{"pageNumber":"22","pageRowStart":"525","pageSize":"25","recordCount":184776,"records":[{"id":70274692,"text":"70274692 - 2026 - Riverscape genetics of nonnative Brook Trout to inform native cutthroat trout conservation","interactions":[],"lastModifiedDate":"2026-04-06T14:07:36.785359","indexId":"70274692","displayToPublicDate":"2025-10-25T09:04:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Riverscape genetics of nonnative Brook Trout to inform native cutthroat trout conservation","docAbstract":"<div class=\" sec\"><div class=\"title\">Objective</div><p class=\"chapter-para\">Understanding how riverscape features influence gene flow is critical for managing population connectivity in freshwater species. We examined how landscape and stream characteristics shape the spatial genetic structure of nonnative Brook Trout<span>&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;</span>in a headwater stream network proposed for reintroduction of federally threatened Greenback Cutthroat Trout<span>&nbsp;</span><i>Oncorhynchus virginalis stomias</i>. Brook Trout were studied to evaluate the suitability of this habitat for supporting a native trout metapopulation.</p></div><div class=\" sec\"><div class=\"title\">Methods</div><p class=\"chapter-para\">We genotyped 757 Brook Trout from 22 sites across a 60-km stream network using 12 microsatellite loci. Spatial genetic structure was assessed using clustering analysis (program STRUCTURE) and pairwise differentiation metrics (<i>F</i><sub>ST</sub><span>&nbsp;</span>and Jost’s<span>&nbsp;</span><i>D</i>). A spatial network modeling approach was used to quantify the effects of riverscape features (e.g., stream gradient, stream order, waterfalls, and flow direction) on trout gene flow.</p></div><div class=\" sec\"><div class=\"title\">Results</div><p class=\"chapter-para\">Genetic clustering identified four distinct tributary groups, while estimates of pairwise genetic differentiation indicated some genetic connectivity across the network (mean<span>&nbsp;</span><i>F</i><sub>ST</sub><span>&nbsp;</span>= 0.04; mean Jost’s<span>&nbsp;</span><i>D</i><span>&nbsp;</span>= 0.06). Trout gene flow was impeded by waterfalls, steep stream gradients, and increased hydrologic distance. Higher stream order and downstream flow direction were associated with stronger gene flow, and stream segments containing waterfalls and steeper gradients showed greater asymmetries between upstream and downstream gene flow.</p></div><div class=\" sec\"><div class=\"title\">Conclusions</div><p class=\"chapter-para\">Brook Trout populations in this stream network are spatially structured, but gene flow persists and is mediated by physical riverscape features and hydrologic distance. The observed patterns of genetic connectivity suggest that this habitat can support connectivity among populations of reintroduced Greenback Cutthroat Trout. In future native trout reintroduction efforts, prioritizing habitats with gradual stream gradients and fewer waterfalls would promote population connectivity.</p></div>","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnaf045","usgsCitation":"Stack, T., Harris, A.C., Fairchild, M.P., Oyler-McCance, S.J., Fike, J., Winkelman, D.L., and Kanno, Y., 2026, Riverscape genetics of nonnative Brook Trout to inform native cutthroat trout conservation: Transactions of the American Fisheries Society, v. 155, no. 1, p. 26-40, https://doi.org/10.1093/tafafs/vnaf045.","productDescription":"15 p.","startPage":"26","endPage":"40","ipdsId":"IP-176667","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":502468,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/tafafs/vnaf045","text":"Publisher Index Page"},{"id":502199,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"155","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Stack, Taylor","contributorId":340291,"corporation":false,"usgs":false,"family":"Stack","given":"Taylor","email":"","affiliations":[{"id":81548,"text":"Department of Fish, Wildlife, and Conservation Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":958707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Harris, Audrey C.","contributorId":369264,"corporation":false,"usgs":false,"family":"Harris","given":"Audrey","middleInitial":"C.","affiliations":[{"id":20304,"text":"Pacific States Marine Fisheries Commission","active":true,"usgs":false}],"preferred":false,"id":958708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fairchild, Matthew P.","contributorId":369265,"corporation":false,"usgs":false,"family":"Fairchild","given":"Matthew","middleInitial":"P.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":958709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":958710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":958711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":958712,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kanno, Yoichiro","contributorId":210653,"corporation":false,"usgs":false,"family":"Kanno","given":"Yoichiro","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":958713,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70272591,"text":"70272591 - 2026 - Year-round daytime pCO2 undersaturation in an instream series of urban reservoirs with a history of harmful algal blooms","interactions":[],"lastModifiedDate":"2026-02-09T16:08:11.743228","indexId":"70272591","displayToPublicDate":"2025-10-23T08:11:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1999,"text":"Inland Waters","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Year-round daytime <i>p</i>CO<sub>2</sub> undersaturation in an instream series of urban reservoirs with a history of harmful algal blooms","title":"Year-round daytime pCO2 undersaturation in an instream series of urban reservoirs with a history of harmful algal blooms","docAbstract":"<p><span>Daytime water quality was determined monthly over two years in an instream series of four urban reservoirs with recurring blooms of&nbsp;</span><i>Prymnesium parvum</i><span>—a cool-season toxigenic species. Temperature, pH, and laboratory-measured total alkalinity were used to estimate&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>. System-wide,&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;was negatively associated with dissolved oxygen. Chlorophyll-</span><i>a</i><span>, phycocyanin (cyanobacterial pigment), and&nbsp;</span><i>P. parvum</i><span>&nbsp;were negatively associated with&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;and positively with dissolved oxygen. Three reservoirs were productive and, during daytime,&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>-undersaturated year-round or near-year-round, while a fourth (third in the series) was unproductive and mostly&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>-oversaturated. Seasonal phycocyanin and chlorophyll-</span><i>a</i><span>&nbsp;patterns indicated that cyanobacterial and eukaryotic (</span><i>P. parvum</i><span>&nbsp;included) phytoplankton growth drives daytime CO</span><sub>2</sub><span>&nbsp;depletion in the productive reservoirs during the warm and cool seasons, respectively. The system’s moderate alkalinity (HCO</span><sub>3</sub><sup>−</sup><span>) may serve as an alternative carbon source for photosynthesis; however, the persistent depletion of CO</span><sub>2</sub><span>&nbsp;and the energetic cost of using HCO</span><sub>3</sub><sup>−</sup><span>&nbsp;are consistent with a scenario where phytoplankton growth is CO</span><sub>2</sub><span>-limited. Daytime&nbsp;</span><i>p</i><span>CO</span><sub>2</sub><span>&nbsp;undersaturation across seasons has been rarely reported, but this study indicated it occurs more often than recognized. The non-monotonic spatial patterns in productivity and carbonate system conditions across the study reservoirs indicate that localized influences from a heterogeneous urban landscape may help shape individual lake metabolism.</span></p>","language":"English","publisher":"Taylor & Francis","doi":"10.1080/20442041.2025.2544581","usgsCitation":"Patino, R., and Lehker, S., 2026, Year-round daytime pCO2 undersaturation in an instream series of urban reservoirs with a history of harmful algal blooms: Inland Waters, v. 16, no. 1, 2544581, 15 p., https://doi.org/10.1080/20442041.2025.2544581.","productDescription":"2544581, 15 p.","ipdsId":"IP-171218","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502565,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":496823,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","county":"Lubbock","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -101.93988097783505,\n              33.64162038185367\n            ],\n            [\n              -101.93988097783505,\n              33.52159454590185\n            ],\n            [\n              -101.77150820869511,\n              33.52159454590185\n            ],\n            [\n              -101.77150820869511,\n              33.64162038185367\n            ],\n            [\n              -101.93988097783505,\n              33.64162038185367\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"16","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950878,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lehker, Samantha","contributorId":362957,"corporation":false,"usgs":false,"family":"Lehker","given":"Samantha","affiliations":[{"id":36331,"text":"Texas Tech University","active":true,"usgs":false}],"preferred":false,"id":950879,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70272053,"text":"70272053 - 2026 - Sedimentological and geochemical characterization of lacustrine deposits of the Babouri-Figuil basin, northern Cameroon: Implications for source rocks distribution and petroleum exploration","interactions":[],"lastModifiedDate":"2025-11-14T16:30:36.885339","indexId":"70272053","displayToPublicDate":"2025-10-21T08:35:22","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2147,"text":"Journal of African Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Sedimentological and geochemical characterization of lacustrine deposits of the Babouri-Figuil basin, northern Cameroon: Implications for source rocks distribution and petroleum exploration","docAbstract":"<p><span>The West and Central African Rift System (WCARS) refers to the series of Cretaceous rift basins where commercial hydrocarbon accumulations have been discovered. Some of the WCARS frontier basins are currently being investigated to increase our understanding of these basins in light of new commercial discoveries. The present study was performed in the Babouri-Figuil Basin (BFB), which is genetically related to the WCARS and constitutes an area of interest in terms of petroleum prospecting, where the distribution of petroleum source rocks and potential targets for petroleum exploration across the entire basin is poorly understood. For the current study, an integrated facies analysis along with organic and inorganic geochemical techniques were applied to the basin's Cretaceous deposits with the aim of reconstructing the paleodepositional environment, assessing factors that triggered the input of organic matter, and providing a spatial overview of the organic matter accumulation in the basin based on outcrop samples. An alluvial fan-lacustrine-braided river system is inferred from the facies analysis of the stratigraphic sequence consisting of conglomerate, sandstone, siltstone, limestone, marlstone, and claystone. Bulk analysis of organic matter reveals that black shale and massive claystone are the main prospective petroleum source rocks in the basin. Inorganic geochemical analyses reveal the influence of anoxic conditions, moderate to high primary productivity, and low terrigenous inputs in organic matter enrichment. The formations rich in organic matter are predominantly concentrated in the western and eastern parts of the basin which may represent areas with depressions, characterized by high accommodation space. In terms of the regional context of the WCARS rift basins, typical hydrocarbon exploration in the BFB may target basal-conglomerate, sandstone beds situated directly above or/and interbedded with the Lower Cretaceous source rocks, and the Upper Cretaceous sandstone beds. Basement rocks (granite, granodiorite, and gneisses) and oil shale deposits may represent potential unconventional hydrocarbon exploration. The current integrated study provides an insight that should guide future hydrocarbon exploration campaigns in the basin.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jafrearsci.2025.105894","usgsCitation":"Manga, W.G., Hackley, P.C., Bessong, M., Hatcherian, J.J., Ashukem, E.K., Guedala, A., Meying, A., and Samankassou, E., 2026, Sedimentological and geochemical characterization of lacustrine deposits of the Babouri-Figuil basin, northern Cameroon: Implications for source rocks distribution and petroleum exploration: Journal of African Earth Sciences, v. 233, 105894, 16 p., https://doi.org/10.1016/j.jafrearsci.2025.105894.","productDescription":"105894, 16 p.","ipdsId":"IP-171940","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":502413,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://archive-ouverte.unige.ch/unige:188567","text":"External Repository"},{"id":496494,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Cameroon","otherGeospatial":"Babouri-Figuil basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              13.667,\n              9.85\n            ],\n            [\n              13.667,\n              9.6333\n            ],\n            [\n              14.0333,\n              9.6333\n            ],\n            [\n              14.0333,\n              9.85\n            ],\n            [\n              13.667,\n              9.85\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"233","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Manga, William Gaspard O.","contributorId":352997,"corporation":false,"usgs":false,"family":"Manga","given":"William","middleInitial":"Gaspard O.","affiliations":[{"id":84323,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon; School of Geology and Mining Engineering, Ngaoundere University P.O. Box 115 Meiganga, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":949924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bessong, Moïse","contributorId":352998,"corporation":false,"usgs":false,"family":"Bessong","given":"Moïse","affiliations":[{"id":84324,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon; Department of Earth Sciences, University of Geneva, 13, Rue des Maraîchers, 1205 Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":949925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":949926,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ashukem, Ethel K.","contributorId":362067,"corporation":false,"usgs":false,"family":"Ashukem","given":"Ethel","middleInitial":"K.","affiliations":[{"id":84325,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guedala, Alifa","contributorId":353000,"corporation":false,"usgs":false,"family":"Guedala","given":"Alifa","affiliations":[{"id":84325,"text":"Institute of Geological and Mining Research, P.O. Box. 4110 Yaoundé, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949928,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meying, Arsène","contributorId":353001,"corporation":false,"usgs":false,"family":"Meying","given":"Arsène","affiliations":[{"id":84328,"text":"School of Geology and Mining Engineering, Ngaoundere University P.O. Box 115 Meiganga, Cameroon","active":true,"usgs":false}],"preferred":false,"id":949929,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Samankassou, Elias","contributorId":353002,"corporation":false,"usgs":false,"family":"Samankassou","given":"Elias","affiliations":[{"id":84329,"text":"Department of Earth Sciences, University of Geneva, 13, Rue des Maraîchers, 1205 Geneva, Switzerland","active":true,"usgs":false}],"preferred":false,"id":949930,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70274003,"text":"70274003 - 2026 - Seasonal body mass dynamics mediate life-history trade-offs in a hibernating mammal","interactions":[],"lastModifiedDate":"2026-03-09T14:52:02.089844","indexId":"70274003","displayToPublicDate":"2025-10-18T08:46:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal body mass dynamics mediate life-history trade-offs in a hibernating mammal","docAbstract":"<p>1. Energetic acquisition and growth are key traits that affect demography and life-history strategies. Many animals that live in seasonal environments in which food availability fluctuates store energy endogenously as fat in anticipation of food shortage. Fat-storing mammalian hibernators are an extreme example of this strategy where the optimal resolution of resource allocation trade-offs is essential to survival. Hence, these species provide an opportunity to test potential causes and consequences of seasonal body mass dynamics. </p><p>2. We used a 12-year dataset with 8753 body mass records from 3351 individually marked northern Idaho ground squirrels (<i>Urocitellus brunneus</i>) – a federally threatened hibernator – to meet three objectives: (1) document seasonal body mass changes by sex, age, and reproductive status, (2) test ecological hypotheses to explain spatiotemporal variation in body mass, and (3) document fitness consequences of pre-hibernation body condition via condition-dependent overwinter survival. </p><p>3. Squirrels varied substantially in seasonal body mass dynamics. The magnitude (36-155%) and onset (late May to early July) of rapid active-season mass gain varied among demographic groups. Reproductive females acquired the necessary fat stores to survive hibernation later in the active season than did males and non-reproductive females. Moreover, squirrels with better pre-hibernation body condition were more likely to survive to the subsequent year, potentially because they allocated excess energetic reserves to prolonging hibernation via early immergence and thereby reduced predation risk. These results suggest a direct trade-off between current and future reproduction mediated by resource acquisition and allocation, as predicted by life-history theory. </p><p>4. Colder active-season temperatures and lower conspecific densities negatively influenced squirrel body condition, possibly via reductions in foraging activity associated with those conditions. These ecological effects on body condition constrain resource allocation and demographic outcomes. As such, our results can help guide research and conservation strategies to benefit hibernating animals.