants to share best practices, create scientific networks, and build capacity in wildlife health science for the Asia-Pacific region.</li></ul><p>The themes discussed at the workshop included wildlife health risk management, avian Influenza, African swine fever, climate change and emerging diseases, and international cooperation. This report contains the author-submitted abstracts which provide a summary of the presentations and discussions during the workshop. The aim is to share this information to continue to foster international scientific exchange to protect wildlife health, livestock, and public health from the negative impacts of infectious and noninfectious diseases.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241081","collaboration":"Prepared in cooperation with Korea National Institute for Wildlife Disease Control and Prevention and Wildlife Health Australia","usgsCitation":"Sleeman, J.M., comp., 2025, Proceedings of the 2024 Asia-Pacific Wildlife Health Workshop—Collaborating against shared threats: U.S. Geological Survey Open-File Report 2024-1081, 23 p., https://doi.org/10.3133/ofr20241081.","productDescription":"vii, 23 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-168710","costCenters":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true}],"links":[{"id":481468,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1081/coverthb.jpg"},{"id":481469,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1081/ofr20241081.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1081"},{"id":481470,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1081/ofr20241081.XML"},{"id":481471,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1081/images/"},{"id":481472,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241081/full"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/regions/midcontinent\" data-mce-href=\"https://www.usgs.gov/regions/midcontinent\">Midcontinent Region</a><br>U.S. Geological Survey<br>1992 Folwell Ave.<br>St. Paul, MN 55108</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Preface</li><li>Introducing the Wildlife Health Australia Collaborating Centre in Wildlife Health Risk Management—Working Regionally in the Interests of Australia’s Biosecurity and Biodiversity Resilience</li><li>Animal Health Capacity Building—The Role of Para-Vets in Animal Biosecurity for the Pacific Region</li><li>Collaborations Between Biologists and Veterinarians Yield Insights into Marine Turtle Fibropapillomatosis</li><li>Mitigating Transboundary Emerging Infectious Diseases—Wildlife and One Health Sustainability</li><li>System-Wide Approach to Wildlife Health Capacity Enhancement in Southeast Asia</li><li>The Integration of One Health Assets to Counter Public Health Threats in the Indo-Pacific</li><li>New Zealand Biosecurity and Wildlife Surveillance</li><li>Wildlife Health Risk Management—The Importance of Wildlife Health for One Health Outcomes</li><li>Introduction to Korea's Wild Bird Avian Influenza Policy</li><li>Surveillance of Highly Pathogenic Avian Influenza in Wild Mammals in South Korea</li><li>Genetic Characterization of Highly Pathogenic Avian Influenza H5N1 and H5N6 Viruses Isolated from Wild Birds in South Korea During the 2023–2024 Winter Season</li><li>Detection of Avian Influenza Virus in Mandarin Duck Since 2020 in South Korea</li><li>Risk-Based Targeted Surveillance for Highly Pathogenic Avian Influenza in Wild Waterfowl in The United States</li><li>Highly Pathogenic Avian Influenza Viruses Affecting Alaska Wildlife Exhibit Evidence of Interspecies Transmission and Globally Diverse Recent Common Ancestry</li><li>Forecasting Hemispheric-Level Movement of Highly Pathogenic Avian Influenza Resulting from Waterfowl Migration</li><li>A Simulation Method for Constructing Migratory Host Networks from Band-Recovery and Satellite Telemetry Data</li><li>Predictors of Influenza A Virus Large-Scale Spatial Transmission and Probable Routes of Viral Movement</li><li>Establishing a Noninvasive Method for Evaluating Susceptibility of Endangered Bird Species to Highly Pathogenic Avian Influenza Virus Using Cultured Cells</li><li>Strategic Responses to Control and Prevent the Spread of African Swine Fever Virus—Efficient Capture and Surveillance of Wild Boars</li><li>The Efficacy of the African Swine Fever Vaccine Candidate ASFV-G-ΔI177L/ΔLVR for Korean Field Virus</li><li>Development and Characterization of High-Efficiency Cell-Adapted Live Attenuated Vaccine Candidate Against African Swine Fever Virus</li><li>African Swine Fever Prevention and Preparedness Activities Targeting Feral Swine in the United States</li><li>Ten Years of Feral Swine (<em>Sus scrofa</em>) Disease Surveillance in Guam</li><li>Adaptive Risk-Based Targeted Surveillance for Foreign Animal Diseases in Wild Pigs</li><li>Antimicrobial Resistance and One Health—An Ecological Perspective</li><li>Pathogen Spillover—From Wildlife Reservoirs to Global Epidemics</li><li>Applying Biomedical Tools to Understand Coral Disease</li><li>Understanding Drivers of Winter Tick (<em>Dermacentor albipictus</em>) Abundance and Distribution in New England</li><li>Use of Riparian Habitat by Invasive <em>Culex quinquefasciatus</em> and the Fate of Hawaiian Honeycreepers at Hakalau Forest National Wildlife Refuge, Island of Hawai’i</li><li>Ke Kai Ola “The Healing Sea”—10 Years of Hawaiian Monk Seal Conservation Effort</li><li>Current Status and Response to ASF Outbreaks in Wild Boars in Korea</li><li>References Cited</li><li>Appendix 1. Asia-Pacific Wildlife Health Workshop 2024</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-01-30","noUsgsAuthors":false,"publicationDate":"2025-01-30","publicationStatus":"PW","contributors":{"compilers":[{"text":"Sleeman, Jonathan M. 0000-0002-9910-6125 jsleeman@usgs.gov","orcid":"https://orcid.org/0000-0002-9910-6125","contributorId":128,"corporation":false,"usgs":true,"family":"Sleeman","given":"Jonathan","email":"jsleeman@usgs.gov","middleInitial":"M.","affiliations":[{"id":82110,"text":"Midcontinent Regional Director's Office","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":925572,"contributorType":{"id":3,"text":"Compilers"},"rank":1}]}}
,{"id":70263187,"text":"70263187 - 2025 - Shoreline seasonality of California’s beaches","interactions":[],"lastModifiedDate":"2025-01-31T15:17:27.640402","indexId":"70263187","displayToPublicDate":"2025-01-30T09:13:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Shoreline seasonality of California’s beaches","docAbstract":"<p><span>We report on remote sensing techniques developed to characterize seasonal shoreline cycles from satellite-derived shoreline measurements. These techniques are applied to 22-yr of shoreline measurements for over 777&nbsp;km of beach along California's 1,700-km coast, for which the general understanding is that shorelines exhibit winter-narrow and summer-recovery seasonality. We find that approximately 90% of beach transects exhibit significant and recurring seasonal cycles in the shoreline position. Seasonal shoreline excursions are twice as large in northern and central California (17.5–32.2&nbsp;m) than southern California (7.3–15.9&nbsp;m; interquartile ranges). Clustering analyses were effective at characterizing the temporal patterns of the seasonality, revealing that ∼459&nbsp;km of beach (59%) exhibit winter-narrow conditions, whereas ∼189&nbsp;km (24%) and ∼50&nbsp;km (6.4%) exhibit spring-narrow and summer-narrow conditions, respectively. These spring- and summer-narrow conditions are most common in southern California, where they represent over half of the total length of beach shoreline. Multivariate analyses reveal that wave climate and geomorphic setting are significantly related to the magnitude and timing of shoreline seasonal cycles. Combinations of these variables explain 44% of the seasonality variance of the complete data set and 85% of the variance for a subset of 93 long (&gt;1&nbsp;km) continuous beaches. We conclude that diversity in waves and geomorphic setting along California cause a broad range of seasonal patterns in the shoreline. Combined, this indicates that the overly generalized “winter-narrow/summer-recovery” conventions for California beaches are not expressed universally and that shoreline seasonality is far more diverse than these simple canonical rules.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JF007836","usgsCitation":"Warrick, J.A., Buscombe, D., Vos, K., Kenyon, H., Ritchie, A., Harley, M.D., Janda, C.N., L'Heureux, J., and Vitousek, S., 2025, Shoreline seasonality of California’s beaches: JGR Earth Surface, v. 130, no. 2, e2024JF007836, 29 p., https://doi.org/10.1029/2024JF007836.","productDescription":"e2024JF007836, 29 p.","ipdsId":"IP-163900","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":489866,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jf007836","text":"Publisher Index 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,{"id":70263202,"text":"70263202 - 2025 - Detection of the Diadema antillarum scuticociliatosis Philaster clade on sympatric metazoa, plankton, and abiotic surfaces and assessment for its potential reemergence","interactions":[],"lastModifiedDate":"2025-02-03T16:06:28.672121","indexId":"70263202","displayToPublicDate":"2025-01-30T08:50:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2663,"text":"Marine Ecology Progress Series","active":true,"publicationSubtype":{"id":10}},"title":"Detection of the Diadema antillarum scuticociliatosis Philaster clade on sympatric metazoa, plankton, and abiotic surfaces and assessment for its potential reemergence","docAbstract":"<p>A ciliate belonging to the <i>Diadema antillarum</i> scuticociliatosis (DaSc)-associated <i>Philaster</i> clade (DaScPc) caused catastrophic long-spined urchin mass mortality in spring and summer of 2022. The ciliate can be grown in culture in both the presence and absence of <i>D. antillarum</i> tissues, suggesting that it may persist outside its host by consuming microorganisms or dissolved organic nutrients. We hypothesized that DaScPc was present outside its host during and after mass mortality and absent prior to 2022. We examined DaScPc in DNA extracted from 500 swabs of sym- patric metazoa and abiotic surfaces, and plankton samples, collected at 35 sites in the Caribbean in 2022 and 2023. DaScPc was detected on corals, turf algae, and a sponge, predominantly at sites with active or prior DaSc. We examined whether it was present prior to 2022 by surveying extracted DNA from Caribbean corals and water collected near corals by PCR and by mining publicly available transcriptomes and metagenomes for DaScPc rRNAs. These efforts yielded no DaScPc genes. We further hypothesized that DaScPc may recruit to the specific corals detected in field surveys, and that these may then infect naïve hosts. A mesocosm experiment to test DaScPc recruitment suggested that, while it recruited to corals, it did so inconsistently between coral species. Incubation of corals that recruited DaScPc with naïve urchins yielded inconclusive results since urchins died without characteristic DaSc signs. Overall, our results suggest that DaScPc may occur outside its urchin host, and that it may have been absent in the region prior to 2022.</p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps14763","usgsCitation":"Vilanova-Cuevas, B., Philipp, K., Altera, A., Apprill, A., Becker, C., Behringer, D., Brandt, M.E., Breitbart, M., Budd, K.A., DeRito, C.M., Duermit-Moreau, E., Evans, J.S., Hopson-Fernandes, M., Fleischer, J., Gittens, S., Henson, M., Hylkema, A., Kellogg, C.A., Maritan, A., Meyer, J.L., Pratte, Z.A., Ritchie, I.T., Sevier, M.L., Souza, M., Stewart, F.J., Van Der Wal, S., VonHoehne, S., and Hewson, I., 2025, Detection of the Diadema antillarum scuticociliatosis Philaster clade on sympatric metazoa, plankton, and abiotic surfaces and assessment for its potential reemergence: Marine Ecology Progress Series, v. 753, p. 19-35, https://doi.org/10.3354/meps14763.","productDescription":"17 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,{"id":70263235,"text":"70263235 - 2025 - Surface-wave relocation and characterization of the October 2023 tsunamigenic seismic unrest near Sofugan volcano, Izu Islands, Japan","interactions":[],"lastModifiedDate":"2025-02-03T15:10:03.113049","indexId":"70263235","displayToPublicDate":"2025-01-30T08:01:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Surface-wave relocation and characterization of the October 2023 tsunamigenic seismic unrest near Sofugan volcano, Izu Islands, Japan","docAbstract":"A moderate-magnitude earthquake swarm occurred in the remote Izu Islands region of Japan between October 1 and 8, 2023. The swarm included 151 shallow earthquakes cataloged by the U.S. Geological Survey, which notably included a roughly 2.5-hr episode of 15 successive magnitude (M) < 5.5 earthquakes. Origin times were coincident with regionally recorded tsunami waves, but tsunamigenesis for moderate-magnitude earthquakes is uncommon, indicating that volcanic activity generated the ocean displacements. Leveraging a surface-wave relative relocation approach, we estimate precise epicentroid locations for the remote swarm. Final epicentroids and caldera analogs indicate a three-stage model to explain swarm activity: (a) caldera pressurization due to magma intrusion, (b) depressurization via dike propagation away from the caldera, and (c) eruption corresponding with caldera reactivation either by collapse or additional intrusion.