{"pageNumber":"90","pageRowStart":"2225","pageSize":"25","recordCount":184629,"records":[{"id":70267890,"text":"70267890 - 2025 - Laboratory assessment for recovery of porcine circovirus 2 and porcine reproductive and respiratory syndrome virus using two types of commercially available hollow-fiber ultrafilters","interactions":[],"lastModifiedDate":"2025-06-06T14:41:49.988795","indexId":"70267890","displayToPublicDate":"2025-02-28T07:34:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2492,"text":"Journal of Veterinary Diagnostic Investigation","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory assessment for recovery of porcine circovirus 2 and porcine reproductive and respiratory syndrome virus using two types of commercially available hollow-fiber ultrafilters","docAbstract":"<p><span>Groundwater near swine farms is an uninvestigated reservoir for porcine reproductive and respiratory syndrome virus (PRRSV) and porcine circoviruses (PCVs). Enteric microorganisms are often collected from groundwater via dead-end ultrafiltration, but recovery of PRRSV and PCV with this method has not been assessed. We recovered PRRSV2 and PCV2 by dead-end ultrafiltration followed by polyethylene glycol (PEG) precipitation, nucleic acid extraction, and reverse-transcription quantitative real-time PCR. We also compared 2 commercial hemodialysis ultrafilters (Asahi Kasei Rexeed-25A, Nipro Elisio-25H) and compared PRRSV2 recovery in these filters to other waterborne microorganisms. On average, 8 ± 1% of PRRSV2 was recovered by dead-end ultrafiltration and PEG precipitation, compared to 25 ± 6% for adenovirus 41. Full-process recovery of bacteria in the same filters was 5–15%;&nbsp;</span><i>Cryptosporidium parvum</i><span>&nbsp;recovery was 42 ± 12%. PCV2 was detected in 4 of 12 replicate filters, but low stock concentrations precluded quantitative recovery estimates. Elisio-25H ultrafilters performed similarly to Rexeed-25A filters for all organisms tested and is an effective replacement for the Rexeed-25A, which is no longer available in the United States. Our recovery of PRRSV2 and PCV2 by dead-end ultrafiltration in the laboratory suggests that PRRSV2 detection limits are as low as 3–50 genomic copies/L in sample volumes of 100–1,500 L. Based on quantitative microbial risk assessment, these concentrations are relevant to PRRSV2 infection rates in the U.S. swine herd.</span></p>","language":"English","publisher":"Sage","doi":"10.1177/10406387251322506","usgsCitation":"Firnstahl, A.D., Doughan, G., Opelt, S., Cook, R.M., Heffron, J., Krueger, K., Borchardt, M.A., Karriker, L., Stokdyk, J.P., and Burch, T., 2025, Laboratory assessment for recovery of porcine circovirus 2 and porcine reproductive and respiratory syndrome virus using two types of commercially available hollow-fiber ultrafilters: Journal of Veterinary Diagnostic Investigation, v. 37, no. 3, p. 439-447, https://doi.org/10.1177/10406387251322506.","productDescription":"9 p.","startPage":"439","endPage":"447","ipdsId":"IP-166126","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":490661,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11871577/","text":"External Repository"},{"id":490196,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-02-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Firnstahl, Aaron D. 0000-0003-2686-7596 afirnstahl@usgs.gov","orcid":"https://orcid.org/0000-0003-2686-7596","contributorId":168296,"corporation":false,"usgs":true,"family":"Firnstahl","given":"Aaron","email":"afirnstahl@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doughan, Gabi","contributorId":356357,"corporation":false,"usgs":false,"family":"Doughan","given":"Gabi","affiliations":[{"id":84970,"text":"Iowa State University, Swine Medicine Education Center, Ames, IA, United States; Iowa State University, College of Veterinary Medicine, Ames, IA, United States","active":true,"usgs":false}],"preferred":false,"id":939271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Opelt, Sarah A.","contributorId":300168,"corporation":false,"usgs":false,"family":"Opelt","given":"Sarah","middleInitial":"A.","affiliations":[],"preferred":false,"id":939272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, Rachel M.","contributorId":300167,"corporation":false,"usgs":false,"family":"Cook","given":"Rachel","middleInitial":"M.","affiliations":[],"preferred":false,"id":939273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heffron, Joseph","contributorId":356380,"corporation":false,"usgs":false,"family":"Heffron","given":"Joseph","affiliations":[{"id":84980,"text":"U.S. Department of Agriculture-Agricultural Research Service, Environmentally Integrated Dairy Management Research Unit, Marshfield, WI, United States","active":true,"usgs":false}],"preferred":false,"id":939274,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Krueger, Karen","contributorId":356381,"corporation":false,"usgs":false,"family":"Krueger","given":"Karen","affiliations":[{"id":84983,"text":"Iowa State University, College of Veterinary Medicine, Ames, IA, United States","active":true,"usgs":false}],"preferred":false,"id":939275,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Borchardt, Mark A. 0000-0002-6471-2627","orcid":"https://orcid.org/0000-0002-6471-2627","contributorId":210973,"corporation":false,"usgs":false,"family":"Borchardt","given":"Mark","email":"","middleInitial":"A.","affiliations":[{"id":38162,"text":"United States Department of Agriculture Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":939276,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karriker, Locke","contributorId":356382,"corporation":false,"usgs":false,"family":"Karriker","given":"Locke","affiliations":[{"id":84984,"text":"Iowa State University, Swine Medicine Education Center, Ames, IA, United States","active":true,"usgs":false}],"preferred":false,"id":939277,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stokdyk, Joel P. 0000-0003-2887-6277 jstokdyk@usgs.gov","orcid":"https://orcid.org/0000-0003-2887-6277","contributorId":193848,"corporation":false,"usgs":true,"family":"Stokdyk","given":"Joel","email":"jstokdyk@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":939278,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Burch, Tucker R.","contributorId":195801,"corporation":false,"usgs":false,"family":"Burch","given":"Tucker R.","affiliations":[],"preferred":false,"id":939279,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70263870,"text":"ofr20251003 - 2025 - Phase 1 technical implementation plan for the expansion of the ShakeAlert earthquake early warning system to Alaska","interactions":[],"lastModifiedDate":"2025-07-21T18:27:29.016147","indexId":"ofr20251003","displayToPublicDate":"2025-02-27T11:50:00","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":"2025-1003","displayTitle":"Phase 1 Technical Implementation Plan for the Expansion of the ShakeAlert Earthquake Early Warning System to Alaska","title":"Phase 1 technical implementation plan for the expansion of the ShakeAlert earthquake early warning system to Alaska","docAbstract":"<h1>Executive Summary</h1><p>The conference report accompanying the fiscal year (FY) 2022 Consolidated Appropriations Act (Public Law 117–103) for the U.S. Department of the Interior and related agencies directed the U.S. Geological Survey (USGS) to “work with the State of Alaska to develop an implementation plan to be completed within two years in order to put ShakeAlert/Earthquake Early Warning in Alaska” (p. 29). Congress included $1 million in the FY 2022 appropriation to conduct this effort.</p><p>The USGS Earthquake Hazards Program, along with partner organizations, has developed the ShakeAlert earthquake early warning (EEW) system for the West Coast, which currently operates in California, Oregon, and Washington. The purpose of the system and its alert delivery partners is to reduce the impact of earthquakes and save lives and property by delivering ShakeAlert-powered alerts that are transmitted to the public via mass notification technologies, and by providing more detailed data streams to institutional users and commercial service providers to trigger automated, user-specific, protective actions.</p><p>ShakeAlert was designed in such a way that it could be expanded to other U.S. regions with high earthquake risk, after the build-out of seismic and geodetic networks to support ShakeAlert in a specified region is completed and the necessary funding is secured for long-term operation and maintenance.</p><p>When an earthquake occurs, seismic waves radiate from the rupturing fault like waves on a pond. It is these waves that people feel as earthquake shaking and that can cause damage to structures. Using networks of ground-motion sensors and sophisticated computer algorithms, ShakeAlert can detect an earthquake seconds after it begins, calculate its location and magnitude, and estimate the resulting intensity of shaking. Early warnings of impending shaking are then sent to people and systems that may experience damaging shaking, allowing them to take appropriate protective actions. Depending on the user’s distance from the earthquake, alerts may be delivered before, during, or after the arrival of strong shaking. There will almost always be a region near the earthquake epicenter where alerts arrive after damaging shaking has begun. The ShakeAlert system updates its ground-motion estimates as an earthquake grows larger.</p><p>In response to the FY 2022 congressional direction, the USGS worked with the State of Alaska to devise this implementation plan for ShakeAlert expansion to Alaska. The USGS engaged with the Alaska Division of Homeland Security and Emergency Management (DHS&amp;EM) and the Alaska Division of Geological and Geophysical Surveys (DGGS). A cooperative agreement was awarded to the Alaska Earthquake Center (AEC) at the University of Alaska Fairbanks (UAF) for their contributions to the plan and their work coordinating with other networks in Alaska. The USGS engaged with the Alaska Seismic Hazards Safety Commission (ASHSC) throughout the process. The USGS also held a series of Alaska stakeholder engagements. The process of developing the implementation plan was facilitated by contracted staff from Corner Alliance, which is a government consulting firm.</p><p>This implementation plan describes the details and estimates the costs for a Phase 1 expansion of the ShakeAlert system to Alaska. A geographically limited Phase 1 goal was chosen that covers the highest risk and most populated areas of Alaska. The areas proposed encompass the State’s main population centers and 90 percent of the State’s population. This Phase 1 design is considered very challenging and ambitious from the viewpoint of network operators. The lessons learned if this plan is implemented could be used to consider subsequent phases to expand EEW beyond Phase 1 in Alaska in the future.</p><p>ShakeAlert is built on the foundation of the sensor networks and data processing infrastructure of the USGS-led Advanced National Seismic System (ANSS). This implementation plan calls for a total of 450 high-quality, real-time EEW-capable ANSS seismic stations in Alaska: 270 new stations, 160 upgraded stations, and 20 existing stations. These seismic station numbers are based on a station spacing of 10 kilometers (km) in urban areas, 20 km in seismic source areas that endanger population centers, and 40 km in other areas. The associated costs also include support for some EEW-capable global navigation satellite system (GNSS) stations, with a focus on improving warnings for large subduction zone earthquakes. For effective EEW, ShakeAlert requires low-latency, high-availability, robust telemetry links to deliver continuous, real-time data from field stations to the data centers.</p><p>The Alaska data processing hardware infrastructure would follow the general design for fail-safe operation that is used for the ShakeAlert system on the West Coast. The ShakeAlert architecture uses two independent layers: the production layer for earthquake processing and the alert layer to make alerting decisions and serve alerts to users. This implementation plan includes two geographically separated data centers in Alaska, each with two fully independent production and alert layers using the same system design developed for the West Coast. As of March 2024, the ShakeAlert system is at version 3.0.1, with more advanced versions in the development and testing pipeline. ShakeAlert originally used two algorithms to determine the location and magnitude of earthquakes using seismic data. A third algorithm that can calculate very large magnitudes of very large earthquakes with geodetic data was added in March 2024.</p><p>ShakeAlert publishes several data and alert products to meet the needs of different users. All messages include the location of the earthquake, either as a point or a line, and its magnitude. Ground-shaking estimates are published in two forms, as ground-motion contours and a map grid. Providing adequate warning time for strong shaking (the “target threshold”) requires sending alerts at a threshold lower than that strong shaking level (the “alert threshold”). The thresholds for public alerting in Alaska would be a joint USGS and State decision.</p><p>To have the greatest benefit, ShakeAlert-powered alerts would be delivered to institutional users and individuals by all practical pathways. The USGS alert layer can support thousands of institutional users and alert redistributors, but the USGS does not have the mission nor the infrastructure and expertise to perform mass notifications to the public or implement automatic actions for end users of the alerts. To meet this need, ShakeAlert recruits private sector “technology enablers” that have the necessary expertise to develop end-user implementations using EEW alerts with the goal of stimulating an EEW industry.</p><p><span data-olk-copy-source=\"MessageBody\">Earthquake early warning alerts are useless if people do not know how to respond to them. Although the alert messages include instructions about what to do (drop, cover, and hold on), alerts are more effective if people have been trained in advance. Messages about ShakeAlert’s capabilities, limitations, and benefits could be integrated with existing earthquake education programs, including State-run programs. Therefore, ShakeAlert would coordinate with both public and private partners and stakeholders through various partnerships and agreements to accomplish consistent and ongoing public earthquake hazard education.</span></p><p><span data-olk-copy-source=\"MessageBody\">The estimated capital cost of completing the computing infrastructure and sensor networks for the Phase 1 ShakeAlert expansion to Alaska is approximately $66 million in 2024 dollars. The annual operation and maintenance cost of the completed system is estimated to be $12 million per year in 2024 dollars when fully built out.</span></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20251003","programNote":"Earthquake Hazards Program","usgsCitation":"Wolfe, C.J., Ruppert, N.A., Given, D.D., West, M.E., Thomas, V.I., Murray, J.R., and Grapenthin, R., 2025, Phase 1 technical implementation plan for the expansion of the ShakeAlert earthquake early warning system to Alaska: U.S. Geological Survey Open-File Report 2025–1003, 32 p., https://doi.org/10.3133/ofr20251003.","productDescription":"viii, 32 p.","onlineOnly":"Y","ipdsId":"IP-169264","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"links":[{"id":482514,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1003/coverthb.jpg"},{"id":482516,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1003/ofr20251003.pdf","text":"Report","size":"7.