{"pageNumber":"62","pageRowStart":"1525","pageSize":"25","recordCount":184606,"records":[{"id":70274046,"text":"70274046 - 2025 - Genetic variation and metapopulation structure inform recovery goals in a threatened species","interactions":[],"lastModifiedDate":"2026-02-23T17:06:47.020325","indexId":"70274046","displayToPublicDate":"2025-06-07T10:01:36","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19845,"text":"Genes","active":true,"publicationSubtype":{"id":10}},"title":"Genetic variation and metapopulation structure inform recovery goals in a threatened species","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Background: Monitoring genetic parameters is important for setting effective conservation and management strategies, particularly for small, fragmented, and isolated populations. Small, isolated populations face increased rates of genetic drift and inbreeding, which increase extinction risk especially when gene flow is limited. Methods: Here, we applied a Genotyping-in-Thousands by sequencing (GT-seq) panel to inform recovery action for the federally threatened northern Idaho ground squirrel (</span><span class=\"html-italic\">Urocitellus brunneus</span><span>). We evaluated genetic diversity, structure, connectivity, and effective population size to address species recovery goals. Results: We delineated three types of conservation units: (1) three evolutionarily significant units that represent long-term population structure and variation, (2) nine management units that reflect current demographic connectivity and restrictions to gene flow, and (3) three adaptive units that capture adaptive differentiation across the species range. Effective population sizes per management unit were small overall (mean 38.16, range 2.3–220.9), indicating that recovery goals of 10 subpopulations with&nbsp;</span><span class=\"html-italic\">N</span><sub>e</sub><span>&nbsp;&gt; 500 have not been reached. Conclusions: Our results support the maintenance of connectivity within evolutionarily significant units through the restoration of dispersal corridors. Next steps could include further sampling of some subpopulations with low sample sizes, unsampled subpopulations, and subpopulations that are geographically isolated. Genotyping future samples with the same GT-seq panel would help to detect dispersal, assess effective population size, monitor the effects of inbreeding, and evaluate adaptive differentiation to monitor the effects of management action and environmental change.</span></span></p>","language":"English","publisher":"MDPI","doi":"10.3390/genes16060694","usgsCitation":"Garrett, M.J., Conway, C.J., Waits, L.P., Hohenlohe, P.A., 2025, Genetic variation and metapopulation structure inform recovery goals in a threatened species: Genes, v. 16, no. 6, 694, 19 p., https://doi.org/10.3390/genes16060694.","productDescription":"694, 19 p.","ipdsId":"IP-169931","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500590,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/genes16060694","text":"Publisher Index Page"},{"id":500425,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","county":"Adams County, Valley County","otherGeospatial":"central Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.75400908328447,\n              45.11582369105611\n            ],\n            [\n              -117.04818943054073,\n              44.6392090511051\n            ],\n            [\n              -116.00623172767331,\n              44.16247922591529\n            ],\n            [\n              -115.54567062867841,\n              44.68080329283654\n            ],\n            [\n              -116.75400908328447,\n              45.11582369105611\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Garrett, Molly J.","contributorId":366831,"corporation":false,"usgs":false,"family":"Garrett","given":"Molly","middleInitial":"J.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956287,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956288,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waits, Lisette P.","contributorId":366832,"corporation":false,"usgs":false,"family":"Waits","given":"Lisette","middleInitial":"P.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956289,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hohenlohe, Paul A.","contributorId":366833,"corporation":false,"usgs":false,"family":"Hohenlohe","given":"Paul","middleInitial":"A.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956290,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70268082,"text":"70268082 - 2025 - Outwash events inhibit vegetation recovery and prolong coastal vulnerability","interactions":[],"lastModifiedDate":"2025-06-12T14:47:53.144697","indexId":"70268082","displayToPublicDate":"2025-06-07T09:44:25","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Outwash events inhibit vegetation recovery and prolong coastal vulnerability","docAbstract":"<p><span>Overwash, when high ocean water levels and waves flood a coastline, is a common phenomenon that can lead to washover deposits and barrier rollover. Outwash, by contrast, involves seaward flow, often driven by high back-barrier water levels, and can produce washout channels and nearshore deposition. Our observations show that washout channels were quickly (days to weeks) filled and reshaped into beaches, berms, and washover deposits and ponds often formed at the landward ends. However, there was a significant delay in revegetation of former washout areas compared with washover areas. North Core Banks, North Carolina, was affected by repeat hurricanes in different ways: Hurricane Florence (2018) deposited large washover fans 0.5–1&nbsp;m thick, and Hurricane Dorian (2019) removed 1–4&nbsp;m of sediment from washout channels. Aerial surveys captured vegetation recolonization on the Florence washover fans within a year but, after Dorian, surveys showed that although the washout channels and ponds quickly filled with marine sand, the channel throats and new washover platforms remained mostly unvegetated for five&nbsp;years. New vegetation growth was associated with the washout ponds and was characteristic of low-elevation hydrophilic environments. We observed comparable outcomes at washout and washover locations on the coasts of Texas and New York and suggest that outwash interrupts the normal cycle of vegetation and dune growth that is key to rebuilding barrier islands after storms. The lack of vegetation in the former washout channels prolongs vulnerability to overwash, further delaying recovery. Our findings have implications for best-management practices and modeling of coastal geomorphic evolution.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JF008162","usgsCitation":"Over, J.R., and Sherwood, C.R., 2025, Outwash events inhibit vegetation recovery and prolong coastal vulnerability: JGR Earth Surface, v. 130, no. 6, e2024JF008162, 14 p., https://doi.org/10.1029/2024JF008162.","productDescription":"e2024JF008162, 14 p.","ipdsId":"IP-170789","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":490932,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1PGG57F","text":"USGS data release","linkHelpText":"Supplemental data for Over and Sherwood (2025), Washover and washout locations and landcover classifications after hurricanes Florence, Dorian, Harvey, Ike, and Sandy in North Carolina, Texas, and New York"},{"id":490510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"130","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Over, Jin-Si R. 0000-0001-6753-7185 jover@usgs.gov","orcid":"https://orcid.org/0000-0001-6753-7185","contributorId":260178,"corporation":false,"usgs":true,"family":"Over","given":"Jin-Si","email":"jover@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940169,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70268303,"text":"70268303 - 2025 - Waterline responses to climate forcing along the North American West Coast","interactions":[],"lastModifiedDate":"2025-06-20T14:41:50.092888","indexId":"70268303","displayToPublicDate":"2025-06-07T09:41:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Waterline responses to climate forcing along the North American West Coast","docAbstract":"<p><span>Understanding waterline variability at seasonal to interannual timescales is crucial for predicting coastal responses to climate forcing. However, relationships between large-scale climate variability and coastal morphodynamics remain underexplored beyond intensively monitored sites. This study leverages a newly developed 25-year (1997–2022) satellite-derived waterline dataset along the North American West Coast. Our results reveal distinct latitudinal patterns in seasonal waterline change, with excursions exceeding 25 m in the Pacific Northwest, decreasing to less than 10 m in Southern California and farther south. Waterline fluctuations strongly follow wave power in the Pacific Northwest (</span><i>R</i><span> = −0.78), northern California (</span><i>R</i><span> = −0.75), and Baja California (</span><i>R</i><span> = −0.62), while Baja California Sur aligns more with sea-level variations (</span><i>R</i><span> = −0.42). Interannually, waterline change exhibits latitudinal dependence: south of southern California, variability is low, with major erosion confined to strong El Niño-Southern Oscillation (ENSO) events, while northern regions show mixed responses. ENSO-driven storm track shifts modulate winter wave climate, resulting in enhanced (attenuated) erosion from southern California to Baja California Sur during El Niño (La Niña). However, further north, ENSO impacts are less consistent, reflecting a complex interplay of storm track displacement and intensification. These findings highlight the spatial complexity of ENSO-driven morphodynamics and provide a framework for assessing climate-induced coastal vulnerability.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02414-x","usgsCitation":"Graffin, M., Almar, R., Bergsma, E., Boucharel, J., Vitousek, S., Taherkhani, M., and Ruggiero, P., 2025, Waterline responses to climate forcing along the North American West Coast: Communications Earth & Environment, v. 6, no. 1, 444, 15 p., https://doi.org/10.1038/s43247-025-02414-x.","productDescription":"444, 15 p.","ipdsId":"IP-176082","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491492,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02414-x","text":"Publisher Index Page"},{"id":491023,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","otherGeospatial":"North American West Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.2593217632257,\n              21.579599951497116\n            ],\n            [\n              -107.78246959015371,\n              24.439607185630067\n            ],\n            [\n              -113.38712854090997,\n              31.78944985739807\n            ],\n            [\n              -117.82933273647194,\n              34.52100659732692\n            ],\n            [\n              -122.3885260560478,\n              38.99674000208634\n            ],\n            [\n              -122.69292289258158,\n              48.4491737214054\n            ],\n            [\n              -125.47504604528146,\n              48.56644212375616\n            ],\n            [\n              -125.8512434363422,\n              41.747408051533455\n            ],\n            [\n              -125.27944419064954,\n              37.302919506512524\n            ],\n            [\n              -120.86710575526862,\n              33.41903458083323\n            ],\n            [\n              -114.71330020847188,\n              25.80963272357718\n            ],\n            [\n              -110.2593217632257,\n              21.579599951497116\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Graffin, Marcan","contributorId":357126,"corporation":false,"usgs":false,"family":"Graffin","given":"Marcan","affiliations":[{"id":47711,"text":"University of Toulouse","active":true,"usgs":false}],"preferred":false,"id":940751,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Almar, Rafael","contributorId":357129,"corporation":false,"usgs":false,"family":"Almar","given":"Rafael","affiliations":[{"id":47711,"text":"University of Toulouse","active":true,"usgs":false}],"preferred":false,"id":940752,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bergsma, Erwin W.J.","contributorId":357132,"corporation":false,"usgs":false,"family":"Bergsma","given":"Erwin W.J.","affiliations":[{"id":49049,"text":"CNES","active":true,"usgs":false}],"preferred":false,"id":940753,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boucharel, Julien","contributorId":357135,"corporation":false,"usgs":false,"family":"Boucharel","given":"Julien","affiliations":[{"id":47711,"text":"University of Toulouse","active":true,"usgs":false}],"preferred":false,"id":940754,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vitousek, Sean 0000-0002-3369-4673 svitousek@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-4673","contributorId":149065,"corporation":false,"usgs":true,"family":"Vitousek","given":"Sean","email":"svitousek@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940755,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Taherkhani, Mohsen","contributorId":357138,"corporation":false,"usgs":false,"family":"Taherkhani","given":"Mohsen","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":940756,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ruggiero, Peter","contributorId":357141,"corporation":false,"usgs":false,"family":"Ruggiero","given":"Peter","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":940757,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70267973,"text":"70267973 - 2025 - Rainfall thresholds for postfire debris-flow initiation vary with short-duration rainfall climatology","interactions":[],"lastModifiedDate":"2025-06-10T14:27:36.321627","indexId":"70267973","displayToPublicDate":"2025-06-07T09:26:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7357,"text":"JGR Earth Surface","active":true,"publicationSubtype":{"id":10}},"title":"Rainfall thresholds for postfire debris-flow initiation vary with short-duration rainfall climatology","docAbstract":"<p><span>The size, frequency, and geographic scope of severe wildfires are expanding across the globe, including in the Western United States. Recently burned steeplands have an increased likelihood of debris flows, which pose hazards to downstream communities. The conditions for postfire debris-flow initiation are commonly expressed as rainfall intensity-duration thresholds, which can be estimated given sufficient observational history. However, the spread of wildfire across diverse climates poses a challenge for accurate threshold prediction in areas with limited observations. Studies of mass-movement processes in unburned areas indicate that thresholds vary with local climate, such that higher rainfall rates are required for initiation in climates characterized by frequent intense rainfall. Here, we use three independent methods to test whether initiation of postfire runoff-generated debris flows across the Western United States varies similarly with climate. Through the compilation of observed thresholds at various fires, analysis of the spatial density of observed debris flows, and quantification of feature importance at different spatial scales, we show that postfire debris-flow initiation thresholds vary systematically with short-duration rainfall-intensity climatology. The predictive power of climatological data sets that are readily available before a fire occurs offers a much-needed tool for hazard management in regions that are facing increased wildfire activity, have sparse observational history, and/or have limited resources for field-based hazard assessment. Furthermore, if the observed variation in thresholds reflects long-term adjustment of the landscape to local climate, rapid shifts in rainfall intensity related to climate change will likely induce spatially variable shifts in postfire debris-flow likelihood.