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL113504","usgsCitation":"Deane, C., Pesicek, J., Prejean, S., Earle, P.S., Shelly, D.R., and Yeck, W.L., 2025, Surface-wave relocation and characterization of the October 2023 tsunamigenic seismic unrest near Sofugan volcano, Izu Islands, Japan: Geophysical Research Letters, v. 52, no. 3, e2024GL113504, 12 p., https://doi.org/10.1029/2024GL113504.","productDescription":"e2024GL113504, 12 p.","ipdsId":"IP-172465","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":487612,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl113504","text":"Publisher Index Page"},{"id":481601,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","otherGeospatial":"Sofugan volcano, Izu Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              139.25840884901504,\n              34.82287677805212\n            ],\n            [\n              139.25840884901504,\n              32.958492752206496\n            ],\n            [\n              139.99669459503235,\n              32.958492752206496\n            ],\n            [\n              139.99669459503235,\n              34.82287677805212\n            ],\n            [\n              139.25840884901504,\n              34.82287677805212\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"52","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Deane, Chanel Ashlie 0000-0002-7132-0090","orcid":"https://orcid.org/0000-0002-7132-0090","contributorId":350417,"corporation":false,"usgs":true,"family":"Deane","given":"Chanel Ashlie","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":925976,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pesicek, J.D. 0000-0001-7964-5845","orcid":"https://orcid.org/0000-0001-7964-5845","contributorId":72233,"corporation":false,"usgs":true,"family":"Pesicek","given":"J.D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925977,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Prejean, Stephanie 0000-0003-0510-1989 sprejean@usgs.gov","orcid":"https://orcid.org/0000-0003-0510-1989","contributorId":172404,"corporation":false,"usgs":true,"family":"Prejean","given":"Stephanie","email":"sprejean@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":925978,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Earle, Paul S. 0000-0002-3500-017X pearle@usgs.gov","orcid":"https://orcid.org/0000-0002-3500-017X","contributorId":173551,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":925979,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":925980,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":925981,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263852,"text":"70263852 - 2025 - Evaluation of a rapid assessment function to aid monitoring and management of common ravens (Corvus corax) in Washington state","interactions":[],"lastModifiedDate":"2025-02-26T20:32:24.517506","indexId":"70263852","displayToPublicDate":"2025-01-29T14:25:16","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Evaluation of a rapid assessment function to aid monitoring and management of common ravens (Corvus corax) in Washington state","docAbstract":"<p><span>Expanding human enterprise leading to resource subsidies for generalist species has resulted in widespread increases in common raven (</span><i>Corvus corax</i><span>) populations across the Western U.S. Ravens are an efficient predator and increased population abundance has led to adverse effects to multiple sensitive prey species. In regions where problematic interactions between ravens and their prey exist, managers seek efficient and effective tools for monitoring and controlling expanding raven populations. We previously developed a Rapid Assessment Function (RAF) for managers to quickly estimate raven population density and assess the need for management actions. We developed the RAF for the Great Basin (GB RAF) by first estimating raven density using robust distance sampling protocols with &gt;30,000 raven point count surveys from sagebrush ecosystems in California, Nevada, Idaho, and Oregon across 131 field sites and years. We then used the relationship between raven density estimates from distance sampling and&nbsp;</span><i>n</i><span>&nbsp;ravens observed</span><i><sub>site-year</sub></i><span>/&nbsp;</span><i>n</i><span>&nbsp;surveys</span><i><sub>site-year</sub></i><span>&nbsp;(that is, raven index) at each site-year combination to develop a function that accounts for detection probability and adjusts simple counts to provide a prediction of ‘true’ density. Our function produced reliable density estimates given approximately 50–100 surveys, thereby reducing the field-based and analytical efforts typically needed to estimate raven density, facilitating more efficient raven management in open sagebrush habitats. In this study, we sought to test our original GB RAF using data from sagebrush ecosystems outside of the Great Basin. Using raven point count data from two field site units in Washington state collected from 2016 to 2023, we calculated density estimates from distance sampling methods, comparable to what was done for previous analyses. We then used the GB RAF to generate predictions of density and compared those values to the more robust estimates from distance sampling. Additionally, we developed modified RAFs specifically for Washington data (WA RAFs) to assess how well they predicted raven density compared to the GB RAF. We found the detection curves estimated for the Washington sites largely aligned with those used to generate the original GB RAF. Furthermore, the estimates from the GB RAF exhibited similar or higher correlation with densities calculated from distance models (</span><i>Pearson’s r</i><span>&nbsp;= 0.73) than the modified WA RAFs with 1.33 km and 1.25 km truncation distances (</span><i>Pearson’s r</i><span>&nbsp;= 0.63 and 0.73, respectively). Producing an equivalently performing modified WA RAF would likely necessitate more data to reduce estimation error and produce more reliable estimates. These results provide evidence for the applicability of our GB RAF for more widespread use within sagebrush ecosystems, possibly negating the need for locally developed RAFs. Continued assessments of the GB RAF outside of the Great Basin would further verify its applicability across the sagebrush biome.</span></p>","language":"English","publisher":"BioRxiv","doi":"10.1101/2025.01.27.635125","usgsCitation":"Brussee, B.E., O’Neil, S.T., Atamian, M., Leingang, C., and Coates, P.S., 2025, Evaluation of a rapid assessment function to aid monitoring and management of common ravens (Corvus corax) in Washington state: BioRxiv, https://doi.org/10.1101/2025.01.27.635125.","productDescription":"27 p.","ipdsId":"IP-167957","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":489959,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1101/2025.01.27.635125","text":"Publisher Index Page"},{"id":482499,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brussee, Brianne E. 0000-0002-2452-7101 bbrussee@usgs.gov","orcid":"https://orcid.org/0000-0002-2452-7101","contributorId":4249,"corporation":false,"usgs":true,"family":"Brussee","given":"Brianne","email":"bbrussee@usgs.gov","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atamian, Michael T.","contributorId":351491,"corporation":false,"usgs":false,"family":"Atamian","given":"Michael T.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":928685,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leingang, Colin G.","contributorId":351492,"corporation":false,"usgs":false,"family":"Leingang","given":"Colin G.","affiliations":[{"id":83997,"text":"Yakima Training Center","active":true,"usgs":false}],"preferred":false,"id":928686,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coates, Peter S. 0000-0003-2672-9994 pcoates@usgs.gov","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":3263,"corporation":false,"usgs":true,"family":"Coates","given":"Peter","email":"pcoates@usgs.gov","middleInitial":"S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928687,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263082,"text":"70263082 - 2025 - Reproductive contribution of lake sturgeon transferred upstream of dams on a Great Lakes tributary","interactions":[],"lastModifiedDate":"2025-01-29T15:59:05.133308","indexId":"70263082","displayToPublicDate":"2025-01-29T09:54:30","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Reproductive contribution of lake sturgeon transferred upstream of dams on a Great Lakes tributary","docAbstract":"<p><span>Dam construction contributes to declines in the distribution and abundance of many fishes. Increasing connectivity through adult transfer can be demographically and genetically beneficial, but assessing the effects resulting from transfer can be difficult if resident fish exist upstream. Genotypes of adult and larval lake sturgeon (</span><i>Acipenser fulvescens</i><span>) were used to quantify contributions to larval recruitment from adults transferred upstream of dams on the Menominee River, USA. We evaluated whether transfer timing, sex, and adult size were associated with the odds of reproduction. Elevator transfer operations in Fall 2019, Fall 2020, and Spring 2021 resulted in 152 male and 81 female lake sturgeon transferred upstream. In 2020 and 2021, 580 and 518 larvae were genotyped. We found that 86% (201/233) of adults reproduced and 62.3% (684/1098) of offspring had transferred parents. In total, we estimated that 392 resident adults contributed to offspring production. Mixed matings accounted for 53% of offspring genotyped, increasing levels of offspring genetic diversity relative to offspring produced from resident-only matings. Transferring adults may be a viable restoration alternative for other iteroparous fish in river systems where connectivity to spawning areas has been impeded.</span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0215","usgsCitation":"Forsythe, P.S., Sard, N., Tucker, S., Atler, L., Kanefsky, J., Johnson, J., Isermann, D.A., Elliott, R., Donofrio, M., and Scribner, K., 2025, Reproductive contribution of lake sturgeon transferred upstream of dams on a Great Lakes tributary: Canadian Journal of Fisheries and Aquatic Sciences, v. 82, p. 1-16, https://doi.org/10.1139/cjfas-2024-0215.","productDescription":"16 p.","startPage":"1","endPage":"16","ipdsId":"IP-167781","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":489914,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2024-0215","text":"Publisher Index Page"},{"id":481458,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Wisconsin","otherGeospatial":"Menominee River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.75903286524687,\n              45.39088204054653\n            ],\n            [\n              -87.76382874658552,\n              45.104724301461346\n            ],\n            [\n              -87.60556466242072,\n              45.10303185355548\n            ],\n            [\n              -87.60556466242072,\n              45.39256595833842\n            ],\n            [\n              -87.75903286524687,\n              45.39088204054653\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Forsythe, Patrick S.","contributorId":167341,"corporation":false,"usgs":false,"family":"Forsythe","given":"Patrick","email":"","middleInitial":"S.","affiliations":[{"id":24696,"text":"Green Bay Fish and Wildlife Conservation Office, USGS, New Franken, Wisconsin","active":true,"usgs":false}],"preferred":false,"id":925477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sard, Nicholas M.","contributorId":342858,"corporation":false,"usgs":false,"family":"Sard","given":"Nicholas M.","affiliations":[{"id":81942,"text":"State University of New York-Oswego","active":true,"usgs":false}],"preferred":false,"id":925478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tucker, Stefan","contributorId":350202,"corporation":false,"usgs":false,"family":"Tucker","given":"Stefan","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":925479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Atler, Lexi","contributorId":350203,"corporation":false,"usgs":false,"family":"Atler","given":"Lexi","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":925480,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kanefsky, Jeannette","contributorId":243198,"corporation":false,"usgs":false,"family":"Kanefsky","given":"Jeannette","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":925481,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Jennifer","contributorId":258148,"corporation":false,"usgs":false,"family":"Johnson","given":"Jennifer","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":925482,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":925483,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Elliott, Robert F.","contributorId":348746,"corporation":false,"usgs":false,"family":"Elliott","given":"Robert F.","affiliations":[{"id":12428,"text":"U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":925484,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Donofrio, Michael","contributorId":340818,"corporation":false,"usgs":false,"family":"Donofrio","given":"Michael","email":"","affiliations":[{"id":81669,"text":"Wisconsin Department of Natural Resource (retired)","active":true,"usgs":false}],"preferred":false,"id":925485,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Scribner, Kim T.","contributorId":341328,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim T.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":925486,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70263339,"text":"70263339 - 2025 - Mapping bedrock outcrops in the Sierra Nevada Mountains (California, USA) using machine learning","interactions":[],"lastModifiedDate":"2025-02-06T15:53:28.669956","indexId":"70263339","displayToPublicDate":"2025-01-29T09:49:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Mapping bedrock outcrops in the Sierra Nevada Mountains (California, USA) using machine learning","docAbstract":"<p><span>Accurate, high-resolution maps of bedrock outcrops can be valuable for applications such as models of land–atmosphere interactions, mineral assessments, ecosystem mapping, and hazard mapping. The increasing availability of high-resolution imagery can be coupled with machine learning techniques to improve regional bedrock outcrop maps. In the United States, the existing 30 m U.S. Geological Survey (USGS) National Land Cover Database (NLCD) tends to misestimate extents of barren land, which includes bedrock outcrops. This impacts many calculations beyond bedrock mapping, including soil carbon storage, hydrologic modeling, and erosion susceptibility. Here, we tested if a machine learning (ML) model could more accurately map exposed bedrock than NLCD across the entire Sierra Nevada Mountains (California, USA). The ML model was trained to identify pixels that are likely bedrock from 0.6 m imagery from the National Agriculture Imagery Program (NAIP). First, we labeled exposed bedrock at twenty sites covering more than 83 km</span><sup>2</sup><span>&nbsp;(0.13%) of the Sierra Nevada region. These labels were then used to train and test the model, which gave 83% precision and 78% recall, with a 90% overall accuracy of correctly predicting bedrock. We used the trained model to map bedrock outcrops across the entire Sierra Nevada region and compared the ML map with the NLCD map. At the twenty labeled sites, we found the NLCD barren land class, even though it includes more than just bedrock outcrops, accounted for only 41% and 40% of mapped bedrock from our labels and ML predictions, respectively. This substantial difference illustrates that ML bedrock models can have a role in improving land-cover maps, like NLCD, for a range of science applications.