Introduction: The frequency of cyanobacterial blooms seems to have increased globally in recent decades due to human induced eutrophication and climate change. Cyanobacterial blooms can produce several groups of toxins, among which microcystin-LR (MC-LR) is one of the most abundant. Effects of MC-LR on avian microbiome have not been studied and studies in laboratory murines have been limited to metabarcoding of prokaryotes.
Methods: Using RNA shotgun sequencing, we compared the richness and composition of metabolically active prokaryotes, expressed virulence factors, antimicrobial resistance genes, metabolic pathways, Gene Ontology terms, enzymes, and proteins in mallards (Anas platyrhynchos) that were orally exposed to a sublethal dose of MC-LR for one week and unexposed birds.
Results: Richness and composition of all compared features did not differ between exposed and control birds and none were differentially expressed between exposure groups. However, richness and/or composition of all features except virulence factors and Carbohydrate Active enzymes had multiple-fold greater dispersion in exposed birds than in controls. This effect was especially pronounced in expressed metabolic (MetaCyc) pathways.
Discussion: Our results suggest that MC-LR exposure had a stochastic (rather than deterministic) effect on cecal microbiota, especially its function. Observed disturbance of the microbiota homeostasis is consistent with the Anna Karenina Principle. This principle has been documented in a wide range of eukaryotes using primarily microbial community metabarcoding. Although stochastic disturbance of microbiota function has been hypothesized, our study seems to be the first to demonstrate this in an experimental study.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/ftox.2025.1634241","usgsCitation":"Drovetski, S.V., Shearn-Bochsler, V.I., Hofmeister, E.K., Karouna-Reiner, N.K., and Dusek, R.J., 2025, A short-term sublethal oral exposure to microcystin-LR disrupts cecal microbiome homeostasis in mallard: Frontiers in Toxicology, v. 7, 1634241, 10 p., https://doi.org/10.3389/ftox.2025.1634241.","productDescription":"1634241, 10 p.","ipdsId":"IP-179504","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496721,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ftox.2025.1634241","text":"Publisher Index Page"},{"id":496540,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":950140,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Karouna-Reiner, Natalie K.","contributorId":84258,"corporation":false,"usgs":true,"family":"Karouna-Reiner","given":"Natalie","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":950141,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dusek, Robert J. 0000-0001-6177-7479 rdusek@usgs.gov","orcid":"https://orcid.org/0000-0001-6177-7479","contributorId":174374,"corporation":false,"usgs":true,"family":"Dusek","given":"Robert","email":"rdusek@usgs.gov","middleInitial":"J.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":950142,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272446,"text":"70272446 - 2025 - Non-native prey availability and over-compensatory density dependence drive population dynamics of a native fish predator","interactions":[],"lastModifiedDate":"2025-11-21T18:36:50.615069","indexId":"70272446","displayToPublicDate":"2025-10-10T12:29:59","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Non-native prey availability and over-compensatory density dependence drive population dynamics of a native fish predator","docAbstract":"Understanding the factors that regulate population dynamics is crucial for conserving imperiled species. Bull trout (Salvelinus confluentus), a piscivorous salmonid and one of North America's most threatened cold-water species, has declined significantly due to habitat loss, overfishing, invasive species, and climate change. While recovery efforts have primarily targeted these threats, the role of prey availability in influencing bull trout population dynamics under multiple stressors remains poorly understood. Using a stage-based integrated population model, we quantified the effects of non-native prey availability (kokanee; Oncorhynchus nerka), angling pressure, climatic variation, and density-dependent processes on bull trout population dynamics in Lake Koocanusa, a transboundary reservoir and river system (United States and Canada), over a 40-year period (1980–2023). Our results show that bull trout populations are regulated by density-dependent processes, including over-compensation in sub-adult recruitment and reduced adult survival at high densities. Increased kokanee biomass and restricted harvest significantly enhanced bull trout survival and abundance, whereas reduced water availability had a limited negative effect on sub-adult production. Model simulations indicate that as kokanee biomass availability increases, the number of bull trout that can be sustainably harvested also increases. In fact, a modest annual fishery (300 individuals) can be sustained, especially under moderate to high kokanee biomass conditions. These results underscore the importance of prey availability, including non-native species, in supporting bull trout populations. Effective management of threatened apex fish predators like bull trout requires addressing the complex interplay between environmental threats, prey dynamics, and density-dependent mechanisms across all life stages.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.70103","usgsCitation":"Cochrane, M., Cline, T., Schmidt, T.S., Dunnigan, J., Warnock, W., and Muhlfeld, C.C., 2025, Non-native prey availability and over-compensatory density dependence drive population dynamics of a native fish predator: Ecological Applications, v. 35, no. 7, e70103, 16 p., https://doi.org/10.1002/eap.70103.","productDescription":"e70103, 16 p.","ipdsId":"IP-173240","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":496925,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.70103","text":"Publisher Index Page"},{"id":496789,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Montana","otherGeospatial":"Lake Koocanusa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.41674082695792,\n 49.37701492800039\n ],\n [\n -115.41674082695792,\n 48.769300021930604\n ],\n [\n -115.08255833560938,\n 48.769300021930604\n ],\n [\n -115.08255833560938,\n 49.37701492800039\n ],\n [\n -115.41674082695792,\n 49.37701492800039\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"35","issue":"7","noUsgsAuthors":false,"publicationDate":"2025-10-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Cochrane, Madaline","contributorId":362831,"corporation":false,"usgs":false,"family":"Cochrane","given":"Madaline","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":950747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cline, Timothy","contributorId":339987,"corporation":false,"usgs":false,"family":"Cline","given":"Timothy","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":950748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":221742,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis","email":"tschmidt@usgs.gov","middleInitial":"S.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":950749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunnigan, James","contributorId":279960,"corporation":false,"usgs":false,"family":"Dunnigan","given":"James","affiliations":[{"id":48633,"text":"MT FWP","active":true,"usgs":false}],"preferred":false,"id":950750,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warnock, Will","contributorId":362833,"corporation":false,"usgs":false,"family":"Warnock","given":"Will","affiliations":[{"id":83135,"text":"British Columbia Ministry of Water, Land, and Resource Stewardship","active":true,"usgs":false}],"preferred":false,"id":950751,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950752,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273161,"text":"70273161 - 2025 - Initial responses of songbird communities to forest reclamation on legacy surface mines","interactions":[],"lastModifiedDate":"2025-12-17T14:58:18.760746","indexId":"70273161","displayToPublicDate":"2025-10-09T08:51:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Initial responses of songbird communities to forest reclamation on legacy surface mines","docAbstract":"Surface coal mining and subsequent reclamation efforts in the Appalachian Mountains, USA, transform the ecological characteristics of natural landscapes. The Forestry Reclamation Approach (FRA) is a mine reclamation method that emphasizes best management practices in forestry. FRA practices have demonstrated success in establishing native forests and accelerating natural succession on coal mines; however, no studies have empirically examined the effects of the FRA on bird communities. Our study aimed to assess the avian community composition within young forests reclaimed using the FRA after one decade of forest growth. Whereas traditional reclamation practices often support grassland avian guilds, we expected that the FRA would provide habitat for shrubland and young forest avian guilds. Moreover, we sought to determine whether FRA forests would contain known avian indicator species of the native forest land cover. In June 2022, we conducted point count surveys in high-elevation, red spruce-northern hardwood (RS-NH) forests in the Appalachian Mountains of eastern West Virginia, USA. Using Bayesian multispecies occupancy models, we assessed avian guild occupancy and species richness within two FRA forest age classes (2–5 years and 8–11 years). We also examined avian community composition within two older RS-NH reference age classes to predict the future avian composition within FRA forests if reclamation succeeds. We found that the FRA breeding bird community included all of the avian indicator species expected to inhabit a young RS-NH forest. These results suggest that after approximately one decade, legacy mines reclaimed using the FRA are progressing toward a native RS-NH forest that supports associated forest bird communities.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70423","usgsCitation":"Davenport, R.N., Barton, C.D., Cox, J., Guzy, J.C., Sherman, L., Larkin, J.L., Fearer, T., and Price, S.J., 2025, Initial responses of songbird communities to forest reclamation on legacy surface mines: Ecosphere, v. 16, no. 10, e70423, 15 p., https://doi.org/10.1002/ecs2.70423.","productDescription":"e70423, 15 p.","ipdsId":"IP-157888","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497734,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70423","text":"Publisher Index Page"},{"id":497631,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Monongahela National Forest","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.9833,\n 38.6833\n ],\n [\n -78.9833,\n 38.545833\n ],\n [\n -78.8667,\n 38.545833\n ],\n [\n -78.8667,\n 38.6833\n ],\n [\n -78.9833,\n 38.6833\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Davenport, Rebecca N.","contributorId":364334,"corporation":false,"usgs":false,"family":"Davenport","given":"Rebecca","middleInitial":"N.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barton, Christopher D.","contributorId":150222,"corporation":false,"usgs":false,"family":"Barton","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cox, John J.","contributorId":140196,"corporation":false,"usgs":false,"family":"Cox","given":"John J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guzy, Jacquelyn C. 0000-0003-2648-398X","orcid":"https://orcid.org/0000-0003-2648-398X","contributorId":288520,"corporation":false,"usgs":true,"family":"Guzy","given":"Jacquelyn","email":"","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sherman, Lauren","contributorId":336563,"corporation":false,"usgs":false,"family":"Sherman","given":"Lauren","email":"","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Larkin, Jeffery L.","contributorId":364335,"corporation":false,"usgs":false,"family":"Larkin","given":"Jeffery","middleInitial":"L.","affiliations":[{"id":38138,"text":"Indiana University of Pennsylvania","active":true,"usgs":false}],"preferred":false,"id":952546,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fearer, Todd","contributorId":264971,"corporation":false,"usgs":false,"family":"Fearer","given":"Todd","affiliations":[{"id":54600,"text":"Appalacian Mountains Joint Venture","active":true,"usgs":false}],"preferred":false,"id":952547,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Price, Steven J.","contributorId":364336,"corporation":false,"usgs":false,"family":"Price","given":"Steven","middleInitial":"J.","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":952548,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70272060,"text":"70272060 - 2025 - Diel and spatial variability in cyanobacterial composition, gene abundance, and toxin concentration: A pilot study","interactions":[],"lastModifiedDate":"2025-11-14T16:31:39.166686","indexId":"70272060","displayToPublicDate":"2025-10-06T09:26:11","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Diel and spatial variability in cyanobacterial composition, gene abundance, and toxin concentration: A pilot study","docAbstract":"We designed a pilot field study to assess relations between sunlight, cyanobacteria, and cyanotoxins. In 2021, we collected day (07:00 h, 10:00 h, 13:00 h, 16:00 h) and night samples (19:00 h, 22:00 h, 01:00 h, 04:00 h) at two locations in Kabetogama Lake, MN, USA. One sample set was collected from the lakeward end of a boat dock and the other on the nearby shoreline. Cyanobacterial phylogenetic eDNA differences over 24 h (pseudo F = 2.0938, p = 0.127) were not significant. Copies of anatoxin (anaC) and microcystin (mcyE) synthetase genes varied significantly over the sampling times at the dock (Friedman Χ2 = 15.01, df = 7, p = 0.036; Friedman Χ2 = 19.22, df = 7, p = 0.008) and the shoreline (Friedman Χ2 = 19.33, df = 7, p = 0.007; Friedman Χ2 = 20.56, df = 7, p = 0.005), with the highest anaC counts occurring during the night for both sites. Additionally, the highest total and dissolved microcystin concentrations occurred at night. Despite the proximity of the sampling locations, cyanobacterial phylogenetic eDNA results indicate that the variability between sites (pseudo-F = 27.547, p = 0.001) were greater than temporal differences over 24 h (pseudo F = 2.0938, p = 0.127). Understanding the effect of diel and spatial variability may help researchers and resource managers make informed decisions about sampling and potential exposure.