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JF007781","usgsCitation":"Cavagnaro, D.B., McCoy, S., Lindsay, D.N., McGuire, L.A., Kean, J.W., and Trugman, D.T., 2025, Rainfall thresholds for postfire debris-flow initiation vary with short-duration rainfall climatology: JGR Earth Surface, v. 130, no. 6, e2024JF007781, 20 p., https://doi.org/10.1029/2024JF007781.","productDescription":"e2024JF007781, 20 p.","ipdsId":"IP-164533","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":490626,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70268149,"text":"70268149 - 2025 - The δ13C signature of dissolved organic and inorganic carbon reveals complex carbon transformations within a salt marsh","interactions":[],"lastModifiedDate":"2025-06-16T13:50:57.35113","indexId":"70268149","displayToPublicDate":"2025-06-07T08:44:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9326,"text":"JGR Biogeosciences","active":true,"publicationSubtype":{"id":10}},"displayTitle":"The δ<sup>13</sup>C signature of dissolved organic and inorganic carbon reveals complex carbon transformations within a salt marsh","title":"The δ13C signature of dissolved organic and inorganic carbon reveals complex carbon transformations within a salt marsh","docAbstract":"<p><span>Coastal wetlands have high rates of atmospheric CO</span><sub>2</sub><span>&nbsp;uptake, which is subsequently respired back to the atmosphere, stored as organic matter within flooded, anoxic soils, or exported to the coastal ocean. Transformation of fixed carbon occurs through a variety of subsurface aerobic and anaerobic microbial processes, and results in a large inventory of dissolved carbon. Carbon source and the roles of aerobic respiration, sulfate reduction, and methane cycling were evaluated within salt marsh peat and the underlying sandy subterranean estuary. There is a large increase in dissolved inorganic carbon (DIC, 7,350&nbsp;±&nbsp;3,900&nbsp;μmol&nbsp;L</span><sup>−1</sup><span>), dissolved organic carbon (DOC, 1,040&nbsp;±&nbsp;1,480&nbsp;μmol&nbsp;L</span><sup>−1</sup><span>) and CH</span><sub>4</sub><span>&nbsp;(14.5&nbsp;±&nbsp;33.3&nbsp;μmol&nbsp;L</span><sup>−1</sup><span>) within the marsh porewaters compared to creek waters. Alkalinity production (5,730&nbsp;±&nbsp;2,170&nbsp;μeq&nbsp;L</span><sup>−1</sup><span>) and sulfate removal (1,810&nbsp;±&nbsp;1,970&nbsp;μmol&nbsp;L</span><sup>−1</sup><span>) indicate anaerobic respiration, however, relative contributions from the various decomposition pathways cannot be identified due to overlapping geochemical signatures. The δ</span><sup>13</sup><span>C of the DOC (−29.0&nbsp;±&nbsp;3.7‰) and DIC (−11.2&nbsp;±&nbsp;1.1‰) produced within the marsh differed from the bulk soil organic matter δ</span><sup>13</sup><span>C (−14.5&nbsp;±&nbsp;0.2‰). We explore a variety of mechanisms that could result in co-occurring depleted δ</span><sup>13</sup><span>C-DOC and enriched δ</span><sup>13</sup><span>C-DIC compared to the bulk soil organic carbon pool and salt marsh vegetation, including selective mineralization, production of δ</span><sup>13</sup><span>C-depleted bacterial biomass, and methane-derived DOC. While important questions remain about carbon cycling pathways, we found evidence of a cryptic methane cycle. Alteration of the δ</span><sup>13</sup><span>C of carbon species complicates source attribution in solid and dissolved phases and careful consideration should be used when carbon is partitioned between in situ salt marsh production and external marine and terrestrial sources.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JG008898","usgsCitation":"Eagle, M.J., Kroeger, K.D., Pohlman, J., Tamborski, J., Wang, Z., Brooks, T.W., O’Keefe Suttles, J.A., and Mann, A.G., 2025, The δ13C signature of dissolved organic and inorganic carbon reveals complex carbon transformations within a salt marsh: JGR Biogeosciences, v. 130, no. 6, e2025JG008898, 17 p., https://doi.org/10.1029/2025JG008898.","productDescription":"e2025JG008898, 17 p.","ipdsId":"IP-174273","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":491005,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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        ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"130","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Eagle, Meagan J. 0000-0001-5072-2755 meagle@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":242890,"corporation":false,"usgs":true,"family":"Eagle","given":"Meagan","email":"meagle@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":940362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":940363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pohlman, John 0000-0002-3563-4586","orcid":"https://orcid.org/0000-0002-3563-4586","contributorId":220804,"corporation":false,"usgs":true,"family":"Pohlman","given":"John","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":940364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tamborski, J.J.","contributorId":350271,"corporation":false,"usgs":false,"family":"Tamborski","given":"J.J.","affiliations":[{"id":36518,"text":"Old Dominion University","active":true,"usgs":false}],"preferred":false,"id":940365,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Z.A.","contributorId":350270,"corporation":false,"usgs":false,"family":"Wang","given":"Z.A.","affiliations":[{"id":83704,"text":"Woods Hole Oceanography 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,{"id":70267962,"text":"70267962 - 2025 - Understanding the evolution of scoria cone morphology using multivariate models","interactions":[],"lastModifiedDate":"2025-06-09T15:14:31.734183","indexId":"70267962","displayToPublicDate":"2025-06-06T10:11:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8956,"text":"Communications Earth & Environment","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the evolution of scoria cone morphology using multivariate models","docAbstract":"<p><span>Scoria cones are the most abundant type of volcano in the Solar System. They occur in every tectonic setting and often overlap with human populations, yet our ability to provide complete geochronology within volcanic fields remains limited. Appropriate geochronology underpins the reconstruction of size-frequency distribution and is a key input for robust volcanic hazard assessment. Morphometric data have long been used to estimate relative ages of scoria cones; however, they have only shown promise at single volcanic fields and simple cones with homogenous pyroclastics. Here, we present a new global inventory of dated scoria cones (</span><i>n</i><span> = 572) from 71 volcanic fields formed under diverse magmatic, tectonic and climatic regimes, and build data-driven age models for dating scoria cones using easily accessible morphometric, reflectance and climatic variables. Our models suggest chemical composition of ascending magma may influence the initial scoria cone morphology which is then gradually modified by erosion over time.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s43247-025-02425-8","usgsCitation":"Kereszturi, G., Grosse, P., Whitehead, M., Guilbaud, M., Downs, D.T., Noguchi, R., and Kervyn, M., 2025, Understanding the evolution of scoria cone morphology using multivariate models: Communications Earth & Environment, v. 6, 439, 11 p., https://doi.org/10.1038/s43247-025-02425-8.","productDescription":"439, 11 p.","ipdsId":"IP-171151","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":490624,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s43247-025-02425-8","text":"Publisher Index Page"},{"id":490265,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Kereszturi, Gabor 0000-0003-4336-2012","orcid":"https://orcid.org/0000-0003-4336-2012","contributorId":247601,"corporation":false,"usgs":false,"family":"Kereszturi","given":"Gabor","email":"","affiliations":[{"id":49587,"text":"Volcanic Risk Solutions, Massey University, Palmerston North, 4474, New Zealand","active":true,"usgs":false}],"preferred":false,"id":939787,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grosse, Pablo","contributorId":356702,"corporation":false,"usgs":false,"family":"Grosse","given":"Pablo","affiliations":[{"id":85189,"text":"Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Fundación Miguel Lillo","active":true,"usgs":false}],"preferred":false,"id":939788,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitehead, Melody","contributorId":356703,"corporation":false,"usgs":false,"family":"Whitehead","given":"Melody","affiliations":[{"id":13571,"text":"Massey University","active":true,"usgs":false}],"preferred":false,"id":939789,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guilbaud, Marie-Noëlle","contributorId":356704,"corporation":false,"usgs":false,"family":"Guilbaud","given":"Marie-Noëlle","affiliations":[{"id":25354,"text":"Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":939790,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":939791,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Noguchi, Rina","contributorId":356705,"corporation":false,"usgs":false,"family":"Noguchi","given":"Rina","affiliations":[{"id":85190,"text":"Niigata University","active":true,"usgs":false}],"preferred":false,"id":939792,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kervyn, Matthieu","contributorId":213338,"corporation":false,"usgs":false,"family":"Kervyn","given":"Matthieu","email":"","affiliations":[],"preferred":false,"id":939793,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70267945,"text":"70267945 - 2025 - Resiliency of land change monitoring efforts to input data resampling","interactions":[],"lastModifiedDate":"2025-06-09T15:10:26.407318","indexId":"70267945","displayToPublicDate":"2025-06-06T10:04:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17157,"text":"Frontiers in Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Resiliency of land change monitoring efforts to input data resampling","docAbstract":"<p><span>The geometric transformation of remotely sensed imagery from one map projection to another necessitates a data resampling operation which alters the recorded values. The global Landsat archive is made available in the Universal Transverse Mercator (UTM) projection system which preserves geographic shape across small area but introduces small errors in distance and area. As remote sensing-based studies develop from local scales to regional and global, they need to adopt more appropriate map projections from which accurate area measurements can be made. While effects of resampling on recorded values have been studied in the past, the impacts on higher-level results such as land cover have not been widely reported. This study investigates an approach for monitoring land cover and land change using two input datasets derived from identical source Landsat data, where one input dataset is transformed to an equal-area map projection and thereby resampled. Recorded surface reflectance values are changed through the reprojection/resampling process, and our study highlights observed differences in derived land cover from these two different input datasets throughout the various stages of deriving land cover and related characteristics. Our findings suggest that large-scale analyses of land cover will not be substantially impacted by reprojection of input data, but small-scale analyses should exercise caution when interpreting timing and magnitude of pixel-level change and classification dynamics.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/frsen.2025.1570580","usgsCitation":"Healey, N.C., Barber, C., Smith, K., Mital, R., Brown, J.F., and Robison, C., 2025, Resiliency of land change monitoring efforts to input data resampling: Frontiers in Remote Sensing, v. 6, 1570580, 11 p., https://doi.org/10.3389/frsen.2025.1570580.","productDescription":"1570580, 11 p.","ipdsId":"IP-175401","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":490669,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frsen.2025.1570580","text":"Publisher Index Page"},{"id":490264,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia","city":"Atlanta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.333,\n              34.667\n            ],\n            [\n              -84.333,\n              33.333\n            ],\n            [\n              -83,\n              33.333\n            ],\n            [\n              -83,\n              34.667\n            ],\n            [\n              -84.333,\n              34.667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"6","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Healey, Nathan C. 0000-0002-8516-2636","orcid":"https://orcid.org/0000-0002-8516-2636","contributorId":280023,"corporation":false,"usgs":false,"family":"Healey","given":"Nathan","email":"","middleInitial":"C.","affiliations":[{"id":57411,"text":"KBR, Inc.","active":true,"usgs":false}],"preferred":false,"id":939736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Christopher P. 0000-0003-0570-1140","orcid":"https://orcid.org/0000-0003-0570-1140","contributorId":223102,"corporation":false,"usgs":true,"family":"Barber","given":"Christopher","middleInitial":"P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":939737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Kelcy 0000-0001-6811-1485","orcid":"https://orcid.org/0000-0001-6811-1485","contributorId":272037,"corporation":false,"usgs":false,"family":"Smith","given":"Kelcy","affiliations":[{"id":56338,"text":"KBR, Inc., Contractor under USGS","active":true,"usgs":false}],"preferred":false,"id":939738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mital, Rohan 0009-0001-3241-756X","orcid":"https://orcid.org/0009-0001-3241-756X","contributorId":356687,"corporation":false,"usgs":false,"family":"Mital","given":"Rohan","affiliations":[{"id":85186,"text":"KBR, Inc. contractor to the USGS EROS Center","active":true,"usgs":false}],"preferred":false,"id":939739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brown, Jesslyn F. 0000-0002-9976-1998 jfbrown@usgs.gov","orcid":"https://orcid.org/0000-0002-9976-1998","contributorId":176609,"corporation":false,"usgs":true,"family":"Brown","given":"Jesslyn","email":"jfbrown@usgs.gov","middleInitial":"F.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":939740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Robison, Charles 0000-0002-7623-2380","orcid":"https://orcid.org/0000-0002-7623-2380","contributorId":217916,"corporation":false,"usgs":false,"family":"Robison","given":"Charles","email":"","affiliations":[{"id":39714,"text":"SGT Inc. (USGS Contractor)","active":true,"usgs":false}],"preferred":false,"id":939741,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267957,"text":"70267957 - 2025 - Autumn as an overlooked opportunity for limnology","interactions":[],"lastModifiedDate":"2025-06-09T15:03:25.858843","indexId":"70267957","displayToPublicDate":"2025-06-06T09:56:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16703,"text":"PLOS Climate","active":true,"publicationSubtype":{"id":10}},"title":"Autumn as an overlooked opportunity for limnology","docAbstract":"<p>Ecological disciplines, from forestry to soil sciences and ornithology, recognize the critical role of autumn in an array of physical and biological processes. Terrestrial studies categorize autumn as the end of the growing season. Autumn weather conditions can disrupt plant-soil interactions, affecting nutrient cycling and soil fertility [1]; determine dormancy and freezing tolerance of trees during winter [2]; and create phenological mismatches that affect diet quality and predator-prey relationships [3]. In many lakes, autumn is marked by an important period of flux within the water column, affecting nutrient cycling, phytoplankton, and fish productivity [4]. Despite their importance, autumnal limnological processes remain understudied.