On 4 May 2018, a Mw 6.9 earthquake occurred on the south flank of Kīlauea, in the midst of an historic event that included a voluminous eruption from Kīlauea’s lower East Rift zone and caldera collapse at its summit. The earthquake was a consequence of both short‐ and long‐term stress buildup due to magmatic activity associated with the eruption and steady flank motion, respectively, and it revealed features of Kīlauea’s décollement fault that can inform understanding of future earthquake activity. We used geodetic data to determine the distributions of slip during the coseismic and postseismic periods and compared these with areas of known fault slip during past earthquakes and slow‐slip events (SSEs). The 2018 earthquake ruptured into an area of the décollement fault that was active during quasi‐regular SSEs that occurred in the two decades prior to 2018 but that have not been observed since. The coseismic slip model indicates that the amount of motion on the décollement fault was several times greater than what typically occurred during SSEs, suggesting that it may take decades for the fault to rebuild stress to the point at which SSEs will occur again. Postseismic afterslip also occurred in an area of the fault known to experience slow slip; however, unlike at other creeping faults, postseismic afterslip was rapid, being largely over within 2–3 days. The rapid nature and small magnitude of the postseismic afterslip may be due to the lack of a viscoelastic relaxation component, which is possibly a result of the shallow dip of the décollement fault not transferring stress efficiently into the lower crust.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120240222","usgsCitation":"Johanson, I.A., Montgomery-Brown, E.K., and Poland, M., 2026, Rupture into slow-slip fault regime during the 2018 Mw 6.9 Island of Hawaiʻi earthquake is followed by modest postseismic slip: Bulletin of the Seismological Society of America, v. 113, no. 3, p. 1023-1035, https://doi.org/10.1785/0120240222.","productDescription":"13 p.","startPage":"1023","endPage":"1035","ipdsId":"IP-169927","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":503676,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"island of Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -156.17989695699225,\n 19.908375170783174\n ],\n [\n -154.7062809263427,\n 19.908375170783174\n ],\n [\n -154.7062809263427,\n 18.965995638681747\n ],\n [\n -156.17989695699225,\n 18.965995638681747\n ],\n [\n -156.17989695699225,\n 19.908375170783174\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"113","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Johanson, Ingrid A. 0000-0002-6049-2225","orcid":"https://orcid.org/0000-0002-6049-2225","contributorId":215613,"corporation":false,"usgs":true,"family":"Johanson","given":"Ingrid","email":"","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":960624,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Montgomery-Brown, Emily K. 0000-0001-6787-2055","orcid":"https://orcid.org/0000-0001-6787-2055","contributorId":214074,"corporation":false,"usgs":true,"family":"Montgomery-Brown","given":"Emily","email":"","middleInitial":"K.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":960625,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":960626,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273955,"text":"70273955 - 2026 - Large streamflow differences between forested and urbanized watersheds in the energy-limited eastern United States: The role of evapotranspiration and impervious surfaces","interactions":[],"lastModifiedDate":"2026-02-19T15:12:36.147521","indexId":"70273955","displayToPublicDate":"2026-02-03T09:07:45","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Large streamflow differences between forested and urbanized watersheds in the energy-limited eastern United States: The role of evapotranspiration and impervious surfaces","docAbstract":"Urban forests and other green infrastructures have been viewed as part of the “Nature-based Solutions” (NbS) to mitigate emerging urban environmental change. This study focuses on the role of evapotranspiration (ET) in regulating water balances of small watersheds in the eastern United States. We compared streamflow and ET patterns at daily, monthly and annual scales and linked these hydrological variables to the physical properties of 11 paired watersheds dominated by forests (FW) or urban (UW) land covers. The annual precipitation ranged from 1028 mm to 1683 mm and potential ET (PET) from 815 mm to 1450 mm. The mean annual flow/precipitation (Q/P) ratios were 0.26 ± 0.13 and 0.41 ± 0.1 for FW and UW, respectively. Overall, UW had lower annual ET (772 mm in UW vs. 947 mm in FW), but higher mean annual and (∼58% higher), monthly water yield (17%–186% higher), and peakflow rates (up to 100 times higher) than FW. The streamflow differences between FW and UW were most pronounced during the growing season and early winter (June-November). The mean Q/P ratios for 30 large hurricane events (2016–2021) were 0.12 ± 0.11 and 0.38 ± 0.23 for FW and UW, respectively. The flow rates in the dormant season (around December-May) in UW were similar or lower than FW. We developed conceptual models to explain the seasonal and storm event streamflow differences using background climate (PET), ET, and land surface characteristics. Urban NbS designs should factor in strategies that maximize ET while minimizing impervious surfaces enhancing watershed “sponge” and “pump” functions.
