{"pageNumber":"24","pageRowStart":"575","pageSize":"25","recordCount":185258,"records":[{"id":70274068,"text":"70274068 - 2026 - Future aquatic invaders of the Northeast U.S.: How climate change, human vectors, and natural history could bring southern and western species north","interactions":[],"lastModifiedDate":"2026-02-23T15:56:21.370233","indexId":"70274068","displayToPublicDate":"2026-02-20T09:44:25","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"title":"Future aquatic invaders of the Northeast U.S.: How climate change, human vectors, and natural history could bring southern and western species north","docAbstract":"As environmental conditions change, land managers are increasingly concerned about the potential for new aquatic invasive species to move into their jurisdictions. Because managers may have limited resources, detecting invasive species early is important as prevention is more effective and less costly than ongoing mitigation of established populations. Tools built to assist early detection efforts often use information on pathways of spread (how species move through a landscape) and maps of suitability (where habitat allows a species to live and reproduce). While each is useful, information on pathways or suitability alone provides only a part of the story of invasion risk. To better anticipate the risk of invasive species expanding their ranges into the Northeast U.S., there is a need to improve the way we combine and use pathways and suitability information, especially across large areas (e.g., states, regions). \n\nTo fill this need, we took a new approach that combines estimates of current and future suitability with a diverse variety of pathways that gives us invasion risk scores for more than 100 freshwater invaders (fishes, plants, and invertebrates) across the Northeast U.S. In this report, we provide an overview of our methodology, results, and a description of the ongoing work to make the data publicly available. This work can be used to aid early detection efforts and associated management activities at state and local levels, including the identification of invasion risk hotspots and ranking of individual species risk to help anticipate and prevent invader establishment.","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Jarnevich, C.S., Engelstad, P., LeClare, S.K., Inman, R.D., Pfingsten, I., Daniel, W., 2026, Future aquatic invaders of the Northeast U.S.: How climate change, human vectors, and natural history could bring southern and western species north: Final Report, 12 p.","productDescription":"12 p.","ipdsId":"IP-183270","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":500409,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500383,"rank":1,"type":{"id":15,"text":"Index 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,{"id":70274574,"text":"70274574 - 2026 - Trust-building as a keystone activity in beaver-related restoration practice","interactions":[],"lastModifiedDate":"2026-04-01T16:37:12.595073","indexId":"70274574","displayToPublicDate":"2026-02-20T09:28:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Trust-building as a keystone activity in beaver-related restoration practice","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>North American beavers (</span><i>Castor canadensis</i><span>) are increasingly being used to achieve restoration goals, prompting practitioners to engage with private landowners in efforts to promote beaver coexistence. Through 23 semi-structured interviews with restoration practitioners in Oregon, USA, we explored how practitioners from government agencies, non-governmental organizations (NGOs), service organizations, and private businesses communicate with private landowners about nonlethal beaver management and habitat creation. Using abductive analysis, we identified trust-building as an essential element of restoration practice. Practitioners described 60 tactics for building trust, which we organized using the Shared Foundations model of trust and distrust and the adaptive management cycle to bridge theory with field-based experience. Practitioners also reported navigating tensions between tactics and adapting their approaches to individual landowners and contexts. We argue that trust-building is a craft that can be mastered, propose a potential progression from novice to master trust-builder, and highlight the need for greater attention to trust, relationships, and trust repair in environmental management. Our findings offer a theoretically grounded yet practitioner-informed framework for understanding and improving trust-building efforts in restoration practice.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s00267-026-02400-9","usgsCitation":"Erickson, B.D., and Jones, M.S., 2026, Trust-building as a keystone activity in beaver-related restoration practice: Environmental Management, v. 76, 110, 16 p., https://doi.org/10.1007/s00267-026-02400-9.","productDescription":"110, 16 p.","ipdsId":"IP-184779","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-026-02400-9","text":"Publisher Index Page"},{"id":501952,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.23853076911831,\n              46.240570035688165\n            ],\n            [\n              -124.67829678787554,\n              42.66685258151891\n            ],\n            [\n              -124.39381012914876,\n              41.995038024510364\n            ],\n            [\n              -117.01230604375972,\n              41.97025659471865\n            ],\n            [\n              -117.06282012339243,\n              44.48762153969409\n            ],\n            [\n              -116.30658335589958,\n              45.585850866979015\n            ],\n            [\n              -116.59266632544107,\n              46.0641293518556\n            ],\n            [\n              -124.23853076911831,\n              46.240570035688165\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"76","noUsgsAuthors":false,"publicationDate":"2026-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Brian D.","contributorId":369042,"corporation":false,"usgs":false,"family":"Erickson","given":"Brian","middleInitial":"D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Megan Siobhan 0000-0002-4284-3650","orcid":"https://orcid.org/0000-0002-4284-3650","contributorId":294651,"corporation":false,"usgs":true,"family":"Jones","given":"Megan","email":"","middleInitial":"Siobhan","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958344,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70274517,"text":"70274517 - 2026 - Communicating darkness: Visitor preferences for dark sky interpretation","interactions":[],"lastModifiedDate":"2026-05-07T15:50:16.8541","indexId":"70274517","displayToPublicDate":"2026-02-20T08:59:21","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7356,"text":"Journal of Interpretation Research","active":true,"publicationSubtype":{"id":10}},"title":"Communicating darkness: Visitor preferences for dark sky interpretation","docAbstract":"<p><span>Utah parks are attracting an increasing number of visitors due to the quality dark sky viewing opportunities. Despite increasing engagement in nighttime recreation, limited research exists on visitor interest in interpretation for dark skies in state and national parks. Nighttime visitors at nine Utah state and national park units certified as dark sky parks were surveyed to evaluate their preferences for dark sky-related interpretive topics and communication methods. Visitors expressed the strongest interest in astronomy and improving dark sky viewing, with ranger-led programs emerging as the most favored delivery method. National park visitors showed greater interest than state park visitors in self-guided learning formats such as interpretive displays and mobile apps for topics such as dark sky viewing/astronomy and viewing wildlife at night. These findings highlight the benefits of diverse, yet targeted communication strategies to improve visitor experiences of dark skies and foster stewardship of natural darkness in parks.</span></p>","language":"English","publisher":"Sage","doi":"10.1177/10925872261417304","usgsCitation":"Russell, Z.A., Beeco, J.A., Miller, Z., Wilkins, E.J., Miller, A.B., Lamborn, C.C., and Smith, J.W., 2026, Communicating darkness: Visitor preferences for dark sky interpretation: Journal of Interpretation Research, v. 31, no. 1, p. 27-47, https://doi.org/10.1177/10925872261417304.","productDescription":"21 p.","startPage":"27","endPage":"47","ipdsId":"IP-183199","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":501786,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502059,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index 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 \"}}]}","volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-02-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Russell, Zachary A. 0000-0002-0242-0231","orcid":"https://orcid.org/0000-0002-0242-0231","contributorId":368911,"corporation":false,"usgs":false,"family":"Russell","given":"Zachary","middleInitial":"A.","affiliations":[{"id":38021,"text":"University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":958082,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beeco, J. Adam 0000-0002-4233-7061","orcid":"https://orcid.org/0000-0002-4233-7061","contributorId":368912,"corporation":false,"usgs":false,"family":"Beeco","given":"J.","middleInitial":"Adam","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":958083,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Zachary D. 0000-0001-9909-1202","orcid":"https://orcid.org/0000-0001-9909-1202","contributorId":329372,"corporation":false,"usgs":false,"family":"Miller","given":"Zachary D.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":958084,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilkins, Emily J. 0000-0003-3055-4808","orcid":"https://orcid.org/0000-0003-3055-4808","contributorId":328409,"corporation":false,"usgs":true,"family":"Wilkins","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":958085,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miller, Anna B. 0000-0002-4919-8156","orcid":"https://orcid.org/0000-0002-4919-8156","contributorId":368913,"corporation":false,"usgs":false,"family":"Miller","given":"Anna","middleInitial":"B.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":958086,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lamborn, Chase C. 0000-0003-0854-6270","orcid":"https://orcid.org/0000-0003-0854-6270","contributorId":329371,"corporation":false,"usgs":false,"family":"Lamborn","given":"Chase","middleInitial":"C.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":958087,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Jordan W. 0000-0001-7036-4887","orcid":"https://orcid.org/0000-0001-7036-4887","contributorId":368914,"corporation":false,"usgs":false,"family":"Smith","given":"Jordan","middleInitial":"W.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":958088,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70274039,"text":"70274039 - 2026 - American kestrel population trends and vital rates at the continental scale","interactions":[],"lastModifiedDate":"2026-02-23T17:22:11.732582","indexId":"70274039","displayToPublicDate":"2026-02-19T11:16:41","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"American kestrel population trends and vital rates at the continental scale","docAbstract":"<p><span>The American kestrel (</span><i>Falco sparverius</i><span>, hereafter referred to as kestrel) has declined across much of its North American range since at least the mid-1960s. Kestrel population dynamics have been explored through a multitude of local studies and two broad reviews of available data. Across large geographic extents, however, the demographic cause(s) of kestrel population declines remain(s) largely unknown. As part of a collaborative effort to elucidate the drivers of kestrel population declines, we developed a continental-scale integrated population model using band-recovery data, productivity data, and Breeding Bird Survey indices from 1986 to 2019 to estimate indices of annual population sizes, survival, and productivity rates across the continental United States. We detected a decline in population size of ~1%–2% per year. Overall estimates of population growth from 1986 to 2019 suggest a 29% decline in population size (95% CI = −34% to −23%). There was little evidence of a trend in brood size. However, survival of juvenile birds (mean = −0.015, SD = 0.008 and mean = −0.024, SD = 0.010 for females and males, respectively) and adult males (mean = −0.016, SD = 0.010) in the summer declined, suggesting that these vital rates could be contributing to declines in populations over time. Winter adult survival rates (mean = −0.004, SD = 0.009 and mean = −0.009, SD = 0.010 for females and males, respectively) also declined but to a lesser extent than summer survival. For juvenile birds, winter survival increased (mean = 0.006, SD = 0.008 and mean = 0.002, SD = 0.009 for females and males, respectively); however, this was not enough to offset declines in summer survival and annual survival rates declined over the time series. Annual adult survival was also low relative to previous research on kestrel survival rates. Given the importance of survival to population trends, our findings provide support for several previously proposed broad classes of factors potentially contributing to observed population declines: declines in arthropod prey, second-generation rodenticides, neonicotinoid insecticides, and predation.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70526","usgsCitation":"Howell, P.E., Lawson, A.J., Davis Kristin P., Zimmerman, G.S., Robinson, O.J., Boggie, M.A., Eaton, M.J., Abadi, F., Brown, J.L., Heath, J.A., Smallwood, J.A., Steenhof, K., Swem, T., Rolek, B.W., McClure, C.J., Therrien, J., Miller, K.E., Milsap, B.A., 2026, American kestrel population trends and vital rates at the continental scale: Ecosphere, v. 17, no. 2, e70526, 18 p., https://doi.org/10.1002/ecs2.70526.","productDescription":"e70526, 18 p.","ipdsId":"IP-166530","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":500756,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1FDMI2L","text":"USGS data release","linkHelpText":"A continental-scale integrated population model for the American kestrel"},{"id":500592,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70526","text":"Publisher Index Page"},{"id":500428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Howell, Paige E.","contributorId":366801,"corporation":false,"usgs":false,"family":"Howell","given":"Paige","middleInitial":"E.","affiliations":[],"preferred":false,"id":956247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawson, Abigail Jean 0000-0002-2799-8750","orcid":"https://orcid.org/0000-0002-2799-8750","contributorId":276319,"corporation":false,"usgs":true,"family":"Lawson","given":"Abigail","email":"","middleInitial":"Jean","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":956248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis Kristin P.","contributorId":366802,"corporation":false,"usgs":false,"family":"Davis Kristin P.","affiliations":[],"preferred":false,"id":956249,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zimmerman, Guthrie S.","contributorId":366803,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","middleInitial":"S.","affiliations":[],"preferred":false,"id":956250,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robinson, Orin J.","contributorId":366804,"corporation":false,"usgs":false,"family":"Robinson","given":"Orin","middleInitial":"J.","affiliations":[],"preferred":false,"id":956251,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boggie, Matthew A.","contributorId":366805,"corporation":false,"usgs":false,"family":"Boggie","given":"Matthew","middleInitial":"A.","affiliations":[],"preferred":false,"id":956252,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":956253,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Abadi, Fitsum","contributorId":366806,"corporation":false,"usgs":false,"family":"Abadi","given":"Fitsum","affiliations":[],"preferred":false,"id":956254,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brown, Jessi L.","contributorId":366807,"corporation":false,"usgs":false,"family":"Brown","given":"Jessi","middleInitial":"L.","affiliations":[],"preferred":false,"id":956255,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Heath, Julie A.","contributorId":366808,"corporation":false,"usgs":false,"family":"Heath","given":"Julie","middleInitial":"A.","affiliations":[],"preferred":false,"id":956256,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Smallwood, John A.","contributorId":366809,"corporation":false,"usgs":false,"family":"Smallwood","given":"John","middleInitial":"A.","affiliations":[],"preferred":false,"id":956257,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Steenhof, Karen karen_steenhof@usgs.gov","contributorId":203439,"corporation":false,"usgs":false,"family":"Steenhof","given":"Karen","email":"karen_steenhof@usgs.gov","affiliations":[],"preferred":false,"id":956258,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Swem, Ted","contributorId":200583,"corporation":false,"usgs":false,"family":"Swem","given":"Ted","affiliations":[],"preferred":false,"id":956259,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rolek, Brian W.","contributorId":366810,"corporation":false,"usgs":false,"family":"Rolek","given":"Brian","middleInitial":"W.","affiliations":[],"preferred":false,"id":956260,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"McClure, Christopher J.W.","contributorId":366811,"corporation":false,"usgs":false,"family":"McClure","given":"Christopher","middleInitial":"J.W.","affiliations":[],"preferred":false,"id":956261,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Therrien, Jean-Francois","contributorId":336846,"corporation":false,"usgs":false,"family":"Therrien","given":"Jean-Francois","email":"","affiliations":[{"id":80885,"text":"Université de Moncton, Moncton, NB, Canada","active":true,"usgs":false}],"preferred":false,"id":956262,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Miller, Karl E.","contributorId":366812,"corporation":false,"usgs":false,"family":"Miller","given":"Karl","middleInitial":"E.","affiliations":[],"preferred":false,"id":956263,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Milsap, Brian A.","contributorId":366813,"corporation":false,"usgs":false,"family":"Milsap","given":"Brian","middleInitial":"A.","affiliations":[],"preferred":false,"id":956264,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}}