","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-025-18453-5","usgsCitation":"Christensen, V., Katona, L.R., LeDuc, J.F., Maki, R.P., Olds, H., Smith, J.C., and Trompeter, H., 2025, Diel and spatial variability in cyanobacterial composition, gene abundance, and toxin concentration: A pilot study: Scientific Reports, v. 15, 34734, 15 p., https://doi.org/10.1038/s41598-025-18453-5.","productDescription":"34734, 15 p.","ipdsId":"IP-159489","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":496713,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-025-18453-5","text":"Publisher Index Page"},{"id":496495,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Kabetogama Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.88007417752388,\n 48.44937256738547\n ],\n [\n -92.88007417752388,\n 48.422380750562496\n ],\n [\n -92.82383108449349,\n 48.422380750562496\n ],\n [\n -92.82383108449349,\n 48.44937256738547\n ],\n [\n -92.88007417752388,\n 48.44937256738547\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2025-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Christensen, Victoria 0000-0003-4166-7461","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":220548,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949945,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Katona, Leon R. 0000-0001-5323-1871","orcid":"https://orcid.org/0000-0001-5323-1871","contributorId":331458,"corporation":false,"usgs":true,"family":"Katona","given":"Leon","email":"","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949946,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"LeDuc, Jaime F.","contributorId":362078,"corporation":false,"usgs":false,"family":"LeDuc","given":"Jaime","middleInitial":"F.","affiliations":[{"id":86459,"text":"Surfrider Foundation","active":true,"usgs":false}],"preferred":false,"id":949947,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Maki, Ryan P.","contributorId":362079,"corporation":false,"usgs":false,"family":"Maki","given":"Ryan","middleInitial":"P.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":949948,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Olds, Hayley T. 0000-0002-6701-6459 htolds@usgs.gov","orcid":"https://orcid.org/0000-0002-6701-6459","contributorId":215837,"corporation":false,"usgs":true,"family":"Olds","given":"Hayley","email":"htolds@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949949,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, James C.","contributorId":362080,"corporation":false,"usgs":false,"family":"Smith","given":"James","middleInitial":"C.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":949950,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Trompeter, Hailey Elizabeth 0009-0007-6855-5642","orcid":"https://orcid.org/0009-0007-6855-5642","contributorId":358493,"corporation":false,"usgs":true,"family":"Trompeter","given":"Hailey Elizabeth","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":949951,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70272077,"text":"70272077 - 2025 - Magma fragmentation and tephra deposition from a small-volume phreatomagmatic eruption: Blue Lake crater, Oregon, USA","interactions":[],"lastModifiedDate":"2025-11-14T16:06:29.946987","indexId":"70272077","displayToPublicDate":"2025-10-03T08:46:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Magma fragmentation and tephra deposition from a small-volume phreatomagmatic eruption: Blue Lake crater, Oregon, USA","docAbstract":"Maars pose considerable hazards due to their more explosive nature (compared with more common scoria cones) and likelihood that eruptions produce pyroclastic surges. Blue Lake crater is a maar in the Oregon High Cascades that erupted within the last 3000 years, making it one of the youngest eruptions in the Oregon Cascades. Its young, unaltered deposits make it an excellent site to examine the relationship between fragmentation processes and ash characteristics. This paper presents an extensive data set of grain size, componentry, texture, particle morphology, and surface features for 23 samples from 17 layers from Blue Lake crater to better understand fragmentation style and eruptive dynamics over the course of the eruption. We present detailed stratigraphy from 22 tephra pits and analyze tephra samples following a standardized method. An improved isopach map and a new isopleth map show the extensive, ENE-trending fallout and surge deposits. Based on the tephra sheet, the eruption can be divided into three phases, starting with a phreatomagmatic phase that produced laterally extensive, lithic-rich fallout deposits and excavated the initial crater. The middle phase of the eruption produced phreatomagmatically fragmented intercalated fallout and surge deposits. The eruption closed with coarse grained fallout deposits with a declining lithic content, indicating a shift towards a hybrid or phreato-Strombolian style. This detailed examination of the deposits leads to a more nuanced explanation of the eruption and fragmentation dynamics, which contribute to a better understanding of maar eruption processes and hazards.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s00445-025-01857-6","usgsCitation":"Leiter, S., Ross, P., and Johnson, E.R., 2025, Magma fragmentation and tephra deposition from a small-volume phreatomagmatic eruption: Blue Lake crater, Oregon, USA: Bulletin of Volcanology, no. 87, 92, 27 p., https://doi.org/10.1007/s00445-025-01857-6.","productDescription":"92, 27 p.","ipdsId":"IP-175655","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":496489,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Blue Lake crater","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.87499438259134,\n 44.522898198963645\n ],\n [\n -121.87499438259134,\n 44.51967210758181\n ],\n [\n -121.87067741535604,\n 44.51967210758181\n ],\n [\n -121.87067741535604,\n 44.522898198963645\n ],\n [\n -121.87499438259134,\n 44.522898198963645\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","issue":"87","noUsgsAuthors":false,"publicationDate":"2025-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Leiter, Sophia","contributorId":362099,"corporation":false,"usgs":false,"family":"Leiter","given":"Sophia","affiliations":[{"id":86462,"text":"Eau Terre Environnement Research Centre","active":true,"usgs":false}],"preferred":false,"id":950000,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ross, Pierre-Simon","contributorId":362100,"corporation":false,"usgs":false,"family":"Ross","given":"Pierre-Simon","affiliations":[{"id":86462,"text":"Eau Terre Environnement Research Centre","active":true,"usgs":false}],"preferred":false,"id":950001,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Emily Renee 0000-0002-7967-6913","orcid":"https://orcid.org/0000-0002-7967-6913","contributorId":269628,"corporation":false,"usgs":true,"family":"Johnson","given":"Emily","email":"","middleInitial":"Renee","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":950002,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272182,"text":"70272182 - 2025 - One hundred ninety-nine dead birds: Review of the scientific basis of ecological incident reporting requirements for pesticide registrants under Fifra § 6(A)(2)","interactions":[],"lastModifiedDate":"2025-11-18T15:41:36.861691","indexId":"70272182","displayToPublicDate":"2025-10-01T09:37:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1088,"text":"Buffalo Environmental Law Journal","active":true,"publicationSubtype":{"id":10}},"title":"One hundred ninety-nine dead birds: Review of the scientific basis of ecological incident reporting requirements for pesticide registrants under Fifra § 6(A)(2)","docAbstract":"The U.S. Environmental Protection Agency (EPA) regulates pesticide use in the United States. The EPA is charged by the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA) with ensuring that a pesticide will not cause unreasonable adverse effects on the environment. Incident reports (documentation of exposure and injury from pesticide applications) can serve as a reality check on the pesticide registration decisions made by the EPA scientists and risk managers. The EPA collects incident reports on human, domestic animal, and ecological injury. The FIFRA section 6(a)(2) rule requires the pesticide registrant (generally, the company or other entity that wishes to market the pesticide, hereafter registrant) to submit such data to the EPA.
The EPA’s ecological incident category includes injuries to aquatic (fish), terrestrial (wildlife), other non-target organisms (ONT, e.g., invertebrates) and plants. Our document focuses on the fish and wildlife ecological incidents that are submitted by registrants. We critique the application of the FIFRA section 6(a)(2) rule that controls the quality and quantity of ecological incident data that the EPA receives from registrants. We conclude that the section 6(a)(2) provisions can impede the transfer of ecological incident data from registrant to the EPA. Consequently, detailed data for many fish and wildlife incidents may never reach the EPA, and policies and decisions may be formulated in the absence of these data.
","language":"English","publisher":"University at Buffalo School of Law","usgsCitation":"Vyas, N.B., and Palmer, C., 2025, One hundred ninety-nine dead birds: Review of the scientific basis of ecological incident reporting requirements for pesticide registrants under Fifra § 6(A)(2): Buffalo Environmental Law Journal, v. 31, 63 p.","productDescription":"63 p.","ipdsId":"IP-154414","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496587,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496572,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://digitalcommons.law.buffalo.edu/belj/vol31/iss1/","linkFileType":{"id":5,"text":"html"}}],"volume":"31","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Vyas, Nimish B. 0000-0003-0191-1319 nvyas@usgs.gov","orcid":"https://orcid.org/0000-0003-0191-1319","contributorId":4494,"corporation":false,"usgs":true,"family":"Vyas","given":"Nimish","email":"nvyas@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":950358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmer, Cynthia","contributorId":362357,"corporation":false,"usgs":false,"family":"Palmer","given":"Cynthia","affiliations":[{"id":86509,"text":"Moms Clean Air Force, c/o Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":950359,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273269,"text":"70273269 - 2025 - Season, wind speed, and seasonal rain are major drivers of a regional aeolian sediment transport model","interactions":[],"lastModifiedDate":"2025-12-29T15:21:51.656","indexId":"70273269","displayToPublicDate":"2025-09-26T09:18:31","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Season, wind speed, and seasonal rain are major drivers of a regional aeolian sediment transport model","docAbstract":"Wind erosion and sediment transport continue to increase in many parts of the world, leading to decreased soil quality, accelerated snow-melt, respiratory diseases, and traffic accidents. The processes that control sediment transport are well understood at small scales of mm to m but are less well understood at larger scales of km to hundreds of km. Here we test four approaches aimed at improving the variance explained in sediment transport measured in a network of 52 horizontal sediment flux collecting devices located on the Colorado Plateau, USA. First, switching from a regression tree to random forest statistical analysis increased the variance in sediment transport explained from 58% to 91%. Soil moisture as a single variable explained 52% of variation in sediment flux, but had a negligible effect on a random forest model with season (Winter, Spring, Summer), wind speed, and seasonal total precipitation. Similarly, adding four years of new data to an existing five-year dataset or adding measurements of soil roughness and grazing failed to improve variance explained. By explaining 91% of the variance in sediment transport, our model provides baseline model for understanding sediment transport on the landscape scale. Dust flux networks in new regions would likely need to collect at least 300-500 samples to describe variation in sediment transport values using random forest analyses of the effects of season, wind speed, seasonal rain and vegetation type.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0333166","usgsCitation":"Kulmatiski, A., Ozturk, M., Bladen, K.K., Brahney, J., and Duniway, M.C., 2025, Season, wind speed, and seasonal rain are major drivers of a regional aeolian sediment transport model: PLoS ONE, v. 20, no. 9, e0333166, 15 p., https://doi.org/10.1371/journal.pone.0333166.","productDescription":"e0333166, 15 p.","ipdsId":"IP-175885","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498292,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0333166","text":"Publisher Index Page"},{"id":498100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","volume":"20","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Kulmatiski, Andrew","contributorId":210408,"corporation":false,"usgs":false,"family":"Kulmatiski","given":"Andrew","email":"","affiliations":[],"preferred":false,"id":952968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ozturk, Mehmet mozturk@usgs.gov","contributorId":196300,"corporation":false,"usgs":false,"family":"Ozturk","given":"Mehmet","email":"mozturk@usgs.gov","affiliations":[],"preferred":false,"id":952969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bladen, Kelvyn K.","contributorId":364634,"corporation":false,"usgs":false,"family":"Bladen","given":"Kelvyn","middleInitial":"K.","affiliations":[{"id":86880,"text":"Department of Mathematics and Statistics, Utah State University, Logan, UT, USA","active":true,"usgs":false}],"preferred":false,"id":952970,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brahney, Janice","contributorId":269810,"corporation":false,"usgs":false,"family":"Brahney","given":"Janice","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":952971,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duniway, Michael C. 0000-0002-9643-2785 mduniway@usgs.gov","orcid":"https://orcid.org/0000-0002-9643-2785","contributorId":219284,"corporation":false,"usgs":true,"family":"Duniway","given":"Michael","email":"mduniway@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952972,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272231,"text":"70272231 - 2025 - Quantifying landscape-level biodiversity change in an island ecosystem: A 50-year assessment of shifts in the Hawaiian avian community","interactions":[],"lastModifiedDate":"2025-11-19T15:01:54.383873","indexId":"70272231","displayToPublicDate":"2025-09-26T07:54:10","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying landscape-level biodiversity change in an island ecosystem: A 50-year assessment of shifts in the Hawaiian avian community","docAbstract":"Hawaii has experienced profound declines in native avifauna alongside the introduction of numerous bird species. While site-specific population studies are common, landscape-level analyses of avian population dynamics are rare, particularly in island ecosystems. To address this gap, we used a density surface model to create a spatio-temporal projection of population densities and distributions across the Island of Hawai‘i, spanning nearly five decades (1976–2023). We incorporated environmental covariates of habitat, precipitation, and elevation, to further refine our projections. Our analysis encompassed nine native and six non-native bird species, inhabiting a range of ecological niches. We found five out of nine native species have declined in density and range size while four were stable. For non-native species, two were stable, one was decreasing, and three were increasing in density and range size. Our landscape projections can inform management by suggesting areas critical for habitat preservation and land acquisition for conservation, identifying where range fragmentation is occurring, and pinpointing locations of multi-species declines that are likely driven by a common cause. Our study demonstrates how long-term, landscape-level monitoring and analyses can advance understanding and addressing biodiversity loss, particularly in vulnerable tropical island ecosystems.