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs17030457","usgsCitation":"Shastry, A.R., Cerovski-Darriau, C., Coltin, B., and Stock, J.D., 2025, Mapping bedrock outcrops in the Sierra Nevada Mountains (California, USA) using machine learning: Remote Sensing, v. 17, no. 3, 457, 11 p., https://doi.org/10.3390/rs17030457.","productDescription":"457, 11 p.","ipdsId":"IP-153917","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"links":[{"id":487628,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs17030457","text":"Publisher Index Page"},{"id":481746,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.41245311245856,\n              35.20197552578807\n            ],\n            [\n              -117.96299074904582,\n              36.06858120494961\n            ],\n            [\n              -118.86530937366612,\n              37.63884023254646\n            ],\n            [\n              -119.85965473348287,\n              38.80651233617289\n            ],\n            [\n              -120.17114612624695,\n              40.23030133169971\n            ],\n            [\n              -120.73602418336918,\n              40.662012753561754\n            ],\n            [\n              -122.36739903137283,\n              40.400491599532984\n            ],\n            [\n              -120.74692405664294,\n              38.0147515126105\n            ],\n            [\n              -119.36615838296214,\n              35.979191454701876\n            ],\n            [\n              -118.41245311245856,\n              35.20197552578807\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Shastry, Apoorva Ramesh 0000-0002-3996-4857","orcid":"https://orcid.org/0000-0002-3996-4857","contributorId":317867,"corporation":false,"usgs":true,"family":"Shastry","given":"Apoorva","email":"","middleInitial":"Ramesh","affiliations":[{"id":227,"text":"Earth Surface Dynamics Program","active":true,"usgs":true}],"preferred":true,"id":926515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cerovski-Darriau, Corina 0000-0002-0543-0902","orcid":"https://orcid.org/0000-0002-0543-0902","contributorId":221159,"corporation":false,"usgs":true,"family":"Cerovski-Darriau","given":"Corina","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Coltin, Brian","contributorId":350636,"corporation":false,"usgs":false,"family":"Coltin","given":"Brian","affiliations":[{"id":38788,"text":"NASA","active":true,"usgs":false}],"preferred":false,"id":926517,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stock, Jonathan D. 0000-0001-8565-3577 jstock@usgs.gov","orcid":"https://orcid.org/0000-0001-8565-3577","contributorId":3648,"corporation":false,"usgs":true,"family":"Stock","given":"Jonathan","email":"jstock@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":926518,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263130,"text":"70263130 - 2025 - Forecasting sea otter recolonization: Insights from isotopic analysis of modern and zooarchaeological populations","interactions":[],"lastModifiedDate":"2025-01-30T15:28:06.452327","indexId":"70263130","displayToPublicDate":"2025-01-29T09:23:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18342,"text":"Proceedings of the Royal Society B, Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Forecasting sea otter recolonization: Insights from isotopic analysis of modern and zooarchaeological populations","docAbstract":"<p><span>Retrospective datasets offer essential context for conservation by revealing species’ ecological roles before industrial-era human impacts. We analysed isotopic compositions of pre-industrial and modern sea otters (</span><i>Enhydra lutris</i><span>) to reconstruct pre-extirpation ecology and offer insights for management. Our study focuses on southeast Alaska (SEAK), where sea otters are recolonizing, and northern Oregon, where translocations are being considered. We measured bulk bone collagen&nbsp;</span><i>δ</i><sup>13</sup><span>C and&nbsp;</span><i>δ</i><sup>15</sup><span>N values and essential amino acid&nbsp;</span><i>δ</i><sup>13</sup><span>C values of extirpated sea otters from archaeological contexts, and bulk isotopic values from vibrissae of modern SEAK sea otters. We compare these results with published isotopic data of potential prey and additional archaeological datasets. In SEAK, our data show pre-industrial sea otter populations consumed infaunal bivalves and used soft-sediment (33%) and kelp forest habitats (67%), with sub-regional variation. We anticipate current populations will expand into this historical niche, and conflict with regional traditional/subsistence bivalve fisheries will persist. In northern Oregon, isotopic data from extirpated sea otters indicate past consumption of low trophic level invertebrates and a stronger reliance on kelp forests (88%) rather than soft-sediment habitats, highlighting the importance of kelp forests for future translocations. Our work exemplifies the value of historical ecology in informing conservation strategies for recovering species.</span></p>","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2024.1682","usgsCitation":"Elliott Smith, E.A., Moss, M., Wellman, H., Gill, V., Monson, D., and Newsome, S.D., 2025, Forecasting sea otter recolonization: Insights from isotopic analysis of modern and zooarchaeological populations: Proceedings of the Royal Society B, Biological Sciences, v. 292, no. 2039, 20241682, 12 p., https://doi.org/10.1098/rspb.2024.1682.","productDescription":"20241682, 12 p.","ipdsId":"IP-162071","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":499595,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11775623/","text":"External Repository"},{"id":481502,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska, Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.26359877499726,\n              46.308565616179806\n            ],\n            [\n              -124.26359877499726,\n              45.25430222380987\n            ],\n            [\n              -123.48250866767472,\n              45.25430222380987\n            ],\n            [\n              -123.48250866767472,\n              46.308565616179806\n            ],\n            [\n              -124.26359877499726,\n              46.308565616179806\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -134.6258986222449,\n              59.17859339162297\n            ],\n            [\n              -137.37101203559084,\n              58.25218310558745\n            ],\n            [\n              -133.21606440626744,\n              54.52221277170722\n            ],\n            [\n              -131.50965539994962,\n              54.47095791058172\n            ],\n            [\n              -130.7340511065769,\n              55.94266269565489\n            ],\n            [\n              -134.6258986222449,\n              59.17859339162297\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"292","issue":"2039","noUsgsAuthors":false,"publicationDate":"2025-01-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Elliott Smith, Emma A.","contributorId":140743,"corporation":false,"usgs":false,"family":"Elliott Smith","given":"Emma","email":"","middleInitial":"A.","affiliations":[{"id":13339,"text":"University of New Mexico, Albuquerque","active":true,"usgs":false}],"preferred":false,"id":925637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moss, Madonna L.","contributorId":350305,"corporation":false,"usgs":false,"family":"Moss","given":"Madonna L.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":925638,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wellman, Hannah P.","contributorId":350306,"corporation":false,"usgs":false,"family":"Wellman","given":"Hannah P.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":925639,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gill, Verena A.","contributorId":140658,"corporation":false,"usgs":false,"family":"Gill","given":"Verena A.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":925640,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Monson, Daniel 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":196670,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":925641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Newsome, Seth D.","contributorId":81640,"corporation":false,"usgs":false,"family":"Newsome","given":"Seth","email":"","middleInitial":"D.","affiliations":[{"id":7000,"text":"Department of Biology, University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":925642,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263340,"text":"70263340 - 2025 - The effectiveness of wildfire at meeting restoration goals across a fire severity gradient in the Sierra Nevada","interactions":[],"lastModifiedDate":"2025-02-06T15:23:26.879574","indexId":"70263340","displayToPublicDate":"2025-01-29T09:17:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"The effectiveness of wildfire at meeting restoration goals across a fire severity gradient in the Sierra Nevada","docAbstract":"<p><span>As a consequence of both warming temperatures and over a century of fire suppression, wildfires in the historically frequent-fire forests of the western US have increased both in size and intensity, resulting in large patches of high severity fire that are well outside the historic range of variation. Postfire fuels research has often focused on such high severity patches because of the risk of both type conversion and repeated high severity fire. Yet a substantial portion of any given wildfire will likely still have burned at low to moderate severity. These areas generally retain live mature trees and surface fuels, suggesting that wildfire effects may be in keeping with some forest restoration goals. To better understand the range of postfire fuels conditions across severity classes and how well those conditions align with restoration targets, we sampled three wildfires in mixed conifer forests and giant sequoia groves of the southern Sierra Nevada. These wildfires appear to have met short-term restoration goals for surface fuel reduction, with burned areas having 79.5 % less fuels than unburned areas. Fine woody debris and litter and duff declined with severity, while coarse woody debris was more variable. Small tree density targets were roughly met after low and moderate severity fire, but large tree densities tended to be lower than restoration targets, possibly due to high levels of recent tree mortality. For long-term management, restoration plans set targets for the proportions of the landscape that should be in different fuel load categories, reflecting patterns shaped by many frequent and patchy fires. Observed post-wildfire surface fuels outside of groves were overwhelmingly in the lowest fuels category across severity classes, which is in keeping with short-term goals to reduce surface fuels but is not necessarily contributing to the heterogeneity desired at landscape scales. Surface fuels within giant sequoia groves were higher than those outside groves and therefore more closely matched long-term management targets for variation in fuel loads. However, for a highly valued species that has recently seen substantial losses to high severity fire, managers may find that these higher fuel loads are not desirable even in a landscape context. In summary, low and moderate severity wildfire appear to have beneficial effects in terms of meeting several management goals, however, the large amount of standing postfire fuels, the relative dearth of large trees, and the potential lack of postfire fuel heterogeneity may still pose potential management concerns.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2024.122486","usgsCitation":"Das, A., Rosenthal, L., and Shive, K.L., 2025, The effectiveness of wildfire at meeting restoration goals across a fire severity gradient in the Sierra Nevada: Forest Ecology and Management, v. 580, https://doi.org/10.1016/j.foreco.2024.122486.","productDescription":"122486, 14 p.","startPage":"122486","ipdsId":"IP-170573","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":487023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2024.122486","text":"Publisher Index Page"},{"id":481738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Kings Canyon National Park,  Sequoia National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.9,\n              36.7\n            ],\n            [\n              -118.9,\n              36.3\n            ],\n            [\n              -118.3,\n              36.3\n            ],\n            [\n              -118.3,\n              36.7\n            ],\n            [\n              -118.9,\n              36.7\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"580","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":926519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenthal, Lisa 0000-0003-4030-7587","orcid":"https://orcid.org/0000-0003-4030-7587","contributorId":350637,"corporation":false,"usgs":false,"family":"Rosenthal","given":"Lisa","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":926520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shive, Kristen L.","contributorId":194877,"corporation":false,"usgs":false,"family":"Shive","given":"Kristen","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":926521,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70269526,"text":"70269526 - 2025 - What 25+ years of \"Did You Feel It\" intensities tell us about shaking in California","interactions":[],"lastModifiedDate":"2025-07-25T13:32:19.484813","indexId":"70269526","displayToPublicDate":"2025-01-29T08:28:22","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":"What 25+ years of \"Did You Feel It\" intensities tell us about shaking in California","docAbstract":"<p><span>“When will the Big One happen?” is a question that people often have for earthquake scientists. But while waiting for the “Big One” to occur, people will usually experience frightening or damaging shaking from multiple relatively smaller‐magnitude earthquakes. Given this context, it raises the question: “Where does most of the damage come from?” Could smaller, yet more frequent, earthquakes account for the majority of reported impactful shaking? To explore this question, we consider reports of earthquake damage and felt shaking experiences from a catalog of community‐collected intensity values from the U.S. Geological Survey’s “Did You Feel It?” system. Comparing these intensities to expectations from a ground‐motion model, we find that earthquakes of magnitudes smaller than expected are responsible for most reported intensities of community decimal intensities (CDI) 4.5 and above (moderate and higher shaking intensity levels). (Here “expected value” is meant in its mathematical sense of the mean or equivalently median shaking intensity.) We also present a regional analysis of observed earthquake shaking for specific areas, detailing the maximum intensity experienced within a predetermined area. We identify several instances of&nbsp;</span><strong>M</strong><span>&nbsp;&lt; 4.5 events that generated maximum intensities of CDI &gt; 5 in regions in California surrounding the cities of Eureka, San Francisco, Los Angeles, and San Diego. Our results motivate the need to include smaller‐magnitude earthquakes in communications about earthquake hazard and risk reduction.