,{"id":70274566,"text":"70274566 - 2026 - Genetic structure in a previously extirpated population of gray wolves following reintroduction and natural recolonization","interactions":[],"lastModifiedDate":"2026-04-01T16:50:46.824141","indexId":"70274566","displayToPublicDate":"2026-02-19T09:40:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Genetic structure in a previously extirpated population of gray wolves following reintroduction and natural recolonization","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Genetic structuring in wildlife populations is driven by barriers that restrict gene flow as well as the history of population demography. Mechanisms driving genetic structuring can be nuanced in group-living species, such as gray wolves (</span><i>Canis lupus</i><span>). Behavioral factors, such as social affiliation and resistance, natal habitat imprinting, and trade-offs between dispersal from natal packs and territorial biding, affect habitat selection of wolves despite landscape barriers providing little resistance to their extensive dispersal capabilities. Wolves were previously extirpated from Idaho, USA, and current populations are the result of both reintroductions in 1995 and 1996 and natural dispersal from Canada. In this context we examined genetic structure of wolves in Idaho using 101 individuals genotyped at 18 nuclear DNA microsatellite loci and a subset of 38 individuals genotyped at 1019 single nucleotide polymorphism markers. We hypothesized panmictic (i.e., random mating) genetic structure in Idaho due to the long-distance dispersal abilities of gray wolves. Contrary to our hypothesis, we found three genetic clusters of gray wolves in Idaho, primarily supported by SNP markers. Microsatellite data suggested similar patterns, but permutation tests indicated these differences were not statistically significant. The extent of differentiation and evidence of gene flow, however, suggests that the three genetic clusters are not wholly isolated from one another. The distinctions between clusters spatially align with areas of reintroduction into central Idaho and Yellowstone National Park, as well ongoing natural recolonization from adjacent populations in Canada and Montana. Wolves at the periphery of analysis areas showed more admixture than those in the core, consistent with territoriality and mating behaviors contributing to genetic structuring. We demonstrate how management history, including reintroduction efforts, and animal behavior may interact and contribute to patterns of genetic structure in wild populations.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10592-025-01755-6","usgsCitation":"Clendenin, H.R., Ausband, D.E., Adams, J.R., Hohenlohe, P.A., and Waits, L.P., 2026, Genetic structure in a previously extirpated population of gray wolves following reintroduction and natural recolonization: Conservation Genetics, v. 27, 30, 11 p., https://doi.org/10.1007/s10592-025-01755-6.","productDescription":"30, 11 p.","ipdsId":"IP-136208","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-025-01755-6","text":"Publisher Index Page"},{"id":501953,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Northern Rocky Mountains Wolf Recovery Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.08509261498602,\n              49.10500388508157\n            ],\n            [\n              -117.05764655221488,\n              46.418730789204986\n            ],\n            [\n              -116.5785938289533,\n              45.683554891812435\n            ],\n            [\n              -117.26905107451866,\n              44.404354674727344\n            ],\n            [\n              -117.05109052176243,\n              44.02557490237417\n            ],\n            [\n              -116.97139685452663,\n              41.98267152652929\n            ],\n            [\n              -111.21240510431065,\n              42.041428872098706\n            ],\n            [\n              -111.13670361755304,\n              40.97752447458031\n            ],\n            [\n              -104.10237201439321,\n              41.00804696280437\n            ],\n            [\n              -104.10237201439321,\n              49.10500388508157\n            ],\n            [\n              -117.08509261498602,\n              49.10500388508157\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"27","noUsgsAuthors":false,"publicationDate":"2026-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Clendenin, Heather R.","contributorId":369027,"corporation":false,"usgs":false,"family":"Clendenin","given":"Heather","middleInitial":"R.","affiliations":[{"id":17864,"text":"University of Memphis","active":true,"usgs":false}],"preferred":false,"id":958319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ausband, David Edward 0000-0001-9204-9837","orcid":"https://orcid.org/0000-0001-9204-9837","contributorId":275329,"corporation":false,"usgs":true,"family":"Ausband","given":"David","email":"","middleInitial":"Edward","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adams, Jennifer R.","contributorId":369028,"corporation":false,"usgs":false,"family":"Adams","given":"Jennifer","middleInitial":"R.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":958321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hohenlohe, Paul A.","contributorId":369029,"corporation":false,"usgs":false,"family":"Hohenlohe","given":"Paul","middleInitial":"A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":958322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waits, Lisette P.","contributorId":369030,"corporation":false,"usgs":false,"family":"Waits","given":"Lisette","middleInitial":"P.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":958323,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70276531,"text":"70276531 - 2026 - Wildfire smoke reduces the vocal activity of imperiled grassland birds in New York State","interactions":[],"lastModifiedDate":"2026-06-09T16:22:31.829685","indexId":"70276531","displayToPublicDate":"2026-02-19T09:18:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Wildfire smoke reduces the vocal activity of imperiled grassland birds in New York State","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Smoke from new fire regimes driven by climate change may affect biodiversity in new regions of the world. Wildfires that occurred in eastern Canada in 2023 burned nearly 7.8 million hectares of forest, sending smoke throughout the northeastern United States. We leveraged passive acoustic monitoring to investigate real-time effects of wildfire smoke on vocalization behavior of globally imperiled grassland birds during the breeding season in open land covers across New York State. We determined an overall negative effect of elevated smoke levels on breeding grassland bird vocal activity. We observed the strongest vocalization responses in Bobolink (</span><i>Dolichonyx oryzivorus</i><span>) – a colonial breeding, grassland-obligate species; Bobolink vocal activity sharply dropped during intense smoke early in the breeding season, yet increased during a milder smoke event later in the breeding season. Our results indicate that wildfire smoke can present an additive stressor to already imperiled grassland bird species via potential fitness reductions from decreased communication. While some aspects of smoke exposure may be uncontrollable, our results suggest that increased attention to conservation practices that promote grassland birds in the Northeast could be prioritized to offset negative effects of increased smoke associated with global change.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2026.111738","usgsCitation":"Simamora, T.I., Boycott, T.J., Wood, C.M., and Grodsky, S.M., 2026, Wildfire smoke reduces the vocal activity of imperiled grassland birds in New York State: Biological Conservation, v. 316, 111738, 9 p., https://doi.org/10.1016/j.biocon.2026.111738.","productDescription":"111738, 9 p.","ipdsId":"IP-177455","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":505480,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2026.111738","text":"Publisher Index 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York\",\"nation\":\"USA  \"}}]}","volume":"316","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Simamora, Trifosa I.","contributorId":371946,"corporation":false,"usgs":false,"family":"Simamora","given":"Trifosa","middleInitial":"I.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":962596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boycott, Timothy J.","contributorId":371947,"corporation":false,"usgs":false,"family":"Boycott","given":"Timothy","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":962597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, Conner M.","contributorId":371948,"corporation":false,"usgs":false,"family":"Wood","given":"Conner","middleInitial":"M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":962598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grodsky, Steven Mark 0000-0003-0846-7230","orcid":"https://orcid.org/0000-0003-0846-7230","contributorId":328517,"corporation":false,"usgs":true,"family":"Grodsky","given":"Steven","email":"","middleInitial":"Mark","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":962599,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70276301,"text":"70276301 - 2026 - Diverse cyanopeptides follow distinct temporal succession patterns in freshwater harmful algal blooms","interactions":[],"lastModifiedDate":"2026-05-27T14:21:48.500422","indexId":"70276301","displayToPublicDate":"2026-02-19T09:09:16","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3563,"text":"The ISME Journal","active":true,"publicationSubtype":{"id":10}},"title":"Diverse cyanopeptides follow distinct temporal succession patterns in freshwater harmful algal blooms","docAbstract":"<p><span>Toxic cyanobacterial harmful algal blooms (cyanoHABs) threaten freshwater resources globally and are intensifying with increasing eutrophication. Bloom toxicity is strongly influenced by intraspecific variation in the biosynthetic repertoires of toxic cyanobacteria, yet few studies examine the diversity of cyanobacterial cyanopeptides beyond hepatotoxic microcystins</span><i>.</i><span>&nbsp;To understand the dynamics and drivers of cyanopeptide diversity in cyanoHABs, we analyzed temporal patterns of cyanobacteria, metabolites, and their biosynthetic gene clusters (BGCs) in western Lake Erie using a 7-year time series (2016–2022) of metagenomic and metabolomic data. Our findings demonstrate that shifts from&nbsp;</span><i>Microcystis</i><span>&nbsp;to&nbsp;</span><i>Dolichospermum</i><span>&nbsp;occur later in the bloom season, coinciding with lower temperatures. Modules of co-varying BGCs (biosynthesis modules) from these genera were identified with hierarchical clustering, with uncharacterized BGCs among the most abundant. Biosynthesis modules rich in nonribosomal peptide synthetases (NRPS) peaked in early August, coinciding with elevated levels of inorganic nitrogen, warmer temperatures, and high&nbsp;</span><i>Microcystis</i><span>&nbsp;abundance. In contrast, modules rich in polyketide synthases (PKS) and ribosomally synthesized and post-translationally modified peptides (RiPPs) peaked following the&nbsp;</span><i>Microcystis</i><span>&nbsp;maximum in mid-August. Metabolomic analyses confirmed that metabolites followed shared seasonal patterns with their associated biosynthesis modules, forming three phases characterized by (i) microcystins, (ii) anabaenopeptins and aeruginosins, and (iii) aerucyclamides. These phases co-varied with bottom-up and top-down pressures, with later phases coinciding with increased microbially processed organic nitrogen and reduced detection of grazers. This study demonstrates consistent seasonal patterns of cyanobacterial metabolite succession and co-occurrence beyond microcystins, suggesting tradeoffs between biosynthetic resource demands and ecological controls.</span></p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/ismejo/wrag026","usgsCitation":"Hart, L.N., Errera, R., Godwin, C., Loftin, K., Laughrey, Z.R., Katona, L.R., Johnson, E.C., Cory, R.M., Kiledal, E.A., Den Uyl, P., Kharbush, J.J., Sherman, D.H., and Dick, G.J., 2026, Diverse cyanopeptides follow distinct temporal succession patterns in freshwater harmful algal blooms: The ISME Journal, v. 20, no. 1, wrag026, 16 p., https://doi.org/10.1093/ismejo/wrag026.","productDescription":"wrag026, 16 p.","ipdsId":"IP-181486","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":84311,"text":"Central Plains Water Science Center","active":true,"usgs":true}],"links":[{"id":504812,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ismejo/wrag026","text":"Publisher Index Page"},{"id":504732,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -82.6915678,\n              42.09434060711348\n            ],\n            [\n              -83.62833511158065,\n              42.09434060711348\n            ],\n            [\n              -83.62833511158065,\n              41.388846\n            ],\n            [\n              -82.6915678,\n              41.388846\n            ],\n            [\n              -82.6915678,\n              42.09434060711348\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"20","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Hart, Lauren N.","contributorId":371563,"corporation":false,"usgs":false,"family":"Hart","given":"Lauren","middleInitial":"N.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":962024,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Errera, Reagan","contributorId":371564,"corporation":false,"usgs":false,"family":"Errera","given":"Reagan","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":962025,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godwin, Casey","contributorId":371565,"corporation":false,"usgs":false,"family":"Godwin","given":"Casey","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":962026,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loftin, Keith 0000-0001-5291-876X kloftin@usgs.gov","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221958,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","email":"kloftin@usgs.gov","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":962027,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Laughrey, Zachary R. 0000-0002-7630-2078 zlaughrey@usgs.gov","orcid":"https://orcid.org/0000-0002-7630-2078","contributorId":198516,"corporation":false,"usgs":true,"family":"Laughrey","given":"Zachary","email":"zlaughrey@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":962028,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Katona, Leon R. 0000-0001-5323-1871","orcid":"https://orcid.org/0000-0001-5323-1871","contributorId":331458,"corporation":false,"usgs":true,"family":"Katona","given":"Leon","email":"","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":962029,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Emma C.","contributorId":371566,"corporation":false,"usgs":false,"family":"Johnson","given":"Emma","middleInitial":"C.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":962030,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cory, Rose M.","contributorId":371567,"corporation":false,"usgs":false,"family":"Cory","given":"Rose","middleInitial":"M.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":962031,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kiledal, E. Anders","contributorId":371568,"corporation":false,"usgs":false,"family":"Kiledal","given":"E.","middleInitial":"Anders","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":962032,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Den Uyl, Paul","contributorId":371575,"corporation":false,"usgs":false,"family":"Den Uyl","given":"Paul","affiliations":[],"preferred":false,"id":962045,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kharbush, Jenan J.","contributorId":371569,"corporation":false,"usgs":false,"family":"Kharbush","given":"Jenan","middleInitial":"J.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":962033,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Sherman, David H.","contributorId":371570,"corporation":false,"usgs":false,"family":"Sherman","given":"David","middleInitial":"H.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":962034,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Dick, Gregory J.","contributorId":371571,"corporation":false,"usgs":false,"family":"Dick","given":"Gregory","middleInitial":"J.