","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/ecog.07907","usgsCitation":"Bak, T., Fortini, L., Hunt, N., Banko, P.C., Schnell, L., and Camp, R.J., 2025, Quantifying landscape-level biodiversity change in an island ecosystem: A 50-year assessment of shifts in the Hawaiian avian community: Ecography, v. 2025, no. 11, e07907, 18 p., https://doi.org/10.1002/ecog.07907.","productDescription":"e07907, 18 p.","ipdsId":"IP-177022","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":496739,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecog.07907","text":"Publisher Index Page"},{"id":496624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.31156357630775,\n 20.24770610218596\n ],\n [\n -156.31156357630775,\n 18.872624778542928\n ],\n [\n -154.63317186924985,\n 18.872624778542928\n ],\n [\n -154.63317186924985,\n 20.24770610218596\n ],\n [\n -156.31156357630775,\n 20.24770610218596\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2025","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-09-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Bak, Trevor","contributorId":292157,"corporation":false,"usgs":false,"family":"Bak","given":"Trevor","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":950519,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fortini, Lucas Berio 0000-0002-5781-7295","orcid":"https://orcid.org/0000-0002-5781-7295","contributorId":236984,"corporation":false,"usgs":true,"family":"Fortini","given":"Lucas Berio","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":950520,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hunt, Noah","contributorId":355564,"corporation":false,"usgs":false,"family":"Hunt","given":"Noah","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":950521,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":950522,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schnell, Lena","contributorId":362454,"corporation":false,"usgs":false,"family":"Schnell","given":"Lena","affiliations":[{"id":86531,"text":"Center for the Environmental Management of Military Lands, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":950523,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":950524,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272023,"text":"70272023 - 2025 - Unveiling coseismic deformation from differenced legacy aerial photography and modern lidar topography: The 1983 M6.9 Borah Peak earthquake, Idaho, USA","interactions":[],"lastModifiedDate":"2025-11-13T16:55:22.485744","indexId":"70272023","displayToPublicDate":"2025-09-25T10:48:59","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":"Unveiling coseismic deformation from differenced legacy aerial photography and modern lidar topography: The 1983 M6.9 Borah Peak earthquake, Idaho, USA","docAbstract":"The 1983 M6.9 Borah Peak, Idaho, earthquake is one of the largest historical normal fault earthquakes in the western United States. We quantified meter-scale vertical change along the 35 km-long rupture using topographic differencing of 1966 aerial imagery and 2019 lidar-derived data. The initial differencing results are largely obscured by horizontal and vertical georeferencing errors and flight-line stripes. Our error corrections are designed to be insensitive to the coseismic deformation and reduced error by 50%. We calculated vertical separation and resolved a maximum of 2.02 ± 0.46 m at Doublespring Pass. Our vertical separation measurements are generally consistent with those from prior studies using field data and post-earthquake topographic data. However, the differencing measurements are a few decimeters lower than these prior measurements, indicating that differencing can isolate historical from prehistoric earthquake deformation. Our study demonstrates that revisiting historical earthquakes can provide new insights into the magnitude and patterns of coseismic deformation.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL115882","usgsCitation":"Scott, C.P., Reitman, N.G., and Bello, S., 2025, Unveiling coseismic deformation from differenced legacy aerial photography and modern lidar topography: The 1983 M6.9 Borah Peak earthquake, Idaho, USA: Geophysical Research Letters, v. 52, no. 18, e2025GL115882, 12 p., https://doi.org/10.1029/2025GL115882.","productDescription":"e2025GL115882, 12 p.","ipdsId":"IP-177417","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":496426,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl115882","text":"Publisher Index Page"},{"id":496410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Borah Peak","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.1667,\n 44.25\n ],\n [\n -114.1667,\n 44\n ],\n [\n -113.667,\n 44\n ],\n [\n -113.667,\n 44.25\n ],\n [\n -114.1667,\n 44.25\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"18","noUsgsAuthors":false,"publicationDate":"2025-09-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Scott, Chelsea P 0000-0002-3884-4693","orcid":"https://orcid.org/0000-0002-3884-4693","contributorId":248847,"corporation":false,"usgs":false,"family":"Scott","given":"Chelsea","email":"","middleInitial":"P","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":949752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":949753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bello, Simone","contributorId":360174,"corporation":false,"usgs":false,"family":"Bello","given":"Simone","affiliations":[{"id":85980,"text":"3Department of Sciences, University G. d’Annunzio Chieti-Pescara, 66100, Chieti, Italy","active":true,"usgs":false}],"preferred":false,"id":949754,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272007,"text":"70272007 - 2025 - Persistence of a declining anuran species across its distribution","interactions":[],"lastModifiedDate":"2025-09-30T15:04:08.866478","indexId":"70272007","displayToPublicDate":"2025-09-22T07:50:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Persistence of a declining anuran species across its distribution","docAbstract":"Information on a species’ population dynamics, such as changes in abundance and distribution, can be used to identify declining populations and initiate conservation efforts and protections. For the Ornate Chorus Frog (Pseudacris ornata), anecdotal observations of local extirpation and population declines have been noted, but trends in its range-wide population status are generally unknown. We used 2227 verified records of Ornate Chorus Frog presence from across the species’ distribution, grouped into 407 populations, and a modified Cormack-Jolly-Seber survival analysis to estimate the probability that historical Ornate Chorus Frog populations persist in the year 2024. Our results suggested that > 36% of historical Ornate Chorus Frog populations are possibly extirpated (probability of persistence < 0.5) and that 33% of populations had a probability of persistence > 0.9. Many of these extant populations occurred in northwestern Florida, southeastern Alabama, and southern Georgia, USA. The probability of persistence was positively influenced by habitat suitability and mean winter precipitation and negatively influenced by urban imperviousness. Ornate Chorus Frogs in protected areas had a higher average probability of persistence compared to populations that were not in protected areas. Our study fills a knowledge gap by identifying regions where Ornate Chorus Frog populations are likely thriving and regions where they may be extinct.
","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0332991","usgsCitation":"Koen, E.L., Ellington, E.H., Barichivich, W.J., Kochman, H., Enge, K.M., and Walls, S.E., 2025, Persistence of a declining anuran species across its distribution: PLoS ONE, v. 20, no. 9, e0332991, 19 p., https://doi.org/10.1371/journal.pone.0332991.","productDescription":"e0332991, 19 p.","ipdsId":"IP-174507","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":496326,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0332991","text":"Publisher Index Page"},{"id":496261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Georgia, Louisiana, Mississippi, North Carolina, South Carolina","otherGeospatial":"southeastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.71784743874963,\n 31.75977874337856\n ],\n [\n -91.41887328015432,\n 30.0038991640329\n ],\n [\n -81.31625954563552,\n 29.20277624190848\n ],\n [\n -76.06558770828089,\n 36.35992621029155\n ],\n [\n -78.31479749126278,\n 36.381895038050445\n ],\n [\n -79.79602141182846,\n 34.412235399163784\n ],\n [\n -83.52645511537602,\n 32.46454458803602\n ],\n [\n -86.36151154434091,\n 32.65274179593238\n ],\n [\n -88.57486167831063,\n 31.21366512354828\n ],\n [\n -91.71784743874963,\n 31.75977874337856\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"20","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Koen, Erin L. 0000-0001-9481-7692","orcid":"https://orcid.org/0000-0001-9481-7692","contributorId":330539,"corporation":false,"usgs":false,"family":"Koen","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":78927,"text":"Cherokee Nation Systems Solutions","active":true,"usgs":false}],"preferred":false,"id":949695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellington, Edward Hance","contributorId":361948,"corporation":false,"usgs":false,"family":"Ellington","given":"Edward","middleInitial":"Hance","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":949696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barichivich, William J. 0000-0003-1103-6861","orcid":"https://orcid.org/0000-0003-1103-6861","contributorId":216371,"corporation":false,"usgs":true,"family":"Barichivich","given":"William","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":949697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kochman, Howard","contributorId":347042,"corporation":false,"usgs":false,"family":"Kochman","given":"Howard","affiliations":[{"id":12545,"text":"USGS retired","active":true,"usgs":false}],"preferred":false,"id":949698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Enge, Kevin M.","contributorId":361950,"corporation":false,"usgs":false,"family":"Enge","given":"Kevin","middleInitial":"M.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":949699,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walls, Susan E. 0000-0001-7391-9155","orcid":"https://orcid.org/0000-0001-7391-9155","contributorId":209862,"corporation":false,"usgs":true,"family":"Walls","given":"Susan","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":949700,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271737,"text":"70271737 - 2025 - Apicomplexan and non-metazoan microeukaryotes in the thermosensitive reef-building coral Acropora hyacinthus shift in abundance throughout an extreme coral bleaching event","interactions":[],"lastModifiedDate":"2025-09-23T14:40:41.565808","indexId":"70271737","displayToPublicDate":"2025-09-21T09:34:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Apicomplexan and non-metazoan microeukaryotes in the thermosensitive reef-building coral Acropora hyacinthus shift in abundance throughout an extreme coral bleaching event","title":"Apicomplexan and non-metazoan microeukaryotes in the thermosensitive reef-building coral Acropora hyacinthus shift in abundance throughout an extreme coral bleaching event","docAbstract":"Coral reefs play vital roles in global marine systems and are currently facing increased threats of bleaching. Coral bleaching is heavily influenced by the host-associated microeukaryote community – most notably the dinoflagellate family Symbiodiniaceae. The apicomplexan family Corallicolidae, is the second most abundant member of the microeukaryote community, yet their role in coral health is largely unknown. To explore the role that this apicomplexan and the greater non-metazoan microeukaryotic community play in coral health, samples of a thermally sensitive scleractinian coral, Acropora hyacinthus, were collected over the course of a severe coral bleaching event and its aftermath. Through 18S rRNA gene sequencing analysis, we found that taxa within the family Corallicolidae were relatively enriched in corals during, and immediately after, the severe bleaching event as compared to before or one year after. Although utilizing 18S rRNA gene sequencing methods is not the standard for Symbiodiniaceae community profiling, we were able to observe symbiont shuffling among the Symbiodiniaceae communities, as the dominant algal symbiont shifted from the genus Cladocopium to the genus Symbiodinium following the bleaching event. Furthermore, the non-metazoan microeukaryote community displayed a general shift towards a state of dysbiosis; evidenced by substantial changes in both microeukaryote community composition and dispersion. These results offer insight into the dynamics of apicomplexans throughout the course of an increasingly common global coral reef stressor.