</p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pclm.0000648","usgsCitation":"Ferrato, F., Sharma, S., Culpepper, J.A., Talbot, C., Meyer, M.F., and Hampton, S.E., 2025, Autumn as an overlooked opportunity for limnology: PLOS Climate, v. 4, no. 6, e0000648, 5 p., https://doi.org/10.1371/journal.pclm.0000648.","productDescription":"e0000648, 5 p.","ipdsId":"IP-177586","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":490622,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pclm.0000648","text":"Publisher Index Page"},{"id":490261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ferrato, Faith R","contributorId":356693,"corporation":false,"usgs":false,"family":"Ferrato","given":"Faith R","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":939775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharma, Sapna","contributorId":150332,"corporation":false,"usgs":false,"family":"Sharma","given":"Sapna","email":"","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":939776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Culpepper, Joshua A. 0000-0002-0468-0539","orcid":"https://orcid.org/0000-0002-0468-0539","contributorId":344026,"corporation":false,"usgs":false,"family":"Culpepper","given":"Joshua","middleInitial":"A.","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":939777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Talbot, Ceara J 0000-0002-6227-6868","orcid":"https://orcid.org/0000-0002-6227-6868","contributorId":356694,"corporation":false,"usgs":false,"family":"Talbot","given":"Ceara J","affiliations":[{"id":85187,"text":"Carnegie Science","active":true,"usgs":false}],"preferred":false,"id":939778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Michael Frederick 0000-0002-8034-9434 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8034-9434","contributorId":304191,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"Frederick","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":939779,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hampton, Stephanie E.","contributorId":178718,"corporation":false,"usgs":false,"family":"Hampton","given":"Stephanie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":939780,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70268119,"text":"70268119 - 2025 - An empirical Green’s function approach for isolating directivity effects in earthquake ground-motion amplitudes","interactions":[],"lastModifiedDate":"2025-09-22T15:21:31.317811","indexId":"70268119","displayToPublicDate":"2025-06-06T09:54:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"An empirical Green’s function approach for isolating directivity effects in earthquake ground-motion amplitudes","docAbstract":"<p><span>In this study, we apply an empirical Green’s function (eGf) method within a ground‐motion modeling framework to mitigate trade‐offs between source, path, and site effects. Many physical processes contribute to spatial variations in observed ground motions, including earthquake radiation pattern, directivity, variable path attenuation, and site effects. Current nonergodic ground‐motion models use spatially varying coefficients for path and site effects, but they do not address trade‐offs with complex earthquake source effects. To quantify the influence of directivity on ground‐motion amplitudes, we use records from multiple smaller earthquakes with epicenters near that of a larger event. We use these small magnitude events as eGfs and estimate repeatable path and site effects at individual stations, assuming that the average adjustments are not controlled by directivity. We adjust residuals from the larger earthquake using the eGf terms, isolating effects related to the rupture. This method clearly enhances the observed broadband directivity observed in the 2022&nbsp;</span><strong>M</strong><span>&nbsp;5.1 and 2007&nbsp;</span><strong>M</strong><span>&nbsp;5.4 Alum Rock earthquake ground motions, reinforcing the conclusion that their ruptures were unilateral. For the 2004&nbsp;</span><strong>M</strong><span>&nbsp;6.0 Parkfield earthquake, we find a bilateral rupture model better fits the data because variations in rupture velocity, slip rate, and slip distribution seem to have a stronger effect on the ground motions than rupture direction alone. Applying eGf adjustments reduces the standard deviation of the rupture models over the three earthquakes by 32% on average and by up to 57% for the 2022 Alum Rock earthquake, confirming we have effectively removed repeatable effects related to the wave propagation path and site response. We propose a novel measure of the frequency‐dependent directivity amplification strength as the reduction in ground‐motion residual variability gained by fitting a directivity model; for the three earthquakes considered, this parameter varies between 25% and 75%, indicating that directivity can strongly influence ground motions and should be considered in ground‐motion modeling.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240264","usgsCitation":"Parker, G.A., Baltay Sundstrom, A.S., and Hirakawa, E.T., 2025, An empirical Green’s function approach for isolating directivity effects in earthquake ground-motion amplitudes: Bulletin of the Seismological Society of America, v. 115, no. 5, p. 2336-2354, https://doi.org/10.1785/0120240264.","productDescription":"19 p.","startPage":"2336","endPage":"2354","ipdsId":"IP-171011","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":490708,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -123,\n              38.5\n            ],\n            [\n              -123,\n              36\n            ],\n            [\n              -120.5,\n              36\n            ],\n            [\n              -120.5,\n              38.5\n            ],\n            [\n              -123,\n              38.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":940272,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baltay Sundstrom, Annemarie S. 0000-0002-6514-852X abaltay@usgs.gov","orcid":"https://orcid.org/0000-0002-6514-852X","contributorId":4932,"corporation":false,"usgs":true,"family":"Baltay Sundstrom","given":"Annemarie","email":"abaltay@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":940273,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hirakawa, Evan Tyler 0000-0002-5720-0850","orcid":"https://orcid.org/0000-0002-5720-0850","contributorId":295776,"corporation":false,"usgs":true,"family":"Hirakawa","given":"Evan","email":"","middleInitial":"Tyler","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":940274,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70267970,"text":"70267970 - 2025 - The first instrumentally detected hydrothermal explosion in Yellowstone National Park","interactions":[],"lastModifiedDate":"2025-06-10T14:46:12.718494","indexId":"70267970","displayToPublicDate":"2025-06-06T09:36:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The first instrumentally detected hydrothermal explosion in Yellowstone National Park","docAbstract":"<p><span>Hydrothermal explosions are one of the geological hazards most likely to impact people in Yellowstone National Park, but their frequency is poorly known. Infrasound and seismic sensors identified an explosion in Norris Geyser Basin on 15 April 2024, at 14:56 MDT (20:56 UTC)—the first instrumentally detected hydrothermal explosion in the Yellowstone region. The event affected an area tens of meters across, resulting in fractured ground, a shallow explosion crater, and a field of ejecta. There were no immediate geophysical precursors, but in the preceding years elevated discharge of thermal water altered the color, temperature, and level of a nearby small lake. Expanded seismo-acoustic monitoring in Yellowstone National Park could be useful for detecting small hydrothermal explosions and constraining their frequency, magnitude, energy release, and locations—information that could be used to better assess and mitigate hazards for the millions of people that visit the park each year.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL115850","usgsCitation":"Poland, M., Iezzi, A.M., Farrell, J., and Vaughan, R.G., 2025, The first instrumentally detected hydrothermal explosion in Yellowstone National Park: Geophysical Research Letters, v. 52, no. 11, e2025GL115850, 10 p., https://doi.org/10.1029/2025GL115850.","productDescription":"e2025GL115850, 10 p.","ipdsId":"IP-176875","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":490672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl115850","text":"Publisher Index Page"},{"id":490310,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Norris Basin, Yellowstone National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -110.695,\n              44.73\n            ],\n            [\n              -110.715,\n              44.73\n            ],\n            [\n              -110.715,\n              44.725\n            ],\n            [\n              -110.695,\n              44.725\n            ],\n            [\n              -110.695,\n              44.73\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"52","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":939828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iezzi, Alexandra M. 0000-0002-6782-7681","orcid":"https://orcid.org/0000-0002-6782-7681","contributorId":304206,"corporation":false,"usgs":true,"family":"Iezzi","given":"Alexandra","email":"","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":939829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Farrell, Jamie","contributorId":175477,"corporation":false,"usgs":false,"family":"Farrell","given":"Jamie","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":939830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vaughan, R. Greg 0000-0002-0850-6669","orcid":"https://orcid.org/0000-0002-0850-6669","contributorId":69030,"corporation":false,"usgs":true,"family":"Vaughan","given":"R.","email":"","middleInitial":"Greg","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":939831,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70265826,"text":"70265826 - 2025 - A metadata checklist and data formatting guidelines to make eDNA FAIR (Findable, Accessible, Interoperable and Reusable)","interactions":[],"lastModifiedDate":"2025-06-16T14:31:10.9429","indexId":"70265826","displayToPublicDate":"2025-06-06T09:12:34","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"A metadata checklist and data formatting guidelines to make eDNA FAIR (Findable, Accessible, Interoperable and Reusable)","docAbstract":"<p><span>The success of environmental DNA (eDNA) approaches for species detection has revolutionized biodiversity monitoring and distribution mapping. Targeted eDNA amplification approaches, such as quantitative PCR, have improved our understanding of species distribution, and metabarcoding-based approaches have enabled biodiversity assessment at unprecedented scales and taxonomic resolution. eDNA datasets, however, are often scattered across repositories with inconsistent formats, varying access restrictions, and inadequate metadata; this limits their interoperation, reuse, and overall impact. Adopting FAIR (Findable, Accessible, Interoperable, and Reusable) data practices with eDNA data can transform the monitoring of biodiversity and individual species and support data-driven biodiversity management across broad scales. FAIR practices remain underdeveloped in the eDNA community, partly due to gaps in adapting existing vocabularies, such as Darwin Core (DwC) and Minimum Information about any (x) Sequence (MIxS), to eDNA-specific needs and workflows. To address these challenges, we propose a comprehensive FAIR eDNA (FAIRe) Metadata Checklist, which integrates existing data standards and introduces new terms tailored to eDNA workflows. Metadata are systematically linked to both raw data (e.g., metabarcoding sequences, Ct/Cq values of targeted qPCR assays) and derived biological observations (e.g., Amplicon Sequence Variant (ASV)/Operational Taxonomic Unit (OTU) tables, species presence/absence). Along with formatting guidelines, tools, templates, and example datasets, we introduce a standardized, ready-to-use approach for FAIR eDNA practices. Through broad collaboration, we seek to integrate these guidelines into established biodiversity and molecular data standards, promote journal data policies, and foster user-driven improvements and uptake of FAIR practices among eDNA data producers. In proposing this standardized approach and developing a long-term plan with key databases and data standard organizations, the goal is to enhance accessibility, maximize reuse, and elevate the scientific impact of these valuable biodiversity data resources.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/edn3.70100","usgsCitation":"Takahashi, M., Frøslev Guldberg, T., Pauperio, J., Thalinger, B., Klymus, K.E., Helbing, C., Villacorta-Rath, C., Silliman, K., Thompson, L., Jungbluth, S., Yee Yong, S., Formel, S., Jenkins, G., Laporte, M., Deagle, B., Rajbhandari, S., Jeppesen Stjernegaard, T., Bissett, A., Jerde, C.L., Hahn, E.E., Schriml, L., Hunter, C., Newman, P., Woollard, P., Harper, L., Dunn, N., West, K., Haderlé, R., Wilkinson, S., Acharya-Patel, N., Lopez, M., Cochrane, G., and Berry, O., 2025, A metadata checklist and data formatting guidelines to make eDNA FAIR (Findable, Accessible, Interoperable and Reusable): Environmental DNA, v. 7, no. 3, e70100, 20 p., https://doi.org/10.1002/edn3.70100.","productDescription":"e70100, 20 p.","ipdsId":"IP-173048","costCenters":[{"id":38128,"text":"Science Analytics and Synthesis","active":true,"usgs":true}],"links":[{"id":491007,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.70100","text":"Publisher Index Page"},{"id":490751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Takahashi, Miwa","contributorId":350365,"corporation":false,"usgs":false,"family":"Takahashi","given":"Miwa","affiliations":[{"id":83724,"text":"Indian Oceans Marine Research Centre, Australia","active":true,"usgs":false}],"preferred":false,"id":933640,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frøslev Guldberg, Tobias 0000-0002-3530-013X","orcid":"https://orcid.org/0000-0002-3530-013X","contributorId":353475,"corporation":false,"usgs":false,"family":"Frøslev Guldberg","given":"Tobias","affiliations":[{"id":84411,"text":"Global Biodiversity Information Facility, Copenhagen, Denmark","active":true,"usgs":false}],"preferred":false,"id":933643,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pauperio, Joana 0000-0003-2569-0768","orcid":"https://orcid.org/0000-0003-2569-0768","contributorId":353476,"corporation":false,"usgs":false,"family":"Pauperio","given":"Joana","affiliations":[{"id":84413,"text":"European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Genome Campus, Hinxton, CB10 1SD, UK","active":true,"usgs":false}],"preferred":false,"id":933644,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thalinger, Bettina 0000-0001-9315-8648","orcid":"https://orcid.org/0000-0001-9315-8648","contributorId":353477,"corporation":false,"usgs":false,"family":"Thalinger","given":"Bettina","affiliations":[{"id":84414,"text":"Department of Zoology, University of Innsbruck, Austria","active":true,"usgs":false}],"preferred":false,"id":933645,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klymus, Katy E. 0000-0002-8843-6241 kklymus@usgs.gov","orcid":"https://orcid.org/0000-0002-8843-6241","contributorId":5043,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","email":"kklymus@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":933642,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Helbing, Caren