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":962035,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70276758,"text":"70276758 - 2026 - Depth-resolved carbon dioxide and methane concentrations in 522 lakes, ponds, and reservoirs worldwide","interactions":[],"lastModifiedDate":"2026-06-22T14:15:39.094548","indexId":"70276758","displayToPublicDate":"2026-02-19T09:07:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"Depth-resolved carbon dioxide and methane concentrations in 522 lakes, ponds, and reservoirs worldwide","docAbstract":"<p><span>Lakes, ponds, and reservoirs (hereafter: “lakes”) are important sources of the greenhouse gases carbon dioxide (CO</span><sub>2</sub><span>) and methane (CH</span><sub>4</sub><span>). Emissions of CO</span><sub>2</sub><span>&nbsp;and CH</span><sub>4</sub><span>&nbsp;from lakes are regulated in part by in-lake processes, including the production and storage of gases in the lower parts of the water column (bottom waters). However, while substantial efforts have been made to improve estimates of greenhouse gas emissions from lakes, limited data on gas concentrations along depth profiles have prevented the incorporation of bottom-water processes in global emission estimates. Here, we present GHG-depths: the largest existing dataset of depth-profile CO</span><sub>2</sub><span>&nbsp;and CH</span><sub>4</sub><span>&nbsp;measurements worldwide, including 522 lakes across 38 countries and all seven continents. These data include contributions from 45 research teams and 56 published studies, totaling 2558 discrete sampling events. As global change continues to alter biogeochemical cycling in lakes, these data can help improve mechanistic models to better predict greenhouse gas production and emission from lakes worldwide.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s41597-026-06751-0","usgsCitation":"Rabaey, J.S., Lewis, A.S., Attermeyer, K., Aurich, P., Bansal, S., Bartosiewicz, M., Bertolet, B.L., Bussmann, I., Cadieux, S.B., Calamita, E., Capelli, C., Carey, C.C., Cillero, C., Clayer, F., D'Ambrosio, S.L., Davidson, T.A., Deemer, B., Denfeld, B.A., Eckert, W., Esposito, C., Ford, P., Gorsky, A., Griffiths, N.A., Grossart, H.F., Hamilton, D.P., Holgerson, M.A., Huser, B.J., Iwata, T., Jansen, J., Jones, S., Juutinen, S., Kortelainen, P., Koschorreck, M., Kragh, T., Laas, A., Larmola, T., Läubli, S., Laurion, I., Lehmann, M.F., Liu, L., Martikainen, P.J., Matoušů, A., McCord, S.A., Montes-Pérez, J.J., Nizzoli, D., Ordóñez, C., Peacock, M., Pilla, R.M., Prėskienis, V., Pu, J., Riis, T., Saarela, T., Santoso, A.B., Schubert, C., Sepulveda-Jauregui, A., Sherman, B.S., Sø, J.S., Stenehjem, K.J., Strock, K.E., Tsuchiya, K., Wendt-Potthoff, K., Weyhenmeyer, G.A., Znachor, P., and Zopfi, J., 2026, Depth-resolved carbon dioxide and methane concentrations in 522 lakes, ponds, and reservoirs worldwide: Scientific Data, v. 13, 483, 12 p., https://doi.org/10.1038/s41597-026-06751-0.","productDescription":"483, 12 p.","ipdsId":"IP-180415","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":506049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-026-06751-0","text":"Publisher Index Page"},{"id":505711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2026-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Rabaey, Joseph S.","contributorId":372534,"corporation":false,"usgs":false,"family":"Rabaey","given":"Joseph","middleInitial":"S.","affiliations":[{"id":88334,"text":"Large Lakes Observatory, University of Minnesota-Duluth, Duluth, MN, USA","active":true,"usgs":false}],"preferred":false,"id":963211,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lewis, Abigail S.","contributorId":372535,"corporation":false,"usgs":false,"family":"Lewis","given":"Abigail","middleInitial":"S.","affiliations":[{"id":88335,"text":"Smithsonian Environmental Research Center, Edgewater, MD 21037","active":true,"usgs":false}],"preferred":false,"id":963212,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Attermeyer, Katrin","contributorId":372536,"corporation":false,"usgs":false,"family":"Attermeyer","given":"Katrin","affiliations":[{"id":88336,"text":"WasserCluster Lunz - Biologische Station, Lunz am See, Austria; Department of Functional and Evolutionary Ecology, University of Vienna, Vienna, Austria","active":true,"usgs":false}],"preferred":false,"id":963213,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aurich, Patrick","contributorId":372537,"corporation":false,"usgs":false,"family":"Aurich","given":"Patrick","affiliations":[{"id":55601,"text":"Helmholtz Centre for Environmental Research - UFZ","active":true,"usgs":false}],"preferred":false,"id":963214,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":963215,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartosiewicz, 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Rasters of soil geochemical distributions for the conterminous United States, however, are limited. We present a Bayesian modeling workflow and tool for generating predictive geochemical and mineralogy distribution maps for the conterminous United States using integrated nested Laplace approximation (INLA) with the stochastic partial differential equation approach. By modeling soil geostatistical data with environmental covariates (soil properties, topography, climate, and land cover), we generate predictive distributions of soil geochemistry that can be mapped or extracted for further analyses. As an example, we model the spatial distribution of trace elements in soil relevant to vertebrate health (cobalt, copper, iron, manganese, selenium, and zinc) and provide a workflow that can be used to generate and visualize predictive distributions of 39 other major and trace elements and 21 minerals of the soil survey, supporting a variety of ecological, environmental, and agricultural applications.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.mex.2026.103836","usgsCitation":"Bondo, K.J., Wolf, T.M., and Walter, W., 2026, Generating geochemical and mineralogy distributions of soil in the conterminous United States using Bayesian hierarchical spatial models: MethodsX, v. 16, 103836, 16 p., https://doi.org/10.1016/j.mex.2026.103836.","productDescription":"103836, 16 p.","ipdsId":"IP-183597","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502081,"rank":0,"type":{"id":40,"text":"Open Access Publisher 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David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":958567,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70276536,"text":"70276536 - 2026 - Seasonal drivers of density in a subarctic population of northern red-backed voles","interactions":[],"lastModifiedDate":"2026-06-09T15:35:24.899425","indexId":"70276536","displayToPublicDate":"2026-02-19T08:31:04","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":"Seasonal drivers of density in a subarctic population of northern red-backed voles","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Northern red-backed voles (</span><i>Clethrionomys rutilus</i><span>) are an important species in the boreal forest ecosystem, both as herbivores and as a key food source for many mammalian and avian predators. They exhibit dramatic inter- and intra-annual population fluctuations, for which causes are not entirely known. We monitored northern red-backed vole densities in Denali National Park and Preserve through time with the goal of examining how environmental factors influenced density over time. Using a 30-year record of mark-recapture data, we used spatially explicit capture-recapture methods to estimate autumn and early summer densities each year. We assessed cyclic patterns in density, variation in amplitude, and any periodicity of population fluctuations using post hoc linear modeling. We found that the vole population appeared to be cyclic with a 2–4 year period, although the pattern varied somewhat among sampling sites. Our results indicated an association between white spruce (</span><i>Picea glauca</i><span>) seed production and vole density, implying white spruce seeds were either an important source of food during winter seasons, or that the environmental triggers that promote high seed fall were also associated with increased vole density. We also found a negative effect of an autumn harshness index, indicating winter conditions play a role in vole density in the following season. Finally, we found evidence of a negative density-dependent relationship between autumn and early summer. Together, these findings suggest a system in which density dependence and cyclic relationships are irregular but highly influential, with environmental effects capable of enhancing or moderating their impact. Continued monitoring of voles, alongside more thorough assessments of environmental conditions, may provide additional insight into the complex population dynamics of this species.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.73142","usgsCitation":"Swanson, S., Flamme, M.J., Schmidt, J., Crimmins, S.M., Roland, C., and Kielland, K., 2026, Seasonal drivers of density in a subarctic population of northern red-backed voles: Ecology and Evolution, v. 16, no. 2, e73142, 16 p., https://doi.org/10.1002/ece3.73142.","productDescription":"e73142, 16 p.","ipdsId":"IP-180684","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":505474,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.73142","text":"Publisher Index Page"},{"id":505236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Denali National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -152.83961832470067,\n              64.08289376081066\n            ],\n            [\n              -149.25327495741448,\n              64.08289376081066\n            ],\n            [\n              -149.25327495741448,\n              62.295422352357036\n            ],\n            [\n              -152.83961832470067,\n              62.295422352357036\n            ],\n            [\n              -152.83961832470067,\n              64.08289376081066\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Swanson, Sarah","contributorId":371957,"corporation":false,"usgs":false,"family":"Swanson","given":"Sarah","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":962606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flamme, Melanie J.","contributorId":200585,"corporation":false,"usgs":false,"family":"Flamme","given":"Melanie","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":962607,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Joshua H.","contributorId":349537,"corporation":false,"usgs":false,"family":"Schmidt","given":"Joshua H.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":962608,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crimmins, Shawn M. 0000-0001-6229-5543 scrimmins@usgs.gov","orcid":"https://orcid.org/0000-0001-6229-5543","contributorId":5498,"corporation":false,"usgs":true,"family":"Crimmins","given":"Shawn","email":"scrimmins@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":962609,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roland, Carl A.","contributorId":337638,"corporation":false,"usgs":false,"family":"Roland","given":"Carl A.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":962610,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kielland, Knut","contributorId":224036,"corporation":false,"usgs":false,"family":"Kielland","given":"Knut","affiliations":[{"id":36971,"text":"University of Alaska","active":true,"usgs":false}],"preferred":false,"id":962611,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273887,"text":"cir1562 - 2026 - Artificial intelligence strategy for the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2026-02-23T22:07:47.820051","indexId":"cir1562","displayToPublicDate":"2026-02-18T17:15:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1562","displayTitle":"Artificial Intelligence Strategy for the U.S. Geological Survey","title":"Artificial intelligence strategy for the U.S. Geological Survey","docAbstract":"<p>Artificial intelligence (AI) can offer opportunities to enhance the science, science delivery, and business operations of the U.S. Geological Survey (USGS). Although USGS staff have proactively adopted AI into our workflows for many years, a comprehensive USGS strategy for AI has not previously been developed. The strategy described here is motivated by the acceleration of AI technological development, the benefits of increased AI adoption to USGS mission delivery as anticipated by USGS staff, rising public concern about the implications and trustworthiness of AI, and emerging Federal directives and guidance about AI. The USGS vision is to continue integrating AI to deliver valuable science for the public good while maintaining high ethical standards, scientific quality and integrity, and compliance with Federal and U.S. Department of the Interior requirements. To realize this vision, the USGS can take steps to (1) develop a strong AI workforce, (2) adapt our organizational approaches to include AI governance and communication, (3) ensure responsible and trustworthy use of AI, (4) modernize our computing and data infrastructure to support AI, and (5) accelerate AI adoption and innovation in the Bureau.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/cir1562","usgsCitation":"Gordon, J.M., Appling, A.P., Aretxabaleta, A., Bechtell, J.F., Burley, T.E., Carter, J.M., Esselman, P.C., Fisher, J.C., Lederer, G.W., Mitchell, J.M., Pastick, N.J., Weltzin, J., and Woods, T., 2026, Artificial intelligence strategy for the U.S. Geological Survey: U.S. Geological Survey Circular 1562, 14 p., https://doi.org/10.3133/cir1562.","productDescription":"iv, 14 p.","onlineOnly":"Y","ipdsId":"IP-173214","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":500162,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1562/cir1562.xml"},{"id":500469,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1562/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"Circular 1562"},{"id":499803,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1562/cir1562.pdf","text":"Report","size":"2.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1562"},{"id":499802,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1562/coverthb2.jpg"},{"id":500161,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1562/images"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/programs/science-analytics-and-synthesis-sas\" data-mce-href=\"https://www.usgs.gov/programs/science-analytics-and-synthesis-sas\">Science Analytics and Synthesis Program</a><br>U.S. Geological Survey<br>2P.O. Box 25046, Mail Stop 302<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Goal 1—Develop a Strong AI Workforce</li><li>Goal 2—Optimize Our Organizational Approach</li><li>Goal 3—Ensure Responsible and Trustworthy AI</li><li>Goal 4—Modernize Technical Infrastructure</li><li>Goal 5—Accelerate AI Adoption and Innovation</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li><li>Glossary</li></ul>","publishedDate":"2026-02-18","noUsgsAuthors":false,"publicationDate":"2026-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Gordon, Janice M. 0000-0001-9729-863X","orcid":"https://orcid.org/0000-0001-9729-863X","contributorId":350521,"corporation":false,"usgs":true,"family":"Gordon","given":"Janice","middleInitial":"M.","affiliations":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":955419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":955420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Aretxabaleta, Alfredo 0000-0002-9914-8018 aaretxabaleta@usgs.gov","orcid":"https://orcid.org/0000-0002-9914-8018","contributorId":140090,"corporation":false,"usgs":true,"family":"Aretxabaleta","given":"Alfredo","email":"aaretxabaleta@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":955421,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bechtell, John F. 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0009-0008-7949-0466","orcid":"https://orcid.org/0009-0008-7949-0466","contributorId":366208,"corporation":false,"usgs":true,"family":"Mitchell","given":"James","middleInitial":"M.","affiliations":[{"id":87383,"text":"Office of the AD Administration and Enterprise Information","active":true,"usgs":true}],"preferred":true,"id":955428,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pastick, Neal J. 0000-0002-4321-6739","orcid":"https://orcid.org/0000-0002-4321-6739","contributorId":267275,"corporation":false,"usgs":false,"family":"Pastick","given":"Neal","middleInitial":"J.","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":955429,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Weltzin, Jake 0000-0001-8641-6645","orcid":"https://orcid.org/0000-0001-8641-6645","contributorId":365438,"corporation":false,"usgs":false,"family":"Weltzin","given":"Jake","affiliations":[{"id":87138,"text":"formerly Senior Science Advisor, EMA, USGS, now retired.","active":true,"usgs":false}],"preferred":false,"id":955430,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Woods, Tim 0009-0005-0291-1902","orcid":"https://orcid.org/0009-0005-0291-1902","contributorId":366209,"corporation":false,"usgs":false,"family":"Woods","given":"Tim","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":955431,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70273927,"text":"sir20265114 - 2026 - Assessing natural recharge in Indian Wells Valley, California: A Basin Characterization Model case study","interactions":[],"lastModifiedDate":"2026-04-13T22:42:00.875548","indexId":"sir20265114","displayToPublicDate":"2026-02-18T12:45:00","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":"2026-5114","displayTitle":"Assessing Natural Recharge in Indian Wells Valley, California: A Basin Characterization Model Case Study","title":"Assessing natural recharge in Indian Wells Valley, California: A Basin Characterization Model case study","docAbstract":"<p>The communities in Indian Wells Valley (IWV), in the northern Mojave Desert in California, rely on groundwater for domestic and agricultural use. Mountain front recharge from the surrounding Sierra Nevada is the main source of natural recharge to the valley. Increased urbanization, agricultural development, and groundwater pumping during recent decades put IWV in a state of critical overdraft. The U.S. Geological Survey Basin Characterization Model, version 8 (BCMv8) was used to evaluate historical and future climate and hydrologic conditions in IWV. The BCMv8 estimated natural recharge in IWV at 10.7 million cubic meters (Mm<sup>3</sup>) per year for the period from 1981 to 2010. Future patterns of water balance variables using three future climate scenarios, hot-wet, hot-dry, and warm-moderately wet, were calculated for mid-century (2040–69) and end-of-century (2070–99) periods. Results for both wet models projected an increase in recharge in both periods, whereas the hot-dry model projected a decrease in recharge in both periods. All models reported a large increase in seasonal variability in recharge, indicating more future availability and frequent occurrences of drought years. All climate scenarios projected an increase in climatic water deficit in both periods. These increases in irrigation demand and variability of water supply highlight the importance of strategic management planning for the sustainability of water resources in IWV.