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2025.1626071","usgsCitation":"Peterson, A., Patton, S., Schmeltzer, E.R., Grupstra, C., Howe-Kerr, L., Klinges, J.G., Maher, R., Messyasz, A., Seabrook, S., Thurber, A., Correa, A., and Vega Thurber, R., 2025, Apicomplexan and non-metazoan microeukaryotes in the thermosensitive reef-building coral Acropora hyacinthus shift in abundance throughout an extreme coral bleaching event: Frontiers in Marine Science, v. 12, 1626071, 15 p., https://doi.org/10.3389/fmars.2025.1626071.","productDescription":"1626071, 15 p.","ipdsId":"IP-180885","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496144,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2025.1626071","text":"Publisher Index Page"},{"id":495897,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"French Polynesia","otherGeospatial":"Mo’orea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -149.94261835394644,\n -17.463455039196617\n ],\n [\n -149.94261835394644,\n -17.612716041327616\n ],\n [\n -149.73838596029304,\n -17.612716041327616\n ],\n [\n -149.73838596029304,\n -17.463455039196617\n ],\n [\n -149.94261835394644,\n -17.463455039196617\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"12","noUsgsAuthors":false,"publicationDate":"2025-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Peterson, Athena","contributorId":361686,"corporation":false,"usgs":false,"family":"Peterson","given":"Athena","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":949231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Patton, Sunni","contributorId":361687,"corporation":false,"usgs":false,"family":"Patton","given":"Sunni","affiliations":[{"id":86323,"text":"Oregon State University; University of California;","active":true,"usgs":false}],"preferred":false,"id":949232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmeltzer, Emily Rose 0000-0002-5390-4308","orcid":"https://orcid.org/0000-0002-5390-4308","contributorId":361688,"corporation":false,"usgs":true,"family":"Schmeltzer","given":"Emily","middleInitial":"Rose","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":949233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grupstra, Carsten","contributorId":361689,"corporation":false,"usgs":false,"family":"Grupstra","given":"Carsten","affiliations":[{"id":86324,"text":"Rice University; Boston University; Florida Atlantic University","active":true,"usgs":false}],"preferred":false,"id":949234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Howe-Kerr, Lauren","contributorId":361690,"corporation":false,"usgs":false,"family":"Howe-Kerr","given":"Lauren","affiliations":[{"id":86325,"text":"Rice University; Minderoo Foundation","active":true,"usgs":false}],"preferred":false,"id":949235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klinges, J. Grace","contributorId":361691,"corporation":false,"usgs":false,"family":"Klinges","given":"J.","middleInitial":"Grace","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":949236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maher, Rebecca","contributorId":361692,"corporation":false,"usgs":false,"family":"Maher","given":"Rebecca","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":949237,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Messyasz, Adrianna","contributorId":361693,"corporation":false,"usgs":false,"family":"Messyasz","given":"Adrianna","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":949238,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Seabrook, Sarah","contributorId":361694,"corporation":false,"usgs":false,"family":"Seabrook","given":"Sarah","affiliations":[{"id":86326,"text":"National Institute of Water and Atmospheric Research; Victoria University of Wellington","active":true,"usgs":false}],"preferred":false,"id":949239,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Thurber, Andrew","contributorId":169159,"corporation":false,"usgs":false,"family":"Thurber","given":"Andrew","affiliations":[{"id":25426,"text":"OSU","active":true,"usgs":false}],"preferred":false,"id":949240,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Correa, Adrienne","contributorId":361695,"corporation":false,"usgs":false,"family":"Correa","given":"Adrienne","affiliations":[{"id":86327,"text":"Rice University; University of California","active":true,"usgs":false}],"preferred":false,"id":949241,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vega Thurber, Rebecca","contributorId":361696,"corporation":false,"usgs":false,"family":"Vega Thurber","given":"Rebecca","affiliations":[{"id":86328,"text":"Oregon State University; University of California","active":true,"usgs":false}],"preferred":false,"id":949242,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70271488,"text":"70271488 - 2025 - Reduced Atlantic reef growth past 2 °C warming amplifies sea-level impacts","interactions":[],"lastModifiedDate":"2025-12-01T16:35:40.162981","indexId":"70271488","displayToPublicDate":"2025-09-17T09:09:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Reduced Atlantic reef growth past 2 °C warming amplifies sea-level impacts","docAbstract":"Coral reefs form complex physical structures that can help to mitigate coastal flooding risk1,2. This function will be reduced by sea-level rise (SLR) and impaired reef growth caused by climate change and local anthropogenic stressors3. Water depths above reef surfaces are projected to increase as a result, but the magnitudes and timescales of this increase are poorly constrained, which limits modelling of coastal vulnerability4,5. Here we analyse fossil reef deposits to constrain links between reef ecology and growth potential across more than 400 tropical western Atlantic sites, and assess the magnitudes of resultant above-reef increases in water depth through to 2100 under various shared socioeconomic pathway (SSP) emission scenarios. Our analysis predicts that more than 70% of tropical western Atlantic reefs will transition into net erosional states by 2040, but that if warming exceeds 2 °C (SSP2–4.5 and higher), nearly all reefs (at least 99%) will be eroding by 2100. The divergent trajectories of reef growth and SLR will thus magnify the effects of SLR; increases in water depth of around 0.3–0.5 m above the present are projected under all warming scenarios by 2060, but depth increases of 0.7–1.2 m are predicted by 2100 under scenarios in which warming surpasses 2 °C. This would increase the risk of flooding along vulnerable reef-fronted coasts and modify nearshore hydrodynamics and ecosystems. Reef restoration offers one pathway back to higher reef growth6,7, but would dampen the effects of SLR in 2100 only by around 0.3–0.4 m, and only when combined with aggressive climate mitigation.
","language":"English","publisher":"Nature","doi":"10.1038/s41586-025-09439-4","usgsCitation":"Perry, C.T., de Bakker, D., Webb, A., Comeau, S., Harvey, B., Cornwall, C., Alvarez-Filip, L., Perez-Cervantes, E., Morris, J.T., Enochs, I.C., Toth, L., O'Dea, A., Dillon, E.M., Meesters, E.H., and Precht, W., 2025, Reduced Atlantic reef growth past 2 °C warming amplifies sea-level impacts: Nature, v. 646, p. 619-626, https://doi.org/10.1038/s41586-025-09439-4.","productDescription":"8 p.","startPage":"619","endPage":"626","ipdsId":"IP-174363","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":495742,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41586-025-09439-4","text":"Publisher Index Page"},{"id":495706,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bonaire, Mexico, United 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Global change directly and indirectly affects both social-ecological systems and the landscapes in which they are embedded. Spatial heterogeneity in the location, manifestation of, and responses to global change makes spatially explicit approaches to management and conservation necessary. Spatial regimes, a concept derived from resilience theory, are at the forefront of attempts to operationalize and quantify resilience of dynamic landscapes. Spatial regimes are defined as dynamic landscape units that are shaped by a self-organizing set of processes and structures. They have identifiable spatial extents with discrete boundaries at a given scale that exhibit relative homogeneity in process, structure and composition maintained by feedback mechanisms. Here, we describe the concept of, evidence for, and applications of spatial regimes and how spatial regimes relate to scale and telecoupling of change across social-ecological systems. We emphasize the utility of the concept as an early warning of regime change, one that can provide ample early warning. We discuss methods that can be used to detect spatial regimes and uses of the concept for understanding and managing the spatio-temporal response of social-ecological systems to global change.
","language":"English","publisher":"Elsevier","doi":"10.1016/bs.aecr.2025.08.001","usgsCitation":"Allen, C.R., Garmestani, A., Angeler, D.G., Gunderson, L., Roberts, C.P., Sundstrom, S., Uden, D.R., and Liu, J., 2025, Spatial regimes provide ample early warning of tipping points: Advances in Ecological Research, v. 73, p. 151-167, https://doi.org/10.1016/bs.aecr.2025.08.001.","productDescription":"17 p.","startPage":"151","endPage":"167","ipdsId":"IP-179805","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"73","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Allen, Craig R.","contributorId":362564,"corporation":false,"usgs":false,"family":"Allen","given":"Craig","middleInitial":"R.","affiliations":[{"id":86532,"text":"University of Nebraska – Lincoln","active":true,"usgs":false}],"preferred":false,"id":950596,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Garmestani, Ahjond","contributorId":362565,"corporation":false,"usgs":false,"family":"Garmestani","given":"Ahjond","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":950597,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Angeler, David G.","contributorId":362566,"corporation":false,"usgs":false,"family":"Angeler","given":"David","middleInitial":"G.","affiliations":[{"id":86532,"text":"University of Nebraska – Lincoln","active":true,"usgs":false}],"preferred":false,"id":950598,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gunderson, Lance","contributorId":362567,"corporation":false,"usgs":false,"family":"Gunderson","given":"Lance","affiliations":[{"id":40432,"text":"Emory University","active":true,"usgs":false}],"preferred":false,"id":950599,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roberts, Caleb Powell 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":288567,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","email":"","middleInitial":"Powell","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950600,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sundstrom, S.M.","contributorId":362568,"corporation":false,"usgs":false,"family":"Sundstrom","given":"S.M.","affiliations":[{"id":86532,"text":"University of Nebraska – Lincoln","active":true,"usgs":false}],"preferred":false,"id":950601,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Uden, Daniel R.","contributorId":362569,"corporation":false,"usgs":false,"family":"Uden","given":"Daniel","middleInitial":"R.","affiliations":[{"id":86532,"text":"University of Nebraska – Lincoln","active":true,"usgs":false}],"preferred":false,"id":950602,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Liu, Jianguo 0000-0002-6058-5472","orcid":"https://orcid.org/0000-0002-6058-5472","contributorId":202620,"corporation":false,"usgs":false,"family":"Liu","given":"Jianguo","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":950603,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273972,"text":"70273972 - 2025 - Population structure and movement dynamics of Redband Trout in the Kootenai River basin","interactions":[],"lastModifiedDate":"2026-02-23T16:49:28.185271","indexId":"70273972","displayToPublicDate":"2025-09-14T09:42:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Population structure and movement dynamics of Redband Trout in the Kootenai River basin","docAbstract":"Redband Trout Oncorhynchus mykiss gairdneri is a species of high conservation concern in the Kootenai River basin, United States and Canada. However, identifying the specific mechanisms influencing Redband Trout is difficult as its life history structure is largely unknown. Using otolith microchemistry analysis, we found that 18.5% (n = 66) of the fish sampled (n = 329) were a product of mainstem Kootenai River spawning. The remainder were fish (n = 264) that originated from one of 31 tributaries throughout the basin. Redband Trout were captured between 0 and 153 km from their assigned natal tributaries. Most migratory fish originated from tributaries in the uppermost portion of the study area and had migratory mothers. However, a diversity of life history types (e.g., multi-year resident, migratory) was observed in the population. Redband Trout were estimated to outmigrate from natal habitats at a variety of ages (0–3 years) and lengths (12–430 mm). Our results highlight diversity in the population structure of Redband Trout and provide information valuable to conservation efforts in the Kootenai River system. Interestingly, several tributaries identified as natal habitats of Redband Trout contain substantial obstacles originally considered barriers to upstream fish passage. In addition, some streams in the lower portion of the Kootenai River basin with degraded habitat that were not expected to contribute Redband Trout had natal assignments. These observations indicate previously unknown sources of Redband Trout and support the notion that improved fish passage in disconnected and degraded streams could increase production of Redband Trout throughout the Kootenai River basin. Restoration efforts in the mainstem that include considerations for spawning and natal habitat may also aid in conservation efforts for Redband Trout. Our research demonstrates the value of microchemistry in planning and evaluating habitat restoration to recover fishes in large rivers.