C. 0000-0002-8861-1070","orcid":"https://orcid.org/0000-0002-8861-1070","contributorId":353489,"corporation":false,"usgs":false,"family":"Helbing","given":"Caren C.","affiliations":[{"id":84424,"text":"Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada","active":true,"usgs":false}],"preferred":false,"id":933661,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villacorta-Rath, Cecilia 0000-0002-1060-5447","orcid":"https://orcid.org/0000-0002-1060-5447","contributorId":353490,"corporation":false,"usgs":false,"family":"Villacorta-Rath","given":"Cecilia","affiliations":[{"id":84425,"text":"Centre for Tropical Water and AquaticEcosystem Research (TropWATER), JamesCook University, Townsville, Queensland,Australia","active":true,"usgs":false}],"preferred":false,"id":933662,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Silliman, Katherine 0000-0001-5964-3965","orcid":"https://orcid.org/0000-0001-5964-3965","contributorId":353487,"corporation":false,"usgs":false,"family":"Silliman","given":"Katherine","affiliations":[{"id":84423,"text":"National Oceanic and Atmospheric 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,{"id":70274132,"text":"70274132 - 2025 - Estimating abundance of desert bighorn sheep with double-observer sightability modeling with residual heterogeneity","interactions":[],"lastModifiedDate":"2026-02-27T15:12:54.920259","indexId":"70274132","displayToPublicDate":"2025-06-06T09:00:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Estimating abundance of desert bighorn sheep with double-observer sightability modeling with residual heterogeneity","docAbstract":"<p><span>Accurate abundance estimates are critical for informed management of wildlife populations. In New Mexico, USA, minimum counts from aerial surveys are the primary basis for management decisions regarding desert bighorn sheep (</span><i>Ovis canadensis mexicana</i><span>); therefore, there is a need to assess methods that account for imperfect detection. Common survey methods for large mammals (i.e., sightability, double-observer, and double-observer sightability models) are known to result in biased estimates, but the presence of radio-collared individuals within a population allows for estimation of residual heterogeneity. Consequently, we explored the use of hybrid double-observer sightability approaches that account for residual heterogeneity when estimating abundance of desert bighorn sheep in the Fra Cristobal Mountains of New Mexico. We collected double-observer sightability data for 167 desert bighorn groups across 3 surveys between December 2016 and November 2017 and compared abundance estimates under 5 modeling methods: a standard sightability model (M</span><sub>S</sub><span>), a standard double-observer sightability model (M</span><sub>DS</sub><span>), a hybrid double-observer sightability model incorporating a recapture-type heterogeneity parameter (M</span><sub>R</sub><span>), a hybrid double-observer sightability model incorporating a mark-type heterogeneity parameter (M</span><sub>H</sub><span>), and a Lincoln-Petersen estimator. Across all model types, group behavior (moving vs. stationary) and group size influenced detection the most, followed by vegetation class, terrain type, and proportion of obscuring vegetation cover. Standard sightability models produced higher and less precise abundance estimates than all double-observer sightability models. Of the double-observer sightability models, M</span><sub>R</sub><span>&nbsp;was better supported and estimated greater abundance than M</span><sub>H</sub><span>&nbsp;and accounted for more bias than M</span><sub>DS</sub><span>. Both M</span><sub>R</sub><span>&nbsp;and M</span><sub>H</sub><span>&nbsp;yielded greater precision than M</span><sub>S</sub><span>. The M</span><sub>R</sub><span>&nbsp;models produced an average detection probability of&nbsp;</span><i>p</i><span> = 0.72 (SE = 0.02) and abundance estimates of N⌃</span><span> = 302 (95% CI = 262−385), N⌃</span><span>= 290 (95% CI = 261−340), and N⌃</span><span>= 352 (95% CI = 264−548) for the December 2016, May 2017, and November 2017 surveys, respectively. Lincoln-Petersen estimates of abundance were greater than all double-observer sightability models and similarly precise, but their usefulness is reduced given the requirement to permanently maintain a subset of animals with radio-collars combined with the inability to incorporate information from factors influencing detection probability. Further, because residual heterogeneity models better estimate visibility bias, are flexible in their accommodation of radio-collar data, and can be adapted to unique survey occasions, they present a viable and robust option for estimating desert bighorn sheep abundance.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70050","usgsCitation":"Ruhl, C., Cain, J.W., Abadi, F., and Hennig, J.D., 2025, Estimating abundance of desert bighorn sheep with double-observer sightability modeling with residual heterogeneity: Journal of Wildlife Management, v. 89, no. 6, e70050, 18 p., https://doi.org/10.1002/jwmg.70050.","productDescription":"e70050, 18 p.","ipdsId":"IP-173007","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500787,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70050","text":"Publisher Index Page"},{"id":500645,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Fra Cristobal Mountains","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -107.21201322745647,\n              33.36445095764847\n            ],\n            [\n              -107.21201322745647,\n              33.151779198257444\n            ],\n            [\n              -107.07244373145068,\n              33.151779198257444\n            ],\n            [\n              -107.07244373145068,\n              33.36445095764847\n            ],\n            [\n              -107.21201322745647,\n              33.36445095764847\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Ruhl, Caitlin Q.","contributorId":353983,"corporation":false,"usgs":false,"family":"Ruhl","given":"Caitlin Q.","affiliations":[{"id":24672,"text":"New Mexico Department of Game and Fish","active":true,"usgs":false}],"preferred":false,"id":956626,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956627,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Abadi, Fitsum","contributorId":366806,"corporation":false,"usgs":false,"family":"Abadi","given":"Fitsum","affiliations":[],"preferred":false,"id":956628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hennig, Jacob D.","contributorId":177569,"corporation":false,"usgs":false,"family":"Hennig","given":"Jacob","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":956629,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70267976,"text":"70267976 - 2025 - Land cover change within wetland complexes at Dixie Meadows, Churchill County, Nevada: 2015 – 2023","interactions":[],"lastModifiedDate":"2025-06-10T13:55:36.597463","indexId":"70267976","displayToPublicDate":"2025-06-06T08:49:42","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5883,"text":"Cooperator Report","active":true,"publicationSubtype":{"id":1}},"title":"Land cover change within wetland complexes at Dixie Meadows, Churchill County, Nevada: 2015 – 2023","docAbstract":"Dixie Meadows, Nevada, is a system of geothermal springs and seeps that feed a complex of marshes and wetland meadows that are located within lands managed by the Bureau of Land Management (BLM) and the Department of Defense (DOD). A previous U.S. Geological Survey report documented variability in satellite imagery-based land cover classifications for seven wetland complexes at near monthly time intervals between October 2015 and January 2022. This report presents additional data, extending analysis to November 2023. Land cover classifications between October 2015 and November 2023 demonstrated an association between vegetation cover characteristics and surface moisture, with Class 1 having dry, bare soil or sparse upland vegetation, Class 2 having moist, bare soil or sparse to small vegetation, Class 3 having dense green vegetation with potentially saturated soil conditions, Class 4 having a mix of shallow surface water, saturated soil, and dense green vegetation, and Class 5 having open surface water. Most of the wetland complexes occur close to spring outflows primarily within land managed by the DOD, though portions are also within BLM lands. The intervening and surrounding landscape outside of the wetland complexes assessed in this study are managed by the BLM. As a result, Class 1 land covers had the largest areal coverage for BLM managed lands. Classes 2 and 3 land covers were primarily mapped inside the wetland complexes and thus had the largest area coverage within DOD managed lands. Class 4 was almost exclusively mapped within the wetland complexes and thus was largely contained within DOD managed lands. Class 5 (open water) was exclusively mapped in and adjacent to a single wetland complex with catchment ponds on land managed by the BLM. The distribution of these land cover classes over the study period was seasonally and annually variable. Land cover areas of Classes 1 and 2 were larger during the spring months. Conversely, land cover areas of Classes 3 and 4 tended to be greatest during the summer or fall. These patterns might be influenced by differences in seasonal water sources and phenology.","language":"English","publisher":"U.S. Fish & Wildlife Service","doi":"10.3996/3632813421","usgsCitation":"Caster, J., Sankey, J., and Bransky, N., 2025, Land cover change within wetland complexes at Dixie Meadows, Churchill County, Nevada: 2015 – 2023: Cooperator Report, iii, 26 p., https://doi.org/10.3996/3632813421.","productDescription":"iii, 26 p.","ipdsId":"IP-172972","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":490304,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","county":"Churchill County","otherGeospatial":"Dixie Meadows","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-117.5394,40.003],[-117.54,39.9994],[-117.5352,39.9944],[-117.5297,39.9894],[-117.5244,39.9858],[-117.5183,39.9777],[-117.5195,39.9745],[-117.5177,39.9704],[-117.5135,39.9709],[-117.5099,39.9704],[-117.5087,39.9663],[-117.5069,39.9613],[-117.5045,39.9582],[-117.5045,39.955],[-117.5015,39.9518],[-117.4973,39.9491],[-117.4925,39.9482],[-117.4877,39.9468],[-117.4847,39.9441],[-117.4824,39.9432],[-117.4781,39.9391],[-117.477,39.935],[-117.4757,39.9314],[-117.4709,39.9255],[-117.4686,39.921],[-117.4698,39.9174],[-117.4686,39.9133],[-117.4662,39.9115],[-117.468,39.9078],[-117.4674,39.9056],[-117.4656,39.9028],[-117.4626,39.9006],[-117.4632,39.8983],[-117.4644,39.8942],[-117.4638,39.8902],[-117.462,39.8883],[-117.4602,39.882],[-117.462,39.872],[-117.4608,39.8693],[-117.4656,39.8657],[-117.4662,39.8634],[-117.4644,39.8616],[-117.465,39.8571],[-117.4674,39.8557],[-117.4704,39.8534],[-117.4704,39.8507],[-117.468,39.8493],[-117.471,39.8444],[-117.4722,39.8407],[-117.4716,39.8376],[-117.4734,39.8371],[-117.4794,39.8349],[-117.4818,39.8339],[-117.4836,39.8289],[-117.4872,39.8262],[-117.486,39.8203],[-117.486,39.8117],[-117.4896,39.8031],[-117.4872,39.8008],[-117.486,39.7981],[-117.4878,39.79],[-117.4866,39.7863],[-117.4884,39.7823],[-117.4943,39.7755],[-117.4956,39.7705],[-117.4956,39.7668],[-117.4961,39.7619],[-117.495,39.7587],[-117.4938,39.7551],[-117.495,39.7492],[-117.4926,39.7469],[-117.4872,39.7464],[-117.4848,39.7428],[-117.4794,39.7428],[-117.4782,39.7424],[-117.4752,39.7365],[-117.4788,39.7292],[-117.4806,39.7238],[-117.4836,39.7215],[-117.4866,39.7161],[-117.4848,39.7124],[-117.4848,39.7079],[-117.486,39.7043],[-117.4788,39.6911],[-117.4723,39.6884],[-117.4645,39.6789],[-117.4681,39.6744],[-117.4711,39.6712],[-117.4723,39.6639],[-117.4746,39.6599],[-117.4788,39.6562],[-117.4782,39.6521],[-117.4824,39.649],[-117.4848,39.6472],[-117.4842,39.644],[-117.4741,39.6358],[-117.4681,39.6349],[-117.4645,39.6345],[-117.4621,39.6259],[-117.4705,39.6145],[-117.4806,39.6005],[-117.4777,39.5978],[-117.4789,39.5941],[-117.4771,39.5896],[-117.4759,39.5837],[-117.4765,39.5783],[-117.48,39.5728],[-117.4801,39.5674],[-117.4783,39.561],[-117.4783,39.5579],[-117.4818,39.5529],[-117.4848,39.5497],[-117.4842,39.5474],[-117.4866,39.5452],[-117.492,39.5424],[-117.4926,39.5384],[-117.4944,39.5348],[-117.4992,39.532],[-117.5093,39.5302],[-117.5164,39.537],[-117.5188,39.5375],[-117.5236,39.5334],[-117.5302,39.5311],[-117.5343,39.5284],[-117.5433,39.5261],[-117.5504,39.5261],[-117.5546,39.5261],[-117.5594,39.5261],[-117.5624,39.5238],[-117.5659,39.5198],[-117.5749,39.5184],[-117.5802,39.5202],[-117.5886,39.5198],[-117.5904,39.517],[-117.5886,39.5139],[-117.5892,39.5084],[-117.5868,39.5052],[-117.5921,39.4998],[-117.5987,39.4948],[-117.6011,39.4916],[-117.6023,39.4894],[-117.6094,39.4898],[-117.6142,39.488],[-117.6148,39.4826],[-117.6213,39.4762],[-117.6261,39.4753],[-117.6291,39.4757],[-117.6356,39.473],[-117.6475,39.4671],[-117.6517,39.4676],[-117.6547,39.4667],[-117.6576,39.4621],[-117.6576,39.459],[-117.6517,39.458],[-117.6457,39.4571],[-117.6404,39.4549],[-117.6362,39.4522],[-117.6386,39.449],[-117.6379,39.4399],[-117.6433,39.4345],[-117.6415,39.4304],[-117.6439,39.4263],[-117.6528,39.425],[-117.6611,39.4245],[-117.6713,39.4231],[-117.6754,39.4195],[-117.6748,39.4131],[-117.6814,39.4113],[-117.6825,39.4095],[-117.6802,39.4068],[-117.6802,39.4045],[-117.6825,39.4],[-117.6843,39.3973],[-117.6879,39.3932],[-117.6932,39.3877],[-117.6938,39.3868],[-117.6968,39.3846],[-117.7027,39.3836],[-117.7098,39.3814],[-117.7134,39.3818],[-117.717,39.3823],[-117.7212,39.3813],[-117.7307,39.3782],[-117.7337,39.3791],[-117.739,39.3831],[-117.7432,39.384],[-117.7485,39.3813],[-117.7539,39.3772],[-117.7556,39.3704],[-117.7586,39.3677],[-117.7574,39.365],[-117.7592,39.3604],[-117.7615,39.3563],[-117.7585,39.3486],[-117.7561,39.3432],[-117.7585,39.3391],[-117.7579,39.3359],[-117.7549,39.3296],[-117.7501,39.3174],[-117.7513,39.3128],[-117.7501,39.3101],[-117.7459,39.306],[-117.7447,39.3029],[-117.7405,39.2984],[-117.7405,39.2938],[-117.7423,39.2902],[-117.7405,39.2861],[-117.7351,39.2843],[-117.7327,39.2811],[-117.7309,39.2771],[-117.7303,39.2671],[-117.7249,39.2594],[-117.7219,39.249],[-117.7142,39.2499],[-117.7136,39.2445],[-117.7166,39.2413],[-117.7195,39.2318],[-117.7177,39.2272],[-117.7201,39.2245],[-117.7189,39.2213],[-117.7207,39.2177],[-117.7224,39.2132],[-117.7254,39.2132],[-117.7301,39.2113],[-117.7343,39.2091],[-117.7366,39.2027],[-117.742,39.1986],[-117.7425,39.195],[-117.7425,39.1918],[-117.7437,39.1909],[-117.7467,39.1905],[-117.7497,39.1886],[-117.7526,39.185],[-117.7615,39.1845],[-117.7698,39.175],[-117.7769,39.1741],[-117.7787,39.175],[-117.7811,39.1754],[-117.7822,39.1741],[-117.7822,39.1718],[-117.7834,39.1709],[-117.7852,39.17],[-117.7888,39.17],[-117.7899,39.1686],[-117.7893,39.1664],[-117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Joshua 0000-0002-2858-1228 jcaster@usgs.gov","orcid":"https://orcid.org/0000-0002-2858-1228","contributorId":199033,"corporation":false,"usgs":true,"family":"Caster","given":"Joshua","email":"jcaster@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":939849,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sankey, Joel B. 0000-0003-3150-4992","orcid":"https://orcid.org/0000-0003-3150-4992","contributorId":261248,"corporation":false,"usgs":true,"family":"Sankey","given":"Joel B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":939850,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bransky, Nathaniel 0000-0003-3113-7491","orcid":"https://orcid.org/0000-0003-3113-7491","contributorId":305709,"corporation":false,"usgs":true,"family":"Bransky","given":"Nathaniel","email":"","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":939851,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70269954,"text":"70269954 - 2025 - Experimental drought suppresses amphibian pathogen yet intensifies transmission and disrupts protective skin microbiome","interactions":[],"lastModifiedDate":"2025-08-07T15:57:59.822666","indexId":"70269954","displayToPublicDate":"2025-06-06T08:47:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Experimental drought suppresses amphibian pathogen yet intensifies transmission and disrupts protective skin microbiome","docAbstract":"<p><span>Shifting precipitation regimes driven by global climate change can alter vertebrate behavior and host-symbiont relationships, potentially compromising host resistance to pathogen invasion. In Brazil's Atlantic Forest, a biodiversity hotspot, prior research identified drought as a key factor disrupting the skin microbiome, contributing to a die-off of pumpkin toadlets due to the invasive waterborne fungal pathogen&nbsp;</span><i>Batrachochytrium dendrobatidis</i><span>&nbsp;(Bd). However, observational studies cannot disentangle the direct effect of moisture on Bd growth from increased amphibian activity during wet breeding seasons. Using field enclosures, we experimentally tested the influence of drought conditions on host microhabitat use, Bd disease dynamics, and the composition and predicted Bd-inhibitory function of cutaneous bacterial communities. Each enclosure housed ecologically realistic densities of&nbsp;</span><i>Brachycephalus pitanga</i><span>, a micro-endemic pumpkin toadlet. We simulated a short-term drought in half of the enclosures using translucent tarp coverings. To track individual toadlets, we identified their unique markings and collected skin swabs biweekly over 3 months. We then implemented molecular techniques to quantify Bd loads and characterize skin bacterial diversity and composition over time. Our findings indicate that while drought may reduce overall Bd loads on hosts, this effect is partially offset by an increase in the use of water-filled areas of the enclosures and by a disruption of the protective host skin microbiome. This study provides valuable insights into the cascading impacts of climate change on animal behavior, host-symbiont interactions, and disease dynamics.