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20265114","collaboration":"Prepared in cooperation with Kern County, California","programNote":"Water Availability and Use Science Program","usgsCitation":"Saleh, D., Flint, L., and Stern, M., 2026, Assessing natural recharge in Indian Wells Valley, California—A Basin Characterization Model case study (ver. 1.1, March 2026): U.S. Geological Survey Scientific Investigations Report 2026–5114, 34 p., https://doi.org/10.3133/sir20265114.","productDescription":"vi, 34 p.","numberOfPages":"34","onlineOnly":"Y","ipdsId":"IP-104255","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":501283,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119214.htm","linkFileType":{"id":5,"text":"html"}},{"id":500366,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2026/5114/coverthb2.jpg"},{"id":501280,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2026/5114/sir20265114.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2026-5114 XML"},{"id":501279,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20265114/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2026-5114 HTML"},{"id":501278,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2026/5114/sir20265114.pdf","text":"Report","size":"4.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2026-5114 PDF"},{"id":501281,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2026/5114/images"},{"id":501282,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2026/5114/versionHist.txt","linkFileType":{"id":2,"text":"txt"},"description":"SIR 2026-5114 Version History"}],"country":"United States","state":"California","otherGeospatial":"Indian Wells Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -118.5,\n              36.5\n            ],\n            [\n              -118.5,\n              35\n            ],\n            [\n              -117,\n              35\n            ],\n            [\n              -117,\n              36.5\n            ],\n            [\n              -118.5,\n              36.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: February 18, 2026; Version 1.1: March 18, 2026","contact":"<p><a href=\"mailto:dc_ca@usgs.gov\" data-mce-href=\"mailto:dc_ca@usgs.gov\">Director</a>,&nbsp;<a href=\"https://ca.water.usgs.gov/\" data-mce-href=\"https://ca.water.usgs.gov/\">California Water Science Center</a><br><a href=\"https://www.usgs.gov/\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>6000 J Street, Placer Hall<br>Sacramento, California 95819</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2026-02-18","revisedDate":"2026-03-18","noUsgsAuthors":false,"publicationDate":"2026-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Saleh, Dina 0000-0002-1406-9303 dsaleh@usgs.gov","orcid":"https://orcid.org/0000-0002-1406-9303","contributorId":939,"corporation":false,"usgs":true,"family":"Saleh","given":"Dina","email":"dsaleh@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955783,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Lorraine E. 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":306090,"corporation":false,"usgs":false,"family":"Flint","given":"Lorraine","email":"","middleInitial":"E.","affiliations":[{"id":66369,"text":"Earth Knowledge, Inc.","active":true,"usgs":false}],"preferred":false,"id":955784,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":955785,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70276554,"text":"70276554 - 2026 - Mixed support for the temperature-size rule in wild freshwater fishes","interactions":[],"lastModifiedDate":"2026-06-09T17:29:14.088122","indexId":"70276554","displayToPublicDate":"2026-02-18T10:24:05","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1466,"text":"Ecology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Mixed support for the temperature-size rule in wild freshwater fishes","docAbstract":"<p><span>The temperature-size rule states that species living in warmer temperatures will grow faster and mature earlier at smaller sizes. While several studies have documented patterns in average body size consistent with the temperature-size rule in wild populations, a comprehensive test is lacking. Here, we use age and length data of 1.4 million fish across 7 species from 2704 lakes to quantify temperature-related variation in growth across ontogeny. Our results show that no species fully conforms to the temperature-size rule; despite patterns of juvenile growth rate and age at maturity typically aligning with the temperature-size rule, these changes seldom translate to reduced size at maturity or maximum size. We also found evidence that faster life histories in warmer environments are associated with reduced lifespans. A deeper understanding of how temperature shapes growth in natural systems is needed to accurately predict the effects of global warming on wildlife.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ele.70344","usgsCitation":"Brooks, G.C., Frater, P.N., Jensen, O.P., Hansen, G.J., Paukert, C., Verhoeven, M., Wszola, L., Xu, L., and Feiner, Z.S., 2026, Mixed support for the temperature-size rule in wild freshwater fishes: Ecology Letters, v. 29, no. 2, e70344, 11 p., https://doi.org/10.1111/ele.70344.","productDescription":"e70344, 11 p.","ipdsId":"IP-182384","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":505486,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ele.70344","text":"Publisher Index Page"},{"id":505252,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois, Indiana, Iowa,Michigan, Minnesota, South Dakota, Wisconsin","otherGeospatial":"upper Midwest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -104.03797473002003,\n              46.076770698107566\n            ],\n            [\n              -96.5510197,\n              46.1011769\n            ],\n            [\n              -89.2270863,\n              47.138491\n            ],\n            [\n              -81.53248616939622,\n              45.898406201305875\n            ],\n            [\n              -84.9714125,\n              38.6480729\n            ],\n            [\n              -88.9138812,\n              36.6361029\n            ],\n            [\n              -91.6651667,\n              40.5263405\n            ],\n            [\n              -95.2788682,\n         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Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":962656,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Feiner, Zachary S.","contributorId":372018,"corporation":false,"usgs":false,"family":"Feiner","given":"Zachary","middleInitial":"S.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":962657,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70273951,"text":"70273951 - 2026 - A comparison of non-contact methods for measuring turbidity in the Colorado River","interactions":[],"lastModifiedDate":"2026-02-19T15:20:49.499432","indexId":"70273951","displayToPublicDate":"2026-02-18T09:13:10","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"A comparison of non-contact methods for measuring turbidity in the Colorado River","docAbstract":"<p><span>Monitoring suspended-sediment concentration (SSC) is essential to better understand how sediment transport could adversely affect water availability for human communities and ecosystems. Aquatic remote sensing methods are increasingly utilized to estimate SSC and turbidity in rivers; however, an evaluation of their quantitative performance is limited. This study evaluates the performance of three multispectral sensors, which vary in resolution and ease of deployment, to estimate turbidity in the Colorado River: the Multispectral Instrument (MSI) on board the European Space Agency’s Sentinel-2 satellite, an industrial-grade 10-band dual camera system mounted on a cable car, and a consumer-grade 6-band dual camera system positioned on the riverbank. We use multivariate linear regression to compare in situ turbidity measurements with concurrent spectral reflectance data from each sensor. Models for all three sensors selected similar spectral information and resulted in mean errors &lt;35% in predicting turbidity. A cross-sensor comparison showed that little accuracy is lost when applying models developed for satellite-based systems to ground-based systems, and vice versa. Transferability of satellite-based models to ground-based systems could support continuous water-quality monitoring between satellite overpasses and avoid issues associated with cloud interference. Conversely, continuously operating ground-based systems could be used to rapidly establish datasets and models for application in satellite imagery, thus accelerating remote sensing applications. The encouraging performance of the consumer-grade system indicates that SSC could be monitored for low cost.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/rs18040638","usgsCitation":"Day, N.K., King, T.V., and Mosbrucker, A.R., 2026, A comparison of non-contact methods for measuring turbidity in the Colorado River: Remote Sensing, v. 18, no. 4, 638, 26 p., https://doi.org/10.3390/rs18040638.","productDescription":"638, 26 p.","ipdsId":"IP-177709","costCenters":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":500256,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs18040638","text":"Publisher Index Page"},{"id":500184,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Cameo","otherGeospatial":"Colorado River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -108.22,\n              39.26\n            ],\n            [\n              -108.5833,\n              39.26\n            ],\n            [\n              -108.5833,\n              39\n            ],\n            [\n              -108.22,\n              39\n            ],\n            [\n              -108.22,\n              39.26\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"18","issue":"4","noUsgsAuthors":false,"publicationDate":"2026-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Day, Natalie K. 0000-0002-8768-5705","orcid":"https://orcid.org/0000-0002-8768-5705","contributorId":207302,"corporation":false,"usgs":true,"family":"Day","given":"Natalie","middleInitial":"K.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955899,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955900,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mosbrucker, Adam R. 0000-0003-0298-0324 amosbrucker@usgs.gov","orcid":"https://orcid.org/0000-0003-0298-0324","contributorId":4968,"corporation":false,"usgs":true,"family":"Mosbrucker","given":"Adam","email":"amosbrucker@usgs.gov","middleInitial":"R.","affiliations":[{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":955901,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273925,"text":"sir20255113 - 2026 - Treatability study to evaluate bioremediation of trichloroethene at Site K, former Twin Cities Army Ammunition Plant, Arden Hills, Minnesota, 2020–22","interactions":[],"lastModifiedDate":"2026-04-10T15:25:55.929581","indexId":"sir20255113","displayToPublicDate":"2026-02-18T08:45:00","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":"2025-5113","displayTitle":"Treatability Study to Evaluate Bioremediation of Trichloroethene at Site K, Former Twin Cities Army Ammunition Plant, Arden Hills, Minnesota, 2020–22","title":"Treatability study to evaluate bioremediation of trichloroethene at Site K, former Twin Cities Army Ammunition Plant, Arden Hills, Minnesota, 2020–22","docAbstract":"<h1>Executive Summary&nbsp;</h1><p>Chlorinated solvents, including trichloroethene (TCE) and other chlorinated volatile organic compounds (cVOCs), are widespread contaminants that can be treated by bioremediation approaches that enhance anaerobic reductive dechlorination. Reductive dechlorination can be enhanced either through the addition of an electron donor (biostimulation) or the addition of a known dechlorinating culture (bioaugmentation) along with an electron donor. Although bioremediation has been applied at many TCE-contaminated groundwater sites, application in source zones at sites where residual dense nonaqueous phase liquid (DNAPL) is present is more limited. In this study, laboratory and field treatability tests were completed to evaluate the potential application of anaerobic bioremediation for a shallow groundwater plume containing TCE in a perched alluvial aquifer at Site K, former Twin Cities Army Ammunition Plant, Arden Hills, Minnesota, which was on the National Priorities List as the New Brighton/Arden Hills Superfund site until 2019. In addition to the presence of residual DNAPL at the site, temporal variability in groundwater flow directions and input of oxygenated recharge were possible complicating factors for the application of enhanced anaerobic biodegradation in the shallow plume. The Site K plume extends beneath the footprint of Building 103, which was demolished in 2006, and soil excavations to a maximum depth of 6 feet (ft) below ground surface in 2014 were known to leave some deeper contaminated soil in place in the TCE source area. Groundwater treatment at the site, formalized as part of the 1997 Record of Decision, has been in operation since 1986 and consists of an extraction trench at the downgradient edge of the plume to collect groundwater, which is then pumped to an on-site air stripper. Groundwater concentrations in the plume have been relatively stable since treatment began, indicating a continued source of TCE in the aquifer. The desire for a destructive remedy that would enhance the removal of cVOCs in the aquifer at Site K and shorten the remediation timeframe led the U.S. Army to request that the U.S. Geological Survey conduct a groundwater treatability study to assess bioremediation. This report describes the U.S. Geological Survey bioremediation treatability study conducted during 2020–22, including pre-design site characterization to assist in formulating the bioremediation approach, laboratory experiments to support the design of the field pilot test, and implementation and 1-year performance monitoring results for the pilot test.</p><p>Pre-design site characterization included the collection of soil cores for cVOC analysis and lithologic descriptions and the re-installment of three wells to obtain hydrologic measurements and initial groundwater chemistry. Relatively flat head gradients were measured at the site, and substantial decreases in water-level elevations occurred from spring to summer (May–July 2021). Continuous water-level monitoring indicated a rapid response to precipitation. Groundwater flow velocities were consistently less than 0.5 foot per day, and the pilot bioremediation test was therefore designed with short lateral distances (about 5 ft) between injection and individual monitoring points. Soil analyses confirmed that high volatile organic compound contamination was left in place in the source area. The highest concentrations were near or in clay at the base of the perched aquifer. Concentrations of cVOCs measured in the replaced wells were consistent with historical data and had a maximum TCE concentration of 57,700 micrograms per liter (μg/L), indicative of nearby residual DNAPL based on the general rule of observed concentrations exceeding 1 percent of solubility. The primary TCE daughter product detected was 1,2-cis-dichloroethene (cisDCE), which indicated limited reductive dechlorination in the plume. Groundwater in both the source and downgradient areas was relatively reducing during the pre-design characterization, particularly in the source area where methane concentrations greater than 400 μg/L were measured.</p><p>Initial laboratory tests conducted using native aquifer microorganisms from the three replacement wells showed that anaerobic TCE biodegradation rates were low when biostimulated with the addition of sodium lactate as an electron donor, also known as a carbon donor, and resulted in the production of only cisDCE. Addition of a known dechlorinating culture, WBC-2, however, resulted in rapid biodegradation and production of ethene, verifying complete reductive dechlorination of TCE. Microcosms constructed with aquifer soil collected from the site were used to evaluate other electron donors besides lactate to support reductive dechlorination by WBC-2, including corn syrup as an alternative fast-release compound and whey, soy-based vegetable oil, and 3-D Microemulsion (Regenesis, San Clemente, California) as slow-release compounds. First-order rate constants for total organic chlorine removal in these WBC-2 amended microcosms were greatest with either lactate or vegetable oil as the donor, ranging between 0.061 and 0.047 per day or corresponding half-lives of 11–15 days. Testing of commercial products in other WBC-2-bioaugmented microcosms led to selection for the field pilot test of an emulsified vegetable oil product that also contained some sodium lactate as a fast-release donor. Delaying the addition of WBC-2 relative to the donor in the microcosms resulted in the most rapid overall biodegradation rates.