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1003"},{"id":492693,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118457.htm","linkFileType":{"id":5,"text":"html"}},{"id":482829,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251003/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1003"},{"id":482578,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1003/ofr20251003.xml"},{"id":482577,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1003/images"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -132.95812081792852,\n              56\n            ],\n            [\n              -132.95812081792852,\n              63\n            ],\n            [\n              -163.75172419269705,\n              63\n            ],\n            [\n              -163.75172419269705,\n              56\n            ],\n            [\n              -132.95812081792852,\n              56\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Senior Science Advisor for Earthquake and Geologic Hazards<br><a href=\"https://www.usgs.gov/programs/earthquake-hazards\" data-mce-href=\"https://www.usgs.gov/programs/earthquake-hazards\">Earthquake Hazards Program</a><br>U.S. Geological Survey<br>Mail Stop 905<br>12201 Sunrise Valley Drive<br>Reston, VA 20192<br></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>ShakeAlert Vision </li><li>ShakeAlert Mission</li><li>Goal for This Implementation Plan </li><li>Authorities </li><li>The Physics of the Problem in Alaska</li><li>Benefits and Uses of ShakeAlert in Alaska</li><li>ShakeAlert Earthquake Early Warning System Strategy</li><li>Major System Components</li><li>Communication, Education, Outreach, and Technical Engagement</li><li>System Roles and Governance</li><li>State Partners</li><li>Research and Development Specific for ShakeAlert in Alaska</li><li>Cost Estimates for Alaska Phase 1</li><li>Timeline </li><li>Conclusion</li><li>References Cited</li><li>Appendix 1. Summary of Stakeholder Engagement Meetings</li><li>Appendix 2. Interagency Workshop: Earthquake Early Warning in Alaska—What Would It Take</li></ul>","publishedDate":"2025-02-27","noUsgsAuthors":false,"publicationDate":"2025-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wolfe, Cecily J. 0000-0003-3144-5697 cwolfe@usgs.gov","orcid":"https://orcid.org/0000-0003-3144-5697","contributorId":191613,"corporation":false,"usgs":true,"family":"Wolfe","given":"Cecily","email":"cwolfe@usgs.gov","middleInitial":"J.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":928765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruppert, Natalia A. 0000-0003-0589-1159","orcid":"https://orcid.org/0000-0003-0589-1159","contributorId":351514,"corporation":false,"usgs":true,"family":"Ruppert","given":"Natalia A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928766,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Given, Douglas D.","contributorId":351515,"corporation":false,"usgs":false,"family":"Given","given":"Douglas D.","affiliations":[{"id":84003,"text":"New Solutions","active":true,"usgs":false}],"preferred":false,"id":928767,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, Michael E.","contributorId":351516,"corporation":false,"usgs":false,"family":"West","given":"Michael E.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":928768,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomas, Valerie 0000-0001-6170-5563","orcid":"https://orcid.org/0000-0001-6170-5563","contributorId":222022,"corporation":false,"usgs":true,"family":"Thomas","given":"Valerie","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928769,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Murray, Jessica R. 0000-0002-6144-1681 jrmurray@usgs.gov","orcid":"https://orcid.org/0000-0002-6144-1681","contributorId":2759,"corporation":false,"usgs":true,"family":"Murray","given":"Jessica","email":"jrmurray@usgs.gov","middleInitial":"R.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":928770,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grapenthin, Ronni","contributorId":351517,"corporation":false,"usgs":false,"family":"Grapenthin","given":"Ronni","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":928771,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70264313,"text":"70264313 - 2025 - Analyzing multi-year nitrate concentration evolution in Alabama aquatic systems using a machine learning model","interactions":[],"lastModifiedDate":"2025-03-11T14:33:16.317819","indexId":"70264313","displayToPublicDate":"2025-02-27T09:28:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5021,"text":"Environments","active":true,"publicationSubtype":{"id":10}},"title":"Analyzing multi-year nitrate concentration evolution in Alabama aquatic systems using a machine learning model","docAbstract":"<p><span>Rising nitrate contamination in water systems poses significant risks to public health and ecosystem stability, necessitating advanced modeling to understand nitrate dynamics more accurately. This study applies the long short-term memory (LSTM) modeling to investigate the hydrologic and environmental factors influencing nitrate concentration dynamics in rivers and aquifers across the state of Alabama in the southeast of the United States. By integrating dynamic data such as streamflow and groundwater levels with static catchment attributes, the machine learning model identifies primary drivers of nitrate fluctuations, offering detailed insights into the complex interactions affecting multi-year nitrate concentrations in natural aquatic systems. In addition, a novel LSTM-based approach utilizes synthetic surface water nitrate data to predict groundwater nitrate levels, helping to address monitoring gaps in aquifers connected to these rivers. This method reveals potential correlations between surface water and groundwater nitrate dynamics, which is particularly meaningful given the lack of water quality observations in many aquifers. Field applications further show that, while the LSTM model effectively captures seasonal trends, limitations in representing extreme nitrate events suggest areas for further refinement. These findings contribute to data-driven water quality management, enhancing understanding of nitrate behavior in interconnected water systems.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/environments12030075","usgsCitation":"KarimiDermani, B., Green, C., Tick, G., Gholizadeh, H., Wei, W., and Zhang, Y., 2025, Analyzing multi-year nitrate concentration evolution in Alabama aquatic systems using a machine learning model: Environments, v. 12, no. 3, 75, 20 p., https://doi.org/10.3390/environments12030075.","productDescription":"75, 20 p.","ipdsId":"IP-169838","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":487829,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/environments12030075","text":"Publisher Index 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Nanjing Normal University, Nanjing 210023, China","active":true,"usgs":false}],"preferred":false,"id":930399,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Yong","contributorId":352236,"corporation":false,"usgs":false,"family":"Zhang","given":"Yong","affiliations":[{"id":84136,"text":"Department of Geological Sciences, University of Alabama, Tuscaloosa, AL 35487, USA","active":true,"usgs":false}],"preferred":false,"id":930400,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70263959,"text":"70263959 - 2025 - Migration of seismicity from the mantle to the upper crust beneath Harrat Lunayyir volcanic field, Saudi Arabia","interactions":[],"lastModifiedDate":"2025-03-03T15:18:28.298036","indexId":"70263959","displayToPublicDate":"2025-02-27T09:10:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17454,"text":"Seismica","active":true,"publicationSubtype":{"id":10}},"title":"Migration of seismicity from the mantle to the upper crust beneath Harrat Lunayyir volcanic field, Saudi Arabia","docAbstract":"<p><span>Harrat Lunayyir is a volcanic field in Saudi Arabia that experienced a Mw~5.4 earthquake driven by an upper-crustal dike intrusion in May 2009. This volcanic field has exhibited numerous forms of volcanic seismicity both prior to and since the 2009 dike intrusion. Significantly, earthquakes within the lithospheric mantle and, rarely, the lower crust are present in the two-decade long seismicity catalog of Harrat Lunayyir. Here we analyze 24 years of volcanic seismicity at Harrat Lunayyir from 1998 to 2022. We find that: 1) precursory seismicity began at least eight years prior to the 2009 event, with a particularly notable seismic episode one year prior; 2) lithospheric mantle seismicity is highly localized in space and in time, largely occurring in discrete sequences lasting on the order of a few hours to a few days; 3) one seismic sequence clearly migrates upward from the lithospheric mantle to the upper crust, including seismicity within the nominally ductile lower crust; 4) crustal seismicity has been slowly declining over time; and 5) lithospheric-mantle seismicity does not show any apparent decline with time. From these observations we infer that the seismicity is driven by magmatic fluids or volatiles, and seismic monitoring of this volcanic field should continue into the future.</span></p>","language":"English","publisher":"McGill Libraries","doi":"10.26443/seismica.v4i1.1148","usgsCitation":"Blanchette, A., Klemperer, S.L., Mooney, W.D., and Sehli, T., 2025, Migration of seismicity from the mantle to the upper crust beneath Harrat Lunayyir volcanic field, Saudi Arabia: Seismica, v. 4, no. 1, 1148, 17 p., https://doi.org/10.26443/seismica.v4i1.1148.","productDescription":"1148, 17 p.","ipdsId":"IP-159418","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":487721,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.26443/seismica.v4i1.1148","text":"Publisher Index Page"},{"id":482737,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Saudi Arabia","otherGeospatial":"Harrat Lunayyir volcanic field","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              37,\n              25.6\n            ],\n            [\n              37,\n              24.7\n            ],\n            [\n              38.25,\n              24.7\n            ],\n            [\n              38.25,\n              25.6\n            ],\n            [\n              37,\n              25.6\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"4","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Blanchette, Alexander R.","contributorId":329986,"corporation":false,"usgs":false,"family":"Blanchette","given":"Alexander R.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":929350,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klemperer, Simon L.","contributorId":106929,"corporation":false,"usgs":true,"family":"Klemperer","given":"Simon","email":"","middleInitial":"L.","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":929351,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mooney, Walter D. 0000-0002-5310-3631 mooney@usgs.gov","orcid":"https://orcid.org/0000-0002-5310-3631","contributorId":3194,"corporation":false,"usgs":true,"family":"Mooney","given":"Walter","email":"mooney@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":929352,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sehli, Turki A.","contributorId":351738,"corporation":false,"usgs":false,"family":"Sehli","given":"Turki A.","affiliations":[{"id":36695,"text":"Saudi Geological Survey","active":true,"usgs":false}],"preferred":false,"id":929353,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70263949,"text":"70263949 - 2025 - Impact of thermoelectric power plant operations and water use reporting methods on thermoelectric power plant water use","interactions":[],"lastModifiedDate":"2025-03-26T15:59:01.447164","indexId":"70263949","displayToPublicDate":"2025-02-27T09:07:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Impact of thermoelectric power plant operations and water use reporting methods on thermoelectric power plant water use","docAbstract":"<p><span>Thermoelectric power generation accounts for over 41% of total U.S. freshwater withdrawals, making understanding the determinants of power plants’ water withdrawals (WW) and consumption (WC) critical for reducing the sector’s reliance on increasingly scarce water resources. However, reported data inconsistencies and incomplete analysis of potential determinants of thermoelectric water use hinder such understanding. We address these challenges by introducing a novel data filtering method and a more complete assessment of water use determinants. First, we applied a power-cooling ratio as an operations-based data filter that removed operationally implausible records while retaining more original data, outperforming previous statistical filtering methods. Second, we found that different water use reporting methods (WURMs) provided statistically significantly different WW and WC values, revealing the importance of this previously unrecognized feature in reported water use records. Third, our data-driven approach showed that traditionally emphasized features─such as cooling technology and gross generation─are of primary importance but can be surpassed by other, often overlooked, features when modeling WW or WC individually. The plant configuration, cooling technology, and gross generation were the most important features of WW, whereas WURM, cooling technology, and reporting month were the most important for WC. These findings can improve thermoelectric power plant management, water use reporting accuracy, and water use modeling.</span></p>","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.4c02024","usgsCitation":"Sjostedt, E., Rushforth, R., Tidwell, V., Harris, M.A., McManamay, R., and Marston, L., 2025, Impact of thermoelectric power plant operations and water use reporting methods on thermoelectric power plant water use: Environmental Science & Technology, v. 59, no. 9, p. 4482-4492, https://doi.org/10.1021/acs.est.4c02024.","productDescription":"11 p.","startPage":"4482","endPage":"4492","ipdsId":"IP-160568","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":488675,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c02024","text":"Publisher Index Page"},{"id":482736,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Sjostedt, Eric 0000-0002-7755-8091","orcid":"https://orcid.org/0000-0002-7755-8091","contributorId":351702,"corporation":false,"usgs":false,"family":"Sjostedt","given":"Eric","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":929309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rushforth, Richard","contributorId":239630,"corporation":false,"usgs":false,"family":"Rushforth","given":"Richard","email":"","affiliations":[],"preferred":false,"id":929310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tidwell, Vincent 0000-0002-4954-897X","orcid":"https://orcid.org/0000-0002-4954-897X","contributorId":351704,"corporation":false,"usgs":false,"family":"Tidwell","given":"Vincent","affiliations":[{"id":84033,"text":"Pacific Northwest National Laboratories","active":true,"usgs":false}],"preferred":false,"id":929311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harris, Melissa A. 0000-0003-2659-9763 mharris@usgs.gov","orcid":"https://orcid.org/0000-0003-2659-9763","contributorId":1903,"corporation":false,"usgs":true,"family":"Harris","given":"Melissa","email":"mharris@usgs.gov","middleInitial":"A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":581,"text":"Tennessee Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929312,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McManamay, Ryan","contributorId":205277,"corporation":false,"usgs":false,"family":"McManamay","given":"Ryan","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":929313,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Marston, Landon 0000-0001-9116-1691","orcid":"https://orcid.org/0000-0001-9116-1691","contributorId":239626,"corporation":false,"usgs":false,"family":"Marston","given":"Landon","email":"","affiliations":[{"id":47941,"text":"Department of Civil Engineering, Kansas State University","active":true,"usgs":false}],"preferred":false,"id":929314,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70264266,"text":"70264266 - 2025 - Survival, travel time, and use of migration routes by juvenile steelhead in a modified river estuary","interactions":[],"lastModifiedDate":"2025-03-10T13:53:35.39942","indexId":"70264266","displayToPublicDate":"2025-02-27T08:49:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Survival, travel time, and use of migration routes by juvenile steelhead in a modified river estuary","docAbstract":"<p><span>Greater understanding of the survival, travel time, and spatial distribution of juvenile salmonids among migration routes between their natal streams and the ocean is critical to the recovery of these threatened species. In the Sacramento–San Joaquin River Delta (Delta), a highly modified estuary in central California, USA, there is a critical need to evaluate how water management (e.g., water pumping) and environmental factors (e.g., water flow) impact these populations. While management actions can affect some environmental variables in the Delta, only recently have studies begun to uncover associations between these variables and key demographic parameters. In this study, we examine the effects of freshwater flows, water exports, tidal environment, and a temporary barrier on juvenile steelhead (</span><i>Oncorhynchus mykiss</i><span>) survival, travel times, and migration routing using a multiyear acoustic telemetry dataset and recent advancements in Bayesian multistate mark-recapture modeling. We found that no single covariate explained variation in juvenile steelhead population dynamics across the entire Delta, but that separate regions within the Delta showed association with specific environmental factors.