{"pageNumber":"2","pageRowStart":"25","pageSize":"25","recordCount":4111,"records":[{"id":70273800,"text":"70273800 - 2026 - An entropic explanation for Gutenberg-Richter scaling","interactions":[],"lastModifiedDate":"2026-02-02T20:26:15.963383","indexId":"70273800","displayToPublicDate":"2026-01-10T08:43:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7501,"text":"JGR Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"An entropic explanation for Gutenberg-Richter scaling","docAbstract":"<p>We develop a simple explanation for Gutenberg-Richter (G-R) size scaling of earthquakes on a single fault. We discretize the fault and consider all possible contiguous ruptures at that level of discretization. In this static model, we assume that slip scales with rupture length, and that the rupture rates at each point along the fault are consistent with an a priori long-term slip rate. These simple assumptions define an (under-determined) non-negative least-squares inverse problem. Each solution to this inverse problem is a set of earthquake rates that matches the slip-rate constraint. We use a Markov Chain Monte Carlo (MCMC) algorithm to uniformly sample the solution space assuming constant slip rates along the fault. At finer discretizations, deviations from G-R behavior decrease, which is consistent with an entropic pressure towards G-R solutions. When the fault is discretized into 10 or more segments, random solutions found by the MCMC algorithm have G-R size scaling, even though there are trivial solutions that, for example, have earthquakes of only one size. This is because there are simply far more solutions that have G-R scaling; as the problem size increases, the strong degeneracy of GR solutions results in other solutions becoming improbably rare. Also, the entropically favored G-R distribution has a <i>b</i>-value of approximately 1, which agrees with measured <i>b</i>-values in real earthquake catalogs.</p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025JB032719","usgsCitation":"Page, M.T., and Field, E.H., 2026, An entropic explanation for Gutenberg-Richter scaling: JGR Solid Earth, v. 131, no. 1, e2025JB032719, 10 p., https://doi.org/10.1029/2025JB032719.","productDescription":"e2025JB032719, 10 p.","ipdsId":"IP-176974","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":499351,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"131","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Page, Morgan T. 0000-0001-9321-2990 mpage@usgs.gov","orcid":"https://orcid.org/0000-0001-9321-2990","contributorId":3762,"corporation":false,"usgs":true,"family":"Page","given":"Morgan","email":"mpage@usgs.gov","middleInitial":"T.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":954864,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":954865,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273459,"text":"70273459 - 2026 - Tectonic implications of transitional melting regimes from petrological, geochronological, and compositional characterization of the ophiolitic Seventymile terrane, Alaska, USA","interactions":[],"lastModifiedDate":"2026-04-06T15:43:42.592143","indexId":"70273459","displayToPublicDate":"2026-01-06T08:06:52","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Tectonic implications of transitional melting regimes from petrological, geochronological, and compositional characterization of the ophiolitic Seventymile terrane, Alaska, USA","docAbstract":"<p><span>New geochemical, U-Pb geochronology, and Sr-Nd-Hf isotope data provide evidence for the tectonic evolution of the Seventymile terrane in interior Alaska, USA. Ultramafic and mafic rocks of the Seventymile terrane are thought to represent components of a dismembered ophiolite and provide unique constraints on regional terrane evolution and accretion. The Seventymile ophiolite represents fragments of the Devonian to Permian Slide Mountain Ocean (SMO) that separated allochthonous and parautochthonous continental fragments of western North America. It now occurs as multiple thrust sheets containing Permian mafic and ultramafic rocks overlying and/or possibly imbricated with amphibolite-facies supracrustal rocks of allochthonous Yukon-Tanana terrane and parautochthonous North America. Seventymile klippen contain variably serpentinized peridotite, primarily harzburgite, low-grade meta-mafic rocks, and minor oceanic sedimentary rocks (argillite, chert, limestone, and metasandstone). Mafic rocks include gabbro to diabase, typically as dikes, veinlets, or rare massive stocks intruding peridotite. Mafic rocks also include greenstones of the Seventymile assemblage in klippen structurally underlying, and in shear zone contact with, ultramafic klippen.</span></p><p><span>New trace element and radiogenic isotope data from mafic magmatic rocks associated with the Seventymile ultramafic bodies show evidence for a weakly subduction-modified mantle source, like the mantle source of normal mid-ocean-ridge basalt (N-MORB) or back-arc basin basalt (BABB). Seventymile assemblage greenstones are more heterogeneous. They range from N-MORB to enriched mid-ocean-ridge basalt (E-MORB) and ocean-island basalt (OIB), with a subset of samples indicative of continental arc affinity. These geochemistry results indicate that distinct tectonic environments are represented by at least two, and possibly three, lithological and structural units comprising the Seventymile terrane. Hf-Nd isotope systematics are consistent with a depleted MORB mantle (DMM)−like component that overlaps with Pacific MORB. Primary zircon is rare, but new in situ U-Pb data for gabbro and greenstone indicate ca. 274−272 Ma peak zircon and titanite crystallization. Scattered younger zircons define a ca. 255 Ma zircon peak and correspond to secondary crystallization associated with baddeleyite reaction of high-Si fluids during low-grade metamorphism. If Seventymile suites are contemporaneous, obduction associated with the closure of the SMO resulted in the stacking of ophiolitic packages representing distinct tectonomagmatic settings across the transition from pericontinental, to epicontinental, to distal ocean back-arc. Intrusions hosted in klippe of ultramafic rocks, plus the least subduction-modified greenstones underlying them, geologically and compositionally resemble Slide Mountain rocks of the Campbell Range formation in eastern Yukon and may provide a new piercing point across the Tintina fault.</span></p>","language":"English","publisher":"GeoScienceWorld","doi":"10.1130/GES02837.1","usgsCitation":"Todd, E., Caine, J., Bizimis, M., Kylander-Clark, A.R., Hammond, R.R., and Wypych, A., 2026, Tectonic implications of transitional melting regimes from petrological, geochronological, and compositional characterization of the ophiolitic Seventymile terrane, Alaska, USA: Geosphere, v. 22, no. 2, p. 296-339, https://doi.org/10.1130/GES02837.1.","productDescription":"44 p.","startPage":"296","endPage":"339","ipdsId":"IP-170876","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":498608,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":498699,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02837.1","text":"Publisher Index Page"}],"country":"Canada, United States","state":"Alaska, British Columbia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -151.54814578278632,\n              64.49262655255515\n            ],\n            [\n              -151.54814578278632,\n              59.59805672240421\n            ],\n            [\n              -133.60437046462778,\n              59.59805672240421\n            ],\n            [\n              -133.60437046462778,\n              64.49262655255515\n            ],\n            [\n              -151.54814578278632,\n              64.49262655255515\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-01-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Todd, Erin 0000-0002-4871-9730 etodd@usgs.gov","orcid":"https://orcid.org/0000-0002-4871-9730","contributorId":202811,"corporation":false,"usgs":true,"family":"Todd","given":"Erin","email":"etodd@usgs.gov","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":953782,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":953783,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bizimis, Michael","contributorId":192879,"corporation":false,"usgs":false,"family":"Bizimis","given":"Michael","email":"","affiliations":[],"preferred":false,"id":953784,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kylander-Clark, Andrew R.C. 0000-0002-4034-644X","orcid":"https://orcid.org/0000-0002-4034-644X","contributorId":302380,"corporation":false,"usgs":false,"family":"Kylander-Clark","given":"Andrew","middleInitial":"R.C.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":953785,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hammond, Robert Reece","contributorId":365154,"corporation":false,"usgs":false,"family":"Hammond","given":"Robert","middleInitial":"Reece","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":953786,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wypych, Alicja","contributorId":216040,"corporation":false,"usgs":false,"family":"Wypych","given":"Alicja","email":"","affiliations":[{"id":39354,"text":"State of Alaska Department of Natural Resources DGGS Fairbanks","active":true,"usgs":false}],"preferred":false,"id":953787,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70274077,"text":"70274077 - 2026 - Population densities and trends of landbirds in the National Park of American Samoa","interactions":[],"lastModifiedDate":"2026-02-23T16:05:35.510459","indexId":"70274077","displayToPublicDate":"2026-01-01T09:57:30","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18517,"text":"Science Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"NPS/SR-2026/377","title":"Population densities and trends of landbirds in the National Park of American Samoa","docAbstract":"<p>The National Park of American Samoa (NPSA), which protects some of the most intact tropical rainforest in the South Pacific, is exposed to recurring, intense tropical cyclones, including Tropical Cyclone Gita in 2018. In combination with other anthropogenic pressures, cyclones represent a potential source of disturbance to landbird populations, particularly native frugivorous and seed-dispersing species. Long-term monitoring provides a means to evaluate population trajectories following disturbance events and to identify potential management gaps. Landbird surveys were conducted in the Tutuila and Taʻū units of NPSA in 2011, 2018, and 2023 using point-transect distance sampling, with vegetation composition and structure quantified at each sampling station. Species-specific detection functions were fitted to count data to estimate densities by unit, with variance estimated using bootstrap procedures. Comparisons of 2018 and 2023 density estimates using two-sample z-tests indicated that changes in most landbird populations were inconclusive. Since 2018, increases in density were observed for the Pacific Imperial Pigeon (<i>Ducula pacifica</i>) and Crimson-crowned Fruit Dove (<i>Ptilinopus porphyraceus</i>) on Tutuila, while decreases were observed for the Pacific Kingfisher (<i>Todiramphus sacer</i>) on Tutuila, and for the Polynesian Wattled Honeyeater (<i>Foulehaio carunculatus</i>), Polynesian Starling (<i>Aplonis tabuensis</i>), and Samoan Starling (<i>Aplonis atrifusca</i>) on Taʻū. The Many-colored Fruit Dove (<i>Ptilinopus perousii</i>) remained rare in both units, and the Manuʻa Shrikebill (Clytorhynchus vitiensis powelli) was narrowly distributed on Taʻū, with insufficient detections of either species to estimate density. The cryptic Spotless Crake (<i>Zapornia tabuensis</i>) was detected only in 2018. Changes in tree canopy cover and height did not exhibit patterns clearly associated with a major disturbance event and likely reflected differences in sampling frames among surveys. Invasive non-native plants, most notably <i>Miconia crenata</i>, were widespread in both units. Although many landbird populations in NPSA remain abundant, inference from current monitoring is constrained by limited information on vital rates and species-specific responses to invasive species, disease, habitat change, and extreme weather. As climate change is projected to increase tropical cyclone intensity in the South Pacific, sustained monitoring and targeted management will be important for understanding and conserving landbird populations in American Samoa.&nbsp;</p>","language":"English","publisher":"National Park Service","doi":"10.36967/2316674","usgsCitation":"Hunt, N., Judge, S., Camp, R.J., 2026, Population densities and trends of landbirds in the National Park of American Samoa: Science Report NPS/SR-2026/377, xi, 79 p., https://doi.org/10.36967/2316674.","productDescription":"xi, 79 p.","ipdsId":"IP-174526","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":500412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"National Park of American Samoa, Ta'u, Tutuila","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -170.89596699989136,\n              -14.17346219088654\n            ],\n            [\n              -170.89596699989136,\n              -14.400947786592383\n            ],\n            [\n              -170.47894716767155,\n              -14.400947786592383\n            ],\n            [\n              -170.47894716767155,\n              -14.17346219088654\n            ],\n            [\n              -170.89596699989136,\n              -14.17346219088654\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -169.39051734301117,\n              -14.192613255926261\n            ],\n            [\n              -169.5245407615402,\n              -14.192613255926261\n            ],\n            [\n              -169.5245407615402,\n              -14.286383192427323\n            ],\n            [\n              -169.39051734301117,\n              -14.286383192427323\n            ],\n            [\n              -169.39051734301117,\n              -14.192613255926261\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hunt, Noah J. 0009-0008-9859-7007","orcid":"https://orcid.org/0009-0008-9859-7007","contributorId":357746,"corporation":false,"usgs":false,"family":"Hunt","given":"Noah J.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":956451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Judge, Seth 0000-0003-3832-3246","orcid":"https://orcid.org/0000-0003-3832-3246","contributorId":189965,"corporation":false,"usgs":false,"family":"Judge","given":"Seth","email":"","affiliations":[],"preferred":false,"id":956452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":956453,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272730,"text":"70272730 - 2026 - Hosts, pathogens and hot ponds: Thermal mean and variability contribute to spatial patterns of chytrid infection","interactions":[],"lastModifiedDate":"2026-02-09T16:13:12.344243","indexId":"70272730","displayToPublicDate":"2025-11-24T08:27:37","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2939,"text":"Oikos","active":true,"publicationSubtype":{"id":10}},"title":"Hosts, pathogens and hot ponds: Thermal mean and variability contribute to spatial patterns of chytrid infection","docAbstract":"<p><span>Temperature is a primary driver of heterogeneity in host–pathogen dynamics and understanding how patch-scale temperature affects landscape-scale patterns of pathogen infection is key to effective monitoring and management. In field studies, both temperature variability and mean temperature are often related to infection of ectothermic animals by fungal pathogens, and although these factors vary spatiotemporally, their contributions to infection outcomes are rarely decomposed into spatial and temporal components. We studied how patch-scale thermal conditions (mean and variability) affect infection of eastern newts&nbsp;</span><i>Notophthalmus viridescens</i><span>&nbsp;by&nbsp;</span><i>Batrachochytrium dendrobatidis</i><span>&nbsp;(</span><i>Bd</i><span>), with a special focus on disentangling spatial versus temporal contributions of thermal conditions to infection outcomes. We measured in situtemperature and&nbsp;</span><i>Bd</i><span>&nbsp;infection across 20 ponds in two years in southeastern Wisconsin, USA to 1) understand thermal mediation of infection and 2) quantify whether seasonal and/or among-site variation in thermal conditions drive heterogeneity in host–pathogen interactions. In our system, thermal mean and variability covaried tightly, necessitating the creation of a single index to capture both components. We found that 1) this index of thermal mean and variability was strongly and nonlinearly related to&nbsp;</span><i>Bd</i><span>&nbsp;infection and 2) differences among patches in thermal conditions drove this relationship, highlighting that variation in patch-level conditions can drive heterogenous host–pathogen outcomes across landscapes. Our research collectively reveals insights about the importance of local, patch-level conditions for mediating disease risk at broader scales.