</p>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.70160","usgsCitation":"Allison, A.Z., Conway, C.J., Goldberg, A.R., Morris, A.E., and Hakanson, E.C., 2026, Seasonal body mass dynamics mediate life-history trade-offs in a hibernating mammal: Journal of Animal Ecology, v. 95, no. 3, p. 383-396, https://doi.org/10.1111/1365-2656.70160.","productDescription":"14 p.","startPage":"383","endPage":"396","ipdsId":"IP-178391","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500344,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":500576,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2656.70160","text":"Publisher Index Page"}],"country":"United States","state":"Idaho","otherGeospatial":"northern Idaho","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.01727912063691,\n              48.949849031406984\n            ],\n            [\n              -117.06550577544263,\n              45.77432685387063\n            ],\n            [\n              -115.45669769129175,\n              45.603498147742044\n            ],\n            [\n              -114.14771203572005,\n              46.038667434519695\n            ],\n            [\n              -114.10553430532104,\n              46.61453544078449\n            ],\n            [\n              -115.60028001696853,\n              47.5696411418145\n            ],\n            [\n              -115.99924647829263,\n              47.875315792205775\n            ],\n            [\n              -116.04207182244672,\n              49.00063541966966\n            ],\n            [\n              -117.01727912063691,\n              48.949849031406984\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"95","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Allison, Austin Z.T.","contributorId":366617,"corporation":false,"usgs":false,"family":"Allison","given":"Austin","middleInitial":"Z.T.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956098,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conway, Courtney J. 0000-0003-0492-2953 cconway@usgs.gov","orcid":"https://orcid.org/0000-0003-0492-2953","contributorId":2951,"corporation":false,"usgs":true,"family":"Conway","given":"Courtney","email":"cconway@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956099,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goldberg, Amanda R.","contributorId":366618,"corporation":false,"usgs":false,"family":"Goldberg","given":"Amanda","middleInitial":"R.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956100,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Morris, Alice E.","contributorId":366619,"corporation":false,"usgs":false,"family":"Morris","given":"Alice","middleInitial":"E.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956101,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hakanson, Emma C.","contributorId":366620,"corporation":false,"usgs":false,"family":"Hakanson","given":"Emma","middleInitial":"C.","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":956102,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272452,"text":"70272452 - 2026 - Challenges and opportunities in mitigating sarcoptic mange in wild South American camelids","interactions":[],"lastModifiedDate":"2026-01-06T14:13:50.401745","indexId":"70272452","displayToPublicDate":"2025-10-17T08:44:25","publicationYear":"2026","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":"Challenges and opportunities in mitigating sarcoptic mange in wild South American camelids","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Vicuñas (</span><i>Vicugna vicugna</i><span>) and guanacos (</span><i>Lama guanicoe</i><span>) are the two species of wild South American camelids whose distributions range from Peru to northern Argentina and southern Peru to southern Argentina, respectively. Listed as critically endangered in the 1960s due to poaching, vicuña numbers had been gradually recovering; however, new concerns about population stability have arisen with recent observations of sarcoptic mange outbreaks in this species. Sarcoptic mange is an infectious skin disease caused by the microscopic burrowing mite,&nbsp;</span><i>Sarcoptes scabiei</i><span>, which infects nearly 150 mammalian species globally, including guanaco and vicuña. Wild camelid populations across Argentina, Bolivia, Chile, and Peru have been affected by sarcoptic mange, with the most severe outbreaks resulting in localized extirpation. Population declines have conservation and economic implications, as many local communities harvest vicuña and guanaco fiber for profit. We review the current literature on sarcoptic mange in wild camelids from Argentina, Bolivia, Chile, and Peru to establish a current state of knowledge on spatial prevalence, management, and therapeutics, and identify existing knowledge gaps. Critical next steps include 1) implementation of effective management strategies that limit the transmission of sarcoptic mange, 2) standardization of data collected during community capture (i.e., chaccu) events, 3) assessing the potential role of community captures in mite transmission, and 4) evaluation of treatment options and best practices for implementation. Further, there is a need for capacity building to improve disease diagnostics and surveillance in wild camelids. A multisectoral collaboration between governmental authorities, communities, academic institutions, and national and international organizations focusing on wild South American camelid conservation could contribute to building actions aimed at preventing future outbreaks and mitigating the current burden of sarcoptic mange disease.</span></span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70125","usgsCitation":"Martin, A., Isasi-Catalá, E., Salgado-Caxito, M., Gallegos, A., Hostos-Olivera, L., Colchao-Claux, P., Smith, S.J., Beltran-Saavedra, F., Dougnac, C., Germana, C., Montoya, M., Carver, S., Cross, P., and Walzer, C., 2026, Challenges and opportunities in mitigating sarcoptic mange in wild South American camelids: Journal of Wildlife Management, v. 90, no. 1, e70125, 28 p., https://doi.org/10.1002/jwmg.70125.","productDescription":"e70125, 28 p.","ipdsId":"IP-148575","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":496919,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70125","text":"Publisher Index Page"},{"id":496777,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"South America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -79.89276068519384,\n              12.078777453989517\n            ],\n            [\n              -84.05130991626078,\n              -4.35532823276467\n            ],\n            [\n              -71.8782875515644,\n              -22.597367895324183\n            ],\n            [\n              -79.89276068519384,\n              -59.227926354657086\n            ],\n            [\n              -62.27262009516423,\n              -57.69795166992744\n            ],\n            [\n              -51.715750788124296,\n              -41.004192610953936\n            ],\n            [\n              -43.76235407564337,\n              -30.052154681431\n            ],\n            [\n              -32.550914183343686,\n              -4.694942975251131\n            ],\n            [\n              -59.46447023130274,\n              13.442139926888743\n            ],\n            [\n              -79.89276068519384,\n              12.078777453989517\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"90","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, Alynn","contributorId":267906,"corporation":false,"usgs":false,"family":"Martin","given":"Alynn","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":950772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Isasi-Catalá, Emiliana","contributorId":362887,"corporation":false,"usgs":false,"family":"Isasi-Catalá","given":"Emiliana","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":950773,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Salgado-Caxito, Marilia","contributorId":362888,"corporation":false,"usgs":false,"family":"Salgado-Caxito","given":"Marilia","affiliations":[{"id":37959,"text":"Pontificia Universidad Católica de Chile","active":true,"usgs":false}],"preferred":false,"id":950774,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallegos, Ana","contributorId":362889,"corporation":false,"usgs":false,"family":"Gallegos","given":"Ana","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":950775,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hostos-Olivera, Leonardo","contributorId":362891,"corporation":false,"usgs":false,"family":"Hostos-Olivera","given":"Leonardo","affiliations":[{"id":86553,"text":"University of Veterinary Medicine Vienna","active":true,"usgs":false}],"preferred":false,"id":950776,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Colchao-Claux, Paulo","contributorId":362894,"corporation":false,"usgs":false,"family":"Colchao-Claux","given":"Paulo","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":950777,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smith, Steven J.","contributorId":361158,"corporation":false,"usgs":false,"family":"Smith","given":"Steven","middleInitial":"J.","affiliations":[{"id":86223,"text":"Joint Global Change Research Institute, Pacific Northwest National Lab, College Park, MD, USA; Department of Atmospheric and Oceanic Science, University of Maryland, College Park, MD, USA","active":true,"usgs":false}],"preferred":false,"id":950778,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Beltran-Saavedra, Fabian","contributorId":362898,"corporation":false,"usgs":false,"family":"Beltran-Saavedra","given":"Fabian","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":950779,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dougnac, Catherine","contributorId":362899,"corporation":false,"usgs":false,"family":"Dougnac","given":"Catherine","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":950780,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Germana, Camila","contributorId":362900,"corporation":false,"usgs":false,"family":"Germana","given":"Camila","affiliations":[{"id":13272,"text":"Wildlife Conservation Society","active":true,"usgs":false}],"preferred":false,"id":950781,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Montoya, Mariana","contributorId":269699,"corporation":false,"usgs":false,"family":"Montoya","given":"Mariana","email":"","affiliations":[],"preferred":false,"id":950782,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Carver, Scott 0000-0002-3579-7588","orcid":"https://orcid.org/0000-0002-3579-7588","contributorId":197456,"corporation":false,"usgs":false,"family":"Carver","given":"Scott","email":"","affiliations":[],"preferred":false,"id":950783,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":204814,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950784,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Walzer, Chris","contributorId":335455,"corporation":false,"usgs":false,"family":"Walzer","given":"Chris","email":"","affiliations":[{"id":80411,"text":"Wildlife Conservation Society, Bronx, New York","active":true,"usgs":false}],"preferred":false,"id":950785,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70272128,"text":"70272128 - 2026 - Advancing climate adaptation for inland fish and fisheries","interactions":[],"lastModifiedDate":"2026-02-09T16:04:00.75693","indexId":"70272128","displayToPublicDate":"2025-10-17T08:26:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1657,"text":"Fisheries","onlineIssn":"1548-8446","printIssn":"0363-2415","active":true,"publicationSubtype":{"id":10}},"title":"Advancing climate adaptation for inland fish and fisheries","docAbstract":"Climate change was barely a blip on the radar for inland fisheries management 20 years ago. Today, it's a central focus. A 2016 paper helped shift conversations, sparked adaptation efforts across fisheries management. The future is still uncertain, but adaptation is key to sustaining these important resources.","language":"English","publisher":"Oxford Academic","doi":"10.1093/fshmag/vuaf095","usgsCitation":"Lynch, A.J., Beard, T., and Paukert, C.P., 2026, Advancing climate adaptation for inland fish and fisheries: Fisheries, v. 51, no. 1, p. 14-17, https://doi.org/10.1093/fshmag/vuaf095.","productDescription":"4 p.","startPage":"14","endPage":"17","ipdsId":"IP-181431","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":496722,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/fshmag/vuaf095","text":"Publisher Index Page"},{"id":496545,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Douglas Jr. 0000-0003-2632-2350","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":245522,"corporation":false,"usgs":true,"family":"Beard","given":"T. Douglas","suffix":"Jr.","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":950157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":950158,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272100,"text":"70272100 - 2026 - Guidelines for producing integrated 210Pb and 14C age-models","interactions":[],"lastModifiedDate":"2025-12-01T16:51:35.947878","indexId":"70272100","displayToPublicDate":"2025-10-17T08:05:40","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Guidelines for producing integrated <sup>210</sup>Pb and <sup>14</sup>C age-models","title":"Guidelines for producing integrated 210Pb and 14C age-models","docAbstract":"<p><span>Accurate reconstructions of past environmental changes are crucial in paleoecological research and require reliable chronologies of sedimentary archives. Establishing robust age-models and obtaining the most appropriate proxies for analysis is a complex scientific endeavor, requiring extensive resources and collaboration among specialists, including radiochronologists. Radiometric dating methods, such as&nbsp;</span><sup>210</sup><span>Pb and radiocarbon (</span><sup>14</sup><span>C), are frequently employed to establish chronologies in aquatic sedimentary deposits and peat bogs. In this study, we review key aspects of sampling, analysis, and the principles underlying&nbsp;</span><sup>210</sup><span>Pb and&nbsp;</span><sup>14</sup><span>C age-models, focusing on methods for developing robust joint chronologies for paleoenvironmental research. Drawing largely from the authors' experiences and group discussions during and after a scientific workshop in 2022, we discuss important considerations for site selection, sampling strategies, and radiometric dating to construct integrated&nbsp;</span><sup>210</sup><span>Pb and&nbsp;</span><sup>14</sup><span>C age-models. Using expert consensus, this group – called Paleostats – aims to provide a set of best practices for other geochronologists with this methods paper. Among our conclusions, we emphasize the importance of accounting for site-specific factors such as prior information on sedimentation rates to establish appropriate sampling and analytical strategies. The use of appropriate coring devices can minimize disturbance to sediments and ensure the core surface remains intact and preserved until sectioning. Where excess&nbsp;</span><sup>210</sup><span>Pb is expected, sectioning at intervals of ≤1 cm provides an adequate sampling resolution for&nbsp;</span><sup>210</sup><span>Pb dating. Exceptions are possible, allowing for ~2–3 cm sections in areas with confirmed high sedimentation rates (e.g., &gt; 1 cm yr</span><sup>−1</sup><span>). Recovering deeper core sections for&nbsp;</span><sup>14</sup><span>C dating with sufficient overlap allows for accounting errors in depth estimates made in the field. Special attention is advised during time intervals where validation proxies, such as the human-made radionuclides&nbsp;</span><sup>137</sup><span>Cs or post-bomb&nbsp;</span><sup>14</sup><span>C, are expected, and to determine the depth of secular equilibrium between&nbsp;</span><sup>210</sup><span>Pb and&nbsp;</span><sup>226</sup><span>Ra. Radiocarbon analyses are commonly performed by accelerator mass spectrometry, and age models are constructed mainly using Bayesian statistics with Markov Chain Monte Carlo techniques (e.g.,&nbsp;</span><i>Bacon</i><span>). A Bayesian approach (</span><i>Plum</i><span>) is now available for producing&nbsp;</span><sup>210</sup><span>Pb age-models, which infers the&nbsp;</span><sup>210</sup><span>Pb</span><sub>ex</sub><span>&nbsp;flux, eliminates the need for selecting an equilibrium depth, and allows dating cores with incomplete&nbsp;</span><sup>210</sup><span>Pb</span><sub>ex</sub><span>&nbsp;inventory.