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s12237-025-01493-5","usgsCitation":"Pope, A., Perry, R., Hance, D., and Buchanan, R., 2025, Survival, travel time, and use of migration routes by juvenile steelhead in a modified river estuary: Estuaries and Coasts, v. 48, 75, 18 p., https://doi.org/10.1007/s12237-025-01493-5.","productDescription":"75, 18 p.","ipdsId":"IP-156547","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":483129,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Joaquin River Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.03238643466244,\n              38.07227139327773\n            ],\n            [\n              -122.03238643466244,\n              37.61108647879182\n            ],\n            [\n              -121.16713739842452,\n              37.61108647879182\n            ],\n            [\n              -121.16713739842452,\n              38.07227139327773\n            ],\n            [\n              -122.03238643466244,\n              38.07227139327773\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","noUsgsAuthors":false,"publicationDate":"2025-02-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Pope, Adam C. 0000-0002-7253-2247","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":223237,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":930217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220189,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":930218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hance, Dalton 0000-0002-4475-706X","orcid":"https://orcid.org/0000-0002-4475-706X","contributorId":220179,"corporation":false,"usgs":true,"family":"Hance","given":"Dalton","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":930219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buchanan, Rebecca A.","contributorId":300601,"corporation":false,"usgs":false,"family":"Buchanan","given":"Rebecca A.","affiliations":[{"id":65208,"text":"Columbia Basin Research, School of Aquatic and Fishery Sciences, University of Washington 1325 Fourth Avenue, Suite 1515, Seattle, Washington 98101-2540","active":true,"usgs":false}],"preferred":false,"id":930220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267188,"text":"70267188 - 2025 - Practitioners’ perceived risks to biodiversity from renewable energy expansion through 2050","interactions":[],"lastModifiedDate":"2025-05-16T15:49:40.826847","indexId":"70267188","displayToPublicDate":"2025-02-27T08:40:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":11448,"text":"Humanities and Social Sciences Communications","active":true,"publicationSubtype":{"id":10}},"title":"Practitioners’ perceived risks to biodiversity from renewable energy expansion through 2050","docAbstract":"Large-scale (e.g., > 1 megawatt capacity) wind and solar energy (hereafter, LSWS) developments are increasing to aid decarbonization. However, LSWS can also negatively affect biodiversity. Planners and other interested parties’ perceptions about the impact of LSWS on biodiversity will thus affect how trade-offs are managed during planning and buildout. We present a survey of professionals (n=116) working at the intersection of LSWS and biodiversity protection across the United States concerning: (1) perceived environmental impacts from LSWS expansion; and (2) how these impacts compare to other land-use and land-cover change drivers. We find that practitioners perceive LSWS to impact biodiversity negatively but less so than other land-cover change drivers, including fossil fuels and agriculture. This highlights the need for increased attention to the role of practitioners in advancing renewable energy and biodiversity conservation.","language":"English","publisher":"Springer Nature","doi":"10.1057/s41599-025-04558-9","usgsCitation":"Condon, D., Scott, T., Smith, A., Morelli, T.L., Ashraf, U., Mojica, A., Chittanuru, H., Luu, R., Bear, R., and Hernandez, R., 2025, Practitioners’ perceived risks to biodiversity from renewable energy expansion through 2050: Humanities and Social Sciences Communications, v. 12, 263, 15 p., https://doi.org/10.1057/s41599-025-04558-9.","productDescription":"263, 15 p.","ipdsId":"IP-175789","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":489017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1057/s41599-025-04558-9","text":"Publisher Index 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,{"id":70274270,"text":"70274270 - 2025 - Geochemical assessment of the suitability of converting a coal-fired power plant reservoir to a drinking-water reservoir","interactions":[],"lastModifiedDate":"2026-03-24T15:18:57.855959","indexId":"70274270","displayToPublicDate":"2025-02-26T10:14:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2592,"text":"Lake and Reservoir Management","active":true,"publicationSubtype":{"id":10}},"title":"Geochemical assessment of the suitability of converting a coal-fired power plant reservoir to a drinking-water reservoir","docAbstract":"<p><span>There is an increasing need for additional water storage in the United States, especially in arid regions. Alternatives like decommissioned power plant raw-water reservoirs would be cheaper to use than creating new reservoirs; however, the biogeochemical pollution risk of these reservoirs is not well understood. The San Juan Generating Station power plant and the associated reservoir will be used as a sediment-settling basin to store drinking water. To evaluate whether the reservoir is appropriate for this use, inorganic and organic constituents of concern were measured in reservoir sediment cores, pore water, and reservoir water in 2020. Forty-six percent of sediment arsenic concentrations measured in core subsamples (8 to 12 mg/kg) were slightly above the New Mexico residential cancer threshold for soil of 7.07 mg/kg. One sediment sample contained elevated total barium concentrations (6020 mg/kg). The organic compounds analyzed were either below detection limits or below regulatory thresholds. Reservoir water had one sample with arsenic greater than the drinking water standard (10 µg/L). Overall, the reservoir sediment inorganic and organic analyte concentrations are within acceptable ranges. The few samples that have elevated concentrations are not of a sufficient magnitude that dilution and/or treatment processes would preclude the use of the reservoir for water storage. Our findings show potential for use of former coal power station raw-water reservoirs as drinking-water reservoirs after plant closure.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10402381.2025.2452543","usgsCitation":"Blake, J., Ferguson, C.L., Brown, J., and Mixon, R., 2025, Geochemical assessment of the suitability of converting a coal-fired power plant reservoir to a drinking-water reservoir: Lake and Reservoir Management, v. 41, no. 1, p. 41-58, https://doi.org/10.1080/10402381.2025.2452543.","productDescription":"18 p.","startPage":"41","endPage":"58","ipdsId":"IP-149906","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":501452,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"San Juan River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -109,\n              37\n            ],\n            [\n              -109,\n              36.5\n            ],\n            [\n              -107.5,\n              36.5\n            ],\n            [\n              -107.5,\n              37\n            ],\n            [\n              -109,\n              37\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferguson, Christina L. 0000-0003-3368-0770","orcid":"https://orcid.org/0000-0003-3368-0770","contributorId":225087,"corporation":false,"usgs":true,"family":"Ferguson","given":"Christina","email":"","middleInitial":"L.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Jeb E. 0000-0001-7671-2379","orcid":"https://orcid.org/0000-0001-7671-2379","contributorId":225088,"corporation":false,"usgs":true,"family":"Brown","given":"Jeb E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mixon, Rachel Lynn 0000-0001-9863-6784","orcid":"https://orcid.org/0000-0001-9863-6784","contributorId":328595,"corporation":false,"usgs":true,"family":"Mixon","given":"Rachel Lynn","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957495,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70266263,"text":"70266263 - 2025 - When the wild things are: Defining mammalian diel activity and plasticity","interactions":[],"lastModifiedDate":"2025-05-05T17:01:22.120034","indexId":"70266263","displayToPublicDate":"2025-02-26T09:51:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"When the wild things are: Defining mammalian diel activity and plasticity","docAbstract":"<p><span>Circadian rhythms are a mechanism by which species adapt to environmental variability and fundamental to understanding species behavior. However, we lack data and a standardized framework to accurately assess and compare temporal activity for species during rapid ecological change. Through a global network representing 38 countries, we leveraged 8.9 million mammalian observations to create a library of 14,587 standardized diel activity estimates for 445 species. We found that less than half the species’ estimates were in agreement with diel classifications from the reference literature and that species commonly used more than one diel classification. Species diel activity was highly plastic when exposed to anthropogenic change. Furthermore, body size and distributional extent were strongly associated with whether a species is diurnal or nocturnal. Our findings provide essential knowledge of species behavior in an era of rapid global change and suggest the need for a new, quantitative framework that defines diel activity logically and consistently while capturing species plasticity.</span></p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.ado3843","usgsCitation":"Devarajan, K., Fidino, M., Farris, Z.J., Adalsteinsson, S., Andrade-Ponce, G., Angstmann, J., Anthonysamy, W., Aquino, J., Asefa, A., Avila, B., Bailey, L., Barbosa, L., Barreto, M., Barton, O., Bates, C., Beltrão, M., Bird, T., Biro, E., Bisi, F., Bohórquez, D., Boyce, M.S., Brashares, J., Bullington, G., Burns, P., Burr, J., Butler, A.R., Calhoun, K.L., Cao, T., Casado, N., Cepeda-Duque, J., Cepek, J., Chiarello, A., Collins, M., Cordeiro-Estrela, P., Costa, S., Cremonesi, G., Cristescu, B., Cruz, P., Albuquerque, A., De Angelo, C., De Campos, C., De Sena, L., Di Bitetti, M., Dias, D., Diefenbach, D.R., 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C.R., Miller, D., Mills, D., Miquelle, D., Miritis, V., Moll, R., Molnar, P.K., Montgomery, R., Morelli, T.L., Mortelliti, A., Mueller, R., Mukhacheva, A., Mullen, K., Murphy, A., Nepomuceno, V., Ngoprasert, D., Nguyen, A., Nguyen, T., Nguyen, V., Nguyen Quang, H., Nipko, R., Nobre, A., Northrup, J., Owen, M.A., Paglia, A., Palmer, M., Palomo-Munoz, G., Pardo, L., Parks, C., Paschoal, A., Patterson, B., Paviolo, A., Pejchar, L., Pendergast, M.E., Perotto-Baldivieso, H., Petrov, T., Poisson, M., Polli, D., Pourmirzai, M., Reebin, A., Remine, K., Rich, L., Richardson, C., Robino, F., Rocha, D., Rocha, F., Rodrigues, F., Rohnke, A., Ryan, T., Salsbury, C., Sander, H., Santos-Cavalcante, N., Sekercioglu, C., Seryodkin, I., Setiawan, D., Shadloo, S., Shahhosseini, M., Shannon, G., Shier, C., Smith, G., Snyder, T., Sollmann, R., Sparks, K., Sribuarod, K., St. Claire, C.C., Stankowich, T., Steinmetz, R., Stevenson, C., Sunarto, S., Surasinghe, T., Sutyrina, S., Swaisgood, R.R., Taktehrani, 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nests on foraging patterns, caste-specific behaviour and health (e.g., pathogens) are invaluable for understanding bumble bee behaviour and ecology, but difficult to decipher solely from foraging observations away from the nest.</li><li>Post-senescence nest excavation allows the estimation of colony size, caste numbers, documents pest incidence and provides opportunities to examine nest material for stressors (e.g., pesticides) and to use nest material for training purposes (e.g., conservation dogs).</li><li>Wild nests are often found opportunistically, and there is an absence of standardised guidance on data collection.</li><li>We provide an action plan to ensure the data collection is comparable across studies.</li><li>This framework includes key conservation questions and methodological guidelines for both for in situ and post-season nest data collection and is ordered by increasing complexity of data collection methods.</li><li>To illustrate our framework, we provide an example with recently discovered<span>&nbsp;</span><i>Bombus affinis</i><span>&nbsp;</span>(rusty patched bumble bee) nests.</li><li>Through observations at<span>&nbsp;</span><i>B. affinis</i><span>&nbsp;</span>nests, we discovered novel patterns of activity, changing activity levels over time, the timing of male and gyne production, variable timing in nest senescence, and associations of nests with past rodent activity.</li><li>Although individual nest discoveries may be of limited value in forwarding conservation strategies, the aggregate collections of many similar datasets can be of critical importance for species of conservation concern.