{"pageNumber":"12","pageRowStart":"275","pageSize":"25","recordCount":185113,"records":[{"id":70274697,"text":"70274697 - 2026 - Status and trends in the Lake Superior fish community, 2025","interactions":[],"lastModifiedDate":"2026-04-07T14:01:10.480337","indexId":"70274697","displayToPublicDate":"2026-03-31T08:48:57","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Status and trends in the Lake Superior fish community, 2025","docAbstract":"<p>The U.S. Geological Survey has conducted annual trawl surveys across Lake Superior since 1978 that describe trends in fish species occurrence and relative abundance to support fisheries science and management. In 2025, the Lake Superior fish community was sampled with daytime bottom and surface trawls at 72 nearshore stations in May and June and 36 offshore locations in July. Nearshore bottom trawls collected 63,005 fish represented by 30 species or morphotypes. The number of species collected at each location ranged from 1 to 13, with a median of 7.0 species. Estimated fish biomass density at individual stations ranged from &lt;0.1 to 125.7 kg per ha with a lakewide mean of 7.6 kg per ha. Offshore bottom trawls collected 30,342 fish represented by 13 species or morphotypes. Estimated fish biomass density at individual stations ranged from 1.6 to 34.7 kg per ha with a lakewide mean of 9.1 kg per ha, which was the highest since the offshore survey began in 2011. Lakewide average numerical densities (fish per ha) of age-1 fish were 0.67 per ha for Bloater, 0.01 per ha for Cisco, 1.15 per ha for Kiyi, 0.95 per ha for Lake Whitefish, and 336.33 per ha for Rainbow Smelt. Surface trawling collected 1,562 larval <i>Coregonus</i> individuals which was the fewest <i>Coregonus</i> larvae collected in a whole lake survey since the larval fish survey began in 2014. Nearshore mean larval <i>Coregonus</i> numerical densities were 156 fish per ha in May and June 2025 and 21 fish per ha in July 2025. May mean surface water temperatures (6.1°C) were near the warmest for the period-of-record, while June (6.8°C) and July (10.0°C) were near average or below. &nbsp;</p>","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"Watson, N.M., Field, I.I., Myers, J.T., and Yule, D., 2026, Status and trends in the Lake Superior fish community, 2025, 24 p.","productDescription":"24 p.","ipdsId":"IP-186792","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":502195,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://glfc.org/publication-media-search.php"},{"id":502198,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n       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0000-0002-9424-7615 nwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-9424-7615","contributorId":5853,"corporation":false,"usgs":true,"family":"Watson","given":"Nicole","email":"nwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":958728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Field, Isabel I. 0009-0002-2033-465X","orcid":"https://orcid.org/0009-0002-2033-465X","contributorId":369276,"corporation":false,"usgs":false,"family":"Field","given":"Isabel","middleInitial":"I.","affiliations":[{"id":78526,"text":"Student Services Contractor","active":true,"usgs":false}],"preferred":false,"id":958729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Myers, Jared Thomas 0009-0004-9362-8792","orcid":"https://orcid.org/0009-0004-9362-8792","contributorId":363104,"corporation":false,"usgs":true,"family":"Myers","given":"Jared","middleInitial":"Thomas","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":958730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Yule, Daniel L. 0000-0002-0117-5115 dyule@usgs.gov","orcid":"https://orcid.org/0000-0002-0117-5115","contributorId":139532,"corporation":false,"usgs":true,"family":"Yule","given":"Daniel","email":"dyule@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":958731,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70274798,"text":"70274798 - 2026 - Creating usable science: A Southwest Climate Adaptation Science Center study","interactions":[],"lastModifiedDate":"2026-04-09T15:56:55.233625","indexId":"70274798","displayToPublicDate":"2026-03-31T08:45:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23799,"text":"Earth Stewardship","active":true,"publicationSubtype":{"id":10}},"title":"Creating usable science: A Southwest Climate Adaptation Science Center study","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>The southwestern United States consists of diverse ecosystems that are experiencing increasing pressures from rising temperatures, increasing aridity, and sea level rise. To prepare this region for future uncertainty, there is a need for strong partnerships among researchers and societal partners. The Southwest Climate Adaptation Science Center (SW CASC) acts to foster engaged scholarship from diverse perspectives to produce science relevant for management and policy decisions. Here, we synthesized a subset of SW CASC-funded projects and published manuscripts to illustrate how the combination of new scientific knowledge and the research and practice of engaged scholarship produce actionable science with direct societal impacts. In the&nbsp;</span><i>SW CASC Contributions to Regional Science</i><span>&nbsp;section, we touch on new research produced from funded projects on the most common topics: (1) Forest Ecosystems, (2) Coastal Ecosystems, (3) Hydrometeorology, and (4) Research on Engaged Scholarship. In the&nbsp;</span><i>SW CASC Contributions to Regional Impacts</i><span>&nbsp;section, we outline engaged scholarship activities to demonstrate how they created societal impacts: (1) the Keepers of the Flame course and workshops, (2) the Southwest Fire Climate Adaptation Partnership and the Southern California Montane Forests Project, (3) the Coastal Managers Workshop, (4) the Colorado River Basin Wiki, and (5) the Natural Resource Workforce Development Program. In the&nbsp;</span><i>SW CASC Publications Cited in Policy</i><span>&nbsp;section, we used a bibliometric analysis to assess the impact of the SW CASC-funded research on policy. We analyzed how often publications were used in policy documents, finding a citation rate of 27.6%. This is high compared to similar analyses that found peer-reviewed research articles cited at a rate of 3.9% in policy documents. We conclude that coproduced science makes unique and important contributions to the resilience of the Southwest, not only by generating new knowledge but by building capacity, creating lasting relationships, and informing policy and conservation and management decisions.</span></span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eas2.70037","usgsCitation":"Bailey, K.C., Hu, J., Meadow, A.M., McAfee, S.A., Gershunov, A., Enquist, C.A., Cayan, D., MIddleton Manning, B.R., Fard, E., MacDonald, G., Garfin, G.M., Baker, M., Huntly, N., and Ambroase, R.F., 2026, Creating usable science: A Southwest Climate Adaptation Science Center study: Earth Stewardship, v. 3, no. 2, e70037, 15 p., https://doi.org/10.1002/eas2.70037.","productDescription":"e70037, 15 p.","ipdsId":"IP-171228","costCenters":[{"id":41166,"text":"Southwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":502500,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eas2.70037","text":"Publisher Index Page"},{"id":502363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","otherGeospatial":"southwestern United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.89351322705869,\n              42.048326803971875\n            ],\n            [\n              -124.68403091833568,\n              38.080739603132955\n            ],\n            [\n              -118.55974126761875,\n              32.30184055949616\n            ],\n            [\n              -115.13806752623753,\n              32.602216678333846\n            ],\n            [\n              -111.33435937476183,\n              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0000-0001-8210-8370","orcid":"https://orcid.org/0000-0001-8210-8370","contributorId":369578,"corporation":false,"usgs":true,"family":"Bailey","given":"Kinzie","middleInitial":"Cherrel","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":959156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hu, Jia","contributorId":146750,"corporation":false,"usgs":false,"family":"Hu","given":"Jia","affiliations":[],"preferred":false,"id":959157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meadow, Alison M.","contributorId":369579,"corporation":false,"usgs":false,"family":"Meadow","given":"Alison","middleInitial":"M.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":959158,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McAfee, Stephanie Anne 0000-0002-9313-5857","orcid":"https://orcid.org/0000-0002-9313-5857","contributorId":343458,"corporation":false,"usgs":true,"family":"McAfee","given":"Stephanie","middleInitial":"Anne","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":959159,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gershunov, Alexandder","contributorId":369580,"corporation":false,"usgs":false,"family":"Gershunov","given":"Alexandder","affiliations":[{"id":87850,"text":"Scripps Institution of Oceanography, University of California San Diego,","active":true,"usgs":false}],"preferred":false,"id":959160,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Enquist, Carolyn Armstrong 0000-0001-6677-7064","orcid":"https://orcid.org/0000-0001-6677-7064","contributorId":244370,"corporation":false,"usgs":true,"family":"Enquist","given":"Carolyn","email":"","middleInitial":"Armstrong","affiliations":[{"id":41166,"text":"Southwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":959161,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cayan, Daniel","contributorId":213044,"corporation":false,"usgs":false,"family":"Cayan","given":"Daniel","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":959162,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"MIddleton Manning, Beth Rose","contributorId":369581,"corporation":false,"usgs":false,"family":"MIddleton Manning","given":"Beth","middleInitial":"Rose","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":959163,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fard, Elizabeth","contributorId":331463,"corporation":false,"usgs":false,"family":"Fard","given":"Elizabeth","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":959164,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"MacDonald, Geln","contributorId":369582,"corporation":false,"usgs":false,"family":"MacDonald","given":"Geln","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":959165,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Garfin, Gregg M.","contributorId":205905,"corporation":false,"usgs":false,"family":"Garfin","given":"Gregg","email":"","middleInitial":"M.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":959166,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Baker, Michelle","contributorId":247639,"corporation":false,"usgs":false,"family":"Baker","given":"Michelle","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":959167,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Huntly, Nancy","contributorId":108359,"corporation":false,"usgs":true,"family":"Huntly","given":"Nancy","email":"","affiliations":[],"preferred":false,"id":959170,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Ambroase, Richard F.","contributorId":369585,"corporation":false,"usgs":false,"family":"Ambroase","given":"Richard","middleInitial":"F.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":959168,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70275572,"text":"70275572 - 2026 - Multiscale resource selection for a reintroduced elk population","interactions":[],"lastModifiedDate":"2026-05-05T13:42:44.173006","indexId":"70275572","displayToPublicDate":"2026-03-31T08:44:44","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5762,"text":"Animals","active":true,"publicationSubtype":{"id":10}},"title":"Multiscale resource selection for a reintroduced elk population","docAbstract":"<p><span>Patterns of resource selection are driven by the decision-making processes of animals occurring at multiple scales from where to establish a home range (i.e., second order selection) to which resource patches to use within the home range (i.e., third order selection). Elk (</span><i><span class=\"html-italic\">Cervus canadensis</span></i><span>) were reintroduced to southwestern Virginia, USA, from 2012 to 2014 following successful translocations onto reclaimed surface coal mines in the region. We sought to understand how elk have acclimated following their translocation using location data from GPS-collared adult female elk (</span><i><span class=\"html-italic\">n</span></i><span>&nbsp;= 33) collected from 2019 to 2022 along with remotely sensed terrain and land cover data. We utilized continuous-time movement models paired with generalized linear mixed-effects modeling to describe seasonal resource selection at second and third orders. At both scales of selection and throughout the year, female elk selected reclaimed surface mines, conifer forests, ridgetops, and areas with lower terrain roughness, while avoiding mixed hardwood and oak (</span><i><span class=\"html-italic\">Quercus</span></i><span>&nbsp;spp.) forests. Unmined open land was only selected at the third order during periods of forage scarcity (i.e., winter) and increased metabolic requirements (i.e., late gestation). Although surface coal mining leaves legacy environmental impacts on the landscape, management of these sites provides benefits to elk and maintains open habitat that is otherwise limited.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/ani16071076","usgsCitation":"Quinlan, B.A., Jesmer, B.R., Rosenberger, J.P., Ford, W., and Cherry, M.J., 2026, Multiscale resource selection for a reintroduced elk population: Animals, v. 16, no. 7, 1076, 30 p., https://doi.org/10.3390/ani16071076.","productDescription":"1076, 30 p.","ipdsId":"IP-185669","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":504192,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani16071076","text":"Publisher Index Page"},{"id":503943,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"southwestern Virginia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.42546273529581,\n              36.723127621735415\n            ],\n            [\n              -83.42546273529581,\n              36.59262364526336\n            ],\n            [\n              -82.85348518624994,\n              36.59262364526336\n            ],\n            [\n              -82.85348518624994,\n              36.723127621735415\n            ],\n            [\n              -83.42546273529581,\n              36.723127621735415\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"7","noUsgsAuthors":false,"publicationDate":"2026-04-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Quinlan, Braiden A.","contributorId":371042,"corporation":false,"usgs":false,"family":"Quinlan","given":"Braiden","middleInitial":"A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":960918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jesmer, Brett R.","contributorId":371043,"corporation":false,"usgs":false,"family":"Jesmer","given":"Brett","middleInitial":"R.