</span></p>","language":"English","publisher":"Nordic Society Oikos","doi":"10.1002/oik.11503","usgsCitation":"Hobart, B.K., Grear, D.A., Winzeler, M., Mcdevitt-Galles, T., Korpita, T.M., Muths, E., and McKenzie, V.J., 2026, Hosts, pathogens and hot ponds: Thermal mean and variability contribute to spatial patterns of chytrid infection: Oikos, v. 2026, no. 2, e11503, 12 p., https://doi.org/10.1002/oik.11503.","productDescription":"e11503, 12 p.","ipdsId":"IP-161965","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":501963,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1WEHHZG","text":"USGS data release","linkHelpText":"Hosts, pathogens, and hot ponds: Thermal variability and heat contribute jointly to spatial patterns of chytrid infection in amphibians in southern Wisconsin, data release"},{"id":497133,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497385,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/oik.11503","text":"Publisher Index Page"}],"country":"United States","state":"Wisconsin","volume":"2026","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Hobart, Brendan K","contributorId":363337,"corporation":false,"usgs":false,"family":"Hobart","given":"Brendan","middleInitial":"K","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":951459,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":951460,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winzeler, Megan 0000-0002-0361-1582 mwinzeler@usgs.gov","orcid":"https://orcid.org/0000-0002-0361-1582","contributorId":196714,"corporation":false,"usgs":true,"family":"Winzeler","given":"Megan","email":"mwinzeler@usgs.gov","affiliations":[],"preferred":true,"id":951461,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mcdevitt-Galles, Travis 0000-0002-4929-5431","orcid":"https://orcid.org/0000-0002-4929-5431","contributorId":315374,"corporation":false,"usgs":true,"family":"Mcdevitt-Galles","given":"Travis","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":951462,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Korpita, Timothy M","contributorId":363340,"corporation":false,"usgs":false,"family":"Korpita","given":"Timothy","middleInitial":"M","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":951463,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Muths, Erin L. 0000-0002-5498-3132","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":243368,"corporation":false,"usgs":true,"family":"Muths","given":"Erin L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":951464,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKenzie, Valerie J","contributorId":363341,"corporation":false,"usgs":false,"family":"McKenzie","given":"Valerie","middleInitial":"J","affiliations":[{"id":13693,"text":"University of Colorado Boulder","active":true,"usgs":false}],"preferred":false,"id":951465,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70272762,"text":"70272762 - 2026 - Phylogenomics of endangered troglobiotic rove beetles (Coleoptera: Staphylinidae: Pselaphinae) from central Texas karst regions","interactions":[],"lastModifiedDate":"2025-12-09T14:19:48.043829","indexId":"70272762","displayToPublicDate":"2025-11-18T08:45:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Phylogenomics of endangered troglobiotic rove beetles (Coleoptera: Staphylinidae: Pselaphinae) from central Texas karst regions","docAbstract":"<p><span>The karst habitats of central Texas, USA, are home to an array of endemic subterranean-obligate (troglobiotic) invertebrates. This includes several species of rove beetles (Coleoptera: Staphylinidae: Pselaphinae). Here we developed a molecular dataset using sequence capture of Ultra-Conserved Elements (UCEs) from the Coleoptera-UCE-1.1&nbsp;K v1 baits kit. These data were used to assess species relationships and patterns of diversification in this group, specifically among species within the genera&nbsp;</span><i>Batrisodes</i><span>&nbsp;Reitter 1882</span><span>&nbsp;and&nbsp;</span><i>Texamaurops</i><span>&nbsp;Barr and Steeves 1963</span><span>; with a specific focus on the relationships of the federally listed as endangered&nbsp;</span><i>B. texanus</i><span>&nbsp;Chandler 1992</span><span>&nbsp;and&nbsp;</span><i>B.cryptotexanus</i><span>&nbsp;Chandler and Reddell 2001</span><span>. Our final datasets consisted of 69 individuals (two genera,&nbsp;</span><i>Batrisodes</i><span>&nbsp;[five species] and&nbsp;</span><i>Texamaurops</i><span>&nbsp;[one species], from 34 localities), and a molecular dataset of 658,560 aligned base pairs across 672 UCE loci. Concatenated and species-tree phylogenetic analyses resolved all troglobiotic taxa as a monophyletic group. Within the Travis and Williamson County troglobionts, we recovered four well-supported clades that generally follow hypothesized geologic barriers to dispersal formalized as karst fauna regions (KFRs). A northward pattern of diversification was observed among these groups: (A)&nbsp;</span><i>Texamaurops reddelli</i><span>&nbsp;Barr and Steeves 1963</span><span>&nbsp;(Jollyville Plateau KFR); (B)&nbsp;</span><i>Batrisodes reyesi</i><span>&nbsp;Chandler 1997</span><span>&nbsp;(West Cedar Park and Post Oak Ridge KFRs); (C)&nbsp;</span><i>B. reyesi</i><span>&nbsp;(McNeil-Round Rock KFR); (D)&nbsp;</span><i>B. cryptotexanus</i><span> + </span><i>B. texanus</i><span>&nbsp;(Georgetown and North Williamson KFRs). The morphologically defined&nbsp;</span><i>Batrisodes texanus</i><span>&nbsp;and&nbsp;</span><i>B. cryptotexanus</i><span>&nbsp;were not reciprocally monophyletic, nor clustered into two unique groups in clustering analyses of single nucleotide polymorphisms (SNPs). Rather, we found support for five major subclades and five to seven genetic clusters. These results suggest that diversification and subsequent isolation of clades may have occurred with the progressive availability of karst habitats over time in the North Williamson and Georgetown KFRs resulting from the interactions of faulting, geologic structure, and drainage basin evolution. Comparison with recent U.S. Fish and Wildlife Service cave habitat resiliency assessments indicated that four genetic clusters occur within at least partially resilient habitat, whereas three are confined to caves with low or impaired resiliency. Integrating genetic results presented here along with results of other molecular studies of co-occurring troglobiotic invertebrates supports considering additional geological substructure within the North Williamson KFR in conservation efforts for these rare and unique lineages and systems.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10592-025-01733-y","usgsCitation":"Wood, P.L., Chandler, D.S., Gladstone, N.S., Mitelberg, A., Smith, J.G., White, K., Wilson, J., and Vandergast, A.G., 2026, Phylogenomics of endangered troglobiotic rove beetles (Coleoptera: Staphylinidae: Pselaphinae) from central Texas karst regions: Conservation Genetics, v. 27, 6, 17 p., https://doi.org/10.1007/s10592-025-01733-y.","productDescription":"6, 17 p.","ipdsId":"IP-180017","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":497406,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10592-025-01733-y","text":"Publisher Index Page"},{"id":497192,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"central Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.73468272013145,\n              32.73358466173568\n            ],\n            [\n              -98.73468272013145,\n              30.565934073926556\n            ],\n            [\n              -96.59794469143151,\n              30.565934073926556\n            ],\n            [\n              -96.59794469143151,\n              32.73358466173568\n            ],\n            [\n              -98.73468272013145,\n              32.73358466173568\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"27","noUsgsAuthors":false,"publicationDate":"2025-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Perry L. Jr. 0000-0003-3767-5274","orcid":"https://orcid.org/0000-0003-3767-5274","contributorId":363405,"corporation":false,"usgs":true,"family":"Wood","given":"Perry","suffix":"Jr.","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chandler, Donald S.","contributorId":363406,"corporation":false,"usgs":false,"family":"Chandler","given":"Donald","middleInitial":"S.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":951628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gladstone, Nicholas S.","contributorId":363407,"corporation":false,"usgs":false,"family":"Gladstone","given":"Nicholas","middleInitial":"S.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":951629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitelberg, Anna 0000-0002-3309-9946 amitelberg@usgs.gov","orcid":"https://orcid.org/0000-0002-3309-9946","contributorId":218945,"corporation":false,"usgs":true,"family":"Mitelberg","given":"Anna","email":"amitelberg@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Julia G. 0000-0001-9841-1809","orcid":"https://orcid.org/0000-0001-9841-1809","contributorId":221086,"corporation":false,"usgs":true,"family":"Smith","given":"Julia","email":"","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951631,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"White, Kemble","contributorId":363408,"corporation":false,"usgs":false,"family":"White","given":"Kemble","affiliations":[{"id":86694,"text":"Cambrian Environmental","active":true,"usgs":false}],"preferred":false,"id":951632,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilson, Jenny","contributorId":363409,"corporation":false,"usgs":false,"family":"Wilson","given":"Jenny","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":951633,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Vandergast, Amy G. 0000-0002-7835-6571","orcid":"https://orcid.org/0000-0002-7835-6571","contributorId":57201,"corporation":false,"usgs":true,"family":"Vandergast","given":"Amy","middleInitial":"G.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":951634,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"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":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":70274008,"text":"70274008 - 2026 - Integrated species distribution model using historical data shows decline in a common semi-aquatic mammal","interactions":[],"lastModifiedDate":"2026-05-07T15:44:24.860787","indexId":"70274008","displayToPublicDate":"2025-09-23T08:54:13","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":774,"text":"Animal Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Integrated species distribution model using historical data shows decline in a common semi-aquatic mammal","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Effective conservation requires an understanding of drivers of a species' distribution as well as long-term changes in their distribution. In recent decades, advances in data collection and analysis have allowed researchers to integrate a wide range of information to model species distributions, particularly by allowing presence-only data and detection-nondetection data to be formally combined in integrated species distribution models (ISDMs). However, these models are rarely used to investigate long-term trends, which are important in evaluating a species' status. Here, we use historical presence-only data of river otters (</span><i>Lontra canadensis</i><span>; 366 latrine locations from 1999 to 2007 and 105 locations of road-killed individuals recorded from 1999 to 2020) and 919 detection-nondetection surveys from 230 sites between 2021 and 2023 to understand the current distribution of river otters in Rhode Island, USA, as well as the changes in river otter distribution over the past two decades. We found that river otters were strongly associated with key habitat features such as streams and water, positively associated with urban areas, and tolerant of some contaminants, such as lead. Furthermore, despite uncertainties in historical river otter occurrence, we found clear supporting evidence that river otter intensity of use had declined from 1999 to 2023. This decline occurred despite being protected from harvest and in contrast to range expansions in other parts of the northeastern USA throughout the second half of the 20th century. Our results suggest the utility of this approach to detect declines in species for which historical data are available and a need for better understanding the cause of river otter declines. Where monitoring consists of opportunistically collected data, species conservation could benefit by continuing to collect these data as well as introducing designed surveys, as this would allow better integration of data types, improving trend estimation and reducing the amount of (typically more expensive) designed surveys needed.