","language":"English","publisher":"Wiley","doi":"10.1002/rra.70027","usgsCitation":"Ghere, C.L., Willmes, M., Hardy, R.S., Ross, T.J., Dunnigan, J., Wilson, S., Carleton, S., Quist, M., 2025, Population structure and movement dynamics of Redband Trout in the Kootenai River basin: River Research and Applications, v. 41, no. 10, p. 2218-2233, https://doi.org/10.1002/rra.70027.","productDescription":"16 p.","startPage":"2218","endPage":"2233","ipdsId":"IP-173297","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, Idaho, Montana","otherGeospatial":"Kootenai River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.54820217627145,\n 49.255751254397154\n ],\n [\n -116.54820217627145,\n 48.57844550786413\n ],\n [\n -115.27704937851809,\n 48.57844550786413\n ],\n [\n -115.27704937851809,\n 49.255751254397154\n ],\n [\n -116.54820217627145,\n 49.255751254397154\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"41","issue":"10","noUsgsAuthors":false,"publicationDate":"2025-09-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Ghere, Courtnie L.","contributorId":352032,"corporation":false,"usgs":false,"family":"Ghere","given":"Courtnie","middleInitial":"L.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":955955,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willmes, Malte","contributorId":198500,"corporation":false,"usgs":false,"family":"Willmes","given":"Malte","email":"","affiliations":[],"preferred":false,"id":955956,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hardy, Ryan S.","contributorId":167032,"corporation":false,"usgs":false,"family":"Hardy","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":955957,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ross, Tyler J.","contributorId":366471,"corporation":false,"usgs":false,"family":"Ross","given":"Tyler","middleInitial":"J.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":955958,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunnigan, James","contributorId":279960,"corporation":false,"usgs":false,"family":"Dunnigan","given":"James","affiliations":[{"id":48633,"text":"MT FWP","active":true,"usgs":false}],"preferred":false,"id":955959,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wilson, Sean","contributorId":352033,"corporation":false,"usgs":false,"family":"Wilson","given":"Sean","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":955960,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carleton, Scott","contributorId":217295,"corporation":false,"usgs":false,"family":"Carleton","given":"Scott","email":"","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":955961,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Quist, Michael C. 0000-0001-8268-1839","orcid":"https://orcid.org/0000-0001-8268-1839","contributorId":272016,"corporation":false,"usgs":true,"family":"Quist","given":"Michael C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":955962,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273430,"text":"70273430 - 2025 - Toward a new framework to evaluate process-based model configurations and quantify data worth prior to calibration","interactions":[],"lastModifiedDate":"2026-01-13T15:35:23.650384","indexId":"70273430","displayToPublicDate":"2025-09-13T08:09:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Toward a new framework to evaluate process-based model configurations and quantify data worth prior to calibration","docAbstract":"Model criticism, discrimination, and selection methods often rely on calibrated model outputs. Because calibration can be computationally expensive, model criticism can first be undertaken by assessing model outputs obtained from limited prior parameter ensembles. However, such prior-based methods are often heuristic and do not formalize the notion of balancing model consistency with data and model complexity (i.e., model adequacy). We present a new framework to discriminate among candidate models prior to calibration that formalizes prior-to-calibration model adequacy into a metric to implicitly balance prior model output data coverage with model complexity represented by prior output (co)variance. The prior model adequacy metric “Mahalanobis distance deviation” quantifies the deviation of (a) the set of squared Mahalanobis distances of data from a prior model output distribution from (b) the set of squared Mahalanobis distances of data from their own distribution. A new data worth metric “discernment value” is also presented which quantifies the value of data for screening less-adequate models prior to calibration. Discernment value is calculated from the change in variance of a weighted average of prior model outputs from all candidate models due to less-adequate model outputs receiving lower weight. The framework is demonstrated using a one-dimensional groundwater flow model with eight possible configurations. A synthetic data network is used to test the framework. Results show the framework identifies the candidate models most similar to the true model used to create the synthetic data. Discernment values show variation in the value of different data types and locations for screening less-adequate models.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025WR040323","usgsCitation":"Pleasants, M.S., Fienen, M., Essaid, H.I., Blomquist, J.D., Yang, J., and Ye, M., 2025, Toward a new framework to evaluate process-based model configurations and quantify data worth prior to calibration: Water Resources Research, v. 61, no. 9, e2025WR040323, 28 p., https://doi.org/10.1029/2025WR040323.","productDescription":"e2025WR040323, 28 p.","ipdsId":"IP-173111","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":498695,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr040323","text":"Publisher Index Page"},{"id":498584,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Pleasants, Mark Shannon 0000-0002-9864-5282","orcid":"https://orcid.org/0000-0002-9864-5282","contributorId":365071,"corporation":false,"usgs":true,"family":"Pleasants","given":"Mark","middleInitial":"Shannon","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":953659,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953660,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Essaid, Hedeff I. 0000-0003-0154-8628 hiessaid@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8628","contributorId":2284,"corporation":false,"usgs":true,"family":"Essaid","given":"Hedeff","email":"hiessaid@usgs.gov","middleInitial":"I.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":953661,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blomquist, Joel D. 0000-0002-0140-6534","orcid":"https://orcid.org/0000-0002-0140-6534","contributorId":215461,"corporation":false,"usgs":true,"family":"Blomquist","given":"Joel","middleInitial":"D.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":953662,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yang, Jing","contributorId":192311,"corporation":false,"usgs":false,"family":"Yang","given":"Jing","affiliations":[],"preferred":false,"id":953663,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ye, Ming","contributorId":194184,"corporation":false,"usgs":false,"family":"Ye","given":"Ming","email":"","affiliations":[],"preferred":false,"id":953664,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271470,"text":"70271470 - 2025 - RUSH: Rapid remote sensing Updates of land cover for Storm and Hurricane forecast models","interactions":[],"lastModifiedDate":"2025-09-17T14:16:15.20186","indexId":"70271470","displayToPublicDate":"2025-09-12T09:10:15","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"RUSH: Rapid remote sensing Updates of land cover for Storm and Hurricane forecast models","docAbstract":"Coastal vegetated ecosystems, including tidal marshes, vegetated dunes, and shrub- and forest-dominated wetlands, can mitigate hurricane impacts such as coastal flooding and erosion by increasing surface roughness and reducing wave energy. Land cover maps can be used as input to improve simulations of surface roughness in advanced hydro-morphological models. Consequently, there is a need for efficient tools to develop up-to-date land cover maps that include the accurate distribution of vegetation types prior to an extreme storm. In response, we developed the RUSH tool (Rapid remote sensing Updates of land cover for Storm and Hurricane forecast models). RUSH delivers high-resolution maps of coastal vegetation for near-real-time or historical conditions via a Jupyter Notebook application and a graphical user interface (GUI). The application generates 3 m spatial resolution land cover maps with classes relevant to coastal settings, especially along mainland beaches, headlands, and barrier islands, as follows: (1) open water; (2) emergent wetlands; (3) dune grass; (4) woody wetlands; and (5) bare ground. These maps are developed by applying one of two seasonal random-forest machine learning models to Planet Labs SuperDove multispectral imagery. Cool Season and Warm Season Models were trained on 665 and 594 reference points, respectively, located across study regions in the North Carolina Outer Banks, the Mississippi Delta in Louisiana, and a portion of the Florida Gulf Coast near Apalachicola. Cool Season and Warm Season Models were tested with 666 and 595 independent points, with an overall accuracy of 93% and 94%, respectively. The Jupyter Notebook application provides users with a flexible platform for customization for advanced users, whereas the GUI, designed with user-experience feedback, provides non-experts access to remote sensing capabilities. This application can also be used for long-term coastal geomorphic and ecosystem change assessments.
","language":"English","publisher":"MDPI","doi":"10.3390/rs17183165","usgsCitation":"Cheang, C.W., Byrd, K., Enwright, N., Buscombe, D.D., Sherwood, C.R., and Gesch, D.B., 2025, RUSH: Rapid remote sensing Updates of land cover for Storm and Hurricane forecast models: Remote Sensing, v. 17, no. 18, 3165, 23 p., https://doi.org/10.3390/rs17183165.","productDescription":"3165, 23 p.","ipdsId":"IP-181890","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":495740,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs17183165","text":"Publisher Index Page"},{"id":495620,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida, Louisiana, North Carolina","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -75.31465945206622,\n 36.559174434474485\n ],\n [\n -77.88584228510663,\n 36.559174434474485\n ],\n [\n -77.88584228510663,\n 33.91023238346908\n ],\n [\n -75.31465945206622,\n 33.91023238346908\n ],\n [\n -75.31465945206622,\n 36.559174434474485\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.10192326737439,\n 30.45731991199513\n ],\n [\n -87.10192326737439,\n 29.369208398587546\n ],\n [\n -84.13516902365296,\n 29.369208398587546\n ],\n [\n -84.13516902365296,\n 30.45731991199513\n ],\n [\n -87.10192326737439,\n 30.45731991199513\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.1992249314043,\n 29.913844234939134\n ],\n [\n -91.59031694232786,\n 29.08029462857938\n ],\n [\n -88.91511480110469,\n 28.968839824460204\n ],\n [\n -88.91511480110469,\n 30.147672625947735\n ],\n [\n -90.0571698662545,\n 30.030758430443434\n ],\n [\n -91.1992249314043,\n 29.913844234939134\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"18","noUsgsAuthors":false,"publicationDate":"2025-09-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Cheang, Chak Wa 0009-0007-5254-2863","orcid":"https://orcid.org/0009-0007-5254-2863","contributorId":361478,"corporation":false,"usgs":true,"family":"Cheang","given":"Chak","middleInitial":"Wa","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":948875,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrd, Kristin 0000-0002-5725-7486 kbyrd@usgs.gov","orcid":"https://orcid.org/0000-0002-5725-7486","contributorId":172431,"corporation":false,"usgs":true,"family":"Byrd","given":"Kristin","email":"kbyrd@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":948876,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enwright, Nicholas 0000-0002-7887-3261","orcid":"https://orcid.org/0000-0002-7887-3261","contributorId":214839,"corporation":false,"usgs":true,"family":"Enwright","given":"Nicholas","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":948877,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buscombe, Daniel D. 0000-0001-6217-5584","orcid":"https://orcid.org/0000-0001-6217-5584","contributorId":198817,"corporation":false,"usgs":false,"family":"Buscombe","given":"Daniel","middleInitial":"D.","affiliations":[],"preferred":false,"id":948878,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":948879,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gesch, Dean B. 0000-0002-8992-4933","orcid":"https://orcid.org/0000-0002-8992-4933","contributorId":361479,"corporation":false,"usgs":false,"family":"Gesch","given":"Dean","middleInitial":"B.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":948880,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70271433,"text":"70271433 - 2025 - Understanding market sensitivity: Estimation of supply and demand elasticities for non-fuel minerals","interactions":[],"lastModifiedDate":"2025-12-01T16:34:29.87096","indexId":"70271433","displayToPublicDate":"2025-09-11T09:02:43","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5502,"text":"Mineral Economics","onlineIssn":"2191-2211","printIssn":"2191-2203","active":true,"publicationSubtype":{"id":10}},"title":"Understanding market sensitivity: Estimation of supply and demand elasticities for non-fuel minerals","docAbstract":"In today’s rapidly changing economic landscape, understanding market responsiveness to price changes and the factors influencing commodity prices has become increasingly relevant. Price elasticities serve as indicators of how variations in market conditions affect supply and demand, providing insights into the sensitivity of commodity markets to price fluctuations. This paper presents a comprehensive analysis of price elasticities of supply and demand for 74 non-fuel mineral commodities including precious metals, base metals, minor metals, and industrial minerals that are utilized across various industries. We employ various econometric techniques, including fixed effects models for panel data and two-stage dynamic ordinary least squares (2S-DOLS) alongside autoregressive distributed lag (ARDL) models for time series analysis, to derive robust estimates of price elasticities. Our findings reveal variability in elasticities among different commodities and indicate that all studied mineral commodities exhibit price inelastic supply and demand in the short run, which we define as one year for the purposes of our analysis, given that the data is all annual. This research provides original estimates of price responsiveness for a wide range of commodities that have not been previously addressed in the literature, thereby enhancing the understanding of market dynamics in the mineral sector. Given that price elasticities can be influenced by factors such as market structure, technological advancements, mining costs, and industry-specific demand drivers, we use variables that serve as proxies for these factors.