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":960919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberger, Jacalyn P.","contributorId":371044,"corporation":false,"usgs":false,"family":"Rosenberger","given":"Jacalyn","middleInitial":"P.","affiliations":[{"id":56188,"text":"Virginia Department of Wildlife Resources","active":true,"usgs":false}],"preferred":false,"id":960920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":false,"id":960921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cherry, Michael J.","contributorId":371045,"corporation":false,"usgs":false,"family":"Cherry","given":"Michael","middleInitial":"J.","affiliations":[{"id":13724,"text":"Texas A&M University-Kingsville","active":true,"usgs":false}],"preferred":false,"id":960922,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70275061,"text":"70275061 - 2026 - Investigating the influence of climate and volcanic surface aging on fluvial erosion: A case study of Réunion Island, Indian Ocean","interactions":[],"lastModifiedDate":"2026-04-14T16:22:21.066781","indexId":"70275061","displayToPublicDate":"2026-03-31T08:25:14","publicationYear":"2026","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":"Investigating the influence of climate and volcanic surface aging on fluvial erosion: A case study of Réunion Island, Indian Ocean","docAbstract":"<p><span>Precipitation is one of the dominant drivers of landscape erosion and evolution; however, the effects of typical rainfall compared with less frequent, high-magnitude precipitation events on erosion remain unclear. Volcanic islands are ideal locations to study such phenomena due to their simple geometries, nontectonic construction, and strong spatiotemporal rainfall gradients. However, spatial variation in surface age, created during their construction, often complicates their degradation histories by introducing temporal changes in erosion rates as drainage networks develop. Réunion Island (western Indian Ocean) presents a clear example of this, with an east–west gradient in both surface age and mean annual precipitation, as well as infrequent cyclones that alter the background rainfall pattern. In this study, we analyze the effects of surface age, average rainfall, and rainfall variability on basin development and fluvial erosion across the island. We calculate basin-averaged values of basin morphology, age, precipitation, river discharge, eroded volumes, and erosion rates, and use these to analyze the dominant drivers of landscape evolution through a series of correlation analyses. Our results indicate a temporal dependence on the influence of precipitation, with young surfaces being dominantly eroded by high-rainfall events and older surfaces eroded by mean annual rainfall patterns. Furthermore, we show that drainage development of shield volcanoes follows similar trends to other volcano types, and suggest that surface permeability and groundwater structure are important controls on runoff-driven erosion on shield volcanoes. These results add new components to the question of how precipitation impacts erosion.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/esp.70269","usgsCitation":"O'hara, D.J., Gourbet, L., Michon, L., and Famin, V., 2026, Investigating the influence of climate and volcanic surface aging on fluvial erosion: A case study of Réunion Island, Indian Ocean: Earth Surface Processes and Landforms, v. 51, no. 4, e70269, 18 p., https://doi.org/10.1002/esp.70269.","productDescription":"e70269, 18 p.","ipdsId":"IP-178684","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":503007,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.70269","text":"Publisher Index Page"},{"id":502787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"France","otherGeospatial":"Réunion Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              54.93737379632691,\n              -20.716722006718115\n            ],\n            [\n              54.93737379632691,\n              -21.49104985317473\n            ],\n            [\n              56.05730973942627,\n              -21.49104985317473\n            ],\n            [\n              56.05730973942627,\n              -20.716722006718115\n            ],\n            [\n              54.93737379632691,\n              -20.716722006718115\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"51","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"O'hara, Daniel James 0000-0002-1630-7985","orcid":"https://orcid.org/0000-0002-1630-7985","contributorId":369888,"corporation":false,"usgs":true,"family":"O'hara","given":"Daniel","middleInitial":"James","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":959340,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gourbet, Loraine","contributorId":369890,"corporation":false,"usgs":false,"family":"Gourbet","given":"Loraine","affiliations":[{"id":87880,"text":"Helmholtz Centre Potsdam, GFZ German Research Centre for Geosciences","active":true,"usgs":false}],"preferred":false,"id":959341,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michon, Laurent","contributorId":369891,"corporation":false,"usgs":false,"family":"Michon","given":"Laurent","affiliations":[{"id":87881,"text":"Université de La Réunion, Laboratoire GéoSciences Réunion","active":true,"usgs":false}],"preferred":false,"id":959342,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Famin, Vincent","contributorId":369893,"corporation":false,"usgs":false,"family":"Famin","given":"Vincent","affiliations":[{"id":87881,"text":"Université de La Réunion, Laboratoire GéoSciences Réunion","active":true,"usgs":false}],"preferred":false,"id":959343,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70275764,"text":"70275764 - 2026 - Challenges and opportunities for national-scale projections of future coastal landscape change","interactions":[],"lastModifiedDate":"2026-05-18T14:55:52.325001","indexId":"70275764","displayToPublicDate":"2026-03-31T07:41:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Challenges and opportunities for national-scale projections of future coastal landscape change","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Local to global scale projections of future coastal landscape change are essential to improve land and resource management decisions that aim to prepare for and reduce risk exposure to impending coastal hazards. However, the availability of actionable knowledge is often limited due to the complexity of drivers of change, their consequences, and uncertainties that span disciplines. Varying spatial and temporal scales of physical processes that occur on landscapes with differing levels of coastal development and modification complicate decision-making. This paper reviews advances in observational approaches, modeling, and quantification of uncertainty to support the next generation of coastal change projections. We also highlight transdisciplinary opportunities for making this information more accessible and useful to support decision-making in the coastal zone. This includes consideration of different levels of user engagement to address specific needs, as well as resources and mechanisms that can support knowledge transfer broadly. A central recommendation is the development of a coordinated framework to support research integration including three components: accounting for relevant drivers, processes, and feedbacks; working with users to identify their information needs; and generating meaningful projections and uncertainty. Actions that would support such frameworks include the evaluation of models through coordinated research approaches and multi-model comparisons; ongoing investments in observations and data-driven approaches necessary to understand this complex environment; expansion of modeling capabilities using novel techniques; prioritization of co-development efforts between researchers and users; and continued training and support for transdisciplinary research.</span></span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024EF005833","usgsCitation":"Lentz, E.E., Passeri, D.L., Zeigler, S.L., White, K., Wahl, T., Stoltz, A.D., Pendleton, E.A., Misra, S., Meckley, T.D., Hamlington, B., Ganju, N., Cravens, A.E., Carr, J., and Buckel, C.A., 2026, Challenges and opportunities for national-scale projections of future coastal landscape change: Earth's Future, v. 14, no. 4, e2024EF005833, 33 p., https://doi.org/10.1029/2024EF005833.","productDescription":"e2024EF005833, 33 p.","ipdsId":"IP-173968","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":504644,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024ef005833","text":"Publisher Index Page"},{"id":504476,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Alaska, California, Florida, New York","otherGeospatial":"Barter Island, Cabo San Lucas, Cedar Key National Wildlife Refuge, Merrit Island National Wildlife Refuge, Point Reyes National Seashore","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.88491001760781,\n              69.93310481002823\n            ],\n            [\n              -122.88491001760781,\n              69.68543873810822\n            ],\n            [\n              -121.06916016659827,\n              69.68543873810822\n            ],\n            [\n              -121.06916016659827,\n              69.93310481002823\n            ],\n            [\n              -122.88491001760781,\n              69.93310481002823\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123.06822524183795,\n              38.19543174003894\n            ],\n            [\n              -123.06822524183795,\n              37.94644042903653\n            ],\n            [\n              -122.82070079378443,\n              37.94644042903653\n            ],\n            [\n              -122.82070079378443,\n              38.19543174003894\n            ],\n            [\n              -123.06822524183795,\n              38.19543174003894\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.12177060555926,\n              29.253016615269246\n            ],\n            [\n              -83.12177060555926,\n              29.097809660027494\n            ],\n            [\n              -82.87307439858863,\n              29.097809660027494\n            ],\n            [\n              -82.87307439858863,\n              29.253016615269246\n            ],\n            [\n              -83.12177060555926,\n              29.253016615269246\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.63188940850279,\n              23.47404410351922\n            ],\n            [\n              -110.63188940850279,\n              22.779293589597287\n            ],\n            [\n              -109.21025823793005,\n              22.779293589597287\n            ],\n            [\n              -109.21025823793005,\n              23.47404410351922\n            ],\n            [\n              -110.63188940850279,\n              23.47404410351922\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"4","noUsgsAuthors":false,"plainLanguageSummary":"<p>Producing both detailed and widely available information on how the coast may change in the future is critical for informing proactive strategies that protect communities and places of value. Predicting which areas are likely to become inundated in the future is often a first step; however, understanding other possible changes and where those changes are likely is much more difficult. For example, sea-level rise, storms, and other coastal hazards fundamentally reshape coastal landforms and habitats, such as through the formation of new inlets along beaches or permanent flooding of wetlands. This paper reviews the scientific knowledge, methods, and products currently available to inform what, where, and when future changes might happen, as well as how this information can be developed in coordination with those who need this information to ensure it is useful and meaningful. We also identify challenges that exist in accurately predicting coastal change, opportunities for improvements, and remaining information and data gaps. We conclude by discussing strategies for scientists and intended users to work together across disciplines in a manner that informs research questions and intended products to provide actionable information.</p>","publicationDate":"2026-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Lentz, Erika E. 0000-0002-0621-8954 elentz@usgs.gov","orcid":"https://orcid.org/0000-0002-0621-8954","contributorId":173964,"corporation":false,"usgs":true,"family":"Lentz","given":"Erika","email":"elentz@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Passeri, Davina L. 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961699,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zeigler, Sara L. 0000-0002-5472-769X","orcid":"https://orcid.org/0000-0002-5472-769X","contributorId":222703,"corporation":false,"usgs":true,"family":"Zeigler","given":"Sara","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, Kate","contributorId":371368,"corporation":false,"usgs":false,"family":"White","given":"Kate","affiliations":[{"id":88123,"text":"U.S. Department of Defense","active":true,"usgs":false}],"preferred":false,"id":961701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wahl, Thomas","contributorId":201471,"corporation":false,"usgs":false,"family":"Wahl","given":"Thomas","affiliations":[],"preferred":false,"id":961702,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stoltz, Amanda D. 0000-0003-4656-6125","orcid":"https://orcid.org/0000-0003-4656-6125","contributorId":311692,"corporation":false,"usgs":true,"family":"Stoltz","given":"Amanda","email":"","middleInitial":"D.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":961703,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pendleton, Elizabeth A. 0000-0002-1224-4892 ependleton@usgs.gov","orcid":"https://orcid.org/0000-0002-1224-4892","contributorId":174845,"corporation":false,"usgs":true,"family":"Pendleton","given":"Elizabeth","email":"ependleton@usgs.gov","middleInitial":"A.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961704,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Misra, Shubhra","contributorId":371369,"corporation":false,"usgs":false,"family":"Misra","given":"Shubhra","affiliations":[{"id":88123,"text":"U.S. Department of Defense","active":true,"usgs":false}],"preferred":false,"id":961705,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Meckley, Trevor D.","contributorId":205787,"corporation":false,"usgs":false,"family":"Meckley","given":"Trevor","email":"","middleInitial":"D.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":961706,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hamlington, Ben","contributorId":287420,"corporation":false,"usgs":false,"family":"Hamlington","given":"Ben","affiliations":[{"id":61575,"text":"NASA JPL CalTech","active":true,"usgs":false}],"preferred":false,"id":961707,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":961708,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Cravens, Amanda E. 0000-0002-0271-7967 aecravens@usgs.gov","orcid":"https://orcid.org/0000-0002-0271-7967","contributorId":196752,"corporation":false,"usgs":true,"family":"Cravens","given":"Amanda","email":"aecravens@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":961709,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Carr, Joel 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":220098,"corporation":false,"usgs":true,"family":"Carr","given":"Joel","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":961710,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Buckel, Christine A.","contributorId":371370,"corporation":false,"usgs":false,"family":"Buckel","given":"Christine","middleInitial":"A.","affiliations":[{"id":88126,"text":"NOAA Ocean Service","active":true,"usgs":false}],"preferred":false,"id":961711,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70275352,"text":"70275352 - 2026 - Organic matter integration, overprinting, and the relative fraction of optically active organic carbon in a human-impacted watershed","interactions":[],"lastModifiedDate":"2026-04-30T15:24:31.256329","indexId":"70275352","displayToPublicDate":"2026-03-30T10:17:57","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Organic matter integration, overprinting, and the relative fraction of optically active organic carbon in a human-impacted watershed","docAbstract":"<p><span>Rivers continually integrate terrestrial organic matter (OM) into their waters, in a process that transfers 1.9 Pg C yr</span><sup>–1</sup><span>&nbsp;as the primary linkage between oceanic and terrestrial carbon cycles. Yet rivers are not simple, conservative OM integrators. Patchy local land uses (wetlands, bogs, agriculture) release OM that can disproportionately alter river biogeochemistry and overprint upstream carbon. These releases are quantifiable at the plot scale but remain unpredictable across river reaches and watersheds, critically inhibiting our ability to scale up terrestrial-aquatic linkages to regional/global carbon cycling models. We evaluated OM overprinting distance along a human-influenced watershed to quantify river integration of terrestrial OM and to bridge the quantification gap between habitats and waterway biogeochemistry. We investigated changes in dissolved organic carbon (DOC) concentration and dissolved organic matter (DOM) composition (lignin phenols, fluorescence excitation-emission spectra using parallel factor analysis [PARAFAC], and the relative fraction of optically active DOM [EEM</span><sub>DOC</sub><span>]). DOC concentrations increased continually (</span><i>p</i><span>&nbsp;&lt; 0.001) downstream, from median 1.0 mg L</span><sup>–1</sup><span>&nbsp;at 30 km (headwaters) to 3.3 mg L</span><sup>–1</sup><span>&nbsp;at the river mouth. This rate of increase corresponded to a DOC overprinting distance—the longitudinal distance over which DOC concentrations double—of 13 km. Mainstem DOC overprinting distance ranged from 8 km (winter, rainy season) to 21 km (summer, dry season with irrigation), highlighting stronger overprinting during increased hydraulic connectivity. Stronger overprinting also correlated to higher EEM</span><sub>DOC</sub><span>&nbsp;(</span><i>p</i><span>&nbsp;&lt; 0.001). Overprinting distance effectively quantifies river integration of DOM along the terrestrial-aquatic interface, helping to refine bottom-up carbon cycle estimates, inform upscaling of site-specific fluxes, and to track land use and climate influence on river biogeochemistry.