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70275","usgsCitation":"Buttimer, S., Medina, D., Martins, R.A., da Silva, A., Neely, W.J., Haddad, C.F., DiRenzo, G.V., Catenazzi, A., Bell, R.C., and Becker, C., 2025, Experimental drought suppresses amphibian pathogen yet intensifies transmission and disrupts protective skin microbiome: Global Change Biology, v. 31, no. 6, e70275, 14 p., https://doi.org/10.1111/gcb.70275.","productDescription":"e70275, 14 p.","ipdsId":"IP-171906","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":493803,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.70275","text":"Publisher Index Page"},{"id":493721,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Atlantic Forest","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -33.91702292628108,\n              -6.309338664502832\n            ],\n            [\n              -41.22299586596936,\n              -1.0638270494119197\n            ],\n            [\n              -51.45170879685632,\n              3.6607876112631033\n            ],\n            [\n              -52.112480465505584,\n              1.394527039769148\n            ],\n            [\n              -43.68726454529228,\n              -5.409944247035698\n            ],\n            [\n              -43.71680535232159,\n              -16.48391292460844\n            ],\n            [\n              -53.766910865648555,\n              -32.71442963881694\n            ],\n            [\n              -46.67665591608116,\n              -32.71442963881694\n            ],\n            [\n              -35.94509800292562,\n              -16.941121503280563\n            ],\n            [\n              -33.91702292628108,\n              -6.309338664502832\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"31","issue":"6","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Buttimer, Shannon","contributorId":359179,"corporation":false,"usgs":false,"family":"Buttimer","given":"Shannon","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":945028,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Medina, Daniel","contributorId":359181,"corporation":false,"usgs":false,"family":"Medina","given":"Daniel","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":945029,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Martins, Renato A.","contributorId":359185,"corporation":false,"usgs":false,"family":"Martins","given":"Renato","middleInitial":"A.","affiliations":[{"id":85756,"text":"Universidade Federal de São Carlos","active":true,"usgs":false}],"preferred":false,"id":945030,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"da Silva, Ana Gabrielle Morais","contributorId":359186,"corporation":false,"usgs":false,"family":"da Silva","given":"Ana Gabrielle Morais","affiliations":[{"id":85759,"text":"Centro Universitário Nossa Senhora do Patrocínio (CEUNSP)","active":true,"usgs":false}],"preferred":false,"id":945031,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neely, Wesley J.","contributorId":359187,"corporation":false,"usgs":false,"family":"Neely","given":"Wesley","middleInitial":"J.","affiliations":[{"id":6677,"text":"Texas State University","active":true,"usgs":false}],"preferred":false,"id":945032,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haddad, Célio F.B.","contributorId":359188,"corporation":false,"usgs":false,"family":"Haddad","given":"Célio","middleInitial":"F.B.","affiliations":[{"id":48854,"text":"Universidade Estadual Paulista","active":true,"usgs":false}],"preferred":false,"id":945033,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":945034,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Catenazzi, Alessandro","contributorId":359189,"corporation":false,"usgs":false,"family":"Catenazzi","given":"Alessandro","affiliations":[{"id":7017,"text":"Florida International University","active":true,"usgs":false}],"preferred":false,"id":945035,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bell, Rayna C.","contributorId":359190,"corporation":false,"usgs":false,"family":"Bell","given":"Rayna","middleInitial":"C.","affiliations":[{"id":12937,"text":"California Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":945036,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Becker, C. Guilherme","contributorId":359191,"corporation":false,"usgs":false,"family":"Becker","given":"C. Guilherme","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":945037,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70272280,"text":"70272280 - 2025 - Reevaluation of an adaptive management framework for invasive Grass Carp within Lake Erie","interactions":[],"lastModifiedDate":"2025-11-20T15:52:04.970413","indexId":"70272280","displayToPublicDate":"2025-06-06T08:46:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Reevaluation of an adaptive management framework for invasive Grass Carp within Lake Erie","docAbstract":"<p>Objective</p><p><span>Response efforts to control invasive species frequently require making decisions in the face of substantial uncertainty. Adaptive management, which emphasizes learning during the process of managing, can be useful in cases where uncertainty impedes the decision-making process. Here, we describe how technical and institutional learning led to reformulating decision-making elements, known as double-loop learning, and how uncertainty stemming from a lack of knowledge influenced the selection of alternative strategies in an ongoing adaptive management process for invasive Grass Carp&nbsp;</span><i>Ctenopharyngodon idella</i><span>&nbsp;in Lake Erie.</span></p><p><span>Methods</span></p><p><span>When response efforts began, little was known about the population dynamics, ecology, and biology of Grass Carp within the lake. The availability of funding for sustained response efforts was also unknown. A network population model was constructed that relied heavily on values and estimates from limited data to project adult Grass Carp abundance in Lake Erie and evaluate the ability of various response strategies to achieve the desired objectives. After this initial assessment, the collection of new information was emphasized as response efforts increased to aid future assessments. With this expanded knowledge and including additional input from stakeholders, we modified the population model, evaluated new response scenarios, refined objectives, and examined the influence of uncertainty (parameter and expert opinion) on Grass Carp response efforts.</span></p><p><span>Results</span></p><p><span>Under uncertainty of population model parameters and expert opinion, the value-of-information analysis revealed that uncertainties in spawning deterrent efficacy, survival, and the underlying stock–recruitment relationship were important and could change the preferred decision. The efficiency of spawning deterrents influenced the preferred decision outcome among alternative strategies, particularly when &gt;80% of fish were allowed to pass and spawn, indicating that a deterrent may not be worth implementing if passing rates are above this threshold.</span></p><p><span>Conclusions</span></p><p><span>We thereby demonstrate the benefits for invasive species management programs of implementing learning and resolving uncertainties within an adaptive management framework to improve decision making.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnaf024","usgsCitation":"Bopp, J., Robinson, K.F., Nathan, L., Herbst, S., Brenden, T.O., Mayer, C.M., and Dettmers, J.M., 2025, Reevaluation of an adaptive management framework for invasive Grass Carp within Lake Erie: Transactions of the American Fisheries Society, v. 154, no. 5, p. 490-504, https://doi.org/10.1093/tafafs/vnaf024.","productDescription":"15 p.","startPage":"490","endPage":"504","ipdsId":"IP-165964","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496687,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.54903263434814,\n              42.00756417508734\n            ],\n            [\n              -83.5079013302731,\n              41.399469691253245\n            ],\n            [\n              -81.65747786109802,\n              41.376324727953744\n            ],\n            [\n              -78.90242947789875,\n              42.5800429820176\n            ],\n            [\n              -78.82019103981635,\n              42.918027622493554\n            ],\n            [\n              -81.18461172886784,\n              42.777400416489556\n            ],\n            [\n              -82.57242629175322,\n              42.229538209014315\n            ],\n            [\n              -83.54903263434814,\n              42.00756417508734\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"154","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Bopp, Justin","contributorId":340933,"corporation":false,"usgs":false,"family":"Bopp","given":"Justin","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":950661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nathan, Lucas","contributorId":351530,"corporation":false,"usgs":false,"family":"Nathan","given":"Lucas","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":950663,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herbst, Seth","contributorId":252926,"corporation":false,"usgs":false,"family":"Herbst","given":"Seth","affiliations":[{"id":50471,"text":"Michigan Department of Natural Resources, Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":950664,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brenden, Travis O.","contributorId":362621,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis","middleInitial":"O.","affiliations":[{"id":86538,"text":"Department of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":950665,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mayer, Christine M.","contributorId":362622,"corporation":false,"usgs":false,"family":"Mayer","given":"Christine","middleInitial":"M.","affiliations":[{"id":12455,"text":"University of Toledo","active":true,"usgs":false}],"preferred":false,"id":950666,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dettmers, John M.","contributorId":362623,"corporation":false,"usgs":false,"family":"Dettmers","given":"John","middleInitial":"M.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":950667,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70268190,"text":"70268190 - 2025 - The Grouse & Grazing Project: Effects of cattle grazing on demographic traits of greater sage-grouse","interactions":[],"lastModifiedDate":"2025-06-17T13:46:43.079905","indexId":"70268190","displayToPublicDate":"2025-06-06T08:44:21","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":5373,"text":"Cooperator Science Series","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"170-2025","title":"The Grouse & Grazing Project: Effects of cattle grazing on demographic traits of greater sage-grouse","docAbstract":"<p><span>Greater sage-grouse (Centrocercus urophasianus) were once widespread within&nbsp;</span><span class=\"glossify-tooltip-link glossify-tooltip-popup\" aria-label=\"The western United States’ sagebrush country encompasses over 175 million acres of public and private lands. The sagebrush landscape provides many benefits to our rural economies and communities, and it serves as crucial habitat for a diversity of wildlife, including the iconic greater sage-grouse and over 350 other species.\">sagebrush<span>&nbsp;</span></span><span>-grassland ecosystems of western North America, but populations have declined since the mid-1960s. Though sage-grouse were not listed as threatened or endangered under the Endangered Species Act (ESA), when examined in 2015, they remain a species of interest and concern. Roughly half of the sage-grouse’s remaining habitat is on federal land, most of it managed by the Bureau of Land Management (BLM) and the U.S. Forest Service (USFS). Livestock grazing is the most extensive land use within sage-grouse habitat and the effects of livestock grazing on sage-grouse are often debated. The extensive decade-long research project summarized in this report was initiated to provide rigorous experimental research to inform the debate regarding the relationship between livestock grazing and sage-grouse. In 2012, the Idaho Grouse &amp; Grazing Project was started with several partners including the University of Idaho, BLM, Idaho Department of Fish and Game (IDFG), and other partners to evaluate the effects of cattle grazing on sage-grouse vital rates. Many additional supporters have provided resources to this research effort including the Public Lands Council, Idaho Cattle Association, Idaho Governor’s Office of Species Conservation, Western Association of Fish &amp; Wildlife Agencies, U.S. Fish and Wildlife Service, USFS, and numerous grazing associations and ranchers in Idaho. This 10-year research project was a scientifically rigorous and replicated experiment, occurring across five study sites in Idaho. This document is intended to provide a summary of the findings of this unprecedented study. Annual reports are available on the project’s website:&nbsp;</span><a href=\"https://idahogrousegrazing.org/\" data-mce-href=\"https://idahogrousegrazing.org/\">https://idahogrousegrazing.org</a><span>&nbsp;and scientific papers are being prepared and submitted to journals. The project focused on the influence of spring cattle grazing on sage-grouse vital rates across five study sites in Idaho including 21 BLM grazing pastures. From 2014-2023, we captured 1,343 grouse, documented the fate of 1,285 nests, and tracked 399 broods. Vegetation was characterized at 4,777 plots and grazing utilization levels were recorded at &gt;30,000 locations. Because insects are an important food source for sage-grouse hens and their chicks, insect biomass and diversity were also examined in this study. We collected arthropods in 12,151 pitfall samples and 6,217 sweep-net samples across 786 plots within our five study sites. At each study site, three or four grazing treatments were implemented after two years of pre-treatment field investigations. These controlled cattle grazing treatments included spring-grazing in even years, spring-grazing in odd years, spring-and-fall grazing in alternating years, and a no grazing (or rested) control. Once grazing treatments were implemented at a study site, we measured sage-grouse demographic traits for 4-8 years post-treatment. Stocking rate (grazing intensity) was assessed across pastures each year and was influenced by vegetation communities, topography, and water sources. Grazed pastures exhibited lower grass cover and height compared to the no grazing pastures, and the extent of this difference varied based on annual precipitation levels. Rested pastures maintained higher grass cover and grass height, but the differences in habitat&nbsp;</span><span class=\"glossify-tooltip-link glossify-tooltip-popup\" aria-label=\"Something temporarily or permanently constructed, built, or placed; and constructed of natural or manufactured parts including, but not limited to, a building, shed, cabin, porch, bridge, walkway, stair steps, sign, landing, platform, dock, rack, fence, telecommunication device, antennae, fish cleaning table, satellite dish/mount, or well head.