</span></span></p>","language":"English","publisher":"Zoological Society of London","doi":"10.1111/acv.70036","usgsCitation":"Crockett, J.G., Brown, C.B., and Gerber, B., 2026, Integrated species distribution model using historical data shows decline in a common semi-aquatic mammal: Animal Conservation, v. 29, no. 2, p. 212-227, https://doi.org/10.1111/acv.70036.","productDescription":"16 p.","startPage":"212","endPage":"227","ipdsId":"IP-178855","costCenters":[{"id":200,"text":"Coop Res Unit 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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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     ],\n              [\n                -163.349027,\n                59.81989\n              ],\n              [\n                -164.079837,\n                59.828034\n              ],\n              [\n                -164.1916,\n                60.024496\n              ],\n              [\n                -165.129403,\n                60.433707\n              ],\n              [\n                -164.961439,\n                60.508391\n              ],\n              [\n                -165.362975,\n                60.506866\n              ],\n              [\n                -164.97125,\n                60.711434\n              ],\n              [\n                -164.945958,\n                60.92106\n              ],\n              [\n                -165.132488,\n                60.850145\n              ],\n              [\n                -165.194945,\n                60.9739\n              ],\n              [\n                -164.87045,\n                61.079564\n              ],\n              [\n                -165.2897,\n                61.181714\n              ],\n              [\n                -165.403007,\n                61.06706\n              ],\n              [\n                -165.578127,\n                61.100361\n              ],\n              [\n                -165.662892,\n                61.29457\n              ],\n              [\n                -165.921194,\n                61.40308\n              ],\n              [\n                -165.807627,\n                61.529171\n              ],\n              [\n                -166.165232,\n                61.550618\n              ],\n              [\n                -166.158976,\n                61.700437\n              ],\n              [\n                -165.82214,\n                61.67061\n              ],\n              [\n                -166.092081,\n                61.800733\n              ],\n              [\n                -165.640216,\n                61.848041\n              ],\n              [\n                -165.706155,\n                62.108365\n              ],\n              [\n                -164.837703,\n                62.685267\n              ],\n              [\n                -164.783858,\n                62.946154\n              ],\n              [\n                -164.493118,\n                63.17767\n              ],\n              [\n                -164.066991,\n                63.262276\n              ],\n              [\n                -163.316203,\n                63.037763\n              ],\n              [\n                -162.587754,\n                63.275727\n              ]\n            ]\n          ],\n          [\n            [\n              [\n                -169.267598,\n                63.343995\n              ],\n              [\n                -168.692939,\n                63.302282\n              ],\n              [\n                -168.818344,\n                63.163224\n              ],\n              [\n                -169.396308,\n                63.136617\n              ],\n              [\n                -169.638309,\n                62.937527\n              ],\n              [\n                -170.512102,\n                63.341881\n              ],\n              [\n                -171.067663,\n                63.424579\n              ],\n              [\n                -171.433319,\n                63.307578\n              ],\n              [\n                -171.849984,\n                63.485039\n              ],\n              [\n                -171.699647,\n                63.781728\n              ],\n              [\n                -170.950817,\n                63.570127\n              ],\n              [\n                -170.281988,\n                63.68502\n              ],\n              [\n                -169.974858,\n                63.470618\n              ],\n              [\n                -169.267598,\n                63.343995\n              ]\n            ]\n          ],\n          [\n            [\n              [\n                -162.614621,\n                63.621832\n              ],\n              [\n                -162.341892,\n                63.594062\n              ],\n              [\n                -162.676581,\n                63.555648\n              ],\n              [\n                -162.614621,\n                63.621832\n              ]\n            ]\n          ],\n          [\n            [\n              [\n                -106.190554,\n                40.997607\n              ],\n              [\n                -102.124972,\n                41.002338\n              ],\n              [\n                -102.04192,\n                37.035083\n              ],\n              [\n                -109.045223,\n                36.999084\n              ],\n              [\n                -109.050076,\n                41.000659\n              ],\n              [\n                -106.190554,\n                40.997607\n              ]\n            ]\n          ]\n        ]\n      },\n      \"properties\": {\n        \"name\": \"Alaska\",\n        \"nation\": \"USA  \"\n      }\n    }\n  ]\n}","volume":"117","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rutherford, Tait K. 0000-0003-4314-1519","orcid":"https://orcid.org/0000-0003-4314-1519","contributorId":331173,"corporation":false,"usgs":true,"family":"Rutherford","given":"Tait","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":949366,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hammond, Tim O.","contributorId":361749,"corporation":false,"usgs":false,"family":"Hammond","given":"Tim","middleInitial":"O.","affiliations":[{"id":86344,"text":"BLM Eastern Interior Field Office","active":true,"usgs":false}],"preferred":false,"id":949367,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Foster, Alison C. 0000-0002-6659-2120","orcid":"https://orcid.org/0000-0002-6659-2120","contributorId":331240,"corporation":false,"usgs":false,"family":"Foster","given":"Alison C.","affiliations":[{"id":79166,"text":"USGS, currently US Forest Service","active":true,"usgs":false}],"preferred":false,"id":949368,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gilbert, Megan A.","contributorId":361750,"corporation":false,"usgs":false,"family":"Gilbert","given":"Megan","middleInitial":"A.","affiliations":[{"id":79145,"text":"BLM Headquarters","active":true,"usgs":false}],"preferred":false,"id":949369,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haby, Travis S. 0000-0003-2204-9967","orcid":"https://orcid.org/0000-0003-2204-9967","contributorId":138831,"corporation":false,"usgs":false,"family":"Haby","given":"Travis","email":"","middleInitial":"S.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":949370,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lehrter, Richard J. 0000-0002-5760-9269","orcid":"https://orcid.org/0000-0002-5760-9269","contributorId":331176,"corporation":false,"usgs":false,"family":"Lehrter","given":"Richard","email":"","middleInitial":"J.","affiliations":[{"id":79144,"text":"BLM National Operations Center (Contractor)","active":true,"usgs":false}],"preferred":false,"id":949371,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meineke, Jennifer K. 0000-0002-7136-5854","orcid":"https://orcid.org/0000-0002-7136-5854","contributorId":331238,"corporation":false,"usgs":false,"family":"Meineke","given":"Jennifer 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":65185,"text":"School of Earth and Sustainability, Northern Arizona University, Flagstaff, Arizona, USA","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"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":70268799,"text":"70268799 - 2026 - Complex carbonate ore mineralogy in the Mountain Pass carbonatite rare earth element deposit, USA","interactions":[],"lastModifiedDate":"2026-01-05T16:31:18.882049","indexId":"70268799","displayToPublicDate":"2025-06-24T09:17:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Complex carbonate ore mineralogy in the Mountain Pass carbonatite rare earth element deposit, USA","docAbstract":"<p><span>Economic concentrations of rare earth element (REE) minerals are uncommon in the Earth’s crust, with most occurring in carbonatites. Unlike most igneous rocks composed of silicate minerals, carbonatites are dominated by carbonate minerals, some of which can incorporate significant light REEs (LREEs; La, Ce, Pr, Nd). Technological applications of REEs are numerous and they have been identified as some of the most critical mineral commodities to the global economy. The Mountain Pass carbonatite stock in the Mojave Desert of California is the most economically significant REE deposit in the USA and contains a few to tens of percent (by volume) of the carbonate REE ore mineral bastnäsite. Despite the economic significance of the Mountain Pass deposit, studies of its ore mineralogy are limited. Here we present new carbonate ore mineralogy data for a compositionally diverse suite of carbonatitic rocks from the Mountain Pass stock and related dikes. Whole-rock geochemical data are integrated with mineral-scale textural and chemical data obtained by scanning electron microscopy (SEM), electron probe microanalysis (EPMA), and microRaman spectroscopy. Our results document a complex spectrum of REE-bearing carbonate minerals and intermediate mixed-layer structures. Mineral species include bastnäsite [REE(CO</span><sub>3</sub><span>)F], hydroxylbastnäsite [REE(CO</span><sub>3</sub><span>)OH], parisite [Ca(REE)</span><sub>2</sub><span>(CO</span><sub>3</sub><span>)</span><sub>3</sub><span>F</span><sub>2</sub><span>], synchysite [Ca(REE)(CO</span><sub>3</sub><span>)</span><sub>2</sub><span>F], röntgenite [Ca</span><sub>2</sub><span>(Ce,La)</span><sub>3</sub><span>(CO</span><sub>3</sub><span>)</span><sub>5</sub><span>F</span><sub>3</sub><span>], and sahamalite [(Mg,Fe</span><sup>2+</sup><span>)(REE)</span><sub>2</sub><span>(CO</span><sub>3</sub><span>)</span><sub>4</sub><span>]. Carbonate ore mineralogy is heterogeneous within and between samples, including at the intracrystal scale. Complexly zoned crystals exhibit as many as five to six different compositional domains and syntaxial intergrowths, commonly with the more Ca-rich varieties (parisite, synchysite) forming crystal rims that surround relict bastnäsite cores. We attribute the phenocryst variability to changes in the chemistry and temperature of primary carbonatite magmas and evolved/exsolved fluids. Cross-cutting vein textures of calcite, celestine and various REE carbonate minerals, interstitial bastnäsite crystallization, breccia blocks lined by fine-grained bastnäsite, and the presence of hydroxylbastnäsite and partially hydroxylated bastnäsite point to the role of secondary hydrothermal processes in REE mineralization. Fluorcarbonate mineral compositions demonstrate that La and Ce are more structurally abundant in bastnäsite, whereas the more Ca-rich species (parisite, synchysite) contain a greater proportion of REE heavier than Pr (Nd, Sm, Eu, Gd) and Y. Atomic ratios of Pr/(Nd + Pr) are likewise variable, with the highest average value for bastnäsite (0.25) compared to parisite (0.22) and sychysite (0.21). This finding has geometallurgical implications, given that current mining operations are focused on recovery of Nd and Pr for high field strength permanent magnets and the Nd/Pr ratios are a critical factor in ore processing and magnet manufacture.</span></p>","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2025-9822","usgsCitation":"Watts, K., and Andersen, A.K., 2026, Complex carbonate ore mineralogy in the Mountain Pass carbonatite rare earth element deposit, USA: American Mineralogist, v. 111, no. 1, p. 11-28, https://doi.org/10.2138/am-2025-9822.","productDescription":"18 p.","startPage":"11","endPage":"28","ipdsId":"IP-177044","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":491816,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -116.7207777205175,\n              34.770376743385455\n            ],\n            [\n              -116.7207777205175,\n              33.763579479875446\n            ],\n            [\n              -114.52759201972991,\n              33.763579479875446\n            ],\n            [\n              -114.52759201972991,\n              34.770376743385455\n            ],\n            [\n              -116.7207777205175,\n              34.770376743385455\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"111","issue":"1","noUsgsAuthors":false,"publicationDate":"2026-01-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Watts, Kathryn E. 0000-0002-6110-7499","orcid":"https://orcid.org/0000-0002-6110-7499","contributorId":204344,"corporation":false,"usgs":true,"family":"Watts","given":"Kathryn E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":942029,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Andersen, Allen K. 0000-0002-6865-2561","orcid":"https://orcid.org/0000-0002-6865-2561","contributorId":217476,"corporation":false,"usgs":true,"family":"Andersen","given":"Allen","email":"","middleInitial":"K.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":942030,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70273336,"text":"70273336 - 2026 - Submarine canyon sediment transport and accumulation during sea level highstand: Interactive seasonal regimes in the head of Astoria Canyon, WA","interactions":[],"lastModifiedDate":"2026-01-07T14:52:34.98763","indexId":"70273336","displayToPublicDate":"2025-03-27T08:48:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2667,"text":"Marine Geology","active":true,"publicationSubtype":{"id":10}},"title":"Submarine canyon sediment transport and accumulation during sea level highstand: Interactive seasonal regimes in the head of Astoria Canyon, WA","docAbstract":"<p><span>The majority of&nbsp;submarine canyons&nbsp;on Earth today do not directly intersect littoral or&nbsp;</span>fluvial sediment<span>&nbsp;sources, yet these systems are rarely studied. The shelf-incised head of Astoria Canyon receives sediment from the nearby Columbia River and is subject to energetic forcing from shelf and slope processes, making it an ideal site to evaluate the modern activity of canyons in high-stand sea level conditions. This study uses in-situ data from Astoria Canyon to identify the active&nbsp;sediment transport&nbsp;processes and patterns of accumulation in temperate canyon systems that are decoupled from their sediment sources during sea level highstand. Hydrodynamic data from a benthic tripod deployment in the head of Astoria Canyon shows that sediment&nbsp;resuspension&nbsp;and transport during summer is driven by internal tides and plume-associated nonlinear internal waves. Observations of shoreward-directed currents and low shear stresses (&lt;0.14&nbsp;Pa) along with&nbsp;sediment trap&nbsp;data suggest that seasonal loading of the canyon head occurs during summer. Nearby long-term wave data show that winter storm&nbsp;significant wave height&nbsp;often exceeds 10&nbsp;m, driving shear stress capable of resuspending all grain sizes present within the canyon head. Swell events are generally concurrent with&nbsp;downwelling&nbsp;flows, providing a mechanism for episodic downcanyon sediment flux. Century-scale accumulation rates evaluated from&nbsp;sediment cores&nbsp;show slow accumulation in the upper canyon head, but rates progressively increase with depth to at least 300&nbsp;m. The&nbsp;depositional environment&nbsp;in Astoria Canyon continues to respond to fluvial and oceanic forcing over an annual cycle. This study indicates that canyon heads can continue to function as sites of sediment winnowing and&nbsp;bottom boundary layer&nbsp;export even with a detached, shelf-depth canyon head.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.margeo.2025.107516","usgsCitation":"Lahr, E., Ogston, A., Hill, J.C., Glover, H., and Rosenberger, K.J., 2026, Submarine canyon sediment transport and accumulation during sea level highstand: Interactive seasonal regimes in the head of Astoria Canyon, WA: Marine Geology, v. 484, 107516, https://doi.org/10.1016/j.margeo.2025.107516.","productDescription":"107516","ipdsId":"IP-158785","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":498373,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Astoria Canyon","volume":"484","noUsgsAuthors":false,"publicationDate":"2025-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Lahr, E.","contributorId":364893,"corporation":false,"usgs":false,"family":"Lahr","given":"E.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":953387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ogston, A.","contributorId":364894,"corporation":false,"usgs":false,"family":"Ogston","given":"A.