&nbsp;</span><i>Plum</i><span>&nbsp;offers improved chronologies by integrating raw&nbsp;</span><sup>210</sup><span>Pb and&nbsp;</span><sup>14</sup><span>C data, and these age-models can be enriched with other dating methodologies, such as identifying tephras and other well-recorded historical events. Harmonized reporting would contribute to making radiometric age-models reproducible, which would benefit from an international effort. Using&nbsp;</span><sup>210</sup><span>Pb and&nbsp;</span><sup>14</sup><span>C to produce integrated age-models may yield better insights into the interplay between natural and recent anthropogenic forcings on ecosystems. This can enhance our understanding of environmental processes and their impacts on climate change, ultimately supporting science-based assessments and decisions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2025.105301","usgsCitation":"Sanchez-Cabeza, J., Aquino-López, M.A., Blaauw, M., Ruiz-Fernández, A.C., Jupin, J., Anderson, L., Knight, C.A., Champagne, M.R., Sanderson, N.K., Goring, S., and Christen, J.A., 2026, Guidelines for producing integrated 210Pb and 14C age-models: Earth-Science Reviews, v. 272, 105301, 17 p., https://doi.org/10.1016/j.earscirev.2025.105301.","productDescription":"105301, 17 p.","ipdsId":"IP-170497","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":500562,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.earscirev.2025.105301","text":"Publisher Index Page"},{"id":496477,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"272","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sanchez-Cabeza, Joan-Albert","contributorId":346065,"corporation":false,"usgs":false,"family":"Sanchez-Cabeza","given":"Joan-Albert","email":"","affiliations":[{"id":82761,"text":"CIMAT","active":true,"usgs":false}],"preferred":false,"id":950055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aquino-López, Marco A. 0000-0002-5076-7205","orcid":"https://orcid.org/0000-0002-5076-7205","contributorId":362121,"corporation":false,"usgs":false,"family":"Aquino-López","given":"Marco","middleInitial":"A.","affiliations":[{"id":86469,"text":"Department of Geography, University of Cambridge","active":true,"usgs":false}],"preferred":false,"id":950056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blaauw, Maarten","contributorId":303144,"corporation":false,"usgs":false,"family":"Blaauw","given":"Maarten","affiliations":[{"id":65675,"text":"Geography, College of Life and Environmental Sciences, University of Exeter, Exeter, UK","active":true,"usgs":false}],"preferred":false,"id":950057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruiz-Fernández, Ana Carolina 0000-0002-2515-1249","orcid":"https://orcid.org/0000-0002-2515-1249","contributorId":362122,"corporation":false,"usgs":false,"family":"Ruiz-Fernández","given":"Ana","middleInitial":"Carolina","affiliations":[{"id":86470,"text":"1 Unidad Académica Mazatlán, Instituto de Ciencias del Mar y Limnología, Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":950058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jupin, Johanna 0000-0002-3695-9366","orcid":"https://orcid.org/0000-0002-3695-9366","contributorId":362123,"corporation":false,"usgs":false,"family":"Jupin","given":"Johanna","affiliations":[{"id":86472,"text":"Universidad Nacional Autónoma de México, IRD, CNRS, SU, MNHN, IPSL, LOCEAN, Laboratoire d’Océanographie et du Climat: Expérimentation et Approches Numériques, Centre IRD France Nord","active":true,"usgs":false}],"preferred":false,"id":950059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anderson, Lysanna 0000-0001-5650-9744 landerson@usgs.gov","orcid":"https://orcid.org/0000-0001-5650-9744","contributorId":5339,"corporation":false,"usgs":true,"family":"Anderson","given":"Lysanna","email":"landerson@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950060,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Knight, Clarke Alexandra 0000-0003-0002-6959","orcid":"https://orcid.org/0000-0003-0002-6959","contributorId":288487,"corporation":false,"usgs":true,"family":"Knight","given":"Clarke","email":"","middleInitial":"Alexandra","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950061,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Champagne, Marie Rhondelle 0000-0001-8236-3910","orcid":"https://orcid.org/0000-0001-8236-3910","contributorId":248214,"corporation":false,"usgs":true,"family":"Champagne","given":"Marie","email":"","middleInitial":"Rhondelle","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950062,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sanderson, Nicole K.","contributorId":220279,"corporation":false,"usgs":false,"family":"Sanderson","given":"Nicole","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":950063,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Goring, Simon","contributorId":167180,"corporation":false,"usgs":false,"family":"Goring","given":"Simon","affiliations":[],"preferred":false,"id":950064,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Christen, J. Andrés 0000-0002-5795-4345","orcid":"https://orcid.org/0000-0002-5795-4345","contributorId":362124,"corporation":false,"usgs":false,"family":"Christen","given":"J.","middleInitial":"Andrés","affiliations":[{"id":86474,"text":"Centro de Investigación en Matemáticas, Jalisco S/N","active":true,"usgs":false}],"preferred":false,"id":950065,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70272624,"text":"70272624 - 2026 - Subduction zone earthquake catalog separation tool: Implementation in the USGS 2025 Puerto Rico and U.S. Virgin Islands National Seismic Hazard Model","interactions":[],"lastModifiedDate":"2026-02-24T16:16:52.417973","indexId":"70272624","displayToPublicDate":"2025-10-15T09:02:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Subduction zone earthquake catalog separation tool: Implementation in the USGS 2025 Puerto Rico and U.S. Virgin Islands National Seismic Hazard Model","docAbstract":"<div id=\"153063373-content\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>The U.S. Geological Survey (USGS) periodically releases updates to National Seismic Hazard Model (NSHM) for the United States and its territories leveraging current scientific knowledge and methodologies to guide public policy, building codes, and risk assessments regarding potential ground shaking due to earthquakes that may result in infrastructure damage. In subduction zones, there is a need to separate the earthquake catalog into tectonic regimes to create specific seismicity models for which the most appropriate ground‐motion models are then applied. Here, we describe newly developed methods and software, called CatSep, that classifies subduction zone events into three primary tectonic regimes: crustal, interface, and intraslab. This method incorporates information about the location of the earthquake relative to the subducting slab, the depth of the Mohorovičić discontinuity, and the earthquake’s moment tensor. Applying this method is a first step in the NSHM workflow for regions covering U.S. subduction zones. Results using this subduction zone earthquake catalog separation tool for the 2025 Puerto Rico and U.S. Virgin Islands NSHM earthquake catalog are presented and analyzed.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250078","usgsCitation":"Haynie, K.L., Thompson, E.M., Hearne, M., Hayes, G., Shelly, D.R., Shumway, A., Llenos, A.L., Michael, A.J., and Powers, P.M., 2025, Subduction zone earthquake catalog separation tool: Implementation in the USGS 2025 Puerto Rico and U.S. Virgin Islands National Seismic Hazard Model: Seismological Research Letters, https://doi.org/10.1785/0220250078.","productDescription":"10 p.","startPage":"1191","endPage":"1200","ipdsId":"IP-176591","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":496902,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496938,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250078","text":"Publisher Index Page"}],"country":"United States","otherGeospatial":"Puerto Rico, U.S. Virgin Islands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -64.54540269325636,\n              17.747116990136433\n            ],\n            [\n              -64.6499913339632,\n              18.348094173225988\n            ],\n            [\n              -64.85462128317253,\n              18.421453174689816\n            ],\n            [\n              -67.97409117555974,\n              18.615487541076746\n            ],\n            [\n              -68.00592250099288,\n              17.851029080316096\n            ],\n            [\n              -65.6958777410323,\n              17.902962398417586\n            ],\n            [\n              -64.80914796112633,\n              17.543447949586422\n            ],\n            [\n              -64.54540269325636,\n              17.747116990136433\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"97","issue":"2A","noUsgsAuthors":false,"publicationDate":"2025-10-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Haynie, Kirstie Lafon 0000-0001-9930-6736","orcid":"https://orcid.org/0000-0001-9930-6736","contributorId":289894,"corporation":false,"usgs":true,"family":"Haynie","given":"Kirstie","email":"","middleInitial":"Lafon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hearne, Mike 0000-0002-8225-2396 mhearne@usgs.gov","orcid":"https://orcid.org/0000-0002-8225-2396","contributorId":4659,"corporation":false,"usgs":true,"family":"Hearne","given":"Mike","email":"mhearne@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hayes, Gavin P. 0000-0003-3323-0112","orcid":"https://orcid.org/0000-0003-3323-0112","contributorId":6157,"corporation":false,"usgs":true,"family":"Hayes","given":"Gavin P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":951011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shumway, Allison 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951012,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951013,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":951014,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Powers, Peter M. 0000-0003-2124-6184 pmpowers@usgs.gov","orcid":"https://orcid.org/0000-0003-2124-6184","contributorId":176814,"corporation":false,"usgs":true,"family":"Powers","given":"Peter","email":"pmpowers@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951015,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70272299,"text":"70272299 - 2026 - Exploring the exploitation of migratory moths by radio-marked grizzly bears in Wyoming","interactions":[],"lastModifiedDate":"2026-01-05T16:53:12.023227","indexId":"70272299","displayToPublicDate":"2025-10-14T09:17:37","publicationYear":"2026","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":"Exploring the exploitation of migratory moths by radio-marked grizzly bears in Wyoming","docAbstract":"<p><span>Grizzly bear (</span><i>Ursus arctos</i><span>) feeding on migratory army cutworm moths (</span><i>Euxoa auxiliaris</i><span>) was first documented by the Interagency Grizzly Bear Study Team (IGBST) during the early 1980s in the southeastern portion of the Greater Yellowstone Ecosystem (GYE). Since those initial observations, use of this seasonally available food resource by grizzly bears has grown substantially. As of 2023, we have documented 4,754 observations of grizzly bears feeding or digging at high-elevation talus slopes. We used those records to identify 36 unique moth sites in the GYE, assessed geographic characteristics of these sites, and documented chronology and frequency of use by grizzly bears. We used occurrences of radio-collared grizzly bears to identify a sample of bears that foraged at moth sites and investigated characteristics of fidelity, duration, diel activity, and movement patterns. Grizzly bears exhibited high fidelity to specific moth sites within and across years. Bears showed approximately 50% reductions in movement metrics while using sites, albeit with increased activity patterns. Estimates of feeding metrics by females exceeded those of males in intensity and duration of both use and daily activity. Given increasing human impacts and interest in observing this feeding interaction, quantifying metrics that describe the spatial and temporal patterns of moth site use by grizzly bears could be beneficial for future management. Further analyses are needed to fully examine the relationship between caloric influences of moth use on grizzly bear demographic rates.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70128","usgsCitation":"Clapp, J., Haroldson, M., Dellinger, J.A., Bjornlie, D., Thomposon, D.J., and van Manen, F.T., 2026, Exploring the exploitation of migratory moths by radio-marked grizzly bears in Wyoming: Journal of Wildlife Management, v. 90, no. 1, e70128, 12 p., https://doi.org/10.1002/jwmg.70128.","productDescription":"e70128, 12 p.","ipdsId":"IP-173987","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":496682,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone Ecosystem","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.60498337614324,\n              45.449960321615094\n            ],\n            [\n              -111.60498337614324,\n              43.279980925896126\n            ],\n            [\n              -107.56773081455422,\n              43.279980925896126\n            ],\n            [\n              -107.56773081455422,\n              45.449960321615094\n            ],\n            [\n              -111.60498337614324,\n              45.449960321615094\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"90","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Clapp, Justin","contributorId":256932,"corporation":false,"usgs":false,"family":"Clapp","given":"Justin","email":"","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":950722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haroldson, Mark 0000-0002-7457-7676","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":316737,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950723,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dellinger, Justin A.","contributorId":362686,"corporation":false,"usgs":false,"family":"Dellinger","given":"Justin","middleInitial":"A.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":950724,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bjornlie, Daniel D.","contributorId":145512,"corporation":false,"usgs":false,"family":"Bjornlie","given":"Daniel D.","affiliations":[{"id":16140,"text":"Wyoming Game & Fish Department, Large Carnivore Section, Lander, Wyoming 82520, USA","active":true,"usgs":false}],"preferred":false,"id":950725,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Thomposon, Daniel J.","contributorId":362689,"corporation":false,"usgs":false,"family":"Thomposon","given":"Daniel","middleInitial":"J.