</li></ol>","language":"English","publisher":"Royal Entomological Society","doi":"10.1111/icad.12808","usgsCitation":"Smith, T., Boone, M., Choy, S., Evans, E., Everett, J., Palmer, J., Pearse, I., Pugesek, G., Sadd, B.M., Szymanski, J., Tessenow, A., Watson, J., and Mola, J., 2025, Answering key bumble bee conservation questions by studying discovered wild nests: A Bombus affinis case study: Insect Conservation and Diversity, v. 18, no. 3, p. 303-318, https://doi.org/10.1111/icad.12808.","productDescription":"16 p.","startPage":"303","endPage":"318","ipdsId":"IP-160042","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":501359,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/icad.12808","text":"Publisher Index Page"},{"id":501141,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, 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,{"id":70263881,"text":"70263881 - 2025 - Pan-amphibia distribution of the fungal parasite Batrachochytrium dendrobatidis varies with species and temperature","interactions":[],"lastModifiedDate":"2025-02-27T15:37:49.020444","indexId":"70263881","displayToPublicDate":"2025-02-26T09:24:10","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}},"displayTitle":"Pan-amphibia distribution of the fungal parasite <i>Batrachochytrium dendrobatidis</i> varies with species and temperature","title":"Pan-amphibia distribution of the fungal parasite Batrachochytrium dendrobatidis varies with species and temperature","docAbstract":"<p><i>Batrachochytrium dendrobatidis</i><span>&nbsp;(Bd) is a globally distributed fungal pathogen of amphibians that has contributed to one of the largest disease-related biodiversity losses in wildlife. Bd is regularly viewed through the lens of a global wildlife epizootic because the spread of highly virulent genetic lineages has resulted in well-documented declines and extinctions of multiple amphibian species. However, the current state of Bd occurrence, host range, host impacts, and ecological drivers remains poorly understood outside of the most negatively affected amphibian species and regions. Our objective was to describe the macroecology of Bd occurrence and infection intensity on caudates (salamanders) across the United States and to compare these patterns with better-studied anurans (frogs and toads). We collected swabs from 11,183 amphibians at 609 sites from 54 species across the United States from 2015 to 2017. We analyzed the prevalence and intensity of Bd infection jointly using a Bayesian hurdle model with covariates of site-level temperature and precipitation, as well as individual characteristics and species identification. Bd was distributed widely across sites and species sampled across the spatial extent of the conterminous United States. We found that Bd prevalence and intensity were most strongly influenced by temperature in the month preceding sampling and by differences among taxon groups. We estimated that temperature had a strong and nonlinear influence on both Bd prevalence and intensity with peak infection at intermediate temperatures and lower infection at low and high temperatures. We found Caudate hosts tended to have higher prevalence than Anuran hosts and Anuran hosts tended to have higher intensity at optimal temperatures for Bd infection. Our findings suggest that Bd has an amphibian-wide host range, temperature gradients exert a strong influence on Bd, and enzootic transmission likely encompasses a much larger spatial and species distribution than previously recognized across North America.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecm.70001","usgsCitation":"Grear, D.A., Adams, M.J., Backlin, A.R., Barichivich, W., Brand, A., Bucciarelli, G.M., Calhoun, D.L., Chestnut, T., Davenport, J.D., Dietrich, A., DiRenzo, G.V., Fisher, R., Glorioso, B., Campbell Grant, E.H., Halstead, B., Hayes, M.P., Hossack, B., Kain, M., Kleeman, P.M., Lorch, J., McCreary, B., Miller, D., Mosher, B., Muths, E., Pearl, C., Robinson, C., Roth, M., Rowe, J., Sadinski, W., Sigafus, B., Stasiak, I., Sweet, S., Waddle, H., Walls, S., Watkins-Colwell, G.J., Williams, L.A., and Winzeler, M., 2025, Pan-amphibia distribution of the fungal parasite Batrachochytrium dendrobatidis varies with species and temperature: Ecological Monographs, v. 95, no. 1, e70001, 27 p., https://doi.org/10.1002/ecm.70001.","productDescription":"e70001, 27 p.","ipdsId":"IP-156782","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":489965,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecm.70001","text":"Publisher Index Page"},{"id":482560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":482534,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://esajournals.onlinelibrary.wiley.com/doi/10.1002/ecm.70001"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"geometry\": {\n        \"type\": \"MultiPolygon\",\n        \"coordinates\": [\n          [\n            [\n              [\n                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J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":211916,"corporation":false,"usgs":true,"family":"Adams","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":928817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Backlin, Adam R. 0000-0001-5618-8426 abacklin@usgs.gov","orcid":"https://orcid.org/0000-0001-5618-8426","contributorId":3802,"corporation":false,"usgs":true,"family":"Backlin","given":"Adam","email":"abacklin@usgs.gov","middleInitial":"R.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barichivich, William 0000-0003-1103-6861","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":215988,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":928819,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brand, Adrianne 0000-0003-2664-0041","orcid":"https://orcid.org/0000-0003-2664-0041","contributorId":304281,"corporation":false,"usgs":true,"family":"Brand","given":"Adrianne","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":928820,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bucciarelli, Gary M.","contributorId":209642,"corporation":false,"usgs":false,"family":"Bucciarelli","given":"Gary","email":"","middleInitial":"M.","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":928821,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Calhoun, Daniel L. 0000-0003-2371-6936 dcalhoun@usgs.gov","orcid":"https://orcid.org/0000-0003-2371-6936","contributorId":1455,"corporation":false,"usgs":true,"family":"Calhoun","given":"Daniel","email":"dcalhoun@usgs.gov","middleInitial":"L.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":928822,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Chestnut, 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V.","contributorId":192177,"corporation":false,"usgs":false,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":928826,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Fisher, Robert N. 0000-0002-2956-3240","orcid":"https://orcid.org/0000-0002-2956-3240","contributorId":51675,"corporation":false,"usgs":true,"family":"Fisher","given":"Robert N.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":928827,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Glorioso, Brad 0000-0002-5400-7414","orcid":"https://orcid.org/0000-0002-5400-7414","contributorId":219360,"corporation":false,"usgs":true,"family":"Glorioso","given":"Brad","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":928828,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Campbell Grant, Evan H. 0000-0003-4401-6496 ehgrant@usgs.gov","orcid":"https://orcid.org/0000-0003-4401-6496","contributorId":150443,"corporation":false,"usgs":true,"family":"Campbell Grant","given":"Evan","email":"ehgrant@usgs.gov","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":928829,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":928830,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Hayes, Marc P 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,{"id":70263858,"text":"70263858 - 2025 - Reproductive biology of invasive grass carp (Ctenopharyngodon idella) in two North American systems","interactions":[],"lastModifiedDate":"2025-08-19T15:25:34.216832","indexId":"70263858","displayToPublicDate":"2025-02-25T14:49:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2285,"text":"Journal of Fish Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Reproductive biology of invasive grass carp (<i>Ctenopharyngodon idella</i>) in two North American systems","title":"Reproductive biology of invasive grass carp (Ctenopharyngodon idella) in two North American systems","docAbstract":"<p><span>Grass carp (</span><i>Ctenopharyngodon idella</i><span>) are nonnative, herbivorous freshwater fish that represent an ecological threat in North American waters. However, data are limited on reproductive biology specific to wild populations in midwestern North America, despite recent concern for grass carp establishment within the Great Lakes. Basic information on reproductive traits could be useful to determine reproductive potential, inform future population modelling and provide information to aid control efforts. Our objectives were to evaluate grass carp age-at-maturity, spawning season timing, fecundity type, developmental timing and spawning strategy. Additionally, we evaluated the reliability of the gonadosomatic index (GSI) as a proxy for identifying mature grass carp and compared body condition across study areas. We sampled grass carp in portions of the Mississippi River watershed within the state of Missouri and within the Lake Erie basin. Based on gonad histological samples (</span><i>n</i><span> = 274), grass carp are batch spawners with indeterminate fecundity and asynchronous ovarian developmental timing. This allows flexibility in their spawning, exemplified by a protracted spawning season in Lake Erie (April to November) in temperatures ranging from 12.3 to 27.3°C. Minimum observed age-at-maturity for females in Missouri and for both males and females in the Lake Erie population was age-3 and age-2 for males in Missouri. Accuracy of GSI as a measure of maturity during the spawning season was 89.7% and 87.5%, for females and males, respectively. Compared to Missouri, grass carp in Lake Erie had a significantly higher body condition, and females ready to spawn had significantly higher GSI values, suggesting that the grass carp in Lake Erie are healthier and more fecund relative to Missouri and, if left uncontrolled, potentially have a high probability of establishment within the Great Lakes. The results of this study will allow managers to identify the reproductive status of grass carp in the field and more accurately estimate populations and reproductive potential.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfb.70003","usgsCitation":"Wilson, T., Acre, M.R., Williams, F., Calfee, R.D., Mayer, C.M., Mapes, R., Kemp, C., Young, R., and Byrne, M.E., 2025, Reproductive biology of invasive grass carp (Ctenopharyngodon idella) in two North American systems: Journal of Fish Biology, v. 107, no. 1, p. 101-115, https://doi.org/10.1111/jfb.70003.","productDescription":"15 p.","startPage":"101","endPage":"115","ipdsId":"IP-168901","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":489960,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfb.70003","text":"Publisher Index Page"},{"id":482504,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Missouri, Ohio","otherGeospatial":"Lake Erie, Mississippi River, Missouri River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.09086863677885,\n              38.97424653619632\n            ],\n            [\n              -92.3648115327897,\n              38.97424653619632\n            ],\n            [\n              -92.3648115327897,\n              38.420958358947615\n            ],\n            [\n              -90.09086863677885,\n              38.420958358947615\n            ],\n            [\n              -90.09086863677885,\n              38.97424653619632\n            ]\n          ]\n        ],\n        \"type\": 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\"Polygon\"\n      }\n    }\n  ]\n}","volume":"107","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Tammy Michelle 0000-0001-8570-6069","orcid":"https://orcid.org/0000-0001-8570-6069","contributorId":339888,"corporation":false,"usgs":true,"family":"Wilson","given":"Tammy Michelle","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":928718,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Acre, Matthew Ross 0000-0002-5417-9523","orcid":"https://orcid.org/0000-0002-5417-9523","contributorId":268034,"corporation":false,"usgs":true,"family":"Acre","given":"Matthew","email":"","middleInitial":"Ross","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":928719,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Fred 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Toledo","active":true,"usgs":false}],"preferred":false,"id":928722,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mapes, Robert L.","contributorId":339890,"corporation":false,"usgs":false,"family":"Mapes","given":"Robert L.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":928723,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kemp, Chris M.","contributorId":351499,"corporation":false,"usgs":false,"family":"Kemp","given":"Chris M.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":928724,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Young, Ryan T.","contributorId":351500,"corporation":false,"usgs":false,"family":"Young","given":"Ryan T.","affiliations":[{"id":6661,"text":"US Fish and Wildlife 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,{"id":70265658,"text":"70265658 - 2025 - Freshwater gastropod (Mollusca: Gastropoda) assemblages, habitat, and the first detection of an invasive gastropod species in two large, dreissenid-influenced, connecting rivers","interactions":[],"lastModifiedDate":"2025-12-15T16:20:23.994533","indexId":"70265658","displayToPublicDate":"2025-02-25T10:49:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Freshwater gastropod (Mollusca: Gastropoda) assemblages, habitat, and the first detection of an invasive gastropod species in two large, dreissenid-influenced, connecting rivers","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab005\" class=\"abstract author\"><div id=\"as005\"><div id=\"sp0005\" class=\"u-margin-s-bottom\">Native freshwater gastropods are a highly diverse and imperiled group of mollusks in North America and are influenced by a growing number of problematic invasive species. Consequently, there has been an increased need for understanding aquatic gastropod assemblages throughout North America to implement conservation and management strategies. In the Laurentian Great Lakes, gastropod surveys have been sparse, and most surveys have focused on invasive species. To investigate gastropod assemblages in two large connecting rivers of the Great Lakes, the Detroit and St. Clair rivers, benthic surveys were conducted in 2019 and 2021. Sites in the Detroit River (n&nbsp;=&nbsp;56) and the St. Clair River (n&nbsp;=&nbsp;51) were surveyed using petite PONAR grabs from which gastropod shells were identified and quantified to family or a group of two combined families. In both the Detroit and St. Clair rivers, the gastropod family Pleuroceridae (37&nbsp;% and 56&nbsp;% total composition, respectively) and combined families Amnicolidae&nbsp;+&nbsp;Hydrobiidae (42&nbsp;% and 23&nbsp;% total composition, respectively) contributed the most to overall gastropod composition. Invasive&nbsp;<i>Potamopyrgus antipodarum</i>&nbsp;shells were identified at 4 (7&nbsp;%) Detroit River sites and 10 (20&nbsp;%) St. Clair River sites&nbsp;and&nbsp;represent the first documented occurrence in the&nbsp;Detroit River. Although this study was limited to quantifying densities based on shells and cannot assume live-collected snail densities, these results provide a baseline knowledge of the gastropod assemblages and habitat use in these two large river systems which can be used to implement conservation and management strategies.