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2020.00067","usgsCitation":"Eckard, R.S., Bergamaschi, B.A., Pellerin, B., Spencer, R.G., Dyda, R.Y., and Hernes, P.J., 2026, Organic matter integration, overprinting, and the relative fraction of optically active organic carbon in a human-impacted watershed: Frontiers in Earth Science, v. 8, 67, 15 p., https://doi.org/10.3389/feart.2020.00067.","productDescription":"67, 15 p.","ipdsId":"IP-099509","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":503792,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2020.00067","text":"Publisher Index Page"},{"id":503682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Willow Slough watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -122.17140579668515,\n              38.80544920025048\n            ],\n            [\n              -121.67942979897973,\n              38.80544920025048\n            ],\n            [\n              -121.67942979897973,\n              38.48406361726251\n            ],\n            [\n              -122.17140579668515,\n              38.48406361726251\n            ],\n            [\n              -122.17140579668515,\n              38.80544920025048\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"8","noUsgsAuthors":false,"publicationDate":"2020-03-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Eckard, Robert S.","contributorId":330177,"corporation":false,"usgs":false,"family":"Eckard","given":"Robert","middleInitial":"S.","affiliations":[{"id":78839,"text":"1Department of Land, Air, and Water Resources, University of California, One Shields Ave., Davis, CA, 95616","active":true,"usgs":false}],"preferred":false,"id":960672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bergamaschi, Brian A. 0000-0002-9610-5581 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0002-9610-5581","contributorId":140776,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":960673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pellerin, Brian A. 0000-0003-3712-7884","orcid":"https://orcid.org/0000-0003-3712-7884","contributorId":204324,"corporation":false,"usgs":true,"family":"Pellerin","given":"Brian A.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":960674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, Robert G.","contributorId":370675,"corporation":false,"usgs":false,"family":"Spencer","given":"Robert","middleInitial":"G.","affiliations":[{"id":88063,"text":"Florida State Univ.","active":true,"usgs":false}],"preferred":false,"id":960675,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dyda, Rachel Y.","contributorId":139732,"corporation":false,"usgs":false,"family":"Dyda","given":"Rachel","email":"","middleInitial":"Y.","affiliations":[{"id":12894,"text":"Department of Land, Air, and Water Resources, University of California, One Shields Avenue, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":960676,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hernes, Peter J.","contributorId":139730,"corporation":false,"usgs":false,"family":"Hernes","given":"Peter","email":"","middleInitial":"J.","affiliations":[{"id":12894,"text":"Department of Land, Air, and Water Resources, University of California, One Shields Avenue, Davis, CA, 95616, USA","active":true,"usgs":false}],"preferred":false,"id":960677,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70275374,"text":"70275374 - 2026 - Impact of fog on California waterfowl flight activity: Historical and modern insights into effects post-Clean Air Act","interactions":[],"lastModifiedDate":"2026-05-01T14:32:54.210945","indexId":"70275374","displayToPublicDate":"2026-03-30T09:29:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1564,"text":"Environmental Science and Pollution Research","active":true,"publicationSubtype":{"id":10}},"title":"Impact of fog on California waterfowl flight activity: Historical and modern insights into effects post-Clean Air Act","docAbstract":"<p><span>Since establishment of the Clean Air Act in the early 1970s, occurrence of the dense ‘Tule Fog’, historically prevalent throughout winter across California’s Central Valley, has substantially reduced. At the same time, waterfowl body masses have generally increased. Flight is metabolically expensive, and fog visually and navigationally impairs birds in flight, likely causing them to remain aloft for longer than usual periods. If less fog results in less flight and reduced energy expenditure, then fewer winter Tule fog events could contribute to increased body masses of California waterfowl since the mid-1980’s. Therefore, we aimed to assess the relationship between waterfowl flight and fog occurrence/density with historic (1991–93) and modern (2015–23) waterfowl tracking data in the Central Valley of California (CCV). Historic tracking data showed that the probability of flight increased with increasing fog density. Birds were significantly more likely to fly in fog than when there was no fog and most likely to fly in heavy fog</span><i>.</i><span>&nbsp;Modern data showed similar responses to fog with flight occurring significantly more during dawn fog events. This relationship between improved waterfowl body mass and fewer fog events may provide an opportunity to redirect scarce funding to focus on other population requirements such as improving habitats for nesting, molting and brood rearing that are currently lacking. Unanticipated benefits of the Clean Air Act should stand as a strong recommendation to maintaining this Act into the future.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s11356-026-37659-2","usgsCitation":"McDuie, F., Overton, C.T., Lorenz, A.A., Donnelly, J.P., Mackell, D.A., Matchett, E., Petrie, M.J., and Casazza, M.L., 2026, Impact of fog on California waterfowl flight activity: Historical and modern insights into effects post-Clean Air Act: Environmental Science and Pollution Research, v. 33, p. 6095-6104, https://doi.org/10.1007/s11356-026-37659-2.","productDescription":"10 p.","startPage":"6095","endPage":"6104","ipdsId":"IP-174620","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":504160,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11356-026-37659-2","text":"Publisher Index Page"},{"id":504061,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14UBHN2","text":"USGS data release","linkHelpText":"Waterfowl Tracking VHF and GPS Data Relative to Sacramento Delta Fog and Clean Air Act"},{"id":503884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Patrick","contributorId":370783,"corporation":false,"usgs":false,"family":"Donnelly","given":"J.","middleInitial":"Patrick","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":960767,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mackell, Desmond A.","contributorId":370784,"corporation":false,"usgs":false,"family":"Mackell","given":"Desmond","middleInitial":"A.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":960768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Matchett, Elliott 0000-0001-5095-2884 ematchett@usgs.gov","orcid":"https://orcid.org/0000-0001-5095-2884","contributorId":5541,"corporation":false,"usgs":true,"family":"Matchett","given":"Elliott","email":"ematchett@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960769,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Petrie, Mark J.","contributorId":214396,"corporation":false,"usgs":false,"family":"Petrie","given":"Mark","email":"","middleInitial":"J.","affiliations":[{"id":36215,"text":"Ducks Unlimited","active":true,"usgs":false}],"preferred":false,"id":960770,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Casazza, Michael L. 0000-0002-5636-735X","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":370785,"corporation":false,"usgs":false,"family":"Casazza","given":"Michael","middleInitial":"L.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":960771,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70276260,"text":"70276260 - 2026 - Evaluating ichthyoplankton sampling as an effective method for early detection of novel aquatic invasive species in large bays of western Lake Erie","interactions":[],"lastModifiedDate":"2026-05-21T14:28:36.681695","indexId":"70276260","displayToPublicDate":"2026-03-30T09:20:15","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating ichthyoplankton sampling as an effective method for early detection of novel aquatic invasive species in large bays of western Lake Erie","docAbstract":"Early detection and monitoring are critically important for effective management of invasive species in the Laurentian Great Lakes. Specifically, Lake Erie is at high-risk for aquatic invasive species introductions due to many factors such as shoreline development, warm water temperatures, and transoceanic shipping traffic. Rare species captured are often used as a surrogate to assess sampling effectiveness for new or rare invasive species in vulnerable areas, such as Maumee and Sandusky bays of western Lake Erie. We compared species catches from multiple larval fish collection methods to those from adult and juvenile fish sampling.  The specific objectives of this study were to: 1) evaluate the effectiveness of larval fish sampling for aquatic invasive species early detection in two bays of western Lake Erie: Maumee Bay and Sandusky Bay; 2) evaluate the effectiveness of passive and active sampling techniques at capturing different larval fish taxa; and 3) compare effectiveness of larval sampling techniques to juvenile and adult fish sampling methods for detecting new and rare species.  While no new non-native species were captured during the study, we found that larval fish sampling techniques were not effective for detecting new or rare species but could be used with other life-stage sampling. Active sampling with bongo nets was more effective than light trap sampling, capturing a higher number of individuals and taxa. Juvenile and adult fish sampling methods provided higher precision in fish identification without the use of genetic tools. Because of the finer taxonomic resolution possible when identifying juvenile and adult fishes, sampling for adult and juveniles was found to be more robust and reliable for early detection of new and rare species compared to larval fish sampling. However, larval fish sampling can still be appropriate depending on study goals and objectives or as emerging technologies allow for greater taxonomic resolution of sampled fish.","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre","doi":"10.3391/mbi.2026.17.2.06","usgsCitation":"Bowser, J.L., VanScoyoc, H.N., DeBruyne, R.L., and Briggs, A.S., 2026, Evaluating ichthyoplankton sampling as an effective method for early detection of novel aquatic invasive species in large bays of western Lake Erie: Management of Biological Invasions, v. 17, no. 2, p. 307-323, https://doi.org/10.3391/mbi.2026.17.2.06.","productDescription":"17 p.","startPage":"307","endPage":"323","ipdsId":"IP-171304","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":504660,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/mbi.2026.17.2.06","text":"Publisher Index Page"},{"id":504596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan, Ohio","otherGeospatial":"Lake Erie, Maumee Bay, Sandusky Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.07569836418517,\n              41.5406832\n            ],\n            [\n              -82.6540816,\n              41.5406832\n            ],\n            [\n              -82.6540816,\n              41.40441006985671\n            ],\n            [\n              -83.07569836418517,\n              41.40441006985671\n            ],\n            [\n              -83.07569836418517,\n              41.5406832\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -83.52857590080069,\n              41.8391693\n            ],\n            [\n              -83.2953354,\n              41.8391693\n            ],\n            [\n              -83.2953354,\n              41.66812739989777\n            ],\n            [\n              -83.52857590080069,\n              41.66812739989777\n            ],\n            [\n              -83.52857590080069,\n              41.8391693\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-03-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Bowser, Jessica L.","contributorId":371449,"corporation":false,"usgs":false,"family":"Bowser","given":"Jessica","middleInitial":"L.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":961848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"VanScoyoc, Haley N","contributorId":371450,"corporation":false,"usgs":false,"family":"VanScoyoc","given":"Haley","middleInitial":"N","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":961849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeBruyne, Robin L. 0000-0002-9232-7937 rdebruyne@usgs.gov","orcid":"https://orcid.org/0000-0002-9232-7937","contributorId":4936,"corporation":false,"usgs":true,"family":"DeBruyne","given":"Robin","email":"rdebruyne@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":961850,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Briggs, Andrew S.","contributorId":371451,"corporation":false,"usgs":false,"family":"Briggs","given":"Andrew","middleInitial":"S.","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":961851,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70275026,"text":"70275026 - 2026 - Visioning ecologically diverse and harmonious futures of Korea in Good Anthropocene","interactions":[],"lastModifiedDate":"2026-05-07T15:54:49.704504","indexId":"70275026","displayToPublicDate":"2026-03-30T08:38:47","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5936,"text":"People and Nature","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Visioning ecologically diverse and harmonious futures of Korea in <i>Good Anthropocene</i>","title":"Visioning ecologically diverse and harmonious futures of Korea in Good Anthropocene","docAbstract":"<p>1.The Korean Demilitarized Zone (DMZ), a buffer between North and South Korea, holds profound historical, cultural and ecological significance, as well as exceptional potential for conservation and transformation. This study explores ecologically diverse and peaceful futures for the Korean Peninsula by envisioning the DMZ as a landscape for harmonious human–nature co-existence. </p><p>2.Using the <i>Nature Futures Framework</i> (<i>NFF</i>) and the <i>Seeds of Good Anthropocenes</i> (<i>SoGA</i>) approach, we co-developed four ‘Living in Harmony with Nature’ visions that reflect diverse values and meanings of nature for sustainable and well-being oriented futures in Korea. </p><p>3.These visions emphasize balancing human activities with ecological integrity, reimagining the DMZ as a space for peace, restoration and shared stewardship. They express citizens' perspectives on aspirational and inclusive futures, highlighting existing initiatives as levers for change and intersectoral and interdisciplinary collaboration as key enabling conditions.&nbsp;</p><p>4.This visioning process demonstrates the role of the science-policy-society interface, diverse stakeholder engagement and integration of history, culture and social cohesion. This paper reflects on the lessons from this process and discusses implications for future scenario development—particularly how a whole-of-society approach can help identify policy options and societal transformations that advance nature–people-positive futures in Korea and beyond.