</p><p>The selected design for the pilot test utilized three separate test plots, each about 30-ft wide and 60-ft long: plots GS1 and GS2 in the source area of the plume and plot GS3 in the downgradient area of the plume near the excavation trench. Each test plot had one injection well, one monitoring well upgradient from the injection point, and 12 surrounding monitoring wells in a grid to capture variable groundwater flow directions. Donor injections, which included a bromide tracer, were completed in October 2021, immediately following baseline sampling, and the WBC-2 culture was injected about 40 days later, between November 30 and December 2, 2021. Performance monitoring conducted until December 2022 included hydrologic measurements and analyses of cVOCs, redox-sensitive constituents, dissolved organic carbon, bromide, volatile fatty acids, compound-specific carbon isotopes, and microbial communities.</p><p>The biogeochemical data collected during the pilot tests in the three treatment plots showed that enhanced, complete reductive dechlorination of cVOCs in the groundwater was achieved in the GS1 and GS3 plots. In contrast, evidence of distribution of the injected amendments and subsequent biodegradation was limited in GS2, which was in an area of more heterogeneous soil lithology and low water table elevations. The molar composition of volatile organic compounds in the GS1 and GS3 plots was dominated by ethene in wells that were reached by the injected amendments by the end of the monitoring period. In the GS1 and GS3 plots, similar patterns were observed of cVOC concentrations decreasing to near detection levels, or below, at some wells sampled in July and October 2022, whereas ethene became dominant and indicated sustained complete reductive dechlorination. Baseline cVOC concentrations were more than a factor of 10 higher in the groundwater in the GS1 plot than in GS3, but no apparent inhibition of complete dechlorination occurred. As expected from the initial pre-design site data and the laboratory experiments, enhanced dissolution of residual DNAPL coupled to biodegradation was evident in the GS1 plot, where a marked increase in dichloroethene (DCE) above the initial baseline and upgradient TCE and DCE concentrations occurred. DCE concentrations subsequently declined where DNAPL dissolution was evident, concurrent with production of vinyl chloride and then predominantly ethene. Thus, overall biodegradation rates outpaced the DNAPL dissolution and desorption and DCE production in the source area. This success in complete degradation to predominantly ethene was achieved even in areas where the DCE concentrations reached a maximum of about 30,000 μg/L. Compound specific isotope analysis of carbon in TCE, cisDCE, trans-1,2-dichloroethene, and vinyl chloride was conducted to provide another line of evidence of the occurrence and extent of anaerobic biodegradation. Along a flow path in each plot that was affected by the injected amendments, carbon isotopes in the TCE and daughter cVOCs in the groundwater became isotopically heavier, indicating biodegradation.</p><p>Enhanced biodegradation rates calculated from the field tests in GS1 and GS3 showed half-lives of 36.9–75.3 days for DCE degradation and 9.48–38.5 days for ethene production. Notably, these ethene production rates calculated from the field tests are consistent with the results of WBC-2-bioaugmented microcosms amended with either lactate or vegetable oil, which had half-lives for total organic chlorine removal that ranged from 11 to 15 days. These rates indicated rapid enhanced biodegradation, which is promising for application of a full-scale bioremediation remedy. Ultimately, however, the mass of residual or sorbed TCE in the aquifer that remains accessible for dissolution and biodegradation would likely control the time required for a full-scale bioremediation effort to achieve performance goals for TCE and cisDCE specified in the Record of Decision for Site K.</p><p>The field pilot tests showed that the relatively low hydraulic head gradients and temporal changes in groundwater flow directions in the shallow aquifer would add complexity to a full-scale bioremediation effort. The radius of influence (ROI) at GS1 and GS3 (16.3 ft and 12.7 ft, respectively) were close to the design ROI of 15 ft. The estimated ROI at GS2 was about four times the design ROI, but may be less reliable at this location owing to groundwater flow direction. In addition, the low temperatures following WBC-2 injection in late November to early December 2021, in combination with the low hydraulic head gradients, were probably major factors in the delay observed before the onset of enhanced biodegradation following injection of the culture. Additional test injections could be beneficial to optimize the timing of donor and culture injections with the variable temperatures and hydraulic head in the shallow aquifer.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255113","collaboration":"Prepared in cooperation with U.S. Army Environmental Command","usgsCitation":"Lorah, M.M., Majcher, E.H., Mumford, A.C., Foss, E.P., Needham, T.P., Psoras, A.W., Livdahl, C.T., Trost, J.J., Berg, A.M., Polite, B.F., Akob, D.M., and Cozzarelli, I.M., 2026, Treatability study to evaluate bioremediation of trichloroethene at Site K, former Twin Cities Army Ammunition Plant, Arden Hills, Minnesota, 2020–22: U.S. Geological Survey Scientific Investigations Report 2025–5113, 88 p., https://doi.org/10.3133/sir20255113.","productDescription":"Report: xii, 88 p.; Data Release","numberOfPages":"88","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-175852","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":500105,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5113/images/"},{"id":500361,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119213.htm","linkFileType":{"id":5,"text":"html"}},{"id":500106,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13QTBR7","text":"USGS data release","linkHelpText":"Former Twin Cities Army Ammunition Site K treatability test data including various field measurements, laboratory tests and degradation constituents in the bioremediation of trichloroethylene and dichloroethylene, Arden Hills, Minnesota 2020–2022"},{"id":500104,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5113/sir20255113.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5113 XML"},{"id":500103,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255113/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5113 HTML"},{"id":500102,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5113/sir20255113.pdf","size":"6.92 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5113 PDF"},{"id":500101,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5113/coverthb.jpg"}],"country":"United States","state":"Minnesota","county":"Ramsey County","city":"Arden Hills","otherGeospatial":"Site K, former Twin Cities Army Ammunition Plant","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -93.17794646411902,\n              45.1090420800339\n            ],\n            [\n              -93.17794646411902,\n              45.08000250215488\n            ],\n            [\n              -93.14480906199879,\n              45.08000250215488\n            ],\n            [\n              -93.14480906199879,\n              45.1090420800339\n            ],\n            [\n              -93.17794646411902,\n              45.1090420800339\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/md-de-dc-water\" data-mce-href=\"https://www.usgs.gov/centers/md-de-dc-water\">Maryland-Delaware-D.C. Water Science Center</a><br>U.S. Geological Survey<br>5522 Research Park Drive<br>Catonsville, MD 21228</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction and Background</li><li>Purpose and Scope</li><li>Site Description and Previous Investigations</li><li>Methods</li><li>Pre-Design Site Characterization</li><li>Laboratory Tests of Enhanced Biodegradation</li><li>Performance of Bioremediation Pilot Test</li><li>Implications for Full-Scale Remedy</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2026-02-18","noUsgsAuthors":false,"publicationDate":"2026-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Lorah, Michelle M. 0000-0002-9236-587X","orcid":"https://orcid.org/0000-0002-9236-587X","contributorId":224040,"corporation":false,"usgs":true,"family":"Lorah","given":"Michelle","middleInitial":"M.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Majcher, Emily H. 0000-0001-7144-6809","orcid":"https://orcid.org/0000-0001-7144-6809","contributorId":203335,"corporation":false,"usgs":true,"family":"Majcher","given":"Emily","middleInitial":"H.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":171791,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":955774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foss, Ellie P. 0000-0001-9090-4617","orcid":"https://orcid.org/0000-0001-9090-4617","contributorId":290902,"corporation":false,"usgs":true,"family":"Foss","given":"Ellie","middleInitial":"P.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Needham, Trevor P. 0000-0001-9356-4216","orcid":"https://orcid.org/0000-0001-9356-4216","contributorId":245024,"corporation":false,"usgs":true,"family":"Needham","given":"Trevor","email":"","middleInitial":"P.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955776,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Psoras, Andrew W. 0000-0002-1779-5079","orcid":"https://orcid.org/0000-0002-1779-5079","contributorId":347166,"corporation":false,"usgs":true,"family":"Psoras","given":"Andrew","middleInitial":"W.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955777,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Livdahl, Colin T. 0000-0002-1743-9891","orcid":"https://orcid.org/0000-0002-1743-9891","contributorId":333601,"corporation":false,"usgs":true,"family":"Livdahl","given":"Colin T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955778,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Trost, Jared J. 0000-0003-0431-2151 jtrost@usgs.gov","orcid":"https://orcid.org/0000-0003-0431-2151","contributorId":3749,"corporation":false,"usgs":true,"family":"Trost","given":"Jared","email":"jtrost@usgs.gov","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955779,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Berg, Andrew M. 0000-0001-9312-240X aberg@usgs.gov","orcid":"https://orcid.org/0000-0001-9312-240X","contributorId":5642,"corporation":false,"usgs":true,"family":"Berg","given":"Andrew","email":"aberg@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955780,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Polite, Bridgette F. 0000-0002-2861-6064","orcid":"https://orcid.org/0000-0002-2861-6064","contributorId":290575,"corporation":false,"usgs":true,"family":"Polite","given":"Bridgette","email":"","middleInitial":"F.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":955786,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Akob, Denise M. 0000-0003-1534-3025","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":204701,"corporation":false,"usgs":true,"family":"Akob","given":"Denise M.","affiliations":[{"id":37277,"text":"WMA - 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,{"id":70274549,"text":"70274549 - 2026 - Channel change and sediment transport in the Puyallup River watershed through 2022","interactions":[],"lastModifiedDate":"2026-03-31T13:38:43.216394","indexId":"70274549","displayToPublicDate":"2026-02-18T08:35:50","publicationYear":"2026","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Channel change and sediment transport in the Puyallup River watershed through 2022","docAbstract":"<p><span>The Puyallup River drains a 990 square mile watershed in western Washington, with headwaters on the glacier-covered flanks of Mount Rainier. Major tributaries include the White, Carbon, and Mowich Rivers. In the levee-confined reaches of the lower watershed, loss of flood conveyance due to sand and gravel deposition has been a chronic issue. Over much of the 20th century, flood conveyance was maintained through sediment removal, but this practice ended in the late 1990s. Flood hazard management activities since the 1990s have primarily involved levee removal or setback projects. Assessments of 1984-2009 repeat cross sections suggested that sediment deposition rates were particularly high in reaches with recent levee setbacks. However, there have been no assessments of recent deposition rates since the 2009 surveys. There are also concerns that intensifying flood hydrology or increased sediment delivery from Mount Rainier may exacerbate deposition. However, assessment of those risks has been hindered by limited understanding of watershed-scale sediment delivery and routing, particularly for coarse sand and gravel.</span><br><br><span>The U.S. Geological Survey, in cooperation with Pierce County, initiated this study to improve understanding of sediment deposition in the lower Puyallup River watershed. This work is primarily based on differencing of multiple aerial lidar datasets collected during 2002–2022, supplemented by early 1990 photogrammetric elevation datasets, geomorphic assessments of streamgage data, historical topographic surveys from 1907, and previously collected sediment transport measurements. Analyses cover the Puyallup, Carbon, and Mowich Rivers, but do not include the White River.</span><br><br><span>During 2004–2020, repeat aerial lidar indicates that 1.3 ± 0.3 million yd3 of sediment accumulated in the lower 20 valley miles (VMs) of the Puyallup River, averaging 80,000 ± 20,000 cubic yards per year (yd3/yr). Deposition was observed during both 2004–11 and 2011–20 lidar differencing intervals. This continued a long-term depositional trend that extends back to at least 1977. From 2004 to 2011, deposition rates along the Soldiers Home levee setback reach, the only setback project downstream of VM 20 completed prior to 2011, were approximately four times higher than in adjacent unmodified reaches. From 2011 to 2020, two additional setback projects were completed; volumetric deposition rates over all three setback reaches were similar to adjacent unmodified reaches, suggesting elevated setback deposition in the 2004–11 interval may have been influenced by an extreme flood in November 2006. These levee setback projects increased the local cross-sectional area of the floodway, used as a rough proxy for relative flood conveyance, by 50 to 200 percent above 2004 conditions. If deposition continued at recent rates, cross-sectional area over the levee setback reaches would be reduced back to 2004 values by 2050-90.</span><br><br><span>Deposition also occurred over the lower six VMs of the Carbon River during 2004–20, though volumes (0.15 ± 0.09 million yd3) were an order of magnitude lower than along the Puyallup River. Relatively lower deposition rates in the Carbon River are most likely the combined result of modestly lower incoming sediment loads, modestly steeper channel slope, and the additional sediment transport capacity provided by two large non-glacial tributaries that enter the Carbon River near VM 5.</span><br><br><span>Upstream of the depositional reaches described above, 2002–22 sediment storage trends along the Puyallup, Carbon, and Mowich Rivers were predominately negative (net erosion) up to the Mount Rainier National Park boundary. Net erosion was the result of bank and bluff erosion exceeding deposition across wetted channel and bare gravel areas, as opposed to uniform vertical downcutting. Net erosion along these river valleys delivered 3.4 ± 0.6 million yd3 to the river system, equivalent to 190,000 ± 35,000 yd3/yr. Most of that volume was supplied by erosion of relatively low (4–10 ft) surfaces along the Puyallup and Mowich Rivers and tall (300 ft) glacial bluffs along the lower Carbon River. Substantial aggradation from 1984 to 2009 reported by Czuba and others (2010) along reaches of the Puyallup River (VM 19–22) where levee confinement has recently been removed was most likely an artifact of methodologic bias.</span><br><br><span>The Puyallup, Mowich, and Carbon Rivers drain five distinct glaciated watersheds on the flanks of Mount Rainier, four of which were assessed in this study. All four watersheds were impacted by an extreme November 2006 rainstorm. Between 2002 and 2008, debris flows occurred in all four headwater areas, collectively eroding at least 2.1 million yd3 of sediment. These debris flows formed distinct deposits one to two miles downstream of source areas, depositing 30-50 percent of the material eroded upstream. From 2008 to 2022, no headwater debris flows were observed and overall rates of geomorphic change in the headwaters were low. Rivers eroded into debris flow deposits emplaced over the 2002–08 interval, but re-deposited equivalent volumes of material within a half mile downstream.</span><br><br><span>Stage-discharge relations at five streamgages on upland rivers draining Mount Rainier show either net channel incision or dynamic variability with no long-term trend over the past 60–100 years. Observations of pervasive river valley erosion and stable or incising trends at long-term streamgages in the upper watershed do not support prior claims of widespread and accelerating aggradation of upland rivers draining Mount Rainier.