","language":"English","publisher":"American Geophysical Union (AGU)","doi":"10.1029/2025WR041340","usgsCitation":"Sun, G., Bian, Z., Khand, K., Caldwell, P.V., Boggs, J., Wang, C., Chen, Y., Liu, N., Zhang, Y., Chen, X., Senay, G., and McNulty, S.G., 2026, Large streamflow differences between forested and urbanized watersheds in the energy-limited eastern United States: The role of evapotranspiration and impervious surfaces: Water Resources Research, v. 62, no. 2, e2025WR041340, 20 p., https://doi.org/10.1029/2025WR041340.","productDescription":"e2025WR041340, 20 p.","ipdsId":"IP-185235","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":500255,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025wr041340","text":"Publisher Index Page"},{"id":500183,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"eastern United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -68.13910817442056,\n 42.504366194491354\n ],\n [\n -96.89658092237323,\n 42.504366194491354\n ],\n [\n -96.89658092237323,\n 25.74722198798669\n ],\n [\n -68.13910817442056,\n 25.74722198798669\n ],\n [\n -68.13910817442056,\n 42.504366194491354\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"62","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Sun, G.","contributorId":205528,"corporation":false,"usgs":false,"family":"Sun","given":"G.","email":"","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":955905,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bian, Z.","contributorId":366435,"corporation":false,"usgs":false,"family":"Bian","given":"Z.","affiliations":[{"id":78585,"text":"Nanjing Normal University","active":true,"usgs":false}],"preferred":false,"id":955906,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Khand, K.","contributorId":366436,"corporation":false,"usgs":false,"family":"Khand","given":"K.","affiliations":[{"id":87483,"text":"AFDS, contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":955907,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caldwell, P. 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This chapter provides a comprehensive overview of mountain sheep migration and other movements across their broad distribution in western North America. Across the range of mountain sheep, migrations and other seasonal movements define a complex movement portfolio that relates to and supports all aspects of mountain sheep ecology. Bighorn and thinhorn species have examples of migratory behaviors that span the continuum between annual residents and long-distance migrants. Migratory behaviors can be characterized as low- or high-elevation residents; elevational migrations and other variants; and geographic migrants. Native populations that have been extant on the landscape without notable human intervention have greater migratory propensity and more diverse migratory portfolios due to the maintenance of migration through cultural learning and social transmission. Restored and augmented populations, where the population-level knowledge of migration has been lost or greatly reduced, are largely nonmigratory, although translocations show some ability to restore short-distance elevational migrations. Seasonal spring and fall migrations are less common in desert bighorn sheep (O. canadensis spp.) or bighorn sheep living in canyon or prairie breaks landscapes. Mineral lick visitation is important and common across the range of mountain sheep. Managing for migratory diversity can help to sustain migratory behavior in the face of climate change and other anthropogenic pressures, which can limit landscape connectivity between seasonal ranges or alter the spatiotemporal dynamics of regional phenology with cascading effects to other biotic and abiotic interactions such as the need to balance forage and predation risk or the spatial refugia with increased temperatures.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Mountain sheep in North America: Biology, ecology, conservation, and management","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Taylor & Francis","usgsCitation":"Lowrey, B., 2026, Seasonal migrations and other movements, chap. 11 of Mountain sheep in North America: Biology, ecology, conservation, and management, 17 p.","productDescription":"17 p.","ipdsId":"IP-182273","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":501917,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.taylorfrancis.com/chapters/edit/10.1201/9781003518686-12/seasonal-migrations-movements-blake-lowrey?context=ubx&refId=699430e2-94b9-4407-90df-f7f736783dbe","linkFileType":{"id":5,"text":"html"}},{"id":501918,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2026-02-03","publicationStatus":"PW","contributors":{"editors":[{"text":"Krausman, Paul