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":953388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hill, Jenna C. 0000-0002-7475-357X","orcid":"https://orcid.org/0000-0002-7475-357X","contributorId":21987,"corporation":false,"usgs":true,"family":"Hill","given":"Jenna","email":"","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":953389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glover, H.","contributorId":364896,"corporation":false,"usgs":false,"family":"Glover","given":"H.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":953390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosenberger, Kurt J. 0000-0002-5185-5776 krosenberger@usgs.gov","orcid":"https://orcid.org/0000-0002-5185-5776","contributorId":140453,"corporation":false,"usgs":true,"family":"Rosenberger","given":"Kurt","email":"krosenberger@usgs.gov","middleInitial":"J.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":953391,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70261990,"text":"70261990 - 2026 - Integrating Sr isotopes, microchemistry, and genetics to reconstruct Salmonidae species and life history","interactions":[],"lastModifiedDate":"2026-05-07T15:32:32.686391","indexId":"70261990","displayToPublicDate":"2024-12-30T09:12:39","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":881,"text":"Archaeometry","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Integrating Sr isotopes, microchemistry, and genetics to reconstruct <i>Salmonidae</i> species and life history","title":"Integrating Sr isotopes, microchemistry, and genetics to reconstruct Salmonidae species and life history","docAbstract":"<p><span>Recent approaches to fisheries research emphasize the importance of the coproduction of knowledge in building resilient and culturally mindful fisheries management frameworks. Despite widespread recognition of the need for Indigenous knowledge and historical reference points as baseline data, archaeological data are rarely included in conservation biology research designs. Here we propose a novel multiproxy method to learn from former fisheries stewards by generating archaeological data on past salmonid population parameters. We used a newly developed, high throughput qPCR (HT-qPCR) chip, originally designed for environmental DNA (eDNA), for species identification of archaeological salmonid vertebrae. We combine this with the laser ablation split-stream (LASS) approach to identify ocean-migration versus freshwater residency. We test this multidisciplinary approach using both contemporary and archaeological salmonid samples and new radiocarbon dates from the Tronsdal Site on the Skagit River, Washington State, USA. This is a useful approach for extracting information about&nbsp;</span><i>Salmonidae</i><span>&nbsp;species and life history diversity from archaeological remains to reconstruct historic baselines for several population parameters in anadromous species with long periods of freshwater residency. The approach outlined in this paper may be particularly useful for research investigating past fisheries dynamics, offering hundreds to thousands of years of temporal depth for modern fisheries management, harvest policies, restoration ecology, and conservation biology.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/arcm.13058","usgsCitation":"Salerno, R., Murdoch, R., Taylor Wilcox, Elmore, J., Hegg, J., Austin, C.S., LeMoine, M., Luckhurst, J., Fraik, A., and Molly Carney, 2026, Integrating Sr isotopes, microchemistry, and genetics to reconstruct Salmonidae species and life history: Archaeometry, v. 68, no. 52, p. S104-S129, https://doi.org/10.1111/arcm.13058.","productDescription":"26 p.","startPage":"S104","endPage":"S129","ipdsId":"IP-163914","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":465877,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":466671,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/arcm.13058","text":"Publisher Index Page"}],"country":"United States","state":"Idaho, Oregon, Washington","otherGeospatial":"Skagit River, Snake River, Tronsdal site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.9016785186471,\n              49.33986640988289\n            ],\n            [\n              -111.47275403140569,\n              49.33986640988289\n            ],\n            [\n              -111.47275403140569,\n              42.18216305571397\n            ],\n            [\n              -124.9016785186471,\n              42.18216305571397\n            ],\n            [\n              -124.9016785186471,\n              49.33986640988289\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"68","issue":"52","noUsgsAuthors":false,"publicationDate":"2024-12-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Salerno, Ross Anthony 0000-0002-0053-5668","orcid":"https://orcid.org/0000-0002-0053-5668","contributorId":347832,"corporation":false,"usgs":true,"family":"Salerno","given":"Ross Anthony","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":922565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murdoch, Remi 0009-0004-2039-0795","orcid":"https://orcid.org/0009-0004-2039-0795","contributorId":347833,"corporation":false,"usgs":false,"family":"Murdoch","given":"Remi","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":922566,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Taylor Wilcox","contributorId":347835,"corporation":false,"usgs":false,"family":"Taylor Wilcox","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":922568,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elmore, Joanna 0000-0002-2851-6290","orcid":"https://orcid.org/0000-0002-2851-6290","contributorId":347834,"corporation":false,"usgs":false,"family":"Elmore","given":"Joanna","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":922567,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hegg, Jens 0000-0003-0125-9287","orcid":"https://orcid.org/0000-0003-0125-9287","contributorId":347836,"corporation":false,"usgs":false,"family":"Hegg","given":"Jens","affiliations":[{"id":83257,"text":"Gonzaga University","active":true,"usgs":false}],"preferred":false,"id":922569,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Austin, Catherine S 0000-0003-4245-8266","orcid":"https://orcid.org/0000-0003-4245-8266","contributorId":316293,"corporation":false,"usgs":false,"family":"Austin","given":"Catherine","email":"","middleInitial":"S","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":922570,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"LeMoine, Michael","contributorId":300286,"corporation":false,"usgs":false,"family":"LeMoine","given":"Michael","email":"","affiliations":[{"id":65066,"text":"Skagit River Systems Cooperative","active":true,"usgs":false}],"preferred":false,"id":922571,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Luckhurst, Jade","contributorId":347838,"corporation":false,"usgs":false,"family":"Luckhurst","given":"Jade","affiliations":[{"id":83258,"text":"Skagit River System Cooperative","active":true,"usgs":false}],"preferred":false,"id":922572,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fraik, Alexandra 0000-0002-9285-1173","orcid":"https://orcid.org/0000-0002-9285-1173","contributorId":347839,"corporation":false,"usgs":false,"family":"Fraik","given":"Alexandra","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":922573,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Molly Carney 0000-0003-1535-7363","orcid":"https://orcid.org/0000-0003-1535-7363","contributorId":347840,"corporation":false,"usgs":false,"family":"Molly Carney","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":922574,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70273331,"text":"70273331 - 2025 - Neotectonic origins for the Meadow Bank scarp, Wabash Valley seismic zone USA","interactions":[],"lastModifiedDate":"2026-01-07T16:38:07.821014","indexId":"70273331","displayToPublicDate":"2025-12-31T10:31:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Neotectonic origins for the Meadow Bank scarp, Wabash Valley seismic zone USA","docAbstract":"<p><span>The Meadow Bank scarp (MBS) in southeastern Illinois is a linear geomorphic expression, ∼10&nbsp;km long and ∼8&nbsp;m high above a relatively flat landscape. It parallels an underlying northeast‐oriented Late‐Precambrian–Early‐Cambrian structural fabric, called the Wabash Valley fault zone, and is within an area of modern, historic, and paleo seismicity, called the Wabash Valley seismic zone. In addition, the MBS acts as a boundary of the Wabash River floodplain, as well as Pleistocene glacial outwash channels, which show evidence of frequent outburst flood events. To better understand the MBS’s equivocal origin in this complex geologic environment, we acquired a 917‐m‐long seismic‐reflection survey across its axis to assess the subsurface geologic configuration. The resultant image indicates a complex set of faults that antiformally fold and displace the top of Paleozoic bedrock by ∼12&nbsp;m across the survey. Moreover, fault and/or fold deformation extends into the shallowest imaged Quaternary strata at ∼6&nbsp;m below the ground surface. This suggests the MBS origin is related to underlying Quaternary reactivated, positively inverted faults rather than exclusively to glacial outburst flood erosion. These results provide rare paleoearthquake spatial constraints for central U.S. regional seismic hazard consideration.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0320250028","usgsCitation":"Woolery, E.W., Stephenson, W.J., Woller, K., Leeds, A.L., Lindberg, N.S., Odum, J.K., Cearley, C., and Counts, R., 2025, Neotectonic origins for the Meadow Bank scarp, Wabash Valley seismic zone USA: The Seismic Record, v. 5, no. 4, p. 352-362, https://doi.org/10.1785/0320250028.","productDescription":"11 p.","startPage":"352","endPage":"362","ipdsId":"IP-169273","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":498475,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0320250028","text":"Publisher Index Page"},{"id":498387,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Illinois","otherGeospatial":"Wabash Valley seismic zone","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89,\n              39.5\n            ],\n            [\n              -89,\n              37.5\n            ],\n            [\n              -86.5,\n              37.5\n            ],\n            [\n              -86.5,\n              39.5\n            ],\n            [\n              -89,\n              39.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"5","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-12-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Woolery, Edward W 0000-0003-3398-5830","orcid":"https://orcid.org/0000-0003-3398-5830","contributorId":192994,"corporation":false,"usgs":false,"family":"Woolery","given":"Edward","email":"","middleInitial":"W","affiliations":[],"preferred":false,"id":953361,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":695,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":953362,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woller, Kevin","contributorId":364876,"corporation":false,"usgs":false,"family":"Woller","given":"Kevin","affiliations":[{"id":12425,"text":"University of Kentucky","active":true,"usgs":false}],"preferred":false,"id":953363,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leeds, Alena L. 0000-0002-8756-3687 aleeds@usgs.gov","orcid":"https://orcid.org/0000-0002-8756-3687","contributorId":4077,"corporation":false,"usgs":true,"family":"Leeds","given":"Alena","email":"aleeds@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":953364,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lindberg, Noah Silas 0000-0003-2861-3290","orcid":"https://orcid.org/0000-0003-2861-3290","contributorId":334408,"corporation":false,"usgs":true,"family":"Lindberg","given":"Noah","email":"","middleInitial":"Silas","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":953365,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Odum, Jackson K.","contributorId":364877,"corporation":false,"usgs":false,"family":"Odum","given":"Jackson","middleInitial":"K.","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":953366,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cearley, Cooper","contributorId":364879,"corporation":false,"usgs":false,"family":"Cearley","given":"Cooper","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":953367,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Counts, Ron 0000-0002-8426-1990","orcid":"https://orcid.org/0000-0002-8426-1990","contributorId":222105,"corporation":false,"usgs":false,"family":"Counts","given":"Ron","affiliations":[{"id":36508,"text":"University of Mississippi","active":true,"usgs":false}],"preferred":false,"id":953368,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70273662,"text":"70273662 - 2025 - Moose survival and habitat‐associated risk of endoparasites","interactions":[],"lastModifiedDate":"2026-01-22T16:05:29.482923","indexId":"70273662","displayToPublicDate":"2025-12-29T09:56:14","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Moose survival and habitat‐associated risk of endoparasites","docAbstract":"<p><span>Parasite-induced morbidity and mortality can alter the trajectories of incidental host populations. Yet, parasites rarely act in isolation and may be one of a multitude of biotic and abiotic stressors that collectively shape mortality risk in vertebrate populations. We quantified sources of mortality in a low-density population of moose (</span><i>Alces alces</i><span>) in New York State and investigated factors including parasite infection, nutritional limitation, and thermal stress influencing mortality risk in calf moose. We observed high rates of annual survival (0.81–0.92) in adult (</span><i>n</i><span> = 25) and calf (</span><i>n</i><span> = 27) moose monitored 2015–2018 and 2022–2024, respectively. The majority of cause-specific mortality was attributed to disease induced by giant liver fluke (</span><i>Fascioloides magna</i><span>; 75% in adults, 67% in calves). Calf mortality risk increased by 72% for every unit increase in giant liver fluke infection risk, measured as cumulative monthly proportion of wetlands used by moose, and decreased by 16% with each additional unit of nutritional energy available. The combination of flukes, coinfecting parasites, and available nutritional energy is important to calf survival in this population, highlighting the importance of managing multiple stressors for species conservation, although the effects are hard to disentangle given the high rates of survival observed. Identifying causes of mortality and mechanisms underlying increased mortality risk contributes to the continued conservation of moose in fluctuating populations and highlights the importance of managing parasite-induced disease.