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240393","usgsCitation":"Chaffeur, J., Saunders, J.K., Minson, S.E., Baltay Sundstrom, A.S., Cochran, E.S., Hough, S., Quitoriano, V., Page, M.T., and Blair, J.L., 2025, What 25+ years of \"Did You Feel It\" intensities tell us about shaking in California: Seismological Research Letters, v. 96, no. 4, p. 2625-2637, https://doi.org/10.1785/0220240393.","productDescription":"13 p.","startPage":"2625","endPage":"2637","ipdsId":"IP-171178","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":492900,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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sminson@usgs.gov","orcid":"https://orcid.org/0000-0001-5869-3477","contributorId":5357,"corporation":false,"usgs":true,"family":"Minson","given":"Sarah","email":"sminson@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943973,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":943974,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943975,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":350979,"corporation":false,"usgs":true,"family":"Hough","given":"Susan E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943976,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Quitoriano, Vince 0000-0003-4157-1101 vinceq@usgs.gov","orcid":"https://orcid.org/0000-0003-4157-1101","contributorId":2582,"corporation":false,"usgs":true,"family":"Quitoriano","given":"Vince","email":"vinceq@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":943977,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943978,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Blair, James Luke 0000-0002-6980-6446","orcid":"https://orcid.org/0000-0002-6980-6446","contributorId":213724,"corporation":false,"usgs":true,"family":"Blair","given":"James","email":"","middleInitial":"Luke","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":943979,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70262822,"text":"sir20245105 - 2025 - Groundwater hydrology, groundwater and surface-water interactions, water quality, and groundwater-flow simulations for the Wet Mountain Valley alluvial aquifer, Custer and Fremont Counties, Colorado, 2017–19","interactions":[],"lastModifiedDate":"2025-01-29T14:30:56.495951","indexId":"sir20245105","displayToPublicDate":"2025-01-28T12:40:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5105","displayTitle":"Groundwater Hydrology, Groundwater and Surface-Water Interactions, Water Quality, and Groundwater-Flow Simulations for the Wet Mountain Valley Alluvial Aquifer, Custer and Fremont Counties, Colorado, 2017–19","title":"Groundwater hydrology, groundwater and surface-water interactions, water quality, and groundwater-flow simulations for the Wet Mountain Valley alluvial aquifer, Custer and Fremont Counties, Colorado, 2017–19","docAbstract":"<p>In 2017, the U.S. Geological Survey, in cooperation with the Upper Arkansas Water Conservancy District, began a study to provide a comprehensive analysis of the Wet Mountain Valley alluvial aquifer, Custer and Fremont Counties, Colorado. The study included collection of data pertaining to groundwater hydrology, groundwater and surface-water interactions, and water quality in the alluvial aquifer. In addition to providing foundational information on the hydrology of the alluvial aquifer, a numerical groundwater-flow model was developed to estimate the potential effects of additional storage of groundwater in the alluvial aquifer.</p><p>Groundwater-level elevation data from 30 wells were used to estimate groundwater-flow directions in the alluvial aquifer, which were generally from the southwest to northeast, away from the Sangre de Cristo Mountains and towards perennial streams in the center of the valley. Although some seasonal variation was apparent in groundwater-level elevation records, no statistically significant seasonal trends were indicated. Statistically significant long-term trends were indicated in groundwater-level elevation records for 8 of the 30 wells, and of these wells with statistically significant trends, all but 1 indicated a negative trend of groundwater-level elevations. Spatial evaluation of wells with statistically significant negative groundwater-level elevation trends showed many are in areas of denser well drilling for domestic or other uses, indicating increasing groundwater use could potentially be causing groundwater-level elevation declines. There were instances of wells with no statistically significant groundwater-level elevation trends also located in areas of greater density of well completions. Additional investigations may be necessary to more fully characterize the processes responsible for negative groundwater-level elevation trends.</p><p>Streamflow gain or loss calculations were completed for low flow in 2017–19 and for high flow in 2018 in nine reaches of streams within the study area. Stream reaches of the upper Texas Creek, upper Grape Creek, upper-middle Grape Creek, and Taylor Creek displayed consistent streamflow loss in each period from 2017 to 2019. These stream reaches represent long-term sources of recharge to the alluvial aquifer. Streamflow gain or loss varies through time in other stream reaches (lower Texas Creek, lower-middle Grape Creek, lower Grape Creek below Westcliffe, and lower Grape Creek above DeWeese Reservoir). The temporally variable behavior indicates these stream reaches may be sources of groundwater recharge or areas of groundwater discharge, likely depending on temporal dynamics between the elevation of the water table and the stream.</p><p>Water-quality samples were collected from 10 groundwater wells and 10 stream sites during September through November 2019. All groundwater and stream samples were analyzed for major and trace elements and stable isotopes of water. A subset of groundwater samples was also analyzed for the environmental tracers sulfur hexafluoride, tritium, and noble gases. Comparison of water-quality results to U.S. Environmental Protection Agency drinking water-quality standards indicated no constituents exceeded primary standards for human health. Spatial evaluation of water quality indicated the concentrations of various constituents are likely controlled by groundwater and surface-water interactions and by spatial variability in bedrock geology underlying the alluvial aquifer. Specifically, streams shown to gain from groundwater had water chemistry constituent compositions similar to groundwater, whereas streams exiting the Sangre de Cristo Mountains tended to have compositions consistent with snowmelt. Groundwater geochemistry appeared to be partially controlled by oxidation-reduction processes and by proximity to igneous rocks in the Wet Mountains. Environmental tracers used to estimate groundwater age indicated all sampled groundwater contained tracers representing modern recharge (approximately less than 65 years old) but mixing of premodern recharge (approximately more than 65 years old) also occurs. Spatial evaluation of environmental tracers indicated large faults may be conduits for upwelling of older groundwater. No trends were observed in groundwater age with well depth, indicating all sampled wells are located within the zone of active groundwater flow. The presence of modern groundwater in wells with statistically significant negative groundwater-level elevation trends indicates groundwater storage depletions may be partially offset by capture of modern recharge. Repeated sampling of groundwater age would be necessary, however, to determine if any trends in groundwater age exist, which may indicate changing groundwater recharge, storage, or discharge. Additional investigations could also consider quantifying groundwater age in deeper wells to more fully define the depth of active groundwater flow.</p><p>A numerical groundwater-flow model was developed to estimate components of the water budget, simulate groundwater and surface-water interactions, and evaluate the potential effects of aquifer storage and recovery. Simulated groundwater-level elevations from the calibrated groundwater-flow model are similar to the observed pattern of groundwater-level elevations with higher elevations in the western part of the study area along the Sangre de Cristo Mountains. Simulated water-budget components indicate most of the recharge to the alluvial aquifer is derived from streamflow losses, which is consistent with observations of losing streams along the mountain front. The largest groundwater discharge component of the alluvial aquifer was to streams in the center of the valley, where observations of stream gain or loss indicated the predominance of gaining conditions. Comparison of groundwater and surface-water interactions between the calibrated groundwater-flow model for 2000-19 (the base-case model) and a simulation including additional recharge, representing potential aquifer storage and recovery operations, indicated the additional recharge distributed throughout the area had minimal effects on streamflow in the nearby Grape Creek. An analysis of subregional groundwater budgets showed approximately 54 percent of the additional recharge flowed back to nearby Grape Creek, and the other 46 percent was distributed laterally into adjacent cells in the alluvial aquifer. The comparison of simulations and subregional water budget show the additional recharge did not substantially alter groundwater-level elevations or basin wide groundwater storage. Although the analysis of additional recharge provided in the numerical groundwater-flow model considers only one of many possible recharge scenarios, the model provides a useful tool that could be modified for various scenarios to understand potential effects of managed aquifer recharge.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20245105","collaboration":"Prepared in cooperation with the Upper Arkansas Water Conservancy District","usgsCitation":"Newman, C.P., Russell, C.A., Kisfalusi, Z.D., and Paschke, S.S., 2025, Groundwater hydrology, groundwater and surface-water interactions, water quality, and groundwater-flow simulations for the Wet Mountain Valley alluvial aquifer, Custer and Fremont Counties, Colorado, 2017–19: U.S. Geological Survey Scientific Investigations Report 2024–5105, 62 p., https://doi.org/10.3133/sir20245105.","productDescription":"Report: vii, 62 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-125470","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":481114,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5105/coverthb.jpg"},{"id":481115,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5105/sir20245105.pdf","text":"Report","size":"12.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5105"},{"id":481144,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9342SSP","text":"USGS data release","linkHelpText":"Environmental tracer model for the Wet Mountain Valley alluvial aquifer, Custer and Fremont Counties, Colorado, 2019"},{"id":481145,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AAUGNY","text":"USGS data release","linkHelpText":"Groundwater-flow model of the Wet Mountain Valley alluvial aquifer, Custer and Fremont Counties, Colorado"},{"id":481407,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5105/images"},{"id":481408,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5105/sir20245105.xml"},{"id":481417,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245105/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5105"}],"country":"United States","state":"Colorado","county":"Custer County, Fremont County","otherGeospatial":"Upper Arkansas River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.1667,\n              38.5\n            ],\n            [\n              -105.1667,\n              37.9167\n            ],\n            [\n              -105.9167,\n              37.9167\n            ],\n            [\n              -105.9167,\n              38.5\n            ],\n            [\n              -105.1667,\n              38.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/colorado-water-science-center/\" data-mce-href=\"https://www.usgs.gov/centers/colorado-water-science-center/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 415<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Study Methods</li><li>Groundwater Hydrology</li><li>Groundwater and Surface-Water Interactions</li><li>Water Quality</li><li>Groundwater-Flow Simulations </li><li>Model Limitations</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2025-01-28","noUsgsAuthors":false,"publicationDate":"2025-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, Cory A. 0000-0001-6358-1605","orcid":"https://orcid.org/0000-0001-6358-1605","contributorId":223018,"corporation":false,"usgs":true,"family":"Russell","given":"Cory","email":"","middleInitial":"A.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kisfalusi, Zachary D. 0000-0001-6016-3213","orcid":"https://orcid.org/0000-0001-6016-3213","contributorId":222422,"corporation":false,"usgs":true,"family":"Kisfalusi","given":"Zachary","email":"","middleInitial":"D.