{"pageNumber":"100","pageRowStart":"2475","pageSize":"25","recordCount":185258,"records":[{"id":70265472,"text":"sir20255012 - 2025 - Sediment nutrient dynamics in selected Milwaukee metropolitan area streams, Wisconsin, 2022","interactions":[],"lastModifiedDate":"2025-04-16T14:15:30.417956","indexId":"sir20255012","displayToPublicDate":"2025-04-07T14:02:42","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5012","displayTitle":"Sediment Nutrient Dynamics in Selected Milwaukee Metropolitan Area Streams, Wisconsin, 2022","title":"Sediment nutrient dynamics in selected Milwaukee metropolitan area streams, Wisconsin, 2022","docAbstract":"<p>The U.S. Geological Survey and Milwaukee Metropolitan Sewerage District in Wisconsin have an ongoing partnership to monitor water quality in streams in the Milwaukee metropolitan area and to assess the effects of stream restoration on habitat and water quality. Because sediment nutrient dynamics can improve or further impair water quality, we measured sediment nitrogen and phosphorus concentrations, potential nitrogen removal, and potential phosphorus retention at 32 streams sites in the Milwaukee metropolitan area in summer 2022. Four of the sites were in rehabilitated stream reaches. Based on the results from this project, we provided a rating of good, fair, or poor for the sediment nutrient dynamics at each site.</p><p>Sediment nitrogen removal and phosphorus retention in stream reaches increased as the proportion of fine particles increased. Bioavailable nitrogen and phosphorus concentrations increased in stream reaches as particle size decreased, especially at locations with more silt and clay. Particle size typically decreased from upstream to downstream, and several of the sites with finer particles were in downstream parts of the study area, especially in the Milwaukee Estuary sites. The sites that had more fine sediment and higher bioavailable nutrients also had elevated rates of nitrification and denitrification enzyme activity, which is a measurement of the potential nitrogen removal when nitrogen and carbon do not limit the denitrifying bacteria. Additionally, sites with fine sediment typically had the highest potential to retain phosphorus as fine sediment provides many binding sites for phosphorus. The binding sites can become saturated with phosphorus, however, increasing the potential for the phosphorus to be released to stream water. Five of the 32 sampled sites were potentially saturated with phosphorus. Sites that contained more agricultural land in their drainage areas were at higher risk of having sediment that was saturated or near-saturation; however, the sites that had more agricultural land in their drainage areas also had higher nitrification rates. Results from this study indicate that stream rehabilitation projects that promote sediment deposition and accumulation of organic matter in the stream channel can increase nitrogen removal and phosphorus retention.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255012","usgsCitation":"Kreiling, R.M., Bartsch, L.A., Gierke, K.J., Perner, P.M., Fitzpatrick, F.A., and Olds, H.T., 2025, Sediment nutrient dynamics in selected Milwaukee metropolitan area streams, Wisconsin, 2022: U.S. Geological Survey Scientific Investigations Report 2025–5012, 34 p., https://doi.org/10.3133/sir20255012.","productDescription":"Report: vi, 34 p.; Data Release; Dataset","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-168307","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":484256,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255012/full"},{"id":484255,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5012/images/"},{"id":484253,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5012/sir20255012.pdf","text":"Report","size":"24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5012"},{"id":484258,"rank":7,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":484257,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14KFDFC","text":"USGS data release","linkHelpText":"Milwaukee Metropolitan Sewerage District nutrient connections project—In-stream nutrient cycling, 2022 data"},{"id":484254,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5012/sir20255012.XML"},{"id":484252,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5012/coverthb.jpg"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -87.86648934255896,\n              43.18238733374105\n            ],\n            [\n              -88.05617136083607,\n              43.18238733374105\n            ],\n            [\n              -88.05617136083607,\n              42.87118189515698\n            ],\n            [\n              -87.82769074791146,\n              42.88302863937423\n            ],\n            [\n              -87.86648934255896,\n              43.18238733374105\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/umesc\" data-mce-href=\"https://www.usgs.gov/centers/umesc\">Upper Midwest Environmental Sciences Center</a> <br>U.S. Geological Survey<br>2630 Fanta Reed Road<br>La Crosse, Wisconsin 54603</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Purpose and Scope</li><li>Description of Study Area and Sites</li><li>Methods</li><li>Nitrogen and Phosphorus Bioavailability in Streambed Sediment</li><li>Nitrification and Denitrification Hot Spots</li><li>Phosphorus Retention Potential in Streambed Sediment</li><li>Sediment Nutrient Dynamics at Rehabilitated Stream Sites</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Assessment of Sediment Nutrient Dynamics at each Site</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-04-07","noUsgsAuthors":false,"publicationDate":"2025-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156 rkreiling@usgs.gov","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":4234,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","email":"rkreiling@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":932786,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":932787,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gierke, Kenna J. 0000-0002-8358-7825","orcid":"https://orcid.org/0000-0002-8358-7825","contributorId":342009,"corporation":false,"usgs":false,"family":"Gierke","given":"Kenna J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":false,"id":932788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perner, Patrik Mathis 0000-0002-6142-518X","orcid":"https://orcid.org/0000-0002-6142-518X","contributorId":261675,"corporation":false,"usgs":true,"family":"Perner","given":"Patrik","email":"","middleInitial":"Mathis","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":932789,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzpatrick, Faith A. 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":208910,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932790,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Olds, Hayley T. 0000-0002-6701-6459","orcid":"https://orcid.org/0000-0002-6701-6459","contributorId":222584,"corporation":false,"usgs":true,"family":"Olds","given":"Hayley T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932791,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70265686,"text":"70265686 - 2025 - A nationwide evaluation of crowd-sourced ambient temperature data","interactions":[],"lastModifiedDate":"2025-04-14T16:38:37.174103","indexId":"70265686","displayToPublicDate":"2025-04-07T09:33:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1708,"text":"Frontiers of Environmental Science and Engineering in China","active":true,"publicationSubtype":{"id":10}},"title":"A nationwide evaluation of crowd-sourced ambient temperature data","docAbstract":"Growing concerns about heat in urban areas paired with the sparsity of weather stations have resulted in individuals drawing on data from citizen science sensor networks to fill in data gaps. The PurpleAir are the most widely-used low-cost air quality sensors in the contiguous United States with 14,777 deployed between 1 Jan 2017 and 20 July 2021. Although the air quality data from PurpleAir sensors have been widely studied, less attention has been paid to reported temperature. We compare temperature metrics reported by PurpleAir sensors with a gridded temperature product, the North American Land Data Assimilation System (NLDAS)-2, which although not a gold-standard measure of temperature, is widely used in epidemiologic research. We evaluate the lag between indoor and outdoor PurpleAir temperatures. We report associations of the difference between outdoor PurpleAir temperatures and NLDAS-2 temperatures, an indicator of degradation, and the duration of sensor operation. Finally, based on the temperature range recorded by the outdoor PurpleAir sensors vis.a.vis NLDAS-2 temperatures, we provide a list of 271 (2.5%) sensors potentially misclassified as outdoor and likely located indoors. We observed that outdoor PurpleAir sensors agreed well with NLDAS-2 (R2 > 0.82). This association broke down under warm conditions (daily average NLDAS ≥ 21.1oC). Landcover and climate zone were significant modifiers of the association between PurpleAir and NLDAS-2 temperature metrics with the poorest PurpleAir- NLDAS-2 agreement in urban areas. Indoor PurpleAir temperatures lagged hourly NLDAS temperatures by two hours across almost all climate zones. The mean difference in hourly PurpleAir and NLDAS-2 temperatures increased by 0.57oC for every operational year, suggesting that careful attention must be paid to degradation. Overall, we find for use in epidemiological studies, that the PurpleAir sensor data is a reliable metric of daytime mean air temperature, but researchers should be aware of its limitations when examining extreme heat, or when aggregating sensor data across multiple years.","language":"English","publisher":"Frontiers Media","doi":"10.3389/fenvs.2025.1527855","usgsCitation":"deSouza, P., Ibsen, P.C., Westervelt, D., Kahn, R., Zaitchik, B., and Kinney, P., 2025, A nationwide evaluation of crowd-sourced ambient temperature data: Frontiers of Environmental Science and Engineering in China, v. 13, 1527855, 13 p., https://doi.org/10.3389/fenvs.2025.1527855.","productDescription":"1527855, 13 p.","ipdsId":"IP-171526","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":490097,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fenvs.2025.1527855","text":"Publisher Index 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States\"}}]}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-04-08","publicationStatus":"PW","contributors":{"authors":[{"text":"deSouza, Priyanka","contributorId":353306,"corporation":false,"usgs":false,"family":"deSouza","given":"Priyanka","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":933260,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ibsen, Peter Christian 0000-0002-3436-9100","orcid":"https://orcid.org/0000-0002-3436-9100","contributorId":260735,"corporation":false,"usgs":true,"family":"Ibsen","given":"Peter","email":"","middleInitial":"Christian","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":933261,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westervelt, Daniel M.","contributorId":353308,"corporation":false,"usgs":false,"family":"Westervelt","given":"Daniel M.","affiliations":[{"id":7171,"text":"Columbia University","active":true,"usgs":false}],"preferred":false,"id":933262,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kahn, Ralph","contributorId":353311,"corporation":false,"usgs":false,"family":"Kahn","given":"Ralph","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":933263,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zaitchik, Benjamin 0000-0002-0698-0658","orcid":"https://orcid.org/0000-0002-0698-0658","contributorId":333708,"corporation":false,"usgs":false,"family":"Zaitchik","given":"Benjamin","email":"","affiliations":[{"id":36717,"text":"Johns Hopkins University","active":true,"usgs":false}],"preferred":false,"id":933264,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kinney, Patrick","contributorId":353314,"corporation":false,"usgs":false,"family":"Kinney","given":"Patrick","affiliations":[{"id":13570,"text":"Boston University","active":true,"usgs":false}],"preferred":false,"id":933265,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70265786,"text":"70265786 - 2025 - A synthesis of freshwater forested wetland soil organic carbon storage","interactions":[],"lastModifiedDate":"2025-04-16T14:31:18.998298","indexId":"70265786","displayToPublicDate":"2025-04-07T09:27:41","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5860,"text":"Frontiers in Forests and Global Change","active":true,"publicationSubtype":{"id":10}},"title":"A synthesis of freshwater forested wetland soil organic carbon storage","docAbstract":"<p><span>Freshwater forested wetlands account for ~76% (918 M ha) of the total global wetland extent. However, freshwater forested wetlands are difficult to distinguish from upland forest due to canopy coverage, the abundance of wetland-nonwetland mosaics, seasonal hydropatterns, and fewer readily observable connections to large surface water bodies relative to marshes and other emergent habitats. Therefore, freshwater forested wetland ecosystems are often misclassified as upland forests in carbon accounting models, underestimating soil organic carbon (SOC) storage. This study highlights freshwater forested wetland SOC accounting challenges and presents SOC densities/stocks from a global literature synthesis across different freshwater forested wetland types. We reviewed 374 forested wetland articles, compiling and calculating carbon densities by depth from 90 freshwater forested wetland studies to construct a database of 334 study sites including nine countries. The median (± median absolute deviation) SOC stock was 91.2 ± 46.4 Mg C ha</span><sup>−1</sup><span>&nbsp;and 235.3 ± 125.6 Mg C ha</span><sup>−1</sup><span>&nbsp;in the top 30 cm and 100 cm of soil, respectively. The tidal freshwater forested wetland had highest SOC stock (341.6 ± 98.4 Mg C ha</span><sup>−1</sup><span>) in the upper 100 cm soil profile followed by rainforest (285.6 ± 75.8 Mg C ha</span><sup>−1</sup><span>), non-tidal swamps (229.3 ± 120.4 Mg C ha</span><sup>−1</sup><span>), and floodplain forested wetlands (176.6 ± 84 Mg C ha</span><sup>−1</sup><span>). Within the conterminous United States forest type groups, the&nbsp;</span><i>Tsuga</i><span>/</span><i>Picea</i><span>&nbsp;group had the highest median SOC stocks (353.6 ± 82.9 Mg ha</span><sup>−1</sup><span>) in the top 100 cm of soil followed by&nbsp;</span><i>Quercus/Pinus</i><span>&nbsp;(246.6 ± 82.3 Mg ha</span><sup>−1</sup><span>) and&nbsp;</span><i>Quercus/Liquidambar/Taxodium</i><span>&nbsp;(207.9 ± 87.7 Mg ha</span><sup>−1</sup><span>) groups, likely driven by variability in litter degradability, wetland hydroperiod, geomorphic positions, and regional climatic factors. This literature synthesis highlights SOC accounting in freshwater forested wetland carbon pools when estimating carbon stocks and fluxes. Results can be used to improve carbon modeling outcomes, as well as inform regional, national, and global management of wetland carbon resources.