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72721","usgsCitation":"Grauer, J.A., Frair, J.L., Schuler, K.L., Lejeune, M., Kramer, D.W., and Fuller, A.K., 2025, Moose survival and habitat‐associated risk of endoparasites: Ecology and Evolution, v. 15, no. 12, e72721, 13 p., https://doi.org/10.1002/ece3.72721.","productDescription":"e72721, 13 p.","ipdsId":"IP-174117","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":498940,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72721","text":"Publisher Index Page"},{"id":498845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Adirondack Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.95550657922735,\n              44.95159248774067\n            ],\n            [\n              -74.95550657922735,\n              43.58240923383917\n            ],\n            [\n              -73.37197044848568,\n              43.58240923383917\n            ],\n            [\n              -73.37197044848568,\n              44.95159248774067\n            ],\n            [\n              -74.95550657922735,\n              44.95159248774067\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-12-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Grauer, Jennifer A.","contributorId":365370,"corporation":false,"usgs":false,"family":"Grauer","given":"Jennifer","middleInitial":"A.","affiliations":[{"id":48981,"text":"State University of New York","active":true,"usgs":false}],"preferred":false,"id":954228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frair, Jacqueline L.","contributorId":365371,"corporation":false,"usgs":false,"family":"Frair","given":"Jacqueline","middleInitial":"L.","affiliations":[{"id":48981,"text":"State University of New York","active":true,"usgs":false}],"preferred":false,"id":954229,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schuler, Krysten L.","contributorId":365372,"corporation":false,"usgs":false,"family":"Schuler","given":"Krysten","middleInitial":"L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":954230,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lejeune, Manigandan","contributorId":359243,"corporation":false,"usgs":false,"family":"Lejeune","given":"Manigandan","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":954231,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kramer, David W.","contributorId":365373,"corporation":false,"usgs":false,"family":"Kramer","given":"David","middleInitial":"W.","affiliations":[{"id":48981,"text":"State University of New York","active":true,"usgs":false}],"preferred":false,"id":954232,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":954233,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70273288,"text":"70273288 - 2025 - Regional characterization of coal resources in the U.S. Gulf Coast","interactions":[],"lastModifiedDate":"2026-01-05T14:46:57.476228","indexId":"70273288","displayToPublicDate":"2025-12-19T08:40:14","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":18346,"text":"EarthArXiv","active":true,"publicationSubtype":{"id":32}},"title":"Regional characterization of coal resources in the U.S. Gulf Coast","docAbstract":"<p><span>There is increasing interest in extracting critical minerals (CM), including rare earth elements (REE), from coals in the United States to address the overreliance on imported REE. The U.S. Gulf Coast and the Williston basins are the two major lignite-bearing basins within the country. Recent REE and CM studies of the lignite in these basins have indicated that the coals may be a viable source material for REE and CM extraction. To evaluate in-place coal as a potential source of REE and CM, the coal resources need to be quantified. This study presents the results of a regional analysis of the U.S. Gulf Coast lignite and bituminous coal resources that might be available as potential sources of REE and CM. The resource analysis used kriging methods to develop isopleth maps of cumulative coal thickness throughout the region using data from 31,181 drill holes and other data points. The estimated total coal resource in the Gulf Coast is about 83 billion metric tons in the upper 90 m (~ 300 ft) of the subsurface. Texas accounted for 40 percent (32 billion metric tons) of the total resource, followed by Mississippi (24 %, 20 billion metric tons), Louisiana (14 %, 12 billion metric tons), Tennessee (10 %, 8.5 billion metric tons), and Arkansas (6 %, 5.1 billion metric tons). The remaining states each accounted for less than 5 percent of the total resource. Georgia had the smallest resource estimated at 7 million metric tons. Here we report the first known state-wide lignite resource estimates for Georgia, Kentucky (820 million metric tons), and Missouri (1,800 million metric tons). A comparison of the results of this study with those of previous Gulf Coast and Williston Basin resource studies is difficult because each study used different data sources, assessment methodologies, overburden depths, and qualifying coal thicknesses. Coal-power electric generation has sharply decreased in past decades and mining of these coals for CM and REE could provide additional co-products such as activated carbon and other uses such as fertilizer (soil enhancer).</span></p>","language":"English","publisher":"EarthArXiv","doi":"10.31223/X53J17","usgsCitation":"Warwick, P., Reedy, R.C., and Scanlon, B.R., 2025, Regional characterization of coal resources in the U.S. Gulf Coast: EarthArXiv, preprint posted December 19, 2025, https://doi.org/10.31223/X53J17.","productDescription":"31 p.","ipdsId":"IP-179450","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":498314,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Warwick, Peter D. 0000-0002-3152-7783","orcid":"https://orcid.org/0000-0002-3152-7783","contributorId":205928,"corporation":false,"usgs":true,"family":"Warwick","given":"Peter D.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":953206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reedy, Robert C. 0009-0007-4810-7578","orcid":"https://orcid.org/0009-0007-4810-7578","contributorId":364779,"corporation":false,"usgs":false,"family":"Reedy","given":"Robert","middleInitial":"C.","affiliations":[{"id":86975,"text":"The Universality of Texas at Austin, Bureau of Economic Geology","active":true,"usgs":false}],"preferred":false,"id":953207,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scanlon, Bridget R. 0000-0002-1234-4199","orcid":"https://orcid.org/0000-0002-1234-4199","contributorId":328586,"corporation":false,"usgs":false,"family":"Scanlon","given":"Bridget","email":"","middleInitial":"R.","affiliations":[{"id":78414,"text":"Bureau of Economic Geology, Jackson School of Geosciences, University of Texas at Austin, J.J. Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":953208,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70273120,"text":"70273120 - 2025 - The transition from melt accumulation to eruption initiation recorded by orthopyroxene Fe-Mg diffusion timescales in late Holocene rhyolites, South Sister volcano, Oregon Cascade Range","interactions":[],"lastModifiedDate":"2025-12-16T16:00:27.482079","indexId":"70273120","displayToPublicDate":"2025-12-13T09:55:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"The transition from melt accumulation to eruption initiation recorded by orthopyroxene Fe-Mg diffusion timescales in late Holocene rhyolites, South Sister volcano, Oregon Cascade Range","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>South Sister volcano, Oregon Cascade Range, USA, has repeatedly erupted rhyolite since ca.&nbsp;40&nbsp;ka. The youngest such eruptions are the ca. 2&nbsp;ka Rock Mesa and Devils Chain rhyolites, erupted several hundred years apart from two multi-vent complexes separated by 3–6&nbsp;km. Fe-Mg interdiffusion models of orthopyroxene rims from both rhyolites produce timescales up to several-thousand years, but dominantly decades-to-centuries. Notably, the timescales of step-normal zoned orthopyroxene rims (i.e., normally zoned with a steep chemical gradient) from the Rock Mesa rhyolite are longer than those of reversely zoned crystals, whereas the Devils Chain produced mostly decadal timescales for both zoning types. Despite the proximity and broadly similar products of these episodes, their respective timescales indicate distinct sequences of events leading up to each eruption. The Rock Mesa timescales record centuries of magma chamber growth followed by decades of predominantly magma rejuvenation, reorganization, and destabilization. In contrast, the Devils Chain episode was preceded by a single episode of coupled rhyolite extraction, rejuvenation, and hybridization. Rare, high-An plagioclase cores and evidence of reheating implicate cryptic emplacement of mafic magma at the base of the rhyolite reservoirs. However, the diffusion timescales do not unequivocally support a single magma recharge event that affected both. Fluid fluxing and the reorganization of melt into buoyant magma chambers likely provided the source of increasing pressurization that initiated each eruption after several decades. Geodetic models of ongoing deformation west of South Sister could consider these processes in addition to magma emplacement.</span></span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GC012256","usgsCitation":"Andersen, N.L., Dechert, A.E., Ruth, D.C., Sas, M.(., Chouinard, J., and Dufek, J., 2025, The transition from melt accumulation to eruption initiation recorded by orthopyroxene Fe-Mg diffusion timescales in late Holocene rhyolites, South Sister volcano, Oregon Cascade Range: Geochemistry, Geophysics, Geosystems, v. 26, no. 12, e2025GC012256, 25 p., https://doi.org/10.1029/2025GC012256.","productDescription":"e2025GC012256, 25 p.","ipdsId":"IP-176366","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":497729,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gc012256","text":"Publisher Index Page"},{"id":497574,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"South Sister Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.82458613728515,\n              44.17505896778371\n            ],\n            [\n              -121.82458613728515,\n              44.0586913131734\n            ],\n            [\n              -121.72010795178801,\n              44.0586913131734\n            ],\n            [\n              -121.72010795178801,\n              44.17505896778371\n            ],\n            [\n              -121.82458613728515,\n              44.17505896778371\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"26","issue":"12","noUsgsAuthors":false,"publicationDate":"2025-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Andersen, Nathan Lee 0000-0002-4152-4914","orcid":"https://orcid.org/0000-0002-4152-4914","contributorId":345693,"corporation":false,"usgs":true,"family":"Andersen","given":"Nathan","email":"","middleInitial":"Lee","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dechert, Annika E.","contributorId":345692,"corporation":false,"usgs":false,"family":"Dechert","given":"Annika","email":"","middleInitial":"E.","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":952386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruth, Dawn Catherine Sweeney 0000-0001-9369-9364","orcid":"https://orcid.org/0000-0001-9369-9364","contributorId":334908,"corporation":false,"usgs":true,"family":"Ruth","given":"Dawn","email":"","middleInitial":"Catherine Sweeney","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":952387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sas, May (Mai)","contributorId":364248,"corporation":false,"usgs":false,"family":"Sas","given":"May","middleInitial":"(Mai)","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":952388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chouinard, Julie","contributorId":364250,"corporation":false,"usgs":false,"family":"Chouinard","given":"Julie","affiliations":[{"id":6604,"text":"University of Oregon","active":true,"usgs":false}],"preferred":false,"id":952389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dufek, Josef","contributorId":194001,"corporation":false,"usgs":false,"family":"Dufek","given":"Josef","email":"","affiliations":[],"preferred":false,"id":952390,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70272019,"text":"gip263 - 2025 - USGS—An Unparalleled Scientific Asset","interactions":[],"lastModifiedDate":"2026-03-05T18:22:22.613234","indexId":"gip263","displayToPublicDate":"2025-12-09T16:10:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"263","displayTitle":"USGS: An Unparalleled Scientific Asset","title":"USGS—An Unparalleled Scientific Asset","docAbstract":"<p>The U.S. Geological Survey (USGS) delivers information critical to powering our economy, managing our natural resources, and keeping Americans safe and healthy.<sup>1</sup></p><h3>Mapping the Nation</h3><p><strong>$21B</strong><br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Geologic maps save users an estimated 15% in annual costs: a value of between $14B and $21B.<br><strong>$25.6B</strong><br>&nbsp; &nbsp; &nbsp;in annual value to users of imagery from Landsat satellites, which were codeveloped by NASA and the USGS and operated through their lifespans by the USGS.<br><strong>$13.5B</strong><br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;in annual benefits is generated by the USGS's 3D Elevation Program.</p><h3>Securing America’s Energy Independence</h3><p><strong>44%</strong><br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;USGS-identified undiscovered geothermal energy is equal to 44% of current U.S. electricity generation.<br><strong>29.4B</strong><br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;barrels of oil and 391.6 trillion cubic feet of gas in recoverable resources are available on U.S. public lands based on USGS assessments.</p><h3>Protecting Americans’ Health and Safety</h3><p><strong>$424B</strong><br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;in recent wildland fire damages highlight the need for USGS fire science, which supports efforts to protect communities and reduce risk.<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;USGS earthquake, volcano, landslide, and coastal hazard monitoring and information save lives and minimize costs; for example, $2.8M can be saved because of USGS enhanced information about a Mauna Loa eruption.<br><strong>$4.5B</strong><br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;is the estimated cost of annual flooding. 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The USGS’s invasive species research informs approaches used to reduce their effects on agriculture, water infrastructure, disease transmission, fisheries, and outdoor recreation.<br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;USGS innovations support early warnings for harmful algal blooms—over $2M in yearly benefits are provided to Kansas alone.<br><strong>$45B</strong><br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;USGS science informs the management of big game (such as deer and elk). The big-game hunting industry contributes $45B to the U.S. economy.</p><h3>Fostering American Prosperity</h3><p><strong>$4.1T</strong><br>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Mineral commodities are necessary for the $4.1T in value added to the GDP by major industries that consume processed mineral materials and employ 1 million workers. 