</span><br><br><span>Erosion and deposition volumes estimated in this report were combined with sediment transport estimates from limited suspended sediment and bedload measurements, estimates of sub-glacial erosion rates, and sediment delivery from non-glacial tributaries to construct watershed-scale sediment budgets for the Puyallup River watershed. During 2004–20, the estimated sediment load entering the depositional lowlands was well balanced by estimated inputs from, in order of relative magnitude, subglacial erosion (33–60 percent of total sediment load), erosion along the major river valleys (25–45 percent), erosion in recently deglaciated headwater areas (7–17 percent) and non-glacial tributaries (3–9 percent). These results are specific to the study period and represent total sediment loads, most of which is fine material carried in suspension. The relative sourcing of sand and gravel may be different than implied by this sediment budget.</span><br><br><span>Downstream of VM 12, comparison of 1907 and 2009 channel surveys show net lowering of the channel thalweg of 4–12 ft. A long-term gage near VM 22 shows lowering of 4–5 ft through the 1960s. Lowering at both locations was inferred to be a channel response to the substantial straightening, and so steepening, of the river during major phases of levee construction through the early and mid-20th century.</span><br><br><span>Application of a simple empirical bedload-discharge power-law relation to an ensemble of model-estimated daily mean discharge records in the lower Puyallup River between 1977 and 2100 projects that annual bedload transport capacity in the lower Puyallup River will increase by 20–60 percent by the middle of the 21st century. Actual changes in bedload transport and deposition rates will depend on concurrent changes in sediment supply and local hydraulics governing deposition.</span><br><br><span>This report presents several key conclusions. First, the persistence and spatial patterns of sand and gravel deposition along the lower Puyallup River support prior claims that deposition is fundamentally caused by decreases in channel slope moving downstream. Given this underlying cause and the abundance of sand and gravel available to be transported downstream, deposition is likely to continue for the foreseeable future. Second, despite continued sediment deposition, recent levee setback projects in the lower Puyallup River will likely provide several decades of flood conveyance benefits relative to a no-action alternative. Third, while the rivers linking Mount Rainier to the Puget Sound lowlands have often been discussed as conduits that either pass or accumulate sediment from Mount Rainier, observations from 2002–22 show these river valleys acting as substantial sediment sources, delivering three times more sediment than recently deglaciated headwater areas on Mount Rainier. While the persistence and underlying cause of recent river valley erosion remain unknown, sediment storage dynamics along these river valleys are likely to be a major control on sand and gravel delivery to the lower watershed.</span></p>","language":"English","publisher":"EarthArXiv","doi":"10.31223/X5HR0N","usgsCitation":"Anderson, S.W., 2026, Channel change and sediment transport in the Puyallup River watershed through 2022: EarthArXiv, preprint posted February 18, 2026, https://doi.org/10.31223/X5HR0N.","productDescription":"189 p.","ipdsId":"IP-180215","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":501853,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Scott W. 0000-0003-1678-5204 swanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-1678-5204","contributorId":196687,"corporation":false,"usgs":true,"family":"Anderson","given":"Scott","email":"swanderson@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958251,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70273944,"text":"70273944 - 2026 - Decreased water transparency of nearshore Laurentian Great Lakes habitats is driven by increased dissolved organic carbon.","interactions":[],"lastModifiedDate":"2026-02-19T15:40:54.381085","indexId":"70273944","displayToPublicDate":"2026-02-18T08:33:12","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Decreased water transparency of nearshore Laurentian Great Lakes habitats is driven by increased dissolved organic carbon.","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Little is understood of lake browning (due to increased dissolved organic carbon; DOC) in large lakes such as the Laurentian Great Lakes. Lake browning can alter whole lake ecosystems, including decreasing exposure to damaging ultraviolet radiation (UV-B) which is strongly and selectively attenuated by DOC more so than photosynthetically active radiation (PAR). We compared the changes in UV-B and PAR transparency to DOC data collected during the ice-free seasons from 62 nearshore sites in four of the five Great Lakes from 2002 to 2022 using linear mixed effects regression models based on backwards selected Bayesian information criteria. Regionally, DOC significantly increased from 2002 to 2022 by 0.5% per year on average. DOC strongly and inversely explained the variability of UV-B and PAR transparencies, as did seasons and offshore influence on these habitats. We provide regional evidence of lake browning within the nearshore habitats of the Great Lakes as a strong contrast to the well-documented increased offshore water transparency associated with the spread of invasive dreissenid mussels.</span></span></p>","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2024-0407","usgsCitation":"Berry, N., Bunnell, D.B., Fisher, T., Overholt, E., Mette, E., Howell, T., and Williamson, C.E., 2026, Decreased water transparency of nearshore Laurentian Great Lakes habitats is driven by increased dissolved organic carbon.: Canadian Journal of Fisheries and Aquatic Sciences, v. 83, p. 1-9, https://doi.org/10.1139/cjfas-2024-0407.","productDescription":"9 p.","startPage":"1","endPage":"9","ipdsId":"IP-170502","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":500258,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2024-0407","text":"Publisher Index Page"},{"id":500189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Great Lakes","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.84751857840234,\n              49.471311017762645\n            ],\n            [\n              -92.81669615927237,\n              46.920316633964475\n            ],\n            [\n              -91.56012545582533,\n              46.18295137477036\n            ],\n            [\n              -87.0507208161673,\n              46.41933841908485\n            ],\n            [\n              -88.74219710454639,\n              43.914354385501326\n            ],\n            [\n              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-88.84751857840234,\n              49.471311017762645\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"83","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Berry, Nicole Lynn 0000-0002-7889-197X","orcid":"https://orcid.org/0000-0002-7889-197X","contributorId":347450,"corporation":false,"usgs":true,"family":"Berry","given":"Nicole Lynn","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":955877,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bunnell, David B. 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":216540,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":955878,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fisher, Thomas J. 0000-0001-5885-7646","orcid":"https://orcid.org/0000-0001-5885-7646","contributorId":347464,"corporation":false,"usgs":false,"family":"Fisher","given":"Thomas J.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":955879,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Overholt, Erin P. 0000-0001-9078-7086","orcid":"https://orcid.org/0000-0001-9078-7086","contributorId":347452,"corporation":false,"usgs":false,"family":"Overholt","given":"Erin P.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":955880,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mette, Elizabeth M. 0009-0007-9622-1260","orcid":"https://orcid.org/0009-0007-9622-1260","contributorId":347466,"corporation":false,"usgs":false,"family":"Mette","given":"Elizabeth M.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":955881,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Howell, Todd","contributorId":294685,"corporation":false,"usgs":false,"family":"Howell","given":"Todd","affiliations":[{"id":63627,"text":"Ontario Ministry of Environment and Climate Change","active":true,"usgs":false}],"preferred":false,"id":955882,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Williamson, Craig E. 0000-0001-7350-1912","orcid":"https://orcid.org/0000-0001-7350-1912","contributorId":347472,"corporation":false,"usgs":false,"family":"Williamson","given":"Craig","middleInitial":"E.","affiliations":[{"id":16608,"text":"Miami University","active":true,"usgs":false}],"preferred":false,"id":955883,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70274031,"text":"70274031 - 2026 - Action in uncertainty: Data-driven decisions that acknowledge emotional responses and transcendental connections","interactions":[],"lastModifiedDate":"2026-04-20T15:49:55.289207","indexId":"70274031","displayToPublicDate":"2026-02-18T07:59:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23303,"text":"ESA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Action in uncertainty: Data-driven decisions that acknowledge emotional responses and transcendental connections","docAbstract":"The increasing uncertainty with global change often stifles action and results in calls for more data before moving beyond status quo environmental decisions (Mahapatra &amp; Ratha 2017; Ripple et al. 2017; Montefalcone et al. 2025). Advancing science and collecting more data is crucial; however, science alone (i.e., “western” or “positivist” science, as described in Fuller, 2001; Reid et al. 2020) may be insufficient to reduce uncertainty to a comfortable level for decision making. Therefore, increasing personal and collective capacity to make proactive decisions may require decision makers to recognize that their own understanding of the world, and therefore interpretation of scientific data, is influenced by all Four Realms of human perception: Physical, Mental, Emotional, and Transcendental (Wolf 2017; Dukes et al. 2021; Clifford et al. 2022).\nIn the ESA Special Session, Action in Uncertainty, we introduced four questions to help participants increase cognitive awareness of how all Four Realms may affect their understanding in uncertain environmental decision contexts:\n\n1. Physical: How do I observe uncertainty through the five senses (feel, see, hear, taste, smell)?\nThe physical realm is what people observe, including ecological data observations and\nexperimentation.\n\n2. Mental: How do I think about uncertainty using logic, reason, and language-based\nunderstanding? The mental realm is how people think about the world, including scientific\ntheory, modeling, and decision frameworks.\n\n3. Emotional: How do I feel in uncertainty? The emotional realm is a person’s subjective emotional state, such as fear, curiosity, defensiveness, and awe.\n\n4. Transcendental: How do I connect to something greater than myself in uncertainty? The\ntranscendental realm includes people’s sense of purpose, responsibility for others, or moral\ncode.","language":"English","publisher":"Ecological Society of America","doi":"10.1002/bes2.70071","usgsCitation":"Ward, N.K., Guilbeau, K.G., Sesser, A.L., and Lynch, A.J., 2026, Action in uncertainty: Data-driven decisions that acknowledge emotional responses and transcendental connections: ESA Bulletin, v. 107, no. 2, e70071, 10 p., https://doi.org/10.1002/bes2.70071.","productDescription":"e70071, 10 p.","ipdsId":"IP-183744","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":500338,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500826,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/bes2.70071","text":"Publisher Index Page"}],"volume":"107","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Ward, Nicole K.","contributorId":366783,"corporation":false,"usgs":false,"family":"Ward","given":"Nicole","middleInitial":"K.","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":956220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Guilbeau, Kelly G.","contributorId":366784,"corporation":false,"usgs":false,"family":"Guilbeau","given":"Kelly","middleInitial":"G.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":956221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sesser, Amanda L.","contributorId":366785,"corporation":false,"usgs":false,"family":"Sesser","given":"Amanda","middleInitial":"L.","affiliations":[{"id":62402,"text":"Prescott College","active":true,"usgs":false}],"preferred":false,"id":956222,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":207361,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":956223,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273963,"text":"70273963 - 2026 - Rising atmospheric CO2 reduces nitrogen availability in boreal forests","interactions":[],"lastModifiedDate":"2026-02-23T14:14:56.466551","indexId":"70273963","displayToPublicDate":"2026-02-18T07:44:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rising atmospheric CO<sub>2</sub> reduces nitrogen availability in boreal forests","title":"Rising atmospheric CO2 reduces nitrogen availability in boreal forests","docAbstract":"<p>Anthropogenic nitrogen (N) pollution has been emphasized as a cause of eutrophication globally. However, several recent datasets have suggested widespread oligotrophication may be occurring in some ecosystems, which is suggested to be a response to rising atmospheric carbon dioxide (eCO<sub>2</sub>). Plant δ<sup>15</sup>N chronologies have served as primary evidence for oligotrophication, however, there has been wide disagreement whether eCO<sub>2 </sub>or temporal changes in N deposition explain these patterns. We constructed δ<sup>15</sup>N tree ring chronologies across Sweden’s 23.5 million hectare productive forest area from the 1950s to 2010s. The study area spans a 1500 km latitudinal distance where N deposition varies four-fold, but where eCO<sub>2</sub> is spatially uniform. Our data revealed negative δ<sup>15</sup>N chronologies throughout Sweden, including forests in the far north where atmospheric N deposition rates are very low. Linear mixed effects models showed that eCO<sub>2</sub> was by far the strongest predictor of δ<sup>15</sup>N values, whereas N deposition variables, temperature, and forest basal area had much lower explanatory power. Our results clarify debates on the interpretation of previous δ<sup>15</sup>N chronologies, and provide clear evidence that eCO<sub>2</sub> is causing oligotrophication in boreal forests, which has implications for predicting their future role as sinks in the global carbon cycle.</p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41586-025-10039-5","usgsCitation":"Bassett, K.R., Hupperts, S.F., Jämtgård, S., Östlund, L., Fridman, J., Perakis, S.S., and Gundale, M.J., 2026, Rising atmospheric CO2 intensifies nitrogen limitation in boreal forests: Nature, no. 650, p. 629-635, https://doi.org/10.1038/s41586-025-10039-5.","productDescription":"7 p.","startPage":"629","endPage":"635","ipdsId":"IP-173383","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":500187,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500257,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41586-025-10039-5","text":"Publisher Index Page"}],"country":"Sweden","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              14.63346302221828,\n              66.95808924222021\n            ],\n            [\n              11.816628950923374,\n              62.8816235388625\n            ],\n            [\n              10.714598292419112,\n              55.39166409191142\n            ],\n            [\n              12.399827072155716,\n              54.583535462334794\n            ],\n            [\n              15.194165810541499,\n              55.5418316669677\n            ],\n            [\n              18.56862330588048,\n              56.05323191584169\n            ],\n            [\n              20.49382747838886,\n              62.91560998030781\n            ],\n            [\n              24.239407941016225,\n              65.83107952726502\n            ],\n            [\n              23.93671762466677,\n              67.79623029566048\n            ],\n            [\n              20.84193122924367,\n              68.85442260744358\n            ],\n            [\n              17.380981641240524,\n              68.36281881641594\n            ],\n            [\n              14.63346302221828,\n              66.95808924222021\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","issue":"650","noUsgsAuthors":false,"publicationDate":"2026-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Bassett, Kelley R.","contributorId":366455,"corporation":false,"usgs":false,"family":"Bassett","given":"Kelley","middleInitial":"R.","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":955928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hupperts, Stefan F.","contributorId":366456,"corporation":false,"usgs":false,"family":"Hupperts","given":"Stefan","middleInitial":"F.","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":955929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jämtgård, Sandra","contributorId":366457,"corporation":false,"usgs":false,"family":"Jämtgård","given":"Sandra","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":955930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Östlund, Lars","contributorId":366458,"corporation":false,"usgs":false,"family":"Östlund","given":"Lars","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":955931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fridman, Jonas","contributorId":366459,"corporation":false,"usgs":false,"family":"Fridman","given":"Jonas","affiliations":[{"id":12666,"text":"Swedish