R.","contributorId":31467,"corporation":false,"usgs":true,"family":"Krausman","given":"Paul","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":958488,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Jex, Bill","contributorId":347327,"corporation":false,"usgs":false,"family":"Jex","given":"Bill","email":"","affiliations":[{"id":83135,"text":"British Columbia Ministry of Water, Land, and Resource Stewardship","active":true,"usgs":false}],"preferred":false,"id":958489,"contributorType":{"id":2,"text":"Editors"},"rank":2}],"authors":[{"text":"Lowrey, Blake 0000-0002-4994-2117","orcid":"https://orcid.org/0000-0002-4994-2117","contributorId":335494,"corporation":false,"usgs":true,"family":"Lowrey","given":"Blake","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":958409,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70275611,"text":"70275611 - 2026 - Geodetic investigations of the Europa Clipper mission","interactions":[],"lastModifiedDate":"2026-05-05T15:43:36.462444","indexId":"70275611","displayToPublicDate":"2026-02-03T08:36:33","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3454,"text":"Space Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Geodetic investigations of the Europa Clipper mission","docAbstract":"The Europa Clipper mission will investigate the geophysical properties of Europa, one of Jupiter’s Galilean moons, to assess its habitability. Geodetic measurements will play a critical role in determining Europa’s internal structure, rotational state, and tidal deformation. The Geodesy Focus Group (GFG) coordinates cross-instrument efforts to measure Europa’s global shape, rotational parameters, gravity field, and degree-2 tidal Love numbers (k2 and h2). The data provided by the Gravity/Radio Science (G/RS) investigation, Europa Imaging System (EIS), Radar for Europa Assessment and Sounding (REASON), and Europa Ultraviolet Spectrometer (UVS) will be used to infer geodetic constraints on the interior structure and construct a precise cartographic reference system. This combined dataset will provide new constraints on Europa’s tidal response, ice shell thickness, and the properties of its subsurface ocean. The resulting geodetic information will contribute to a deeper understanding of Europa’s internal dynamics and the potential habitability of its ocean.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s11214-025-01250-x","usgsCitation":"Steinbrügge, G., Park, R., Roberts, J., Bland, M.T., Brooks, S.M., Castillo-Rogez, J.C., Cascioli, G., Genova, A., Greathouse, T., Hussmann, H., Kirk, R.L., Magnanini, A., Mazarico, E., Nimmo, F., Park, M.S., Petricca, F., Retherford, K., Schroeder, D., Soderlund, K., Tortora, P., and Zannoni, M., 2026, Geodetic investigations of the Europa Clipper mission: Space Science Reviews, v. 222, 17, 27 p., https://doi.org/10.1007/s11214-025-01250-x.","productDescription":"17, 27 p.","ipdsId":"IP-173933","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":504197,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11214-025-01250-x","text":"Publisher Index Page"},{"id":503996,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Europa, Jupiter","volume":"222","noUsgsAuthors":false,"publicationDate":"2026-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Steinbrügge, G.","contributorId":371106,"corporation":false,"usgs":false,"family":"Steinbrügge","given":"G.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":961046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Park, R.S.","contributorId":371107,"corporation":false,"usgs":false,"family":"Park","given":"R.S.","affiliations":[{"id":36392,"text":"Jet Propulsion Laboratory","active":true,"usgs":false}],"preferred":false,"id":961047,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, J.H.","contributorId":371108,"corporation":false,"usgs":false,"family":"Roberts","given":"J.H.","affiliations":[{"id":27117,"text":"Johns Hopkins Applied Physics Laboratory","active":true,"usgs":false}],"preferred":false,"id":961048,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":961049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brooks, S. 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Understanding the interaction between seismicity and injection can shed important light on the hydrothermal characteristics of the field. Here, we analyze 15 years of local seismic and daily operational data from the CGF, identifying a strong correlation between short-term increase in seismicity rate and seasonal volumetric and temperature variations in the reinjected fluid. Furthermore, the seismic footprint during peak injection of colder fluids reveals a near-instantaneous response up to 2 km away from the injection well, too rapid for pore pressure diffusion alone. This short-term and distant response is observed to have directional preference, indicating structural or permeability anisotropy within the reservoir. Additionally, the seismic response correlates with the initial volumetric increase of colder fluids, but also with temperature decrease during stable injection periods, suggesting thermal effects alone can play an important role in triggering distant seismicity.