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1002/pan3.70296","usgsCitation":"Kim, H., Peterson, G., Kim, H., Lee, H., Yeo, M., Cho, Y., Harrison, P.A., Jin, G., Kang, B., Kim, J., Kim, S., Koo, K.A., Miller, B.W., Pereira, L.M., Ahn, S., Gwon, L., Im, J., Lee, S., Park, C., Park, J., Park, S., Yoon, Y., Yun Choe, Y., Im, M., and Choe, J., 2026, Visioning ecologically diverse and harmonious futures of Korea in Good Anthropocene: People and Nature, v. 8, no. 5, p. 1379-1402, https://doi.org/10.1002/pan3.70296.","productDescription":"24 p.","startPage":"1379","endPage":"1402","ipdsId":"IP-173312","costCenters":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":502750,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":503002,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/pan3.70296","text":"Publisher Index Page"}],"country":"North Korea, South Korea","otherGeospatial":"Korean Peninsula","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              125.52553851621116,\n              38.69785892269354\n            ],\n            [\n              125.52553851621116,\n              37.833126689315165\n            ],\n            [\n              128.84076585126866,\n              37.833126689315165\n            ],\n            [\n              128.84076585126866,\n              38.69785892269354\n            ],\n   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University","active":true,"usgs":false}],"preferred":false,"id":959228,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Hanvit","contributorId":369816,"corporation":false,"usgs":false,"family":"Lee","given":"Hanvit","affiliations":[{"id":87854,"text":"Rurban Network","active":true,"usgs":false}],"preferred":false,"id":959229,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yeo, Miyoung","contributorId":369817,"corporation":false,"usgs":false,"family":"Yeo","given":"Miyoung","affiliations":[{"id":87855,"text":"Institute for Green Transformation","active":true,"usgs":false}],"preferred":false,"id":959230,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cho, Youngcheol","contributorId":369818,"corporation":false,"usgs":false,"family":"Cho","given":"Youngcheol","affiliations":[{"id":87856,"text":"Gyeonggi Provincial Government, Peace Cooperation 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,{"id":70274700,"text":"70274700 - 2026 - Widespread occurrence of Magnéli phases in wildland-urban interface fire ashes","interactions":[],"lastModifiedDate":"2026-04-20T15:59:51.168535","indexId":"70274700","displayToPublicDate":"2026-03-29T09:34:25","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23787,"text":"Environmental Science and Technology.","active":true,"publicationSubtype":{"id":10}},"title":"Widespread occurrence of Magnéli phases in wildland-urban interface fire ashes","docAbstract":"<p><span>The increasing activity of wildland–urban interface (WUI) fires has raised concerns regarding the potential environmental and human health impacts of residual ash remaining after burning. In this study, we investigated the concentration and speciation of titanium in WUI fire ash. Total titanium concentrations in WUI fire ash ranged from 0.53 to 80 g kg</span><sup>–1</sup><span>. Synchrotron-based macro- and microscale X-ray absorption near-edge structure (XANES and μXANES, respectively) spectroscopy were used to quantify the relative abundance of major Ti phases in the fire ash, and the results were corroborated by high resolution-transmission electron microscopy (HR-TEM) measurements. Rutile (α-TiO</span><sub>2</sub><span>), anatase (β-TiO</span><sub>2</sub><span>), ilmenite (FeTiO</span><sub>3</sub><span>), and titanium(III) oxide (Ti</span><sub>2</sub><span>O</span><sub>3</sub><span>) were detected in all 20 ashes investigated by XANES and accounted for 0.26–0.83, 0.19–0.83, 0.33, and 0.17–0.72 of the spectral weight, respectively. Deeper analysis by μXANES of one sample demonstrated that Ti-bearing particles occurred as a mixture of rutile (α-TiO</span><sub>2</sub><span>), anatase (β-TiO</span><sub>2</sub><span>), ilmenite (FeTiO</span><sub>3</sub><span>), and titanium(III) oxide Ti</span><sub>2</sub><span>O</span><sub>3,</sub><span>&nbsp;with the absence of a pure Ti</span><sub>2</sub><span>O</span><sub>3</sub><span>&nbsp;phase. The presence of Ti</span><sub>2</sub><span>O</span><sub>3</sub><span>&nbsp;in the WUI fire ash is ascribed to the reduction of rutile and anatase to Magnéli titania (Ti</span><sub><i>n</i></sub><span>O</span><sub>2<i>n–</i>1</sub><span>,&nbsp;</span><i>n</i><span>&nbsp;= 4–9), which is estimated to be the dominant phase of titanium in the 20 WUI fire ashes investigated by XANES. The occurrence of Magnéli titania was corroborated by HR-TEM. Our findings demonstrate the impact of WUI fires on titanium speciation; fires convert titanium dioxides (e.g., rutile and anatase) to reduced titanium phases (e.g., Magnéli titania). Based on HR-TEM analyses, most of the titanium-bearing particles were less than 500 nm in size. Magnéli particles have been shown to be more toxic than rutile and anatase and have been linked to reduced lung function. Therefore, this study provides critical insights into the pollution characteristics and potential health risks of WUI fire ashes and associated particles, which are currently poorly understood.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c09885","usgsCitation":"Baalousha, M., Desmau, M., Colina-Ruiz, R.A., Lanzirotti, A., Singerling, S., Stern, M.A., and Alpers, C.N., 2026, Widespread occurrence of Magnéli phases in wildland-urban interface fire ashes: Environmental Science and Technology., v. 60, no. 14, p. 10982-10990, https://doi.org/10.1021/acs.est.5c09885.","productDescription":"9 p.","startPage":"10982","endPage":"10990","ipdsId":"IP-181072","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":502203,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502227,"rank":2,"type":{"id":42,"text":"Open Access USGS 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]\n}","volume":"60","issue":"14","noUsgsAuthors":false,"publicationDate":"2026-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Baalousha, Mohammed 0000-0001-7491-4954","orcid":"https://orcid.org/0000-0001-7491-4954","contributorId":255450,"corporation":false,"usgs":false,"family":"Baalousha","given":"Mohammed","email":"","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":958736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Desmau, Morgane 0000-0002-7828-183X","orcid":"https://orcid.org/0000-0002-7828-183X","contributorId":296283,"corporation":false,"usgs":false,"family":"Desmau","given":"Morgane","email":"","affiliations":[{"id":64009,"text":"Deutsches Elektronen-Synchrotron DESY, Hamburg, Germany","active":true,"usgs":false}],"preferred":false,"id":958737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Colina-Ruiz, Roberto A.","contributorId":369277,"corporation":false,"usgs":false,"family":"Colina-Ruiz","given":"Roberto","middleInitial":"A.","affiliations":[{"id":87751,"text":"Center for Advanced Radiation Sources, The University of Chicago, Argonne, Illinois 60439, United States","active":true,"usgs":false}],"preferred":false,"id":958738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lanzirotti, Antonio 0000-0002-7597-5924","orcid":"https://orcid.org/0000-0002-7597-5924","contributorId":223780,"corporation":false,"usgs":false,"family":"Lanzirotti","given":"Antonio","email":"","affiliations":[{"id":36705,"text":"University of Chicago","active":true,"usgs":false}],"preferred":false,"id":958739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Singerling, Sheryl A. 0000-0001-8639-5039","orcid":"https://orcid.org/0000-0001-8639-5039","contributorId":296284,"corporation":false,"usgs":false,"family":"Singerling","given":"Sheryl A.","affiliations":[{"id":64010,"text":"Virginia Polytechnic Institute and State University, Blacksburg, Virginia","active":true,"usgs":false}],"preferred":false,"id":958740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stern, Michelle A. 0000-0003-3030-7065 mstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3030-7065","contributorId":4244,"corporation":false,"usgs":true,"family":"Stern","given":"Michelle","email":"mstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Alpers, Charles N. 0000-0001-6945-7365 cnalpers@usgs.gov","orcid":"https://orcid.org/0000-0001-6945-7365","contributorId":411,"corporation":false,"usgs":true,"family":"Alpers","given":"Charles","email":"cnalpers@usgs.gov","middleInitial":"N.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958742,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70275066,"text":"70275066 - 2026 - Erosion and transport of sediments in watersheds of southwest Puerto Rico determined from strontium isotopes and mixing models","interactions":[],"lastModifiedDate":"2026-04-14T15:00:38.690057","indexId":"70275066","displayToPublicDate":"2026-03-28T07:51:30","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Erosion and transport of sediments in watersheds of southwest Puerto Rico determined from strontium isotopes and mixing models","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Sediment outflow from streams to coastal regions can adversely affect water quality and the health of ecosystems including Puerto Rico's southwestern carbonate platform with shallow marine communities. Knowledge of sediment provenance and erosional areas would aid effective restoration to reduce excessive sedimentation. Strontium (Sr) isotopic ratios (</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr) can be used to differentiate between sediment eroded into streams from different lithologies, or rock types, and used in mixing models to estimate proportions of source materials in downstream mixtures. The goal of this study was to use Sr isotopes to differentiate between river sediments in drainages with distinct geologies and present a case study where Sr isotope mixing models are used to identify sediment sourcing to Río Loco and Bahía de Guánica, a priority watershed of the U.S. Coral Reefs Task Force. For the Río Loco watershed, model results indicate that serpentinites in the uplands contributed approximately 71&nbsp;% of sediment to Bahía de Guánica. About 21&nbsp;% of sediment was from trachy-andesitic basalts in the foothills, and the remaining 8&nbsp;% originated from sources on the coastal plain. Neither the uppermost headwater region of Río Loco, the Canal Principal De Riego Valle De Lajas, nor the tributary Quebrada Susúa appeared to be significant sources of sediment to Río Loco's mainstem or Bahía de Guánica at the time of the study. Our results demonstrate that sediment from the serpentinite-bearing areas of Río Loco watershed was effectively transported to the lowlands, which then discharge into Guánica Bay, and highlight the potential use of Sr isotopes as tracers of sediment provenance. This will, in turn, enable better science-based restoration efforts aimed at reducing terrestrial sediment erosion and impacts to marine ecosystems.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2025.106591","usgsCitation":"Reyes, A.O., Takesue, R.K., and Storlazzi, C.D., 2026, Erosion and transport of sediments in watersheds of southwest Puerto Rico determined from strontium isotopes and mixing models: Applied Geochemistry, v. 203, 106591, 14 p., https://doi.org/10.1016/j.apgeochem.2025.106591.","productDescription":"106591, 14 p.","ipdsId":"IP-153461","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":503004,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2025.106591","text":"Publisher Index Page"},{"id":502778,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Puerto Rico","otherGeospatial":"southwest Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -67.0750417291512,\n              18.053791883414306\n            ],\n            [\n              -67.0750417291512,\n              17.914150551211762\n            ],\n            [\n              -66.89154889897623,\n              17.914150551211762\n            ],\n            [\n              -66.89154889897623,\n              18.053791883414306\n            ],\n            [\n              -67.0750417291512,\n              18.053791883414306\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"203","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Reyes, Aaron O.","contributorId":369902,"corporation":false,"usgs":false,"family":"Reyes","given":"Aaron","middleInitial":"O.","affiliations":[{"id":52630,"text":"Westfield State University","active":true,"usgs":false}],"preferred":false,"id":959348,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Takesue, Renee K. 0000-0003-1205-0825 rtakesue@usgs.gov","orcid":"https://orcid.org/0000-0003-1205-0825","contributorId":214915,"corporation":false,"usgs":true,"family":"Takesue","given":"Renee","email":"rtakesue@usgs.gov","middleInitial":"K.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":959349,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":959351,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70274248,"text":"ofr20261068 - 2026 - Data-collection methods for total dissolved gases monitoring, Youghiogheny River at Dam Outlet Tunnel near Confluence, Pennsylvania","interactions":[],"lastModifiedDate":"2026-04-03T17:28:39.825034","indexId":"ofr20261068","displayToPublicDate":"2026-03-27T14:15:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-1068","displayTitle":"Data-Collection Methods for Total Dissolved Gases Monitoring, Youghiogheny River at Dam Outlet Tunnel Near Confluence, Pennsylvania","title":"Data-collection methods for total dissolved gases monitoring, Youghiogheny River at Dam Outlet Tunnel near Confluence, Pennsylvania","docAbstract":"<p>Supersaturation of total dissolved gases (TDG) can potentially occur in the tailrace water at the Youghiogheny River at dam outlet tunnel near Confluence, Pennsylvania (U.S. Geological Survey [USGS] streamgaging and monitoring station 03077100). The USGS, in cooperation with the U.S. Army Corps of Engineers, established methods to collect and report TDG saturation data in the tailrace below the Youghiogheny Dam. Monitoring and TDG data collection started in June 2008 and continues currently (2025). Data are collected from June 1 through November 30 of each year, and these data are used by the U.S. Army Corps of Engineers to guide management of the dam outflow. Methods used for data collection, processing, reporting, and quality assurance for TDG monitored at USGS station 03077100 are presented in this report. The TDG data are publicly available in the USGS National Water Information System database.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261068","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers Pittsburgh District","usgsCitation":"Ruddy, A.J., Woodward, E.E., and Casile, G.C., 2026, Data-collection methods for total dissolved gases monitoring, Youghiogheny River at Dam Outlet Tunnel near Confluence, Pennsylvania: U.S. Geological Survey Open-File Report 2026–1068, 14 p., https://doi.org/10.3133/ofr20261068.","productDescription":"Report: v, 14 p.; Dataset","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-164097","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":502175,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119335.htm","linkFileType":{"id":5,"text":"html"}},{"id":501320,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"U.S. Geological Survey National Water Information System database","linkHelpText":"- USGS 03077100 Youghiogheny R at dam outlet tunnel nr Confluence, in USGS water data for the Nation"},{"id":501319,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1068/images/"},{"id":501318,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1068/ofr20261068.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2026-1068 XML"},{"id":501317,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20261068/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2026-1068 HTML"},{"id":501316,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1068/ofr20261068.pdf","size":"2.83 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1068 PDF"},{"id":501315,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1068/coverthb.jpg"}],"country":"United States","state":"Pennsylvania","city":"Confluence","otherGeospatial":"Youghiogheny River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.35338805072584,\n              39.814823121451155\n            ],\n            [\n              -79.37828904728073,\n              39.814823121451155\n            ],\n            [\n              -79.37828904728073,\n              39.79172700829372\n            ],\n            [\n              -79.35338805072584,\n              39.79172700829372\n            ],\n            [\n              -79.35338805072584,\n              39.814823121451155\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://usgs.gov/centers/pa-water\" data-mce-href=\"https://usgs.gov/centers/pa-water\">Pennsylvania Water Science Center</a><br>U.S. Geological Survey<br>215 Limekiln Road<br>New Cumberland, PA 17070</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Plain Language Summary</li><li>Introduction</li><li>Purpose and Scope</li><li>Overview of Total Dissolved Gas</li><li>Methods of Data Collection</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. U.S. Geological Survey Pennsylvania Water Science Center Total Dissolved Gas Pre-Deployment Form</li><li>Appendix 2. U.S. Geological Survey Pennsylvania Water Science Center Total Dissolved Gas Field and Post-Deployment Form</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2026-03-27","noUsgsAuthors":false,"plainLanguageSummary":"<p>The U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, established methods to collect and report total dissolved gases (TDG) saturation data in the tailrace (a channel or pool below a dam where water from the dam is discharged) of the Youghiogheny Dam. Monitoring and TDG data collection started in June 2008 and continues currently (2025). Methods used for data collection, processing, reporting, and quality assurance for TDG monitored at U.S. Geological Survey station 03077100 are presented in this report.