","language":"English","publisher":"Springer","doi":"10.1007/s13563-025-00537-3","usgsCitation":"Shojaeddini, E., Alonso, E., Nassar, N.T., Pineault, D., Allen, S.M., Brainard, J.L., McCaffrey, D.M., O'Brien, T.M., Padilla, A.J., and Ryter, J.W., 2025, Understanding market sensitivity: Estimation of supply and demand elasticities for non-fuel minerals: Mineral Economics, v. 38, p. 985-996, https://doi.org/10.1007/s13563-025-00537-3.","productDescription":"12 p.","startPage":"985","endPage":"996","ipdsId":"IP-180072","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":495732,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13563-025-00537-3","text":"Publisher Index Page"},{"id":495491,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","noUsgsAuthors":false,"publicationDate":"2025-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Shojaeddini, Ensieh 0000-0001-9584-6399","orcid":"https://orcid.org/0000-0001-9584-6399","contributorId":346849,"corporation":false,"usgs":true,"family":"Shojaeddini","given":"Ensieh","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alonso, Elisa 0000-0002-0090-8284","orcid":"https://orcid.org/0000-0002-0090-8284","contributorId":223015,"corporation":false,"usgs":true,"family":"Alonso","given":"Elisa","email":"","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nassar, Nedal T. 0000-0001-8758-9732 nnassar@usgs.gov","orcid":"https://orcid.org/0000-0001-8758-9732","contributorId":197864,"corporation":false,"usgs":true,"family":"Nassar","given":"Nedal","email":"nnassar@usgs.gov","middleInitial":"T.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pineault, David 0009-0001-6801-4711","orcid":"https://orcid.org/0009-0001-6801-4711","contributorId":352217,"corporation":false,"usgs":true,"family":"Pineault","given":"David","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948746,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Allen, Sydney M. 0000-0001-6560-3548","orcid":"https://orcid.org/0000-0001-6560-3548","contributorId":359608,"corporation":false,"usgs":true,"family":"Allen","given":"Sydney","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948747,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brainard, Jamie L. 0000-0002-1712-0821","orcid":"https://orcid.org/0000-0002-1712-0821","contributorId":201465,"corporation":false,"usgs":true,"family":"Brainard","given":"Jamie","middleInitial":"L.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948748,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCaffrey, Dalton M. 0000-0002-2539-4865","orcid":"https://orcid.org/0000-0002-2539-4865","contributorId":298840,"corporation":false,"usgs":true,"family":"McCaffrey","given":"Dalton","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948749,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"O'Brien, Timothy M. 0009-0007-7178-100X","orcid":"https://orcid.org/0009-0007-7178-100X","contributorId":361401,"corporation":false,"usgs":true,"family":"O'Brien","given":"Timothy","middleInitial":"M.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948750,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Padilla, Abraham J. 0000-0002-8371-533X","orcid":"https://orcid.org/0000-0002-8371-533X","contributorId":290608,"corporation":false,"usgs":true,"family":"Padilla","given":"Abraham","email":"","middleInitial":"J.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948751,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ryter, John W. 0000-0002-0343-7553","orcid":"https://orcid.org/0000-0002-0343-7553","contributorId":345416,"corporation":false,"usgs":true,"family":"Ryter","given":"John","middleInitial":"W.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":true,"id":948752,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70271914,"text":"70271914 - 2025 - An exploration of the relative influence of physical models for Omori’s law","interactions":[],"lastModifiedDate":"2025-09-24T15:41:11.311135","indexId":"70271914","displayToPublicDate":"2025-09-10T10:36:32","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"An exploration of the relative influence of physical models for Omori’s law","docAbstract":"Omori’s law states that the rate of aftershocks decays as a function of inverse time. There are multiple physical explanations that we reduce into a nonlinear mixed effects relation of three terms: (1) a Rate/State expression that can account for static/dynamic and viscoelastic triggering caused directly by the mainshock, (2) a fluid diffusion triggering term, and (3) a randomized secondary triggering (cascade) term. We fit free physical-model parameters to an observed aftershock sequence through two nonlinear regression methods to find the relative contributions of physics-based models in an observed aftershock sequence. Results from both methods show that Rate/State models overpredict aftershock rates by ∼0–30%. Secondary aftershocks cause a net negative contribution (seismicity rate reduction that corrects overprediction by other terms) ranging between ∼0 and 30%. All regression solutions yield negative secondary triggering contributions without being guided to do so. A physical explanation for this is that aftershock occurrence relieves stress from the crust, ultimately causing the sequence to extinguish itself. Fluid diffusion triggering contributions range from ∼0 to 20%. Diffusion processes are observed to be shorter in time than the full duration of an aftershock sequence and they are also spatially limited, diminishing their influence. Our results apply to an aftershock decay curve from the 2016 Central Apennines earthquake sequence, meaning that our specific results may not be general. Our primary conclusion is that any one physical model cannot alone fit the observed sequence as well as the combination of three we investigated.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2025.1619887","usgsCitation":"Parsons, T.E., Geist, E.L., and Malagnini, L., 2025, An exploration of the relative influence of physical models for Omori’s law: Frontiers in Earth Science, v. 13, 1619887, 20 p., https://doi.org/10.3389/feart.2025.1619887.","productDescription":"1619887, 20 p.","ipdsId":"IP-173870","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":496160,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2025.1619887","text":"Publisher Index Page"},{"id":496017,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","noUsgsAuthors":false,"publicationDate":"2025-09-11","publicationStatus":"PW","contributors":{"authors":[{"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":949363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geist, Eric L. 0000-0003-0611-1150","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":15543,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":949364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":949365,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70271742,"text":"70271742 - 2025 - Causal interpretations can be based on mechanistic knowledge","interactions":[],"lastModifiedDate":"2025-12-01T16:39:54.020377","indexId":"70271742","displayToPublicDate":"2025-09-10T09:51:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2242,"text":"Journal of Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Causal interpretations can be based on mechanistic knowledge","docAbstract":"The Rocky Mountain Population (RMP) of trumpeter swans Cygnus buccinator (hereafter, swans) in North America includes breeders in the Greater Yellowstone Area (GYA) and other western states (together, United States segment) and western provinces of Canada (Canada segment). Conservation concern for the United States segment stems from its slow population growth and the resident nature of GYA swans, which intermingle with migrating Canada segment swans in wintering habitats. Thus, understanding variation in migratory behavior and habitat use by swans in the two population segments can inform how management actions may affect the RMP. We used telemetry data from 55 RMP swans captured in the western United States to understand their movements and habitat use. For 45 swans (60 swan-years) that spent the summer in the United States, distance traveled between breeding and wintering areas ranged from 0 km (i.e., no migration in 22% of swan-years) to 473 km, with an average of nonzero movements of 118 ± 95 km (SD). Swans traveled farther distances when maximum temperatures were lower. For 10 swans (16 swan-years) that spent the summer in Canada, five appeared to molt but not to nest, and four appeared to nest in one or more years. Migration timing was similar for molting and nesting swans. All five molting swans and one nesting swan spent at least one previous summer in the GYA. Migratory connectivity of all birds was weaker in years when more swans migrated to Canada for the summer. During the breeding season, Canada swans used low-elevation lakes, but United States swans used high-elevation lakes. Both groups of swans increased use of crop fields outside of the breeding season. Our study shows interchange between the United States and Canada segments, a finding that challenges the efficacy of existing population designations. Furthermore, variation in movement behavior of GYA swans suggests possible actions, such as restoring winter habitats to increase swan distribution and migration, to support swan conservation.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70096","usgsCitation":"Poessel, S.A., Sanders, T., Long, W., Kristof, A., Reishus, B., Proett, M., Gower, C., Ibrahim, N., and Katzner, T.E., 2025, Movements and habitat use vary across the Rocky Mountain Population of trumpeter swans: Journal of Wildlife Management, v. 89, no. 8, e70096, 18 p., https://doi.org/10.1002/jwmg.70096.","productDescription":"e70096, 18 p.","ipdsId":"IP-160496","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":496640,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -138.95754939868905,\n 61.560322423115394\n ],\n [\n -118.55526728999622,\n 51.12368923776994\n ],\n [\n -119.05891663327156,\n 42.82280620245445\n ],\n [\n -113.19458823923267,\n 41.306395580626145\n ],\n [\n -110.6147155407601,\n 41.23543486615125\n ],\n [\n -111.72918253654919,\n 48.78609382462486\n ],\n [\n -114.68487126300441,\n 52.72581807685856\n ],\n [\n -131.60641572663843,\n 61.0005751873353\n ],\n [\n -138.95754939868905,\n 61.560322423115394\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-09-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Poessel, Sharon A. 0000-0002-0283-627X spoessel@usgs.gov","orcid":"https://orcid.org/0000-0002-0283-627X","contributorId":168465,"corporation":false,"usgs":true,"family":"Poessel","given":"Sharon","email":"spoessel@usgs.gov","middleInitial":"A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":950525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanders, Todd","contributorId":357733,"corporation":false,"usgs":false,"family":"Sanders","given":"Todd","affiliations":[{"id":85545,"text":"U.S. Fish and Wildlife Service, Division of Migratory Bird Management","active":true,"usgs":false}],"preferred":false,"id":950526,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, William","contributorId":242920,"corporation":false,"usgs":false,"family":"Long","given":"William","affiliations":[{"id":48582,"text":"(deceased)","active":true,"usgs":false}],"preferred":false,"id":950527,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kristof, Andrea","contributorId":362455,"corporation":false,"usgs":false,"family":"Kristof","given":"Andrea","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":950528,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reishus, Brandon","contributorId":362456,"corporation":false,"usgs":false,"family":"Reishus","given":"Brandon","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":950529,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Proett, Matt","contributorId":362457,"corporation":false,"usgs":false,"family":"Proett","given":"Matt","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":950530,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gower, Claire","contributorId":362458,"corporation":false,"usgs":false,"family":"Gower","given":"Claire","affiliations":[{"id":39047,"text":"Montana Fish, Wildlife, and Parks","active":true,"usgs":false}],"preferred":false,"id":950531,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ibrahim, Nicole","contributorId":362461,"corporation":false,"usgs":false,"family":"Ibrahim","given":"Nicole","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":950532,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Katzner, Todd E. 0000-0003-4503-8435 tkatzner@usgs.gov","orcid":"https://orcid.org/0000-0003-4503-8435","contributorId":191909,"corporation":false,"usgs":true,"family":"Katzner","given":"Todd","email":"tkatzner@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":950533,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70271364,"text":"70271364 - 2025 - Extremophile hotspots linked to containerized industrial waste dumping in a deep-sea basin","interactions":[],"lastModifiedDate":"2025-09-10T14:21:34.022261","indexId":"70271364","displayToPublicDate":"2025-09-09T09:16:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10942,"text":"PNAS Nexus","active":true,"publicationSubtype":{"id":10}},"title":"Extremophile hotspots linked to containerized industrial waste dumping in a deep-sea basin","docAbstract":"Decaying barrels on the seafloor linked to DDT contamination have raised concerns about the public health implications of decades old industrial waste dumped off the coast of Los Angeles. To explore their contents, we collected sediment cores perpendicular to five deep-sea barrels. The concentration of DDT and its breakdown products were highly elevated relative to control sites yet did not vary with distance from the barrels, suggesting that they were not associated with the contamination. Sediment cores collected through white halos surrounding three barrels were enriched in calcite and had elevated pH. The associated microbial communities were low diversity and dominated by alkalophilic bacteria with metagenome-assembled genomes adapted to high pH. A solid concretion sampled between a white halo and barrel was composed of brucite, a magnesium hydroxide mineral that forms at high pH. Based on these findings, we postulate that leakage of containerized alkaline waste triggered the formation of mineral concretions that are slowly dissolving and raising the pH of the surrounding sediment pore water. This selects for taxa adapted to extreme alkalinity and drives the precipitation of “anthropogenic” carbonates forming white halos, which serve as a visual identifier of barrels that contained alkaline waste. Remarkably, containerized alkaline waste discarded >50 years ago represents a persistent pollutant creating localized mineral formations and microbial communities that resemble those observed at some hydrothermal systems. These formations were observed at one-third of the visually identified barrels in the San Pedro Basin and have unforeseen, long-term consequences for benthic communities in the region.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/pnasnexus/pgaf260","usgsCitation":"Gutleben, J., Podell, S., Mizell, K., Sweeney, D., Neira, C., Levin, L.A., and Jensen, P.R., 2025, Extremophile hotspots linked to containerized industrial waste dumping in a deep-sea basin: PNAS Nexus, v. 4, no. 9, pgaf260, 11 p., https://doi.org/10.1093/pnasnexus/pgaf260.","productDescription":"pgaf260, 11 p.","ipdsId":"IP-176533","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":495761,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/pnasnexus/pgaf260","text":"Publisher Index Page"},{"id":495275,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Pedro basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.61291617535386,\n 34.514462698011144\n ],\n [\n -120.61291617535386,\n 32.94564082277532\n ],\n [\n -117.80700327525463,\n 32.94564082277532\n ],\n [\n -117.80700327525463,\n 34.514462698011144\n ],\n [\n -120.61291617535386,\n 34.514462698011144\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"4","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Gutleben, Johanna","contributorId":361076,"corporation":false,"usgs":false,"family":"Gutleben","given":"Johanna","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":948219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Podell, Sheila","contributorId":361078,"corporation":false,"usgs":false,"family":"Podell","given":"Sheila","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":948220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":948221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sweeney, Douglas","contributorId":361081,"corporation":false,"usgs":false,"family":"Sweeney","given":"Douglas","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":948222,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neira, Carlos","contributorId":361084,"corporation":false,"usgs":false,"family":"Neira","given":"Carlos","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":948223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Levin, Lisa A.","contributorId":361086,"corporation":false,"usgs":false,"family":"Levin","given":"Lisa","middleInitial":"A.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":948224,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jensen, Paul R.","contributorId":361089,"corporation":false,"usgs":false,"family":"Jensen","given":"Paul","middleInitial":"R.","affiliations":[{"id":38264,"text":"Scripps Institution of Oceanography","active":true,"usgs":false}],"preferred":false,"id":948225,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273049,"text":"70273049 - 2025 - Catchment prioritization for freshwater mussel conservation in the Northeastern United States based on distribution modelling","interactions":[],"lastModifiedDate":"2025-12-12T15:25:24.213331","indexId":"70273049","displayToPublicDate":"2025-09-09T09:08:26","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Catchment prioritization for freshwater mussel conservation in the Northeastern United States based on distribution modelling","docAbstract":"Freshwater mussels are critical to the health of freshwater systems, but their populations are declining dramatically throughout the world. The limited resources available for freshwater mussel conservation necessitates the geographic prioritization of conservation-related actions. However, lack of knowledge about freshwater mussel spatial distributions hinders decision making in this context. In this study, we assessed the distribution of twelve native freshwater mussel species across six Northeastern states (Connecticut, Rhode Island, Massachusetts, Vermont, New Hampshire, and Maine) in the United States using data collected from lentic and lotic environments by eight state agencies. We first modeled individual distributions using a maximum entropy (MaxEnt) model and then compiled distribution models to assess the distribution of freshwater mussel species richness. We also determined geographic prioritization for three conservation-related actions: species surveys, land protection, and population restoration of species of high conservation concern. We found that the percent of catchments predicted to have species occurrence (based on a probability threshold) varied across species, with Elliptio complanata (Eastern elliptio) predicted to occur in the greatest percent of available catchments (33.92%) and Alasmidonta heterodon (Dwarf wedgemussel) expected in the smallest percent (5.30%). The predicted overall species richness within our modeled catchments ranged from zero to all twelve species, with an average of two species per catchment. Although conservation priorities vary depending on the conservation action of interest, we found some areas of consistent importance including much of Maine and the southern reaches of the Connecticut River. An improved understanding of freshwater mussel distribution in a landscape framework will enable managers to implement more precise and efficient conservation interventions for these essential aquatic species.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0324387","usgsCitation":"O’Brien, R.S., DiRenzo, G.V., Roy, A.H., Carmignani, J., Quinones, R.M., Rogers, J.B., and Swartz, B.I., 2025, Catchment prioritization for freshwater mussel conservation in the Northeastern United States based on distribution modelling: PLoS ONE, v. 20, no. 9, e0324387, 20 p., https://doi.org/10.1371/journal.pone.0324387.","productDescription":"e0324387, 20 p.","ipdsId":"IP-175157","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497699,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0324387","text":"Publisher Index Page"},{"id":497466,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, 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\"}}]}","volume":"20","issue":"9","noUsgsAuthors":false,"publicationDate":"2025-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"O’Brien, Rebecca S.M.","contributorId":363993,"corporation":false,"usgs":false,"family":"O’Brien","given":"Rebecca","middleInitial":"S.M.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":952157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":952158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":952159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carmignani, Jason","contributorId":360465,"corporation":false,"usgs":false,"family":"Carmignani","given":"Jason","affiliations":[{"id":86008,"text":"Natural Heritage and Endangered Species Program","active":true,"usgs":false}],"preferred":false,"id":952160,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Quinones, Rebecca M.","contributorId":120271,"corporation":false,"usgs":true,"family":"Quinones","given":"Rebecca","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":952161,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rogers, Jennifer B.","contributorId":359344,"corporation":false,"usgs":false,"family":"Rogers","given":"Jennifer","middleInitial":"B.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":952162,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swartz, Beth I.","contributorId":364001,"corporation":false,"usgs":false,"family":"Swartz","given":"Beth","middleInitial":"I.","affiliations":[{"id":39965,"text":"Maine Department of Inland Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":952163,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70271349,"text":"70271349 - 2025 - Analysis of a human-mediated microbioinvasion: The global spread of the benthic foraminifer Trochammina hadai Uchio, 1962","interactions":[],"lastModifiedDate":"2025-09-09T13:42:44.403245","indexId":"70271349","displayToPublicDate":"2025-09-08T08:38:27","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2391,"text":"Journal of Micropalaeontology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Analysis of a human-mediated microbioinvasion: The global spread of the benthic foraminifer Trochammina hadai Uchio, 1962","title":"Analysis of a human-mediated microbioinvasion: The global spread of the benthic foraminifer Trochammina hadai Uchio, 1962","docAbstract":"A non-indigenous species (NIS) of benthic foraminifera was first identified in a core collected in 1993 in San Francisco Bay, California, USA, and subsequently identified as Trochammina hadai Uchio, 1962. Archived samples and literature reviews were used to determine that the species, which is native to Asia, arrived in San Francisco Bay between the early 1960s and 1983. Through molecular analyses of specimens, archived samples and literature reviews from 1930–1983, and site surveys of harbors and estuaries along the western North American seaboard in 1994–2024, in total more than 2500 samples, we documented the presence of T. hadai at 73 locations in the USA and four in Canada. Trochammina hadai has also been recovered at nine sites in Sweden, two in France, three in Brazil, and two locations at one site in Australia. The rapid temporal and geographic spread of the NIS T. hadai in a non-native location is illustrated by a time series from 1930 to 2024 in San Francisco Bay. Between 1980 and 1986, the species' range expanded from low abundance (1.5 %) at a single site to cover nearly the entire South Bay with > 70 % abundance at some locations. By 1995 and continuing into 2010, the species expanded its range into the central and northern portions of San Francisco Bay, commonly with abundances of > 30 % and sometimes exceeding 70 %. This expansion may predate 1995, but a lack of samples makes it difficult to be more precise. Unfortunately, two Pb-210 and Cs-137-dated cores (BC01 and BC02) recovered from northern South Bay and Central Bay did not clarify this point, but additional cores may. Trochammina hadai is an infaunal opportunist that thrives in polluted locations. We surmise the species was introduced along the west coast of the USA in Puget Sound between 1902 and the 1920s, with cultivated oysters and oyster larvae and associated plant matter and residual sediment. This probably also happened in some areas of France, Sweden, and Brazil, where Japanese oysters were introduced in 1966, 1970, and 1975, respectively. After World War II, commercial shipping expanded dramatically and, with it, the release of ballast water and sediment in receiving ports, which introduced NIS worldwide. This primary vector of introduction occurred in large industrial harbors in several countries, sometimes followed by secondary introductions in small industrial centers and marinas by mud attached to the anchors and anchor chains of smaller boats.