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924932,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paschke, Suzanne S. 0000-0002-3471-4242 spaschke@usgs.gov","orcid":"https://orcid.org/0000-0002-3471-4242","contributorId":1347,"corporation":false,"usgs":true,"family":"Paschke","given":"Suzanne","email":"spaschke@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924933,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264802,"text":"70264802 - 2025 - A comprehensive assessment of membrane bioreactor contaminant removal efficacy through analytical chemistry, fish exposures, and microbiome characterization","interactions":[],"lastModifiedDate":"2025-05-28T14:51:59.005691","indexId":"70264802","displayToPublicDate":"2025-01-28T10:21:03","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"A comprehensive assessment of membrane bioreactor contaminant removal efficacy through analytical chemistry, fish exposures, and microbiome characterization","docAbstract":"Treated municipal wastewater effluent is an important pathway for Contaminants of Emerging Concern (CEC) to enter aquatic ecosystems. As the aging wastewater infrastructure in many industrialized countries requires upgrades or replacement, assessing new treatment technologies in the context of CEC effects may provide additional support for science-based resource management. Here, we used three lines of evidence, analytical chemistry, fish exposure experiments, and fish and water microbiome analysis, to assess the effectiveness of membrane bioreactor treatment (MBR) to replace traditional activated sludge treatment. To do this, we sampled a municipal wastewater treatment plant with a split wastewater stream, a portion of which was treated with an MBR and another via an oxidation ditch (OXI). The OXI and MBR treatments substantially reduced most measured CECs compared to the primary effluent (PRI). Only pesticides and some pharmaceuticals were recalcitrant to both secondary treatment methods. While ammonia toxicity of PRI prevented its inclusion in fish exposure experiments, exposure of fish with waters from the OXI or MBR treated wastewater produced only subtle biological differences with no adverse apical outcomes. These findings were consistent with low chemically derived exposure: activity ratios for OXI and MBR. Microbiome analysis of fish and wastewater highlighted the significant reduction of microbial abundance and diversity in the MBR treatment compared to all other treatments. The comparable removal efficacy of CECs in MBR makes it an attractive alternative to traditional OXI, especially when MBR may eliminate the need for tertiary treatment for wastewater disinfection.","language":"English","publisher":"Oxford Academic","doi":"10.1093/etojnl/vgaf027","usgsCitation":"Christen, C.H., Elliott, S.M., Kiesling, R.L., VanDenBoom, A., Kohno, S., Givens, C.E., and Schoenfuss, H., 2025, A comprehensive assessment of membrane bioreactor contaminant removal efficacy through analytical chemistry, fish exposures, and microbiome characterization: Environmental Toxicology and Chemistry, v. 44, no. 5, p. 1272-1288, https://doi.org/10.1093/etojnl/vgaf027.","productDescription":"17 p.","startPage":"1272","endPage":"1288","ipdsId":"IP-163792","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":483826,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Christen, Charles H.","contributorId":296267,"corporation":false,"usgs":false,"family":"Christen","given":"Charles","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":931750,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Sarah M. 0000-0002-1414-3024 selliott@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-3024","contributorId":1472,"corporation":false,"usgs":true,"family":"Elliott","given":"Sarah","email":"selliott@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931751,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kiesling, Richard L. 0000-0002-3017-1826 kiesling@usgs.gov","orcid":"https://orcid.org/0000-0002-3017-1826","contributorId":1837,"corporation":false,"usgs":true,"family":"Kiesling","given":"Richard","email":"kiesling@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931752,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"VanDenBoom, Alissa","contributorId":352580,"corporation":false,"usgs":false,"family":"VanDenBoom","given":"Alissa","affiliations":[{"id":20306,"text":"St. Cloud State University","active":true,"usgs":false}],"preferred":false,"id":931753,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kohno, Satomi 0000-0001-6184-3616","orcid":"https://orcid.org/0000-0001-6184-3616","contributorId":350516,"corporation":false,"usgs":true,"family":"Kohno","given":"Satomi","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":931754,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Givens, Carrie E. 0000-0003-2543-9610","orcid":"https://orcid.org/0000-0003-2543-9610","contributorId":247691,"corporation":false,"usgs":true,"family":"Givens","given":"Carrie","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931755,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schoenfuss, Heiko L.","contributorId":332311,"corporation":false,"usgs":false,"family":"Schoenfuss","given":"Heiko L.","affiliations":[{"id":20306,"text":"St. Cloud State University","active":true,"usgs":false}],"preferred":false,"id":931756,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70269256,"text":"70269256 - 2025 - Evaluating how changing climate and water clarity can affect restoration of native coregonine fishes in midwestern lakes","interactions":[],"lastModifiedDate":"2026-03-16T15:21:17.292514","indexId":"70269256","displayToPublicDate":"2025-01-28T10:14:27","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"title":"Evaluating how changing climate and water clarity can affect restoration of native coregonine fishes in midwestern lakes","docAbstract":"<p>In the upper midwestern United States, coregonine fishes (e.g., ciscoes and whitefishes) have provided a key food source for Indigenous peoples since time immemorial. In the last century, however, several anthropogenic stressors including overfishing, declining quality of key habitat (e.g., dams, algal blooms), and negative interactions with invasive species have led to declines in the fisheries that coregonines support. Hence, fishery managers have undertaken steps to conserve existing diversity or re-introduce species that have been locally extirpated. This study assessed the extent to which changes in water clarity and climate pose challenges for conservation of coregonines and sought to provide information to inform management decisions about which populations would be best for reintroduction. Through experiments, we found that a Cisco (<i>Coregonus artedi</i>) population at the southern edge of its range had no marked advantages in respiration or thermal tolerance, relative to a northern Great Lake population. This result indicates that the latter population would be a reasonable candidate for reintroduction in Lake Erie, where warming water could be a potential impediment. Other laboratory experiments revealed that Cisco could be vulnerable to increasing ultraviolet radiation (UV; 280 – 320 nm) penetration in lakes due to reduced ice cover and increased water clarity owing to water quality improvements and/or invasive mussel filtration. Our experiments found that UV exposure causes earlier hatching, more irregular pigmentation near the head and yolk-sac region, and reduced heart rate. Therefore, UV could be a heretofore unrealized threat to Cisco populations. Through the completion of additional final products from this project and additional research connecting laboratory and field data together, the extent to which the eggs and larvae of coregonine species could be vulnerable to increased UV associated with increasing water clarity or reduced ice cover will help inform restoration or conservation planning for these fish.</p>","language":"English","publisher":"Midwest Climate Adaptation Science Center","usgsCitation":"Bunnell, D., Berry, N., Simonson, M.A., Madenjian, C.P., Keeler, K., Schmitt, J., Lynch, A., Hansen, G., Overholt, E., Jacobson, P., Schoenbeck, C., Williamson, C.E., and Ahrenstorff, T., 2025, Evaluating how changing climate and water clarity can affect restoration of native coregonine fishes in midwestern lakes: Cooperator Report, 13 p.","productDescription":"13 p.","ipdsId":"IP-174896","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":492388,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cascprojects.org/#/project/5e2f3f59e4b0a79317d422af/60ba6641d34e86b9388d8fd7"},{"id":501177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bunnell, David 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":217344,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":943297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Nicole Lynn 0000-0002-7889-197X","orcid":"https://orcid.org/0000-0002-7889-197X","contributorId":347450,"corporation":false,"usgs":true,"family":"Berry","given":"Nicole Lynn","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":943298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simonson, Martin Albert 0000-0002-1284-8055","orcid":"https://orcid.org/0000-0002-1284-8055","contributorId":343964,"corporation":false,"usgs":true,"family":"Simonson","given":"Martin","email":"","middleInitial":"Albert","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":943299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Madenjian, Charles P. 0000-0002-0326-164X cmadenjian@usgs.gov","orcid":"https://orcid.org/0000-0002-0326-164X","contributorId":2200,"corporation":false,"usgs":true,"family":"Madenjian","given":"Charles","email":"cmadenjian@usgs.gov","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":943300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Keeler, Kevin 0000-0002-8118-0060","orcid":"https://orcid.org/0000-0002-8118-0060","contributorId":203484,"corporation":false,"usgs":true,"family":"Keeler","given":"Kevin","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":943301,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schmitt, Joseph 0000-0002-8354-4067","orcid":"https://orcid.org/0000-0002-8354-4067","contributorId":221020,"corporation":false,"usgs":true,"family":"Schmitt","given":"Joseph","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":943302,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lynch, Abigail 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":220490,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":943303,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hansen, Gretchen","contributorId":174810,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":943304,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Overholt, Erin P. 0000-0001-9078-7086","orcid":"https://orcid.org/0000-0001-9078-7086","contributorId":347452,"corporation":false,"usgs":false,"family":"Overholt","given":"Erin P.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":943305,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jacobson, Peter","contributorId":278657,"corporation":false,"usgs":false,"family":"Jacobson","given":"Peter","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":943306,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schoenbeck, Casey","contributorId":358229,"corporation":false,"usgs":false,"family":"Schoenbeck","given":"Casey","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":943307,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Williamson, Craig E.","contributorId":146436,"corporation":false,"usgs":false,"family":"Williamson","given":"Craig","email":"","middleInitial":"E.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":943308,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ahrenstorff, Tyler D. 0000-0003-0032-8746","orcid":"https://orcid.org/0000-0003-0032-8746","contributorId":347470,"corporation":false,"usgs":false,"family":"Ahrenstorff","given":"Tyler D.","affiliations":[{"id":83163,"text":"Minnesota Dept. of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":943309,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70263237,"text":"70263237 - 2025 - The importance of method selection when estimating diet composition with quantitative fatty acid signature analysis","interactions":[],"lastModifiedDate":"2025-02-03T16:00:18.361919","indexId":"70263237","displayToPublicDate":"2025-01-28T09:38:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"The importance of method selection when estimating diet composition with quantitative fatty acid signature analysis","docAbstract":"<p><span>Quantitative fatty acid signature analysis (QFASA) is a common method of estimating the composition of prey species in the diets of consumers from polar and temperate ecosystems in which lipids are an important source of energy. A key characteristic of QFASA is that the large number of fatty acids that typically comprise lipids permits the dietary contributions of a correspondingly large number of prey types to be estimated. Several modifications to the original QFASA methods have been suggested in the literature and a significant extension of the original model published in 2017 allows simultaneous estimation of both diet proportions and calibration coefficients, which are metabolic constants in the model whose values must otherwise be estimated in independent feeding experiments. However, comparisons of diet estimates obtained using different estimation options have been limited. QFASA has been used to estimate the diet composition of several polar bear (</span><i>Ursus maritimus</i><span>) subpopulations, including the Southern Beaufort Sea (SBS) subpopulation. Prior QFASA estimates of SBS polar bear diet composition have most often been obtained using variations of the original QFASA model. We investigated the influence of variations in QFASA analytical methods on diet estimates by re-estimating the diet composition of polar bears from the Alaska portion of the SBS using three different methods and found that differences among the three sets of estimates were substantial. Our results illustrate how important the careful and deliberate selection of QFASA methods can be and we provide some guidance on techniques one might use to evaluate options.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0308283","usgsCitation":"Bromaghin, J.F., Atwood, T.C., and Rode, K.D., 2025, The importance of method selection when estimating diet composition with quantitative fatty acid signature analysis: PLoS ONE, v. 20, no. 1, e0308283, 15 p., https://doi.org/10.1371/journal.pone.0308283.","productDescription":"e0308283, 15 p.","ipdsId":"IP-162413","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":487613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0308283","text":"Publisher Index Page"},{"id":481610,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Bromaghin, Jeffrey F. 0000-0002-7209-9500 jbromaghin@usgs.gov","orcid":"https://orcid.org/0000-0002-7209-9500","contributorId":139899,"corporation":false,"usgs":true,"family":"Bromaghin","given":"Jeffrey","email":"jbromaghin@usgs.gov","middleInitial":"F.