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":950726,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":950727,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272605,"text":"70272605 - 2026 - Rallus elegans (King Rail) occupancy is stable, but habitat is in short supply in the Arkansas Delta","interactions":[],"lastModifiedDate":"2026-03-09T14:35:28.484512","indexId":"70272605","displayToPublicDate":"2025-10-13T08:49:03","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"displayTitle":"<i>Rallus elegans</i> (King Rail) occupancy is stable, but habitat is in short supply in the Arkansas Delta","title":"Rallus elegans (King Rail) occupancy is stable, but habitat is in short supply in the Arkansas Delta","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Secretive marsh birds experienced precipitous declines due to losses in wetland habitat across North America. However, from 1998 to 2004, wetland area increased, and between 2009 and 2019, the extent of emergent wetlands did not significantly decrease. This raises the question: how did secretive marsh birds, which are tied to emergent wetlands, respond to this period of relative stability in wetland area? Here, we use&nbsp;</span><i>Rallus elegans</i><span>&nbsp;(King Rail) occurrence data collected in 2005, 2006, 2012, and 2017 in the Arkansas Delta in the United States to test the hypothesis that a period of stability in wetland vegetation is linked to stable&nbsp;</span><i>Rallus elegans</i><span>&nbsp;occupancy. Specifically, we sought to (1) quantify relationships between&nbsp;</span><i>R. elegans</i><span>&nbsp;occupancy and land cover, (2) quantify temporal trends in&nbsp;</span><i>R. elegans</i><span>&nbsp;occupancy, and (3) characterize changes in land cover types linked to&nbsp;</span><i>R. elegans</i><span>&nbsp;occupancy. We developed spatial multi-season occupancy models, and our top model contained the categorical year effect but showed no trend in&nbsp;</span><i>R. elegans</i><span>&nbsp;occupancy between 2005 and 2017, instead showing high interannual variation in occupancy. We found strong associations between&nbsp;</span><i>R. elegans</i><span>&nbsp;occupancy and emergent wetlands (positive) and elevation (negative). From 2005 to 2017 in the ∼3.7 million ha Arkansas Delta, rice crop cover decreased by 294,750 ha, emergent wetlands increased by 6,719 ha, and all other cover types increased or decreased by &lt; 7,500 ha. Thus, although emergent wetlands did increase, the total area of emergent wetlands in 2016 (22,262 ha) comprised &lt;1% of the Arkansas Delta. Our results support the hypothesis that&nbsp;</span><i>R. elegans</i><span>&nbsp;occupancy stabilized during a time when the main habitat type&nbsp;</span><i>R. elegans</i><span>&nbsp;depend on, emergent wetlands, also stabilized in spatial extent. There is an opportunity to turn the tide in&nbsp;</span><i>R. elegans</i><span>&nbsp;declines by conserving extant emergent wetlands and creating new emergent wetlands.</span></span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf061","usgsCitation":"Roberts, C.P., Novobilsky, J., Akpejeluh, P., Berry, L.L., Budd, M.J., Ferrara, M.C., LaBrie, L.A., Luther, L., Karki, V., Krementz, D., Rowe, K., Shaw, M., Wilson, K., and Fournier, A.M., 2026, Rallus elegans (King Rail) occupancy is stable, but habitat is in short supply in the Arkansas Delta: Ornithological Applications, v. 128, no. 1, p. 1-9, https://doi.org/10.1093/ornithapp/duaf061.","productDescription":"9 p.","startPage":"1","endPage":"9","ipdsId":"IP-174522","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496829,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Arkansas Delta","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.96315641035157,\n              36.459299338677496\n            ],\n            [\n              -90.28087923231129,\n              36.45048933753597\n            ],\n            [\n              -91.49353096425,\n              33.047452609094876\n            ],\n            [\n              -91.0158924779668,\n              32.976183247321174\n            ],\n            [\n              -90.95776245759438,\n              33.84760195658297\n            ],\n            [\n              -89.76764248207327,\n              35.163642311638526\n            ],\n            [\n              -89.54688206701809,\n              36.418211526215345\n            ],\n            [\n              -89.96315641035157,\n              36.459299338677496\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"128","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Roberts, Caleb P. 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":197604,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","middleInitial":"P.","affiliations":[],"preferred":false,"id":950956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Novobilsky, Jessica","contributorId":362980,"corporation":false,"usgs":false,"family":"Novobilsky","given":"Jessica","affiliations":[{"id":85969,"text":"Arkansas Natural Heritage Commission","active":true,"usgs":false}],"preferred":false,"id":950895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akpejeluh, Paul","contributorId":362982,"corporation":false,"usgs":false,"family":"Akpejeluh","given":"Paul","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":950896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berry, Lauren L.","contributorId":362983,"corporation":false,"usgs":false,"family":"Berry","given":"Lauren","middleInitial":"L.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":950897,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Budd, Michael J.","contributorId":362985,"corporation":false,"usgs":false,"family":"Budd","given":"Michael","middleInitial":"J.","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":950898,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ferrara, Michael C.","contributorId":362987,"corporation":false,"usgs":false,"family":"Ferrara","given":"Michael","middleInitial":"C.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":950899,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LaBrie, Lindsey A.","contributorId":362990,"corporation":false,"usgs":false,"family":"LaBrie","given":"Lindsey","middleInitial":"A.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":950900,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Luther, Lauren","contributorId":362994,"corporation":false,"usgs":false,"family":"Luther","given":"Lauren","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":950901,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Karki, Vinita","contributorId":362998,"corporation":false,"usgs":false,"family":"Karki","given":"Vinita","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":950902,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Krementz, David","contributorId":340128,"corporation":false,"usgs":false,"family":"Krementz","given":"David","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":950903,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Rowe, Karen","contributorId":341072,"corporation":false,"usgs":false,"family":"Rowe","given":"Karen","affiliations":[{"id":81696,"text":"Arkansas Game & Fish Commission","active":true,"usgs":false}],"preferred":false,"id":950904,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Shaw, Michael","contributorId":341402,"corporation":false,"usgs":false,"family":"Shaw","given":"Michael","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":950905,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wilson, Kenneth","contributorId":175045,"corporation":false,"usgs":false,"family":"Wilson","given":"Kenneth","email":"","affiliations":[],"preferred":false,"id":950906,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fournier, Auriel M.V.","contributorId":363004,"corporation":false,"usgs":false,"family":"Fournier","given":"Auriel","middleInitial":"M.V.","affiliations":[{"id":36894,"text":"Illinois Natural History Survey","active":true,"usgs":false}],"preferred":false,"id":950907,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70272805,"text":"70272805 - 2026 - SURF: An automated method for building nonplanar 3D fault models from earthquake hypocenters","interactions":[],"lastModifiedDate":"2026-02-24T16:18:42.365408","indexId":"70272805","displayToPublicDate":"2025-10-08T08:06:07","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"SURF: An automated method for building nonplanar 3D fault models from earthquake hypocenters","docAbstract":"<p><span>Accurately characterizing 3D fault geometry is vital for improving our understanding of earthquake behavior and informing the development of seismic hazard models. Despite their importance, subsurface fault structures tend to be poorly constrained because of limitations in observational data. Improvements to the seismic networks and earthquake detection algorithms have increased the precision and volume of earthquake catalogs, which help illuminate detailed subsurface fault structure and provide the most direct information available about fault geometries at depth. We present a Python package to automate generating 3D fault geometries directly from hypocentral seismicity patterns. This method begins with clustering events based on their spatial density, identifying coherent patterns. Nearby clusters are then merged based on the similarity of their orientations. We fit nonplanar surfaces using support vector regression to balance surface accuracy with minimal deviations from planarity. The fault models are output as quadrilateral meshes at user‐defined resolution. In the process of generating the 3D fault surfaces, we compute the spatial density of seismicity around the surface and the planarity as quantitative metrics of the model outputs.</span></p><p><span>As a proof of concept, we apply this approach to the San Andreas–Calaveras fault junction region and the 2019 Ridgecrest earthquake sequence, both in California, which contain complex subparallel faults well defined at the Earth’s surface and abundant microseismicity. These case studies demonstrate the method’s ability to model complex fault structures, including long continuous fault surfaces, crossing faults, variably dipping segments, and subparallel faults. We test the method on both standard network catalogs and double‐difference relocated catalogs. We find that our seismicity‐based fault model results align with published 3D models that incorporate additional constraints and interpretations (<a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf51\">Plesch&nbsp;<i>et&nbsp;al.</i>, 2020</a>;&nbsp;<a class=\"link link-ref xref-bibr\" data-modal-source-id=\"rf1\">Aagaard and Hirakawa, 2021</a>). This workflow provides a low‐user‐input solution for estimating fault geometries at depth from earthquake catalogs.</span></p>","language":"English","publisher":"GeoScienceWorld","doi":"10.1785/0220250126","usgsCitation":"Alongi, T., Elliott, A., Skoumal, R.J., Shelly, D.R., and Hatem, A.E., 2025, SURF: An automated method for building nonplanar 3D fault models from earthquake hypocenters: Seismological Research Letters, 17 p., https://doi.org/10.1785/0220250126.","productDescription":"17 p.","startPage":"1174","endPage":"1190","ipdsId":"IP-178312","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":497278,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497408,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250126","text":"Publisher Index Page"}],"country":"United States","state":"California","otherGeospatial":"San Juan Bautista region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.25291945869327,\n              37.524171519157804\n            ],\n            [\n              -122.25291945869327,\n              36.474162123504954\n            ],\n            [\n              -120.47224721181419,\n              36.474162123504954\n            ],\n            [\n              -120.47224721181419,\n              37.524171519157804\n            ],\n            [\n              -122.25291945869327,\n              37.524171519157804\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"97","issue":"2A","noUsgsAuthors":false,"publicationDate":"2025-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Alongi, Travis Vincent 0000-0002-0865-8064","orcid":"https://orcid.org/0000-0002-0865-8064","contributorId":335029,"corporation":false,"usgs":true,"family":"Alongi","given":"Travis Vincent","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":951821,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elliott, Austin J.","contributorId":191820,"corporation":false,"usgs":false,"family":"Elliott","given":"Austin J.","affiliations":[],"preferred":false,"id":951822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skoumal, Robert J. 0000-0002-5627-6239 rskoumal@usgs.gov","orcid":"https://orcid.org/0000-0002-5627-6239","contributorId":191213,"corporation":false,"usgs":true,"family":"Skoumal","given":"Robert","email":"rskoumal@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":951823,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951824,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":951825,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272056,"text":"70272056 - 2026 - RioM-1: A new calcite reference material for U-Pb LA-ICP-MS geochronology","interactions":[],"lastModifiedDate":"2026-03-09T14:31:12.013284","indexId":"70272056","displayToPublicDate":"2025-10-06T09:33:04","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1822,"text":"Geostandards and Geoanalytical Research","active":true,"publicationSubtype":{"id":10}},"title":"RioM-1: A new calcite reference material for U-Pb LA-ICP-MS geochronology","docAbstract":"<p><span>Determining absolute ages of carbonate diagenesis, faulting, fossil formation, speleothem growth, carbonate-hosted hydrocarbon deposits, vein mineralisation and hydrothermal alteration has become increasingly accessible through LA-ICP-MS U-Pb dating of calcite, complementing traditional isotope dilution methods still applicable to certain materials (e.g., speleothems via micro-drilling). However, well-calibrated reference materials for LA-ICP-MS calcite geochronology remain scarce. Here, we characterise the Rio Maior calcite, designated ‘RioM-1’, as a potential reference material for U-Pb dating by LA-ICP-MS. Fragments (0.1 to 1 cm</span><sup>3</sup><span>) from a single scalenohedral crystal were analysed by ID-TIMS (U-Pb), LA-ICP-MS (U-Pb and&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr), and SIMS (O isotopes). RioM-1 displays high U mass fraction and low, though variable, proportions of common Pb. Combined ID-TIMS analyses from two independent laboratories yielded a Tera-Wasserburg lower intercept date of 63.93 ± 0.11 Ma (2</span><i>s</i><span>, MSWD&nbsp;=&nbsp;1.3,&nbsp;</span><i>n</i><span>&nbsp;= 16). LA-ICP-MS U-Pb data from three independent laboratories are concordant with the TIMS age, producing a pooled date of 64.10 ± 0.12/1.2 Ma (2</span><i>s</i><span>, MSWD&nbsp;=&nbsp;7.7,&nbsp;</span><i>n</i><span>&nbsp;= 708) and an initial&nbsp;</span><sup>207</sup><span>Pb/</span><sup>206</sup><span>Pb ratio of 0.85 ± 0.01. Other calcite reference materials, when normalised to RioM-1, yielded dates within uncertainty of their published values. SIMS measurements returned a mean&nbsp;</span><sup>18</sup><span>O/</span><sup>16</sup><span>O of 0.002044450 ± 181 (1</span><i>s</i><span>) and δ</span><sup>18</sup><span>O</span><sub>SMOW</sub><span>&nbsp;of 19.57 ± 0.92‰ (1</span><i>s</i><span>), while LA-ICP-MS strontium isotope measurement yielded a mean&nbsp;</span><sup>87</sup><span>Sr/</span><sup>86</sup><span>Sr of 0.708177 ± 9 (2</span><i>s</i><span>).