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/ffgc.2025.1528440","usgsCitation":"Sapkota, Y., Berkowitz, J., Stagg, C., and Busby, R., 2025, A synthesis of freshwater forested wetland soil organic carbon storage: Frontiers in Forests and Global Change, v. 8, 1528440, 15 p., https://doi.org/10.3389/ffgc.2025.1528440.","productDescription":"1528440, 15 p.","ipdsId":"IP-176238","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488264,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffgc.2025.1528440","text":"Publisher Index Page"},{"id":484639,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2025-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Sapkota, Yadav","contributorId":353419,"corporation":false,"usgs":false,"family":"Sapkota","given":"Yadav","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":933528,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berkowitz, Jacob F.","contributorId":353422,"corporation":false,"usgs":false,"family":"Berkowitz","given":"Jacob F.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":933529,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stagg, Camille 0000-0002-1125-7253","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":214880,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":933530,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Busby, Ryan R.","contributorId":353425,"corporation":false,"usgs":false,"family":"Busby","given":"Ryan R.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":933531,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273025,"text":"70273025 - 2025 - Environmental conditions influencing the abundance of the salmonid ectoparasite Salmincola californiensis across upper Willamette River Reservoirs, Oregon","interactions":[],"lastModifiedDate":"2025-12-15T14:46:55.827369","indexId":"70273025","displayToPublicDate":"2025-04-07T08:38:09","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":860,"text":"Aquatic Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Environmental conditions influencing the abundance of the salmonid ectoparasite <i>Salmincola californiensis</i> across upper Willamette River Reservoirs, Oregon","title":"Environmental conditions influencing the abundance of the salmonid ectoparasite Salmincola californiensis across upper Willamette River Reservoirs, Oregon","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The freshwater copepod&nbsp;</span><i>Salmincola californiensis</i><span>&nbsp;is an ectoparasite of Pacific salmon and trout (</span><i>Oncorhynchus</i><span>&nbsp;spp.). High levels of infection by this parasite can significantly damage gills and result in blood loss, affecting the fitness and survival of hosts, and it may hinder recovery efforts of threatened and endangered salmonids. Juvenile salmonids that rear in reservoirs have been reported to experience higher rates of infection than their stream-dwelling counterparts. To date, the relationship between reservoir environmental conditions and infection rates remains poorly understood. Here, we evaluated sampling methods designed to capture&nbsp;</span><i>S. californiensis</i><span>&nbsp;copepodids, the free-swimming infectious life stage of this parasitic copepod, and develop predictive models of parasite abundance in reservoirs</span><i>.</i><span>&nbsp;We used light traps to collect 675 zooplankton samples from various sites and depths in Cougar, Lookout Point, and Fall Creek reservoirs, Oregon, USA during five months in 2020. We tested several predictive models of parasite abundance using environmental covariates obtained concurrently during plankton surveys (</span><i>e.g.</i><span>, temperature, ambient light and water clarity, reservoir plankton profiles, and water flow). Our models showed a strong influence of water temperature on abundance of copepodids, with maximum initial abundance occurring at the mean water temperature 15.2&nbsp;°C. At that temperature, August abundance was estimated to be 58.6 copepodids per site in Cougar Reservoir, 43.8 copepodids per site in Fall Creek Reservoir, and 3.5 copepodids per site in Lookout Point Reservoir. Water temperature and reservoir outflow both affected population growth of copepodids: increased water temperature was associated with an increase in population growth rate while an increased reservoir outflow was associated with a decrease in population growth rate. The efficacy of our sampling method was influenced by percent of moon fullness, whether the sample site was above or below the thermocline, water temperature, and number of juvenile sculpin fishes (</span><i>Cottus</i><span>&nbsp;spp.) captured in the trap. The mean probability of detecting a single copepodid if one was present was 0.042, but detection probability increased to 0.29 under ideal trap set conditions of warmer water, location above the thermocline, and a full moon. Biologists and managers could use these methods to assess the presence and abundance of&nbsp;</span><i>S. californiensis</i><span>&nbsp;in other locations, or to inform reservoir operations to reduce potential salmonid infections.</span></span></p>","language":"English","publisher":"Peer J","doi":"10.7717/peerj.19228","usgsCitation":"Antonelli, K., Murphy, C.A., Pollock, A.M., and Arismendi, I., 2025, Environmental conditions influencing the abundance of the salmonid ectoparasite Salmincola californiensis across upper Willamette River Reservoirs, Oregon: Aquatic Biology, v. 13, e19228, 24 p., https://doi.org/10.7717/peerj.19228.","productDescription":"e19228, 24 p.","ipdsId":"IP-172281","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497701,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.19228","text":"Publisher Index Page"},{"id":497471,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"upper Willamette River reservoirs","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.32050813525171,\n              44.19989455893608\n            ],\n            [\n              -123.32050813525171,\n              44.045490802329965\n            ],\n            [\n              -122.8991546943831,\n              44.045490802329965\n            ],\n            [\n              -122.8991546943831,\n              44.19989455893608\n            ],\n            [\n              -123.32050813525171,\n              44.19989455893608\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-04-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Antonelli, Kelsi","contributorId":341106,"corporation":false,"usgs":false,"family":"Antonelli","given":"Kelsi","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":952112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pollock, Amanda M.M.","contributorId":363932,"corporation":false,"usgs":false,"family":"Pollock","given":"Amanda","middleInitial":"M.M.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":952114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Arismendi, Ivan","contributorId":341108,"corporation":false,"usgs":false,"family":"Arismendi","given":"Ivan","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":952115,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70265494,"text":"70265494 - 2025 - Equilibrium line altitudes, accumulation areas, and the vulnerability of glaciers in Alaska","interactions":[],"lastModifiedDate":"2025-04-08T15:11:34.579076","indexId":"70265494","displayToPublicDate":"2025-04-07T08:01:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Equilibrium line altitudes, accumulation areas, and the vulnerability of glaciers in Alaska","docAbstract":"<p><span>The accumulation area ratio (AAR) of a glacier reflects its current state of equilibrium, or disequilibrium, with climate and its vulnerability to future climate change. Here, we present an inventory of glacier-specific annual accumulation areas and equilibrium line altitudes (ELAs) for over 3000 glaciers in Alaska and northwest Canada (88% of the regional glacier area) from 2018 to 2022 derived from Sentinel-2 imagery. We find that the 5 year average AAR of the entire study area is 0.41, with an inter-annual range of 0.25–0.49. More than 1000 glaciers, representing 8% of the investigated glacier area, were found to have effectively no accumulation area. Summer temperature and winter precipitation from ERA5-Land explained nearly 50% of the inter-annual ELA variability across the entire study region (<i>R</i><sup>2</sup> = 0.47</span><span>). An analysis of future climate scenarios (SSP2-4.5) projects that ELAs will rise by ∼170 m on average by the end of the 21st century. Such changes would result in a loss of 25% of the modern accumulation area, leaving a total of 1900 glaciers (22% of the investigated area) with no accumulation area. These results highlight the current state of glacier disequilibrium with modern climate, as well as glacier vulnerability to projected future warming.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/jog.2024.65","usgsCitation":"Zeller, L., McGrath, D.J., Sass, L., Florentine, C., and Downs, J., 2025, Equilibrium line altitudes, accumulation areas, and the vulnerability of glaciers in Alaska: Journal of Glaciology, v. 71, e28, 13 p., https://doi.org/10.1017/jog.2024.65.","productDescription":"e28, 13 p.","ipdsId":"IP-163494","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"links":[{"id":488628,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/jog.2024.65","text":"Publisher Index Page"},{"id":484323,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70265447,"text":"70265447 - 2025 - Estimating indicators of cyanobacterial harmful algal blooms in New York State","interactions":[],"lastModifiedDate":"2025-04-07T14:54:27.747567","indexId":"70265447","displayToPublicDate":"2025-04-07T07:50:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Estimating indicators of cyanobacterial harmful algal blooms in New York State","docAbstract":"<p><span>Cyanobacteria harmful algal blooms (cyanoHABs) are a global concern for aquatic ecosystem and human health. Limited funding for monitoring programs and inconsistent determination of cyanoHAB occurrence present challenges for identifying commonly effective variables for characterizing cyanoHABs and the development of generalized models. We compiled a combination of water quality measurements, lake morphology, climatology, remote sensing data, and observations of cyanoHAB occurrence across New York State and used this dataset to develop two sets of predictive models. The first model predicted chlorophyll&nbsp;</span><i>a</i><span>, a common indicator of algal biomass, and assessed the importance of variables for modeled predictions. The most important variables were then used in a second set of models to classify cyanoHAB occurrence. The irradiance attenuation coefficient (</span><i>K<sub>d</sub></i><span>), which was estimated from Secchi depth measurements, and total phosphorus were the two most important variables for predicting chlorophyll&nbsp;</span><i>a</i><span>. The second model examined several variables for their ability to classify cyanoHAB occurrence. Predicted cyanoHAB occurrence based on thresholds of chlorophyll&nbsp;</span><i>a</i><span>,&nbsp;</span><i>K<sub>d</sub></i><span>, or total nitrogen all had moderate agreement and were able to correctly classify approximately 70% of observed cyanoHABs. Our analysis indicated that multiple data types were important for predicting chlorophyll&nbsp;</span><i>a</i><span>&nbsp;statewide and that simple widely available water quality parameters could classify cyanoHABs occurrence with reasonable accuracy. Identifying variables that can be monitored with increased frequency and decreased latency to detect cyanoHAB occurrence will better inform water managers and provide valuable additional data for further refining predictive models of the likelihood of cyanoHABs occurrence.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2025.113403","usgsCitation":"Savoy, P., Gorney, R.M., and Graham, J.L., 2025, Estimating indicators of cyanobacterial harmful algal blooms in New York State: Ecological Indicators, v. 173, 113403, 11 p., https://doi.org/10.1016/j.ecolind.2025.113403.","productDescription":"113403, 11 p.","ipdsId":"IP-171481","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":488558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2025.113403","text":"Publisher Index 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York\",\"nation\":\"USA  \"}}]}","volume":"173","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Savoy, Philip 0000-0002-6075-837X","orcid":"https://orcid.org/0000-0002-6075-837X","contributorId":300288,"corporation":false,"usgs":true,"family":"Savoy","given":"Philip","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":932740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorney, Rebecca M. 0000-0003-4406-261X","orcid":"https://orcid.org/0000-0003-4406-261X","contributorId":317259,"corporation":false,"usgs":true,"family":"Gorney","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932742,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265460,"text":"70265460 - 2025 - Fast or slow: An evaluation of Ti-in-quartz diffusion coefficients through comparisons of quartz and plagioclase diffusion times","interactions":[],"lastModifiedDate":"2025-04-07T14:18:54.313669","indexId":"70265460","displayToPublicDate":"2025-04-06T09:14:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7593,"text":"Volcanica","active":true,"publicationSubtype":{"id":10}},"title":"Fast or slow: An evaluation of Ti-in-quartz diffusion coefficients through comparisons of quartz and plagioclase diffusion times","docAbstract":"<p><span>Diffusion geochronometry using Ti-in-quartz has become a valuable method in understanding the evolution of silicic magmas. However, four different options for Ti diffusivity (</span><i>D</i><sub>Ti</sub><span>) currently exist, spanning three orders of magnitude, resulting in substantially different estimated times and interpretations. We present Ti-in-quartz diffusion times for the Cerro Galán Ignimbrite using the Cherniak et al. [2007] (</span>10.1016/j.chemgeo.2006.09.001<span>), Audétat et al. [2021] (</span>10.1130/g48785.1<span>), Audétat et al. [2023] (</span>10.1038/s41467-023-39912-5<span>), and Jollands et al. [2020] (</span>10.1130/g47238.1<span>)&nbsp;</span><i>D</i><sub>Ti</sub><span>&nbsp;value and (1) compare these against plagioclase diffusion times derived from the same samples, (2) consider evidence for Ti diffusion in quartz under relevant magmatic timescales, and (3) compute derived quartz growth rates for crystals from the Cerro Galán Ignimbrite. On all accounts, we find that the Cherniak et al. [2007] diffusion coefficient yields diffusion times that agree much better with independent evidence than those derived using slower&nbsp;</span><i>D</i><sub>Ti</sub><span>&nbsp;values [Jollands et al. 2020; Audétat et al. 2021; 2023].