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":925982,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":925983,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":925984,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265699,"text":"70265699 - 2025 - Integrating sea level rise scenarios into Everglades restoration planning","interactions":[],"lastModifiedDate":"2025-04-15T14:06:33.601383","indexId":"70265699","displayToPublicDate":"2025-01-28T09:03:52","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"title":"Integrating sea level rise scenarios into Everglades restoration planning","docAbstract":"One of the largest and most expensive restoration efforts in the world is occurring in the Everglades, a sub-tropical freshwater wetland system located in southern Florida. This unique ecosystem supports several endangered species, provides flood control for Florida’s large urban population, and provides water for both agriculture and drinking supply within the state. The Comprehensive Everglades Restoration Plan (CERP), authorized by Congress in 2000, guides federal, state, and local efforts to build the infrastructure necessary to bring more water into the Everglades and restore its ecological integrity, while balancing other water-related needs such as water supply and flood protection in the human environment. The Everglades encompasses the southern coast of Florida and restoration efforts are likely to be impacted by climate-induced sea level rise. However, currently, many project planning studies do not formally incorporate the potential impacts of sea level rise when evaluating restoration plan outcomes. Resource managers and project planners require methods and tools to confidently incorporate scenarios of sea level rise into their evaluations. The U.S. Geological Survey (USGS) and partners from the University of Florida worked with project planners from multiple agencies to identify restoration questions for consideration when addressing sea level rise. In addition, our project team sought to understand the types of sea level rise decision-support tools that would be of interest, and then worked with Everglades restoration managers and project planners to develop those tools. The tools developed by this project can be used by project planners to inform their decision-making abilities when considering multiple restoration plans across the Everglades landscape. Specifically, the novel ways to visualize output information from ecological models that came of this project can help project planners compare alternative restoration plans that include potential sea level rise impacts. This effort demonstrates how incorporating sea level rise scenarios into Everglades restoration project planning can help managers decide whether projects will maintain or improve ecological integrity and evaluate water availability for wildlife and humans.","language":"English","publisher":"Southeast Climate Adaptation Science Center","usgsCitation":"D’Acunto, L., Romanach, S., Castellano, S., and Clarke, M., 2025, Integrating sea level rise scenarios into Everglades restoration planning: Final Report, 15 p.","productDescription":"15 p.","ipdsId":"IP-174419","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":484573,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":484519,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://secasc.ncsu.edu/science/everglades-slr/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":933335,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":223479,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":933336,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Castellano, Stephanie","contributorId":353362,"corporation":false,"usgs":false,"family":"Castellano","given":"Stephanie","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":933338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clarke, Mysha","contributorId":353361,"corporation":false,"usgs":false,"family":"Clarke","given":"Mysha","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":933337,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70270401,"text":"70270401 - 2025 - Micropaleontological evidence of a submarine fan in the lower Coaledo Formation, southwestern Oregon, USA: Reply","interactions":[],"lastModifiedDate":"2025-08-19T13:56:58.671259","indexId":"70270401","displayToPublicDate":"2025-01-28T08:54:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2294,"text":"Journal of Foraminiferal Research","active":true,"publicationSubtype":{"id":10}},"title":"Micropaleontological evidence of a submarine fan in the lower Coaledo Formation, southwestern Oregon, USA: Reply","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Cushman Foundation for Foraminiferal Research","doi":"10.61551/gsjfr.55.1.87","usgsCitation":"McDougall, K., 2025, Micropaleontological evidence of a submarine fan in the lower Coaledo Formation, southwestern Oregon, USA: Reply: Journal of Foraminiferal Research, v. 55, no. 1, p. 87-94, https://doi.org/10.61551/gsjfr.55.1.87.","productDescription":"8 p.","startPage":"87","endPage":"94","ipdsId":"IP-172705","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":498857,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.61551/gsjfr.55.1.87","text":"Publisher Index Page"},{"id":494298,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-28","publicationStatus":"PW","contributors":{"authors":[{"text":"McDougall, Kristen 0000-0002-8788-3664","orcid":"https://orcid.org/0000-0002-8788-3664","contributorId":52673,"corporation":false,"usgs":true,"family":"McDougall","given":"Kristen","email":"","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":946316,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70263165,"text":"70263165 - 2025 - Prairie Falcon (Falco mexicanus) abundance in a National Conservation Area in Idaho has increased since the 1970s–1990s","interactions":[],"lastModifiedDate":"2025-01-30T14:47:32.073383","indexId":"70263165","displayToPublicDate":"2025-01-28T08:43:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Prairie Falcon (Falco mexicanus) abundance in a National Conservation Area in Idaho has increased since the 1970s–1990s","docAbstract":"<p><span>The Morley Nelson Snake River Birds of Prey National Conservation Area (NCA), in southwestern Idaho, USA supports a large population of breeding Prairie Falcons (</span><i>Falco mexicanus</i><span>). Abundance of Prairie Falcons in the NCA was previously monitored in 1976–1978 and 1990–1994. That research indicated maximum counts for each period in 1976 and 1992 and a possible population decline across that time span. We assessed the abundance and nesting success of Prairie Falcons in the NCA in 2002–2003 and 2019–2021, and we compared results to data from before 2000 to assess possible population change. Number of nesting pairs increased over 45 years from peak counts of 206, 193, and 217 in the 1970s, 1990s, and early 2000s, respectively, to 257 in 2021. Increases were not concentrated in one region, but widely distributed across the study area. Rates of nesting success in 2002–2003 and 2019–2021 averaged 57 ± 11.8% (SD) at 49.8 ± 3.3 nests observed each year and did not differ from pre-2000 rates. Finally, our analysis showed that in all 10 years in which a full census was conducted, a sampling approach to surveys would have been effective at estimating the number of falcons nesting within the NCA. Prairie Falcons are of conservation concern because of possible population declines in parts of their range. These results illustrate an area with apparently increasing numbers of this important species and highlight the importance of long-term surveys for tracking population fluctuations and the value of a national conservation area for providing raptor breeding habitat.</span></p>","language":"English","publisher":"The Raptor Research Foundation, Inc.","doi":"10.3356/jrr2395","usgsCitation":"Alsup, S., Belthoff, J.R., Steenhof, K., Kochert, M.N., and Katzner, T., 2025, Prairie Falcon (Falco mexicanus) abundance in a National Conservation Area in Idaho has increased since the 1970s–1990s: Journal of Raptor Research, v. 59, no. 1, p. 1-13, https://doi.org/10.3356/jrr2395.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-160247","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":498250,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70262914,"text":"70262914 - 2025 - Hotter temperatures alter riparian plant outcomes under regulated river conditions","interactions":[],"lastModifiedDate":"2025-01-28T15:42:49.175773","indexId":"70262914","displayToPublicDate":"2025-01-27T09:39:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1459,"text":"Ecological Monographs","active":true,"publicationSubtype":{"id":10}},"title":"Hotter temperatures alter riparian plant outcomes under regulated river conditions","docAbstract":"<p><span>Climate change and river regulation alter environmental controls on riparian plant occurrence and cover worldwide. Simultaneous changes to river flow and air temperature could result in unanticipated plant responses to novel environmental conditions. Increasing temperature could alter riparian plant response to hydrology and other factors, while river regulation may exacerbate environmental stress through novel flows like those resulting from power generation. Further, plant establishment and growth may require differing conditions, which may be decoupled by novel conditions. Using a large dataset that spans a natural 5°C mean annual temperature (MAT) gradient and a Bayesian model that integrates plant occurrence and cover, we address four questions: (1) Does hotter MAT modify plant response to hydrology, substrate composition, topography, and cover of co-occurring plant species? (2) Does the timing of hydropower tides benefit some species over others? (3) Does dam-induced erosion hinder riparian species more than upland species? (4) Do occurrence and cover respond to different environmental variables, allowing for decoupling of life history processes? We addressed these questions with data collected along 364 km of the Colorado River downstream of Glen Canyon Dam, Arizona, United States of America. Occurrence and cover class were recorded in &gt;10,000 plots from 2016 to 2020, along with environmental covariates that repeat across the climate gradient. For 36 species, plant occurrence and cover were modeled with respect to MAT, hydrology, substrate, topography, other plant cover, and their interactions with MAT. There were four key results. (1) Increasing MAT will not only directly influence plants but will mediate their responses to the environment, including greater dependence on stable water supplies. (2) The timing of hydropower tides shapes plant community composition. (3) Dam-related erosion has an outsized effect on riparian species, which could lead to a loss of regionally unique plant species. (4) For all species, the most important covariates driving occurrence differed from those for cover, suggesting the potential for these life stages to be decoupled. Not only will climate change and river regulation independently alter plant distributions, interactions among hotter temperature, dam-controlled flow patterns, and limited fine sediments will determine which species flourish or perish under future conditions.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.1645","usgsCitation":"Palmquist, E.C., Ogle, K., Butterfield, B.J., Whitham, T.G., Allan, G.J., and Shafroth, P., 2025, Hotter temperatures alter riparian plant outcomes under regulated river conditions: Ecological Monographs, v. 95, no. 1, e1645, 21 p., https://doi.org/10.1002/ecm.1645.","productDescription":"e1645, 21 p.","ipdsId":"IP-159047","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":481415,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Colorado River downstream of Glen Canyon Dam","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.21176601160529,\n              36.979125233919234\n            ],\n            [\n              -113.97825341279814,\n              36.979125233919234\n            ],\n            [\n              -113.97825341279814,\n              35.65153018969767\n            ],\n            [\n              -111.21176601160529,\n              35.65153018969767\n            ],\n            [\n              -111.21176601160529,\n              36.979125233919234\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"95","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":925281,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ogle, Kiona","contributorId":248351,"corporation":false,"usgs":false,"family":"Ogle","given":"Kiona","email":"","affiliations":[],"preferred":false,"id":925282,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":925283,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Whitham, Thomas G.","contributorId":174327,"corporation":false,"usgs":false,"family":"Whitham","given":"Thomas","email":"","middleInitial":"G.","affiliations":[{"id":27416,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Nothern Arizona University, Flagstaff, AZ 86011 USA","active":true,"usgs":false}],"preferred":false,"id":925284,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allan, Gerard J.","contributorId":189075,"corporation":false,"usgs":false,"family":"Allan","given":"Gerard","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":925285,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":925286,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70269043,"text":"70269043 - 2025 - Infection by the marine cestode Hepatoxylon trichiuri in returning Chinook salmon (Oncorhynchus tshawytscha) spawners in Patagonia: Implications for a novel fishery","interactions":[],"lastModifiedDate":"2025-09-22T15:22:46.498223","indexId":"70269043","displayToPublicDate":"2025-01-27T09:17:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Infection by the marine cestode <i>Hepatoxylon trichiuri</i> in returning Chinook salmon (<i>Oncorhynchus tshawytscha</i>) spawners in Patagonia: Implications for a novel fishery","title":"Infection by the marine cestode Hepatoxylon trichiuri in returning Chinook salmon (Oncorhynchus tshawytscha) spawners in Patagonia: Implications for a novel fishery","docAbstract":"<p><span>Parasitological information may be useful for managing economically important fisheries by providing insights into population dynamics and health effects. The Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>), an invasive species with high socio-ecological importance in South America, supports recreational and incipient artisanal fisheries. In Southern Chile, the recent approval of coastal fisheries for returning Chinook salmon in some regions highlights the importance of understanding salmon foraging, habitat use, and commercial value. However, such information is lacking. Parasites have been extensively used as cost-effective biological tags to identify fish stocks. We conducted the first parasitological examination of the marine tapeworm&nbsp;</span><i>Hepatoxylon trichiuri</i><span>&nbsp;larvae in returning adult Chinook salmon from the Cisnes River to assess its potential as a biological tag for returning Chinook salmon in Patagonia. Of 61 Chinook salmon from the Cisnes River, 52.46% were infected by&nbsp;</span><i>H. trichiuri</i><span>, with 1.65 ± 1.26 parasites per infected salmon (mean ± SD). Infection prevalence and intensity did not differ significantly between males and females. Infection intensity was higher in larger salmon but decreased with increasing salmon condition. Infection intensity was not significantly related to length, mass, or body condition. Infection prevalence and intensity of&nbsp;</span><i>H. trichiuri</i><span>&nbsp;varied spatially among Patagonian river-basin populations of Chinook salmon, thereby supporting the use of&nbsp;</span><i>H. trichiuri</i><span>&nbsp;as a biological tag. Our findings provide important parasitological metrics that may enhance future management practices by informing geographic variability in foraging locations of adult salmon and their commercial value for human consumption.