\">structure<span>&nbsp;</span></span><span>did not consistently translate to differences in sage-grouse demographic traits. Apparent nesting success varied annually and by site, ranging from 24% to 44% over the study period. Like some other studies, results from this research show that successful (i.e., hatched) sage-grouse nests have taller grass heights than failed nests. The average grass height surrounding successful nests in grazed pastures was shorter than that surrounding successful nests in non-grazed (i.e., rested) pastures. It is well documented that grazing reduces grass height, and these observations have led to widely held assumptions that livestock grazing reduces grass height which negatively affects sage-grouse nesting habitat. At the pasture scale, this study has found that sage-grouse nesting success is no greater in pastures that were rested for 4-8 years than those currently or recently grazed. This study gives no indication that removing cattle from pastures affected nesting success. We found some evidence that nest density varied among the grazing treatments, but we did not see compelling evidence of increases in density of nesting hens following cessation of grazing in the no grazing treatments. Brood survival varied by site and year but showed no strong effect of grazing treatment. Climatic conditions, particularly drought in 2021, had a greater effect on brood survival than grazing metrics. We also found no differences in hen survival among the grazing treatments. Results of this study suggest that hens nesting in spring and fall grazed pastures had similar or even slightly higher brood survival than hens in the rested pastures or the spring grazed pastures. Arthropod biomass and species diversity varied among our study sites and the differences between grazed and rested pastures also varied among study sites. Average biomass and diversity of arthropods was higher in the spring grazed pastures on two of three sites examined but higher in the rested pastures on the other site examined. Some taxa of arthropods were more abundant in grazed pastures while other taxa were more abundant in rested pastures. For example, Carabidae (Ground Beetles) and Formicidae (Ants) had higher biomass in grazed pastures, while Tenebrionidae (Darkling Beetles) and Acrididae (Grasshoppers) had higher biomass in non-grazed pastures. Results indicate that grazing effects on arthropod biomass and arthropod diversity are study site-dependent, suggesting a need to better quantify the most important prey taxa for sage-grouse chicks and to better control for other factors that influence arthropod abundance. Based on results of this research, livestock grazing, when properly managed, does not appear to negatively impact sage-grouse nest survival or brood success. This study provides critical insights for land managers balancing livestock production with sage-grouse conservation, supporting adaptive grazing strategies that maintain both economic and ecological objectives.</span></p>","language":"English","publisher":"U.S. Fish & Wildlife Service","doi":"10.3996/css82003131","usgsCitation":"Conway, C.J., Tisdale, C.A., Launchbaugh, K., Stevens, B.S., Overlie, G., Eigenbrode, S., Makela, P., and Roberts, S.B., 2025, The Grouse & Grazing Project: Effects of cattle grazing on demographic traits of greater sage-grouse: Cooperator Science Series 170-2025, 90 p., https://doi.org/10.3996/css82003131.","productDescription":"90 p.","ipdsId":"IP-176838","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Idaho","active":true,"usgs":false}],"preferred":false,"id":940427,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Makela, Paul D.","contributorId":355569,"corporation":false,"usgs":false,"family":"Makela","given":"Paul D.","affiliations":[{"id":84780,"text":"United States Department of Interior","active":true,"usgs":false}],"preferred":false,"id":940428,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Roberts, Shane B.","contributorId":338986,"corporation":false,"usgs":false,"family":"Roberts","given":"Shane","email":"","middleInitial":"B.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":940429,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70269063,"text":"70269063 - 2025 - Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response","interactions":[],"lastModifiedDate":"2025-08-04T16:01:10.233946","indexId":"70269063","displayToPublicDate":"2025-06-06T08:43:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (<i>Ctenopharyngodon idella</i>) response","title":"Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response","docAbstract":"<p><span>Grass carp (</span><i>Ctenopharyngodon idella</i><span>) are large, invasive fish that threaten Lake Erie’s economy and ecosystem. Incidental catches of grass carp have occurred since the 1980s in Lake Erie, while multi-day removal events were carried out in 2014 and 2017.</span><span>&nbsp;</span><span>To mitigate ecosystem impacts, a large-scale, multi-agency response to remove as many grass carp as possible from the Lake Erie basin (“strike teams”) began in 2018 and</span><span>&nbsp;</span><span>has increased every year. To date, total annual removals of fish has been the primary measure of progress; however, total annual removals do not indicate how efforts are affecting the grass carp population. Population vital rates, such as mortality rate, can indicate population demographic changes and may provide an alternative approach to measure how removals have impacted the grass carp population. We estimated annual mortality rates using 553 grass carp, representing 82.9&nbsp;% of all grass carp removed in the Lake Erie basin, using a hierarchical catch-curve model and catch-at-age data from 2014 to 2022. Annual average mortality rates were initially low (4.3&nbsp;%) and increased between 2017 and 2022 with the highest mortality (13.6&nbsp;%) observed in 2021. Positive correlations between mortality and the number of fish harvested per year suggest that removals may be driving increases in the grass carp mortality rate. This increase in mortality rate shows promise for controlling the spread of grass carp within the Lake Erie ecosystem. This research supports the needs of fishery managers to better understand grass carp population dynamics and the adaptive management framework identified in the Lake Erie Grass Carp Adaptive Response Strategy.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2025.102606","usgsCitation":"Lang, K., Mayer, C.M., Dufour, M.R., Qian, S.S., Hintz, W.D., Kocovsky, P.M., Young, R., Acre, M.R., Weimer, E., Wilson, T.L., Kemp, C., Dettmers, J., Nathan, L., and Brown, R., 2025, Dead giveaway: Rising mortality rates suggest effectiveness of Lake Erie grass carp (Ctenopharyngodon idella) response: Journal of Great Lakes Research, v. 51, no. 4, 102606, 10 p., https://doi.org/10.1016/j.jglr.2025.102606.","productDescription":"102606, 10 p.","ipdsId":"IP-154267","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":492342,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":492500,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2025.102606","text":"Publisher Index Page"}],"country":"Canada, United States","otherGeospatial":"Lake Erie","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.62623310480353,\n              43.01602308294784\n            ],\n            [\n              -84.31052781273128,\n              43.01602308294784\n            ],\n            [\n              -84.31052781273128,\n              40.77795698325497\n            ],\n            [\n              -78.62623310480353,\n              40.77795698325497\n            ],\n       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0000-0002-9755-5314","orcid":"https://orcid.org/0000-0002-9755-5314","contributorId":289161,"corporation":false,"usgs":false,"family":"Hintz","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":62060,"text":"Department of Environmental Sciences and Lake Erie Center, The University of Toledo 6200 Bay Shore Rd., Oregon OH 43616","active":true,"usgs":false}],"preferred":false,"id":943189,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kocovsky, Patrick M. 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":3429,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true}],"preferred":true,"id":943190,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Young, Ryan","contributorId":272036,"corporation":false,"usgs":false,"family":"Young","given":"Ryan","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":943191,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Acre, Matthew Ross 0000-0002-5417-9523","orcid":"https://orcid.org/0000-0002-5417-9523","contributorId":268034,"corporation":false,"usgs":true,"family":"Acre","given":"Matthew","email":"","middleInitial":"Ross","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":943192,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Weimer, Eric","contributorId":244720,"corporation":false,"usgs":false,"family":"Weimer","given":"Eric","affiliations":[{"id":16232,"text":"Ohio Department of Natural 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Commission","active":true,"usgs":false}],"preferred":false,"id":943196,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Nathan, Lucas","contributorId":236997,"corporation":false,"usgs":false,"family":"Nathan","given":"Lucas","affiliations":[{"id":36986,"text":"Michigan Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":943197,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Brown, Ryan","contributorId":204846,"corporation":false,"usgs":false,"family":"Brown","given":"Ryan","affiliations":[{"id":36993,"text":"RAND","active":true,"usgs":false}],"preferred":false,"id":943198,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70273760,"text":"70273760 - 2025 - Influence of cardiotoxicity on visual function in developing zebrafish (<i>Danio rerio</i>) exposed to <i>Deepwater Horizon</i> crude oil","interactions":[],"lastModifiedDate":"2026-01-28T15:09:48.862262","indexId":"70273760","displayToPublicDate":"2025-06-06T08:02:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":874,"text":"Aquatic Toxicology","active":true,"publicationSubtype":{"id":10}},"title":"Influence of cardiotoxicity on visual function in developing zebrafish (<i>Danio rerio</i>) exposed to <i>Deepwater Horizon</i> crude oil","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Polycyclic aromatic hydrocarbons (PAHs) are toxic constituents of crude oil that can induce cardiac dysfunction and vision impairment in early life stage (ELS) fishes. However, it is currently unknown whether visual impairments are independent effects or if they result from underlying PAH cardiotoxicity. To better understand this mechanism, microinjection of microRNA 133b (miR133b) was used to impair cardiac development in ELS zebrafish (injected at &lt;1.25 hpf). Vision and cardiac endpoints were compared between miR133b-injected and oil-exposed zebrafish (4–72 hpf, 54.68–60.41 µg/L tPAH</span><sub>50</sub><span>) to determine the influence of cardiac dysfunction and oil exposure on visual function. At 7 dpf, pericardial area and eye area were measured, and visual function was assessed by optokinetic response (OKR). Over 94 % of&nbsp;miR133b&nbsp;larvae and 45 % of oil-exposed larvae exhibited pericardial edema. Across treatments, there was a strong negative linear correlation between pericardial area and eye area (</span><i>r</i><span>=-0.839,&nbsp;</span><i>p</i><span>&nbsp;&lt; 0.0001). All&nbsp;miR133b&nbsp;larvae that exhibited pericardial edema and 18 % of the oil-exposed larvae that exhibited pericardial edema also exhibited reduced eye area (microphthalmia). In both the&nbsp;miR133b&nbsp;and oil groups, OKR was significantly reduced in larvae exhibiting pericardial edema (</span><i>p</i><span>&nbsp;&lt; 0.0001) and in larvae exhibiting reduced eye area (</span><i>p</i><span>&nbsp;&lt; 0.0001). A negative binomial generalized linear model (GLM) indicated that reduced eye area (</span><i>p</i><span>&nbsp;&lt; 0.0001), rather than pericardial edema (</span><i>p</i><span>&nbsp;= 0.76), was a significant predictor of OKR. However, pericardial edema was strongly correlated with reduced eye area across treatments. These results suggest that visual effects may result from an interaction of cardiotoxicity as well as direct impacts to the visual system.