</span></p>","language":"English","publisher":"Presses universitaires de Strasbourg","doi":"10.30909/vol/rjfq2443","usgsCitation":"Wang, S., Gualda, G., Lubbers, J.E., and Kent, A., 2025, Fast or slow: An evaluation of Ti-in-quartz diffusion coefficients through comparisons of quartz and plagioclase diffusion times: Volcanica, v. 8, no. 1, p. 189-202, https://doi.org/10.30909/vol/rjfq2443.","productDescription":"14 p.","startPage":"189","endPage":"202","ipdsId":"IP-166925","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":488906,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.30909/vol/rjfq2443","text":"Publisher Index Page"},{"id":484239,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Sophia","contributorId":353043,"corporation":false,"usgs":false,"family":"Wang","given":"Sophia","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":932766,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gualda, Guilherme","contributorId":353044,"corporation":false,"usgs":false,"family":"Gualda","given":"Guilherme","affiliations":[{"id":36656,"text":"Vanderbilt University","active":true,"usgs":false}],"preferred":false,"id":932767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":932768,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kent, Adam","contributorId":353047,"corporation":false,"usgs":false,"family":"Kent","given":"Adam","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":932769,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70265471,"text":"70265471 - 2025 - Neural network-based temporal ensembling of water depth estimates derived from SuperDove Images","interactions":[],"lastModifiedDate":"2025-04-07T15:08:27.841513","indexId":"70265471","displayToPublicDate":"2025-04-06T08:01:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Neural network-based temporal ensembling of water depth estimates derived from SuperDove Images","docAbstract":"CubeSats provide a wealth of high-frequency observations at a meter-scale spatial resolution. However, most current methods of inferring water depth from satellite data consider only a single image. This approach is sensitive to the radiometric quality of the data acquired at that particular instant in time, which could be degraded by various confounding factors, such as sun glint or atmospheric effects. Moreover, using single images in isolation fails to exploit recent improvements in the frequency of satellite image acquisition. This study aims to leverage the dense image time series from the SuperDove constellation via an ensembling framework that helps to improve empirical (regression-based) bathymetry retrieval. Unlike previous studies that only ensembled the original spectral data, we introduce a neural network-based method that instead ensembles the water depths derived from multi-temporal imagery, provided the data are acquired under steady flow conditions. We refer to this new approach as NN-depth ensembling. First, every image is treated individually to derive multitemporal depth estimates. Then, we use another NN regressor to ensemble the temporal water depths. This step serves to automatically weight the contribution of the bathymetric estimates from each time instance to the final bathymetry product. Unlike methods that ensemble spectral data, NN-depth ensembling mitigates against propagation of uncertainties in spectral data (e.g., noise due to sun glint) to the final bathymetric product. The proposed NN-depth ensembling is applied to temporal SuperDove imagery of reaches from the American, Potomac, and Colorado rivers with depths of up to 10 m and evaluated against in situ measurements. The proposed method provided more accurate and robust bathymetry retrieval than single-image analyses and other ensembling approaches.","language":"English","publisher":"MDPI","doi":"10.3390/rs17071309","usgsCitation":"Niroumand-Jadidi, M., Legleiter, C.J., and Bovolo, F., 2025, Neural network-based temporal ensembling of water depth estimates derived from SuperDove Images: Remote Sensing, v. 17, no. 7, 1309, 19 p., https://doi.org/10.3390/rs17071309.","productDescription":"1309, 19 p.","ipdsId":"IP-149931","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":488569,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs17071309","text":"Publisher Index Page"},{"id":484247,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-04-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Niroumand-Jadidi, Milad 0000-0002-9432-3032","orcid":"https://orcid.org/0000-0002-9432-3032","contributorId":292943,"corporation":false,"usgs":false,"family":"Niroumand-Jadidi","given":"Milad","email":"","affiliations":[{"id":63082,"text":"Digital Society Center, Fondazione Bruno Kessler, Trento, Italy","active":true,"usgs":false}],"preferred":false,"id":932783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":932784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bovolo, Francesca 0000-0003-3104-7656","orcid":"https://orcid.org/0000-0003-3104-7656","contributorId":292944,"corporation":false,"usgs":false,"family":"Bovolo","given":"Francesca","email":"","affiliations":[{"id":63082,"text":"Digital Society Center, Fondazione Bruno Kessler, Trento, Italy","active":true,"usgs":false}],"preferred":false,"id":932785,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272682,"text":"70272682 - 2025 - Uncertainty quantification of geophysical and hydrologic parameters estimated from borehole nuclear magnetic resonance data","interactions":[],"lastModifiedDate":"2025-12-04T16:46:03.167798","indexId":"70272682","displayToPublicDate":"2025-04-05T10:43:22","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18010,"text":"JGR Machine Learning and Computation","active":true,"publicationSubtype":{"id":10}},"title":"Uncertainty quantification of geophysical and hydrologic parameters estimated from borehole nuclear magnetic resonance data","docAbstract":"<p><span>Borehole nuclear magnetic resonance (bNMR) data are typically used to infer in situ hydrologic properties. Partial water content as a function of pore size is estimated by fitting the measured NMR response to a multi-exponential&nbsp;</span><i>T</i><sub>2</sub><span>&nbsp;distribution, and the sum of estimated&nbsp;</span><i>T</i><sub>2</sub><span>&nbsp;amplitudes equals the total volumetric water content. From these estimated parameters, several empirical relationships are commonly used to infer hydraulic conductivity from the NMR-estimated water content and&nbsp;</span><i>T</i><sub>2</sub><span>&nbsp;distribution. Often, parameters are estimated through deterministic inversion methods that produce a single best-fit estimate, but do not reflect uncertainties in model parameters. Here, a Bayesian Markov chain Monte Carlo (McMC) approach for analyzing bNMR data is developed that allows for comprehensive uncertainty quantification of NMR parameters and derived hydrologic properties. The underlying model that describes the&nbsp;</span><i>T</i><sub>2</sub><span>&nbsp;distribution is defined by a set of spline interpolation points. The number of interpolation points is allowed to vary in a trans-dimensional algorithm that naturally favors simple models with fewer interpolation points, allowing the data to inform the necessary level of model complexity. Additionally, data error is estimated as an unknown parameter. Analysis of the ensemble of models output from the McMC algorithm provides useful details on the range of plausible&nbsp;</span><i>T</i><sub>2</sub><span>&nbsp;distributions that can fit a measured bNMR decay curve, as well as uncertainty estimates of total water content. The ensemble of NMR parameters can also be propagated through commonly used relationships to produce uncertainty estimates on derived parameters such as bound/capillary/mobile water content or hydraulic conductivity.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JH000461","usgsCitation":"Minsley, B.J., Phillips, S.N., and James, S.R., 2025, Uncertainty quantification of geophysical and hydrologic parameters estimated from borehole nuclear magnetic resonance data: JGR Machine Learning and Computation, v. 2, no. 2, e2024JH000461, 15 p., https://doi.org/10.1029/2024JH000461.","productDescription":"e2024JH000461, 15 p.","ipdsId":"IP-171454","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":497115,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jh000461","text":"Publisher Index Page"},{"id":497066,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Minsley, Burke J. 0000-0003-1689-1306","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":248573,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"","middleInitial":"J.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":951326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Stephanie N. 0000-0002-2022-7726","orcid":"https://orcid.org/0000-0002-2022-7726","contributorId":214857,"corporation":false,"usgs":true,"family":"Phillips","given":"Stephanie","email":"","middleInitial":"N.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":951327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"James, Stephanie R. 0000-0001-5715-253X","orcid":"https://orcid.org/0000-0001-5715-253X","contributorId":260620,"corporation":false,"usgs":true,"family":"James","given":"Stephanie","email":"","middleInitial":"R.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":951328,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265767,"text":"70265767 - 2025 - The North American greenhouse gas budget: Emissions, removals, and integration for CO2, CH4, and N2O (2010–2019): Results From the Second REgional Carbon Cycle Assessment and Processes Study (RECCAP2)","interactions":[],"lastModifiedDate":"2025-04-15T14:57:11.227014","indexId":"70265767","displayToPublicDate":"2025-04-05T09:46:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The North American greenhouse gas budget: Emissions, removals, and integration for CO<sub>2</sub>, CH<sub>4</sub>, and N<sub>2</sub>O (2010–2019): Results From the Second REgional Carbon Cycle Assessment and Processes Study (RECCAP2)","title":"The North American greenhouse gas budget: Emissions, removals, and integration for CO2, CH4, and N2O (2010–2019): Results From the Second REgional Carbon Cycle Assessment and Processes Study (RECCAP2)","docAbstract":"<p><span>Accurate accounting of greenhouse-gas (GHG) emissions and removals is central to tracking progress toward climate mitigation and for monitoring potential climate-change feedbacks. GHG budgeting and reporting can follow either the Intergovernmental Panel on Climate Change methodologies for National Greenhouse Gas Inventory (NGHGI) reporting or use atmospheric-based “top-down” (TD) inversions or process-based “bottom-up” (BU) approaches. To help understand and reconcile these approaches, the Second REgional Carbon Cycle Assessment and Processes study (RECCAP2) was established to quantify GHG emissions and removals for carbon dioxide (CO</span><sub>2</sub><span>), methane (CH</span><sub>4</sub><span>) and nitrous oxide (N</span><sub>2</sub><span>O), for ten-land and five-ocean regions for 2010–2019. Here, we present the results for the North American land region (Canada, the United States, Mexico, Central America and the Caribbean). For 2010–2019, the NGHGI reported total net-GHG emissions of 7,270 TgCO</span><sub>2</sub><span>-eq yr</span><sup>−1</sup><span>&nbsp;compared to TD estimates of 6,132&nbsp;±&nbsp;1,846 TgCO</span><sub>2</sub><span>-eq yr</span><sup>−1</sup><span>&nbsp;and BU estimates of 9,060&nbsp;±&nbsp;898 TgCO</span><sub>2</sub><span>-eq yr</span><sup>−1</sup><span>. Reconciling differences between the NGHGI, TD and BU approaches depended on (a) accounting for lateral fluxes of CO</span><sub>2</sub><span>&nbsp;along the land-ocean-aquatic continuum (LOAC) and trade, (b) correcting land-use CO</span><sub>2</sub><span>&nbsp;emissions for the loss-of-additional-sink capacity (LASC), (c) avoiding double counting of inland water CH</span><sub>4</sub><span>&nbsp;emissions, and (d) adjusting area estimates to match the NGHGI definition of the managed-land proxy. Uncertainties remain from inland-water CO</span><sub>2</sub><span>&nbsp;evasion, the conversion of nitrogen fertilizers to N</span><sub>2</sub><span>O, and from less-frequent NGHGI reporting from non-Annex-1 countries. The RECCAP2 framework plays a key role in reconciling independent GHG-reporting methodologies to support policy commitments while providing insights into biogeochemical processes and responses to climate change.</span></p>","language":"English","publisher":"Wiley","doi":"10.1029/2024GB008310","usgsCitation":"Poulter, B., Murray-Tortarolo, G., Hayes, D.J., Ciais, P., Andrew, R., Bastos, A., Byrne, B., Butman, D., Canadell, J., Chatterjee, A., Domke, G., Feldman, A.F., Foster, K., Hunka, N., Jackson, R., kurz, W.A., Lindquist, A., Liu, M., Luijkx, I., Mialon, A., Michalak, A., Miller, J., Obermeier, W., Pan, N., Randerson, J.T., Raymond, P.A., Regnier, P., Resplandy, L., Rocher-Ros, G., Rodriquez-Fernandez, N., Rosentreter, J.A., Salazar-Neira, J., Tank, S.E., Tan, H., Vargas, R., Villalobos, Y., Wang, J.A., Wei, X., Wickland, K., Williams , C., Windham-Myers, L., Woodall, C.W., Ying, Q., and Zhang, Z., 2025, The North American greenhouse gas budget: Emissions, removals, and integration for CO2, CH4, and N2O (2010–2019): Results From the Second REgional Carbon Cycle Assessment and Processes Study (RECCAP2): Global Biogeochemical Cycles, v. 39, no. 4, e2024GB008310, 31 p., https://doi.org/10.1029/2024GB008310.","productDescription":"e2024GB008310, 31 p.","ipdsId":"IP-169508","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":488247,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gb008310","text":"Publisher Index Page"},{"id":484577,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Poulter, Benjamin","contributorId":330088,"corporation":false,"usgs":false,"family":"Poulter","given":"Benjamin","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":933436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murray-Tortarolo, Guillermo","contributorId":296446,"corporation":false,"usgs":false,"family":"Murray-Tortarolo","given":"Guillermo","email":"","affiliations":[{"id":64038,"text":"Instituto de Investigaciones en Ecosistemas y Sustentabilidad. 