","language":"English","publisher":"Springer Nature","doi":"https://doi.org/10.1038/s41598-026-38146-x","usgsCitation":"Holmgren, J.M., Kaven, J., and Oye, V., 2026, Rapid hydrothermal triggering of induced seismicity at the Coso Geothermal Field: Scientific Reports, v. 16, 7057, 13 p., https://doi.org/https://doi.org/10.1038/s41598-026-38146-x.","productDescription":"7057, 13 p.","ipdsId":"IP-183104","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":503794,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-026-38146-x","text":"Publisher Index Page"},{"id":503683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Coso Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -117.94812402937875,\n 36.31119300186096\n ],\n [\n -117.91761936538354,\n 36.14039599559639\n ],\n [\n -117.69290996480319,\n 36.137076617761835\n ],\n [\n -117.7024373862758,\n 36.30702875797783\n ],\n [\n -117.7743458577599,\n 36.31125945663386\n ],\n [\n -117.94812402937875,\n 36.31119300186096\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationDate":"2026-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Holmgren, Joanna M.","contributorId":370738,"corporation":false,"usgs":false,"family":"Holmgren","given":"Joanna","middleInitial":"M.","affiliations":[{"id":18074,"text":"NORSAR","active":true,"usgs":false}],"preferred":false,"id":960705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaven, Joern Ole 0000-0003-2625-2786","orcid":"https://orcid.org/0000-0003-2625-2786","contributorId":217694,"corporation":false,"usgs":true,"family":"Kaven","given":"Joern Ole","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":960706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oye, Volker","contributorId":370739,"corporation":false,"usgs":false,"family":"Oye","given":"Volker","affiliations":[{"id":18074,"text":"NORSAR","active":true,"usgs":false}],"preferred":false,"id":960707,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273867,"text":"70273867 - 2026 - Cotton farming affects ileal virome in a sedentary wild passerine","interactions":[],"lastModifiedDate":"2026-02-10T15:01:13.562068","indexId":"70273867","displayToPublicDate":"2026-02-03T07:54:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23298,"text":"Animal Microbiome","active":true,"publicationSubtype":{"id":10}},"title":"Cotton farming affects ileal virome in a sedentary wild passerine","docAbstract":"Although a few studies have focused on avian gut virome variation in response to environmental stressors, none have assessed virome in relation to the production of chemically intensive crop-based agriculture that alters food resources and detrimentally affects various aspects of avian health and fitness. In this study, we used shotgun metatranscriptomics to assess whether exposure to cotton (Gossypium spp.) production had a deleterious effect on the ileal virome of sedentary northern mockingbirds (Mimus polyglottos) sampled from two cotton-producing areas (16 birds in total) and one uncultivated area (7 birds) in Texas, USA. We recovered 43 viruses representing 13 virus families, which included two viruses that appear to be potential vertebrate pathogens. Individual sample richness varied from 25 to 33 viruses. Both virome richness (Adj. r2 = 0.247, F(2, 20) = 4.615, P = 0.022) and composition (r2 = 0.370, F(2, 20) = 5.883, P = 0.001) differed among three sampling regions. Cotton production was associated with the increase of virome richness (Adj. r2 = 0.283, df = 22, P = 0.005). Pesticide occurrence data collected using silicone bands at the three sites suggest that virome compositional changes are not only associated with total pesticide exposure but are also particularly sensitive to the pesticide combinations detected at each location.
","language":"English","publisher":"Elsevier","doi":"10.1186/s42523-026-00523-2","usgsCitation":"Drovetski, S.V., Bourke, B.P., Hladik, M.L., Ferreira, C.F., Ergunay, K., Linton, Y., Kolpin, D., and Voelker, G., 2026, Cotton farming affects ileal virome in a sedentary wild passerine: Animal Microbiome, v. 8, 8, 12 p., https://doi.org/10.1186/s42523-026-00523-2.","productDescription":"8, 12 p.","ipdsId":"IP-176492","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":499940,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42523-026-00523-2","text":"Publisher Index Page"},{"id":499712,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"8","noUsgsAuthors":false,"publicationDate":"2026-02-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Drovetski, Sergei V. 0000-0002-1832-5597","orcid":"https://orcid.org/0000-0002-1832-5597","contributorId":229520,"corporation":false,"usgs":true,"family":"Drovetski","given":"Sergei","middleInitial":"V.