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-155.9619140625,\n              18.8543103618898\n            ],\n            [\n              -155.56640625,\n              18.771115062337024\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: December 2025; Version 1.1: March 2026","contact":"<p><a href=\"\" data-mce-href=\"\">U.S. Geological Survey</a><br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2025-12-09","revisedDate":"2026-03-05","noUsgsAuthors":false,"publicationDate":"2025-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Shonte 0009-0005-2863-849X","orcid":"https://orcid.org/0009-0005-2863-849X","contributorId":330009,"corporation":false,"usgs":true,"family":"Jenkins","given":"Shonte","email":"","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":949740,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pindilli, Emily 0000-0002-5101-1266 epindilli@usgs.gov","orcid":"https://orcid.org/0000-0002-5101-1266","contributorId":140262,"corporation":false,"usgs":true,"family":"Pindilli","given":"Emily","email":"epindilli@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"preferred":true,"id":949741,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Applegate, David 0000-0001-5570-3449 applegate@usgs.gov","orcid":"https://orcid.org/0000-0001-5570-3449","contributorId":263,"corporation":false,"usgs":true,"family":"Applegate","given":"David","email":"applegate@usgs.gov","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":951864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Reagan, Rachel E. 0000-0002-3987-6419 rreagan@usgs.gov","orcid":"https://orcid.org/0000-0002-3987-6419","contributorId":3519,"corporation":false,"usgs":true,"family":"Reagan","given":"Rachel","email":"rreagan@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":951865,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273720,"text":"70273720 - 2025 - Detecting hidden sedimentary geothermal systems in the Upper Colorado River Basin","interactions":[],"lastModifiedDate":"2026-01-26T16:15:03.676695","indexId":"70273720","displayToPublicDate":"2025-12-01T09:57:32","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Detecting hidden sedimentary geothermal systems in the Upper Colorado River Basin","docAbstract":"Geothermal resources exist in sedimentary rock where circulation of water for efficient extraction or storage of heat is possible. Except in rare instances where hot water is expressed at the land surface, sedimentary geothermal resources are hidden, so the identification of these systems is optimally accomplished using predictive subsurface modeling.  An integrated approach using detailed paleogeographic interpretations, subsurface geologic mapping, and numerical modeling has produced regional geologic and temperature models for the Upper Colorado River Basin, a large watershed in central North America that contains many sedimentary basins. These models identify areas of hidden sedimentary geothermal resource potential in low temperature (<90°C), moderate temperature (90–150°C), and high temperature (>150°C) fairways across the study area. These models incorporate maps of key horizons in outcrop and the subsurface to create a robust structural framework that can be used to target favorable geology for natural or engineered permeability. This framework is populated with lithologies derived from detailed palaeogeographical maps and over 40,000 bottom hole temperature (BHT) values were used to create a calibrated three-dimensional (3D) temperature model across the region. The resulting maps serve as a regional sedimentary geothermal play fairway screening tool for evaluating different grades of sedimentary geothermal resources and for identifying areas of interest where more detailed, prospect-scale studies can be undertaken.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Using the Earth to save the Earth","largerWorkSubtype":{"id":12,"text":"Conference publication"},"language":"English","publisher":"Geothermal Resources Council","usgsCitation":"Gardner, R., Birdwell, J.E., Sweetkind, D., Sullivan, P., Eaton, M., Petermann, H., Clement, A., Hagadorn, J., and Woda, J., 2025, Detecting hidden sedimentary geothermal systems in the Upper Colorado River Basin, <i>in</i> Using the Earth to save the Earth, v. 49, p. 1512-1525.","productDescription":"14 p.","startPage":"1512","endPage":"1525","ipdsId":"IP-180873","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":499022,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":499003,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.geothermal-library.org/index.php?mode=pubs&action=view&record=1035309"}],"country":"United States","state":"Arizona, Colorado, New Mexico, Utah, Wyoming","otherGeospatial":"Upper Colorado River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105,\n              43.25\n            ],\n            [\n              -113,\n              43.25\n            ],\n            [\n              -113,\n              34\n            ],\n            [\n              -105,\n              34\n            ],\n            [\n              -105,\n          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Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":954433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sweetkind, Donald S. 0000-0003-0892-4796","orcid":"https://orcid.org/0000-0003-0892-4796","contributorId":210808,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":954434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Patrick","contributorId":348055,"corporation":false,"usgs":false,"family":"Sullivan","given":"Patrick","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":954435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eaton, Melia","contributorId":365598,"corporation":false,"usgs":false,"family":"Eaton","given":"Melia","affiliations":[{"id":6606,"text":"Colorado School of Mines","active":true,"usgs":false}],"preferred":false,"id":954436,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Petermann, Holger","contributorId":365599,"corporation":false,"usgs":false,"family":"Petermann","given":"Holger","affiliations":[{"id":27833,"text":"Denver Museum of Nature and Science","active":true,"usgs":false}],"preferred":false,"id":954437,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Clement, Annaka","contributorId":365600,"corporation":false,"usgs":false,"family":"Clement","given":"Annaka","affiliations":[{"id":27833,"text":"Denver Museum of Nature and Science","active":true,"usgs":false}],"preferred":false,"id":954438,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hagadorn, James","contributorId":365601,"corporation":false,"usgs":false,"family":"Hagadorn","given":"James","affiliations":[{"id":27833,"text":"Denver Museum of Nature and Science","active":true,"usgs":false}],"preferred":false,"id":954439,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Woda, Joshua C. 0000-0002-2932-8013","orcid":"https://orcid.org/0000-0002-2932-8013","contributorId":290172,"corporation":false,"usgs":true,"family":"Woda","given":"Joshua","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":954440,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70273143,"text":"70273143 - 2025 - Pre-eruptive characteristics of “suspect” silicic magmas in Carlin-type Au-forming systems","interactions":[],"lastModifiedDate":"2025-12-16T15:37:04.093312","indexId":"70273143","displayToPublicDate":"2025-12-01T09:31:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":738,"text":"American Mineralogist","active":true,"publicationSubtype":{"id":10}},"title":"Pre-eruptive characteristics of “suspect” silicic magmas in Carlin-type Au-forming systems","docAbstract":"<p><span>World-class Carlin-type Au deposits hosted in sedimentary rock were formed when profuse Eocene silicic magmatism swept across northern Nevada in response to arc migration. Carlin-type Au deposits formed along with porphyry/skarn Cu-Mo-W-Au deposits, epithermal Ag-Au deposits, and distal disseminated Ag-Au deposits. But unlike these other Au-bearing deposits that have clear associations with igneous intrusions, Carlin-type ore deposits appear to have formed distant from concealed plutons, and their origin remains controversial. Despite decades of abundant geophysical, geochronological, and geochemical studies suggesting the involvement of magmas, concrete evidence for magmatic involvement is still lacking. Consequently, the involvement of contemporaneous igneous systems remains inferred based on age, proximity, and variable isotopic, geochemical, and geophysical clues. A recent synthesis of deposit models postulates that Carlin-type Au deposits are intrusion-related, but that the causative magmas reside deeper (∼6–12&nbsp;km) than in typical porphyry and peripheral systems (∼3–5&nbsp;km), meaning that Carlin-type deposits are perhaps more distal expressions of igneous intrusions. We investigate a collection of “suspect” magmatic systems over a ∼7&nbsp;m.y. timespan (∼41–34 Ma) that are contemporaneous with and near known Carlin-type ore deposits. We report results of a multifaceted array of in situ geochemical analyses (FTIR, EMP, SHRIMP-RG, LA-ICP-MS) of quartz-hosted melt inclusions, biotite, and quartz to better characterize the pre-eruptive characteristics of these magmas. We also report results of thermobarometry and thermodynamic phase equilibria modeling to help place constraints on magmatic reservoir depths and processes. Rather than a single “flavor” of silicic magma, we observe a surprisingly broad compositional spectrum of rhyolites, with one end of the spectrum exhibiting more arc-like (I-type) characteristics and the other end displaying more post-subduction, thick-crust extensional (A-type) characteristics. This broad compositional spectrum suggests a more complex picture of silicic crustal magmatism operating over a narrow span of time during slab rollback. Despite this spectrum, magmatic systems in this study are consistently ferroan and generally peraluminous, which we interpret as an expression of the relatively elevated geotherm at the time and incorporation of variable amounts of highly peraluminous metasedimentary crustal components. The silicic magma spectrum encompasses a range of mineralization associations, including subduction-related Cu-Mo-W-Au-Ag and post-subduction, thick-crust extensional rare-metal Mo-Sn-W-F-Be-Ag-Au, consistent with the prolific and diverse array of ore deposits that formed during this time. Carlin-type Au deposition appears to be associated with nearly the entire magmatic spectrum. This apparent indifference to silicic magma “flavor” would seem to imply that if magmas are involved in Carlin-type Au deposit genesis, they perhaps do not need to be compositionally specialized and/or possibly are only relevant as heat sources driving circulation to remobilize and redistribute metals.</span></p>","language":"English","publisher":"Mineralogical Society of America","doi":"10.2138/am-2024-9372","usgsCitation":"Mercer, C.N., Roberge, J., Khoury, R., and Hofstra, A.H., 2025, Pre-eruptive characteristics of “suspect” silicic magmas in Carlin-type Au-forming systems: American Mineralogist, v. 110, no. 2, p. 1898-1918, https://doi.org/10.2138/am-2024-9372.","productDescription":"21 p.","startPage":"1898","endPage":"1918","ipdsId":"IP-097749","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":497571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -120,\n              42\n            ],\n            [\n              -120,\n              38\n            ],\n            [\n              -114,\n              38\n            ],\n            [\n              -114,\n              42\n            ],\n            [\n              -120,\n              42\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"110","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Mercer, Celestine N. 0000-0001-8359-4147 cmercer@usgs.gov","orcid":"https://orcid.org/0000-0001-8359-4147","contributorId":4006,"corporation":false,"usgs":true,"family":"Mercer","given":"Celestine","email":"cmercer@usgs.gov","middleInitial":"N.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":952438,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberge, Julie","contributorId":152268,"corporation":false,"usgs":false,"family":"Roberge","given":"Julie","email":"","affiliations":[{"id":18893,"text":"Instituto Politecnico Nacional, ESIA-Ticoman","active":true,"usgs":false}],"preferred":false,"id":952439,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Khoury, Regina Marie 0000-0003-2421-986X","orcid":"https://orcid.org/0000-0003-2421-986X","contributorId":294769,"corporation":false,"usgs":true,"family":"Khoury","given":"Regina Marie","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":952440,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":952441,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273848,"text":"70273848 - 2025 - Environmental DNA metabarcoding for monitoring fish biodiversity in remote lakes","interactions":[],"lastModifiedDate":"2026-02-06T15:14:32.840311","indexId":"70273848","displayToPublicDate":"2025-12-01T08:07:49","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Environmental DNA metabarcoding for monitoring fish biodiversity in remote lakes","docAbstract":"<p>Objective</p><p><span>Environmental DNA (eDNA) metabarcoding provides an attractive option for monitoring biodiversity in remote freshwater ecosystems, where the deployment of conventional gears encounters major logistical constraints. We evaluated eDNA metabarcoding for monitoring fish communities and early detection of nonnative species in three remote lakes on Isle Royale, Michigan, USA.</span></p><p><span>Methods</span></p><p><span>At each of the three lakes, we collected surface, midwater, and lake bottom samples from 10 sites during spring and fall sampling events. We performed metabarcoding on all the water samples, targeting the 12S region of all fish species.</span></p><p><span>Results</span></p><p><span>Despite a relatively small sample size (<i>N</i>&nbsp;= 60 samples per lake across two visits; 10 locations with three depths per location), we recovered 70% of all the species that were previously observed using conventional methods. We recovered several detections of putative Cisco&nbsp;<i>Coregonus artedi</i>, a vulnerable coldwater species, providing evidence that Cisco have persisted in these lakes. However, we found disentangling likely false positives from rare species challenging, which we overcame by employing multiple types of detection thresholds and a species-specific quantitative PCR assay.</span></p><p><span>Conclusions</span></p><p><span>Although we were able to successfully characterize the fish communities using eDNA metabarcoding, more attention needs to be given to the detection thresholds and communication protocols that provide guidance in interpretating new eDNA detections and using eDNA detections to inform management decisions. Although eDNA metabarcoding has limitations that should be accounted for at the outset of the project, the ease of sample collection makes eDNA metabarcoding an option for monitoring freshwater biodiversity in remote systems.