</span></span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.aquatox.2025.107453","usgsCitation":"Leads, R.R., Magnuson, J.T., Greer, J.B., Green, C.S., Schlenk, D., and Roberts, A.P., 2025, Influence of cardiotoxicity on visual function in developing zebrafish (<i>Danio rerio</i>) exposed to <i>Deepwater Horizon</i> crude oil: Aquatic Toxicology, v. 286, 107453, 12 p., https://doi.org/10.1016/j.aquatox.2025.107453.","productDescription":"107453, 12 p.","ipdsId":"IP-176225","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":499166,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"286","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Leads, Rachel R.","contributorId":365676,"corporation":false,"usgs":false,"family":"Leads","given":"Rachel","middleInitial":"R.","affiliations":[{"id":87186,"text":"University of North Texas, Department of Biological Sciences and Advanced Environmental Research Institute, Denton, TX","active":true,"usgs":false}],"preferred":false,"id":954598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magnuson, Jason Tyler 0000-0001-6841-8014","orcid":"https://orcid.org/0000-0001-6841-8014","contributorId":329838,"corporation":false,"usgs":true,"family":"Magnuson","given":"Jason","email":"","middleInitial":"Tyler","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":954599,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":954600,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Green, Corey S.","contributorId":365677,"corporation":false,"usgs":false,"family":"Green","given":"Corey","middleInitial":"S.","affiliations":[{"id":87186,"text":"University of North Texas, Department of Biological Sciences and Advanced Environmental Research Institute, Denton, TX","active":true,"usgs":false}],"preferred":false,"id":954601,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schlenk, Daniel","contributorId":221106,"corporation":false,"usgs":false,"family":"Schlenk","given":"Daniel","email":"","affiliations":[{"id":12655,"text":"University of California, Riverside","active":true,"usgs":false}],"preferred":false,"id":954602,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roberts, Aaron P.","contributorId":365678,"corporation":false,"usgs":false,"family":"Roberts","given":"Aaron","middleInitial":"P.","affiliations":[{"id":87186,"text":"University of North Texas, Department of Biological Sciences and Advanced Environmental Research Institute, Denton, TX","active":true,"usgs":false}],"preferred":false,"id":954603,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70268995,"text":"70268995 - 2025 - Ecological factors decouple Great Lakes fish mercury concentrations trends decadal declines in mercury emissions","interactions":[],"lastModifiedDate":"2025-07-14T14:55:27.547761","indexId":"70268995","displayToPublicDate":"2025-06-06T07:50:06","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Ecological factors decouple Great Lakes fish mercury concentrations trends decadal declines in mercury emissions","docAbstract":"Atmospheric mercury (Hg) deposition has been declining in North America but remains the dominant delivery mechanism to the Great Lakes. The Lakes are highly efficient at bioaccumulating methylmercury, making the fish excellent sentinels for tracking shifts in atmospheric Hg deposition. Invasive mussels have altered biogeochemical processes, prey populations and fish dietary strategies asynchronously and to varied extents across the lower four lakes, impacting fish Hg exposure. To test if fish are adapting to new biogeochemical conditions, we analyzed a 40 year fish archive for carbon and nitrogen isotope ratios and amino acid-specific nitrogen isotope ratios. To assess Hg sources, we measured Hg isotope ratios. We reconstructed and compared energetic pathways that impact fish Hg concentrations to Hg-source trends. We found fish-Hg concentrations are declining but not monotonically due to ecological disturbances. Fish-Hg isotope values, unimpacted by ecological disturbance, confirm that sources of bioaccumulated Hg shift contemporaneously with changes in atmospheric Hg concentrations. Across Lakes, the degree of responsiveness to changes in atmospheric Hg concentrations mirrors the proportion of atmospheric-delivered Hg we previously modeled. Changes in both fish concentrations and fish isotope values outpace paleolimnetic reconstructions suggesting declines in atmospheric Hg concentrations impact fish Hg more than sediment.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c01359","usgsCitation":"Lepak, R., Hoffman, J.C., Janssen, S., Tate, M., Gordon, M., Mahon, M.B., Rumschlag, S.L., Yarnes, C.T., Lennel, B., Krabbenhoft, D.P., Ogorek, J.M., and Hurley, J., 2025, Ecological factors decouple Great Lakes fish mercury concentrations trends decadal declines in mercury emissions: Environmental Science and Technology, v. 59, no. 23, p. 11799-11808, https://doi.org/10.1021/acs.est.5c01359.","productDescription":"10 p.","startPage":"11799","endPage":"11808","ipdsId":"IP-167665","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":492205,"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              -92.64760326850579,\n              47.06495229772227\n            ],\n            [\n              -93.20891184969928,\n              46.103688695042315\n            ],\n            [\n              -87.5500137546485,\n              46.37277272464145\n            ],\n            [\n              -88.67927702635576,\n              43.87776201174143\n            ],\n            [\n              -88.1667738741185,\n              41.499391271886395\n            ],\n            [\n              -80.87190521955166,\n              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]\n}","volume":"59","issue":"23","noUsgsAuthors":false,"publicationDate":"2025-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Lepak, Ryan F. 0000-0003-2806-1895","orcid":"https://orcid.org/0000-0003-2806-1895","contributorId":210990,"corporation":false,"usgs":false,"family":"Lepak","given":"Ryan F.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":942845,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoffman, Joel C.","contributorId":84244,"corporation":false,"usgs":false,"family":"Hoffman","given":"Joel","email":"","middleInitial":"C.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":942846,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942847,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942848,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gordon, Morgann 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0000-0003-3125-8402","orcid":"https://orcid.org/0000-0003-3125-8402","contributorId":304823,"corporation":false,"usgs":false,"family":"Rumschlag","given":"Samantha","email":"","middleInitial":"L.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":942851,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yarnes, Christopher T.","contributorId":190916,"corporation":false,"usgs":false,"family":"Yarnes","given":"Christopher","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":942852,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lennel, Brian A.","contributorId":357903,"corporation":false,"usgs":false,"family":"Lennel","given":"Brian A.","affiliations":[{"id":85562,"text":"US EPA GLNPO","active":true,"usgs":false}],"preferred":false,"id":942853,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":942854,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":942855,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Hurley, James P.","contributorId":147931,"corporation":false,"usgs":false,"family":"Hurley","given":"James P.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":942856,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70267838,"text":"fs20253028 - 2025 - Countdown to Apophis close approach—Cascading hazards from asteroid impacts","interactions":[],"lastModifiedDate":"2025-07-01T14:03:47.065603","indexId":"fs20253028","displayToPublicDate":"2025-06-05T13:58:21","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3028","displayTitle":"Countdown to Apophis Close Approach—Cascading Hazards from Asteroid Impacts","title":"Countdown to Apophis close approach—Cascading hazards from asteroid impacts","docAbstract":"<h1>Introduction</h1><p>Apophis (officially 99942 Apophis, pronounced “uh-PAW-fiss”) is a Near-Earth Object. Primarily composed of the materials that make up the leftover building blocks of the solar system, Near-Earth Objects are small solar system bodies in an orbit around the Sun that brings them close to the Earth. Apophis has been classified as a “potentially hazardous object,” a Near-Earth Object that may be large enough to cause significant damage in the event of an impact. Apophis is not projected to hit the Earth, but it will come close. The U.S. Geological Survey (USGS) is working with other federal partners, industry, academic institutions, and international cooperators to characterize Apophis, prepare for the flyby on Friday, April 13, 2029, and develop investigative and mitigation strategies for potential impacts from other Near-Earth Objects.</p><p>Close approaches of objects the size of Apophis (approximately 340 meters in diameter) or larger are considered rare events, occurring every few thousand years or so. Although Apophis will not impact Earth, the Specific Action Team was convened and included USGS participation, to (1) identify and quantify effects on Apophis from its close flyby with Earth; (2) assess the importance of measuring these effects; (3) categorize these effects according to different tiers of detectable limits; and (4) assess the risk to Earth of a spacecraft rendezvous with Apophis.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253028","usgsCitation":"Titus, T., Pigue, L., and Morton, L., 2025, Countdown to Apophis close approach: Cascading hazards from asteroid impacts: U.S. Geological Survey Fact Sheet 2025–3028, 2 p., https://doi.org/10.3133/fs20253028.","productDescription":"2 p.","onlineOnly":"Y","ipdsId":"IP-171612","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":489525,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3028/images"},{"id":489522,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3028/coverthb.jpg"},{"id":489523,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3028/fs20253028.pdf","text":"Report","size":"8.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3028"},{"id":489524,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253028/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3028"},{"id":489526,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3028/fs20253028.XML"}],"contact":"<p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishedDate":"2025-06-05","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Titus, Tim 0000-0003-0700-4875","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":356299,"corporation":false,"usgs":false,"family":"Titus","given":"Tim","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":939090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pigue, Lori 0000-0002-6675-6877","orcid":"https://orcid.org/0000-0002-6675-6877","contributorId":356300,"corporation":false,"usgs":false,"family":"Pigue","given":"Lori","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":939089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morton, Lucienne 0009-0000-4597-0391","orcid":"https://orcid.org/0009-0000-4597-0391","contributorId":356301,"corporation":false,"usgs":false,"family":"Morton","given":"Lucienne","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":false,"id":939091,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70267837,"text":"sir20255020 - 2025 - Paleomagnetic correlation of surface and subsurface basalt flows in the central and southwestern part of the Idaho National Laboratory, Idaho","interactions":[],"lastModifiedDate":"2025-08-14T19:19:57.880107","indexId":"sir20255020","displayToPublicDate":"2025-06-05T13:12:11","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5020","displayTitle":"Paleomagnetic Correlation of Surface and Subsurface Basalt Flows in the Central and Southwestern Part of the Idaho National Laboratory, Idaho","title":"Paleomagnetic correlation of surface and subsurface basalt flows in the central and southwestern part of the Idaho National Laboratory, Idaho","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the U.S. Department of Energy, used paleomagnetic data from 22 coreholes to construct 3 fence diagrams of subsurface basalt flows in the southern part of the Idaho National Laboratory. These diagrams provide comprehensive descriptions of the horizontal and vertical distribution of basalt flows and sediment layers beneath the surface, aiding geological studies and contributing valuable data to numerical models of groundwater flow and contaminant transport. The correlations established though these diagrams include spatial correlations between basalt flows found in multiple coreholes. Correlations were identified by matching average paleomagnetic inclinations and confirming or denying these correlations using petrology, geochemistry and radiometric ages.</p><p>The fence diagrams aid in identifying potential locations of subsurface vents, volcanic vents that have been buried by more recent volcanic activity, associated to subsurface basalt flows. By tracing the subsurface flows and analyzing where the greatest thickness occurs, the locations of buried vents can be inferred. Some subsurface flows exhibit correlations across several coreholes and may indicate yet unidentified surface or buried vents, thereby enhancing our understanding of the volcanic history and subsurface geology of the region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255020","collaboration":"Prepared in cooperation with the U.S. Department of Energy","programNote":"DOE/ID-22263","usgsCitation":"Hodges, M.K.V., Trcka, A.R., and Champion, D.E., 2025, Paleomagnetic correlation of surface and subsurface basalt flows in the central and southwestern part of the Idaho National Laboratory, Idaho: U.S. Geological Survey Scientific Investigations Report 2025–5020, 38 p., 1 pl., https://doi.org/10.3133/sir20255020.","productDescription":"Report: vi, 38 p.; 1 Plate: 50.00 x 32.00 inches; Data Release","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-107892","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":489517,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255020/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5020"},{"id":489516,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5020/sir20255020.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5020"},{"id":489515,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5020/coverthb.jpg"},{"id":489518,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2025/5020/sir20255020_plate1.pdf","text":"Plate 1","size":"476 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5020 Plate 1","linkHelpText":"- Subsurface stratigraphic fence diagrams interpreted from paleomagnetic inclination data from coreholes in the southern part of the Idaho National Laboratory, Idaho, pl. 1"},{"id":489519,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LTUTU8","text":"USGS data release","description":"USGS data release","linkHelpText":"Paleomagnetic inclination data collected from Coreholes EREF-GW-1, STF-PIE-AQ-02, TAN 2336, USGS 138, USGS 139, USGS 142, USGS 143, USGS 144, USGS 145, USGS 147, and USGS 148A, located at and near the Idaho National Laboratory, Idaho"},{"id":489520,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5020/images"},{"id":489521,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5020/sir20255020.XML"},{"id":494133,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118634.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Idaho","otherGeospatial":"Idaho National Laboratory","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.5,\n              43.75\n            ],\n            [\n              -113.125,\n              43.75\n            ],\n            [\n              -113.125,\n              43.26602031163614\n            ],\n            [\n              -112.5,\n              43.26602031163614\n            ],\n            [\n              -112.5,\n              43.75\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_id@usgs.gov\" data-mce-href=\"mailto:dc_id@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/id-water\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/id-water\">Idaho Water Science Center</a><br>U.S. Geological Survey<br>230 Collins Rd<br>Boise, Idaho 83702-4520</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Geologic Setting and Framework</li><li>Sampling and Analytical Methods</li><li>Fence Diagram Correlations of Basalt Flows</li><li>Volcanic Vents and Associated Basalt Flows</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishedDate":"2025-06-05","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Hodges, Mary 0000-0001-8708-0354 mkhodges@usgs.gov","orcid":"https://orcid.org/0000-0001-8708-0354","contributorId":172612,"corporation":false,"usgs":true,"family":"Hodges","given":"Mary","email":"mkhodges@usgs.gov","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":939086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Trcka, Allison R. 0000-0001-8498-4737 atrcka@usgs.gov","orcid":"https://orcid.org/0000-0001-8498-4737","contributorId":303227,"corporation":false,"usgs":true,"family":"Trcka","given":"Allison","email":"atrcka@usgs.gov","middleInitial":"R.