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":955328,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bourke, Brian P.","contributorId":335297,"corporation":false,"usgs":false,"family":"Bourke","given":"Brian","email":"","middleInitial":"P.","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":955329,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221229,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955330,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ferreira, Carolina F. 0000-0001-6303-5954","orcid":"https://orcid.org/0000-0001-6303-5954","contributorId":359793,"corporation":false,"usgs":false,"family":"Ferreira","given":"Carolina","middleInitial":"F.","affiliations":[{"id":85922,"text":"Department of Ecology and Conservation Biology, 2258 TAMU, Texas A&M University, College Station, TX 77843, USA","active":true,"usgs":false}],"preferred":false,"id":955331,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ergunay, Koray","contributorId":335300,"corporation":false,"usgs":false,"family":"Ergunay","given":"Koray","email":"","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":955332,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Linton, Yvonne-Marie","contributorId":335301,"corporation":false,"usgs":false,"family":"Linton","given":"Yvonne-Marie","email":"","affiliations":[{"id":36606,"text":"Smithsonian Institution","active":true,"usgs":false}],"preferred":false,"id":955333,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":205652,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955334,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Voelker, Gary","contributorId":229521,"corporation":false,"usgs":false,"family":"Voelker","given":"Gary","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":955335,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70276567,"text":"70276567 - 2026 - Statistical facilitation in environmental science: Integrating results from complementary statistical analyses can improve ecological interpretations","interactions":[],"lastModifiedDate":"2026-06-09T17:13:30.909925","indexId":"70276567","displayToPublicDate":"2026-02-02T10:09:14","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5021,"text":"Environments","active":true,"publicationSubtype":{"id":10}},"title":"Statistical facilitation in environmental science: Integrating results from complementary statistical analyses can improve ecological interpretations","docAbstract":"Professionals working in biological conservation seek to understand, manage, and restore populations of native organisms using many techniques. A common approach for this discipline is using long-term data collections to inform decision making. However, several quantitative issues complicate statistical analysis of monitoring datasets and can reduce the utility of results for conservation decision making. Integrating results from multiple analyses applied to the same dataset (i.e., approaching the same biological problem using different techniques) is one way to address concerns related to field data that violate statistical assumptions. This process allows data analysts, researchers, and managers to assemble insights based on the weight of evidence. Here we tested whether three different statistical techniques [(1) multiple logistic regression on original data, (2) multiple logistic regression on standardized data (i.e., mean of 0 and standard deviation of 1), and (3) random forest analysis] identified a similar hierarchy for selecting natural and anthropogenic habitat regressors. Our examination of how environmental variables affected Plains Minnow (Hybognathus placitus), a state-threatened fish, is relevant to other taxa and locations. We gained useful information from redundancies (i.e., agreements across analyses). New directions also emerged by addressing ambiguities (i.e., disagreements among results across analyses). When multiple analyses were integrated into one ecological story, a clearer interpretation emerged. Viewing different statistical tests as facilitators that provide mutual advantages can advance the understanding and application of statistical analyses applied to non-experimental field datasets.
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\"}}]}","volume":"13","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Mather, Martha E. 0000-0003-3027-0215 mather@usgs.gov","orcid":"https://orcid.org/0000-0003-3027-0215","contributorId":2580,"corporation":false,"usgs":true,"family":"Mather","given":"Martha","email":"mather@usgs.gov","middleInitial":"E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":962688,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kuck, Shelby","contributorId":372055,"corporation":false,"usgs":false,"family":"Kuck","given":"Shelby","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":962689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oliver, Devon","contributorId":195899,"corporation":false,"usgs":false,"family":"Oliver","given":"Devon","affiliations":[],"preferred":false,"id":962690,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275336,"text":"70275336 - 2026 - Invasive grass influences on the fire cycle and treatment effectiveness to control their abundance in the Intermountain