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,{"id":70265808,"text":"70265808 - 2025 - Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","interactions":[{"subject":{"id":70265808,"text":"70265808 - 2025 - Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","indexId":"70265808","publicationYear":"2025","noYear":false,"title":"Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California"},"predicate":"SUPERSEDED_BY","object":{"id":70275668,"text":"sir20265005 - 2026 - Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","indexId":"sir20265005","publicationYear":"2026","noYear":false,"title":"Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California"},"id":1}],"supersededBy":{"id":70275668,"text":"sir20265005 - 2026 - Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","indexId":"sir20265005","publicationYear":"2026","noYear":false,"title":"Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California"},"lastModifiedDate":"2026-05-12T17:47:05.295379","indexId":"70265808","displayToPublicDate":"2025-04-05T09:01:07","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California","docAbstract":"<p><span>The area surrounding the Salinas Valley groundwater basin in Monterey and San Luis Obispo Counties of California is a highly productive agricultural area, contributes significantly to the local economy, and provides a substantial portion of vegetables and other agricultural commodities to the Nation. This region of California provides about half of the Nation’s lettuce, celery, broccoli, and spinach each year. Thus, this agricultural area provides significant volumes of agricultural products not just for California but the entire United States. Changes in population and increased agricultural development, which includes a shift toward more water-intensive crops, and climate variability, have put increasing demand on both surface water and groundwater resources in the valley. This has resulted in water management challenges in the Salinas Valley that are predominantly related to distribution of water supply throughout the basin. Where and when the water is present in the surface and subsurface does not coincide with where and when the water is needed. To deal with the distribution issue, historically water has been used conjunctively in the valley. Conjunctive use is a water management strategy that coordinates surface water and groundwater use to maximize water availability. Groundwater is used throughout the Salinas Valley to meet water demands when surface water supplies are insufficient. Availability of surface water is constrained by climate. Precipitation and streamflow vary seasonally and year to year. Although there are two reservoirs in the Salinas Valley to capture and store water during wet periods, the only conveyance of reservoir water to coastal agricultural areas is the Salinas River. Increasing demand on groundwater and surface water resources throughout the Salinas Valley has resulted in undesirable effects of unsustainable water use, such as surface water depletion, groundwater level declines, storage depletion in the principal aquifers, and seawater intrusion. To address these escalating issues, local communities, water management agencies, and groundwater sustainability agencies are evaluating how to sustainably manage both their surface water and groundwater resources. To meet water demands and reduce undesirable effects of unsustainable water use, continued conjunctive management of surface water and groundwater would ideally incorporate strategies to deal with increases in demand and a variable climate. To evaluate the challenging water management issues in the Salinas Valley, the U.S. Geological Survey, Monterey County Water Resource Agency, and the Salinas Valley Basin Groundwater Sustainability Agency developed a comprehensive suite of models that represent the Salinas Valley Hydrogeologic system called the Salinas Valley System Model. The Salinas Valley Geologic Framework was developed to characterize the subsurface using various topographic and geologic data sources, including information on hydrogeologic units, their surfaces and extents, geologic structures, lithology, and elevations from borehole data and cross sections, as well as details on faults and existing models. The Salinas Valley Watershed Model simulates the entire Salinas River watershed. Monthly surface water inflows into the integrated hydrologic model domain were simulated using the Salinas Valley Watershed Model. The historical model uses historical climate data, water and land use data, and reservoir releases to simulate agricultural operations, including landscape water demands, diversions, and reclaimed wastewater. The operational model adds an embedded reservoir operations framework to the simulation of the historical model that allows specified operational rules to simulate reservoir releases and changes in reservoir storage. The operational model assumes current reservoir operations and constant land use, which differs from historical conditions. Thus, the operational model is a hypothetical baseline model that can be used by local water managers to evaluate and quantify potential benefits of water supply projects. Together, the geologic framework, watershed, historical, and operational models form a tool that can be used to simulate irrigated agriculture and associated reservoir operations of the integrated hydrologic system of the Salinas Valley.</span></p>","language":"English","publisher":"Eartharxiv","doi":"10.31223/X5ZD9N","usgsCitation":"Henson, W.R., Hanson, R., Boyce, S., Hevesi, J., and Jachens, E.R., 2025, Salinas Valley integrated hydrologic and reservoir operations models, Monterey and San Luis Obispo Counties, California: EarthArXiv, https://doi.org/10.31223/X5ZD9N.","productDescription":"312 p.","ipdsId":"IP-172765","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":488263,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.31223/x5zd9n","text":"Publisher Index Page"},{"id":484636,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Henson, Wesley R. 0000-0003-4962-5565 whenson@usgs.gov","orcid":"https://orcid.org/0000-0003-4962-5565","contributorId":384,"corporation":false,"usgs":true,"family":"Henson","given":"Wesley","email":"whenson@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanson, Randy 0000-0002-9819-7141","orcid":"https://orcid.org/0000-0002-9819-7141","contributorId":216356,"corporation":false,"usgs":false,"family":"Hanson","given":"Randy","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":933667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boyce, Scott 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hevesi, Joseph 0000-0003-2898-1800 jhevesi@usgs.gov","orcid":"https://orcid.org/0000-0003-2898-1800","contributorId":1507,"corporation":false,"usgs":true,"family":"Hevesi","given":"Joseph","email":"jhevesi@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jachens, Elizabeth R. 0000-0001-5885-8892","orcid":"https://orcid.org/0000-0001-5885-8892","contributorId":294690,"corporation":false,"usgs":true,"family":"Jachens","given":"Elizabeth","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933670,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70265488,"text":"70265488 - 2025 - Linking tidal-creek sediment fluxes to vertical sediment accretion in a restored salt marsh","interactions":[],"lastModifiedDate":"2026-02-10T13:50:34.127265","indexId":"70265488","displayToPublicDate":"2025-04-05T08:46:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Linking tidal-creek sediment fluxes to vertical sediment accretion in a restored salt marsh","docAbstract":"<p>Despite growing interest and investment in salt-marsh restoration, relatively few marshes subjected to restoration efforts have been systematically monitored to assess physical restoration trajectory or success. In south San Francisco Bay, CA, USA, where 83% of wetlands were lost via human manipulation, the largest wetland restoration effort on the U.S. west coast is currently underway, restoring approximately 6,000 ha of former salt-production ponds to mixed habitats. The Whale’s Tail–Cargill Mitigation salt-marsh complex in south San Francisco Bay has a century-long history of drainage, industrial use as salt-production ponds, and subsequent restoration and recovery. Restoration of the 20-ha Cargill Mitigation Marsh was initiated in the late 1990s when the levee surrounding the subsided, former salt-production pond was breached in two locations, enabling conversion back to salt-marsh habitat in the subsequent decades. Here we present time-series measurements of sediment fluxes in the primary tidal creek entering the salt-marsh complex, which are compared to decadal-scale sedimentation patterns determined from repeat elevation surveys and cores collected at the study site. All three methods show net sediment import to the restored marsh. The greatest equivalent sedimentation rates occurred early in the restoration, with generally decreasing rates through time. The long-term average, as determined from cores and expressed as a vertical sedimentation rate, is approximately 1.8 cm yr <sup>-1</sup>. Rates from the elevation data are between 1.4 and 2.6 cm yr<sup>-1</sup>, with higher rates earlier in the restoration. The most recent estimates, computed from time-series instrument deployments, indicate seasonal variability in sediment import. Annualized rates are lower in winter, approximately 0.1 cm yr<sup>-1</sup>, and higher in summer, approximately 1.7 cm yr<sup>-1</sup>. Although our measured long-term equivalent sedimentation rates are considerably greater than the current local relative sea-level rise (SLR) of 0.3 cm yr<sup>-1</sup>, an increase in SLR or decrease in available suspended sediment would threaten the ability of the marsh to keep pace with SLR and avoid drowning in the future.</p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.70053","usgsCitation":"Nowacki, D.J., Lacy, J.R., and La Selle, S., 2025, Linking tidal-creek sediment fluxes to vertical sediment accretion in a restored salt marsh: Earth Surface Processes and Landforms, v. 50, no. 5, e70053, 15 p., https://doi.org/10.1002/esp.70053.","productDescription":"e70053, 15 p.","ipdsId":"IP-163776","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488630,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.70053","text":"Publisher Index Page"},{"id":484336,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"south San Francisco Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.17457846697607,\n              37.64847819573012\n            ],\n            [\n              -122.17457846697607,\n              37.554966892844135\n            ],\n            [\n              -122.09191529974544,\n              37.554966892844135\n            ],\n            [\n              -122.09191529974544,\n              37.64847819573012\n            ],\n            [\n              -122.17457846697607,\n              37.64847819573012\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Nowacki, Daniel J. 0000-0002-7015-3710 dnowacki@usgs.gov","orcid":"https://orcid.org/0000-0002-7015-3710","contributorId":174586,"corporation":false,"usgs":true,"family":"Nowacki","given":"Daniel","email":"dnowacki@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":932818,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lacy, Jessica R. 0000-0002-2797-6172","orcid":"https://orcid.org/0000-0002-2797-6172","contributorId":201703,"corporation":false,"usgs":true,"family":"Lacy","given":"Jessica","email":"","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932819,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Selle, SeanPaul 0000-0002-4500-7885 slaselle@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-7885","contributorId":181565,"corporation":false,"usgs":true,"family":"La Selle","given":"SeanPaul","email":"slaselle@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":932820,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70265929,"text":"70265929 - 2025 - Identical sequence types of Yersinia ruckeri associated with lethal disease in wild-caught invasive Blue Catfish and cultured hybrid catfish (Channel Catfish ♀ × Blue Catfish ♂) from disparate aquatic ecosystems","interactions":[],"lastModifiedDate":"2025-05-12T15:45:47.245272","indexId":"70265929","displayToPublicDate":"2025-04-04T11:59:08","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2177,"text":"Journal of Aquatic Animal Health","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Identical sequence types of <i>Yersinia ruckeri</i> associated with lethal disease in wild-caught invasive Blue Catfish and cultured hybrid catfish (Channel Catfish ♀ × Blue Catfish ♂) from disparate aquatic ecosystems","title":"Identical sequence types of Yersinia ruckeri associated with lethal disease in wild-caught invasive Blue Catfish and cultured hybrid catfish (Channel Catfish ♀ × Blue Catfish ♂) from disparate aquatic ecosystems","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">The Blue Catfish<span>&nbsp;</span><i>Ictalurus furcatus</i><span>&nbsp;</span>is commonly raised in warmwater aquaculture in the United States to produce Channel Catfish<span>&nbsp;</span><i>I. punctatus</i><span>&nbsp;</span>× Blue Catfish hybrids. It is also a prominent aquatic invasive species of concern in the mid-Atlantic region of the United States. Here,<span>&nbsp;</span><i>Yersina ruckeri</i><span>&nbsp;</span>was isolated from moribund Blue Catfish and hybrid catfish from disparate regions of the USA. The goal of the research here was to compare these<span>&nbsp;</span><i>Y. ruckeri</i><span>&nbsp;</span>strains to each other and other known strains for which adequate sequence data was available. In addition, we sought to determine if the strain from Blue Catfish was pathogenic to Rainbow Trout<span>&nbsp;</span><i>Oncorhynchus mykiss</i>.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">Moribund hybrid catfish from culture ponds in Mississippi were processed for diagnostic evaluation in March 2016. In April 2022, a moribund Blue Catfish specimen was collected from a tributary of the Nanticoke River in Maryland. Bacterial isolates were identified and characterized using biochemical tests, antimicrobial sensitivity screening, serotyping, and complete or partial genome sequencing. Disease pathology was described via histology. The isolate from Blue Catfish was used in challenge experiments to determine if it was pathogenic to Rainbow Trout. Multilocus sequencing typing was conducted using the PubMLST database.</p></div><div class=\" sec\"><div class=\"title\">Results</div><p class=\"chapter-para\">Biochemical testing was consistent with<span>&nbsp;</span><i>Y. ruckeri</i>. A draft genome of the<span>&nbsp;</span><i>Y. ruckeri</i><span>&nbsp;</span>isolate was assembled based on Oxford Nanopore Technology sequencing and identified a single genomic replicon (3,791,418 bp) consistent in size to other<span>&nbsp;</span><i>Y. ruckeri</i><span>&nbsp;</span>genomes and a pLT plasmid (60, 933 bp). The challenge study demonstrated no significant virulence of this isolate for Rainbow Trout (<i>Y. ruckeri</i>). This isolate was most similar to other strains isolated from ictalurids. Notably, the gyrase B gene from this isolate was identical to that of archived strains isolated from moribund Mississippi hybrid catfish aquaculture during 2016 and these isolates share identical PubMLST sequence type profiles. Similarly, they shared a pLT plasmid that differed by only 6 bp. This plasmid has never been reported from trout isolates and appears to be unique to ictalurids.</p></div><div class=\" sec\"><div class=\"title\">Conclusions</div><p class=\"chapter-para\">Analyses here provide preliminary genetic evidence that geographically distant (Maryland and Mississippi, USA) isolates of<span>&nbsp;</span><i>Y. ruckeri</i><span>&nbsp;</span>from ictalurids are genetically similar to each other and<span>&nbsp;</span><i>Y. ruckeri</i><span>&nbsp;</span>(strain SC09) that infects ictalurids in China. This strain is not a biothreat to Rainbow Trout at typical culture temperatures.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jahafs/vsae004","usgsCitation":"Densmore, C., Hendrix, M., Reichley, S., Raines, C.D., Bressman, N., Crum, Z., Khoo, L., Waldbieser, G., Griffin, M., Welch, T., and Iwanowicz, L., 2025, Identical sequence types of Yersinia ruckeri associated with lethal disease in wild-caught invasive Blue Catfish and cultured hybrid catfish (Channel Catfish ♀ × Blue Catfish ♂) from disparate aquatic ecosystems: Journal of Aquatic Animal Health, v. 37, no. 1, p. 21-33, https://doi.org/10.1093/jahafs/vsae004.","productDescription":"13 p.","startPage":"21","endPage":"33","ipdsId":"IP-149482","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":484851,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-04-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Densmore, Christine L. 0000-0001-6440-0781","orcid":"https://orcid.org/0000-0001-6440-0781","contributorId":349917,"corporation":false,"usgs":false,"family":"Densmore","given":"Christine L.