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/najfmt/vqaf106","usgsCitation":"Iacaruso, N.J., Myers, J.T., Seider, M.J., and Davis, M.A., 2025, Environmental DNA metabarcoding for monitoring fish biodiversity in remote lakes: North American Journal of Fisheries Management, v. 46, no. 1, p. 84-100, https://doi.org/10.1093/najfmt/vqaf106.","productDescription":"17 p.","startPage":"84","endPage":"100","ipdsId":"IP-176505","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":499648,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Michigan","otherGeospatial":"Isle Royale, Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.31231479627827,\n              48.18989928985803\n            ],\n            [\n              -89.31231479627827,\n              47.823253980655494\n            ],\n            [\n              -88.40909564980919,\n              47.823253980655494\n            ],\n            [\n              -88.40909564980919,\n              48.18989928985803\n            ],\n            [\n              -89.31231479627827,\n              48.18989928985803\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"46","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-12-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Iacaruso, Nicholas J. 0009-0004-0829-2252","orcid":"https://orcid.org/0009-0004-0829-2252","contributorId":366087,"corporation":false,"usgs":false,"family":"Iacaruso","given":"Nicholas","middleInitial":"J.","affiliations":[{"id":38021,"text":"University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":955227,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Myers, Jared Thomas 0009-0004-9362-8792","orcid":"https://orcid.org/0009-0004-9362-8792","contributorId":363104,"corporation":false,"usgs":true,"family":"Myers","given":"Jared","middleInitial":"Thomas","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":955228,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Seider, Michael J. 0000-0002-6500-4710","orcid":"https://orcid.org/0000-0002-6500-4710","contributorId":366088,"corporation":false,"usgs":false,"family":"Seider","given":"Michael","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":955229,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davis, Mark A. 0000-0001-9034-9430","orcid":"https://orcid.org/0000-0001-9034-9430","contributorId":366089,"corporation":false,"usgs":false,"family":"Davis","given":"Mark","middleInitial":"A.","affiliations":[{"id":38021,"text":"University of Illinois Urbana-Champaign","active":true,"usgs":false}],"preferred":false,"id":955230,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70273268,"text":"70273268 - 2025 - Rare milkvetch (Astragalus) persistence at a utility-scale solar energy facility in the Mojave Desert","interactions":[],"lastModifiedDate":"2025-12-29T15:38:48.704275","indexId":"70273268","displayToPublicDate":"2025-11-27T09:31:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Rare milkvetch (<i>Astragalus</i>) persistence at a utility-scale solar energy facility in the Mojave Desert","title":"Rare milkvetch (Astragalus) persistence at a utility-scale solar energy facility in the Mojave Desert","docAbstract":"<p><span>Utility-scale solar energy (USSE) development is driving the projected growth in global renewable energy capacity but comes with environmental tradeoffs. New, alternative construction methods are promoted to minimize impacts to soils, vegetation, and hydrology; however, the disturbance created by these methods requires further investigation. We evaluated the population of a rare annual species, threecorner milkvetch (</span><i>Astragalus geyeri</i><span>&nbsp;var.&nbsp;</span><i>triquetrus</i><span>), at the Gemini Solar Project in the Mojave Desert, USA, two years after construction. Gemini was required to minimize disturbance in the threecorner milkvetch habitat, providing a unique opportunity to study the plant population and life history characteristics of a rare plant species under novel construction methods. Our objectives were to compare plant population characteristics of threecorner milkvetch inside and outside the Gemini footprint and in different photovoltaic (PV) panel microsites (interspace, panel dripline, under panel). We hypothesized that 1) threecorner milkvetch would have lower survival, reproduction, and growth, and a later phenology, inside compared to outside the facility, and 2) that these negative effects on plant demography and phenology would intensify with increasing proximity to photovoltaic panels in the solar array due to an increasing effect of disturbance and reduction of light and water availability. The results of this 1-year study during a favorable year of rainfall demonstrate the persistence of a rare Mojave annual plant species within an altered environment at a USSE facility. We found that threecorner milkvetch had an earlier phenology, grew larger, and had a higher fecundity at Gemini compared to plants off-site. Survivorship between the two populations, however, was not significantly different. Although growth and reproductive metrics were not correlated with distance to panel, minimal threecorner milkvetch emergence occurred directly under the PV panels and along their driplines, indicating a potential loss of suitable habitat if this pattern becomes more widespread in space or through time. Novel construction techniques for USSE could be considered moving forward to minimize impact on aboveground vegetation and maintain viable seed banks. The results of this study can assist land managers in making decisions about USSE development as the demand grows.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2025.1697878","usgsCitation":"Pereira, T.J., Karban, C.C., Kobelt, L., and Munson, S.M., 2025, Rare milkvetch (Astragalus) persistence at a utility-scale solar energy facility in the Mojave Desert: Frontiers in Ecology and Evolution, v. 13, 1697878, 12 p., https://doi.org/10.3389/fevo.2025.1697878.","productDescription":"1697878, 12 p.","ipdsId":"IP-182848","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":498294,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2025.1697878","text":"Publisher Index Page"},{"id":498143,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nevada","otherGeospatial":"Mojave Desert","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.87877698144997,\n              36.55309391567229\n            ],\n            [\n              -114.87877698144997,\n              36.398061936746544\n            ],\n            [\n              -114.70717521419876,\n              36.398061936746544\n            ],\n            [\n              -114.70717521419876,\n              36.55309391567229\n            ],\n            [\n              -114.87877698144997,\n              36.55309391567229\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2025-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Pereira, Tiffany J.","contributorId":364633,"corporation":false,"usgs":false,"family":"Pereira","given":"Tiffany","middleInitial":"J.","affiliations":[{"id":86877,"text":"Desert Research Institute [DRI] Conservation Ecology Lab, Division of Earth and Ecosystem Sciences, DRI, Las Vegas, NV, US","active":true,"usgs":false}],"preferred":false,"id":952964,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karban, Claire C 0000-0002-6157-031X","orcid":"https://orcid.org/0000-0002-6157-031X","contributorId":344987,"corporation":false,"usgs":true,"family":"Karban","given":"Claire","email":"","middleInitial":"C","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952965,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kobelt, Lara A.","contributorId":350355,"corporation":false,"usgs":false,"family":"Kobelt","given":"Lara A.","affiliations":[{"id":83722,"text":"Bureau of Land Management, Southern Nevada District Office, 4701 North Torrey Pines Dr., Las Vegas, NV 89130","active":true,"usgs":false}],"preferred":false,"id":952966,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":220026,"corporation":false,"usgs":true,"family":"Munson","given":"Seth","email":"smunson@usgs.gov","middleInitial":"M.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":952967,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70272820,"text":"70272820 - 2025 - A monitoring framework to assess forest bird population response to landscape scale mosquito suppression using the Incompatible Insect Technique","interactions":[],"lastModifiedDate":"2025-12-10T15:52:46.387704","indexId":"70272820","displayToPublicDate":"2025-11-24T09:39:50","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":6053,"text":"Hawaii Cooperative Studies Unit Technical Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"HCSU-119","title":"A monitoring framework to assess forest bird population response to landscape scale mosquito suppression using the Incompatible Insect Technique","docAbstract":"<p><span>The Birds, Not Mosquitoes Monitoring and Support Science Working Group detailed methods for monitoring the population response of Hawaiian forest birds during implementation of the Incompatible Insect Technique (IIT) on the islands of Maui and Kauaʻi. The group prioritized methods for measuring the influence of mosquito suppression on populations within IIT treatment and control areas and identified focal species for IIT efficacy monitoring in birds. Three primary metrics were established to assess the impact of IIT on vulnerable species: population demography, density, and geographic range. Each metric can be evaluated using multiple methods. This report reviews those methods, with emphasis on approaches supported by pre-IIT baseline data and compatible with a before-after control-impact (BACI) study design for evaluating population responses over time. Focal avian species were selected based on population size estimates, fecundity, and disease susceptibility. We identified ʻākohekohe (Palmeria dolei), ʻiʻiwi (Drepanis coccinea), Maui ʻalauahio (Paroreomyza montana), Hawaiʻi ʻamakihi (Chlorodrepanis virens), Kauaʻi ʻamakihi (Chlorodrepanis stejnegeri), Kauaʻi ʻelepaio (Chasiempis sclateri), and ʻanianiau (Magumma parva) as focal species for monitoring population level response to disease suppression. </span></p><p><span>Populations of kiwikiu (Pseudonestor xanthophrys), ʻakikiki (Oreomystis bairdi), akekeʻe (Loxops caeruleirostris), and the ʻiʻiwi population on Kauaʻi may be too small (e.g., &lt;100 individuals) to effectively monitor, and it is unlikely that sufficient data can be collected from these birds to show IIT efficacy in a relatively short time frame (i.e., 5–10 years). Despite the logistical challenges to IIT implementation, there is potential to maintain disease-free status in individual populations of birds. Indeed, the continued existence of these critically endangered species in the wild within or near IIT treatment areas could be considered an accomplishment of IIT, given the current predictions for their extinction in the wild within 5–10 years. Demographic monitoring methods, including territory mapping, nest monitoring, mist-netting, and mark-recapture studies, provide direct evidence of survivorship and reproductive output. </span></p><p><span>When combined with disease surveillance, these approaches could provide the most robust evidence of increased survivorship and productivity resulting from avian malaria suppression via IIT. However, demographic studies require several years of monitoring to achieve statistically robust BACI comparisons of survivorship and are more difficult to implement relative to other approaches. Given that these field efforts are labor-intensive and heavily reliant on personnel availability and funding, demographic monitoring could be conducted when adequate resources permit. </span></p><p><span>On both Maui and Kauaʻi, passive acoustic monitoring (PAM) was identified as a priority method for monitoring the range, occupancy, and relative abundance of focal species. Autonomous recording units (ARUs) can record bird vocalizations in remote areas for several months. </span></p><p><span>Innovative machine learning techniques permit rapid and semi-autonomous identification of most endemic honeycreepers on each island, maximizing sampling efficiencies and minimizing data processing costs. We predict mosquito suppression could support expansion of focal species into areas where disease transmission is currently excluding these species and expect acoustic monitoring data of focal species to reflect these spatial patterns. Additionally, the relative occupancy and call densities can be monitored temporally and spatially to assess the efficacy of IIT for supporting positive growth in vulnerable bird species. It is not yet clear if PAM is more effective than other methods, such as distance sampling, for detecting trends in the densities of rare species. However, the increased detections resulting from the larger sample size per observation point using ARUs will likely improve accuracy in detecting changes in species’ ranges. Collection of during and after treatment data within the BACI design could help to provide critical information to track avian population response, recovery, and potential range expansion related to IIT efforts. Point-transect distance sampling (point-counts) was prioritized as a method for monitoring population densities of focal species. Extensive historical sampling across focal species’ ranges provides a robust baseline for detecting change. These counts provide updated population densities and can be used to assess the distribution of focal species within IIT treatment areas. </span></p><p><span>However, detecting subtle population changes with traditional distance sampling requires intensive spatial and temporal effort and may be less effective for rare species. To improve resolution, density surface modeling can integrate multiple data sources (e.g., point-counts, PAM, spot-mapping, and resightings) to estimate species-specific densities at finer spatial scales, including within and outside IIT treatment areas. This integrated modeling approach allows for detailed comparisons and may reveal early signs of recovery, including recolonization of formerly occupied sites. A coordinated monitoring strategy can allow managers to evaluate the success of mosquito suppression as a conservation intervention and support adaptive management in the face of emerging challenges.</span></p>","language":"English","publisher":"University of Hawai‘i at Hilo","usgsCitation":"Judge, S., Warren, C.C., Navine, A.K., Camp, R.J., Crampton, L.H., Mounce, H.L., Vetter, J., Smith, L., Hart, P.J., Bellinger, M.R., and McClure, K.M., 2025, A monitoring framework to assess forest bird population response to landscape scale mosquito suppression using the Incompatible Insect Technique: Hawaii Cooperative Studies Unit Technical Report HCSU-119, iv, 40 p.","productDescription":"iv, 40 p.","ipdsId":"IP-179519","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":497301,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497294,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/5402"}],"country":"United States","state":"Hawaii","otherGeospatial":"Alaka'i Plateau, Haleakalā National Park , Waikamoi region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.1522358062181,\n              20.73823881977907\n            ],\n            [\n              -156.1522358062181,\n              20.64621454011673\n            ],\n            [\n              -156.0266571558431,\n              20.64621454011673\n            ],\n            [\n              -156.0266571558431,\n              20.73823881977907\n            ],\n            [\n              -156.1522358062181,\n              20.73823881977907\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.24921043067422,\n              20.86997751409396\n            ],\n            [\n              -156.24921043067422,\n              20.764987165934627\n            ],\n            [\n              -156.1306083719868,\n              20.764987165934627\n            ],\n            [\n              -156.1306083719868,\n              20.86997751409396\n            ],\n            [\n              -156.24921043067422,\n              20.86997751409396\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -159.60125365576934,\n              22.147325602222963\n            ],\n            [\n              -159.60125365576934,\n              22.042746120889333\n            ],\n            [\n              -159.48161313138613,\n              22.042746120889333\n            ],\n            [\n              -159.48161313138613,\n              22.147325602222963\n            ],\n            [\n              -159.60125365576934,\n              22.147325602222963\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Judge, Seth 0000-0003-3832-3246","orcid":"https://orcid.org/0000-0003-3832-3246","contributorId":189965,"corporation":false,"usgs":false,"family":"Judge","given":"Seth","email":"","affiliations":[],"preferred":false,"id":951876,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Warren, Christopher C","contributorId":264665,"corporation":false,"usgs":false,"family":"Warren","given":"Christopher","email":"","middleInitial":"C","affiliations":[{"id":54533,"text":"Maui Forest Bird Recovery Project, Pacific Cooperative Studies Unit, University of Hawai‘i at Manoa","active":true,"usgs":false}],"preferred":false,"id":951877,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Navine, Amanda K","contributorId":333575,"corporation":false,"usgs":false,"family":"Navine","given":"Amanda","email":"","middleInitial":"K","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":951878,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true}],"preferred":true,"id":951879,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crampton, Lisa H. 0000-0002-5420-4338","orcid":"https://orcid.org/0000-0002-5420-4338","contributorId":359942,"corporation":false,"usgs":false,"family":"Crampton","given":"Lisa","middleInitial":"H.","affiliations":[{"id":85948,"text":"Kauaʻi Forest Bird Recovery Project","active":true,"usgs":false}],"preferred":false,"id":951880,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mounce, Hanna L","contributorId":363605,"corporation":false,"usgs":false,"family":"Mounce","given":"Hanna","middleInitial":"L","affiliations":[{"id":13352,"text":"Maui Forest Bird Recovery Project","active":true,"usgs":false}],"preferred":false,"id":951881,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vetter, John","contributorId":291840,"corporation":false,"usgs":false,"family":"Vetter","given":"John","affiliations":[{"id":55513,"text":"USFWS - Pacific Islands Fish and Wildlife Office","active":true,"usgs":false}],"preferred":false,"id":951882,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Lauren K. 0000-0003-1783-715X","orcid":"https://orcid.org/0000-0003-1783-715X","contributorId":353538,"corporation":false,"usgs":false,"family":"Smith","given":"Lauren K.