West, USA","interactions":[],"lastModifiedDate":"2026-04-29T14:57:10.701103","indexId":"70275336","displayToPublicDate":"2026-02-02T09:47:46","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2100,"text":"Invasive Plant Science and Management","active":true,"publicationSubtype":{"id":10}},"title":"Invasive grass influences on the fire cycle and treatment effectiveness to control their abundance in the Intermountain West, USA","docAbstract":"Many non-native invasive grass species increase wildfire activity and regenerate more quickly than native species. This invasive grass–fire cycle has severe negative consequences for ecosystems, creating a need to understand how different invasive grass species alter fuel characteristics and fire behavior, as well as effective treatments to control their abundance. To address these needs and increase fire and natural resource management preparedness, we performed a review and meta-analysis of recent (1985 to 2023) scientific literature. We focused on the Intermountain West, USA, where six dominant invasive grass species have already transformed ecosystems, including winter annuals—cheatgrass (Bromus tectorum L.), medusahead [Taeniatherum caput-medusae (L.) Nevski], red brome (Bromus rubens L.), and Mediterranean grass [Schismus arabicus Nees and Schismus barbatus (Loefl. ex L.) Thell]; and summer perennials—buffelgrass [Pennisetum ciliare (L.) Link] and Lehmann’s lovegrass (Eragrostis lehmanniana Nees). Within the 204 selected articles, B. tectorum was the most well-studied species, treatment effectiveness was the most common study type, and more studies addressed fuel accumulation than fire characteristics. While initial reductions in B. tectorum following wildfire were followed by large increases, P. ciliare initially increased and then steadily declined, and other invasive grass species had no significant post-fire changes over time. Chemical treatments were more effective than other treatments for B. tectorum, P. ciliare, and Schismus spp., although T. caput-medusae had a greater reduction with chemical treatments compared with the other species. In many cases, treatment effectiveness was enhanced when treatment types were combined or repeat treatments were conducted. Both B. tectorum and T. caput-medusae increased to pretreatment conditions within 3 and 5 yr, respectively, although there were no detectable trends for other species. Our results provide comprehensive comparisons of the effect of invasive grass species on fuel and fire characteristics and much needed insight on effective strategies for reducing invasive grass impacts to ecosystems.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/inp.2025.10037","usgsCitation":"Costanzo, S.A., and Munson, S.M., 2026, Invasive grass influences on the fire cycle and treatment effectiveness to control their abundance in the Intermountain West, USA: Invasive Plant Science and Management, v. 19, e9, 14 p., https://doi.org/10.1017/inp.2025.10037.","productDescription":"e9, 14 p.","ipdsId":"IP-180413","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":503781,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/inp.2025.10037","text":"Publisher Index Page"},{"id":503623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Intermountain West","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.20191397759243,\n 25.799924192791465\n ],\n [\n -97.08570338392701,\n 27.71184091561038\n ],\n [\n -93.6302752119999,\n 29.556685714308273\n ],\n [\n -94.01839885426105,\n 33.569041394798376\n ],\n [\n -94.4114118449989,\n 33.722907975080744\n ],\n [\n -94.56895248066871,\n 39.022669330750915\n ],\n [\n -96.60465919702102,\n 42.569015980091905\n ],\n [\n -96.46212892791729,\n 43.6378822578892\n ],\n [\n -96.39391822590662,\n 45.338271212362\n ],\n [\n -96.94111957465111,\n 45.62766984448126\n ],\n [\n -96.61784261870793,\n 45.89323403476516\n ],\n [\n -97.17558648749741,\n 48.98246735485887\n ],\n [\n -123.26834630518886,\n 49.03338334571416\n ],\n [\n -123.46280430453601,\n 48.2115191006188\n ],\n [\n -125.1266932544844,\n 48.53825793050066\n ],\n [\n -124.90887642277227,\n 42.71034652981541\n ],\n [\n -124.72623919511037,\n 40.280134924916354\n ],\n [\n -123.58516086013148,\n 38.358363455906925\n ],\n [\n -120.78592614086082,\n 34.150701834353896\n ],\n [\n -117.4406932191169,\n 32.58728711854212\n ],\n [\n -115.08463551733962,\n 32.678820058860225\n ],\n [\n -111.14923026778985,\n 31.34744276818276\n ],\n [\n -108.16055723699336,\n 31.396141648927667\n ],\n [\n -108.25091900170565,\n 31.724764402083153\n ],\n [\n -106.45651564913305,\n 31.72778080722044\n ],\n [\n -105.01577159362975,\n 30.51681285637636\n ],\n [\n -104.44318555219559,\n 29.656464576953027\n ],\n [\n -103.27212932557126,\n 28.98357156768232\n ],\n [\n -102.61396155680703,\n 29.736542062482812\n ],\n [\n -101.46792278734301,\n 29.676484198018315\n ],\n [\n -100.83082980888662,\n 29.22404418236583\n ],\n [\n -100.11024209554432,\n 27.95860988681926\n ],\n [\n -99.63243163801059,\n 27.464923832621068\n ],\n [\n -99.13773657635741,\n 26.387140931185314\n ],\n [\n -97.20191397759243,\n 25.799924192791465\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Costanzo, Sarah A. 0000-0003-4137-1548","orcid":"https://orcid.org/0000-0003-4137-1548","contributorId":346108,"corporation":false,"usgs":true,"family":"Costanzo","given":"Sarah","middleInitial":"A.