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":934042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hendrix, Madeleine","contributorId":353591,"corporation":false,"usgs":false,"family":"Hendrix","given":"Madeleine","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":934043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reichley, Stephen","contributorId":353592,"corporation":false,"usgs":false,"family":"Reichley","given":"Stephen","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":934044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Raines, Clayton D. 0000-0002-0403-190X","orcid":"https://orcid.org/0000-0002-0403-190X","contributorId":296362,"corporation":false,"usgs":true,"family":"Raines","given":"Clayton","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":934045,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bressman, Noah 0000-0002-2916-3562","orcid":"https://orcid.org/0000-0002-2916-3562","contributorId":349920,"corporation":false,"usgs":false,"family":"Bressman","given":"Noah","affiliations":[{"id":36201,"text":"Salisbury University","active":true,"usgs":false}],"preferred":false,"id":934046,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crum, Zachary","contributorId":349921,"corporation":false,"usgs":false,"family":"Crum","given":"Zachary","affiliations":[{"id":6952,"text":"California Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":934047,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Khoo, Lester","contributorId":353593,"corporation":false,"usgs":false,"family":"Khoo","given":"Lester","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":934048,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Waldbieser, Geoffrey","contributorId":353594,"corporation":false,"usgs":false,"family":"Waldbieser","given":"Geoffrey","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":934049,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Griffin, Matt","contributorId":353595,"corporation":false,"usgs":false,"family":"Griffin","given":"Matt","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":934050,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Welch, Timothy J","contributorId":265180,"corporation":false,"usgs":false,"family":"Welch","given":"Timothy J","affiliations":[{"id":54629,"text":"National Center for Cool and Cold Water Aquaculture, Agricultural Research Service, United States Department of Agriculture, Kearneysville, West Virginia","active":true,"usgs":false}],"preferred":false,"id":934051,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Iwanowicz, Luke R. 0000-0002-1197-6178","orcid":"https://orcid.org/0000-0002-1197-6178","contributorId":79382,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":934052,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70264969,"text":"70264969 - 2025 - Nanometer-scale relationships between sedimentary organic matter molecular composition, fluorescence, cathodoluminescence, and reflectance: The importance of oxygen content at low thermal maturities","interactions":[],"lastModifiedDate":"2025-04-07T15:21:16.156202","indexId":"70264969","displayToPublicDate":"2025-04-04T10:19:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2958,"text":"Organic Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Nanometer-scale relationships between sedimentary organic matter molecular composition, fluorescence, cathodoluminescence, and reflectance: The importance of oxygen content at low thermal maturities","docAbstract":"<p><span>Molecular characterization of sedimentary organic matter (SOM), termed macerals, is a common goal when seeking to understand petroleum generation as well as other geologic processes in deep time. However, unambiguous measurement of discrete macerals is challenging due to the small size of organic particles in sedimentary rocks, the proximity of different organic matter types to one another, mineral-organic matter interactions, and maceral mixing that occurs during SOM isolation prior to ex situ analysis. The recent advent of infrared spectrometers capable of nanometer-scale resolution and the application of these technologies to geologic samples has enabled advances in rapid, in situ molecular characterization of SOM allowing for insights into paleoenvironmental processes, such as organic matter productivity and preservation, among others. Here we employ one such technology, optical photothermal infrared (OPTIR) spectroscopy, to map SOM functional group distributions at 500-nm resolution in a sample from the Lower Cretaceous Sunniland Limestone of the South Florida Basin. Examined fields of view include occurrences of amorphous organic matter (AOM), inertinite, micrinite, solid bitumen, telalginite, and vitrinite. OPTIR data from these macerals are compared against traditional organic petrographic data from the same organic grains including fluorescence intensity and white light reflectance as well as against cathodoluminescence response, an emerging organic petrographic approach. Maceral oxygen content (using carbonyl functional group abundance as a proxy) is observed to vary widely between maceral types but correlates strongly with fluorescence and cathodoluminescence intensity as well as against reflectance. These findings highlight the important role that oxygen content plays in determining the optical properties of SOM and further demonstrate the ability of OPTIR to discriminate subtle molecular differences between SOM types.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.orggeochem.2025.104990","usgsCitation":"Jubb, A., Hackley, P.C., McAleer, R.J., and Qu, J., 2025, Nanometer-scale relationships between sedimentary organic matter molecular composition, fluorescence, cathodoluminescence, and reflectance: The importance of oxygen content at low thermal maturities: Organic Geochemistry, v. 204, 104990, 7 p., https://doi.org/10.1016/j.orggeochem.2025.104990.","productDescription":"104990, 7 p.","ipdsId":"IP-173289","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":488599,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.orggeochem.2025.104990","text":"Publisher Index Page"},{"id":484251,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"204","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":932125,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":932126,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":932127,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Qu, Jing","contributorId":242671,"corporation":false,"usgs":false,"family":"Qu","given":"Jing","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":932128,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267524,"text":"70267524 - 2025 - Streamflow response to glacier mass loss varies with basin precipitation across Alaska","interactions":[],"lastModifiedDate":"2025-05-28T14:28:22.882379","indexId":"70267524","displayToPublicDate":"2025-04-04T09:24:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Streamflow response to glacier mass loss varies with basin precipitation across Alaska","docAbstract":"<p><span>Diminishing glaciers affect streamflow, and given the extent of glaciers in Alaska and adjacent Canada, continued glacier mass loss is likely to have profound effects on ecosystems sensitive to runoff. The effects of glacier mass loss on streamflow are likely to vary across the wide ranges of basin size, glacier cover, and precipitation in this region. In this study, we use U.S. Geological Survey (USGS) streamflow data with satellite-based glacier volume change estimates to quantify how glacier mass loss subsidized streamflow over the 2000–2019 period for 116 glacierized basins. We examine interannual variability in that subsidy at three USGS-monitored glaciers to explore the ability of the subsidy to buffer streamflow derived solely from precipitation. We found the relative importance of percent glacier cover on streamflow magnitude increases in drier basins. In the driest basins, glaciers produced 40 times greater percent glacier mass loss subsidies to streamflow for the percent glacier cover compared to the wettest basins. While the subsidy from glacier mass loss buffers interannual variability in streamflow to varying degrees, it can also increase streamflow variability. Smaller amounts of percent glacier cover are needed to produce summer-melt-dominated seasonal flow regimes in drier basins than in wetter basins. Decreasing glacier cover will eventually decrease summer streamflow, increasing spring streamflow in drier basins, and attenuating seasonality with increasing spring and autumnal streamflow in wetter basins. Quantifying the downstream effects of continued glacier mass loss without the computational expense of a hydrological model is broadly applicable in this changing climate.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024WR037859","usgsCitation":"Curran, J.H., Rick, B., Littell, J., and Sass, L., 2025, Streamflow response to glacier mass loss varies with basin precipitation across Alaska: Water Resources Research, v. 61, no. 4, e2024WR037859, 18 p., https://doi.org/10.1029/2024WR037859.","productDescription":"e2024WR037859, 18 p.","ipdsId":"IP-165191","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":490156,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024wr037859","text":"Publisher Index Page"},{"id":486640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70267440,"text":"70267440 - 2025 - Optimizing control of a freshwater invader in time and space","interactions":[],"lastModifiedDate":"2025-05-23T15:49:02.287668","indexId":"70267440","displayToPublicDate":"2025-04-04T08:37:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing control of a freshwater invader in time and space","docAbstract":"The global spread of invasive species in aquatic ecosystems has prompted population control efforts to mitigate negative impacts on native species and ecosystem functions. Removal programs that optimally allocate removal effort across space and time offer promise for improving invader suppression or eradication, especially given the limited resources available to these programs. However, science-based guidance to inform such programs remains limited. This study leverages two intensive fish removal programs for nonnative green sunfish (Lepomis cyanellus) in intermittent streams of the Bill Williams River basin in Arizona, USA, to explore alternative management strategies involving variable allocation of removal effort in time and space and compare static versus dynamic decision rules. We used Bayesian hierarchical modeling to estimate demographic parameters using existing removal data, with evidence that both removal programs led to at least a 0.39 probability of eradication. Simulated alternative management strategies revealed that population suppression, but not eradication, could be achieved with reduced effort, and that dynamic management practices that respond to species abundance in real time can improve the efficiency of removal efforts. High removal frequency and program duration, including continued monitoring after zero fish were captured, contributed to successful population control. With management efforts struggling to keep pace with the rising spread and impacts of invasive species, this research demonstrates the utility of quantitative removal models to help improve invasive removal programs and robustly evaluate the success of population suppression and eradication.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.70026","usgsCitation":"Diallo, J., Converse, S.J., Chmiel, M., Stites, A., and Olden, J., 2025, Optimizing control of a freshwater invader in time and space: Ecological Applications, v. 35, no. 3, e70026, 17 p., https://doi.org/10.1002/eap.70026.","productDescription":"e70026, 17 p.","ipdsId":"IP-151980","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":487965,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.70026","text":"Publisher Index Page"},{"id":486519,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Bill Williams River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.87855871265536,\n              34.69978264689745\n            ],\n            [\n              -113.87855871265536,\n              34.0589425188774\n            ],\n            [\n              -113.23223159100554,\n              34.0589425188774\n            ],\n            [\n              -113.23223159100554,\n              34.69978264689745\n            ],\n            [\n              -113.87855871265536,\n              34.69978264689745\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"35","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-05-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Diallo, Jessica O.","contributorId":355825,"corporation":false,"usgs":false,"family":"Diallo","given":"Jessica O.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":938203,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":938204,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chmiel, Matthew","contributorId":355827,"corporation":false,"usgs":false,"family":"Chmiel","given":"Matthew","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":938205,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stites, Andy","contributorId":355829,"corporation":false,"usgs":false,"family":"Stites","given":"Andy","affiliations":[{"id":12922,"text":"Arizona Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":938206,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olden, Julian D.","contributorId":338326,"corporation":false,"usgs":false,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":938207,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70267424,"text":"70267424 - 2025 - Origin stories: How does learned migratory behaviour arise in populations?","interactions":[],"lastModifiedDate":"2025-05-23T15:34:18.695232","indexId":"70267424","displayToPublicDate":"2025-04-04T08:30:37","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1023,"text":"Biological Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Origin stories: How does learned migratory behaviour arise in populations?","docAbstract":"<p><span>Although decades of research have deepened our understanding of the proximate triggers and ultimate drivers of migrations for a range of taxa, how populations establish migrations remains a mystery. However, recent studies have begun to illuminate the interplay between genetically inherited and learned migrations, opening the door to the evaluation of how migration may be learned, established, and maintained. Nevertheless, for migratory species where the role of learning is evident, we lack a comprehensive framework for understanding how populations learn specific routes and refine migratory movements over time (i.e.,&nbsp;their origins). This review draws on advances in behavioural and movement ecology to offer a comprehensive framework for how populations could transition from resident to migratory by connecting cognitive research on fine-scale perceptual cues and movement decisions with literature on learning and cultural transmission, to the emergent pattern of migration. We synthesize the multiple cognitive mechanisms and processes that allow a population to respond to seasonal resource limitation, then encode spatial and environmental information about resource availability in memory and engage in social learning to navigate their landscapes and track resources better. A rise in global reintroduction efforts, along with human-induced rapid shifts in environmental cues and changing landscapes make evaluating the origins of this threatened behaviour more urgent than ever.