University of Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":955932,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perakis, Steven S. 0000-0003-0703-9314 sperakis@usgs.gov","orcid":"https://orcid.org/0000-0003-0703-9314","contributorId":145528,"corporation":false,"usgs":true,"family":"Perakis","given":"Steven","email":"sperakis@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":955933,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gundale, Michael J.","contributorId":299675,"corporation":false,"usgs":false,"family":"Gundale","given":"Michael","middleInitial":"J.","affiliations":[{"id":64928,"text":"SLU","active":true,"usgs":false}],"preferred":false,"id":955934,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70274186,"text":"70274186 - 2026 - A targeted approach for mapping groundwater discharge to surface water and fish thermal refuge in four Lake Ontario tributaries","interactions":[],"lastModifiedDate":"2026-03-09T15:01:06.104632","indexId":"70274186","displayToPublicDate":"2026-02-17T15:04:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7176,"text":"Hydrologic Processes","active":true,"publicationSubtype":{"id":10}},"title":"A targeted approach for mapping groundwater discharge to surface water and fish thermal refuge in four Lake Ontario tributaries","docAbstract":"<p><span>The duration, magnitude, and frequency of heatwaves are predicted to increase in the coming decades, a combination that can reduce the survival of many fish species. Across the world, there is broad interest in identifying thermal refuge for heat-intolerant fish species and exploring opportunities to enhance or protect these areas. Because deeper groundwater maintains a relatively constant temperature, groundwater-influenced areas along streams can provide cool-water refuge for fish during periods of extreme heat. A targeted approach was developed for identifying existing cold-water zones and areas of substantial groundwater discharge in four high priority Lake Ontario tributaries. Our approach included: (1) predicting where groundwater discharge is most likely with a simple geospatial model and (2) using model predictions to select field sites for intensive high-resolution study, including ground-based mapping of groundwater features (springs, seeps, tributaries) as well as drone-based optical and thermal infrared surveys. Results from field sites were used to both verify model performance and map different types and aerial extents of thermal anomalies. Geospatial modelling successfully predicted regions of widespread groundwater upwelling, later verified and mapped by field and drone surveys. Comparison of model and field survey results further highlighted specific geospatial layers, such as soil/bedrock types and topographic wetness index, as being particularly useful for predicting groundwater influence on streams in the study area. In addition, a comparison of geospatial model results with a model of fish abundances along the studied streams showed significant positive correlations for many heat-intolerant fish species over a wide geographic area. The approach developed in this study can be applied to other watersheds to highlight areas of probable groundwater discharge and could be used by fishery and water resource managers to support cold-water fish habitat management decision-making and resource conservation.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70459","usgsCitation":"Woda, J., Terry, N., Kelley, D.J., Finkelstein, J., Gazoorian, C.L., and McKenna, J., 2026, A targeted approach for mapping groundwater discharge to surface water and fish thermal refuge in four Lake Ontario tributaries: Hydrologic Processes, v. 40, e70459, 16 p., https://doi.org/10.1002/hyp.70459.","productDescription":"e70459, 16 p.","ipdsId":"IP-176833","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":501102,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/hyp.70459","text":"Publisher Index Page"},{"id":500774,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"New York","otherGeospatial":"Lake Ontario","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.34397142741707,\n              44.03795020350384\n            ],\n            [\n              -80.34397142741707,\n              42.83906785974037\n            ],\n            [\n              -75.35823758327766,\n              42.83906785974037\n            ],\n            [\n              -75.35823758327766,\n              44.03795020350384\n            ],\n            [\n              -80.34397142741707,\n              44.03795020350384\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","noUsgsAuthors":false,"publicationDate":"2026-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Woda, Joshua C. 0000-0002-2932-8013","orcid":"https://orcid.org/0000-0002-2932-8013","contributorId":290172,"corporation":false,"usgs":true,"family":"Woda","given":"Joshua","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terry, Neil C. 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":956840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelley, David J 0000-0002-0143-0956","orcid":"https://orcid.org/0000-0002-0143-0956","contributorId":367137,"corporation":false,"usgs":true,"family":"Kelley","given":"David","middleInitial":"J","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956841,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Finkelstein, Jason S. 0000-0002-7496-7236","orcid":"https://orcid.org/0000-0002-7496-7236","contributorId":202452,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Jason S.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956842,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gazoorian, Christopher L. 0000-0002-5408-6212 cgazoori@usgs.gov","orcid":"https://orcid.org/0000-0002-5408-6212","contributorId":2929,"corporation":false,"usgs":true,"family":"Gazoorian","given":"Christopher","email":"cgazoori@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":956843,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McKenna, James E. Jr. 0000-0002-1428-7597 jemckenna@usgs.gov","orcid":"https://orcid.org/0000-0002-1428-7597","contributorId":190798,"corporation":false,"usgs":true,"family":"McKenna","given":"James E.","suffix":"Jr.","email":"jemckenna@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":956844,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273863,"text":"ofr20261062 - 2026 - Preliminary bedrock geologic map of the Port Henry quadrangle, Essex County, New York, and Addison County, Vermont","interactions":[],"lastModifiedDate":"2026-02-20T18:15:51.013573","indexId":"ofr20261062","displayToPublicDate":"2026-02-17T13:05:00","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":"2026-1062","displayTitle":"Preliminary Bedrock Geologic Map of the Port Henry Quadrangle, Essex County, New York, and Addison County, Vermont","title":"Preliminary bedrock geologic map of the Port Henry quadrangle, Essex County, New York, and Addison County, Vermont","docAbstract":"<h1>Introduction&nbsp;</h1><p>The bedrock geology of the 7.5-minute Port Henry quadrangle consists of deformed and metamorphosed Mesoproterozoic gneisses of the Adirondack Highlands unconformably overlain by weakly deformed lower Paleozoic sedimentary rocks of the Champlain Valley. The Mesoproterozoic rocks occur on the eastern edge of the Adirondack Highlands and represent an extension of the Grenville Province of Laurentia. Mesoproterozoic paragneiss, marble, and amphibolite hosted the emplacement of an anorthosite-mangerite-charnockite-granite (AMCG) suite, now exposed mostly as orthogneiss, at approximately 1.18–1.15 Ga (giga-annum). In the Port Henry quadrangle, the AMCG metaigneous rocks (Yhg, Ygb, Yanw) intruded older, mostly metasedimentary rocks of the Grenville Complex during the middle to late Shawinigan orogeny (~1,160–1,150 Ma [mega-annum]). All rocks were subsequently metamorphosed to upper amphibolite to granulite facies conditions during the 1,080–1,050 Ma Ottawan orogeny. New mapping reveals four periods of deformation: (1) D1 produced rarely preserved isoclinal folds in the paragneiss and marble and predates AMCG magmatism. (2) Subsequent D2 deformation produced the dominant gneissic fabric preserved in the rock, recumbent folding, and deformed all the Proterozoic units in the map area. Syn- to late-D2 felsic magmatism resulted in the regionally extensive Lyon Mountain Granite Gneiss, which hosts numerous magnetite ore bodies. (3) Mylonitic extensional shear zones and core complex formation marked the beginning of D3 deformation. Protracted D3 deformation resulted in F3 upright folding, dome and basin formation, pegmatite intrusion, reactivation of the S2 foliation, partial melting, metamorphism, metasomatism, iron-ore remobilization, and intrusion of magnetite-bearing pegmatite both as layer-parallel sills and crosscutting dikes. (4) D4 created northeast- and northwest-trending local high-grade ductile shear zones and boudinage, northwest-trending regional kilometer (km)-wide ductile shear zones, and crosscutting granitic pegmatite dikes. The development of the late-stage regional shear zones (D4) was likely due to the continuation of extensional doming and uplift from upper amphibolite facies conditions at the end of the Ottawan orogeny. The majority of iron-ore deposits in the Port Henry and adjacent Witherbee quadrangles are in the hanging wall of these extensional shear zones. In the Port Henry quadrangle, the km-wide Cheney Mountain shear zone is the result of D4 deformation. Kilometer-scale lineaments readily observed in lidar data are Ediacaran mafic dikes and Phanerozoic brittle faults. The Paleozoic rocks are part of the Early Cambrian to Late Ordovician carbonate bank on the ancient margin of Laurentia. The approximately 1-km-thick Cambrian to Ordovician stratigraphy records a transition from synrift clastics to passive-margin peritidal carbonate buildups to gradually deeper-water subtidal- to shelf-carbonates during foreland basin development associated with the Taconic orogeny. The Paleozoic rocks are weakly folded and block faulted. Large areas of the Champlain Valley are covered by undifferentiated glacial deposits, some of which contain mapped landslides. The map also shows waste rock piles and tailings from historical mining operations.</p><p>This study was undertaken to improve our understanding of the bedrock geology in the Adirondack Highlands, establish a modern framework for 1:24,000-scale bedrock geologic mapping in the Adirondacks, provide a context for historical iron mines in the eastern Adirondacks, and update the stratigraphy of the Champlain Valley in New York and Vermont. This Open-File Report includes a bedrock geologic map; a description of map units; a correlation of map units; and a geographic information system database that includes bedrock geologic units, faults, outcrops, and structural geologic information.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261062","collaboration":"Prepared in cooperation with the State of Vermont, Vermont Agency of Natural Resources, Vermont Geological Survey and the State of New York, Department of Education, New York Geological Survey","programNote":"National Cooperative Geologic Mapping Program","usgsCitation":"Valley, P.M., Parker, M., Walsh, G.J., Orndorff, R.C., Walton, M.S., Jr., and Crider, E.A., Jr., 2026, Preliminary bedrock geologic map of the Port Henry quadrangle, Essex County, New York, and Addison County, Vermont: U.S. Geological Survey Open-File Report 2026–1062, 1 sheet, scale 1:24,000, https://doi.org/10.3133/ofr20261062.","productDescription":"1 Sheet: 63.17 x 30.58 inches; Data Release","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-158945","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":500360,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_119212.htm","linkFileType":{"id":5,"text":"html"}},{"id":499704,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13HYFPM","text":"USGS data release","linkHelpText":"Database for the preliminary bedrock geologic map of the Port Henry quadrangle, Essex County, New York, and Addison County, Vermont"},{"id":499702,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1062/coverthb4.jpg"},{"id":499703,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1062/ofr20261062.pdf","text":"Sheet","size":"5.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1062 PDF"}],"country":"United States","state":"New York, Vermont","county":"Addison County, Essex County","otherGeospatial":"Port Henry quadrangle","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.5,\n              44.125\n            ],\n            [\n              -73.5,\n              44\n            ],\n            [\n              -73.375,\n              44\n            ],\n            [\n              -73.375,\n              44.125\n            ],\n            [\n              -73.5,\n              44.125\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/florence-bascom-geoscience-center\" data-mce-href=\"https://www.usgs.gov/centers/florence-bascom-geoscience-center\">Florence Bascom Geoscience Center</a><br>U.S. Geological Survey<br>926A National Center<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Introduction</li><li>Acknowledgments</li><li>Description of Map Units</li><li>Explanation of Map Symbols</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2026-02-17","noUsgsAuthors":false,"publicationDate":"2026-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Valley, Peter M. 0000-0002-9957-0403 pvalley@usgs.gov","orcid":"https://orcid.org/0000-0002-9957-0403","contributorId":4809,"corporation":false,"usgs":true,"family":"Valley","given":"Peter","email":"pvalley@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":955309,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Mercer 0000-0001-6683-6458 mercerparker@usgs.gov","orcid":"https://orcid.org/0000-0001-6683-6458","contributorId":203174,"corporation":false,"usgs":true,"family":"Parker","given":"Mercer","email":"mercerparker@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":955310,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Gregory J. 0000-0003-4264-8836","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":355444,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":955311,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":955312,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walton, Matt S. Jr.","contributorId":33335,"corporation":false,"usgs":true,"family":"Walton","given":"Matt","suffix":"Jr.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":955314,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Crider,, E. Allen Jr. 0000-0003-2393-5290 ecrider@usgs.gov","orcid":"https://orcid.org/0000-0003-2393-5290","contributorId":203507,"corporation":false,"usgs":true,"family":"Crider,","given":"E. Allen","suffix":"Jr.","email":"ecrider@usgs.gov","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":955313,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70274072,"text":"70274072 - 2026 - Detecting snow avalanche activity using infrasound: Hooker Valley, New Zealand","interactions":[],"lastModifiedDate":"2026-02-23T16:38:05.726917","indexId":"70274072","displayToPublicDate":"2026-02-17T10:28:52","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2869,"text":"New Zealand Journal of Geology and Geophysics","active":true,"publicationSubtype":{"id":10}},"title":"Detecting snow avalanche activity using infrasound: Hooker Valley, New Zealand","docAbstract":"<p><span>Snow avalanches pose considerable hazards to people and infrastructure in alpine environments. Traditional avalanche monitoring relies on meteorological data and visual observations, which can be limited in scope and timeliness. Infrasound offers a promising complementary monitoring tool by detecting the low-frequency sound waves generated by avalanches. Here, we present infrasound and camera observations during a 50-day field campaign in the Hooker Valley of Aoraki/Mount Cook National Park, New Zealand. Our study detected seven avalanches with the cameras, whereas the infrasound system identified only one of these events, which was the largest and occurred under conditions that likely favoured infrasound propagation. The infrasound system recorded numerous other events not captured by the cameras, indicating the benefit of further investigation to determine their sources. These findings highlight the potential of infrasound technology for detecting avalanches and providing broad spatial coverage, capturing events in areas not monitored by cameras, while also showcasing limitations in infrasound capabilities. The limited detection of smaller avalanches underscores the opportunity for further research to enhance detection capabilities and understand environmental influences such as snow cover and wind noise. Overall, this study emphasises the utility of multidisciplinary monitoring techniques to improve avalanche detection in alpine environments.