</div></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsiever","doi":"10.1016/j.jglr.2024.102497","usgsCitation":"Keretz, S., Woolnough, D., VanTassel, N., Powell, D., Sanfilippo, G., Wright, A., Morris, T., Elgin, A., Roseman, E., and Zanatta, D., 2025, Freshwater gastropod (Mollusca: Gastropoda) assemblages, habitat, and the first detection of an invasive gastropod species in two large, dreissenid-influenced, connecting rivers: Journal of Great Lakes Research, v. 51, no. 6, 102497, 11 p., https://doi.org/10.1016/j.jglr.2024.102497.","productDescription":"102497, 11 p.","ipdsId":"IP-161849","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":484507,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Detroit River, St. Clair River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -82.2923619859251,\n              43.021157360909115\n            ],\n            [\n              -82.7054425259878,\n              43.021157360909115\n            ],\n            [\n              -82.7054425259878,\n              42.50794751625088\n            ],\n            [\n              -82.2923619859251,\n              42.50794751625088\n            ],\n            [\n              -82.2923619859251,\n              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D.","contributorId":353259,"corporation":false,"usgs":false,"family":"Powell","given":"D.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":933203,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sanfilippo, G.","contributorId":353262,"corporation":false,"usgs":false,"family":"Sanfilippo","given":"G.","affiliations":[{"id":13588,"text":"Central Michigan University","active":true,"usgs":false}],"preferred":false,"id":933204,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wright, A.L.","contributorId":192493,"corporation":false,"usgs":false,"family":"Wright","given":"A.L.","email":"","affiliations":[],"preferred":false,"id":933205,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Morris, T.J.","contributorId":268208,"corporation":false,"usgs":false,"family":"Morris","given":"T.J.","email":"","affiliations":[{"id":13677,"text":"Fisheries and Oceans 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,{"id":70264599,"text":"70264599 - 2025 - Spatiotemporal interactions facilitate sympatry in a diverse mammalian community","interactions":[],"lastModifiedDate":"2025-03-17T14:50:01.007495","indexId":"70264599","displayToPublicDate":"2025-02-25T09:43:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Spatiotemporal interactions facilitate sympatry in a diverse mammalian community","docAbstract":"<p><span>Understanding mechanisms underlying coexistence among potential competitors, and between predators and prey, is a persistent challenge in community ecology. Using 6 years (2013–2018) of camera-trapping data and species interaction models, we investigated the spatiotemporal patterns of inter- and intra-guild interspecific interactions in a diverse terrestrial mammalian community in Pakke Wildlife Sanctuary and Tiger Reserve (PTR), Northeast India. We found no evidence of spatial interaction among apex predators (tiger&nbsp;</span><i>Panthera tigris</i><span>, leopard&nbsp;</span><i>Panthera pardus</i><span>, and dhole&nbsp;</span><i>Cuon alpinus</i><span>). However, dholes temporally separated themselves from tigers and leopards. Among small carnivores, marbled cat (</span><i>Pardofelis marmorata</i><span>) and leopard cat (</span><i>Prionailurus bengalensis</i><span>) exhibited temporal separation, whereas leopard cat overlapped spatially and temporally with other small carnivores. Herbivores exhibited neither spatial nor temporal separation with each other. All apex predators exhibited diel activity and space-use patterns to overlap with their preferred prey. Our results suggest that the assembly of the diverse mammalian community of PTR is a complex process, and coexistence among potential competitors, and predators and prey is likely facilitated by several mechanisms including spatial and temporal segregation, and potentially dietary separation.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70125","usgsCitation":"Chaudharya, V., Goswami, V., Ri, C., Hines, J.E., and Oli, M., 2025, Spatiotemporal interactions facilitate sympatry in a diverse mammalian community: Ecosphere, v. 16, no. 2, e70125, 19 p., https://doi.org/10.1002/ecs2.70125.","productDescription":"e70125, 19 p.","ipdsId":"IP-157451","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":488320,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70125","text":"Publisher Index Page"},{"id":483450,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"India","state":"Arunachal Pradesh","otherGeospatial":"Pakke Wildlife Sanctuary and Tiger Reserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              92.57841423739944,\n              27.27002678200266\n            ],\n            [\n              92.57841423739944,\n              26.882944743097184\n            ],\n            [\n              93.4,\n              26.882944743097184\n            ],\n            [\n              93.4,\n              27.27002678200266\n            ],\n            [\n              92.57841423739944,\n              27.27002678200266\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Chaudharya, Vratika","contributorId":352356,"corporation":false,"usgs":false,"family":"Chaudharya","given":"Vratika","affiliations":[{"id":84184,"text":"Department of Wildlife Ecology and Conservation, Newins-Zeigler Hall, University of Florida, Gainesville, FL 32611; Corresponding author current affiliation and address:  NatureServe, 2550 South Clark Street, Suite 930, Arlington, VA 22202  ","active":true,"usgs":false}],"preferred":false,"id":930927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goswami, Varun R.","contributorId":352357,"corporation":false,"usgs":false,"family":"Goswami","given":"Varun R.","affiliations":[{"id":84185,"text":"Conservation Initiatives, Guwahati 781022, Assam, India","active":true,"usgs":false}],"preferred":false,"id":930928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ri, Chandan","contributorId":352358,"corporation":false,"usgs":false,"family":"Ri","given":"Chandan","affiliations":[{"id":84186,"text":"Pakke Tiger Reserve Forest Department, Seijosa Range, Lower Seijosa, Arunachal Pradesh, India","active":true,"usgs":false}],"preferred":false,"id":930929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hines, James E. 0000-0001-5478-7230 jhines@usgs.gov","orcid":"https://orcid.org/0000-0001-5478-7230","contributorId":146530,"corporation":false,"usgs":true,"family":"Hines","given":"James","email":"jhines@usgs.gov","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":930930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oli, Madan K.","contributorId":352359,"corporation":false,"usgs":false,"family":"Oli","given":"Madan K.","affiliations":[{"id":84187,"text":"Department of Wildlife Ecology and Conservation, Newins-Zeigler Hall, University of Florida, Gainesville, FL 32611","active":true,"usgs":false}],"preferred":false,"id":930931,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263914,"text":"70263914 - 2025 - Integrating data to assess occupancy patterns of an endangered bumble bee","interactions":[],"lastModifiedDate":"2025-08-04T15:35:01.969665","indexId":"70263914","displayToPublicDate":"2025-02-25T09:34:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Integrating data to assess occupancy patterns of an endangered bumble bee","docAbstract":"<p><span>There is growing interest in integrating community science data with structured monitoring data to estimate changes in distribution patterns of imperiled species, including pollinators. However, significant challenges remain in determining how unstructured community science data should be incorporated into formal analyses of species distributions. We developed a dynamic framework for combining community science and structured monitoring data of bumble bees to estimate changes in occupancy of rusty-patched bumble bees (</span><i>Bombus affinis</i><span>), a federally endangered species in the United States. We applied traditional metapopulation theory and accounted for imperfect detection to estimate site-specific extirpation risk and colonization rates across the known distribution of&nbsp;</span><i>B. affinis</i><span>&nbsp;in the Upper Midwest (USA). Despite a 144% increase in presence-only detections from 2017 to 2022, occupancy probabilities and the estimated number of occupied sites remained static or declined slightly across a 4-state region during this period. Our results provide preliminary evidence that the probability of local extirpation risk of&nbsp;</span><i>B. affinis</i><span>&nbsp;increased in response to drought, but that effect was tempered with a high number of neighboring patches occupied by&nbsp;</span><i>B. affinis</i><span>&nbsp;(i.e., rescue effect). Our framework can be used by managers to track population recovery goals for&nbsp;</span><i>B. affinis</i><span>&nbsp;and other bumble bees of conservation concern. In addition, our study highlights the importance of accounting for imperfect detection and addressing spatial sampling biases in bumble bee monitoring efforts, particularly those for which a portion of the monitoring data are generated from community science projects.</span></p>","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/cobi.14458","usgsCitation":"Ellis, K.S., Otto, C., Bailey, L.L., Smith, T.A., Choy, S.J., and Hatch, L., 2025, Integrating data to assess occupancy patterns of an endangered bumble bee: Conservation Biology, v. 39, no. 4, e14458, 11 p., https://doi.org/10.1111/cobi.14458.","productDescription":"e14458, 11 p.","ipdsId":"IP-166043","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":482639,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":487711,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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Wisconsin","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-87.800477,42.49192],[-87.812461,42.232278],[-87.524844,41.691635],[-87.531646,39.347888],[-87.640435,39.166727],[-87.496537,38.778571],[-87.975511,38.232742],[-88.158207,37.664542],[-88.078046,37.532029],[-88.450127,37.411717],[-88.490068,37.067874],[-88.98326,37.228685],[-89.138437,36.985089],[-89.345996,37.025521],[-89.517692,37.29204],[-89.43413,37.426847],[-89.566704,37.707189],[-90.353902,38.213855],[-90.166409,38.876348],[-90.406367,38.962554],[-90.625122,38.888654],[-90.767648,39.280025],[-91.367753,39.729029],[-91.506006,40.108126],[-91.46214,40.342414],[-91.785916,40.611488],[-95.746443,40.584935],[-95.852615,40.702262],[-95.929889,41.415155],[-96.096186,41.547192],[-96.077543,41.777824],[-96.628741,42.757532],[-96.448134,43.104452],[-96.598396,43.495074],[-96.453049,43.500415],[-96.452948,45.268925],[-96.835451,45.586129],[-96.587093,45.816445],[-96.559271,46.058272],[-96.789572,46.639079],[-96.851293,47.589264],[-97.139497,48.153108],[-97.108655,48.691484],[-97.238387,48.982631],[-95.153711,48.998903],[-95.153314,49.384358],[-94.974286,49.367738],[-94.555835,48.716207],[-93.741843,48.517347],[-92.984963,48.623731],[-92.634931,48.542873],[-92.698824,48.494892],[-92.341207,48.23248],[-92.066269,48.359602],[-91.542512,48.053268],[-90.88548,48.245784],[-90.703702,48.096009],[-89.489226,48.014528],[-90.735927,47.624343],[-92.058888,46.809938],[-92.025789,46.710839],[-91.781928,46.697604],[-90.880358,46.957661],[-90.78804,46.844886],[-90.920813,46.637432],[-90.327548,46.550262],[-89.929158,46.29975],[-88.141001,45.930608],[-88.13364,45.823128],[-87.831442,45.714938],[-87.887828,45.358122],[-87.647454,45.345232],[-87.72796,45.207956],[-87.59188,45.094689],[-87.983065,44.72073],[-87.970702,44.530292],[-87.021088,45.296541],[-87.73063,43.893862],[-87.910172,43.236634],[-87.800477,42.49192]]],[[[-86.880572,45.331467],[-86.956192,45.351179],[-86.82177,45.427602],[-86.880572,45.331467]]]]},\"properties\":{\"name\":\"Iowa\",\"nation\":\"USA 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0000-0002-5959-2018","orcid":"https://orcid.org/0000-0002-5959-2018","contributorId":335492,"corporation":false,"usgs":false,"family":"Bailey","given":"Larissa","email":"","middleInitial":"L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":929068,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Tamara A.","contributorId":257977,"corporation":false,"usgs":false,"family":"Smith","given":"Tamara","email":"","middleInitial":"A.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":929069,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choy, Steven J.","contributorId":138668,"corporation":false,"usgs":false,"family":"Choy","given":"Steven","email":"","middleInitial":"J.","affiliations":[{"id":6678,"text":"U.S. Fish and Wildlife Service, Alaska Maritime National Wildlife Refuge","active":true,"usgs":false}],"preferred":false,"id":929070,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatch, Lauren","contributorId":351607,"corporation":false,"usgs":false,"family":"Hatch","given":"Lauren","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":929071,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70270720,"text":"70270720 - 2025 - Prevalence of pelagic diatoms and harmful algae in tellinid bivalve diets during record low sea ice in the Pacific Arctic determined by DNA metabarcoding","interactions":[],"lastModifiedDate":"2025-08-22T16:15:36.762368","indexId":"70270720","displayToPublicDate":"2025-02-25T09:05:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Prevalence of pelagic diatoms and harmful algae in tellinid bivalve diets during record low sea ice in the Pacific Arctic determined by DNA metabarcoding","docAbstract":"<p><span>Understanding changes at the base of the marine food web in the rapidly transforming Arctic is essential for predicting and evaluating ecosystem dynamics. The northern Bering Sea experienced record low sea ice in 2018, followed by the second lowest in 2019, highlighting the urgency of the issue for this region. In this study, we investigated the diet of the clam&nbsp;</span><i>Macoma calcarea</i><span>&nbsp;in the Pacific Arctic using DNA metabarcoding, employing 18S and rbcL markers to identify dietary components. Our findings revealed a strong dependence on pelagic diatoms, particularly&nbsp;</span><i>Chaetoceros</i><span>&nbsp;sp., with a near absence of ice algae in the clam diet. This pattern reflects the lack of lipid-rich ice algal production during these low sea ice events. Additionally, our analysis detected algae capable of producing harmful toxins, notably&nbsp;</span><i>Alexandrium</i><span>&nbsp;dinoflagellates, in the clam diet, underscoring the need for increased monitoring due to potential ecosystem and human health risks. This study demonstrates the utility of DNA metabarcoding in unraveling the complex dynamics of Arctic marine food webs and pelagic-benthic coupling, providing a glimpse of future conditions in a rapidly changing environment.