</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/ggr.70018","usgsCitation":"Silva, M., Lana, C., Scholz, R., Buick, I., Kamo, S., Roberts, N.M., Gerdes, A., Wiedenbeck, M., Schoene, B., Apen, F.E., and Gaynor, S.P., 2026, RioM-1: A new calcite reference material for U-Pb LA-ICP-MS geochronology: Geostandards and Geoanalytical Research, v. 50, no. 1, p. 181-199, https://doi.org/10.1111/ggr.70018.","productDescription":"19 p.","startPage":"181","endPage":"199","ipdsId":"IP-182405","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":496497,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496714,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ggr.70018","text":"Publisher Index Page"}],"volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Silva, Marco","contributorId":362070,"corporation":false,"usgs":false,"family":"Silva","given":"Marco","affiliations":[{"id":86454,"text":"Universidade Federal de Ouro Preto","active":true,"usgs":false}],"preferred":false,"id":949931,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lana, Cristiano","contributorId":362071,"corporation":false,"usgs":false,"family":"Lana","given":"Cristiano","affiliations":[{"id":39919,"text":"Stellenbosch University","active":true,"usgs":false}],"preferred":false,"id":949932,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scholz, Ricardo","contributorId":362072,"corporation":false,"usgs":false,"family":"Scholz","given":"Ricardo","affiliations":[{"id":86454,"text":"Universidade Federal de Ouro Preto","active":true,"usgs":false}],"preferred":false,"id":949933,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Buick, Ian","contributorId":362073,"corporation":false,"usgs":false,"family":"Buick","given":"Ian","affiliations":[{"id":86454,"text":"Universidade Federal de Ouro Preto","active":true,"usgs":false}],"preferred":false,"id":949934,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kamo, Sandra K.","contributorId":345930,"corporation":false,"usgs":false,"family":"Kamo","given":"Sandra K.","affiliations":[{"id":82757,"text":"Jack Satterly Geochronology Laboratory, University of Toronto","active":true,"usgs":false}],"preferred":false,"id":949935,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Roberts, Nick M.W.","contributorId":362074,"corporation":false,"usgs":false,"family":"Roberts","given":"Nick","middleInitial":"M.W.","affiliations":[{"id":25567,"text":"British Geological Survey","active":true,"usgs":false}],"preferred":false,"id":949936,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gerdes, Axel","contributorId":362075,"corporation":false,"usgs":false,"family":"Gerdes","given":"Axel","affiliations":[{"id":86457,"text":"Goethe-Universität Frankfurt","active":true,"usgs":false}],"preferred":false,"id":949937,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wiedenbeck, Michael","contributorId":362076,"corporation":false,"usgs":false,"family":"Wiedenbeck","given":"Michael","affiliations":[{"id":86458,"text":"Helmholtz Zentrum Potsdam","active":true,"usgs":false}],"preferred":false,"id":949938,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schoene, Blair","contributorId":353005,"corporation":false,"usgs":false,"family":"Schoene","given":"Blair","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":949939,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Apen, Francisco E.","contributorId":362077,"corporation":false,"usgs":false,"family":"Apen","given":"Francisco","middleInitial":"E.","affiliations":[{"id":12698,"text":"Northern Arizona University","active":true,"usgs":false}],"preferred":false,"id":949940,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Gaynor, Sean Patrick 0000-0002-8353-511X","orcid":"https://orcid.org/0000-0002-8353-511X","contributorId":346264,"corporation":false,"usgs":true,"family":"Gaynor","given":"Sean","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949941,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70273095,"text":"70273095 - 2026 - Synthesis of observed field salinity ranges for oyster and seagrass species in the U.S.","interactions":[],"lastModifiedDate":"2025-12-15T15:34:53.336829","indexId":"70273095","displayToPublicDate":"2025-10-06T09:29:18","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Synthesis of observed field salinity ranges for oyster and seagrass species in the U.S.","docAbstract":"<p><span>Oyster and seagrass are important sessile, habitat-forming species that may be impacted by changes in salinity regimes from anthropogenic or climatic drivers. While salinity tolerance literature is focused on controlled experiments, observed field salinity ranges of species are more disparate. The salinity ranges in which organisms are observed in the field may not align exactly with their experimentally (wet lab) determined physiological salinity tolerances, since other critical factors control species occurrence. We performed a systematic review to synthesize observed practical salinity ranges for 10 oyster and 12 seagrass species in coastal waters of the United States. Of initially returned search results for oysters and seagrass, only 11.4% and 6.5% met our review inclusion criteria, respectively, corresponding to 3 oyster species and 5 seagrass species. The majority (95%) of the 57 reviewed studies were along the Atlantic and Gulf coasts, with 68% focusing on&nbsp;</span><i>Crassostrea virginica</i><span>. Shorter studies following episodic events were more common than long-term monitoring. Observed field salinity ranges were as follows (ppt):&nbsp;</span><i>Crassostrea virginica</i><span>&nbsp;(0.1 – 42.8, mean: 19.6),&nbsp;</span><i>Ostrea lurida</i><span>&nbsp;(1.7 – 32.5, mean: 27.8),&nbsp;</span><i>Thalassia testudinum</i><span>&nbsp;(0 – 65, mean 31.8),&nbsp;</span><i>Halodule wrightii</i><span>&nbsp;(&lt;0.5 – 68.7, mean: 18.5),&nbsp;</span><i>Syringodium filiforme</i><span>&nbsp;(13.7 – 68.7, mean: 30.4),&nbsp;</span><i>Ruppia maritima</i><span>&nbsp;(0 – 29.4, mean: 3.8), and&nbsp;</span><i>Zostera marina</i><span>&nbsp;(19.7 – 51.2, mean: 28.9). Place-based examples highlight how reported overlapping salinity ranges for oyster and seagrass species can be used to expand existing habitat suitability models, inform restoration, and provide considerations for guiding holistic management of freshwater inflows to estuaries.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s12237-025-01612-2","usgsCitation":"Lee, C.I., Yurek, S., Eggleston, D.B., and Nelson, N.G., 2026, Synthesis of observed field salinity ranges for oyster and seagrass species in the U.S.: Estuaries and Coasts, v. 49, no. 1, 6, 17 p., https://doi.org/10.1007/s12237-025-01612-2.","productDescription":"6, 17 p.","ipdsId":"IP-177880","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":497720,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-025-01612-2","text":"Publisher Index Page"},{"id":497521,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.05180427924824,\n              34.156293622797904\n            ],\n            [\n              -98.26153628209767,\n              34.156293622797904\n            ],\n            [\n              -98.26153628209767,\n              25.470255691287306\n            ],\n            [\n              -78.05180427924824,\n              25.470255691287306\n            ],\n            [\n              -78.05180427924824,\n              34.156293622797904\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    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I.","contributorId":364189,"corporation":false,"usgs":false,"family":"Lee","given":"Charlotte","middleInitial":"I.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":952305,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yurek, Simeon 0000-0002-6209-7915","orcid":"https://orcid.org/0000-0002-6209-7915","contributorId":216705,"corporation":false,"usgs":true,"family":"Yurek","given":"Simeon","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":952306,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Eggleston, David B.","contributorId":364190,"corporation":false,"usgs":false,"family":"Eggleston","given":"David","middleInitial":"B.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":952307,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, Natalie G. 0000-0002-3258-7622","orcid":"https://orcid.org/0000-0002-3258-7622","contributorId":364191,"corporation":false,"usgs":false,"family":"Nelson","given":"Natalie","middleInitial":"G.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":952308,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272057,"text":"70272057 - 2026 - Widespread anhydrite saturation in Laramide-age arc magmas of southwestern USA","interactions":[],"lastModifiedDate":"2026-01-05T16:46:17.040705","indexId":"70272057","displayToPublicDate":"2025-10-03T09:08:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Widespread anhydrite saturation in Laramide-age arc magmas of southwestern USA","docAbstract":"<p><span>Anhydrite is considered a rare mineral phase in magmas, with only ∼33 documented occurrences worldwide. However, anhydrite readily decomposes in the near-surface environment, making it difficult to recognize its former presence in rocks collected at or near Earth’s surface. In such samples, only small anhydrite inclusions fully shielded within other minerals can have survived. During a recent field trip to the southwestern USA, we sampled 17 Laramide-age (ca. 40−80 Ma) magma systems, most of which are associated with porphyry copper deposits. A systematic search for anhydrite inclusions preserved within apatite, amphibole, plagioclase, and quartz phenocrysts in ∼100 rock samples by optical microscopy and Raman spectroscopy revealed that each of these 17 magma systems was at least temporarily anhydrite-saturated. Also, most previously identified magmatic anhydrite-bearing intrusions are associated with porphyry copper deposits, and both intrusive and volcanic rocks containing magmatic anhydrite show high Sr/Y ratios. These observations suggest that anhydrite saturation and porphyry copper formation are linked via magma fractionation at high pressure. Compared to average arc magmas, anhydrite-bearing magmas are unusually oxidized and sulfur-rich and seem to also be unusually water-rich. Hence, our preferred interpretation is that magma generation and/or fractionation at high pressure promotes the formation of superhydrous and oxidized magmas, which in turn promotes high sulfur contents and ultimately the precipitation of anhydrite. The high mineralization potential of these magmas does not need to result from their high sulfur content but could be caused by other properties of high-pressure magmas.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G53661.1","usgsCitation":"Audétat, A., Chang, J., and Gaynor, S.P., 2026, Widespread anhydrite saturation in Laramide-age arc magmas of southwestern USA: Geology, v. 54, no. 1, p. 19-23, https://doi.org/10.1130/G53661.1.","productDescription":"5 p.","startPage":"19","endPage":"23","ipdsId":"IP-180127","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":496491,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.1850161548798,\n              37.09668430702368\n            ],\n            [\n              -114.17123099542934,\n              36.1314881664468\n            ],\n            [\n              -114.53871291780632,\n              36.149655948885254\n            ],\n            [\n              -114.81618548536994,\n              35.86279700093031\n            ],\n            [\n              -114.72255144506553,\n              32.378354757715044\n            ],\n            [\n              -111.30008643678198,\n              31.339553209100846\n            ],\n            [\n              -109.30561954381162,\n              31.352787834987573\n            ],\n            [\n              -108.17268046973098,\n              31.288413412134357\n            ],\n            [\n              -108.08261646812497,\n              31.7457427678113\n            ],\n            [\n              -103.05693498349231,\n              31.994084642806044\n            ],\n            [\n              -103.05693498349231,\n              37.09668430702368\n            ],\n            [\n              -114.1850161548798,\n              37.09668430702368\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"54","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Audétat, Andreas","contributorId":348171,"corporation":false,"usgs":false,"family":"Audétat","given":"Andreas","affiliations":[{"id":83309,"text":"Bavarian Geoinstitute, University of Bayreuth","active":true,"usgs":false}],"preferred":false,"id":949942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chang, Jia","contributorId":348172,"corporation":false,"usgs":false,"family":"Chang","given":"Jia","affiliations":[{"id":83309,"text":"Bavarian Geoinstitute, University of Bayreuth","active":true,"usgs":false}],"preferred":false,"id":949943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gaynor, Sean Patrick 0000-0002-8353-511X","orcid":"https://orcid.org/0000-0002-8353-511X","contributorId":346264,"corporation":false,"usgs":true,"family":"Gaynor","given":"Sean","email":"","middleInitial":"Patrick","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":949944,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272094,"text":"70272094 - 2026 - Late Pleistocene kinematics of the Great Southern Puerto Rico Fault Zone, Puerto Rico","interactions":[],"lastModifiedDate":"2026-02-24T16:10:03.057498","indexId":"70272094","displayToPublicDate":"2025-10-02T08:20:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Late Pleistocene kinematics of the Great Southern Puerto Rico Fault Zone, Puerto Rico","docAbstract":"<p><span>Several onshore faults in southern Puerto Rico have recently been recognized as Quaternary active. However, the kinematics of these faults, particularly any lateral component, remain largely unconstrained. It is difficult to characterize low strain‐rate faults, partially due to extensive erosional and anthropogenic landscape modification, steep relief, and frequent landsliding, limiting the preservation of geomorphic features that could serve as recorders of fault motion. Here, we constrain the kinematics along sections of the Great Southern Puerto Rico Fault Zone (GSPRFZ) on the southern coastal plain of Puerto Rico. We integrate ∼1‐m‐resolution light detection and ranging (lidar)‐derived topography, historical air photos, and field mapping to identify a series of ∼50–1200‐m‐long fault scarps and lineaments that trend northwest–southeast and extend for ≥25&nbsp;km across the southern coastal plain. Fault scarps are primarily south facing, cut across topography, and displace Quaternary deposits and landforms. We document multiple offset geomorphic markers, including channel thalwegs and interfluves formed in deposits previously mapped as Quaternary piedmont alluvial plain. We observe both vertical (south‐side‐down) and right‐lateral meter‐scale displacements, which indicate that the GSPRFZ accommodates right‐lateral oblique motion in the late Pleistocene, consistent with northeast motion of the Puerto Rico and the Virgin Islands microplate away from the Hispaniola block.