","language":"English","publisher":"Copernicus","doi":"10.5194/jm-44-275-2025","usgsCitation":"McGann, M., Holzmann, M., Bouchet, V.M., Disaró, S.T., Eichler, P.P., Haig, D.W., Himson, S.J., Kitazato, H., Pavard, J., Polovodova Asteman, I., Rodrigues, A.R., Tremblin, C.M., Tsuchiya, M., Williams, M., O'Brien, P., Asplund, J., Axelsson, M., and Lorenson, T., 2025, Analysis of a human-mediated microbioinvasion: The global spread of the benthic foraminifer Trochammina hadai Uchio, 1962: Journal of Micropalaeontology, v. 44, no. 2, p. 275-317, https://doi.org/10.5194/jm-44-275-2025.","productDescription":"43 p.","startPage":"275","endPage":"317","ipdsId":"IP-172381","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":495388,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/jm-44-275-2025","text":"Publisher Index Page"},{"id":495237,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-09-08","publicationStatus":"PW","contributors":{"authors":[{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":948147,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holzmann, Maria","contributorId":304262,"corporation":false,"usgs":false,"family":"Holzmann","given":"Maria","email":"","affiliations":[{"id":66013,"text":"University of Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":948148,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bouchet, Vincent M.P.","contributorId":361028,"corporation":false,"usgs":false,"family":"Bouchet","given":"Vincent","middleInitial":"M.P.","affiliations":[{"id":86164,"text":"The University of Lille, France","active":true,"usgs":false}],"preferred":false,"id":948149,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Disaró, Sibelle Trevisan","contributorId":361029,"corporation":false,"usgs":false,"family":"Disaró","given":"Sibelle","middleInitial":"Trevisan","affiliations":[{"id":86165,"text":"Universidade Federal do Paraná, Brazil","active":true,"usgs":false}],"preferred":false,"id":948150,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eichler, Patricia P.B.","contributorId":361030,"corporation":false,"usgs":false,"family":"Eichler","given":"Patricia","middleInitial":"P.B.","affiliations":[{"id":86166,"text":"Federal University of Rio Grande do Norte, Brazil","active":true,"usgs":false}],"preferred":false,"id":948151,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haig, David W.","contributorId":361031,"corporation":false,"usgs":false,"family":"Haig","given":"David","middleInitial":"W.","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":948152,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Himson, Stephen J.","contributorId":361032,"corporation":false,"usgs":false,"family":"Himson","given":"Stephen","middleInitial":"J.","affiliations":[{"id":40148,"text":"University of Leicester, UK","active":true,"usgs":false}],"preferred":false,"id":948153,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kitazato, Hiroshi","contributorId":361033,"corporation":false,"usgs":false,"family":"Kitazato","given":"Hiroshi","affiliations":[{"id":86167,"text":"Tokyo University of Marine Science and Technology, Japan","active":true,"usgs":false}],"preferred":false,"id":948154,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pavard, Jean-Charles","contributorId":304261,"corporation":false,"usgs":false,"family":"Pavard","given":"Jean-Charles","email":"","affiliations":[{"id":66012,"text":"University of Lille, France","active":true,"usgs":false}],"preferred":false,"id":948155,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Polovodova Asteman, Irina","contributorId":358443,"corporation":false,"usgs":false,"family":"Polovodova Asteman","given":"Irina","affiliations":[{"id":48984,"text":"University of Gothenburg, Sweden","active":true,"usgs":false}],"preferred":false,"id":948156,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rodrigues, Andre R.","contributorId":361034,"corporation":false,"usgs":false,"family":"Rodrigues","given":"Andre","middleInitial":"R.","affiliations":[{"id":86168,"text":"Universidade Federal de Santa Catarina, Brazil","active":true,"usgs":false}],"preferred":false,"id":948157,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tremblin, Clement M.","contributorId":361035,"corporation":false,"usgs":false,"family":"Tremblin","given":"Clement","middleInitial":"M.","affiliations":[{"id":24588,"text":"The University of Western Australia","active":true,"usgs":false}],"preferred":false,"id":948158,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Tsuchiya, Masashi","contributorId":361036,"corporation":false,"usgs":false,"family":"Tsuchiya","given":"Masashi","affiliations":[{"id":40272,"text":"Japan Agency for Marine-Earth Science and Technology","active":true,"usgs":false}],"preferred":false,"id":948159,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Williams, Mark","contributorId":214696,"corporation":false,"usgs":false,"family":"Williams","given":"Mark","affiliations":[],"preferred":false,"id":948160,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"O'Brien, Phoebe","contributorId":361037,"corporation":false,"usgs":false,"family":"O'Brien","given":"Phoebe","affiliations":[{"id":48984,"text":"University of Gothenburg, Sweden","active":true,"usgs":false}],"preferred":false,"id":948161,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Asplund, Josefin","contributorId":361038,"corporation":false,"usgs":false,"family":"Asplund","given":"Josefin","affiliations":[{"id":48984,"text":"University of Gothenburg, Sweden","active":true,"usgs":false}],"preferred":false,"id":948162,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Axelsson, Malou","contributorId":361039,"corporation":false,"usgs":false,"family":"Axelsson","given":"Malou","affiliations":[{"id":48984,"text":"University of Gothenburg, Sweden","active":true,"usgs":false}],"preferred":false,"id":948163,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Lorenson, Thomas 0000-0001-7669-2873 tlorenson@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-2873","contributorId":174599,"corporation":false,"usgs":true,"family":"Lorenson","given":"Thomas","email":"tlorenson@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":948164,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70272035,"text":"70272035 - 2025 - Placing environmental DNA monitoring for new detections into perspective: Fishes in the Milwaukee River, Wisconsin","interactions":[],"lastModifiedDate":"2025-11-13T16:22:50.550546","indexId":"70272035","displayToPublicDate":"2025-09-04T09:12:47","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":"Placing environmental DNA monitoring for new detections into perspective: Fishes in the Milwaukee River, Wisconsin","docAbstract":"Invasive species management frameworks, such as the early detection of and rapid response to invasive species, use monitoring programs to detect new species occurrences. Resource managers use environmental DNA (eDNA) as one tool for these monitoring programs. An eDNA detection in a new location may lack perspective for resource managers and researchers because of the rarity of potential invaders and the randomness in their dispersal and detection. An example monitoring program is the eDNA-based sampling approach used by the U.S. Fish and Wildlife Service for bigheaded carps Hypophthalmichthys spp. in the upper Mississippi River and Great Lakes Basins that collects hundreds of water samples per event. The U.S. Fish and Wildlife Service detected a single positive sample for Bighead Carp Hypophthalmichthys nobilis during the spring 2021 sampling event in the Kinnickinnic River within the Milwaukee River Basin, and detected a second single positive sample for bigheaded carps during the fall 2021 sampling event in the Milwaukee River. The U.S. Fish and Wildlife Service did not detect any bigheaded carps in previous years (2015 to 2020) or in either the spring or fall 2022 sampling events. These detections lacked perspective, such as detection numbers for other species. We reanalyzed the 2021 and 2022 samples for four existing species of fish: two fairly common species (Common Carp Cyprinus carpio and Gizzard Shad Dorosoma cepedianum) and two fairly rare species (Burbot Lota lota and Grass Carp Ctenopharyngodon idella). We detected Common Carp during all four sampling events, Gizzard Shad during three of four sampling events, and Burbot and Grass Carp during two of four sampling events. These results demonstrated that current sampling efforts could detect other species, and bigheaded carp eDNA was not common in the Milwaukee River compared to these species. More specifically, this finding indicates bigheaded carp eDNA detections are as rare as, or rarer than, Grass Carp eDNA detections, a recent invader to the basin. Our findings also demonstrated how reanalyzing eDNA samples after positive detections for targeted species can help managers understand the context of the detections and provide perspective for the relative abundance of the targeted species. Additionally, our results highlight the importance of completing long-term eDNA-based monitoring rather than a single sampling or inventory event. These detections may have been missed in a single year or sampling event, whereas a multiyear monitoring program provides an opportunity to observe trends through time.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.70102","usgsCitation":"Erickson, R.A., DeHaan, P.W., Frohnauer, N.K., Hayer, C., Oettinger, K., Tajjioui, T., Von Ruden, K.M., Willner, H., and Spear, S.F., 2025, Placing environmental DNA monitoring for new detections into perspective: Fishes in the Milwaukee River, Wisconsin: Journal of Wildlife Management, v. 89, e70102, 14 p., https://doi.org/10.1002/jwmg.70102.","productDescription":"e70102, 14 p.","ipdsId":"IP-169285","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496403,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Milwaukee River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.85610165027764,\n 43.71442287244696\n ],\n [\n -88.85610165027764,\n 42.70910667171606\n ],\n [\n -87.8504051385311,\n 42.70910667171606\n ],\n [\n -87.8504051385311,\n 43.71442287244696\n ],\n [\n -88.85610165027764,\n 43.71442287244696\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"89","noUsgsAuthors":false,"publicationDate":"2025-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":949790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeHaan, Patrick W.","contributorId":361996,"corporation":false,"usgs":false,"family":"DeHaan","given":"Patrick","middleInitial":"W.","affiliations":[{"id":84143,"text":"U.S. Fish and Wildlife Service, Whitney Genetics Laboratory","active":true,"usgs":false}],"preferred":false,"id":949791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frohnauer, Nicholas K.","contributorId":361997,"corporation":false,"usgs":false,"family":"Frohnauer","given":"Nicholas","middleInitial":"K.","affiliations":[{"id":84141,"text":"U.S. Fish and Wildlife Service, Midwest Regional Office","active":true,"usgs":false}],"preferred":false,"id":949792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayer, Cari-Ann chayer@usgs.gov","contributorId":177628,"corporation":false,"usgs":false,"family":"Hayer","given":"Cari-Ann","email":"chayer@usgs.gov","affiliations":[],"preferred":false,"id":949793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Oettinger, Keta L.","contributorId":352251,"corporation":false,"usgs":false,"family":"Oettinger","given":"Keta L.","affiliations":[{"id":84142,"text":"Former contractor, Upper Midwest Environmental Sciences Center","active":true,"usgs":false}],"preferred":false,"id":949794,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tajjioui, Tariq 0000-0002-0113-0451","orcid":"https://orcid.org/0000-0002-0113-0451","contributorId":215091,"corporation":false,"usgs":true,"family":"Tajjioui","given":"Tariq","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":949795,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Von Ruden, Kyle M.","contributorId":361998,"corporation":false,"usgs":false,"family":"Von Ruden","given":"Kyle","middleInitial":"M.","affiliations":[{"id":84143,"text":"U.S. Fish and Wildlife Service, Whitney Genetics Laboratory","active":true,"usgs":false}],"preferred":false,"id":949796,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Willner, Hailey M.","contributorId":352253,"corporation":false,"usgs":false,"family":"Willner","given":"Hailey M.","affiliations":[{"id":84142,"text":"Former contractor, Upper Midwest Environmental Sciences Center","active":true,"usgs":false}],"preferred":false,"id":949797,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Spear, Stephen Frank 0000-0001-8351-9382","orcid":"https://orcid.org/0000-0001-8351-9382","contributorId":293162,"corporation":false,"usgs":true,"family":"Spear","given":"Stephen","email":"","middleInitial":"Frank","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":949798,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70273218,"text":"70273218 - 2025 - A scientific vision and roadmap for earthquake rupture forecast developments, a USGS perspective","interactions":[],"lastModifiedDate":"2025-12-22T15:16:05.64178","indexId":"70273218","displayToPublicDate":"2025-09-02T08:07:40","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":"A scientific vision and roadmap for earthquake rupture forecast developments, a USGS perspective","docAbstract":"We articulate a scientific vision and roadmap for the development of improved Earthquake Rupture Forecast models, which are one of the two main modeling components used in modern seismic hazard and risk analysis. One primary future objective is to provide fully time-dependent models that include both elastic rebound and spatiotemporal clustering nationwide, which is particularly important for shorter-term hazard and risk considerations (e.g., earthquake insurance products). We also discuss the importance and perennial challenges associated with quantifying epistemic uncertainties, including those associated with deformation-model slip rates, un-quantified sampling errors with respect to off-fault seismicity, and any spatial covariances. The need for more physics-based approaches is also emphasized, as is the benefit of adding model valuation (quantifying usefulness) to our verification and validation protocols. Given the multidisciplinary and system-level nature of this activity, modular design is critical. Future updates will also draw from best-available science by both the United States Geological Survey and the external community. The primary goal of this paper is to highlight plans that guide research and facilitate community engagement with model development, especially with respect to lowering the entry barrier for early career scientists and engineers. The paper is written so readers can focus on the sections that interest them most (see table of contents), with the Introduction and Discussion providing a stand-alone overview and summary.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240217","usgsCitation":"Field, E.H., Hatem, A.E., Shaw, B.E., Page, M.T., Mai, P.M., Milner, K., Llenos, A.L., Michael, A.J., Pollitz, F., Jobe, J.A., Parsons, T.E., Zielke, O., Shelly, D.R., Gabriel, A., McPhillips, D., Briggs, R.W., Cochran, E.S., Luco, N., Petersen, M.D., Powers, P.M., Rubinstein, J., Shumway, A., van der Elst, N., Zeng, Y., DuRoss, C., and Altekruse, J.M., 2025, A scientific vision and roadmap for earthquake rupture forecast developments, a USGS perspective: Bulletin of the Seismological Society of America, v. 115, no. 6, p. 2523-2552, https://doi.org/10.1785/0120240217.","productDescription":"30 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