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/brv.13171","usgsCitation":"Fugate, J., Wallace, C.F., Aikens, E., Jesmer, B., and Kauffman, M., 2025, Origin stories: How does learned migratory behaviour arise in populations?: Biological Reviews, v. 100, no. 2, p. 996-1014, https://doi.org/10.1111/brv.13171.","productDescription":"19 p.","startPage":"996","endPage":"1014","ipdsId":"IP-173149","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498244,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/brv.13171","text":"Publisher Index Page"},{"id":486516,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"100","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-12-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Fugate, Janey","contributorId":355577,"corporation":false,"usgs":false,"family":"Fugate","given":"Janey","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":938164,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wallace, Cody F.","contributorId":296049,"corporation":false,"usgs":false,"family":"Wallace","given":"Cody","email":"","middleInitial":"F.","affiliations":[{"id":63974,"text":"Wyoming Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":938165,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aikens, Ellen O.","contributorId":287807,"corporation":false,"usgs":false,"family":"Aikens","given":"Ellen O.","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":938166,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jesmer, Brett","contributorId":337695,"corporation":false,"usgs":false,"family":"Jesmer","given":"Brett","affiliations":[{"id":61502,"text":"yu","active":true,"usgs":false}],"preferred":false,"id":938167,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":938168,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70268269,"text":"70268269 - 2025 - Sprague’s Pipits (Anthus spragueii) occupying high-elevation intermontane valley habitat throughout the breeding season in southwest Montana","interactions":[],"lastModifiedDate":"2025-06-18T15:23:10.932977","indexId":"70268269","displayToPublicDate":"2025-04-04T08:16:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Sprague’s Pipits (Anthus spragueii) occupying high-elevation intermontane valley habitat throughout the breeding season in southwest Montana","docAbstract":"<p><span>Sprague's Pipit (</span><i>Anthus spragueii</i><span>) is an imperiled bird species that breeds in grasslands of the northern Great Plains of North America. While conducting avian surveys in the Centennial Valley, Beaverhead County, southwest Montana, during spring and summer 2023, we detected approximately 10 male Sprague's Pipits performing aerial displays. These represent the first detailed observations of Sprague's Pipits in Beaverhead County, Montana, and the first confirmed observations of territorial displays therein. Subsequent detections included multiple adults, one of which was seen flying with food in its bill. We hypothesize that these observations represent a small but previously undescribed breeding population occurring above 2000 m elevation, which is higher than elevations at which this species is generally thought to breed. Our discovery also expands the known breeding habitat of this species to include intermontane valley bottoms, raising questions of whether the historical range included this habitat prior to its large-scale modifications across western North America and contemporary global change. These additions to our understanding of Sprague's Pipit ecology may be important for both land managers in the region and conservation efforts for this species. The evidence described here, of a breeding population of Sprague's Pipits in the Centennial Valley, Montana, may warrant further investigations in intermontane valleys throughout the region to better understand the breeding extent and the management actions needed to conserve this species and its habitat.</span></p><p><br></p>","language":"English","publisher":"BioOne","doi":"10.3398/064.085.0107","usgsCitation":"Staufer, A., Maggs, E., Beever, E.A., and Mitchell, A., 2025, Sprague’s Pipits (Anthus spragueii) occupying high-elevation intermontane valley habitat throughout the breeding season in southwest Montana: Western North American Naturalist, v. 85, no. 1, p. 80-86, https://doi.org/10.3398/064.085.0107.","productDescription":"7 p.","startPage":"80","endPage":"86","ipdsId":"IP-165664","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":490918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"southwest Montana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.58135992462717,\n              47.43630025014619\n            ],\n            [\n              -110.58135992462717,\n              44.94886000398478\n            ],\n            [\n              -104.04233087797031,\n              44.94886000398478\n            ],\n            [\n              -104.04233087797031,\n              47.43630025014619\n            ],\n            [\n              -110.58135992462717,\n              47.43630025014619\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"85","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Staufer, Andrew C.","contributorId":357061,"corporation":false,"usgs":false,"family":"Staufer","given":"Andrew C.","affiliations":[{"id":85318,"text":"Department of Animal and Range Sciences, Montana State University","active":true,"usgs":false}],"preferred":false,"id":940652,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maggs, Emilie K.","contributorId":357062,"corporation":false,"usgs":false,"family":"Maggs","given":"Emilie K.","affiliations":[{"id":85318,"text":"Department of Animal and Range Sciences, Montana State University","active":true,"usgs":false}],"preferred":false,"id":940653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beever, Erik A. 0000-0002-9369-486X ebeever@usgs.gov","orcid":"https://orcid.org/0000-0002-9369-486X","contributorId":2934,"corporation":false,"usgs":true,"family":"Beever","given":"Erik","email":"ebeever@usgs.gov","middleInitial":"A.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":940654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, Adam E.","contributorId":338879,"corporation":false,"usgs":false,"family":"Mitchell","given":"Adam E.","affiliations":[{"id":48645,"text":"umt","active":true,"usgs":false}],"preferred":false,"id":940655,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273719,"text":"70273719 - 2025 - Genomic and epidemiological investigations reveal chromosomal integration of the acipenserid herpesvirus 3 genome in Lake Sturgeon <i>Acipenser fulvescens</i>","interactions":[],"lastModifiedDate":"2026-01-26T15:22:08.21169","indexId":"70273719","displayToPublicDate":"2025-04-04T08:13:29","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3700,"text":"Viruses","active":true,"publicationSubtype":{"id":10}},"title":"Genomic and epidemiological investigations reveal chromosomal integration of the acipenserid herpesvirus 3 genome in Lake Sturgeon <i>Acipenser fulvescens</i>","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>DNA sequence from a new alloherpesvirus named acipenserid herpesvirus 3 (AciHV-3) was found in sturgeon species that are vulnerable to decline globally. A study was undertaken to develop a better understanding of the virus genome and to develop diagnostic tools to support an epidemiological investigation. A 184,426 bp genome was assembled from PacBio HiFi sequences generated with DNA from a Lake Sturgeon&nbsp;</span><span class=\"html-italic\">Acipenser fulvescens</span><span>&nbsp;gonad cell line. The AciHV-3 genome was contiguous with host chromosomal DNA and was structured with telomere-like terminal direct repeat regions, five internal direct repeat regions and a U region that included intact open reading frames encoding alloherpesvirus core proteins. Diagnostic testing conducted with a newly developed and analytically validated qPCR assay established the ubiquitous presence and high titer of AciHV-3 DNA in somatic and germline tissues from wild Lake Sturgeon in the Hudson Bay drainage basin. Phylogenetic reconstructions confirm that the monophyletic AciHV-3 lineage shares a common ancestor with AciHV-1 and that AciHV-3 taxa cluster according to their sturgeon host. The same genotype of AciHV-3 is found in disjunctive Lake Sturgeon populations within and among drainage basins. The results support the hypotheses that AciHV-3 has established latency through germline chromosomal integration, is vertically transmitted via a Mendelian pattern of inheritance, is evolving in a manner consistent with a replication competent virus and has co-evolved with its host reaching genetic fixation in Lake Sturgeon populations in central Canada.</span></span></p>","language":"English","publisher":"MDPI","doi":"10.3390/v17040534","usgsCitation":"Clouthier, S., Rosani, U., Khan, A., Ding, Q., Emmenegger, E.J., Wang, Z., Nalpathamkalam, T., and Thiruvahindrapuram, B., 2025, Genomic and epidemiological investigations reveal chromosomal integration of the acipenserid herpesvirus 3 genome in Lake Sturgeon <i>Acipenser fulvescens</i>: Viruses, v. 17, no. 4, 534, 38 p., https://doi.org/10.3390/v17040534.","productDescription":"534, 38 p.","ipdsId":"IP-172152","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":499316,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/v17040534","text":"Publisher Index Page"},{"id":499014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Hudson Bay drainage basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.46741705770053,\n              64.0737514306714\n            ],\n            [\n              -95.178597079379,\n              60.89609641598314\n            ],\n            [\n              -96.22030642078651,\n              54.19529143532145\n            ],\n            [\n              -82.46768056118883,\n              50.95316586924791\n            ],\n            [\n              -74.65967895463073,\n              51.2290222840133\n            ],\n            [\n              -76.84386118326215,\n              63.61342865363554\n            ],\n            [\n              -84.65563912048134,\n              63.843590042153465\n            ],\n            [\n              -92.46741705770053,\n              64.0737514306714\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-04-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Clouthier, Sharon","contributorId":210029,"corporation":false,"usgs":false,"family":"Clouthier","given":"Sharon","affiliations":[{"id":38053,"text":"Fisheries & Oceans Canada, Freshwater Institute, 501 University Crescent, Winnipeg, Manitoba R3T 2N6, Canada","active":true,"usgs":false}],"preferred":false,"id":954424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosani, Umberto","contributorId":365594,"corporation":false,"usgs":false,"family":"Rosani","given":"Umberto","affiliations":[{"id":87161,"text":"Department of Biology, University of Padova, Padova, Italy","active":true,"usgs":false}],"preferred":false,"id":954425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Khan, Arfa","contributorId":365595,"corporation":false,"usgs":false,"family":"Khan","given":"Arfa","affiliations":[{"id":87162,"text":"Freshwater Institute, Department of Fisheries and Oceans, Winnipeg, Manitoba, Canada,","active":true,"usgs":false}],"preferred":false,"id":954426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ding, Qiuwen","contributorId":365596,"corporation":false,"usgs":false,"family":"Ding","given":"Qiuwen","affiliations":[{"id":87163,"text":"The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":954427,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Emmenegger, Eveline J. 0000-0001-5217-6030 eemmenegger@usgs.gov","orcid":"https://orcid.org/0000-0001-5217-6030","contributorId":202027,"corporation":false,"usgs":true,"family":"Emmenegger","given":"Eveline","email":"eemmenegger@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":954428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Zhuozhi","contributorId":328968,"corporation":false,"usgs":false,"family":"Wang","given":"Zhuozhi","email":"","affiliations":[{"id":78542,"text":"The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4; Canada","active":true,"usgs":false}],"preferred":false,"id":954429,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Nalpathamkalam, Thomas","contributorId":328967,"corporation":false,"usgs":false,"family":"Nalpathamkalam","given":"Thomas","email":"","affiliations":[{"id":78542,"text":"The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4; Canada","active":true,"usgs":false}],"preferred":false,"id":954430,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thiruvahindrapuram, Bhooma","contributorId":328969,"corporation":false,"usgs":false,"family":"Thiruvahindrapuram","given":"Bhooma","email":"","affiliations":[{"id":78542,"text":"The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON M5G 0A4; Canada","active":true,"usgs":false}],"preferred":false,"id":954431,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70264653,"text":"70264653 - 2025 - Pediment formation and subsequent erosion in Gale crater: Clues to the climate history of Mars","interactions":[],"lastModifiedDate":"2025-03-18T15:05:40.972943","indexId":"70264653","displayToPublicDate":"2025-04-04T07:53:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1963,"text":"Icarus","active":true,"publicationSubtype":{"id":10}},"title":"Pediment formation and subsequent erosion in Gale crater: Clues to the climate history of Mars","docAbstract":"<p><span>Evidence of paleo-rivers, fans, deltas, lakes, and channel networks across Mars has prompted much debate about what climate conditions would permit the formation of these surface water derived features. Pediments, gently sloping erosional surfaces of low relief developed in bedrock, have also been identified on Mars. On Earth, these erosional landforms, often thought to be created by overland flow and shallow channelized runoff, are typically capped by fluvial sediments, and thus in exceptionally arid regions, pediments are interpreted to record past wet periods. Here we document the Greenheugh pediment in Gale crater, exploiting the observational capability of the Curiosity rover. The absence of a fluvial cap suggests that the pediment was likely cut by wind erosion, not fluvial processes. The pediment was then buried by an aeolian deposit (Stimson sandstone) that mantled the lower footslopes of Aeolis Mons (informally known as Mt. Sharp). This burial terminated active wind erosion, preserving the pediment surface (as an angular unconformity). Groundwater was present prior-to, during, and shortly after Stimson deposition, perhaps contributing to lithification and certainly to early diagenesis. Post lithification, wind erosion first cut canyons in the northern most footslopes (north of Vera Rubin ridge). Unlithified gravels were deposited in these canyons, likely due to runoff from Mt. Sharp. Boulder-rich fluvial and debris flow deposits built a&nbsp;&gt;&nbsp;70&nbsp;m thick sequence (Gediz Vallis ridge) on the southern Greenheugh pediment. Continued wind erosion left elevated patches of gravel on the northern footslopes, and exposure age dating shows that erosion essentially ceased before 1&nbsp;Ga (but possibly much earlier). Erosion to the south led to emergence of Vera Rubin ridge, retreat of the Greenheugh pediment, and the formation of Glen Torridon valley. Hence, this footslope environment of Mt. Sharp records climate-driven periods of wind erosion, aeolian deposition (and groundwater activity), surface runoff and sediment deposition, followed by further significant wind erosion that declined to present very slow rates. This likely occurred during the late Hesperian and possibly into the Amazonian.