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250116","usgsCitation":"Lynch, E.M., Jobe, J.A., Briggs, R.W., Tan, M.M., Ortega Díaz, V., and Hughes, K.S., 2025, Late Pleistocene kinematics of the Great Southern Puerto Rico Fault Zone, Puerto Rico: Seismological Research Letters, 20 p., https://doi.org/10.1785/0220250116.","productDescription":"20 p.","startPage":"11366","endPage":"1155","ipdsId":"IP-175725","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":496485,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -67.27964752849539,\n              18.568005378001303\n            ],\n            [\n              -67.27964752849539,\n              17.86172011237666\n            ],\n            [\n              -65.21697033989997,\n              17.86172011237666\n            ],\n            [\n              -65.21697033989997,\n              18.568005378001303\n            ],\n            [\n              -67.27964752849539,\n              18.568005378001303\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"97","issue":"2A","noUsgsAuthors":false,"publicationDate":"2025-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, Emerson Madelyn 0000-0003-1419-1373","orcid":"https://orcid.org/0000-0003-1419-1373","contributorId":360726,"corporation":false,"usgs":true,"family":"Lynch","given":"Emerson","middleInitial":"Madelyn","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":950043,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jobe, Jessica Ann Thompson 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Jobe","given":"Jessica","email":"","middleInitial":"Ann Thompson","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950044,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":950045,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tan, M. Morow 0000-0003-2959-5733","orcid":"https://orcid.org/0000-0003-2959-5733","contributorId":360727,"corporation":false,"usgs":false,"family":"Tan","given":"M.","middleInitial":"Morow","affiliations":[{"id":86089,"text":"University of Colorado Boulder Department of Geological Sciences","active":true,"usgs":false}],"preferred":false,"id":950046,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ortega Díaz, Victor","contributorId":360728,"corporation":false,"usgs":false,"family":"Ortega Díaz","given":"Victor","affiliations":[{"id":62735,"text":"University of Puerto Rico Mayagüez","active":true,"usgs":false}],"preferred":false,"id":950047,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hughes, K. Stephen 0000-0001-9820-3188","orcid":"https://orcid.org/0000-0001-9820-3188","contributorId":360729,"corporation":false,"usgs":false,"family":"Hughes","given":"K.","middleInitial":"Stephen","affiliations":[{"id":62735,"text":"University of Puerto Rico Mayagüez","active":true,"usgs":false}],"preferred":false,"id":950048,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272184,"text":"70272184 - 2026 - Earthquake magnitude and source parameter estimation with a distributed acoustic sensing dataset in the Gorda subduction zone","interactions":[],"lastModifiedDate":"2026-02-09T16:06:00.870523","indexId":"70272184","displayToPublicDate":"2025-10-01T10:17:30","publicationYear":"2026","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":"Earthquake magnitude and source parameter estimation with a distributed acoustic sensing dataset in the Gorda subduction zone","docAbstract":"<div id=\"152894609-content\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Distributed acoustic sensing (DAS) systems offer a cost‐effective way to create large‐scale strainmeter arrays for seismological applications using fiber‐optic cables. DAS‐based strain measurements are known to be influenced by various factors, bringing into question their general reliability for accurate earthquake characterization. A 15‐km‐long DAS deployment in northern California was operational within 3&nbsp;days of the 2022<span><i> M</i><sub>w</sub></span>&nbsp;6.4 Ferndale earthquake and ran continuously throughout the aftershock sequence. We utilize these aftershock data to validate DAS‐based strain measurements in two ways. We first test the accuracy of DAS‐based magnitude estimates from peak dynamic strains by comparing them with magnitude and attenuation scaling relations derived independently from traditional borehole strainmeter (BSM) data. We demonstrate that DAS‐based magnitudes are comparable to BSM‐based magnitudes when corrections for variations in site response along the fiber‐optic cable are properly made. Magnitude errors are spatially correlated, potentially because of factors such as finite‐fault effects (e.g., stress drop) or more complex, unmodeled path attenuation or because of wave propagation effects in heterogeneous media. We then apply more advanced source characterization methodology to the DAS data using a time‐domain empirical Green’s function (EGF) deconvolution approach to measure details of the moment rate history. The EGF approach using DAS data depends on careful treatment of distorting factors such as anthropogenic sources of noise and optical phase wrapping but successfully isolates source spectra for moderate‐magnitude earthquakes: source spectral ratios obtained from DAS data, broadband seismometer data, and BSM data in the same region show consistent results, revealing differences in directivity and spectral shape among earthquakes. Although further research is needed to refine source‐time‐function estimation techniques for DAS data, particularly for larger magnitude events, these case studies demonstrate the clear potential of DAS for earthquake source characterization.</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250077","usgsCitation":"Barbour, A.J., McGuire, J.J., Karrenbach, M., McPherson, R., Hemphill-Haley, M., and Stewart, C., 2026, Earthquake magnitude and source parameter estimation with a distributed acoustic sensing dataset in the Gorda subduction zone: Bulletin of the Seismological Society of America, v. 116, no. 1, p. 355-374, https://doi.org/10.1785/0120250077.","productDescription":"20 p.","startPage":"355","endPage":"374","ipdsId":"IP-176772","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":496595,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496738,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120250077","text":"Publisher Index Page"}],"country":"United States","state":"California","county":"Humboldt County","otherGeospatial":"Gorda subduction zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.5,\n              41.5\n            ],\n            [\n              -125.5,\n              39.5\n            ],\n            [\n              -123.5,\n              39.5\n            ],\n            [\n              -123.5,\n              41.5\n            ],\n            [\n              -125.5,\n              41.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"116","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-10-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Barbour, Andrew J. 0000-0002-6890-2452","orcid":"https://orcid.org/0000-0002-6890-2452","contributorId":215339,"corporation":false,"usgs":true,"family":"Barbour","given":"Andrew","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":950360,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McGuire, Jeffrey J. 0000-0001-9235-2166","orcid":"https://orcid.org/0000-0001-9235-2166","contributorId":220939,"corporation":false,"usgs":true,"family":"McGuire","given":"Jeffrey","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":950361,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karrenbach, Martin","contributorId":353682,"corporation":false,"usgs":false,"family":"Karrenbach","given":"Martin","affiliations":[{"id":84462,"text":"Seismics Unuusal","active":true,"usgs":false}],"preferred":false,"id":950362,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McPherson, Robert","contributorId":336975,"corporation":false,"usgs":false,"family":"McPherson","given":"Robert","affiliations":[{"id":63943,"text":"Cal Poly Humboldt","active":true,"usgs":false}],"preferred":false,"id":950363,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hemphill-Haley, Mark","contributorId":295931,"corporation":false,"usgs":false,"family":"Hemphill-Haley","given":"Mark","affiliations":[{"id":63943,"text":"Cal Poly Humboldt","active":true,"usgs":false}],"preferred":false,"id":950364,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stewart, Connie","contributorId":361970,"corporation":false,"usgs":false,"family":"Stewart","given":"Connie","affiliations":[{"id":65879,"text":"California State Polytechnic University, Humboldt","active":true,"usgs":false}],"preferred":false,"id":950365,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273995,"text":"70273995 - 2026 - Laboratory transmission of adult salmon enteritis and associated pathogens in juvenile Chinook salmon (<i>Oncorhynchus tshawytscha</i>)","interactions":[],"lastModifiedDate":"2026-03-09T14:55:01.917538","indexId":"70273995","displayToPublicDate":"2025-09-29T11:48:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Laboratory transmission of adult salmon enteritis and associated pathogens in juvenile Chinook salmon (<i>Oncorhynchus tshawytscha</i>)","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Adult salmon enteritis (ASE), characterised by severe ulcerative enteritis, has been linked to prespawn mortality (PSM) in spring Chinook salmon (</span><i>Oncorhynchus tshawytscha</i><span>) in certain rivers in Oregon, USA. Catastrophic losses of spring Chinook salmon have resulted from PSM, a significant threat to their population stability. Understanding the causes of ASE is therefore critical for mitigating PSM and supporting conservation. This study investigates the potential infectious aetiology of ASE using a juvenile Chinook salmon model. Fish were immunocompromised with dexamethasone implants, fasted, and exposed to intestinal tissues from ASE-affected adult Chinook. Histopathology of recipient fish revealed mid-intestinal lesions consistent with ASE. The microsporidium&nbsp;</span><i>Enterocytozoon schreckii</i><span>, which is observed in ASE-affected adults from rivers, was transmitted for the first time to juvenile Chinook Salmon, making&nbsp;</span><i>E. schreckii</i><span>&nbsp;a potential new pathogen of juvenile salmon. Additionally, intranuclear inclusions were identified in enterocytes by histopathology and viral particles were detected by electron microscopy in recipient fish. The study demonstrates that intestinal lesions consistent with ASE can be experimentally induced in juvenile Chinook salmon through oral exposure to infected tissues, supporting an infectious aetiology. Further research is needed to isolate specific pathogens, including viruses and&nbsp;</span><i>E. schreckii</i><span>, and to elucidate their roles in ASE development.</span></span></p>","language":"English","publisher":"Wiley","doi":"10.1111/jfd.70063","usgsCitation":"Polley, T., Couch, C.E., Leong, C., Peterson, J.T., Weiss, L.M., Takvorian, P.M., and Kent, M.L., 2026, Laboratory transmission of adult salmon enteritis and associated pathogens in juvenile Chinook salmon (<i>Oncorhynchus tshawytscha</i>): Journal of Fish Diseases, v. 49, no. 4, e70063, https://doi.org/10.1111/jfd.70063.","productDescription":"e70063","ipdsId":"IP-176950","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500365,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.0513003030479,\n              46.27312980016177\n            ],\n            [\n              -124.8201305753235,\n              42.02283831436401\n            ],\n            [\n              -117.06920092722393,\n              42.02283831436401\n            ],\n            [\n              -116.91041886924464,\n              44.23771174691564\n            ],\n            [\n              -116.45837265782083,\n              45.829798206918255\n            ],\n            [\n              -117.06194688328284,\n              46.00978563520533\n            ],\n            [\n              -124.0513003030479,\n              46.27312980016177\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"49","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Polley, Tamsen","contributorId":366582,"corporation":false,"usgs":false,"family":"Polley","given":"Tamsen","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":956068,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Couch, Claire E. 0000-0003-4983-3719","orcid":"https://orcid.org/0000-0003-4983-3719","contributorId":359728,"corporation":false,"usgs":true,"family":"Couch","given":"Claire","middleInitial":"E.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":956069,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leong, Connor","contributorId":366583,"corporation":false,"usgs":false,"family":"Leong","given":"Connor","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":956070,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":956071,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Weiss, Louis M.","contributorId":366584,"corporation":false,"usgs":false,"family":"Weiss","given":"Louis","middleInitial":"M.","affiliations":[{"id":87497,"text":"Albert Einstein College of Medicine","active":true,"usgs":false}],"preferred":false,"id":956072,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Takvorian, Peter M.","contributorId":366585,"corporation":false,"usgs":false,"family":"Takvorian","given":"Peter","middleInitial":"M.","affiliations":[{"id":87497,"text":"Albert Einstein College of Medicine","active":true,"usgs":false}],"preferred":false,"id":956073,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kent, Michael L.","contributorId":366586,"corporation":false,"usgs":false,"family":"Kent","given":"Michael","middleInitial":"L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":956074,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70272302,"text":"70272302 - 2026 - An approach to modeling abundance of marine wildlife over space and time using unstructured aerial surveys","interactions":[],"lastModifiedDate":"2026-01-06T14:14:50.268483","indexId":"70272302","displayToPublicDate":"2025-09-29T09:44:39","publicationYear":"2026","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":"An approach to modeling abundance of marine wildlife over space and time using unstructured aerial surveys","docAbstract":"<p><span>Estimating spatial and temporal patterns in abundance is often a goal of ecological studies and can be useful for informing management decisions, such as determining the optimal placement of wildlife protection zones. However, estimating abundance can be difficult in practice, especially over large areas, because of imperfect detection, where individuals are present but not detected because of either availability or observer error. Several methods for estimating abundance that account for imperfect detection exist but can be logistically challenging to implement. We present a simpler approach to some of the more commonly used techniques for estimating the abundance of marine wildlife over space and time from unstructured aerial surveys. This approach combines a spatial model for count data with auxiliary information on detection probability obtained from small-scale or previous studies. We employ generalized linear models and generalized additive models with spatial habitat covariates to illustrate this approach using maximum-likelihood with free, open-source statistical software. This framework is intended to be accessible and flexible, requiring lower survey costs and less computation time than other alternatives for estimating abundance. Indeed, our simulation results show that this approach can reduce computation times, while appropriately characterizing uncertainty, compared to a Bayesian approach. We also present R code for our approach using an example of estimating Florida manatee (</span><i>Trichechus manatus latirostris</i><span>) abundance in Indian River County in Florida, USA. This approach could be applied to other study systems and marine wildlife species using unstructured aerial surveys.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70123","usgsCitation":"Gowan, T., Moore, J., Edwards, H., Goode, A.B., and Martin, J., 2026, An approach to modeling abundance of marine wildlife over space and time using unstructured aerial surveys: Journal of Wildlife Management, v. 90, no. 1, e70123, 13 p., https://doi.org/10.1002/jwmg.70123.","productDescription":"e70123, 13 p.","ipdsId":"IP-162997","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":496688,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.89073741234508,\n              28.075579800033395\n            ],\n            [\n              -80.90350757932309,\n              27.9850763978486\n            ],\n            [\n              -80.87434903138963,\n              27.904913353151365\n            ],\n            [\n              -80.52338227560871,\n              27.811207406010766\n            ],\n            [\n              -80.39184955573482,\n              27.54017953909647\n            ],\n            [\n              -80.29735032009685,\n              27.542444169405414\n            ],\n            [\n              -80.51188912532828,\n              28.08158882317049\n            ],\n            [\n              -80.89073741234508,\n              28.075579800033395\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"90","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-09-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Gowan, Timothy A.","contributorId":335405,"corporation":false,"usgs":false,"family":"Gowan","given":"Timothy A.","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":950728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Jennifer","contributorId":328646,"corporation":false,"usgs":false,"family":"Moore","given":"Jennifer","affiliations":[{"id":78438,"text":"Moore Ecological Analysis and Management, LLC","active":true,"usgs":false}],"preferred":false,"id":950729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Holly","contributorId":211646,"corporation":false,"usgs":false,"family":"Edwards","given":"Holly","affiliations":[{"id":35758,"text":"FWC","active":true,"usgs":false}],"preferred":false,"id":950730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goode, Ashley B.C.","contributorId":332463,"corporation":false,"usgs":false,"family":"Goode","given":"Ashley","middleInitial":"B.C.","affiliations":[{"id":33268,"text":"USDA-ARS Aquatic Weed Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":950731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":213876,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":950732,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70271975,"text":"70271975 - 2026 - Supporting dryland restoration success with applied ecological forecasting of seeding outcomes","interactions":[],"lastModifiedDate":"2026-02-09T16:02:05.631907","indexId":"70271975","displayToPublicDate":"2025-09-23T07:48:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Supporting dryland restoration success with applied ecological forecasting of seeding outcomes","docAbstract":"<p>Introduction</p><p><span>Ecological restoration is increasingly used to sustain biodiversity and ecosystem services. In drylands of the western United States (US), post-disturbance restoration often involves seeding treatments to promote the recovery of native plant communities. Spatial and temporal variability in environmental conditions influences plant establishment and contributes to low restoration success in certain locations and years.