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2025.1480327","collaboration":"USFWS","usgsCitation":"Koch, C.W., Sonsthagen, S.A., Cooper, L.W., Grebmeier, J.M., Riddle-Berntsen, A.E., and Cornman, R.S., 2025, Prevalence of pelagic diatoms and harmful algae in tellinid bivalve diets during record low sea ice in the Pacific Arctic determined by DNA metabarcoding: Frontiers in Marine Science, v. 12, 1480327, 14 p., https://doi.org/10.3389/fmars.2025.1480327.","productDescription":"1480327, 14 p.","ipdsId":"IP-166863","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":495045,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2025.1480327","text":"Publisher Index Page"},{"id":494534,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","otherGeospatial":"Bering Sea, Chukchi Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -183.27217690714645,\n              72.22479628086961\n            ],\n            [\n              -183.27217690714645,\n              55.25744455505705\n            ],\n            [\n              -161.00455076929785,\n              55.25744455505705\n            ],\n            [\n              -161.00455076929785,\n              72.22479628086961\n            ],\n            [\n              -183.27217690714645,\n              72.22479628086961\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2025-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Koch, Chelsea W.","contributorId":360199,"corporation":false,"usgs":false,"family":"Koch","given":"Chelsea","middleInitial":"W.","affiliations":[{"id":48453,"text":"American University","active":true,"usgs":false}],"preferred":false,"id":946888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":353767,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":946889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Lee W.","contributorId":360202,"corporation":false,"usgs":false,"family":"Cooper","given":"Lee","middleInitial":"W.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":946890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grebmeier, Jacqueline M.","contributorId":360205,"corporation":false,"usgs":false,"family":"Grebmeier","given":"Jacqueline","middleInitial":"M.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":946891,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Riddle-Berntsen, Ann Elizabeth 0000-0002-1925-0849","orcid":"https://orcid.org/0000-0002-1925-0849","contributorId":245652,"corporation":false,"usgs":true,"family":"Riddle-Berntsen","given":"Ann","email":"","middleInitial":"Elizabeth","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"preferred":true,"id":946892,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":946893,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70265842,"text":"70265842 - 2025 - Management and natural regeneration in multiple ponderosa pine forests of the southwestern United States","interactions":[],"lastModifiedDate":"2025-06-12T15:36:39.107884","indexId":"70265842","displayToPublicDate":"2025-02-25T08:51:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1688,"text":"Forest Science","active":true,"publicationSubtype":{"id":10}},"title":"Management and natural regeneration in multiple ponderosa pine forests of the southwestern United States","docAbstract":"<p><span>Management treatments in ponderosa pine forests of the southwestern United States (SWUS) are largely done for wildfire mitigation and restoration to lower tree densities. However, lack of natural ponderosa pine regeneration in undisturbed forests (i.e., no occurrence of stand-replacing events) may require management treatments to promote regeneration. We conducted a field and modeling study in 77 ponderosa pine forests across 7 SWUS locations, with the goal of evaluating management impacts on recent natural regeneration (</span><span class=\"mathjax-tex\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo>&amp;#x223C;</mo></math>\"><span class=\"MJX_Assistive_MathML\">∼</span></span></span><span>20 y). We categorized management into 3 broad categories: unmanaged, thinned from above and/or below (thinning), and thinned&nbsp;</span><span class=\"mathjax-tex\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo>+</mo></math>\"><span class=\"MJX_Assistive_MathML\">+</span></span></span><span>&nbsp;understory burned (burning). Although climate suitability declined from 1981-2020, management treatments – especially burning – promoted natural regeneration. High density regeneration, an undesirable outcome, occurred in 21</span><span class=\"mathjax-tex\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi mathvariant=&quot;normal&quot;>&amp;#x0025;</mi></math>\"><span class=\"MJX_Assistive_MathML\">%</span></span></span><span>&nbsp;of managed sites. In addition to effects on near-surface temperature and soil moisture, management conducive to natural regeneration was associated with the density of competing tree species, understory litter and debris cover, and adult tree cone production. Natural regeneration occurred&nbsp;</span><span class=\"mathjax-tex\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo>&amp;#x223C;</mo></math>\"><span class=\"MJX_Assistive_MathML\">∼</span></span></span><span>5-10 y following management, underscoring sustained effects of management treatments on tree reproduction success. Our results show that forest management treatments have the potential to promote natural ponderosa pine regeneration in the SWUS, sometimes at undesirable high densities.&nbsp;</span><strong>Study Implications:</strong><span>&nbsp;Natural ponderosa pine regeneration is declining in forests of the southwestern United States (SWUS), and may increasingly be incorporated as a goal of forest management treatments. Across a diverse set of managed and unmanaged SWUS forest sites, we found that contemporary management treatments – especially thinning&nbsp;</span><span class=\"mathjax-tex\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo>+</mo></math>\"><span class=\"MJX_Assistive_MathML\">+</span></span></span><span>&nbsp;prescribed understory burning – supported natural ponderosa pine regeneration over the past two decades, which were climatically unfavorable in much of the region. Our results show that existing forest management treatments have the potential to promote natural ponderosa pine regeneration in the SWUS, but will require assessment and modification through time to remain effective.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s44391-025-00013-z","collaboration":"US Forest Service","usgsCitation":"Petrie, M., Hubbard, R.M., Bradford, J., Kolb, T.E., Noel, A.R., Schlaepfer, D.R., Bowen, M., Fuller, L., and Moser, W., 2025, Management and natural regeneration in multiple ponderosa pine forests of the southwestern United States: Forest Science, v. 71, p. 203-230, https://doi.org/10.1007/s44391-025-00013-z.","productDescription":"28 p.","startPage":"203","endPage":"230","ipdsId":"IP-153306","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":484676,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"71","noUsgsAuthors":false,"publicationDate":"2025-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Petrie, Matthew D.","contributorId":206328,"corporation":false,"usgs":false,"family":"Petrie","given":"Matthew D.","affiliations":[{"id":37312,"text":"Department of Plant & Environmental Sciences, New Mexico State University","active":true,"usgs":false}],"preferred":false,"id":933720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hubbard, Robert M. 0000-0003-2601-1798","orcid":"https://orcid.org/0000-0003-2601-1798","contributorId":334944,"corporation":false,"usgs":false,"family":"Hubbard","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":80290,"text":"USDA Forest Service, Rocky Mountain Research Station, Fort Collins, CO 80521, USA","active":true,"usgs":false}],"preferred":false,"id":933721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":933722,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kolb, Tom E.","contributorId":340095,"corporation":false,"usgs":false,"family":"Kolb","given":"Tom","email":"","middleInitial":"E.","affiliations":[{"id":39356,"text":"School of Forestry, Northern Arizona University, Flagstaff, AZ, 86011, USA","active":true,"usgs":false}],"preferred":false,"id":933723,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noel, Adam Roy 0000-0002-0891-4005","orcid":"https://orcid.org/0000-0002-0891-4005","contributorId":294761,"corporation":false,"usgs":true,"family":"Noel","given":"Adam","email":"","middleInitial":"Roy","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":933724,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":933725,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bowen, M.A.","contributorId":340096,"corporation":false,"usgs":false,"family":"Bowen","given":"M.A.","email":"","affiliations":[{"id":81462,"text":"USDA Forest Service, Lincoln National Forest, Cloudcroft, NM, USA","active":true,"usgs":false}],"preferred":false,"id":933726,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fuller, L.R.","contributorId":340098,"corporation":false,"usgs":false,"family":"Fuller","given":"L.R.","email":"","affiliations":[{"id":81463,"text":"USDA Forest Service, Apache-Sitgreaves National Forest, Springerville, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":933727,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Moser, W. Keith","contributorId":298271,"corporation":false,"usgs":false,"family":"Moser","given":"W. Keith","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":933728,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70267242,"text":"70267242 - 2025 - Carbon dioxide infusion reduces invasive mussel biofouling (quagga mussel; Dreissena rostriformis bugensis) in raw water systems","interactions":[],"lastModifiedDate":"2025-05-19T15:40:50.381767","indexId":"70267242","displayToPublicDate":"2025-02-25T08:32:58","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":21637,"text":"Biofouling","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dioxide infusion reduces invasive mussel biofouling (quagga mussel; Dreissena rostriformis bugensis) in raw water systems","docAbstract":"<p><span>The efficacy of carbon dioxide (CO</span><sub>2</sub><span>) to reduce biofouling by quagga mussels (</span><i>Dreissena rostriformis bugensis</i><span>) in raw water systems was investigated. Experiments were conducted in a mobile laboratory located at Bureau of Reclamation Davis Dam Hydropower Facility and supplied with raw water from Lake Mohave, a reservoir of the Colorado River, USA. Incoming water was split between five chambers, each infused with CO</span><sub>2</sub><span>&nbsp;at a different rate. Raw reservoir water containing quagga larvae (veligers) was mixed with CO</span><sub>2</sub><span>&nbsp;chamber outflows and delivered to tanks containing settlement plates. Two experiments were conducted. Experiment 1 tested continuous infusion at target concentrations of 30, 45, 60, 75, and 100 mg L</span><sup>-1</sup><span>&nbsp;dCO</span><sub>2</sub><span>&nbsp;(dissolved CO</span><sub>2</sub><span>). Experiment 2 evaluated intermittent infusion schedules: 24 h on/off with 50, 75, and 100 mg L</span><sup>-1</sup><span>&nbsp;dCO</span><sub>2</sub><span>&nbsp;and 24 h once/week with 100 mg L</span><sup>-1</sup><span>&nbsp;dCO</span><sub>2</sub><span>. In Experiment 1, the percent settlement decreased with mean CO</span><sub>2</sub><span>&nbsp;concentration, ranging from 5.0% to &lt; 0.1% in 28.7 and 92.2 mg L</span><sup>-1</sup><span>&nbsp;dCO</span><sub>2</sub><span>, respectively. In Experiment 2, the efficacy of 24 h on/off at dCO</span><sub>2</sub><span>&nbsp;&gt; 72.2 mg L</span><sup>-1</sup><span>&nbsp;was similar to continuous treatment. The least effective treatment was 24 h once weekly at 95 mg L</span><sup>-1</sup><span>&nbsp;dCO</span><sub>2</sub><span>. These results demonstrate that CO</span><sub>2</sub><span>&nbsp;treatment may reduce mussel biofouling in raw water systems.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/08927014.2025.2468282","usgsCitation":"Barbour, M., Severson, T.J., Wise, J.K., Meulemans, M.J., Kelly, K., Pucherelli, S., and Waller, D.L., 2025, Carbon dioxide infusion reduces invasive mussel biofouling (quagga mussel; Dreissena rostriformis bugensis) in raw water systems: Biofouling, v. 41, no. 3, p. 253-264, https://doi.org/10.1080/08927014.2025.2468282.","productDescription":"12 p.","startPage":"253","endPage":"264","ipdsId":"IP-166502","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":486161,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, Nevada","otherGeospatial":"Lake Havasu, Lake Mead, Lake Mohave","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.09753023326218,\n              33.35794111464041\n            ],\n            [\n              -85.09753023326218,\n              30.70192265047531\n            ],\n            [\n              -83.10505296880376,\n              30.70192265047531\n            ],\n            [\n              -83.10505296880376,\n              33.35794111464041\n            ],\n            [\n              -85.09753023326218,\n              33.35794111464041\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.83505505661213,\n              36.231331122870714\n            ],\n            [\n              -114.83505505661213,\n              34.240639367342254\n            ],\n            [\n              -114.0365407399222,\n              34.240639367342254\n            ],\n            [\n              -114.0365407399222,\n              36.231331122870714\n            ],\n            [\n              -114.83505505661213,\n              36.231331122870714\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-02-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Barbour, Matthew 0000-0002-0095-9188 mbarbour@usgs.gov","orcid":"https://orcid.org/0000-0002-0095-9188","contributorId":195580,"corporation":false,"usgs":true,"family":"Barbour","given":"Matthew","email":"mbarbour@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":937427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Severson, Todd J. 0000-0001-5282-3779 tseverson@usgs.gov","orcid":"https://orcid.org/0000-0001-5282-3779","contributorId":4749,"corporation":false,"usgs":true,"family":"Severson","given":"Todd","email":"tseverson@usgs.gov","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":937428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wise, Jeremy K. 0000-0003-0184-6959 jwise@usgs.gov","orcid":"https://orcid.org/0000-0003-0184-6959","contributorId":5009,"corporation":false,"usgs":true,"family":"Wise","given":"Jeremy","email":"jwise@usgs.gov","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":937429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meulemans, Matthew J 0000-0003-4584-8737","orcid":"https://orcid.org/0000-0003-4584-8737","contributorId":261521,"corporation":false,"usgs":true,"family":"Meulemans","given":"Matthew","email":"","middleInitial":"J","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":937430,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelly, Kevin","contributorId":213642,"corporation":false,"usgs":false,"family":"Kelly","given":"Kevin","email":"","affiliations":[{"id":38832,"text":"Esri","active":true,"usgs":false}],"preferred":false,"id":937431,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pucherelli, Sherri","contributorId":317860,"corporation":false,"usgs":false,"family":"Pucherelli","given":"Sherri","email":"","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":937432,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":937433,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70263938,"text":"70263938 - 2025 - lasertram: A Python library for time resolved analysis of laser ablation inductively coupled plasma mass spectrometry data","interactions":[],"lastModifiedDate":"2025-03-11T15:25:06.047162","indexId":"70263938","displayToPublicDate":"2025-02-25T07:46:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14424,"text":"Applied Computing and Geosciences","active":true,"publicationSubtype":{"id":10}},"title":"lasertram: A Python library for time resolved analysis of laser ablation inductively coupled plasma mass spectrometry data","docAbstract":"<p><span>Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) data has a wide variety of uses in the geosciences for in-situ chemical analysis of complex natural materials. Improvements to instrument capabilities and operating software have drastically reduced the time required to generate large volumes of data relative to previous methodologies. Raw data from LA-ICP-MS, however, is in counts per unit time (typically counts per second), not elemental concentrations and converting these count ratesto concentrations requires additional processing. For complex materials where the ablated volume may contain a range of material compositions, a moderate amount of user input is also required if appropriate concentrations are to be accurately calculated. In geologic materials such as glasses and minerals that potentially have numerous heterogeneities (e.g., microlites or other inclusions) within them, this is typically determiningwhether the total ablation signal should be filtered to remove these heterogeneities. This necessitates that the LA-ICP-MS data processing pipeline is one that is not automated, but is also designed to enable rapid and efficient processing of large volumes of data.