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.icarus.2024.116445","usgsCitation":"Bryk, A., Dietrich, W., Bennett, K.A., Fox, V., Fedo, C., Lamb, M., Kite, E., Thompson, L., Banham, S.G., Schieber, J., Grant, J., Vasavada, A., Fraeman, A., Edgar, L.A., Gasda, P., Wiens, R., Grotzinger, J., Stack-Morgan, K., Arvidson, R., Gasnault, O., Le Mouelic, S., Gupta, S., Williams, R., Sheppard, R., Lewis, K., Rubin, D., Rapin, W., Hughes, M., Turner, M., Wilson, S., Davis, J., Kronyak, R., Le Deit, L., Kah, L., Frydenvang, J., Sullivan, R., Bedford, C., Dehouck, E., Newsom, H., and Malin, M., 2025, Pediment formation and subsequent erosion in Gale crater: Clues to the climate history of Mars: Icarus, v. 430, 116445, 33 p., https://doi.org/10.1016/j.icarus.2024.116445.","productDescription":"116445, 33 p.","ipdsId":"IP-168122","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":488328,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.icarus.2024.116445","text":"Publisher Index Page"},{"id":483472,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"430","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bryk, A.B.","contributorId":351718,"corporation":false,"usgs":false,"family":"Bryk","given":"A.B.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":931078,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dietrich, W.E.","contributorId":351711,"corporation":false,"usgs":false,"family":"Dietrich","given":"W.E.","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":931079,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bennett, Kristen A. 0000-0001-8105-7129","orcid":"https://orcid.org/0000-0001-8105-7129","contributorId":237068,"corporation":false,"usgs":true,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":931080,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fox, V.K.","contributorId":352391,"corporation":false,"usgs":false,"family":"Fox","given":"V.K.","affiliations":[{"id":84198,"text":"Carleton College, Northfield, MN","active":true,"usgs":false}],"preferred":false,"id":931081,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fedo, C.M.","contributorId":351709,"corporation":false,"usgs":false,"family":"Fedo","given":"C.M.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":931082,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lamb, M.P.","contributorId":167365,"corporation":false,"usgs":false,"family":"Lamb","given":"M.P.","affiliations":[{"id":13711,"text":"Caltech","active":true,"usgs":false}],"preferred":false,"id":931083,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kite, E.S.","contributorId":351720,"corporation":false,"usgs":false,"family":"Kite","given":"E.S.","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":931084,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thompson, L.M.","contributorId":352392,"corporation":false,"usgs":false,"family":"Thompson","given":"L.M.","affiliations":[{"id":84200,"text":"University of New Brunswick, Planetary and Space Science Centre, Fredericton, Canada","active":true,"usgs":false}],"preferred":false,"id":931085,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Banham, S. 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Lyon, Univ. Lyon 1, ENSL, CNRS","active":true,"usgs":false}],"preferred":false,"id":931114,"contributorType":{"id":1,"text":"Authors"},"rank":38},{"text":"Newsom, H.E.","contributorId":352406,"corporation":false,"usgs":false,"family":"Newsom","given":"H.E.","affiliations":[{"id":84210,"text":"University of New Mexico, Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":931115,"contributorType":{"id":1,"text":"Authors"},"rank":39},{"text":"Malin, M.C.","contributorId":196205,"corporation":false,"usgs":false,"family":"Malin","given":"M.C.","email":"","affiliations":[{"id":24734,"text":"Malin Space Science Systems, San Diego","active":true,"usgs":false}],"preferred":false,"id":931116,"contributorType":{"id":1,"text":"Authors"},"rank":40}]}}
,{"id":70265931,"text":"70265931 - 2025 - Multiyear crop residue cover mapping using narrow-band vs. broad-band shortwave infrared satellite imagery","interactions":[],"lastModifiedDate":"2025-04-22T16:13:44.477123","indexId":"70265931","displayToPublicDate":"2025-04-03T11:10:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5012,"text":"Soil and Tillage Research","active":true,"publicationSubtype":{"id":10}},"title":"Multiyear crop residue cover mapping using narrow-band vs. broad-band shortwave infrared satellite imagery","docAbstract":"<p><span>Crop residue serves an important role in agricultural systems as high levels of fractional crop residue cover (</span><i>f</i><sub>R</sub><span>) can reduce erosion, preserve soil moisture, and build soil organic carbon. However, the ability to accurately quantify&nbsp;</span><i>f</i><sub>R</sub><span>&nbsp;at scale has been limited. In this study we produced annual maps of&nbsp;</span><i>f</i><sub>R</sub><span>&nbsp;for farmland in Maryland, USA using WorldView-3 (WV3) imagery paired with on-farm photographs (</span><i>n</i><span> = 895) classified to&nbsp;</span><i>f</i><sub>R</sub><span>&nbsp;using SamplePoint software. Univariate linear regressions were used to compare photograph&nbsp;</span><i>f</i><sub>R</sub><span>&nbsp;to WV3 crop residue indices including: 1) Shortwave Infrared Normalized Difference Residue Index (SINDRI), 2) Shortwave Infrared Difference Residue Index (SIDRI), 3) Normalized Difference Tillage Index (NDTI), and 4) Shortwave Infrared Angle Index (SWIRA). SINDRI and SIDRI are based on narrow bands capable of measuring lignocellulose absorption features. NDTI and SWIRA are based on Landsat-comparable broad bands. Our findings demonstrated that SINDRI outperformed other indices in&nbsp;</span><i>f</i><sub>R</sub><span>&nbsp;estimation in terms of coefficient of determination (</span><i>R</i><sup>2</sup><span>&nbsp;= 0.869) and root mean square error (RMSE = 0.111), when&nbsp;</span><i>R</i><sup>2</sup><span>&nbsp;and RMSE were averaged across six individual years. For a univariate analysis combining five years of high-quality WV3 imagery, SINDRI again exhibited the highest&nbsp;</span><i>f</i><sub>R</sub><span>&nbsp;estimation performance (</span><i>R</i><sup>2</sup><span>&nbsp;= 0.795; RMSE = 0.141), suggesting that SINDRI can map&nbsp;</span><i>f</i><sub>R</sub><span>&nbsp;accurately with a singular relationship, potentially reducing the need for labor-intensive ground data collection. For broad-band indices, a&nbsp;multiple linear regression&nbsp;analysis that included a Water Index (WI) and Normalized Difference Vegetation Index (NDVI) as additional predictors increased the accuracy of&nbsp;</span><i>f</i><sub>R</sub><span>&nbsp;estimation significantly, particularly for SWIRA (</span><i>R</i><sup>2</sup><span>&nbsp;= 0.767; RMSE = 0.144), but also NDTI (</span><i>R</i><sup>2</sup><span>&nbsp;= 0.654; RMSE = 0.174). Our findings suggest that while indices computed from narrow-band imagery are most accurate for&nbsp;</span><i>f</i><sub>R</sub><span>&nbsp;estimation, SWIRA has the potential to improve&nbsp;</span><i>f</i><sub>R</sub><span>&nbsp;estimation compared to NDTI, especially when used in conjunction with WI and NDVI. An index suite of SWIRA, WI, and NDVI can be computed with Landsat 4–9 imagery, providing a more accurate record of global&nbsp;</span><i>f</i><sub>R</sub><span>&nbsp;dating back to 1982.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.still.2025.106524","usgsCitation":"Lamb, B.T., Hively, W.D., Jennewein, J., Thieme, A., Soroka, A.M., Santos, L., Jones, D., and Mirsky, S., 2025, Multiyear crop residue cover mapping using narrow-band vs. broad-band shortwave infrared satellite imagery: Soil and Tillage Research, v. 251, 106524, 19 p., https://doi.org/10.1016/j.still.2025.106524.","productDescription":"106524, 19 p.","ipdsId":"IP-170664","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":488482,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.still.2025.106524","text":"Publisher Index Page"},{"id":484843,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"251","noUsgsAuthors":false,"publicationDate":"2025-04-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Lamb, Brian T. 0000-0001-7957-5488","orcid":"https://orcid.org/0000-0001-7957-5488","contributorId":291893,"corporation":false,"usgs":true,"family":"Lamb","given":"Brian","middleInitial":"T.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934056,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hively, W. Dean 0000-0002-5383-8064","orcid":"https://orcid.org/0000-0002-5383-8064","contributorId":201565,"corporation":false,"usgs":true,"family":"Hively","given":"W.","email":"","middleInitial":"Dean","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":934057,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jennewein, Jyoti","contributorId":243442,"corporation":false,"usgs":false,"family":"Jennewein","given":"Jyoti","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":934058,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thieme, Alison","contributorId":335444,"corporation":false,"usgs":false,"family":"Thieme","given":"Alison","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":934059,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Soroka, Alexander M. 0000-0002-8002-5229","orcid":"https://orcid.org/0000-0002-8002-5229","contributorId":201664,"corporation":false,"usgs":true,"family":"Soroka","given":"Alexander","email":"","middleInitial":"M.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":934060,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Santos, Leticia","contributorId":353598,"corporation":false,"usgs":false,"family":"Santos","given":"Leticia","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":934061,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Daniela","contributorId":353599,"corporation":false,"usgs":false,"family":"Jones","given":"Daniela","affiliations":[{"id":13595,"text":"NCSU","active":true,"usgs":false}],"preferred":false,"id":934062,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Mirsky, Steven","contributorId":292000,"corporation":false,"usgs":false,"family":"Mirsky","given":"Steven","affiliations":[{"id":62785,"text":"USDA-ARS Sustainable Agricultural Systems Laboratory","active":true,"usgs":false}],"preferred":false,"id":934063,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70267344,"text":"70267344 - 2025 - Acute Toxicity of 4-hydroxydiphenylamine (4-HDPA) and N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine-quinone (6PPDQ), transformation products of 6PPD, to early instars of the mayfly, Neocloeon triangulifer","interactions":[],"lastModifiedDate":"2025-05-20T17:42:56.539847","indexId":"70267344","displayToPublicDate":"2025-04-03T10:36:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17090,"text":"Environmental Toxicology & Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Acute Toxicity of 4-hydroxydiphenylamine (4-HDPA) and N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine-quinone (6PPDQ), transformation products of 6PPD, to early instars of the mayfly, Neocloeon triangulifer","docAbstract":"<p><span>Our analysis of water samples collected during a rain event from two urban rivers in the Greater Toronto area, Ontario, Canada, indicated that selected transformation products (TPs) of the tire antioxidant, N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine (6PPD), including 6PPD-quinone (6PPDQ) and 4-hydroxydiphenylamine (4-HDPA), were present at concentrations &gt;1 µg/L. In acute (96-hr) toxicity tests with aquatic larvae of the mayfly&nbsp;</span><i>Neocloeon triangulifer</i><span>, 6PPDQ did not cause mortalities at the highest test concentration, which was just below the limit of solubility. In toxicity tests with 4-HDPA, a calculated 96-hr median lethal concentration of 339 µg/L is above environmentally relevant concentrations. However, in toxicity tests with 6PPD, there was evidence that the degradation of this tire wear compound produced unknown TPs that caused mortalities in exposed mayfly larvae. Additional work could identify other TPs of 6PPD that could be a hazard to aquatic invertebrates exposed to tire wear compounds transported into surface waters from transportation corridors.