</span></p><p><span>Objectives</span></p><p><span>Here, we discuss how forecasts for plant establishment can be developed and delivered to help land managers anticipate the impacts of near-term (months to years) environmental conditions on restoration.</span></p><p><span>Methods</span></p><p><span>We developed an ecological forecast system that predicts the outcome of restoration seeding by integrating weather forecasts, an ecosystem water balance model, and plant establishment models.</span></p><p><span>Results</span></p><p><span>In this article, we focus on a conceptual approach to developing, delivering, and applying ecological forecasts for restoration. We illustrate the potential of this approach by adapting existing ecological models to build an initial version of a decision support tool that delivers a species-specific ecological forecast for big sagebrush (<i>Artemisia tridentata</i>) establishment. Integrating ecological forecasts into plans for restoration seeding presents opportunities to anticipate and account for environmental variability.</span></p><p><span>Conclusions</span></p><p><span>Finally, we discuss how connecting research, forecast delivery, and management can maximize the impact of ecological forecasts on restoration success.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/rec.70179","usgsCitation":"Siegmund, G., Schlaepfer, D.R., Andrews, C.M., Bennion, L.D., Ferguson, J., Jeffries, M.I., Olwell, P., Pilliod, D.S., Simler-Williamson, A., Stears, A.E., Zweng, R., and Bradford, J.B., 2026, Supporting dryland restoration success with applied ecological forecasting of seeding outcomes: Restoration Ecology, v. 34, no. 2, e70179, 10 p., https://doi.org/10.1111/rec.70179.","productDescription":"e70179, 10 p.","ipdsId":"IP-174924","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":496225,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496322,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/rec.70179","text":"Publisher Index Page"}],"country":"United States","state":"Idaho, Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -117.39092636517289,\n              49.006099110584074\n            ],\n            [\n              -116.79333460121052,\n              45.5294294875054\n            ],\n            [\n              -117.1489984377446,\n              44.371156456197866\n            ],\n            [\n              -117.14078454226095,\n              42.039075029951974\n            ],\n            [\n              -120.01502417645318,\n              41.908002820258254\n            ],\n            [\n              -119.89616286979617,\n              38.9235636985031\n            ],\n            [\n              -114.45107751438549,\n              35.102603397362174\n            ],\n            [\n              -113.97781567768317,\n              41.97997252272385\n            ],\n            [\n              -111.1336450017194,\n              41.92179906925959\n            ],\n            [\n              -111.09431773284155,\n              44.535617644613275\n            ],\n            [\n              -112.6908382110276,\n              44.53933840620945\n            ],\n            [\n              -113.70199884566074,\n              45.8892229953416\n            ],\n            [\n              -115.4886171073574,\n              48.89519002524577\n            ],\n            [\n              -117.39092636517289,\n              49.006099110584074\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-09-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Siegmund, Gregor-Fausto 0000-0002-8967-8816","orcid":"https://orcid.org/0000-0002-8967-8816","contributorId":361834,"corporation":false,"usgs":true,"family":"Siegmund","given":"Gregor-Fausto","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949553,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schlaepfer, Daniel Rodolphe 0000-0001-9973-2065","orcid":"https://orcid.org/0000-0001-9973-2065","contributorId":225569,"corporation":false,"usgs":true,"family":"Schlaepfer","given":"Daniel","email":"","middleInitial":"Rodolphe","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949554,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Andrews, Caitlin M. 0000-0003-4593-1071 candrews@usgs.gov","orcid":"https://orcid.org/0000-0003-4593-1071","contributorId":192985,"corporation":false,"usgs":true,"family":"Andrews","given":"Caitlin","email":"candrews@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":949555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennion, Leland D.","contributorId":361835,"corporation":false,"usgs":false,"family":"Bennion","given":"Leland","middleInitial":"D.","affiliations":[{"id":86370,"text":"[Volunteer] U.S. Geological Survey, Forest and Rangeland Ecosystem Science Center, Boise, ID; 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,{"id":70271917,"text":"70271917 - 2026 - Cumulative effects analysis to inform public land management in the United States: Key characteristics and legal challenges","interactions":[],"lastModifiedDate":"2025-09-24T15:03:03.061932","indexId":"70271917","displayToPublicDate":"2025-09-22T09:53:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1544,"text":"Environmental Impact Assessment Review","active":true,"publicationSubtype":{"id":10}},"title":"Cumulative effects analysis to inform public land management in the United States: Key characteristics and legal challenges","docAbstract":"<p><span>Considering potential cumulative effects of proposed actions is fundamental to environmental impact analysis. However, cumulative effects analyses historically are not robust, especially for site-specific decisions. We sought to identify opportunities to strengthen cumulative effects analysis in a large United States public land management agency, the Bureau of Land Management (BLM). We asked 1) how cumulative effects analyses were legally challenged, 2) how site-specific cumulative effects analyses aligned with policy and compared to the broader-scale analyses to which they tiered, and 3) whether characteristics of cumulative effects analyses varied with category of proposed action, type of resource, or agency office. We used thematic analysis to assess litigation and appeals case documents finalized from 2010 to 2020 and a set of document analysis questions to assess National Environmental Policy Act (NEPA) analyses for BLM decisions completed prior to 2020 in Alaska and Colorado. We found that legal challenges related to cumulative effects focused on absence of cumulative effects analysis. In NEPA analyses, cumulative effects were frequently considered, but elements recommended in policy, such as citations, methods, and scope, were rarely included. These elements were present more often in the broader analyses to which site-specific analyses tiered. Many elements of cumulative effects analyses varied by proposed action and BLM office, and analyses of potential cumulative effects on air quality were consistently more detailed than for other resources. Our results suggest that many problems that historically plagued cumulative effects analysis persist. Advances in methods, training, and guidance could strengthen the defensibility of NEPA analyses.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.eiar.2025.108158","usgsCitation":"Rutherford, T.K., Hammond, T.O., Foster, A., Gilbert, M.A., Haby, T.S., Lehrter, R.J., Meineke, J., Samuel, E.M., and Carter, S.K., 2026, Cumulative effects analysis to inform public land management in the United States: Key characteristics and legal challenges: Environmental Impact Assessment Review, v. 117, 108158, 12 p., https://doi.org/10.1016/j.eiar.2025.108158.","productDescription":"108158, 12 p.","ipdsId":"IP-172121","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":496152,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.eiar.2025.108158","text":"Publisher Index 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K.","affiliations":[{"id":79165,"text":"USGS, currently with Colorado State University","active":true,"usgs":false}],"preferred":false,"id":949372,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Samuel, Ella M. 0000-0001-5085-7369","orcid":"https://orcid.org/0000-0001-5085-7369","contributorId":300515,"corporation":false,"usgs":true,"family":"Samuel","given":"Ella","email":"","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":65185,"text":"School of Earth and Sustainability, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false}],"preferred":true,"id":949373,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":949374,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70274049,"text":"70274049 - 2026 - Population and outmigration characteristics of juvenile Bull Trout in a montane ecosystem","interactions":[],"lastModifiedDate":"2026-02-20T16:03:39.774611","indexId":"70274049","displayToPublicDate":"2025-09-22T09:46:16","publicationYear":"2026","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":"Population and outmigration characteristics of juvenile Bull Trout in a montane ecosystem","docAbstract":"<p><span>Bull Trout&nbsp;</span><i>Salvelinus confluentus</i><span>&nbsp;is a federally threatened species in the conterminous United States. Although some populations are stable or increasing, Bull Trout in the United States Fish and Wildlife Service's designated Coeur d'Alene Core Area in Idaho have experienced substantial declines in abundance. Today, the remaining extant population in the Coeur d'Alene Core Area returns to the headwaters of the St. Joe River to spawn. The population has been monitored annually since 1992 using spawning ground surveys, but little is known about early life stages in the system. The objective of our research was to evaluate the distribution and abundance, age and size structure, habitat associations, and outmigration characteristics of juvenile Bull Trout in the upper St. Joe River basin. In 2022–2023, we sampled 200 stream reaches on the mainstem St. Joe River and four tributaries (Heller, Medicine, Sherlock, and Wisdom creeks). We sampled 1,529 Bull Trout varying in length from 29−257 mm in total length (TL; mean ± SD; 108 ± 44 mm). Population estimates suggested there were 1,841 (95% CI = 1,188−2,494) juvenile Bull Trout in the study area in 2022 and 2,388 (1,646−3,130) in 2023. Regression models indicated that abundance was positively related to canopy cover, amount of large substrate, amount of large woody debris, and amount of gravel, and negatively related to water temperature. We tagged 1,142 fish with passive integrated transponders (PIT) and detected 163 (14%) of these fish using a stationary tag array that was operational during June or July through October. Peak autumn outmigration occurred in October of both sampling years. Of the fish that were detected moving, age varied from 1−4 years, but age-1 and age-2 fish were more commonly detected moving downstream compared to other age classes. This study provides important information on the ecology of juvenile Bull Trout that can be used to guide conservation and recovery efforts in montane ecosystems. Furthermore, juvenile Bull Trout in the upper St. Joe River basin were present at similar densities and experienced growth rates similar to more robust adfluvial populations (e.g., Lake Pend Oreille, Idaho), thereby indicating that factors contributing to the low abundance of adults are not likely occurring in the headwaters of the St. Joe River. Thus, conservation efforts may be more successful if they are focused on the migration corridor and Coeur d'Alene Lake.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70116","usgsCitation":"Unsworth, J.S., Dux, A.M., Camacho, C., Quist, M., 2026, Population and outmigration characteristics of juvenile Bull Trout in a montane ecosystem: Journal of Wildlife Management, v. 89, no. 8, e70116, 23 p., https://doi.org/10.1002/jwmg.70116.","productDescription":"e70116, 23 p.","ipdsId":"IP-170382","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Coeur d'Alene Core Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -115.22361225215305,\n              47.08412632487631\n            ],\n            [\n              -115.22361225215305,\n              47.00623690882796\n            ],\n            [\n              -115.09,\n              47.00623690882796\n            ],\n            [\n              -115.09,\n              47.08412632487631\n            ],\n            [\n              -115.22361225215305,\n              47.08412632487631\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"89","issue":"8","noUsgsAuthors":false,"publicationDate":"2025-09-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Unsworth, James S.","contributorId":366864,"corporation":false,"usgs":false,"family":"Unsworth","given":"James","middleInitial":"S.","affiliations":[],"preferred":false,"id":956296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dux, Andrew M.","contributorId":175256,"corporation":false,"usgs":false,"family":"Dux","given":"Andrew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":956297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camacho, Carlos A.","contributorId":348841,"corporation":false,"usgs":false,"family":"Camacho","given":"Carlos A.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":956298,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":956299,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70271740,"text":"70271740 - 2026 - Effects of dietary selenium on the amphipod Hyalella azteca and the midge Chironomus dilutus","interactions":[],"lastModifiedDate":"2026-01-05T16:44:41.081696","indexId":"70271740","displayToPublicDate":"2025-09-18T07:58:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Effects of dietary selenium on the amphipod <i>Hyalella azteca</i> and the midge <i>chironomus dilutus</i>","title":"Effects of dietary selenium on the amphipod Hyalella azteca and the midge Chironomus dilutus","docAbstract":"<p><span>Chronic selenium (Se) water quality criteria are based primarily on dietary organoselenium exposure and subsequent reproductive effects in fish. Available chronic Se toxicity data suggests that invertebrates are less sensitive than fish, but chronic invertebrate studies are limited. We evaluated yeast-based diets for chronic toxicity studies with&nbsp;</span><i>Hyalella azteca</i><span>&nbsp;and&nbsp;</span><i>Chironomus dilutus.</i><span>&nbsp;Growth and survival were similar among&nbsp;</span><i>C. dilutus</i><span>&nbsp;fed a yeast-only diet, a mixture of yeast and fish flake food, and a mixture of yeast and diatoms. Survival and growth of&nbsp;</span><i>H. azteca</i><span>&nbsp;were best in the yeast + diatom diet, so this diet was used for subsequent tests. In rangefinder tests,&nbsp;</span><i>H. azteca</i><span>&nbsp;28-day survival, growth, and biomass, and&nbsp;</span><i>C. dilutus</i><span>&nbsp;11-day survival were all significantly reduced at a dietary Se concentration of 49 µg/g dry weight, whereas&nbsp;</span><i>C. dilutus</i><span>&nbsp;growth and biomass were only affected at 200 µg/g dry weight Se.&nbsp;</span><i>H. azteca</i><span>&nbsp;had similar sensitivity to dietary Se in a 28–42-day chronic test—survival, growth, and biomass were significantly reduced at 44.5 µg/g dry weight Se. Dietary selenium reduced&nbsp;</span><i>H. azteca</i><span>&nbsp;reproduction by 75%–100% relative to Controls, but differences were not significant.