</span></p><p><span>Here we introduce&nbsp;<img src=\"https://ars.els-cdn.com/content/image/1-s2.0-S2590197425000072-fx1001.jpg\" alt=\"\" height=\"14\" data-mce-src=\"https://ars.els-cdn.com/content/image/1-s2.0-S2590197425000072-fx1001.jpg\">&nbsp;, a Python library for the time resolved analysis of LA-ICP-MS data. We outline its mathematical theory, code structure, and provide an example of how it can be used to provide the time resolved analysis necessitated by LA-ICP-MS data of complex geologic materials. Throughout the&nbsp;<img src=\"https://ars.els-cdn.com/content/image/1-s2.0-S2590197425000072-fx1002.jpg\" alt=\"\" height=\"14\" data-mce-src=\"https://ars.els-cdn.com/content/image/1-s2.0-S2590197425000072-fx1002.jpg\">&nbsp;pipeline we show how metadata and data are incrementally added to the objects created such that virtually any aspect of an experiment may be interrogated and its quality assessed. We also show, that when combined with other Python libraries for building graphical user interfaces, it can be utilized outside of a pure scripting environment.&nbsp;<img src=\"https://ars.els-cdn.com/content/image/1-s2.0-S2590197425000072-fx1003.jpg\" alt=\"\" height=\"14\" data-mce-src=\"https://ars.els-cdn.com/content/image/1-s2.0-S2590197425000072-fx1003.jpg\">&nbsp;can be found at&nbsp;<a class=\"anchor anchor-primary\" rel=\"noopener\" href=\"https://doi.org/10.5066/P1DZUR3Z\" target=\"_blank\" data-mce-href=\"https://doi.org/10.5066/P1DZUR3Z\"><span class=\"anchor-text-container\"><span class=\"anchor-text\">https://doi.org/10.5066/P1DZUR3Z</span></span></a></span></p>","language":"English","publisher":"Elseiver","doi":"10.1016/j.acags.2025.100225","usgsCitation":"Lubbers, J.E., Kent, A., and Russo, C., 2025, lasertram: A Python library for time resolved analysis of laser ablation inductively coupled plasma mass spectrometry data: Applied Computing and Geosciences, v. 25 p., 100225, 16 p., https://doi.org/10.1016/j.acags.2025.100225.","productDescription":"100225, 16 p.","ipdsId":"IP-168201","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488954,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.acags.2025.100225","text":"Publisher Index Page"},{"id":482732,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25 p.","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lubbers, Jordan Edward 0000-0002-3566-5091","orcid":"https://orcid.org/0000-0002-3566-5091","contributorId":330466,"corporation":false,"usgs":true,"family":"Lubbers","given":"Jordan","email":"","middleInitial":"Edward","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":929191,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kent, Adam J.R.","contributorId":351642,"corporation":false,"usgs":false,"family":"Kent","given":"Adam J.R.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":929192,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Russo, Chris","contributorId":351643,"corporation":false,"usgs":false,"family":"Russo","given":"Chris","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":929193,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70267774,"text":"70267774 - 2025 - Declining marine survival of steelhead trout linked to climate and ecosystem change","interactions":[],"lastModifiedDate":"2025-05-30T16:04:28.613244","indexId":"70267774","displayToPublicDate":"2025-02-24T11:01:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1652,"text":"Fish and Fisheries","active":true,"publicationSubtype":{"id":10}},"title":"Declining marine survival of steelhead trout linked to climate and ecosystem change","docAbstract":"<p><span>Species with complex life cycles, such as anadromous fish that perform spawning migrations between freshwater and the ocean, may be particularly sensitive to global change because freshwater and marine habitats experience distinct shifts in climate and ecosystem dynamics. Abundances of wild steelhead trout (</span><i>Oncorhynchus mykiss</i><span>) have declined across most of their range over the past 40–50 years. We examined whether declines in steelhead survival can be linked to changing climate conditions and species interactions. A novel hierarchical integrated population model that accounts for the species' complex life history was fitted to data from multiple wild steelhead populations on the Washington coast, U.S.A. The model estimates recruitment residuals and kelt survival rates as time-varying processes, which reflect annual variation in survival before and after first maturation. We found that survival rates of immature steelhead (recruits) and adult steelhead (kelts) have declined over time and that survival trends across populations were strongly associated with climate and ecosystem change, specifically summer sea surface temperature and pink salmon abundance in the North Pacific Ocean, the NPGO index and river flows. Including these drivers in the model reduced unexplained annual variation in shared recruitment and kelt survival anomalies and largely accounted for their negative long-term trends. Our findings provide evidence that rising temperatures and increased interspecific competition at sea have contributed to declines in steelhead survival over the last five decades. Considering projected warming and high pink salmon abundances in the ocean, steelhead will likely continue to experience low marine survival rates.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/faf.12878","usgsCitation":"Ohlberger, J., Buhle, E.R., Buehrens, T., Kendall, N.W., Harbison, T., Claiborne, A., Losee, J., Whitney, J., and Scheuerell, M.D., 2025, Declining marine survival of steelhead trout linked to climate and ecosystem change: Fish and Fisheries, v. 26, no. 3, p. 331-345, https://doi.org/10.1111/faf.12878.","productDescription":"15 p.","startPage":"331","endPage":"345","ipdsId":"IP-171261","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498240,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/faf.12878","text":"Publisher Index Page"},{"id":489289,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.82565481486084,\n              48.44004083179661\n            ],\n            [\n              -124.82565481486084,\n              46.36906210187334\n            ],\n            [\n              -122.42520649872698,\n              46.36906210187334\n            ],\n            [\n              -122.42520649872698,\n              48.44004083179661\n            ],\n            [\n              -124.82565481486084,\n              48.44004083179661\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Ohlberger, Jan","contributorId":331939,"corporation":false,"usgs":false,"family":"Ohlberger","given":"Jan","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":938813,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buhle, Eric R.","contributorId":339062,"corporation":false,"usgs":false,"family":"Buhle","given":"Eric","email":"","middleInitial":"R.","affiliations":[{"id":81244,"text":"Biomark Applied Biological Services","active":true,"usgs":false}],"preferred":false,"id":938814,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buehrens, Thomas W.","contributorId":288623,"corporation":false,"usgs":false,"family":"Buehrens","given":"Thomas W.","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":938815,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendall, Neala W.","contributorId":288624,"corporation":false,"usgs":false,"family":"Kendall","given":"Neala","email":"","middleInitial":"W.","affiliations":[{"id":61815,"text":"wafg","active":true,"usgs":false}],"preferred":false,"id":938816,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harbison, Toby","contributorId":356162,"corporation":false,"usgs":false,"family":"Harbison","given":"Toby","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":938817,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Claiborne, Andrew M.","contributorId":356164,"corporation":false,"usgs":false,"family":"Claiborne","given":"Andrew M.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":938818,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Losee, James P.","contributorId":356166,"corporation":false,"usgs":false,"family":"Losee","given":"James P.","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":938819,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Whitney, Jennifer","contributorId":356168,"corporation":false,"usgs":false,"family":"Whitney","given":"Jennifer","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":938820,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scheuerell, Mark David 0000-0002-8284-1254","orcid":"https://orcid.org/0000-0002-8284-1254","contributorId":288621,"corporation":false,"usgs":true,"family":"Scheuerell","given":"Mark","email":"","middleInitial":"David","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938821,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70264699,"text":"70264699 - 2025 - Reviews and syntheses: Variable inundation across Earth's terrestrial ecosystems","interactions":[],"lastModifiedDate":"2025-03-20T14:50:08.933728","indexId":"70264699","displayToPublicDate":"2025-02-24T09:42:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1011,"text":"Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Reviews and syntheses: Variable inundation across Earth's terrestrial ecosystems","docAbstract":"<p><span>The structure, function, and dynamics of Earth's terrestrial ecosystems are profoundly influenced by how often (frequency) and how long (duration) they are inundated with water. A diverse array of natural and human-engineered systems experience temporally variable inundation whereby they fluctuate between inundated and non-inundated states. Variable inundation spans extreme events to predictable sub-daily cycles. Variably inundated ecosystems (VIEs) include hillslopes, non-perennial streams, wetlands, floodplains, temporary ponds, tidal systems, storm-impacted coastal zones, and human-engineered systems. VIEs are diverse in terms of inundation regimes, water chemistry and flow velocity, soil and sediment properties, vegetation, and many other properties. The spatial and temporal scales of variable inundation are vast, ranging from sub-meter to whole landscapes and from sub-hourly to multi-decadal. The broad range of system types and scales makes it challenging to predict the hydrology, biogeochemistry, ecology, and physical evolution of VIEs. Despite all experiencing the loss and gain of an overlying water column, VIEs are rarely considered together in conceptual, theoretical, modeling, or measurement frameworks and approaches. Studying VIEs together has the potential to generate mechanistic understanding that is transferable across a much broader range of environmental conditions, relative to knowledge generated by studying any one VIE type. We postulate that enhanced transferability will be important for predicting changes in VIE function in response to global change. Here we aim to catalyze cross-VIE science that studies drivers and impacts of variable inundation across Earth's VIEs. To this end, we complement expert mini-reviews of eight major VIE systems with overviews of VIE-relevant methods and challenges associated with scale. We conclude with perspectives on how cross-VIE science can derive transferable understanding via unifying conceptual models in which the impacts of variable inundation are studied across multi-dimensional environmental space.</span></p>","language":"English","publisher":"European Geosciences Union","doi":"10.5194/bg-22-995-2025","usgsCitation":"Stegen, J., Burgin, A.J., Busch, M., Fisher, J.B., Ladau, J., Abrahamson, J., Kinsman-Costello, L., Li, L., Chen, X., Datry, T., McDowell, N., Tatariw, C., Braswell, A., Deines, J.M., Guimond, J., Regier, P., Rod, K., Bam, E., Fluet-Chouinard, E., Forbrich, I., Jaeger, K.L., O'Meara, T., Scheibe, T.D., Seybold, E., Sweetman, J.N., Zheng, J., Allen, D.C., Herndon, E., Middleton, B., Painter, S., Roche, K., Scamardo, J., Vander Vorste, R., Boye, K., Wohl, E., Zimmer, M., Hondula, K., Laan, M., Marshall, A., and Patel, K., 2025, Reviews and syntheses: Variable inundation across Earth's terrestrial ecosystems: Biogeosciences, v. 22, no. 4, p. 995-1034, https://doi.org/10.5194/bg-22-995-2025.","productDescription":"30 p.","startPage":"995","endPage":"1034","ipdsId":"IP-159303","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488342,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/bg-22-995-2025","text":"Publisher Index Page"},{"id":483581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Stegen, James","contributorId":242792,"corporation":false,"usgs":false,"family":"Stegen","given":"James","affiliations":[{"id":48525,"text":"Earth and Biological Sciences Division, Pacific Northwest National 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of Biological Sciences, Kent State University, Kent, OH","active":true,"usgs":false}],"preferred":false,"id":931326,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Li","contributorId":213722,"corporation":false,"usgs":false,"family":"Li","given":"Li","affiliations":[],"preferred":false,"id":931327,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chen, Xingyuan","contributorId":300626,"corporation":false,"usgs":false,"family":"Chen","given":"Xingyuan","email":"","affiliations":[{"id":27560,"text":"PNNL","active":true,"usgs":false}],"preferred":false,"id":931328,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Datry, Thibault 0000-0003-1390-6736","orcid":"https://orcid.org/0000-0003-1390-6736","contributorId":225166,"corporation":false,"usgs":false,"family":"Datry","given":"Thibault","email":"","affiliations":[{"id":41062,"text":"Centre de Lyon-Villeurbanne, 69626 Villeurbanne CEDEX, 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However, observed increases in algal biomass do not consistently correlate with air temperature or precipitation, and evidence is lacking for a causal effect of climate or the nonlinear dynamics needed to demonstrate regime shifts. We modeled the causal effects of climate on annual lake chlorophyll (a measure of algal biomass) over 34 y for 24,452 lakes across broad ecoclimatic zones of the United States and evaluated the potential for regime shifts. We found that algal biomass was causally related to climate in 34% of lakes. In these cases, 71% exhibited abrupt but mostly temporary shifts as opposed to persistent changes, 13% had the potential for regime shifts. Climate was causally related to algal biomass in lakes experiencing all levels of human disturbance, but with different likelihood. Climate causality was most likely to be observed in lakes with minimal human disturbance and cooler summer temperatures that have increased over the 34 y studied. Climate causality was variable in lakes with low to moderate human disturbance, and least likely in lakes with high human disturbance, which may mask climate causality. Our results explain some of the previously observed heterogeneous climate responses of lake algal biomass globally and they can be used to predict future climate effects on lakes.