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/jgo2.70015","usgsCitation":"Watson, L., Miller, A., Anderson, J., Toney, L., Ardid, A., 2026, Detecting snow avalanche activity using infrasound: Hooker Valley, New Zealand: New Zealand Journal of Geology and Geophysics, v. 69, no. 1, e70015, 16 p., https://doi.org/10.1002/jgo2.70015.","productDescription":"e70015, 16 p.","ipdsId":"IP-175825","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":500586,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jgo2.70015","text":"Publisher Index Page"},{"id":500419,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","city":"Hooker Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              170.26486817242153,\n              -43.599726450780764\n            ],\n            [\n              170.1412259579667,\n              -43.599726450780764\n            ],\n            [\n              170.1412259579667,\n              -43.721673594304434\n            ],\n            [\n              170.26486817242153,\n              -43.721673594304434\n            ],\n            [\n              170.26486817242153,\n              -43.599726450780764\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"69","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Watson, Leighton 0000-0003-1127-3613","orcid":"https://orcid.org/0000-0003-1127-3613","contributorId":366966,"corporation":false,"usgs":false,"family":"Watson","given":"Leighton","affiliations":[{"id":87515,"text":"University of Canterbury, Christchurch, New Zealand","active":true,"usgs":false}],"preferred":false,"id":956439,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Aubrey","contributorId":355134,"corporation":false,"usgs":false,"family":"Miller","given":"Aubrey","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":956440,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Jacob F. 0000-0001-6447-6778","orcid":"https://orcid.org/0000-0001-6447-6778","contributorId":268017,"corporation":false,"usgs":false,"family":"Anderson","given":"Jacob F.","affiliations":[{"id":16201,"text":"Boise State University","active":true,"usgs":false}],"preferred":false,"id":956441,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Toney, Liam 0000-0003-0167-9433","orcid":"https://orcid.org/0000-0003-0167-9433","contributorId":257264,"corporation":false,"usgs":true,"family":"Toney","given":"Liam","email":"","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":956442,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ardid, Alberto 0000-0001-8040-8193","orcid":"https://orcid.org/0000-0001-8040-8193","contributorId":366967,"corporation":false,"usgs":false,"family":"Ardid","given":"Alberto","affiliations":[{"id":87515,"text":"University of Canterbury, Christchurch, New Zealand","active":true,"usgs":false}],"preferred":false,"id":956443,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70273931,"text":"70273931 - 2026 - Genomics reveals extensive population structure and undescribed phylogenetic relationships in the Cascade torrent salamander (Rhyacotriton cascadae)","interactions":[],"lastModifiedDate":"2026-02-18T15:39:30.672299","indexId":"70273931","displayToPublicDate":"2026-02-17T09:31:36","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2193,"text":"Journal of Biogeography","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genomics reveals extensive population structure and undescribed phylogenetic relationships in the Cascade torrent salamander (<i>Rhyacotriton cascadae</i>)","title":"Genomics reveals extensive population structure and undescribed phylogenetic relationships in the Cascade torrent salamander (Rhyacotriton cascadae)","docAbstract":"<h3 id=\"jbi70167-sec-0001-title\" class=\"article-section__sub-title section1\">Aim</h3><p>Aims of the study are to examine patterns of range-wide genetic differentiation and population structure in a headwater obligate salamander living in a geologically rich region, to identify genetically distinct populations and areas of gene flow between them.</p><h3 id=\"jbi70167-sec-0002-title\" class=\"article-section__sub-title section1\">Location</h3><p>Oregon and Washington in the Pacific Northwest, United States of America.</p><h3 id=\"jbi70167-sec-0003-title\" class=\"article-section__sub-title section1\">Time Period</h3><p>Tissue samples were collected in 2022 and 2023.</p><h3 id=\"jbi70167-sec-0004-title\" class=\"article-section__sub-title section1\">Major Taxa Studied</h3><p>The Cascade torrent salamander<span>&nbsp;</span><i>Rhyacotriton cascadae.</i></p><h3 id=\"jbi70167-sec-0005-title\" class=\"article-section__sub-title section1\">Methods</h3><p>Utilisation of a genome-wide single nucleotide polymorphism (SNP) dataset from across the species range to conduct a principal components analysis (PCA), Bayesian model of population structure, co-ancestry matrix, phylogenetic tree and estimate genetic diversity.</p><h3 id=\"jbi70167-sec-0006-title\" class=\"article-section__sub-title section1\">Results</h3><p>There are extensive levels of population structure within<span>&nbsp;</span><i>R. cascadae</i>, including a previously unknown and highly differentiated clade. Structure is characterised by an island-like pattern wherein the species is comprised of six populations that function as independent demographic units, with gene flow largely constrained within populations.</p><h3 id=\"jbi70167-sec-0007-title\" class=\"article-section__sub-title section1\">Main Conclusions</h3><p>Our findings reveal cryptic population structure within<span>&nbsp;</span><i>R. cascadae</i>, identifying six distinct populations across the range. The northernmost population in the northwest of the species range in Washington is surprisingly highly divergent from the other five populations, and the divergence was not previously known to science. While major rivers act as phylogeographic boundaries between some populations, these boundaries appear to not always be complete.</p>","language":"English","publisher":"Wiley","doi":"10.1111/jbi.70167","collaboration":"Co-authors: Oregon State University, USFS","usgsCitation":"Cousins, C.D., Olson, D.H., Millward, L.S., Adams, M.J., Pearl, C., Rowe, J., and Garcia, T.S., 2026, Genomics reveals extensive population structure and undescribed phylogenetic relationships in the Cascade torrent salamander (Rhyacotriton cascadae): Journal of Biogeography, v. 53, no. 2, e70167, 15 p., https://doi.org/10.1111/jbi.70167.","productDescription":"e70167, 15 p.","ipdsId":"IP-182783","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":506128,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jbi.70167","text":"Publisher Index Page"},{"id":500142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123,\n              47.03638131106257\n            ],\n            [\n              -123,\n              43.52402382935975\n            ],\n            [\n              -121.5,\n              43.52402382935975\n            ],\n            [\n              -121.5,\n              47.03638131106257\n            ],\n            [\n              -123,\n              47.03638131106257\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"53","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Cousins, Christopher D","contributorId":366385,"corporation":false,"usgs":false,"family":"Cousins","given":"Christopher","middleInitial":"D","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":955799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olson, Deanna H","contributorId":366386,"corporation":false,"usgs":false,"family":"Olson","given":"Deanna","middleInitial":"H","affiliations":[{"id":7134,"text":"USFS","active":true,"usgs":false}],"preferred":false,"id":955800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Millward, Lindsay S","contributorId":366387,"corporation":false,"usgs":false,"family":"Millward","given":"Lindsay","middleInitial":"S","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":955801,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Michael J. 0000-0001-8844-042X","orcid":"https://orcid.org/0000-0001-8844-042X","contributorId":211916,"corporation":false,"usgs":true,"family":"Adams","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":955802,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearl, Christopher 0000-0003-2943-7321 christopher_pearl@usgs.gov","orcid":"https://orcid.org/0000-0003-2943-7321","contributorId":172669,"corporation":false,"usgs":true,"family":"Pearl","given":"Christopher","email":"christopher_pearl@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":955803,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rowe, Jennifer 0000-0002-5253-2223 jrowe@usgs.gov","orcid":"https://orcid.org/0000-0002-5253-2223","contributorId":172670,"corporation":false,"usgs":true,"family":"Rowe","given":"Jennifer","email":"jrowe@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":955804,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Garcia, Tiffany S","contributorId":366394,"corporation":false,"usgs":false,"family":"Garcia","given":"Tiffany","middleInitial":"S","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":955805,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70273939,"text":"70273939 - 2026 - Characterizing operational signatures of reservoirs with the SWOT satellite by comparing natural lake and reservoir dynamics","interactions":[],"lastModifiedDate":"2026-02-18T15:12:53.887851","indexId":"70273939","displayToPublicDate":"2026-02-17T07:57:49","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing operational signatures of reservoirs with the SWOT satellite by comparing natural lake and reservoir dynamics","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Due to a lack of management operations data, hydrological models may represent reservoirs as natural lakes, leading to poor discharge predictions in regulated basins. To parse seasonal operational signatures, we compare the dynamics of natural lake and reservoir systems across North America using Surface Water and Ocean Topography (SWOT) satellite observations and derived discharge estimates. Overall, reservoirs and their adjacent river reaches exhibit significantly greater variability (in standard deviation) than their natural counterparts across almost all SWOT observed (e.g. water surface elevation) and inferred (e.g. discharge) variables. Natural lakes show strong same-day correlations between inflow and outflow discharge (median Spearman&nbsp;</span><i>R</i><span>&nbsp;= 0.8), whereas 76% of reservoirs exhibit maximum correlation when outflow is lagged, suggesting operations buffer seasonal flow variability. Our findings indicate operations not only affect reservoir dynamics themselves but also have upstream and downstream consequences, which, when integrated into models, will offer more realistic hydrologic conditions.</span></span></p>","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/ae436e","usgsCitation":"Riggs, R.M., Dickinson, J.E., Brinkerhoff, C.B., Sikder, M.S., Wang, J., Gao, H., and Allen, G.H., 2026, Characterizing operational signatures of reservoirs with the SWOT satellite by comparing natural lake and reservoir dynamics: Environmental Research Letters, v. 21, 044008, 11 p., https://doi.org/10.1088/1748-9326/ae436e.","productDescription":"044008, 11 p.","ipdsId":"IP-177052","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":500251,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ae436e","text":"Publisher Index Page"},{"id":500137,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -165.20917200792005,\n              72.32481180155446\n            ],\n            [\n              -116.99838105786625,\n              14.863773568551608\n            ],\n            [\n              -87.70978967120412,\n              18.449041713609518\n            ],\n            [\n              1.251170353917047,\n              74.7933097957411\n            ],\n            [\n              -165.20917200792005,\n              72.32481180155446\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"21","noUsgsAuthors":false,"publicationDate":"2026-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Riggs, Ryan Matthew 0000-0001-6834-9469","orcid":"https://orcid.org/0000-0001-6834-9469","contributorId":359717,"corporation":false,"usgs":true,"family":"Riggs","given":"Ryan","middleInitial":"Matthew","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":955826,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dickinson, Jesse E. 0000-0002-0048-0839 jdickins@usgs.gov","orcid":"https://orcid.org/0000-0002-0048-0839","contributorId":152545,"corporation":false,"usgs":true,"family":"Dickinson","given":"Jesse","email":"jdickins@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955827,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brinkerhoff, Craig B. 0000-0001-6701-4835","orcid":"https://orcid.org/0000-0001-6701-4835","contributorId":345546,"corporation":false,"usgs":false,"family":"Brinkerhoff","given":"Craig","middleInitial":"B.","affiliations":[{"id":37550,"text":"Yale University","active":true,"usgs":false}],"preferred":false,"id":955828,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sikder, Md. Safat 0000-0002-1910-1800","orcid":"https://orcid.org/0000-0002-1910-1800","contributorId":359718,"corporation":false,"usgs":false,"family":"Sikder","given":"Md.","middleInitial":"Safat","affiliations":[{"id":85904,"text":"Department of Geography and Geographic Information Science, University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":955829,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Jida","contributorId":333531,"corporation":false,"usgs":false,"family":"Wang","given":"Jida","email":"","affiliations":[{"id":79917,"text":"Department of Geography and Geospatial Sciences, Kansas State University, Manhattan, KS, USA.","active":true,"usgs":false}],"preferred":false,"id":955830,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gao, Huilin 0000-0001-7009-8005","orcid":"https://orcid.org/0000-0001-7009-8005","contributorId":359721,"corporation":false,"usgs":false,"family":"Gao","given":"Huilin","affiliations":[{"id":51860,"text":"Department of Civil Engineering, Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":955831,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allen, George H. 0000-0001-8301-5301","orcid":"https://orcid.org/0000-0001-8301-5301","contributorId":225161,"corporation":false,"usgs":false,"family":"Allen","given":"George","middleInitial":"H.","affiliations":[{"id":41057,"text":"Department of Geography, Texas A&M University, College Station, TX, 77843","active":true,"usgs":false}],"preferred":false,"id":955832,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70274640,"text":"70274640 - 2026 - Environment, taxonomy, and socioeconomics predict non-imperilment in freshwater fishes","interactions":[],"lastModifiedDate":"2026-04-02T18:30:01.828215","indexId":"70274640","displayToPublicDate":"2026-02-16T11:24:32","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Environment, taxonomy, and socioeconomics predict non-imperilment in freshwater fishes","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Freshwater fishes are among the most threatened taxa, yet conservation assessments remain incomplete for many species. Freshwater fishes provide essential ecosystem services such as food security, recreational opportunities, and cultural significance. Despite heavy alterations to freshwater ecosystems, the reasons for species’ sensitivity and resistance to imperilment are unclear. To address this need, we develop a machine learning framework to predict global imperilment status for 10,631 freshwater fish species using a comprehensive set of environmental, socioeconomic, and intrinsic species-level predictors. Using updated IUCN Red List data, we train and validate Random Forest classifiers to distinguish imperiled (Vulnerable, Endangered, Critically Endangered) from non-imperiled species. We examine the relative influence of 52 variables derived from 12 global sources describing extrinsic environmental and socioeconomic factors and intrinsic species-specific characteristics. Our models achieve higher accuracy for non-imperiled species (90.1%) compared to imperiled species (81.8%), reflecting the greater heterogeneity of threats and conditions driving imperilment. Across models, key predictors include habitat variables, taxonomic order, hydrological characteristics, and disturbance indicators, underscoring the interplay between ecology, geography, and human pressures. This integrative, reproducible approach demonstrates the utility of machine learning for guiding proactive conservation and provides a scalable framework for global biodiversity risk assessment.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41467-025-68154-w","usgsCitation":"Murphy, C.A., Olivos, J.A., Arismendi, I., García-Berthou, E., Johnson, S.L., and Dunham, J., 2026, Environment, taxonomy, and socioeconomics predict non-imperilment in freshwater fishes: Nature Communications, v. 17, 1661, 11 p., https://doi.org/10.1038/s41467-025-68154-w.","productDescription":"1661, 11 p.","ipdsId":"IP-170109","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502097,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-025-68154-w","text":"Publisher Index Page"},{"id":502030,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","noUsgsAuthors":false,"publicationDate":"2026-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":958522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olivos, J. Andres","contributorId":369132,"corporation":false,"usgs":false,"family":"Olivos","given":"J.","middleInitial":"Andres","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arismendi, Ivan","contributorId":341108,"corporation":false,"usgs":false,"family":"Arismendi","given":"Ivan","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":958524,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"García-Berthou, Emili","contributorId":6293,"corporation":false,"usgs":false,"family":"García-Berthou","given":"Emili","affiliations":[],"preferred":false,"id":958525,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Sherri L.","contributorId":369137,"corporation":false,"usgs":false,"family":"Johnson","given":"Sherri","middleInitial":"L.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":958526,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":958527,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
]}