</span></p>","language":"English","publisher":"Society for Environmental Toxicology and Chemistry","doi":"10.1093/etojnl/vgaf062","usgsCitation":"Soucek, D.J., Dorman, R.A., Steevens, J.A., Yargeau, V., Pineda, M., Bennett, E., and Metcalfe, C., 2025, Acute Toxicity of 4-hydroxydiphenylamine (4-HDPA) and N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine-quinone (6PPDQ), transformation products of 6PPD, to early instars of the mayfly, Neocloeon triangulifer: Environmental Toxicology & Chemistry, v. 44, no. 5, p. 1369-1377, https://doi.org/10.1093/etojnl/vgaf062.","productDescription":"9 p.","startPage":"1369","endPage":"1377","ipdsId":"IP-172245","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":486240,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"Ontario","city":"Toronto","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.42368046700955,\n              44.11997206927657\n            ],\n            [\n              -80.42368046700955,\n              43.47787968657278\n            ],\n            [\n              -78.48291547339888,\n              43.47787968657278\n            ],\n            [\n              -78.48291547339888,\n              44.11997206927657\n            ],\n            [\n              -80.42368046700955,\n              44.11997206927657\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"44","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-04-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Soucek, David J. 0000-0002-7741-0193 drieckssoucek@usgs.gov","orcid":"https://orcid.org/0000-0002-7741-0193","contributorId":295408,"corporation":false,"usgs":true,"family":"Soucek","given":"David","email":"drieckssoucek@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":937808,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dorman, Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":937809,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":937810,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yargeau, Viviane","contributorId":352224,"corporation":false,"usgs":false,"family":"Yargeau","given":"Viviane","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":937811,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pineda, Marco","contributorId":352225,"corporation":false,"usgs":false,"family":"Pineda","given":"Marco","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":937812,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennett, Erin","contributorId":352226,"corporation":false,"usgs":false,"family":"Bennett","given":"Erin","affiliations":[{"id":36679,"text":"Trent University","active":true,"usgs":false}],"preferred":false,"id":937813,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Metcalfe, Chris","contributorId":152693,"corporation":false,"usgs":false,"family":"Metcalfe","given":"Chris","email":"","affiliations":[],"preferred":false,"id":937814,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70269958,"text":"70269958 - 2025 - Living with uncertainty: Using multi-model large ensembles to assess emperor penguin extinction risk for the IUCN Red List","interactions":[],"lastModifiedDate":"2025-08-07T15:36:23.659888","indexId":"70269958","displayToPublicDate":"2025-04-03T10:30:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Living with uncertainty: Using multi-model large ensembles to assess emperor penguin extinction risk for the IUCN Red List","docAbstract":"<p><span>Improved methods for identifying species at risk are needed to strengthen climate change vulnerability assessments, as current estimates indicate that up to one million species face extinction due to environmental changes. Integrating multiple sources of uncertainty enhances the robustness of Red List of Threatened Species assessments, providing a more comprehensive understanding of species’ risks. We present a comprehensive framework that incorporates uncertainties, including measurement error, structural uncertainty, natural variability, future climate emissions scenario, and extreme events of sea ice loss, to evaluate the extinction risk of the emperor penguin (</span><i>Aptenodytes forsteri</i><span>), currently classified as Near-Threatened. We apply three ecological models, one bioclimatic and two metapopulation models, combined with a multi-model large ensemble (MMLE) of climate projections from general circulation models, to conduct a Red List evaluation at both global, regional and colony levels. Our results show that emperor penguins could be classified under a range of Red List categories depending on the ecological model, Intergovernmental Panel on Climate Change (IPCC) climate emissions scenario, and extreme event frequency. Under Criterion A, global classifications vary from Vulnerable to Critically Endangered. Severe declines are projected in the Indian and East Pacific sectors, Dronning Maud Land and the Amundsen-Bellingshausen Sea, with Criterion E indicating that 24% to 100% of colonies meet&nbsp;</span><i>Endangered</i><span>&nbsp;status thresholds, depending on huddling thresholds and ecological models. This study represents the first application of an MMLE coupled with an ecological ensemble approach to project climate change impacts on a species, capturing a comprehensive range of uncertainties and offering a framework for improving forecasting and decision-making under climate change.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2025.111037","usgsCitation":"Jenouvrier, S., Eparvier, A., Sen, B., Ventura, F., Che-Castaldo, C., Holland, M., Landrum, L., Krumhardt, K., Garnier, J., Delord, K., Barbraud, C., and Trathan, P., 2025, Living with uncertainty: Using multi-model large ensembles to assess emperor penguin extinction risk for the IUCN Red List: Biological Conservation, v. 305, 111037, 14 p., https://doi.org/10.1016/j.biocon.2025.111037.","productDescription":"111037, 14 p.","ipdsId":"IP-174001","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493799,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2025.111037","text":"Publisher Index Page"},{"id":493717,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"305","noUsgsAuthors":false,"publicationDate":"2025-04-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenouvrier, Stephanie","contributorId":359201,"corporation":false,"usgs":false,"family":"Jenouvrier","given":"Stephanie","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":945042,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eparvier, Alice","contributorId":359202,"corporation":false,"usgs":false,"family":"Eparvier","given":"Alice","affiliations":[{"id":85760,"text":"Universit´e Claude Bernard Lyon","active":true,"usgs":false}],"preferred":false,"id":945043,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sen, Bilgecan","contributorId":359203,"corporation":false,"usgs":false,"family":"Sen","given":"Bilgecan","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":945044,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ventura, Francesco","contributorId":359204,"corporation":false,"usgs":false,"family":"Ventura","given":"Francesco","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":945046,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Che-Castaldo, Christian Joseph 0000-0002-7670-2178","orcid":"https://orcid.org/0000-0002-7670-2178","contributorId":347906,"corporation":false,"usgs":true,"family":"Che-Castaldo","given":"Christian Joseph","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":945045,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holland, Marika","contributorId":359205,"corporation":false,"usgs":false,"family":"Holland","given":"Marika","affiliations":[{"id":85742,"text":"NSF National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":945047,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Landrum, Laura","contributorId":359206,"corporation":false,"usgs":false,"family":"Landrum","given":"Laura","affiliations":[{"id":85742,"text":"NSF National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":945048,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Krumhardt, Kristen","contributorId":359207,"corporation":false,"usgs":false,"family":"Krumhardt","given":"Kristen","affiliations":[{"id":85742,"text":"NSF National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":945049,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Garnier, Jimmy","contributorId":359210,"corporation":false,"usgs":false,"family":"Garnier","given":"Jimmy","affiliations":[{"id":85761,"text":"CNRS-Universit´e Grenoble Alpes","active":true,"usgs":false}],"preferred":false,"id":945050,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Delord, Karine","contributorId":359211,"corporation":false,"usgs":false,"family":"Delord","given":"Karine","affiliations":[{"id":85764,"text":"Centre d’´Etudes Biologiques de Chiz´e","active":true,"usgs":false}],"preferred":false,"id":945051,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Barbraud, Christophe","contributorId":359212,"corporation":false,"usgs":false,"family":"Barbraud","given":"Christophe","affiliations":[{"id":85764,"text":"Centre d’´Etudes Biologiques de Chiz´e","active":true,"usgs":false}],"preferred":false,"id":945052,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Trathan, Philip","contributorId":359213,"corporation":false,"usgs":false,"family":"Trathan","given":"Philip","affiliations":[{"id":37955,"text":"University of Southampton","active":true,"usgs":false}],"preferred":false,"id":945053,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70267349,"text":"70267349 - 2025 - Nature-based solutions could offset coastal squeeze of tidal wetlands from sea-level rise on the U.S. Pacific coast","interactions":[],"lastModifiedDate":"2025-05-20T15:33:25.995043","indexId":"70267349","displayToPublicDate":"2025-04-03T10:24:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Nature-based solutions could offset coastal squeeze of tidal wetlands from sea-level rise on the U.S. Pacific coast","docAbstract":"<p><span>In this study, we explored the opportunities for tidal wetland landward migration in response to sea-level rise on the Pacific Coast of the United States. By employing a systematic spatial approach, we quantified the available space for wetland migration with sea-level rise across 61 estuarine drainage areas. Although many of the existing tidal wetlands are small patches, our analyses show that 63% of the estuaries lacked the landward migration space needed to replace current tidal wetland extent, thereby threatening a wide range of protected species and ecosystem services. Developed lands and steep topography represent common barriers to migration along the Pacific coast, especially in central and southern California. The available wetland migration space consists primarily of agriculture, pasture, and freshwater wetlands, with most of the area available for migration occurring in just a few watersheds. In most watersheds tidal wetland migration would only occur with human intervention or facilitation. The greatest amount of area available for wetland migration was in the San Francisco Bay-Delta and Columbia River estuaries, together accounting for 58% of all available migration space on the Pacific Coast. Nature-based solutions to reduce tidal wetland loss from sea-level rise can include restoration in suitable areas, removal of barriers to tidal wetland migration, and elevation building approaches. Tidal wetland restoration opportunities could increase area by 59%, underscoring it as a plausible approach to prevent tidal wetland loss in those estuaries and a viable Nature-based solution. 54% of estuaries building elevations of existing tidal wetlands may be the most feasible approach needed. Our analyses illustrate the importance of management efforts that use Nature-based approaches to prevent tidal wetland ecosystem and species loss over the coming decades from sea-level rise.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41598-025-93437-z","usgsCitation":"Thorne, K., Buffington, K., Osland, M., Chivoiu, B., Grace, J., Enwright, N., and Guntenspergen, G.R., 2025, Nature-based solutions could offset coastal squeeze of tidal wetlands from sea-level rise on the U.S. Pacific coast: Scientific Reports, v. 15, 11443, 12 p., https://doi.org/10.1038/s41598-025-93437-z.","productDescription":"11443, 12 p.","ipdsId":"IP-164443","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":490136,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-93437-z","text":"Publisher Index Page"},{"id":486221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Pacific Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.16831375659916,\n              32.529659744934875\n            ],\n            [\n              -115.72548020849868,\n              32.68811119997032\n            ],\n            [\n              -116.72029735902163,\n              34.78387252818949\n            ],\n            [\n              -120.34090280190134,\n              36.54193564982417\n            ],\n            [\n              -120.9472907013008,\n              38.759310670914516\n            ],\n            [\n              -123.54701176882111,\n              41.966192999636405\n            ],\n            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,{"id":70265463,"text":"70265463 - 2025 - Assessing the effect of coral reef restoration location on coastal flood hazard along the San Juan Coastline, Puerto Rico","interactions":[],"lastModifiedDate":"2025-04-07T15:00:09.063332","indexId":"70265463","displayToPublicDate":"2025-04-03T09:53:57","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":"Assessing the effect of coral reef restoration location on coastal flood hazard along the San Juan Coastline, Puerto Rico","docAbstract":"<p><span>Coastal resilience has become a pressing global issue due to the growing vulnerability of coastlines to the effects of climate change. Nature-based solutions have emerged as a promising approach to coastal protection to not only enhance coastal resilience, but also restore critical ecosystems. Coral reef restoration has the potential to provide ecosystem services benefits; however, there are still key uncertainties in linking restoration design to reductions in coastal flood hazard under current and future climate conditions. In this study, we applied one-dimensional and two-dimensional numerical coastal engineering models, calibrated and validated using field data, to evaluate the effectiveness of coral restoration scenarios on coastal waves, water levels, and flooding along the coast of San Juan, Puerto Rico, U.S.A. Model results indicate a small reduction in maximum water levels under the proposed restoration scenarios. This underscores the importance of these endeavors, not only for ecological preservation but also for preventing further reef deterioration. Such preservation is essential for mitigating the increased coastal risks anticipated in the future. Results from this study provide information to guide policymakers and coastal managers in making informed decisions on viable restoration project design options. By systematically evaluating how restoration location impacts coastal flood hazards, communities can develop and implement proactive strategies to mitigate flood-related risk. In addition, by restoring coral reefs, communities can contribute to environmental preservation while ensuring sustainable development and protection of coastal environments.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2025.1528460","usgsCitation":"Familkhalili, R., Storlazzi, C.D., Nemeth, M., and Viehman, S., 2025, Assessing the effect of coral reef restoration location on coastal flood hazard along the San Juan Coastline, Puerto Rico: Frontiers in Marine Science, v. 12, 1528460, 11 p., https://doi.org/10.3389/fmars.2025.1528460.","productDescription":"1528460, 11 p.","ipdsId":"IP-169548","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488566,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2025.1528460","text":"Publisher Index Page"},{"id":484246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico, San Juan coastline","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -66.08782395132914,\n              18.480815260981046\n            ],\n            [\n              -66.09096383189711,\n              18.45217867401871\n            ],\n            [\n              -65.96850848974445,\n              18.42720367145678\n            ],\n            [\n              -65.96005496513799,\n              18.468673931779904\n            ],\n            [\n              -66.08782395132914,\n              18.480815260981046\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2025-04-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Familkhalili, Ramin","contributorId":353052,"corporation":false,"usgs":false,"family":"Familkhalili","given":"Ramin","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":932770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nemeth, Michael","contributorId":353056,"corporation":false,"usgs":false,"family":"Nemeth","given":"Michael","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":932773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Viehman, Shay","contributorId":353053,"corporation":false,"usgs":false,"family":"Viehman","given":"Shay","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":932771,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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