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/fme.12796","usgsCitation":"Figueroa-Munoz, G., Torres, P., Rodriguez, J., and Murphy, C.A., 2025, Infection by the marine cestode Hepatoxylon trichiuri in returning Chinook salmon (Oncorhynchus tshawytscha) spawners in Patagonia: Implications for a novel fishery: Fisheries Management and Ecology, v. 32, no. 5, p. 218-232, https://doi.org/10.1111/fme.12796.","productDescription":"15 p.","startPage":"218","endPage":"232","ipdsId":"IP-170493","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":492241,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Chile","otherGeospatial":"Cisnes River, Patagonia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.133333,\n              -44.433333\n            ],\n            [\n              -72.8,\n              -44.433333\n            ],\n            [\n              -72.8,\n              -45.25\n            ],\n            [\n              -71.133333,\n              -45.25\n            ],\n            [\n              -71.133333,\n              -44.433333\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"32","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Figueroa-Munoz, Guillermo","contributorId":342597,"corporation":false,"usgs":false,"family":"Figueroa-Munoz","given":"Guillermo","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":943061,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torres, Patricio","contributorId":358019,"corporation":false,"usgs":false,"family":"Torres","given":"Patricio","affiliations":[{"id":37760,"text":"Universidad Austral de Chile","active":true,"usgs":false}],"preferred":false,"id":943062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rodriguez, J. Marcos","contributorId":358020,"corporation":false,"usgs":false,"family":"Rodriguez","given":"J. Marcos","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":943063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":943064,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263392,"text":"70263392 - 2025 - American alligators (Alligator mississippiensis) as wetland ecosystem carbon stock regulators","interactions":[],"lastModifiedDate":"2025-02-10T15:34:48.266876","indexId":"70263392","displayToPublicDate":"2025-01-27T09:11:35","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"displayTitle":"American alligators (<i>Alligator mississippiensis</i>) as wetland ecosystem carbon stock regulators","title":"American alligators (Alligator mississippiensis) as wetland ecosystem carbon stock regulators","docAbstract":"<p><span>Blue carbon refers to organic carbon sequestered by oceanic and coastal ecosystems. This stock has gained global attention as a high organic carbon repository relative to other ecosystems. Within blue carbon ecosystems, tidally influenced wetlands alone store a disproportionately higher amount of organic carbon than other blue carbon systems. North America harbors 42% of tidally influenced global wetland area, which has been identified as a critical carbon stock in the context of climate change mitigation. However, quantified associations between vertebrate biota and carbon sequestration within ecosystems are in their infancy and have been incidental, given that microbial trophic levels are thought to drive nutrient dynamics. Here, we assess the relationship between American alligator (</span><i>Alligator mississippiensis</i><span>) demography and tidally influenced wetland soil carbon stock among habitats at continental, biogeographically-relevant, and local scales. We used soil core profile data from the Smithsonian’s Coastal Carbon Network and filtered for continuous core profiles in tidally influenced wetland areas along the Gulf and Atlantic Coasts of the United States. Results indicate that American alligator presence is positively correlated with soil carbon stock across habitats within their native distribution. Further, American alligator demographic variables are positively correlated with soil carbon stock at local scales. These conclusions are concordant with previous findings that apex predators, through trophic cascade theory, play a key role in regulating soil carbon stock and that alligators are functional apex predators in carbon dynamics and a key commercialized natural resource.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-025-87369-x","usgsCitation":"Murray, C., Coleman, T., Gabel, W., and Krauss, K., 2025, American alligators (Alligator mississippiensis) as wetland ecosystem carbon stock regulators: Scientific Reports, v. 15, 3423, 13 p., https://doi.org/10.1038/s41598-025-87369-x.","productDescription":"3423, 13 p.","ipdsId":"IP-167548","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":487632,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-87369-x","text":"Publisher Index 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USA","active":true,"usgs":false}],"preferred":false,"id":926778,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coleman, Tyler S. 0000-0001-7472-1976","orcid":"https://orcid.org/0000-0001-7472-1976","contributorId":350490,"corporation":false,"usgs":false,"family":"Coleman","given":"Tyler S.","affiliations":[{"id":83754,"text":"Southeastern Lousiana University","active":true,"usgs":false}],"preferred":false,"id":926779,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gabel, Wray","contributorId":350718,"corporation":false,"usgs":false,"family":"Gabel","given":"Wray","affiliations":[{"id":83816,"text":"Department of Biological Sciences, Southeastern Louisiana University, Hammond, LA, USA","active":true,"usgs":false}],"preferred":false,"id":926780,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":219804,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":926781,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266202,"text":"70266202 - 2025 - Integrated analysis of marked and count data to characterizefine-scale stream fish movement","interactions":[],"lastModifiedDate":"2025-04-30T15:07:09.143764","indexId":"70266202","displayToPublicDate":"2025-01-27T07:51:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2932,"text":"Oecologia","active":true,"publicationSubtype":{"id":10}},"title":"Integrated analysis of marked and count data to characterizefine-scale stream fish movement","docAbstract":"Immigration and emigration are key demographic processes of animal population dynamics. However,\n3 we have limited knowledge on how fine-scale movement varies over space and time. We developed a\n4 Bayesian integrated population model using individual mark-recapture and count data to characterize\n5 fine-scale movement of stream fish at 20-m resolution every two months for 28 months. Our study\n6 targeted small-bodied fish, for which imperfect capture was accounted for (bluehead chub Nocomis\n7 leptocephalus, creek chub Semotilus atromaculatus and mottled sculpin Cottus bairdii). Based on\n8 data from 2,021 individuals across all species, we found that proportions of immigrants averaged\n9 30-42% among the study species, but they varied over space and time. Creek chub immigrants\n10 increased during warmer intervals when individuals grew more and transitioned between body size\n11 classes, suggesting that immigration was due to ontogenetic habitat shifts. There was a weak pattern\n12 across the species that individuals were more likely to leave 20-m sections when flow was higher.\n13 Water-column species (bluehead chub and creek chub) were more likely to immigrate into and stay\n14 in deeper sections with more pool area. Across all species and occasions, number of immigrants\n15 to stream sections did not decrease with number of individuals that survived and stayed in the\n16 same sections. Thus, the habitat did not appear saturated, and our data provided no evidence that\n17 intra-specific interactions affected fine-scale movement at our fish densities. In conclusion, high\n18 turnover rates characterized fish movement among stream sections and their variation was associated\n19 with temporal and spatial shifts in abiotic conditions.","language":"English","publisher":"Springer Nature","doi":"10.1007/s00442-024-05639-3","usgsCitation":"Kanno, Y., Pregler, K., and Kim, S., 2025, Integrated analysis of marked and count data to characterizefine-scale stream fish movement: Oecologia, v. 207, 25, 15 p., https://doi.org/10.1007/s00442-024-05639-3.","productDescription":"25, 15 p.","ipdsId":"IP-162172","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485204,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","otherGeospatial":"Clemson University Experimental Forest, Indian Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.82048747799679,\n              34.68143669803426\n            ],\n            [\n              -82.82048747799679,\n              34.67911153920382\n            ],\n            [\n              -82.81055950407821,\n              34.67911153920382\n            ],\n            [\n              -82.81055950407821,\n              34.68143669803426\n            ],\n            [\n              -82.82048747799679,\n              34.68143669803426\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"207","noUsgsAuthors":false,"publicationDate":"2025-01-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Kanno, Yoichiro","contributorId":353979,"corporation":false,"usgs":false,"family":"Kanno","given":"Yoichiro","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":934906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pregler, Kasey Celene 0000-0002-0664-9594","orcid":"https://orcid.org/0000-0002-0664-9594","contributorId":353980,"corporation":false,"usgs":true,"family":"Pregler","given":"Kasey Celene","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":934907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kim, Seoghyun","contributorId":353981,"corporation":false,"usgs":false,"family":"Kim","given":"Seoghyun","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":934908,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263128,"text":"70263128 - 2025 - Towards mobile wind measurements using joust configured ultrasonic anemometer for applications in gas flux quantification","interactions":[],"lastModifiedDate":"2025-01-30T15:22:48.042166","indexId":"70263128","displayToPublicDate":"2025-01-26T08:14:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18351,"text":"Drones","active":true,"publicationSubtype":{"id":10}},"title":"Towards mobile wind measurements using joust configured ultrasonic anemometer for applications in gas flux quantification","docAbstract":"<p><span>Small uncrewed aerial systems (sUASs) can be used to quantify emissions of greenhouse and other gases, providing flexibility in quantifying these emissions from a multitude of sources, including oil and gas infrastructure, volcano plumes, wildfire emissions, and natural sources. However, sUAS-based emission estimates are sensitive to the accuracy of wind speed and direction measurements. In this study, we examined how filtering and correcting sUAS-based wind measurements affects data accuracy by comparing data from a miniature ultrasonic anemometer mounted on a sUAS in a&nbsp;</span><span class=\"html-italic\">joust configuration</span><span>&nbsp;to highly accurate wind data taken from a nearby eddy covariance flux tower (aka the Tower). These corrections had a small effect on wind speed error, but reduced wind direction errors from 50° to &gt;120° to 20–30°. A concurrent experiment examining the amount of error due to the sUAS and the Tower not being co-located showed that the impact of this separation was 0.16–0.21&nbsp;</span><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot; display=&quot;inline&quot;><semantics><msup><mi>ms</mi><mrow><mo>&amp;#x2212;</mo><mn>1</mn></mrow></msup></semantics></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"semantics\"><span id=\"MathJax-Span-4\" class=\"msup\"><span id=\"MathJax-Span-5\" class=\"mi\">ms</span><sup><span id=\"MathJax-Span-6\" class=\"mrow\"><span id=\"MathJax-Span-7\" class=\"mo\">−</span><span id=\"MathJax-Span-8\" class=\"mn\">1</span></span></sup></span></span></span></span></span><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span class=\"MJX_Assistive_MathML\"></span></span></span><span>, a small influence on wind speed errors. Lower wind speed errors were correlated with lower turbulence intensity and higher relative wind speeds. There were also some loose trends in diminished wind direction errors at higher relative wind speeds. Therefore, to improve the quality of sUAS-based wind measurements, our study suggested that flight planning consider optimizing conditions that can lower turbulence intensity and maximize relative wind speeds as well as include post-flight corrections.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/drones9020094","usgsCitation":"Hollenbeck, D., Edgar, C.W., Euskirchen, E., and Manies, K.L., 2025, Towards mobile wind measurements using joust configured ultrasonic anemometer for applications in gas flux quantification: Drones, v. 9, no. 2, 94, 17 p., https://doi.org/10.3390/drones9020094.","productDescription":"94, 17 p.","ipdsId":"IP-171282","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":487604,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/drones9020094","text":"Publisher Index Page"},{"id":481501,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Bonanza Creek Long-term Ecological Research site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -152.51844720085307,\n              66.02872959114151\n            ],\n            [\n              -152.51844720085307,\n              64.4255964928227\n            ],\n            [\n              -144.20163375461493,\n              64.4255964928227\n            ],\n            [\n              -144.20163375461493,\n              66.02872959114151\n            ],\n            [\n              -152.51844720085307,\n              66.02872959114151\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"9","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Hollenbeck, Derek","contributorId":347059,"corporation":false,"usgs":false,"family":"Hollenbeck","given":"Derek","affiliations":[{"id":54780,"text":"UC Merced","active":true,"usgs":false}],"preferred":false,"id":925633,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edgar, Colin W. 0000-0002-7026-8358","orcid":"https://orcid.org/0000-0002-7026-8358","contributorId":260621,"corporation":false,"usgs":false,"family":"Edgar","given":"Colin","email":"","middleInitial":"W.