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":951883,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hart, Patrick J.","contributorId":147728,"corporation":false,"usgs":false,"family":"Hart","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":6977,"text":"University of Hawai`i at Hilo","active":true,"usgs":false}],"preferred":false,"id":951884,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bellinger, Mona Renee 0000-0001-5274-9572","orcid":"https://orcid.org/0000-0001-5274-9572","contributorId":301018,"corporation":false,"usgs":true,"family":"Bellinger","given":"Mona","email":"","middleInitial":"Renee","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":951885,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McClure, Katherine Maria 0000-0001-8595-7677","orcid":"https://orcid.org/0000-0001-8595-7677","contributorId":332279,"corporation":false,"usgs":true,"family":"McClure","given":"Katherine","email":"","middleInitial":"Maria","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":951886,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70273153,"text":"70273153 - 2025 - Groundwater structures fish growth and production across a riverscape","interactions":[],"lastModifiedDate":"2025-12-17T15:07:26.397254","indexId":"70273153","displayToPublicDate":"2025-11-23T08:59:12","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater structures fish growth and production across a riverscape","docAbstract":"<ol class=\"\"><li>Landscapes are composed of habitat patches and conditions that vary across space and time. While habitat variability and complexity can support important ecological processes and ecosystem services, the dynamic nature of habitats can also constrain organismal growth and production as optimal conditions are fleeting. In riverine ecosystems, groundwater discharge to streams stabilises water temperature and flow regimes, thus mediating how habitat complexity is expressed. Yet, how stable habitats structure growth and production within the broader landscape matrix is not well understood.</li><li>In this study, we explored the effects of groundwater on spatiotemporal variation in growth and production for juvenile Yellowstone cutthroat trout (<i>Oncorhynchus virginalis bouvieri</i>) across the upper Snake River catchment, Wyoming, USA. We combined machine learning techniques and remotely sensed landscape data to estimate groundwater availability across the river network, which we linked to stream temperature regimes and conspecific density. We then used Bayesian hierarchical models to quantify the effects of temperature, density and groundwater on spatiotemporal variation in fish growth and production in 52 focal reaches. Finally, we predicted body size trajectories and trends in total production continuously over both space and time to understand the effect of groundwater at the riverscape scale.</li><li>Groundwater discharged to streams where topography changes abruptly in valley-bottom areas underlain by coarse glacial deposits. Groundwater stabilised temperature regimes and was associated with high trout densities. Temperature and density, in turn, interacted to influence growth rates: growth increased strongly with temperature, but this effect was reduced when density was high. Accordingly, variation in groundwater availability among stream reaches diversified growth and production regimes. In reaches with low groundwater availability, growth and production declined over time from summer maxima. In contrast, in reaches with high groundwater availability, temporal trends in growth and production were hump-shaped—peaking in autumn—and mean production was greater. At the riverscape scale, temporal asynchrony in growth rates generated convergent spatial variation in growth capacity, but—when combined with density—led to the formation of distinct hotspots of production.</li><li>Our results demonstrate how groundwater, an important driver of aquatic ecosystem heterogeneity, structures trout growth and production across space and time. Importantly, rare, but stable habitats may disproportionately affect ecological processes and serve as key sources of population diversity at larger spatial scales.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/fwb.70112","usgsCitation":"Baldock, J.R., Al-Chokhachy, R., and Walters, A.W., 2025, Groundwater structures fish growth and production across a riverscape: Freshwater Biology, v. 70, no. 11, e70112, 17 p., https://doi.org/10.1111/fwb.70112.","productDescription":"e70112, 17 p.","ipdsId":"IP-167512","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":497735,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/fwb.70112","text":"Publisher Index Page"},{"id":497632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"upper Snake River catchment","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111,\n              44.5\n            ],\n            [\n              -111,\n              43\n            ],\n            [\n              -110,\n              43\n            ],\n            [\n              -110,\n              44.5\n            ],\n            [\n              -111,\n              44.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"70","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldock, Jeffrey R.","contributorId":364299,"corporation":false,"usgs":false,"family":"Baldock","given":"Jeffrey","middleInitial":"R.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":952466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":216140,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":952467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":952468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272628,"text":"70272628 - 2025 - When do single-species occupancy models outperform multispecies models?","interactions":[{"subject":{"id":70266474,"text":"70266474 - 2025 - Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design","indexId":"70266474","publicationYear":"2025","noYear":false,"title":"Failure to meet the exchangeability assumption in Bayesian multispecies occupancy models: Implications for study design"},"predicate":"SUPERSEDED_BY","object":{"id":70272628,"text":"70272628 - 2025 - When do single-species occupancy models outperform multispecies models?","indexId":"70272628","publicationYear":"2025","noYear":false,"title":"When do single-species occupancy models outperform multispecies models?"},"id":1}],"lastModifiedDate":"2025-11-26T14:27:14.908635","indexId":"70272628","displayToPublicDate":"2025-11-23T08:22:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"When do single-species occupancy models outperform multispecies models?","docAbstract":"<p><span>Occupancy models have become increasingly popular for species monitoring and assessment, in part, because detection/non-detection data are readily obtained using a variety of methods. Multispecies occupancy models (MSOMs) can yield more accurate parameter estimates than single-species models (SSOMs) with less data through their hierarchical structure, making MSOMs an attractive option when species are hard to detect or when data collection is constrained, leading to sparse datasets. Such constraints may arise from limited sampling resources, but also occur in rare species monitoring or where preliminary results are desired to inform adaptive management. Further, experimental habitat treatments often impose spatial constraints on sampling based on the scale of their implementation. Whether a MSOM outperforms SSOMs depends on the volume of data, characteristics of the ecological community, research goals of a study and how these factors align with modeling assumptions. We performed a simulation study of hypothetical pollinator communities under varying sampling intensities for scenarios in which experimental habitat treatments produced different community-level effects. We fit occupancy models to simulated datasets and assessed model performance. At lower sampling intensities (&lt; 20 spatial replicates and &lt; 4 temporal replicates), MSOM community-level treatment effect estimates were biased. Even at twice this sampling intensity, SSOMs yielded more accurate species-specific effect estimates in treatment effect scenarios with high variance. In some cases, MSOMs can pull species in the tails of distributions too far toward the community mean effect, which risks incorrect conclusions concerning whether treatments help or harm individual species. When quantifying species-specific effects is the main objective, particularly for rarely observed species, SSOMs are more robust to outliers across a range of community response scenarios. Researchers can use this information to inform study design, guide simulation studies and decide whether the higher precision of MSOMs outweighs risks of improperly estimated effects for some species.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72315","usgsCitation":"Cotterill, G.G., Keinath, D.A., and Graves, T., 2025, When do single-species occupancy models outperform multispecies models?: Ecology and Evolution, v. 15, no. 11, e72315, 14 p., https://doi.org/10.1002/ece3.72315.","productDescription":"e72315, 14 p.","ipdsId":"IP-178046","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":496936,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72315","text":"Publisher Index Page"},{"id":496899,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"11","noUsgsAuthors":false,"publicationDate":"2025-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Cotterill, Gavin G. 0000-0002-1408-778X","orcid":"https://orcid.org/0000-0002-1408-778X","contributorId":346534,"corporation":false,"usgs":true,"family":"Cotterill","given":"Gavin","middleInitial":"G.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":951037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keinath, Douglas A.","contributorId":363056,"corporation":false,"usgs":false,"family":"Keinath","given":"Douglas","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":951038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":951039,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70272238,"text":"fs20253049 - 2025 - Rare earth elements on the Moon","interactions":[],"lastModifiedDate":"2026-02-03T16:34:02.589564","indexId":"fs20253049","displayToPublicDate":"2025-11-20T10:30:30","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3049","displayTitle":"Rare Earth Elements on the Moon","title":"Rare earth elements on the Moon","docAbstract":"<p>Rare earth elements (REEs) are a scarce but vital resource for our modern economies and lifestyles. Since the late 1990s, China has supplied the vast majority of the world’s refined REEs. Increasing global demand has broadened the search for REE deposits to unconventional places, including the Moon. Although most lunar rocks have very low REE concentrations, Apollo samples showed that one type of lunar rock containing potassium (K), REEs, and phosphorus (P)—known by the acronym KREEP—has high concentrations of REEs. Data from orbiting satellites have identified locations where substantial deposits of KREEP are likely. The viability of mining these deposits depends on the evolution of REE economics, the development of the Earth-Moon infrastructure, and the findings from future lunar mineral exploration missions.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253049","usgsCitation":"Keszthelyi, L.P., Coyan, J.A., Pigue, L.M., Bennett, K.A., and Gabriel, T.S.J., 2025, Rare earth elements on the Moon: U.S. Geological Survey Fact Sheet 2025-3049, 4 p., https://doi.org/10.3133/fs20253049.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-177188","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":496650,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3049/fs20253049.pdf","text":"Report","size":"9.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3049 PDF"},{"id":496649,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3049/coverthb.jpg"}],"otherGeospatial":"the Moon","contact":"<p><a href=\"https://www.usgs.gov/centers/astrogeology-science-center\" data-mce-href=\"https://www.usgs.gov/centers/astrogeology-science-center\">Astrogeology Science Center</a><br><a href=\"https://www.usgs.gov/\" data-mce-href=\"https://www.usgs.gov/\">U.S. Geological Survey</a><br>2255 N. Gemini Dr.<br>Flagstaff, AZ 86001</p>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2025-11-20","noUsgsAuthors":false,"publicationDate":"2025-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Keszthelyi, Laszlo P. 0000-0003-1879-4331 laz@usgs.gov","orcid":"https://orcid.org/0000-0003-1879-4331","contributorId":227,"corporation":false,"usgs":true,"family":"Keszthelyi","given":"Laszlo","email":"laz@usgs.gov","middleInitial":"P.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":950545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coyan, Joshua A. 0000-0002-8450-7364 jcoyan@usgs.gov","orcid":"https://orcid.org/0000-0002-8450-7364","contributorId":197481,"corporation":false,"usgs":true,"family":"Coyan","given":"Joshua","email":"jcoyan@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":950546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pigue, Lori M. 0000-0002-6675-6877","orcid":"https://orcid.org/0000-0002-6675-6877","contributorId":330994,"corporation":false,"usgs":true,"family":"Pigue","given":"Lori","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":950547,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bennett, Kristen A. 0000-0001-8105-7129","orcid":"https://orcid.org/0000-0001-8105-7129","contributorId":237068,"corporation":false,"usgs":true,"family":"Bennett","given":"Kristen","email":"","middleInitial":"A.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":950548,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gabriel, Travis S.J. 0000-0002-9767-4153","orcid":"https://orcid.org/0000-0002-9767-4153","contributorId":267903,"corporation":false,"usgs":true,"family":"Gabriel","given":"Travis","middleInitial":"S.J.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":950549,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
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