</p>","publicationDate":"2026-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruddy, Allan J. 0009-0000-3506-7385","orcid":"https://orcid.org/0009-0000-3506-7385","contributorId":367237,"corporation":false,"usgs":true,"family":"Ruddy","given":"Allan","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957160,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodward, Emily E. 0000-0001-9196-1349 ewoodward@usgs.gov","orcid":"https://orcid.org/0000-0001-9196-1349","contributorId":177364,"corporation":false,"usgs":true,"family":"Woodward","given":"Emily","email":"ewoodward@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957161,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casile, Gerolamo C. 0000-0002-7952-6421","orcid":"https://orcid.org/0000-0002-7952-6421","contributorId":202479,"corporation":false,"usgs":true,"family":"Casile","given":"Gerolamo","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":957162,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70275369,"text":"70275369 - 2026 - The state of the giant sequoias: Losses, risks, and opportunities","interactions":[],"lastModifiedDate":"2026-05-01T14:28:12.366691","indexId":"70275369","displayToPublicDate":"2026-03-27T09:11:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"The state of the giant sequoias: Losses, risks, and opportunities","docAbstract":"<h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Background</h3><p>Giant sequoias, an iconic tree found only in a narrow band along the western slope of the Sierra Nevada of California, are facing unprecedented threats. Despite being adapted to fire and resistant to both drought and insect attack, the species has exhibited signs of vulnerability to these stressors in recent years, with the most substantial impacts coming from wildfire. Recently, several unprecedentedly large and severe fires have resulted in the deaths of many large trees and, in some cases, limited postfire regeneration. These impacts have led to heightened efforts by managers to implement treatments to protect those places that are still vulnerable. Here, we provide a comprehensive, range-wide assessment of the condition of the species, including an evaluation of the trends in wildfire and its effects on large giant sequoia mortality and the potential for local extirpation, treatment patterns, and vulnerability to future fire.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Results</h3><p>From 2015 to 2024, 82% of giant sequoia grove area burned in wildfire, compared to 24% between 1910 and 2014. We conservatively estimate that 17.6% of all large giant sequoias have been killed by wildfire since 1984, with most dying in 2020 and 2021. Due to very severe wildfire, roughly 13% of the range is at some risk of local extirpation due to the loss of mature trees and limited predicted regeneration. Treatment activity has increased since 1995, with treatment type and amount varying by jurisdiction. The combination of treatment and wildfire has created a mosaic of resistance to severe fire, with 26% of grove area at high resistance, 38% at moderate resistance, 2% at low resistance, and 16% having no resistance. The remaining 18% are areas where mature giant sequoia forest was lost due to high severity fire.</p><h3 class=\"c-article__sub-heading\" data-test=\"abstract-sub-heading\">Conclusions</h3><p>Giant sequoias have experienced substantial losses due to recent wildfire, with large areas at risk of grove loss. However, most burned area had lower severity effects, creating opportunities to leverage wildfire as a treatment. When combined with areas of active management, these opportunities can promote giant sequoia conservation in a time of rapid change.</p>","language":"English","publisher":"Springer","doi":"10.1186/s42408-026-00469-5","usgsCitation":"Shive, K.L., Baker, B., Soderberg, D.N., Hardlund, L.J., Meyer, M.D., Nagelson, P.B., Bisbing, S.M., Das, A., and Stephenson, N.L., 2026, The state of the giant sequoias: Losses, risks, and opportunities: Fire Ecology, v. 22, 30, 24 p., https://doi.org/10.1186/s42408-026-00469-5.","productDescription":"30, 24 p.","ipdsId":"IP-182729","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":504159,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-026-00469-5","text":"Publisher Index Page"},{"id":503883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sierra Nevada Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -120.1683922,\n              38.9170529\n            ],\n            [\n              -120.2414481,\n              39.6521398\n            ],\n            [\n              -121.3616389,\n              39.4831894\n            ],\n            [\n              -119.9979283,\n              37.2108073\n            ],\n            [\n              -119.1438675,\n              35.9222157\n            ],\n            [\n              -118.0519469,\n              35.2339586\n            ],\n            [\n              -116.8235362,\n              35.4899696\n            ],\n            [\n              -117.3012515,\n              36.4180409\n            ],\n            [\n              -118.215735,\n              37.3242998\n            ],\n            [\n              -119.1212573,\n              38.1168177\n            ],\n            [\n              -120.1683922,\n              38.9170529\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","noUsgsAuthors":false,"publicationDate":"2026-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Shive, Kristen L.","contributorId":370774,"corporation":false,"usgs":false,"family":"Shive","given":"Kristen","middleInitial":"L.","affiliations":[{"id":88071,"text":"UC  Berkeley","active":true,"usgs":false}],"preferred":false,"id":960749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Brianna","contributorId":352616,"corporation":false,"usgs":false,"family":"Baker","given":"Brianna","affiliations":[{"id":36629,"text":"University of California","active":true,"usgs":false}],"preferred":false,"id":960750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soderberg, David Nicolas Bertil 0000-0002-8517-4143","orcid":"https://orcid.org/0000-0002-8517-4143","contributorId":316729,"corporation":false,"usgs":true,"family":"Soderberg","given":"David","email":"","middleInitial":"Nicolas Bertil","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardlund, Linnea J.","contributorId":370775,"corporation":false,"usgs":false,"family":"Hardlund","given":"Linnea","middleInitial":"J.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":960752,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Marc D.","contributorId":370776,"corporation":false,"usgs":false,"family":"Meyer","given":"Marc","middleInitial":"D.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":960753,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nagelson, P. Bryant","contributorId":370777,"corporation":false,"usgs":false,"family":"Nagelson","given":"P.","middleInitial":"Bryant","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":960754,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bisbing, Sarah M.","contributorId":370778,"corporation":false,"usgs":false,"family":"Bisbing","given":"Sarah","middleInitial":"M.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":960755,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960756,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":960757,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70274513,"text":"70274513 - 2026 - DNA retention in sea lamprey digestive tracts: Insights from controlled feeding experiments","interactions":[],"lastModifiedDate":"2026-03-30T14:08:43.374815","indexId":"70274513","displayToPublicDate":"2026-03-27T09:05:52","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"DNA retention in sea lamprey digestive tracts: Insights from controlled feeding experiments","docAbstract":"<p><span>The sea lamprey (</span><i>Petromyzon marinus</i><span>), a non-native species in the Laurentian Great Lakes, has significantly impacted native fish communities and commercial fisheries, requiring population suppression efforts. While traditional control methods such as lampricides and barriers have reduced sea lamprey population abundance, questions remain regarding sea lamprey dietary composition given the focus of current damage assessments on economically and ecologically important host species. Recent advances in molecular technology offer promising methods of sea lamprey dietary assessment. Specifically, DNA metabarcoding enables species-specific identification of taxonomically diverse prey items from gut and fecal samples, and has proven effective in many taxa, including hematophagous species such as Arctic lamprey (</span><i>Lethenteron camtschaticum</i><span>) and sea lamprey. However, studies on DNA retention within digestive tracts are limited, particularly given the potential effects of environmental and dietary factors among hematophagous species. We used controlled feeding experiments to understand the effects these factors may have on DNA retention and host detectability within sea lamprey digestive tracts. Additionally, we evaluated the utility of metabarcoding for identifying multiple host species from consecutive feedings. Results indicate that host DNA can be detected up to 30 days post-feeding, with detection probability decreasing with increasing time following feeding. Temperature effects were dependent upon fasting periods, and host-switching trials indicated multiple previous host species could be detected from a single lamprey. Findings provide valuable insights for refining dietary analysis protocols for wild-caught sea lamprey within native and introduced ranges.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/edn3.70268","usgsCitation":"O'Kane, C., Johnson, N.S., Scribner, K.T., Kanefsky, J., Li, W., Bruning, T., and Robinson, J.D., 2026, DNA retention in sea lamprey digestive tracts: Insights from controlled feeding experiments: Environmental DNA, v. 8, no. 2, e70268, 11 p., https://doi.org/10.1002/edn3.70268.","productDescription":"e70268, 11 p.","ipdsId":"IP-184313","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":502060,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.70268","text":"Publisher Index Page"},{"id":501787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"O'Kane, Conor","contributorId":360151,"corporation":false,"usgs":false,"family":"O'Kane","given":"Conor","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nicholas S. 0000-0002-7419-6013 njohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7419-6013","contributorId":597,"corporation":false,"usgs":true,"family":"Johnson","given":"Nicholas","email":"njohnson@usgs.gov","middleInitial":"S.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":958075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scribner, Kim T.","contributorId":368904,"corporation":false,"usgs":false,"family":"Scribner","given":"Kim","middleInitial":"T.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kanefsky, Jeannette","contributorId":243198,"corporation":false,"usgs":false,"family":"Kanefsky","given":"Jeannette","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Li, Weiming","contributorId":126748,"corporation":false,"usgs":false,"family":"Li","given":"Weiming","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bruning, Tyler 0000-0002-5970-9810 tbruning@usgs.gov","orcid":"https://orcid.org/0000-0002-5970-9810","contributorId":173134,"corporation":false,"usgs":true,"family":"Bruning","given":"Tyler","email":"tbruning@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":958079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Robinson, John D.","contributorId":368907,"corporation":false,"usgs":false,"family":"Robinson","given":"John","middleInitial":"D.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":958080,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70275291,"text":"70275291 - 2026 - Seasonal environmental conditions and river morphology shape summer phytoplankton communities","interactions":[],"lastModifiedDate":"2026-04-28T16:08:45.515912","indexId":"70275291","displayToPublicDate":"2026-03-27T08:05:38","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal environmental conditions and river morphology shape summer phytoplankton communities","docAbstract":"<p>1. Phytoplankton form the base of large river food webs but there are limited studies on the nature and drivers of communities over longer time scales. Further, climate change is projected to favor taxa associated with harmful algal blooms, but our knowledge of the timing, locations, and drivers of cyanobacteria in rivers lags that of lakes and marine environments. </p><p>2. We used a summer phytoplankton community dataset collected from 2010-2020 across main channel, side channel and backwater areas in the La Grange reach of the Illinois River to assess: 1) How much do summer phytoplankton communities across diverse aquatic areas within a large river vary from year to year?, 2) What environmental conditions are associated with that variation?, and 3) Do cyanobacteria respond differently than the full phytoplankton community? </p><p>3. We found greater differences in phytoplankton communities across years than among aquatic areas. Further, we showed that annual variation in phytoplankton communities was synchronous among taxa in the same aquatic area, rather than specific to each taxonomic group or taxa-area combination. After accounting for this spatial variation in annual dynamics, phytoplankton reflected river conditions across seasons, responding positively to summer total phosphorus and invasive carp abundance and negatively to winter discharge and spring silica to nitrogen ratio. Annual variation in cyanobacteria was similarly distinct among main channel, side channel and backwater areas but was best explained by the ratio of summer air temperature to discharge, representing conditions that favored growth over transport. </p><p>4. These results show that annual variation in summer phytoplankton and cyanobacterial communities both reflected the spatial diversity of the river landscape and responded to conditions that occurred at different spatial and temporal scales. Further, in this highly modified river basin, we showed that a mix of anthropogenic pressures including eutrophication, invasive species, and potential changes to winter and spring conditions affected the phytoplankton communities present in the summer. Thus, when evaluating long-term change and the potential for harmful algal blooms in rivers it is important to consider spatial diversity of phytoplankton communities, how their sensitivity to environmental change may vary across the river landscape, and the suite of human modifications acting on those communities.