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":925635,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Euskirchen, Eugenie","contributorId":330061,"corporation":false,"usgs":false,"family":"Euskirchen","given":"Eugenie","affiliations":[{"id":78786,"text":"University of Alaska Fairbanks, Fairbanks, AK, USA 99775","active":true,"usgs":false}],"preferred":false,"id":925636,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Manies, Kristen L. 0000-0003-4941-9657 kmanies@usgs.gov","orcid":"https://orcid.org/0000-0003-4941-9657","contributorId":2136,"corporation":false,"usgs":true,"family":"Manies","given":"Kristen","email":"kmanies@usgs.gov","middleInitial":"L.","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":925634,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267703,"text":"70267703 - 2025 - Linking suspended sediment conditions to hyporheic dissolved oxygen and fine sediment deposition in salmonid spawning habitat below an irrigation dam, Park County, Wyoming","interactions":[],"lastModifiedDate":"2025-06-16T14:05:00.532961","indexId":"70267703","displayToPublicDate":"2025-01-26T07:45:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Linking suspended sediment conditions to hyporheic dissolved oxygen and fine sediment deposition in salmonid spawning habitat below an irrigation dam, Park County, Wyoming","docAbstract":"Dams are essential for water resources management but impose notable effects on fluvial sediment transport and downstream river morphology by reducing or altering the timing of sediment loads. We explored the relationship between dam sediment management and downstream sediment dynamics in the context of riverine fisheries management. We quantified the effects of dam sediment management operations on downstream salmonid spawning habitat during two fall water-level drawdown periods: an experimental drawdown leading to sediment release or a typical slower drawdown intended to minimize release of sediment. The experimental drawdown increased deposited fine sediment and decreased hyporheic dissolved oxygen levels. However, the typical drawdown did not increase fine sediment deposition or decrease hyporheic dissolved oxygen. We quantify the immediate impacts of dam operations using a number of water column and substrate metrics, and demonstrate the potential for sediment flushing operations to have short-term seasonally persistent effects on salmonid spawning habitat. Common surrogates of suspended sediment concentration (i.e. turbidity) were poor indicators of salmonid spawning habitat, especially when sand was the dominant grain size. Instead, measures of suspended sediment concentration such as acoustic backscatter sensors and depth-integrated samples, combined with discharge, appear to be better suited for monitoring and inferring the impacts of dam operations involving sediment releases on salmonid spawning habitat. We demonstrate the importance of understanding sediment particle sizes, monitoring relevant water column conditions in real-time, and provide options for effectively monitoring the downstream impact of dam operations. This work can help managers balance dam sediment management operations with ecological priorities.","language":"English","publisher":"Wiley","doi":"10.1002/rra.4412","usgsCitation":"Pilkerton, A., Alexander, J., Patterson, L., Burckhardt, J., Rahel, F., and Walters, A.W., 2025, Linking suspended sediment conditions to hyporheic dissolved oxygen and fine sediment deposition in salmonid spawning habitat below an irrigation dam, Park County, Wyoming: River Research and Applications, v. 41, no. 5, p. 980-999, https://doi.org/10.1002/rra.4412.","productDescription":"20 p.","startPage":"980","endPage":"999","ipdsId":"IP-166477","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498441,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4412","text":"Publisher Index Page"},{"id":486729,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","county":"Park County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.03609083020241,\n              45.00599580738614\n            ],\n            [\n              -111.03609083020241,\n              43.97658723218112\n            ],\n            [\n              -107.93691606531485,\n              43.97658723218112\n            ],\n            [\n              -107.93691606531485,\n              45.00599580738614\n            ],\n            [\n              -111.03609083020241,\n              45.00599580738614\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Pilkerton, Ashleigh M.","contributorId":356029,"corporation":false,"usgs":false,"family":"Pilkerton","given":"Ashleigh M.","affiliations":[{"id":63974,"text":"Wyoming Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":938577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexander, Jason S.","contributorId":356032,"corporation":false,"usgs":false,"family":"Alexander","given":"Jason S.","affiliations":[{"id":47923,"text":"United States Geological Survey","active":true,"usgs":false}],"preferred":false,"id":938578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patterson, Lindsay","contributorId":356033,"corporation":false,"usgs":false,"family":"Patterson","given":"Lindsay","affiliations":[{"id":84900,"text":"Wyoming Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":938579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burckhardt, Jason C.","contributorId":356034,"corporation":false,"usgs":false,"family":"Burckhardt","given":"Jason C.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":938580,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rahel, Frank J.","contributorId":356035,"corporation":false,"usgs":false,"family":"Rahel","given":"Frank J.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":938581,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938582,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70262909,"text":"70262909 - 2025 - Light absorbing particles deposited to snow cover across the Upper Colorado River Basin, Colorado Rocky Mountains, 2013-16: Interannual variations from multiple natural and anthropogenic sources","interactions":[],"lastModifiedDate":"2025-01-28T17:02:15.21829","indexId":"70262909","displayToPublicDate":"2025-01-25T10:58:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5998,"text":"JGR Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"Light absorbing particles deposited to snow cover across the Upper Colorado River Basin, Colorado Rocky Mountains, 2013-16: Interannual variations from multiple natural and anthropogenic sources","docAbstract":"<p><span>Atmospheric particulate matter (PM) as light-absorbing particles (LAPs) deposited to snow cover can result in early onset and rapid snow melting, challenging management of downstream water resources. We identified LAPs in 38 snow samples (water years 2013–2016) from the mountainous Upper Colorado River basin by comparing among laboratory-measured spectral reflectance, chemical, physical, and magnetic properties. Dust sample reflectance, averaged over the wavelength range of 0.35–2.50&nbsp;μm, varied by a factor of 1.9 (range, 0.2300–0.4444) and was suppressed mainly by three components: (a) carbonaceous matter measured as total organic carbon (1.6–22.5 wt. %) including inferred black carbon, natural organic matter, and carbon-based synthetic, black road-tire-wear particles, (b) dark rock and mineral particles, indicated by amounts of magnetite (0.11–0.37 wt. %) as their proxy, and (c) ferric oxide minerals identified by reflectance spectroscopy and magnetic properties. Fundamental compositional differences were associated with different iron oxide groups defined by dominant hematite, goethite, or magnetite. These differences in iron oxide mineralogy are attributed to temporally varying source-area contributions implying strong interannual changes in regional source behavior, dust-storm frequency, and (or) transport tracks. Observations of dust-storm activity in the western U.S. and particle-size averages for all samples (median, 25&nbsp;μm) indicated that regional dust from deserts dominated mineral-dust masses. Fugitive contaminants, nevertheless, contributed important amounts of LAPs from many types of anthropogenic sources.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JD041676","usgsCitation":"Reynolds, R.L., Goldstein, H.L., Kokaly, R.F., Lowers, H.A., Breit, G., Moskowitz, B.M., Solheid, P., Derry, J., and Lawrence, C., 2025, Light absorbing particles deposited to snow cover across the Upper Colorado River Basin, Colorado Rocky Mountains, 2013-16: Interannual variations from multiple natural and anthropogenic sources: JGR Atmospheres, v. 130, no. 2, e2024JD041676, 26 p., https://doi.org/10.1029/2024JD041676.","productDescription":"e2024JD041676, 26 p.","ipdsId":"IP-164869","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":487599,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jd041676","text":"Publisher Index Page"},{"id":481416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -104.64932012823948,\n              41.00445174733457\n            ],\n            [\n              -109.11352421551246,\n              41.00445174733457\n            ],\n            [\n              -109.11352421551246,\n              36.95523951519441\n            ],\n            [\n              -104.64932012823948,\n              36.95523951519441\n            ],\n            [\n              -104.64932012823948,\n              41.00445174733457\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"130","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Reynolds, Richard L. 0000-0002-4572-2942 rreynolds@usgs.gov","orcid":"https://orcid.org/0000-0002-4572-2942","contributorId":139068,"corporation":false,"usgs":true,"family":"Reynolds","given":"Richard","email":"rreynolds@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":925255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldstein, Harland L. 0000-0002-6092-8818 hgoldstein@usgs.gov","orcid":"https://orcid.org/0000-0002-6092-8818","contributorId":807,"corporation":false,"usgs":true,"family":"Goldstein","given":"Harland","email":"hgoldstein@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":925256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kokaly, Raymond F. 0000-0003-0276-7101","orcid":"https://orcid.org/0000-0003-0276-7101","contributorId":205165,"corporation":false,"usgs":true,"family":"Kokaly","given":"Raymond","email":"","middleInitial":"F.","affiliations":[{"id":5078,"text":"Southwest Regional Director's Office","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":925257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":925258,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Breit, Geroge N.","contributorId":349930,"corporation":false,"usgs":false,"family":"Breit","given":"Geroge N.","affiliations":[{"id":32931,"text":"USGS - 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,{"id":70262913,"text":"70262913 - 2025 - Coral reef restoration can reduce coastal contamination and pollution hazards","interactions":[],"lastModifiedDate":"2025-01-28T15:33:03.710468","indexId":"70262913","displayToPublicDate":"2025-01-25T09:26:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Coral reef restoration can reduce coastal contamination and pollution hazards","docAbstract":"<p><span>Coral reef restoration can reduce the wave-driven flooding for coastal communities. However, this protection has yet to be assessed in terms of the reduced risk of flood-driven environmental contamination. Here we provide the first high-resolution valuation of the reduction of flood-related land-based environmental pollution provided by potential coral reef restoration. Along Florida’s 460 km-long coral reef-fringed coastline, coral reef restoration could reduce the risk of sewage and petrochemical contamination by preventing the flooding of petroleum storage tank systems (-9%), onsite sewage treatment and disposal systems (-4%), and wastewater treatment plants (-10%). The present value of critical infrastructure protection and contamination prevention benefits provided by coral reef restoration is $3,413,503, with some areas exceeding $1,500,000/km. Annually, 48,403 U.S. gal of petrochemicals, 10,404 GPD of wastewater treatment capacity, equivalent to $281,435, could be protected from flooding, demonstrating that coral reef restoration can provide environmental risk reduction and previously undocumented additional socioeconomic benefits.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02019-4","usgsCitation":"Rottmueller, M., Storlazzi, C.D., and Frick, F., 2025, Coral reef restoration can reduce coastal contamination and pollution hazards: Communications Earth & Environment, v. 6, 50, 14 p., https://doi.org/10.1038/s43247-025-02019-4.","productDescription":"50, 14 p.","ipdsId":"IP-165090","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":489898,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02019-4","text":"Publisher Index Page"},{"id":481414,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.17230086700825,\n              27.13745867457773\n            ],\n            [\n              -80.58681397012089,\n              27.017293320412335\n            ],\n            [\n              -80.55789445129923,\n              26.10332375753015\n            ],\n            [\n              -80.59645380972826,\n              25.704444810507454\n            ],\n            [\n              -81.12664498812791,\n              25.530599974387883\n            ],\n            [\n              -81.17484418616428,\n              25.094886779764835\n            ],\n            [\n              -80.71213188501527,\n              25.07742572835653\n            ],\n            [\n              -80.14338134818661,\n              25.373923867060384\n            ],\n            [\n              -80.00842359368481,\n              26.681869876381626\n            ],\n            [\n              -80.17230086700825,\n              27.13745867457773\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2025-01-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Rottmueller, Marina","contributorId":349933,"corporation":false,"usgs":false,"family":"Rottmueller","given":"Marina","affiliations":[{"id":82413,"text":"Technical University of Munich","active":true,"usgs":false}],"preferred":false,"id":925278,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":925279,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frick, Fabian","contributorId":349934,"corporation":false,"usgs":false,"family":"Frick","given":"Fabian","affiliations":[{"id":82413,"text":"Technical University of Munich","active":true,"usgs":false}],"preferred":false,"id":925280,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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