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":939087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":939088,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70268656,"text":"70268656 - 2025 - Evaluation of 6PPD-quinone lethal toxicity and sublethal effects on disease resistance and swimming fitness in coastal cutthroat trout (Oncorhynchus clarkii clarkii)","interactions":[],"lastModifiedDate":"2025-07-08T17:53:32.582911","indexId":"70268656","displayToPublicDate":"2025-06-05T10:49:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of 6PPD-quinone lethal toxicity and sublethal effects on disease resistance and swimming fitness in coastal cutthroat trout (Oncorhynchus clarkii clarkii)","docAbstract":"<p><span>6PPD-quinone (6PPDQ), derived from the tire-protectant 6PPD reacting with ozone, is an emerging contaminant of concern owing to its role in coho salmon (</span><i>Oncorhynchus kisutch</i><span>) deaths via urban runoff mortality syndrome (URMS). Given the impact of 6PPDQ on aquatic life in urban streams, we addressed the acute toxicity of 6PPDQ exposure on coastal cutthroat trout (CCT) (</span><i>Oncorhynchus clarkii clarkii</i><span>), a species sympatric with coho salmon in natal watersheds. Using static exposures coupled with analytical chemistry, we determined the 24-h LC</span><sub>50</sub><span>&nbsp;values for alevin (297.2 ng/L), swim-up fry (39.6 ng/L), 5-month parr (103.3 ng/L), and 13-month juveniles (185.9 ng/L)─values similar to toxicity observed in coho salmon. Additionally, the 96-h LC</span><sub>50</sub><span>&nbsp;(77.6 ng/L) was 2.4 times more lethal for juvenile CCT. We assessed potential effects of sublethal 6PPDQ exposure on disease resistance to infectious hematopoietic necrosis (IHN), an endemic viral disease of Pacific salmon, and to swimming performance. Sublethal 6PPDQ (53.6 ng/L) did not affect survival of parr exposed to IHN virus compared to virus alone. Conversely, 6PPDQ exposure as low as 72.2 ng/L significantly reduced 15- and 24-month juvenile swimming performance, and 120.5 ng/L 6PPDQ increased blood hematocrit. Overall, CCT are the second most sensitive species tested to date for 6PPDQ sensitivity which further emphasizes the need for identifying alternatives to 6PPD.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c03697","usgsCitation":"Shankar, P., Dalsky, E.M., Salzer, J.E., Lane, R.F., Hammond, S., Batts, W.N., Gregg, J.L., Greer, J.B., Kurath, G., Hershberger, P., and Hansen, J.D., 2025, Evaluation of 6PPD-quinone lethal toxicity and sublethal effects on disease resistance and swimming fitness in coastal cutthroat trout (Oncorhynchus clarkii clarkii): Environmental Science and Technology, v. 59, no. 23, p. 11505-11514, https://doi.org/10.1021/acs.est.5c03697.","productDescription":"10 p.","startPage":"11505","endPage":"11514","ipdsId":"IP-176697","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":492075,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.5c03697","text":"Publisher Index Page"},{"id":491847,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"23","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Shankar, Prarthana 0000-0001-6918-0597","orcid":"https://orcid.org/0000-0001-6918-0597","contributorId":345080,"corporation":false,"usgs":true,"family":"Shankar","given":"Prarthana","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dalsky, Ellie Maureen 0000-0001-8299-7198","orcid":"https://orcid.org/0000-0001-8299-7198","contributorId":265182,"corporation":false,"usgs":true,"family":"Dalsky","given":"Ellie","email":"","middleInitial":"Maureen","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Salzer, Joanne E. 0000-0002-6235-2779","orcid":"https://orcid.org/0000-0002-6235-2779","contributorId":345081,"corporation":false,"usgs":false,"family":"Salzer","given":"Joanne","middleInitial":"E.","affiliations":[{"id":82486,"text":"Formerly USGS, Western Fisheries Research Center","active":true,"usgs":false}],"preferred":false,"id":941583,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lane, Rachael F. 0000-0001-9202-0612","orcid":"https://orcid.org/0000-0001-9202-0612","contributorId":222471,"corporation":false,"usgs":true,"family":"Lane","given":"Rachael","email":"","middleInitial":"F.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":941584,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hammond, Sophie Elizabeth","contributorId":357503,"corporation":false,"usgs":false,"family":"Hammond","given":"Sophie Elizabeth","affiliations":[{"id":85434,"text":"Formerly USGS Western Fisheries Research Center","active":true,"usgs":false}],"preferred":false,"id":941585,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Batts, William N. 0000-0002-6469-9004 bbatts@usgs.gov","orcid":"https://orcid.org/0000-0002-6469-9004","contributorId":3815,"corporation":false,"usgs":true,"family":"Batts","given":"William","email":"bbatts@usgs.gov","middleInitial":"N.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941586,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gregg, Jacob L. 0000-0001-5328-5482 jgregg@usgs.gov","orcid":"https://orcid.org/0000-0001-5328-5482","contributorId":203912,"corporation":false,"usgs":true,"family":"Gregg","given":"Jacob","email":"jgregg@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941587,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941588,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kurath, Gael 0000-0003-3294-560X","orcid":"https://orcid.org/0000-0003-3294-560X","contributorId":220175,"corporation":false,"usgs":true,"family":"Kurath","given":"Gael","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941589,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hershberger, Paul 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":203322,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941590,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hansen, John D. 0000-0002-3006-2734","orcid":"https://orcid.org/0000-0002-3006-2734","contributorId":220725,"corporation":false,"usgs":true,"family":"Hansen","given":"John","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":941591,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70270738,"text":"70270738 - 2025 - Using angler-submitted records to interpret the spatial seasonality of a large predator (Black bass, Micropterus spp.)","interactions":[],"lastModifiedDate":"2025-08-22T17:42:46.01131","indexId":"70270738","displayToPublicDate":"2025-06-05T10:26:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1661,"text":"Fisheries Research","active":true,"publicationSubtype":{"id":10}},"title":"Using angler-submitted records to interpret the spatial seasonality of a large predator (Black bass, Micropterus spp.)","docAbstract":"<p><span>In addition to having cultural, social, and economic significance, large predatory fish affect aquatic communities from the top down and serve as markers of ecosystem health. A focus on large predators is critical for managing ecosystems, conserving species, and guaranteeing the sustainability<a class=\"topic-link\" title=\"Learn more about sustainability from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/environmental-impact-assessment\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/environmental-impact-assessment\"></a>&nbsp;of aquatic resources. Recreational fishing is inherently biased towards large fish, and anglers possess the strength in numbers and geographical dispersion that enable them to sample the upper tiers of size distributions rarely encountered in standard fish surveys. We sought to further understand the ecological requirements and spatial seasonality<a class=\"topic-link\" title=\"Learn more about seasonality from ScienceDirect's AI-generated Topic Pages\" href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/seasonality\" data-mce-href=\"https://www.sciencedirect.com/topics/earth-and-planetary-sciences/seasonality\"></a>&nbsp;of exceptionally sized black bass (<i>Micropterus </i></span><span>spp.) via angler catches. Black bass&nbsp;</span><u>&gt;</u><span> 3.6 kg were examined across 147 reservoirs in Texas, USA, with 2817 fish recorded by anglers into an online database in 2018–2024. Most fish were caught in late-winter and early-spring in line with spawning activities that included movements in-and-out of shallow water, nest building, and nest defense. Approximately 54 % of fish were caught with bottom-oriented fishing lures and techniques, and 40 % midwater; surface catches were less common. The efficacy of angling techniques varied seasonally. Those effective in winter were midwater, while those effective in summer were bottom or surface. Conversely, a combination of bottom and midwater techniques were effective in the fall and spring, suggesting cyclic habitat transitions. Moreover, the frequency with which fish were caught over various macrohabitats varied seasonally and cyclically. Our findings have the potential to inform habitat management that supports large predators and their migratory relocations. Our findings also underscore the value of using anglers and technology as sources of difficult-to-obtain fish and environmental data that may evade regular monitoring.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.fishres.2025.107423","usgsCitation":"Miranda, L.E., Griffin, F., Neal, J.W., Lang, T.J., Goldstrohm, N., and Mehlmanne, M., 2025, Using angler-submitted records to interpret the spatial seasonality of a large predator (Black bass, Micropterus spp.): Fisheries Research, v. 287, 107423, 11 p., https://doi.org/10.1016/j.fishres.2025.107423.","productDescription":"107423, 11 p.","ipdsId":"IP-176324","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":494542,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70269049,"text":"70269049 - 2025 - Do Graviquakes exist?","interactions":[],"lastModifiedDate":"2025-09-22T15:24:11.317645","indexId":"70269049","displayToPublicDate":"2025-06-05T10:24:05","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Do Graviquakes exist?","docAbstract":"<p><span>The “Graviquake” model, proposed in 2015 as an alternative to the elastic dislocation model, posits that normal faults are passive features dominated by coseismic gravitational collapse into a dilated crustal wedge, and that normal faulting is fundamentally distinct from strike‐slip and reverse faulting. Developed using finite‐element modeling before the 2016 central Apennines earthquake sequence, the model was revamped based on interpreted Differential Interferometric Synthetic Aperture Radar data from these events and used as evidence for a gravitational collapse episode. However, this interpretation relies on miscalculated elevation changes and is not corroborated by independent geophysical and seismological observations. Our analysis exposes fundamental flaws in the Graviquake model. By assuming that faults are passive players, it underrepresents the dynamic role of strain accumulation and release in rocks adjacent to faults. The hypothesized rapid expulsion of overpressurized fluids appears inconsistent with observed diffusion rates and lacks supporting seismological evidence. Part of the uplifted–subsided volume imbalance is likely an artifact arising from data processing, and in part is a transient effect due to the delayed response of the lower crust. Moment tensor analyses detect no isotropic components indicative of gravitational collapse, and observed ground motion and stress‐drop levels remain fully consistent with elastic dislocation theory. In addition, finite‐element modeling of normal faulting replicates observed surface deformation without invoking a collapsing wedge. The Graviquake model proposes a representation of normal‐faulting mechanics that differs significantly from established models and observations. Gravity does play a role in normal faulting, but the elastic dislocation theory remains the definitive framework of fault mechanics. Reinterpreting the 2016 earthquakes as a cascade of gravitational episodes, based on incorrect data processing and modeling, fails to substantiate the Graviquake hypothesis. Persistence in advocating this model could mislead seismic hazard assessment and undermine our understanding of normal faulting.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240279","usgsCitation":"Malagnini, L., Dreger D.., Parsons, T.E., Valensise, G., Michelini, A., and De Natale, G., 2025, Do Graviquakes exist?: Bulletin of the Seismological Society of America, v. 115, no. 5, p. 2073-2095, https://doi.org/10.1785/0120240279.","productDescription":"23 p.","startPage":"2073","endPage":"2095","ipdsId":"IP-173869","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":492248,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":492494,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120240279","text":"Publisher Index Page"}],"volume":"115","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Malagnini, L.","contributorId":358032,"corporation":false,"usgs":false,"family":"Malagnini","given":"L.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dreger D..","contributorId":358033,"corporation":false,"usgs":false,"family":"Dreger D..","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":943099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":943100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valensise, G.","contributorId":358034,"corporation":false,"usgs":false,"family":"Valensise","given":"G.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Michelini, A.","contributorId":358035,"corporation":false,"usgs":false,"family":"Michelini","given":"A.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943102,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"De Natale, G.","contributorId":358036,"corporation":false,"usgs":false,"family":"De Natale","given":"G.","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":943103,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70267496,"text":"gip250 - 2025 - \"Snow to Flow\" postcard","interactions":[],"lastModifiedDate":"2025-06-06T13:51:24.350229","indexId":"gip250","displayToPublicDate":"2025-06-05T10:12:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"250","displayTitle":"\"Snow to Flow\" postcard","title":"\"Snow to Flow\" postcard","docAbstract":"The U.S. Geological Survey has ongoing snowpack monitoring initiatives to help improve water availability estimates and predictions of streamflow.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/gip250","usgsCitation":"Creighton, A.L., 2025, “Snow to Flow” postcard: U.S. Geological Survey General Information Product 250, 2 p., https://doi.org/10.3133/gip250.","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-176203","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":489839,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/gip250/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"GIP 248"},{"id":489695,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/gip/250/gip250.xml"},{"id":489694,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/gip/250/images"},{"id":486622,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/250/gip250.pdf","text":"Report","size":"400 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 248"},{"id":486621,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/250/coverthb2.jpg"}],"contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/colorado-water-science-center/\" data-mce-href=\"https://www.usgs.gov/centers/colorado-water-science-center/\">Colorado Water Science Center</a><br>U.S. Geological Survey<br>Box 25046, Mail Stop 415<br>Denver, CO 80225</p>","publishedDate":"2025-06-05","noUsgsAuthors":false,"publicationDate":"2025-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Creighton, Andrea L. 0000-0003-3183-5396","orcid":"https://orcid.org/0000-0003-3183-5396","contributorId":268162,"corporation":false,"usgs":true,"family":"Creighton","given":"Andrea","email":"","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":938424,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
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