</p>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.70195","usgsCitation":"Jankowski, K.J., Larson, J.H., and Manier, J.T., 2026, Seasonal environmental conditions and river morphology shape summer phytoplankton communities: Freshwater Biology, v. 71, no. 4, e70195, 20 p., https://doi.org/10.1111/fwb.70195.","productDescription":"e70195, 20 p.","ipdsId":"IP-175053","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":503773,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.70195","text":"Publisher Index Page"},{"id":503593,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Illinois River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90.58518106565782,\n              39.93537513607859\n            ],\n            [\n              -90.54393271346706,\n              39.87009717384808\n            ],\n            [\n              -89.99004304364246,\n              40.285261805467\n            ],\n            [\n              -89.80813473192549,\n              40.49787976952105\n            ],\n            [\n              -89.6972594677261,\n              40.5232993810744\n            ],\n            [\n              -89.61378517926603,\n              40.588699439676645\n            ],\n            [\n              -89.67476866924434,\n              40.62615848345776\n            ],\n            [\n              -89.94349848180836,\n              40.52558182165162\n            ],\n            [\n              -90.22205602968836,\n              40.26158933292001\n            ],\n            [\n              -90.58518106565782,\n              39.93537513607859\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"71","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Jankowski, Kathi Jo 0000-0002-3292-4182","orcid":"https://orcid.org/0000-0002-3292-4182","contributorId":207429,"corporation":false,"usgs":true,"family":"Jankowski","given":"Kathi","email":"","middleInitial":"Jo","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":960354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, James H. 0000-0002-6414-9758 jhlarson@usgs.gov","orcid":"https://orcid.org/0000-0002-6414-9758","contributorId":4250,"corporation":false,"usgs":true,"family":"Larson","given":"James","email":"jhlarson@usgs.gov","middleInitial":"H.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":960355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Manier, John T. 0000-0002-8334-8226","orcid":"https://orcid.org/0000-0002-8334-8226","contributorId":335483,"corporation":false,"usgs":true,"family":"Manier","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":960356,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70275547,"text":"70275547 - 2026 - Relative activity of three bat species Impacted by white-nose syndrome on the Chesapeake and Ohio Canal National Historical Park","interactions":[],"lastModifiedDate":"2026-05-05T13:41:35.346712","indexId":"70275547","displayToPublicDate":"2026-03-26T09:02:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2898,"text":"Northeastern Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Relative activity of three bat species Impacted by white-nose syndrome on the Chesapeake and Ohio Canal National Historical Park","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>White-nose syndrome, a disease caused by the fungal-pathogen&nbsp;</span><i>Pseudogymnoascus destructans</i><span>, has caused drastic reductions in populations of several North American hibernating species of bats including&nbsp;</span><i>Myotis lucifugus</i><span>&nbsp;(Little Brown Bat),&nbsp;</span><i>Myotis septentrionalis</i><span>&nbsp;(Northern Long-eared Bat), and&nbsp;</span><i>Perimyotis subflavus</i><span>&nbsp;(Tricolored Bat). Recent data indicate that populations of Little Brown Bats may be stabilizing and/or increasing in the northeastern region of the US, while others, such as Northern Long-eared Bats, continue to decline. Whether these trends extend to the mid-Atlantic region is currently unknown. To better understand population changes over time, habitat associations, and species dynamics, we developed models of relative activity from bat acoustic data collected on the National Park Service's Chesapeake and Ohio Canal National Historical Park along the Potomac River Corridor in western Maryland between 2016 and 2022. Consistent with pre-disease habitat associations, Little Brown Bats and Tricolored Bats exhibited a positive correlation with proximity to water bodies. Notably, we found Little Brown Bat and Tricolored Bat populations potentially were increasing, whereas Northern Long-eared Bats showed no correlation with examined habitat covariates and had low detection levels, trends consistent with broader declines throughout their range.</span></span></p>","language":"English","publisher":"BioOne","doi":"10.1656/045.033.0110","usgsCitation":"Moran, M.L., Litterer, A.S., De La Cruz, J.L., Deeley, S., and Ford, W., 2026, Relative activity of three bat species Impacted by white-nose syndrome on the Chesapeake and Ohio Canal National Historical Park: Northeastern Naturalist, v. 33, no. 1, p. 104-127, https://doi.org/10.1656/045.033.0110.","productDescription":"24 p.","startPage":"104","endPage":"127","ipdsId":"IP-176893","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":503946,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Chesapeake and Ohio Canal National Historical Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -77.83958240457122,\n              39.497656689410064\n            ],\n            [\n              -77.83958240457122,\n              39.437192609498794\n            ],\n            [\n              -77.7718594829591,\n              39.437192609498794\n            ],\n            [\n              -77.7718594829591,\n              39.497656689410064\n            ],\n            [\n              -77.83958240457122,\n              39.497656689410064\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"33","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moran, Megan L.","contributorId":370994,"corporation":false,"usgs":false,"family":"Moran","given":"Megan","middleInitial":"L.","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":960855,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Litterer, Amber S.","contributorId":370995,"corporation":false,"usgs":false,"family":"Litterer","given":"Amber","middleInitial":"S.","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":960856,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"De La Cruz, Jesse L.","contributorId":370996,"corporation":false,"usgs":false,"family":"De La Cruz","given":"Jesse","middleInitial":"L.","affiliations":[{"id":81893,"text":"Virginia Polytechnic and State University","active":true,"usgs":false}],"preferred":false,"id":960857,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deeley, Sabrina M.","contributorId":348402,"corporation":false,"usgs":false,"family":"Deeley","given":"Sabrina M.","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":960970,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":960858,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274493,"text":"70274493 - 2026 - Advances in volcano monitoring driven by the first decade of Sentinel-1 observations","interactions":[],"lastModifiedDate":"2026-03-27T15:48:35.399426","indexId":"70274493","displayToPublicDate":"2026-03-26T08:41:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3254,"text":"Remote Sensing of Environment","printIssn":"0034-4257","active":true,"publicationSubtype":{"id":10}},"title":"Advances in volcano monitoring driven by the first decade of Sentinel-1 observations","docAbstract":"Sentinel-1 has transformed how satellite radar data (SAR and InSAR) are used in volcanology. The systematic, long-term archive and open-access policy means that volcano observatories and research organisations have invested in integrating Sentinel-1 datasets into their monitoring systems. We identify 233 high priority volcanoes and estimate that Sentinel-1 data has been used in peer-reviewed publications for 90 of them. We examine a global archive of 3.3 million automatically processed Sentinel-1 interferograms of volcanoes and use machine learning methods to identify eruptions and periods of unrest. We then review the ways in which InSAR data are being used in different contexts. At frequently erupting basaltic systems in Iceland, Hawaiʻi, the Galápagos , and Piton de la Fournaise, InSAR has become an effective monitoring tool and is integrated with other datasets and models to forecast magma pathways. For large explosive eruptions, deformation measurements often remain challenging, but SAR backscatter is increasingly used to map damaging flows and measure the changing shape of ocean islands. Sentinel-1's long archive provides critical baseline measurements that are vital for measuring slow deformation, capturing new periods of unrest and providing fresh insights into subsurface dynamics. Understanding the drivers of deformation remains challenging and typically relies on integration with external datasets. Future European Space Agency missions have the potential to improve both resolution and coverage providing an even richer dataset to further enhance global volcano monitoring","language":"English","publisher":"Elsevier","doi":"10.1016/j.rse.2026.115377","usgsCitation":"Biggs, J., Anantrasirichai, N., Anderson, K.R., Cayol, V., Dualeh, E.W., Dumont, Q., Ebmeier, S.K., Froger, J.L., Gaddes, M., Galleto, F., Gonzales, P.J., Hamling, I., Hooper, A., Lazecky, M., Lizama, C.N., and Pritchard, M.E., 2026, Advances in volcano monitoring driven by the first decade of Sentinel-1 observations: Remote Sensing of Environment, v. 339, 115377, 23 p., https://doi.org/10.1016/j.rse.2026.115377.","productDescription":"115377, 23 p.","ipdsId":"IP-177252","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":502040,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rse.2026.115377","text":"Publisher Index Page"},{"id":501715,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ethiopia","otherGeospatial":"Erta Ale volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              39.410391558822226,\n              13.666664012561242\n            ],\n            [\n              39.410391558822226,\n              11.613176216993239\n            ],\n            [\n              41.47334116398639,\n              11.613176216993239\n            ],\n            [\n              41.47334116398639,\n              13.666664012561242\n            ],\n            [\n              39.410391558822226,\n              13.666664012561242\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  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Federico","contributorId":368845,"corporation":false,"usgs":false,"family":"Galleto","given":"Federico","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":957977,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gonzales, Pablo J.","contributorId":368846,"corporation":false,"usgs":false,"family":"Gonzales","given":"Pablo","middleInitial":"J.","affiliations":[{"id":87656,"text":"IPNA-CSIC","active":true,"usgs":false}],"preferred":false,"id":957978,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hamling, Ian","contributorId":344731,"corporation":false,"usgs":false,"family":"Hamling","given":"Ian","email":"","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":957979,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Hooper, 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E.","contributorId":368849,"corporation":false,"usgs":false,"family":"Pritchard","given":"Matthew","middleInitial":"E.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":957983,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}}
,{"id":70275551,"text":"70275551 - 2026 - Seasonal and annual survival of acoustically tagged juvenile Gulf sturgeon in the Apalachicola River, Florida, USA","interactions":[],"lastModifiedDate":"2026-05-05T13:40:03.583544","indexId":"70275551","displayToPublicDate":"2026-03-26T08:10:49","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal and annual survival of acoustically tagged juvenile Gulf sturgeon in the Apalachicola River, Florida, USA","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Gulf sturgeon&nbsp;</span><i>Acipenser desotoi</i><span>&nbsp;are anadromous fish that have undergone major population declines throughout their range. Habitat alteration and previous overharvest in commercial fisheries led to the species being listed as ‘threatened’ under the US Endangered Species Act in 1991. An accurate understanding of population dynamics, including survival, is necessary for monitoring population trends and recovery. Juvenile Gulf sturgeon are migratory within their natal river system; their survival is not well-studied, but their over-winter occupation of more saline habitat has been identified as a potential bottleneck to juvenile survival. Therefore, we estimated over-winter and annual survival of juvenile Gulf sturgeon in the Apalachicola River system (Florida, USA) using Cormack-Jolly-Seber models informed by acoustic telemetry data from 2014-2023. Seasonal apparent survival estimates ranged from 0.96 in the fall to 0.99 in the spring. Contrary to our expectation, results indicated that survival was high across all seasons with no notable difference in over-winter survival compared to other periods. We also estimated apparent annual survival to be 0.76 for juvenile Gulf sturgeon in the system. These findings suggest that over-winter juvenile mortality is not a major bottleneck to Gulf sturgeon population recovery within the Apalachicola River.</span></span></p>","language":"English","publisher":"Inter-Research","doi":"10.3354/esr01484","usgsCitation":"Wilson, R.T., Kaeser, A.J., Parker, S.W., Irwin, B., Hamel, M.J., and Fox, A.G., 2026, Seasonal and annual survival of acoustically tagged juvenile Gulf sturgeon in the Apalachicola River, Florida, USA: Endangered Species Research, v. 59, esr01484, 11 p., https://doi.org/10.3354/esr01484.","productDescription":"esr01484, 11 p.","ipdsId":"IP-178925","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":504190,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01484","text":"Publisher Index Page"},{"id":503934,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Apalachicola River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.95028791680792,\n              30.700043969782456\n            ],\n            [\n              -85.19392286381988,\n              30.177386904722987\n            ],\n            [\n              -85.05427019537464,\n              29.68305846607859\n            ],\n            [\n              -84.92950348298919,\n              29.693384215929285\n            ],\n            [\n              -84.9740776762731,\n              29.905841704625477\n            ],\n            [\n              -85.06025275203419,\n              30.11829919332167\n            ],\n            [\n              -84.83441837459203,\n              30.69233750410389\n            ],\n            [\n              -84.95028791680792,\n              30.700043969782456\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","noUsgsAuthors":false,"publicationDate":"2026-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Russell T.","contributorId":371003,"corporation":false,"usgs":false,"family":"Wilson","given":"Russell","middleInitial":"T.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":960862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaeser, Adam J.","contributorId":371004,"corporation":false,"usgs":false,"family":"Kaeser","given":"Adam","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":960863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Stephen W.","contributorId":371005,"corporation":false,"usgs":false,"family":"Parker","given":"Stephen","middleInitial":"W.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":960864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Irwin, Brian J. 0000-0002-0666-2641","orcid":"https://orcid.org/0000-0002-0666-2641","contributorId":280043,"corporation":false,"usgs":true,"family":"Irwin","given":"Brian J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":960865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hamel, Martin J.","contributorId":371006,"corporation":false,"usgs":false,"family":"Hamel","given":"Martin","middleInitial":"J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":960866,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fox, Adam G.","contributorId":371008,"corporation":false,"usgs":false,"family":"Fox","given":"Adam","middleInitial":"G.