</span></p><p><span>Tissue Se EC10s were lower for&nbsp;<i>H. azteca</i>&nbsp;(9.0–23 µg/g dry weight) than for&nbsp;<i>C. dilutus</i>&nbsp;(11–56 µg/g dry weight). However, model evaluations suggest that the&nbsp;<i>C. dilutus</i>&nbsp;11-day survival and&nbsp;<i>H. azteca</i>&nbsp;42-day EC10s were less reliable than other endpoints. When tissue EC10s were converted to equivalent Se concentrations in fish tissue with a food web model,&nbsp;<i>H. azteca</i>&nbsp;(18 µg/g dry weight) and C<i>. dilutus</i>&nbsp;(68 µg/g dry weight) ranked 6th and 12th of 13 freshwater genera, respectively. Overall, these results suggest that the current U.S. Environmental Protection Agency tissue-based Se water quality criteria would be protective for fish and invertebrates and could be used for management of fishless waters.</span></p>","language":"English","publisher":"Society and Environmental Toxicology and Chemistry","doi":"10.1093/etojnl/vgaf231","usgsCitation":"Besser, J.M., Cleveland, D.M., Harper, D.D., Dorman, R.A., and Farag, A., 2026, Effects of dietary selenium on the amphipod Hyalella azteca and the midge Chironomus dilutus: Environmental Toxicology and Chemistry, v. 45, no. 1, p. 103-113, https://doi.org/10.1093/etojnl/vgaf231.","productDescription":"11 p.","startPage":"103","endPage":"113","ipdsId":"IP-167676","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":495901,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Besser, John M. 0000-0002-9464-2244 jbesser@usgs.gov","orcid":"https://orcid.org/0000-0002-9464-2244","contributorId":2073,"corporation":false,"usgs":true,"family":"Besser","given":"John","email":"jbesser@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":949247,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cleveland, Danielle M. 0000-0003-3880-4584 dcleveland@usgs.gov","orcid":"https://orcid.org/0000-0003-3880-4584","contributorId":187471,"corporation":false,"usgs":true,"family":"Cleveland","given":"Danielle","email":"dcleveland@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":949248,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harper, David D. 0000-0001-7061-8461 david_harper@usgs.gov","orcid":"https://orcid.org/0000-0001-7061-8461","contributorId":1140,"corporation":false,"usgs":true,"family":"Harper","given":"David","email":"david_harper@usgs.gov","middleInitial":"D.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":false,"id":949301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dorman, Rebecca A. 0000-0002-5748-7046","orcid":"https://orcid.org/0000-0002-5748-7046","contributorId":28522,"corporation":false,"usgs":true,"family":"Dorman","given":"Rebecca","email":"","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":949302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Farag, Aida 0000-0003-4247-6763 aida_farag@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6763","contributorId":200690,"corporation":false,"usgs":true,"family":"Farag","given":"Aida","email":"aida_farag@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":949251,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70272602,"text":"70272602 - 2026 - Factors influencing spatial and temporal patterns of Lanius ludovicianus (Loggerhead Shrike) occupancy at a grassland-sagebrush ecotone","interactions":[],"lastModifiedDate":"2026-03-09T14:38:41.474253","indexId":"70272602","displayToPublicDate":"2025-09-11T09:55:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9101,"text":"Ornithological Applications","printIssn":"0010-5422","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Factors influencing spatial and temporal patterns of <i>Lanius ludovicianus</i> (Loggerhead Shrike) occupancy at a grassland-sagebrush ecotone","title":"Factors influencing spatial and temporal patterns of Lanius ludovicianus (Loggerhead Shrike) occupancy at a grassland-sagebrush ecotone","docAbstract":"<p><i>Lanius ludovicianus</i><span>&nbsp;(Loggerhead Shrike) is a predatory songbird that has experienced a severe population decline throughout its range since the 1940s, likely driven by a combination of factors, including habitat loss and fragmentation. Occupying larger territories compared to many other passerines,&nbsp;</span><i>L. ludovicianus</i><span>&nbsp;requires open habitat with interspersed trees and shrubs for nesting and perching and heterogeneous ground cover that provides hunting opportunities. Despite the general knowledge of&nbsp;</span><i>L. ludovicianus</i><span>&nbsp;habitat during breeding and nonbreeding seasons in many parts of its range, factors influencing long-term occupancy dynamics remain poorly understood. We addressed these knowledge gaps by analyzing 10 yr of&nbsp;</span><i>L. ludovicianus</i><span>&nbsp;detection data collected from breeding bird point-count surveys at a grassland-sagebrush ecotone in northeastern Wyoming, USA. We quantified&nbsp;</span><i>L. ludovicianus</i><span>&nbsp;detection and occupancy probabilities using a dynamic (multi-season) occupancy modeling framework and evaluated how initial occupancy and dynamic parameters (i.e., colonization and local extinction) were influenced by land-cover composition and change using remotely sensed land-cover data. Additionally, we used observer survey data to assess the influence of survey date and cloud cover on detection probability. We found that detection probability was influenced by survey date, while initial occupancy probability was positively associated with fences and presence of trees. Colonization probability increased with increased litter cover, whereas extinction probability was not influenced by land-cover and remained low throughout our study period. These findings highlight the importance of habitat features, such as fences and tree presence in shaping&nbsp;</span><i>L. ludovicianus</i><span>&nbsp;occupancy patterns. Further research is needed to understand the relationships between&nbsp;</span><i>L. ludovicianus</i><span>&nbsp;occupancy dynamics and demographic processes such as reproduction and survival. Identifying factors that influence occupancy dynamics and associated demographic processes can guide efforts to conserve and sustain&nbsp;</span><i>L. ludovicianus</i><span>&nbsp;populations.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithapp/duaf055","usgsCitation":"Todaro, H.M., Loss, S.R., Lonsinger, R.C., and Duchardt, C.J., 2026, Factors influencing spatial and temporal patterns of Lanius ludovicianus (Loggerhead Shrike) occupancy at a grassland-sagebrush ecotone: Ornithological Applications, v. 128, no. 1, p. 1-13, https://doi.org/10.1093/ornithapp/duaf055.","productDescription":"13 p.","startPage":"1","endPage":"13","ipdsId":"IP-176617","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":496828,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496931,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithapp/duaf055","text":"Publisher Index Page"}],"volume":"128","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Todaro, Holly M.","contributorId":362971,"corporation":false,"usgs":false,"family":"Todaro","given":"Holly","middleInitial":"M.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":950890,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Loss, Scott R.","contributorId":362972,"corporation":false,"usgs":false,"family":"Loss","given":"Scott","middleInitial":"R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":950891,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lonsinger, Robert Charles 0000-0002-1040-7299","orcid":"https://orcid.org/0000-0002-1040-7299","contributorId":340524,"corporation":false,"usgs":true,"family":"Lonsinger","given":"Robert","email":"","middleInitial":"Charles","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":950892,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duchardt, Courtney J.","contributorId":362975,"corporation":false,"usgs":false,"family":"Duchardt","given":"Courtney","middleInitial":"J.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":950893,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70271383,"text":"70271383 - 2026 - Revisiting seismological discoveries of the inner core","interactions":[],"lastModifiedDate":"2025-12-16T14:25:25.182912","indexId":"70271383","displayToPublicDate":"2025-09-10T09:54:09","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Revisiting seismological discoveries of the inner core","docAbstract":"<div class=\"widget widget-SplitView widget-instance-SplitView_Article\"><div class=\"article js-content-splitview splitview-scroll\"><div class=\"widget widget-ArticleMainView widget-instance-ArticleMainView_Split\"><div class=\"content-inner-wrap\"><div class=\"article-body\"><div id=\"ContentTab\" class=\"content active\"><div class=\"widget widget-ArticleFulltext widget-instance-ArticleFulltext_Split\"><div class=\"module-widget\"><div class=\"widget-items\" data-widgetname=\"ArticleFulltext\"><span data-mce-style=\"font-size: 14px;\">Seismology has been used as a tool for understanding the current physical properties of the interior of the Earth and its dynamic evolution with remarkable success over the last century. Much of this progress is due to the ever‐expanding set of high‐quality quantitative observations of teleseismic waveforms recorded at seismographic stations worldwide. In this work, we revisit historical seismological studies that helped first identify a core distinct in physical properties from the overlying mantle, followed by the detection of an inner core that was eventually verified to be solid based on normal‐mode eigenperiods. Along with a brief overview of past studies of the Earth’s inner core, we examine the reproducibility of these results and discuss how historical data compare against modern observations. After accounting for past normal‐mode misidentifications, we confirm that introducing a solid inner core is required to afford significant improvements in fits to both radial modes and core‐sensitive spheroidal overtones. Strong shear dissipation in the inner core of the radial reference Earth model, REM1D (</span><span class=\"inline-formula no-formula-id\" data-mce-style=\"font-size: 14px;\">⁠⁠<i>Q</i><sub>u</sub> = 89.54</span><span data-mce-style=\"font-size: 14px;\">), fits the reference datasets of both normal‐mode eigenperiods and quality factors accounting for physical dispersion. Because a liquid region would only have bulk dissipation, a narrow range of low</span><span data-mce-style=\"font-size: 14px;\"> <span class=\"inline-formula no-formula-id\"><i>Q</i><sub>u</sub></span></span><span data-mce-style=\"font-size: 14px;\">&nbsp;</span><span data-mce-style=\"font-size: 14px;\">values that are preferred by the reference datasets affords additional evidence of a solid inner core. In addition, we find that there is little systematic bias in the timing accuracy of historical data, although large variances exist. Investigations into the temperature, composition, and evolution of the inner core, as well as the reproducibility of past studies, can benefit from the reconciliation of historical and modern seismological datasets.</span></div></div></div></div></div></div></div></div></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250069","usgsCitation":"Ringler, A.T., Moulik, P., Lee, T.A., Wilson, D.C., and Anthony, R.E., 2026, Revisiting seismological discoveries of the inner core: Seismological Research Letters, v. 97, no. 1, p. 451-470, https://doi.org/10.1785/0220250069.","productDescription":"20 p.","startPage":"451","endPage":"470","ipdsId":"IP-175861","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":495720,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250069","text":"Publisher Index Page"},{"id":495317,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-09-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":948331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moulik, Pritwiraj","contributorId":361177,"corporation":false,"usgs":false,"family":"Moulik","given":"Pritwiraj","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":948332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Thomas A.","contributorId":360603,"corporation":false,"usgs":false,"family":"Lee","given":"Thomas","middleInitial":"A.","affiliations":[{"id":6644,"text":"Princeton University","active":true,"usgs":false}],"preferred":false,"id":948333,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":948334,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anthony, Robert 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":948335,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70274693,"text":"70274693 - 2026 - Total uncertainty quantification in inverse solutions with deep learning surrogate models","interactions":[],"lastModifiedDate":"2026-04-06T14:33:15.831269","indexId":"70274693","displayToPublicDate":"2025-09-08T09:27:33","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2228,"text":"Journal of Computational Physics","active":true,"publicationSubtype":{"id":10}},"title":"Total uncertainty quantification in inverse solutions with deep learning surrogate models","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"abs0001\" class=\"abstract author\"><div id=\"abssec0001\"><div id=\"sp0001\" class=\"u-margin-s-bottom\">We propose an approximate Bayesian method for quantifying the total uncertainty in inverse partial differential equation (PDE) solutions obtained with machine learning surrogate models, including operator learning models. The proposed method accounts for uncertainty in the observations, PDE, and surrogate models. First, we use the surrogate model to formulate a minimization problem in the reduced space for the maximum a posteriori (MAP) inverse solution. Then, we randomize the MAP objective function and obtain samples of the posterior distribution by minimizing different realizations of the objective function. We test the proposed framework by comparing it with the iterative ensemble smoother and deep ensembling methods for a nonlinear diffusion equation with an unknown space-dependent diffusion coefficient. Among other applications, this equation describes the flow of groundwater in an unconfined aquifer. Depending on the training dataset and ensemble sizes, the proposed method provides similar or more descriptive posteriors of the parameters and states than the iterative ensemble smoother method. Deep ensembling underestimates uncertainty and provides less-informative posteriors than the other two methods. Our results show that, despite inherent uncertainty, surrogate models can be used for parameter and state estimation as an alternative to the inverse methods relying on (more accurate) numerical PDE solvers.</div></div></div></div><ul id=\"issue-navigation\" class=\"issue-navigation u-margin-s-bottom u-bg-grey1\"></ul>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jcp.2025.114315","usgsCitation":"Wang, Y., McCreight, J.L., Hughes, J.D., and Tartakovsky, A., 2026, Total uncertainty quantification in inverse solutions with deep learning surrogate models: Journal of Computational Physics, v. 541, 114315, 16 p., https://doi.org/10.1016/j.jcp.2025.114315.","productDescription":"114315, 16 p.","ipdsId":"IP-179243","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":502470,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jcp.2025.114315","text":"Publisher Index Page"},{"id":502202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"541","noUsgsAuthors":false,"publicationDate":"2025-09-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Wang, Yuanzhe 0000-0001-9206-6573","orcid":"https://orcid.org/0000-0001-9206-6573","contributorId":369260,"corporation":false,"usgs":false,"family":"Wang","given":"Yuanzhe","affiliations":[{"id":36403,"text":"University of Illinois","active":true,"usgs":false}],"preferred":false,"id":958714,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCreight, James Lucian 0000-0001-6018-425X","orcid":"https://orcid.org/0000-0001-6018-425X","contributorId":369262,"corporation":false,"usgs":true,"family":"McCreight","given":"James","middleInitial":"Lucian","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":958715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Joseph D. 0000-0003-1311-2354","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":369270,"corporation":false,"usgs":false,"family":"Hughes","given":"Joseph","middleInitial":"D.","affiliations":[{"id":63339,"text":"Intera","active":true,"usgs":false}],"preferred":false,"id":958716,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tartakovsky, Alexandre 0000-0003-2375-318X","orcid":"https://orcid.org/0000-0003-2375-318X","contributorId":317072,"corporation":false,"usgs":false,"family":"Tartakovsky","given":"Alexandre","email":"","affiliations":[{"id":68930,"text":"Civil and Environmental Engineering, University of Illinois, Urbana Champaign, IL, USA","active":true,"usgs":false}],"preferred":false,"id":958717,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
]}