</div></div></div>","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2416172122","usgsCitation":"Soranno, P., Hanly, P., Webster, K., Wagner, T., McDonald, A., Shuvo, A., Schliep, E., Reinl, K., McCullough, I., Tan, P., Lottig, N., and Spence Cheruvelil, K., 2025, Abrupt changes in algal biomass of thousands of US lakes are related to climate and are more likely in low-disturbance watersheds.: PNAS, v. 122, no. 9, e2416172122, 10 p., https://doi.org/10.1073/pnas.2416172122.","productDescription":"e2416172122, 10 p.","ipdsId":"IP-166276","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":492493,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2416172122","text":"Publisher 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,{"id":70263964,"text":"70263964 - 2025 - Hydroclimate projections and effects on runoff at National Wildlife Refuges in the semi-arid western U.S.","interactions":[],"lastModifiedDate":"2026-02-10T13:52:37.210978","indexId":"70263964","displayToPublicDate":"2025-02-24T09:03:40","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":20192,"text":"JAWRA Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"Hydroclimate projections and effects on runoff at National Wildlife Refuges in the semi-arid western U.S.","docAbstract":"<p><span>This study evaluated hydroclimate projections and effects on runoff at National Wildlife Refuges in a semiarid region of the western United States (U.S. Fish and Wildlife Service Region 6) using mean air temperature (TAVE) and precipitation (PPT) inputs and runoff (RO) output from a national application of a Monthly Water Balance Model (MWBM). An ensemble of statistically downscaled global circulation models for two future emissions scenarios from Coupled Model Intercomparison Project 3 and 5 (CMIP3 and 5) were assessed at the refuges for the years 1950–2099. TAVE, PPT, and RO and departures from mean baseline conditions were analyzed from MWBM hydrologic response units within refuge boundaries. Seasonal results were evaluated across four periods: historical (1951–1969), baseline (1981–1999), 2050 (2041–2059), and 2080 (2071–2089). Projected TAVE increases for all refuges and time periods, whereas PPT and RO are much more variable across ecoregions. Using the high emission scenario, summer mean monthly TAVE increases range from 4.8°C to 5.5°C by 2080. Summer mean monthly PPT departures vary from −5.7 to 3.9 mm (up to 14% decrease), with decreases at 41% of refuges. Summer RO departures range from −16.7 to 0.2 mm (up to 60% decrease), with decreases at 71% of refuges. Under the same emission scenario, winter PPT and RO increase at most refuges by 2080. These variable departures will create substantial challenges for future conservation management in the region.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.13251","usgsCitation":"Caruso, B., Eng, L., Bock, A.R., and Hall, N.G., 2025, Hydroclimate projections and effects on runoff at National Wildlife Refuges in the semi-arid western U.S.: JAWRA Journal of the American Water Resources Association, v. 61, no. 1, e13251, https://doi.org/10.1111/1752-1688.13251.","productDescription":"e13251","ipdsId":"IP-159661","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":482792,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-02-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Caruso, Brian S. 0000-0002-2184-4961","orcid":"https://orcid.org/0000-0002-2184-4961","contributorId":257039,"corporation":false,"usgs":false,"family":"Caruso","given":"Brian S.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":929370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eng, Lauren Ellissa 0009-0003-9808-4184","orcid":"https://orcid.org/0009-0003-9808-4184","contributorId":332901,"corporation":false,"usgs":true,"family":"Eng","given":"Lauren Ellissa","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929371,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bock, Andrew R. 0000-0001-7222-6613 abock@usgs.gov","orcid":"https://orcid.org/0000-0001-7222-6613","contributorId":4580,"corporation":false,"usgs":true,"family":"Bock","given":"Andrew","email":"abock@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929372,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hall, Nicholas Graff 0000-0002-7331-8947","orcid":"https://orcid.org/0000-0002-7331-8947","contributorId":315497,"corporation":false,"usgs":true,"family":"Hall","given":"Nicholas","email":"","middleInitial":"Graff","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929373,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264627,"text":"70264627 - 2025 - James Buttle review: The characteristics of baseflow resilience across diverse ecohydrological terrains","interactions":[],"lastModifiedDate":"2025-03-19T13:12:59.597752","indexId":"70264627","displayToPublicDate":"2025-02-23T08:21:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"James Buttle review: The characteristics of baseflow resilience across diverse ecohydrological terrains","docAbstract":"The dynamic storage of aquifers is the portion of groundwater that can potentially drain to any given point along a stream to create baseflow. Baseflow typically occurs year-round in perennial streams, though the characteristics and stability of dynamic storage are often most important to instream processes during extended dry periods (without precipitation and snowmelt) when runoff and quickflows are minimised. The term ‘baseflow resilience’ is defined for this review as the tendency of baseflow in streams to maintain a consistent volume and water quality year to year while under stress from climate variability and extremes, along with anthropogenic stressors such as water withdrawals, land use change, and water quality degradation. ‘Baseflow resilience’ has, in part, a user-defined meaning spanning water supply and water quality variables of primary interest. Watershed characteristics that directly impact resilience can often produce non-intuitive feedbacks that enhance some attributes of baseflow while simultaneously impairing others. For example, permeable stream corridor geology creates strong stream-groundwater hydrologic connectivity, yet fast groundwater drainage via preferential high-permeability flowpaths can lead to streamflow not being sustained during extended dry periods. Also, shallow groundwater sources are generally more immediately vulnerable to extreme events, warming, salinization, transpiration, and precipitation drought, compared to deeper groundwater. Yet baseflow drought in streams influenced by deeper groundwater can lag precipitation drought by years, and contaminant legacies may propagate through deep groundwater flowpaths to receiving waters for decades to centuries. Finally, irrigation withdrawals can intercept groundwater that would have drained to streams, and the application of irrigation may leach contaminants from the soil zone by unnaturally raising water tables, yet irrigation return flows can sustain baseflow and groundwater-dependent habitats in semiarid areas. This review covers the concept of hydrologic resilience in the context of stream baseflow processes and summarises the common hydrogeological controls on, and multiscale stressors of, dynamic groundwater storage. Further, we present several quantitative metrics to assess a range of water supply to water quality baseflow characteristics using both broadly available and boutique data types, a subset of which are demonstrated using data from the Delaware River Basin, USA.","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70101","usgsCitation":"Briggs, M., Newman, C.P., Benton, J., Rey, D., Konrad, C., Ouellet, V., Torgersen, C.E., Gruhn, L.R., Fleming, B.J., Gazoorian, C.L., and Doctor, D.H., 2025, James Buttle review: The characteristics of baseflow resilience across diverse ecohydrological terrains: Hydrological Processes, v. 39, e70101, 21 p., https://doi.org/10.1002/hyp.70101.","productDescription":"e70101, 21 p.","ipdsId":"IP-172740","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":488334,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.70101","text":"Publisher Index Page"},{"id":483482,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Delaware, New Jersey, Pennsylvania","otherGeospatial":"Delaware River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.72740040176602,\n              40.21569215354026\n            ],\n            [\n              -75.72740040176602,\n              39.17926830473752\n            ],\n            [\n              -74.59478267456883,\n              39.17926830473752\n            ],\n            [\n              -74.59478267456883,\n              40.21569215354026\n            ],\n            [\n              -75.72740040176602,\n              40.21569215354026\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"39","noUsgsAuthors":false,"publicationDate":"2025-03-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - 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Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":931001,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Konrad, Christopher 0000-0002-7354-547X","orcid":"https://orcid.org/0000-0002-7354-547X","contributorId":220231,"corporation":false,"usgs":true,"family":"Konrad","given":"Christopher","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931002,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ouellet, Valerie","contributorId":316799,"corporation":false,"usgs":false,"family":"Ouellet","given":"Valerie","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":931003,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":931004,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gruhn, Lance R. 0000-0002-7120-3003 lgruhn@usgs.gov","orcid":"https://orcid.org/0000-0002-7120-3003","contributorId":219710,"corporation":false,"usgs":true,"family":"Gruhn","given":"Lance","email":"lgruhn@usgs.gov","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931005,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fleming, Brandon J. 0000-0001-9649-7485 bjflemin@usgs.gov","orcid":"https://orcid.org/0000-0001-9649-7485","contributorId":4115,"corporation":false,"usgs":true,"family":"Fleming","given":"Brandon","email":"bjflemin@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931006,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gazoorian, Christopher L. 0000-0002-5408-6212 cgazoori@usgs.gov","orcid":"https://orcid.org/0000-0002-5408-6212","contributorId":2929,"corporation":false,"usgs":true,"family":"Gazoorian","given":"Christopher","email":"cgazoori@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931007,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":931008,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70267360,"text":"70267360 - 2025 - Heterogeneity of locked‐pasture snow conditions modulate habitat and movement choices of a facultative migrant","interactions":[],"lastModifiedDate":"2025-05-21T13:59:10.296747","indexId":"70267360","displayToPublicDate":"2025-02-22T08:53:00","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Heterogeneity of locked‐pasture snow conditions modulate habitat and movement choices of a facultative migrant","docAbstract":"<p><span>Habitat selection and movement are key mechanisms by which animals can respond to and potentially cope with highly variable environmental conditions. Optimal responses likely vary, however, depending on the severity and scope of conditions. We tested this hypothesis using a facultative migrant species, the Great Gray Owl (</span><i>Strix nebulosa</i><span>), which exhibits high inter- and intra-individual variation in the timing, direction, and distance of winter movements. Specifically, we evaluated whether episodic, spatiotemporally variable “locked-pasture” snow conditions, which restrict access to subnivean food, prompted shifts in habitat selection or long-distance movements by owls. We quantified the movement of 42 owls using global positioning system (GPS) data within the Greater Yellowstone Ecosystem, USA, during 2017–2022. We used a novel ecological application of SnowModel, a snow evolution modeling system, to estimate fine-scale, physical snow properties likely to influence access to prey. Variables included snow depth, snow crusts produced by wind, and ice crusts produced by melt-freeze and rain-on-snow events. Owls avoided heterogeneously distributed wind crusts via local shifts in habitat selection. More homogenous ice crusts elicited long-distance movements away from affected home ranges. Finally, owls employed both proximate shifts in habitat selection and long-distance movements to avoid deeper snow. Ultimately, owls exhibited behavioral flexibility in response to limiting snow conditions that can vary in terms of severity, spatial extent, and duration. Such behavioral responses determine species distribution, with implications for population and community dynamics in spatiotemporally variable systems. Understanding the effects of, and responses to, environmental controls is increasingly important given the scope of on-going global change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.70925","usgsCitation":"Gura, K., Liston, G.E., Reinking, A., Bedrosian, B., Elder, K., and Chalfoun, A.D., 2025, Heterogeneity of locked‐pasture snow conditions modulate habitat and movement choices of a facultative migrant: Ecology and Evolution, v. 15, no. 2, e70925, 18 p., https://doi.org/10.1002/ece3.70925.","productDescription":"e70925, 18 p.","ipdsId":"IP-174996","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":486924,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.70925","text":"Publisher Index Page"},{"id":486280,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.012,\n              44.672\n            ],\n            [\n              -112.012,\n              42.92\n            ],\n            [\n              -109.63,\n              42.92\n            ],\n            [\n              -109.63,\n              44.672\n            ],\n            [\n              -112.012,\n              44.672\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-02-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Gura, Katherine","contributorId":333836,"corporation":false,"usgs":false,"family":"Gura","given":"Katherine","email":"","affiliations":[],"preferred":false,"id":937966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liston, Glen E.","contributorId":26244,"corporation":false,"usgs":true,"family":"Liston","given":"Glen","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":937967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reinking, Adele K.","contributorId":348037,"corporation":false,"usgs":false,"family":"Reinking","given":"Adele K.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":937968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bedrosian, Bryan","contributorId":199738,"corporation":false,"usgs":false,"family":"Bedrosian","given":"Bryan","affiliations":[{"id":35591,"text":"Teton Raptor Center","active":true,"usgs":false}],"preferred":false,"id":937969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elder, Kelly","contributorId":174398,"corporation":false,"usgs":false,"family":"Elder","given":"Kelly","email":"","affiliations":[{"id":5121,"text":"U.S. Forest Service, Rocky Mountain Research Station, 1221 South Main Street, Moscow, ID 83843","active":true,"usgs":false}],"preferred":false,"id":937970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":937971,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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