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":960867,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70275568,"text":"70275568 - 2026 - Potential causes of shedding aggregations in prairie rattlesnakes","interactions":[],"lastModifiedDate":"2026-05-04T15:07:53.087044","indexId":"70275568","displayToPublicDate":"2026-03-26T07:59:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Potential causes of shedding aggregations in prairie rattlesnakes","docAbstract":"<p><span>Aggregation is common across taxa and typically confers clear benefits to group members (e.g., allo-parenting, group defense, thermoregulation, access to resources). But aggregation can also be costly. The mechanisms that underpin aggregation—and the cues that elicit it—inform our understanding of how animals resolve tradeoffs among selection pressures. Snakes sometimes form conspicuous aggregations associated with hibernation, gestation, or parturition. Aggregation during ecdysis has also been described in some species, but infrequent observations and the synchronicity of ecdysis have confounded attempts to deduce the mechanism(s) responsible for the behavior. We documented aggregation during ecdysis in a population of asynchronously shedding prairie rattlesnakes (</span><i>Crotalus viridis</i><span>) and tested predictions generated from four hypotheses proposed to explain this behavior. We found that individuals undergoing ecdysis were more likely to aggregate. Our data did not support the hypothesis that rattlesnakes aggregate to improve their thermal efficiency, but we found some support for the reproductive facilitation and thermal landscape hypotheses as possible explanations for aggregation during ecdysis.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.73311","usgsCitation":"Martin, E., and Conway, C.J., 2026, Potential causes of shedding aggregations in prairie rattlesnakes: Ecology and Evolution, v. 16, no. 4, e73311, 9 p., https://doi.org/10.1002/ece3.73311.","productDescription":"e73311, 9 p.","ipdsId":"IP-184642","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":504171,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.73311","text":"Publisher Index Page"},{"id":503933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"west-central Wyoming","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.84451377778078,\n              43.792516907733244\n            ],\n            [\n              -110.84451377778078,\n              42.24721890546647\n            ],\n            [\n              -108.69697922779011,\n              42.24721890546647\n            ],\n            [\n              -108.69697922779011,\n              43.792516907733244\n            ],\n            [\n              -110.84451377778078,\n              43.792516907733244\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, Emily","contributorId":358970,"corporation":false,"usgs":false,"family":"Martin","given":"Emily","affiliations":[{"id":85731,"text":"Smithsonian Institute, AIr and Space Museum","active":true,"usgs":false}],"preferred":false,"id":960909,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":960910,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70274298,"text":"sir20265123 - 2026 - Ungulate migrations of the Western United States, volume 6","interactions":[],"lastModifiedDate":"2026-04-10T16:56:42.960422","indexId":"sir20265123","displayToPublicDate":"2026-03-25T13:50:00","publicationYear":"2026","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":"2026-5123","displayTitle":"Ungulate Migrations of the Western United States, Volume 6","title":"Ungulate migrations of the Western United States, volume 6","docAbstract":"<p>This report, volume 6 in the “Ungulate Migrations of the Western United States” report series, showcases the migrations of 23 ungulate herds in the Western United States. The report series is produced by the Corridor Mapping Team (CMT). Led by the U.S. Geological Survey, the CMT is a collaboration among 11 State agencies, as well as regional and Federal partners, and an expanding number of Tribal wildlife agencies. The CMT was initiated in response to the U.S. Department of the Interior Secretarial Order 3362, which was signed in 2018 and provided Federal support to expand existing research efforts to study ungulate populations and conserve their migrations throughout the Western United States. Including this volume, the report series has detailed the migrations of 237 unique ungulate herds throughout the Western United States and continues to serve as a valuable resource to guide local and regional management, policy, and on-the-ground work necessary to maintain intact and functional ungulate migrations. This report highlights several guiding principles of the CMT that facilitate collaboration among the diverse set of partners and contribute to the program’s continued successes. Notably, raw global positioning system data are not shared among participating agencies and the U.S. Geological Survey, delineating migration corridors and seasonal ranges relies on empirical data, the CMT provides flexible approaches to participating State and Tribal partners, and regular CMT meetings create a framework for open communication among agency partners that supports transboundary mapping of migrations. The 237 ungulate migrations that have been included in the report series are an expanding inventory, which can help maintain ungulate migrations in perpetuity.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20265123","usgsCitation":"Kauffman, M., Lowrey, B., McKee, J.L., Beaupre, C., Beck, J., Beckmann, J., Bergen, S., Berger, J., Berkley, R., Borg, N., Carl, P., Cowardin, M., Dewey, S., Dugger, K.M., Ehrhart, A., Fort, J., Freeman, E., Freeman, I., Gelzer, E.R., German, D., Gray, J., Greenspan, E., Gregory, Z., Hagler, E., Hanson, M., Hinojoza-Rood, V.D., Hnilicka, P., Jaffe, N., Jakes, A.F., Johnson, A., Kolek, J.T., Lawson, A., Lockyer, Z., Lutz, D., McKee, C., McKeever, J., Merkle, J., Mumma, M.A., Newman, D., Peckham, E., Randall, J.E., Regan, T., Reinking, A.K., Ritson, R., Rudd, W.J., Russo, B.M., Sawyer, H., Schroeder, C., Scurlock, B., Short, J., Stansberry, B., Steiner, E., Steingisser, A., Stephenson, T., VanNatta, E., Wallace, C.F., Weinmeister, B., Whittaker, D., Woody, T., and Yancey, S., 2026, Ungulate migrations of the Western United States, volume 6: U.S. Geological Survey Scientific Investigations Report 2026–5123, 68 p., https://doi.org/10.3133/sir20265123.","productDescription":"Report: x, 68 p.; Data Release","onlineOnly":"N","ipdsId":"IP-177691","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":501470,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/sir20245111","text":"Ungulate Migrations of the Western United States, Volume 5"},{"id":501875,"rank":11,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265123/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5123"},{"id":501575,"rank":10,"type":{"id":31,"text":"Publication 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 \"}}]}","contact":"<p>Associate Director, <a href=\"https://www.usgs.gov/mission-areas/ecosystems/\" data-mce-href=\"https://www.usgs.gov/mission-areas/ecosystems/\">Ecosystems Mission Area</a><br>U.S. Geological Survey<br>Mail Stop 300<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Herd Summaries</li><li>References Cited</li><li>Appendix 1. Methods</li></ul>","publishedDate":"2026-03-25","noUsgsAuthors":false,"publicationDate":"2026-03-25","publicationStatus":"PW","contributors":{"authors":[{"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":957720,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowrey, Blake 0000-0002-4994-2117","orcid":"https://orcid.org/0000-0002-4994-2117","contributorId":335494,"corporation":false,"usgs":true,"family":"Lowrey","given":"Blake","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":957721,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKee, Jennifer L. 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,{"id":70274330,"text":"70274330 - 2026 - Valuing socio-economic and ecological attributes of forested watershed restoration to reduce wildfire risk in the southwestern U.S.","interactions":[],"lastModifiedDate":"2026-03-26T20:01:40.59527","indexId":"70274330","displayToPublicDate":"2026-03-25T12:54:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23624,"text":"Forest Policy and Economics","active":true,"publicationSubtype":{"id":10}},"title":"Valuing socio-economic and ecological attributes of forested watershed restoration to reduce wildfire risk in the southwestern U.S.","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Forest restoration in a watershed can provide numerous ecological improvements and social benefits, including reducing the risk of extreme wildfire. Understanding the values of the accrued benefits can be used to evaluate the use of funds to support restoration. The Rio Grande watershed is a vast watershed covering approximately 335,000 mile</span><sup>2</sup><span>&nbsp;(867,646&nbsp;km</span><sup>2</sup><span>). The Rio Grande watershed provides a host of ecosystem services and recreation opportunities and supports municipal water supplies. We estimate the non-market values of forest restoration in the Rio Grande watershed using a choice experiment (CE) approach. While the ecological benefits are established in literature, we focus on the social characteristics, capturing the human-forest system in a comprehensive manner. Our results indicate a significant willingness to pay (WTP) for improving air quality, reducing private property damage, and creating local jobs, with the highest WTP for job creation. Split-sample analysis indicates respondents residing within the watershed highly value the socio-economic attributes of the restoration, while ecological attributes are preferred more outside of the watershed. Our results provide insights into the benefits of multi-dimensional services from forest restoration activities in a watershed.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.forpol.2026.103754","usgsCitation":"Rahman, M.M., Meldrum, J.R., Mueller, J.M., and Huber, C., 2026, Valuing socio-economic and ecological attributes of forested watershed restoration to reduce wildfire risk in the southwestern U.S.: Forest Policy and Economics, v. 186, 103754, 12 p., https://doi.org/10.1016/j.forpol.2026.103754.","productDescription":"103754, 12 p.","ipdsId":"IP-182648","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":502038,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.forpol.2026.103754","text":"Publisher Index Page"},{"id":501641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Rio Grande watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.71673581103325,\n              35.09459922050081\n            ],\n            [\n              -107.71673581103325,\n              32.69478018477595\n            ],\n            [\n              -105.59302300959213,\n              32.69478018477595\n            ],\n            [\n              -105.59302300959213,\n              35.09459922050081\n            ],\n            [\n              -107.71673581103325,\n              35.09459922050081\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"186","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rahman, Mohammad Mashiur","contributorId":367933,"corporation":false,"usgs":false,"family":"Rahman","given":"Mohammad","middleInitial":"Mashiur","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":957912,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957913,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, Julie M.","contributorId":367934,"corporation":false,"usgs":false,"family":"Mueller","given":"Julie","middleInitial":"M.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":957914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huber, Christopher","contributorId":363148,"corporation":false,"usgs":false,"family":"Huber","given":"Christopher","affiliations":[{"id":86628,"text":"NPS, formerly USGS","active":true,"usgs":false}],"preferred":false,"id":957915,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70275263,"text":"70275263 - 2026 - Seasons and seasonality in lakes: Synthesis amid global change","interactions":[],"lastModifiedDate":"2026-04-27T14:14:25.731879","indexId":"70275263","displayToPublicDate":"2026-03-25T10:23:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Seasons and seasonality in lakes: Synthesis amid global change","docAbstract":"<p><span>Seasonality in environmental conditions plays a fundamental role in shaping lake ecosystems. However, patterns of seasonality vary worldwide, and these patterns are shifting over time amid global change. Thus, it is increasingly important to evaluate how seasons and seasonality are represented in lake ecosystem research. Here, we used a literature review and global data analysis to synthesize approaches for conceptualizing seasons and seasonality in lakes. We found that a wide range of criteria are used to delineate discrete seasons in published literature, including fixed dates (e.g., months, solstice/equinox), environmental thresholds (e.g., temperature and precipitation cutoffs), and lake-specific indicators (e.g., ice cover, plankton phenology). Analyzing data from lakes worldwide, we found that using different criteria to define the same season resulted in divergent interpretations of ecosystem states. Based on our synthesis, we offer recommendations for how to incorporate seasonality into lake research and communications amid global change.</span></p>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lol2.70116","usgsCitation":"Lewis, A.S., Richardson, D.C., Howard, D.W., Carey, C.C., Kraemer, B.M., Amitai, Y., Bansal, S., Eyto, E., Grossart, H., Hoffman, K.K., Hovel, R.A., Knoll, L.B., Oleksy, I., Santoso, A., Schmid, M., Schwefel, R., Straile, D., Sun, X., Weyhenmeyer, G.A., Woelmer, W.M., Wollrab, S., and Znachor, P., 2026, Seasons and seasonality in lakes: Synthesis amid global change: Limnology and Oceanography Letters, v. 11, no. 2, e70116, 20 p., https://doi.org/10.1002/lol2.70116.","productDescription":"e70116, 20 p.","ipdsId":"IP-179923","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":503764,"rank":2,"type":{"id":40,"text":"Open Access Publisher 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Universitat Konstanz, Konstanz, Germany","active":true,"usgs":false}],"preferred":false,"id":960287,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Sun, Xinyu","contributorId":370404,"corporation":false,"usgs":false,"family":"Sun","given":"Xinyu","affiliations":[],"preferred":false,"id":960288,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Weyhenmeyer, Gesa A.","contributorId":370405,"corporation":false,"usgs":false,"family":"Weyhenmeyer","given":"Gesa","middleInitial":"A.","affiliations":[],"preferred":false,"id":960289,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Woelmer, Whitney M.","contributorId":370406,"corporation":false,"usgs":false,"family":"Woelmer","given":"Whitney","middleInitial":"M.","affiliations":[],"preferred":false,"id":960290,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Wollrab, Sabine","contributorId":297295,"corporation":false,"usgs":false,"family":"Wollrab","given":"Sabine","email":"","affiliations":[{"id":64355,"text":"Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany","active":true,"usgs":false}],"preferred":false,"id":960291,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Znachor, Petr","contributorId":370407,"corporation":false,"usgs":false,"family":"Znachor","given":"Petr","affiliations":[],"preferred":false,"id":960292,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}}
,{"id":70274667,"text":"70274667 - 2026 - Controlling invasive carp ichthyoplankton dispersion using a streamwise-oriented bubble screen: A proof-of-concept validation in a laboratory flume","interactions":[],"lastModifiedDate":"2026-04-03T15:20:30.598951","indexId":"70274667","displayToPublicDate":"2026-03-25T10:16:02","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Controlling invasive carp ichthyoplankton dispersion using a streamwise-oriented bubble screen: A proof-of-concept validation in a laboratory flume","docAbstract":"<p><span>Recent evidence of invasive grass carp (</span><i>Ctenopharyngodon idella</i><span>) reproducing in tributaries to the Laurentian Great Lakes has highlighted the need for control efforts targeting multiple life stages. Initial attempts to control dispersal of downstream-drifting invasive carp ichthyoplankton (i.e., eggs and larvae) using an oblique bubble screen (OBS) revealed that nearly neutrally buoyant grass carp eggs and larvae enter helical-like motions driven by the OBS, preventing aggregation within a single capture location. To improve dispersal control methods for such early-life stage carp, we used a laboratory flume to investigate the efficacy of a streamwise-oriented bubble screen to facilitate their near-bank capture. Five early-life stages of grass carp were tested: live water-hardened eggs, pre- and post-gas bladder inflation larvae, dead larvae, and dead eggs (preserved in formalin solution and later rehydrated). A range of mean channel velocities (0.23, 0.45, and 0.75&nbsp;m/s) was tested for all drifters. Capture percentages increased with increasing airflow. Preserved eggs, for instance, showed capture percentages up to 95&nbsp;%, 87&nbsp;%, and 69&nbsp;% at low, medium, and high water velocities for the highest airflow rate, respectively, in contrast with the lower than 5&nbsp;% capture measured for zero airflow cases. Symmetric secondary flow structures on either side of the bubble screen induced helical trajectories of drifters and facilitated their capture in net-arrays along each wall. Velocity data were used to estimate helical recirculation timescales, enabling calculation of optimal bubble diffuser and net-array lengths for desired capture rates. This study provides useful guidance for the design of effective systems to control dispersal of downstream-drifting ichthyoplankton of invasive carp in streams.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2026.102784","usgsCitation":"Prasad, V., Doyle, H.F., Suski, C., Jackson, P.R., George, A.E., Fischer, J.R., Stahlschmidt, B.H., Herndon, A.M., and Tinoco, R.O., 2026, Controlling invasive carp ichthyoplankton dispersion using a streamwise-oriented bubble screen: A proof-of-concept validation in a laboratory flume: Journal of Great Lakes Research, https://doi.org/10.1016/j.jglr.2026.102784.","ipdsId":"IP-176409","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":502459,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2026.102784","text":"Publisher Index Page"},{"id":502164,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Prasad, Vindhyawasini 0000-0003-0585-7217","orcid":"https://orcid.org/0000-0003-0585-7217","contributorId":296287,"corporation":false,"usgs":false,"family":"Prasad","given":"Vindhyawasini","email":"","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":958630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doyle, Henry F. 0000-0001-9942-8602","orcid":"https://orcid.org/0000-0001-9942-8602","contributorId":369222,"corporation":false,"usgs":false,"family":"Doyle","given":"Henry","middleInitial":"F.","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":958631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suski, Cory 0000-0001-8280-873X","orcid":"https://orcid.org/0000-0001-8280-873X","contributorId":364207,"corporation":false,"usgs":false,"family":"Suski","given":"Cory","affiliations":[{"id":16984,"text":"University of Illinois at Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":958632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"George, Amy E. 0000-0003-1150-8646 ageorge@usgs.gov","orcid":"https://orcid.org/0000-0003-1150-8646","contributorId":3950,"corporation":false,"usgs":true,"family":"George","given":"Amy","email":"ageorge@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fischer, Jesse Robert 0000-0002-9071-7931","orcid":"https://orcid.org/0000-0002-9071-7931","contributorId":329677,"corporation":false,"usgs":true,"family":"Fischer","given":"Jesse","email":"","middleInitial":"Robert","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958635,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stahlschmidt, Benjamin H. 0000-0001-6197-662X","orcid":"https://orcid.org/0000-0001-6197-662X","contributorId":211250,"corporation":false,"usgs":true,"family":"Stahlschmidt","given":"Benjamin","email":"","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958636,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herndon, Anne Marie 0000-0002-7057-0303","orcid":"https://orcid.org/0000-0002-7057-0303","contributorId":332776,"corporation":false,"usgs":true,"family":"Herndon","given":"Anne","email":"","middleInitial":"Marie","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":958637,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tinoco, Rafael O.","contributorId":211779,"corporation":false,"usgs":false,"family":"Tinoco","given":"Rafael","email":"","middleInitial":"O.","affiliations":[{"id":38317,"text":"Department of Civil and Environmental Engineering, University of Illinois at Urbana-Champaign, Urbana, IL","active":true,"usgs":false}],"preferred":false,"id":958638,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70276274,"text":"70276274 - 2026 - The Python Energy Balance model for Snow and Ice (PEBSI): Application and tradeoff analysis on Gulkana Glacier, Alaska","interactions":[],"lastModifiedDate":"2026-05-22T14:56:20.652253","indexId":"70276274","displayToPublicDate":"2026-03-25T09:44:56","publicationYear":"2026","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":"The Python Energy Balance model for Snow and Ice (PEBSI): Application and tradeoff analysis on Gulkana Glacier, Alaska","docAbstract":"<p><span>Glacier energy-balance models offer mechanistic insights into glacier mass balance under a changing climate, yet their considerable data requirements hinder large-scale applications. Here we present the open-source Python Energy Balance model for Snow and Ice (PEBSI), which includes physically based albedo evolution using the Snow, Ice and Aerosol Radiative (SNICAR) model. PEBSI is calibrated and validated using robust in situ data from Gulkana Glacier, Alaska from 2000 to 2024. Simulations forced with original and bias-corrected climate reanalysis data show that statistically downscaling reanalysis data with in situ observations is necessary to reproduce summer mass balance (mean absolute error [MAE]&nbsp;=&nbsp;0.75&nbsp;m w.e. vs 0.22&nbsp;m w.e., respectively). A grid search across two parameters, a precipitation factor and a densification parameter, reveals tradeoffs in performance compared to seasonal mass balance and end-of-winter snow density and depth. No single combination of parameters minimizes all errors, underscoring the inherent overparameterization of energy-balance models and challenges with translating coarse climate data to the glacier scale. The calibrated model successfully simulates the 2024 melt season, agreeing with surface-height change (MAE&nbsp;=&nbsp;0.48&nbsp;m) and albedo (MAE&nbsp;=&nbsp;0.066) observations. Moving forward, PEBSI provides unique opportunities to quantify albedo feedbacks and their impact on present and future glacier mass loss.</span></p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/jog.2026.10154","usgsCitation":"Wilson, C.V., Rounce, D.R., Sass, L., Wells, A., Baker, E.H., Flanner, M., and Skiles, S.M., 2026, The Python Energy Balance model for Snow and Ice (PEBSI): Application and tradeoff analysis on Gulkana Glacier, Alaska: Journal of Glaciology, v. 72, e47, 14 p., https://doi.org/10.1017/jog.2026.10154.","productDescription":"e47, 14 p.","ipdsId":"IP-182327","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":504805,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/jog.2026.10154","text":"Publisher Index Page"},{"id":504684,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Gulkana Glacier","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -145.51627002350358,\n              63.31727093330744\n            ],\n            [\n              -145.27750187125,\n              63.31727093330744\n            ],\n            [\n              -145.27750187125,\n              63.218631630380344\n            ],\n            [\n              -145.51627002350358,\n              63.218631630380344\n            ],\n            [\n              -145.51627002350358,\n              63.31727093330744\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"72","noUsgsAuthors":false,"publicationDate":"2026-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Claire V. 0009-0008-6281-3441","orcid":"https://orcid.org/0009-0008-6281-3441","contributorId":371499,"corporation":false,"usgs":false,"family":"Wilson","given":"Claire","middleInitial":"V.","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":961917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rounce, David R. 0000-0002-4481-4191","orcid":"https://orcid.org/0000-0002-4481-4191","contributorId":371500,"corporation":false,"usgs":false,"family":"Rounce","given":"David","middleInitial":"R.","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":961918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sass, Louis 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":221141,"corporation":false,"usgs":true,"family":"Sass","given":"Louis","email":"lsass@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":961919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wells, Albin","contributorId":346929,"corporation":false,"usgs":false,"family":"Wells","given":"Albin","email":"","affiliations":[{"id":12943,"text":"Carnegie Mellon University","active":true,"usgs":false}],"preferred":false,"id":961920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baker, Emily H. 0000-0002-0938-3496","orcid":"https://orcid.org/0000-0002-0938-3496","contributorId":371501,"corporation":false,"usgs":false,"family":"Baker","given":"Emily","middleInitial":"H.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":961921,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Flanner, Mark 0000-0003-4012-174X","orcid":"https://orcid.org/0000-0003-4012-174X","contributorId":371502,"corporation":false,"usgs":false,"family":"Flanner","given":"Mark","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":961922,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Skiles, S. Mackenzie 0000-0002-7726-6355","orcid":"https://orcid.org/0000-0002-7726-6355","contributorId":371503,"corporation":false,"usgs":false,"family":"Skiles","given":"S.","middleInitial":"Mackenzie","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":961923,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70274334,"text":"70274334 - 2026 - Rare earth element potential in coal and coal ash in the U.S. Gulf Coast","interactions":[],"lastModifiedDate":"2026-03-26T16:48:22.376032","indexId":"70274334","displayToPublicDate":"2026-03-25T09:41:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23625,"text":"International Journal of Coal Science & Technology","active":true,"publicationSubtype":{"id":10}},"title":"Rare earth element potential in coal and coal ash in the U.S. Gulf Coast","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>United States heavy reliance on imports of critical minerals (CMs), including rare earth elements (REEs), underscores the importance of development of domestic sources. The study objective was to quantify CM and REE concentrations in coal and coal ash in the US Gulf Coast region. CM and REE concentrations were measured for 118 samples from outcrops and 14 mines in the Gulf Coast. Results show that total REE + Yttrium (REY) concentrations (dry coal basis) are comparable to those of the upper continental crust (UCC) with localized hot spots, such as the Texas Gibbons Creek mine (REY ≤ ~ 2860 ppm). When normalized to UCC REY concentration (169 ppm, dry coal basis), REY to UCC ratios for Gulf Coast coal samples range from 0.1 to 17 (median ratio 0.6). REE extractability from lignites is high (median: 63%–93%) using environmentally benign weak acid. In addition to raw coal, coal ash from power plants could also serve as an REE source with a median ratio of REY in ash relative to coal of 4; however, extractability from coal ash is generally much lower (≤ 5% using the same weak acid as in coal). The median basket price for extracted REY as oxides from coal, assuming 70% extractability, is $3.2 per tonne of coal and $186&nbsp;billion based on 58&nbsp;billion metric tonnes of dry coal in the Gulf Coast. REEs important for magnets (Pr + Nd + Tb + Dy) account for ~ 80% of the total value. The corresponding median basket price for extracted REY as oxides from coal ash, assuming ~ 30% extractability, is ~$4.4 per tonne of ash and $1.2&nbsp;billion based on 258&nbsp;million tonnes of ash. REE production from coal would likely require co-products, such as activated carbon or humic acids, to attain economic viability. Production of REEs from coal ash could offset remediation costs related to potential water contamination. This reconnaissance study shows the potential for REE production from coal and coal ash in the Gulf Coast; however, carbon coproducts and/or societal benefits would likely be required for socioeconomic viability.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s40789-026-00872-y","usgsCitation":"Scanlon, B.R., Reedy, R.C., Elliott, B.A., Hower, J.C., Kyle, J.R., Locmelis, M., Theaker, N., and Warwick, P., 2026, Rare earth element potential in coal and coal ash in the U.S. Gulf Coast: International Journal of Coal Science & Technology, v. 13, 28, 13 p., https://doi.org/10.1007/s40789-026-00872-y.","productDescription":"28, 13 p.","ipdsId":"IP-174374","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":501611,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s40789-026-00872-y","text":"Publisher Index Page"},{"id":501587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","otherGeospatial":"Gulf Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -102.95736263948356,\n              36.722990342806\n            ],\n            [\n              -102.95736263948356,\n              27.809267728853044\n            ],\n            [\n              -82.6890953748541,\n              27.809267728853044\n            ],\n            [\n              -82.6890953748541,\n              36.722990342806\n            ],\n            [\n              -102.95736263948356,\n              36.722990342806\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2026-03-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Scanlon, Bridget R. 0000-0002-1234-4199","orcid":"https://orcid.org/0000-0002-1234-4199","contributorId":328586,"corporation":false,"usgs":false,"family":"Scanlon","given":"Bridget","email":"","middleInitial":"R.","affiliations":[{"id":78414,"text":"Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, J.J. Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":957932,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reedy, Robert C. 0009-0007-4810-7578","orcid":"https://orcid.org/0009-0007-4810-7578","contributorId":364779,"corporation":false,"usgs":false,"family":"Reedy","given":"Robert","middleInitial":"C.","affiliations":[{"id":86975,"text":"The Universality of Texas at Austin, Bureau of Economic Geology","active":true,"usgs":false}],"preferred":false,"id":957933,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elliott, Brent A. 0000-0003-4099-1657","orcid":"https://orcid.org/0000-0003-4099-1657","contributorId":367943,"corporation":false,"usgs":false,"family":"Elliott","given":"Brent","middleInitial":"A.","affiliations":[{"id":78414,"text":"Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, J.J. Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":957934,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hower, James C. 0000-0003-4694-2776","orcid":"https://orcid.org/0000-0003-4694-2776","contributorId":215373,"corporation":false,"usgs":false,"family":"Hower","given":"James","middleInitial":"C.","affiliations":[{"id":39231,"text":"University of Kentucky Center for Applied Energy Research","active":true,"usgs":false}],"preferred":false,"id":957935,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kyle, J. Richard 0000-0002-5319-8941","orcid":"https://orcid.org/0000-0002-5319-8941","contributorId":367946,"corporation":false,"usgs":false,"family":"Kyle","given":"J.","middleInitial":"Richard","affiliations":[{"id":78414,"text":"Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, J.J. Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":957936,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Locmelis, Marek 0000-0002-9328-0552","orcid":"https://orcid.org/0000-0002-9328-0552","contributorId":367947,"corporation":false,"usgs":false,"family":"Locmelis","given":"Marek","affiliations":[{"id":78414,"text":"Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, J.J. Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":957937,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Theaker, Nolan 0000-0001-5194-2004","orcid":"https://orcid.org/0000-0001-5194-2004","contributorId":367948,"corporation":false,"usgs":false,"family":"Theaker","given":"Nolan","affiliations":[{"id":87651,"text":"University of North Dakota, Institute of Energy Studies, Grand Forks, ND, USA","active":true,"usgs":false}],"preferred":false,"id":957938,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957939,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
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