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":960598,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Munson, Seth M. 0000-0002-2736-6374 smunson@usgs.gov","orcid":"https://orcid.org/0000-0002-2736-6374","contributorId":1334,"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},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":960599,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274206,"text":"70274206 - 2026 - Earthquake catalog for the Fairbanks region of central Alaska, 2014–2024, based on waveform cross-correlation","interactions":[],"lastModifiedDate":"2026-03-12T14:13:31.609824","indexId":"70274206","displayToPublicDate":"2026-02-02T09:08:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake catalog for the Fairbanks region of central Alaska, 2014–2024, based on waveform cross-correlation","docAbstract":"The Fairbanks region of central Alaska is part of a broad zone of intraplate crustal deformation, situated north of the Denali fault and north of the ongoing collision and flat‐slab subduction of the Yakutat oceanic plateau. Seismicity in the Fairbanks region occurs both in diffuse areas as well as in well‐defined lineaments, such as the left‐lateral Salcha fault, which hosted the 1937 M8 7.3 earthquake. Starting with the regional seismicity catalog, we perform waveform cross‐correlation, network‐matched filtering, and relative relocation to obtain an enhanced seismicity catalog over the time period 2014–2024. Based on the relocated catalog, we interpret a set of 15 fault segments, including two conjugate faults and two new faults east of the previously documented fault system. Considering the combined seismicity in the Minto and Fairbanks regions, the median depth of seismicity decreases from east (6 km) to west (20 km). Our interpreted faults provide guidance for future tectonic modeling and assessment of seismic hazards in this region.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220250342","usgsCitation":"Sims, N.E., Tape, C., Ruppert, N., and West, M.E., 2026, Earthquake catalog for the Fairbanks region of central Alaska, 2014–2024, based on waveform cross-correlation: Seismological Research Letters, v. 97, no. 2A, p. 877-896, https://doi.org/10.1785/0220250342.","productDescription":"20 p.","startPage":"877","endPage":"896","ipdsId":"IP-184501","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":501098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0220250342","text":"Publisher Index Page"},{"id":500986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Fairbanks region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -154,\n 66.5\n ],\n [\n -154,\n 63\n ],\n [\n -144,\n 63\n ],\n [\n -144,\n 66.5\n ],\n [\n -154,\n 66.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"97","issue":"2A","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Sims, Nealey E.","contributorId":367184,"corporation":false,"usgs":false,"family":"Sims","given":"Nealey","middleInitial":"E.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":956981,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tape, Carl","contributorId":219960,"corporation":false,"usgs":false,"family":"Tape","given":"Carl","email":"","affiliations":[{"id":40098,"text":"Geophysical Institute, 2156 Koyukuk Drive, University of Alaska Fairbanks, Fairbanks, AK 99775","active":true,"usgs":false}],"preferred":false,"id":956982,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppert, Natalia A. 0000-0003-0589-1159","orcid":"https://orcid.org/0000-0003-0589-1159","contributorId":351514,"corporation":false,"usgs":true,"family":"Ruppert","given":"Natalia A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":956983,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"West, Michael E.","contributorId":367185,"corporation":false,"usgs":false,"family":"West","given":"Michael","middleInitial":"E.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":956984,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273806,"text":"70273806 - 2026 - Origins, evolutions, and future directions of Landsat science products for advancing global inland water and coastal ocean observations","interactions":[],"lastModifiedDate":"2026-02-03T14:43:09.95163","indexId":"70273806","displayToPublicDate":"2026-02-02T08:37:01","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1426,"text":"Earth System Science Data","active":true,"publicationSubtype":{"id":10}},"title":"Origins, evolutions, and future directions of Landsat science products for advancing global inland water and coastal ocean observations","docAbstract":"In April 2020, the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center introduced a Level 2 provisional Aquatic Reflectance (AR) product for the Landsat 8 Operational Land Imager (OLI), marking the initial phase in developing a standardized global product for Landsat-derived surface water measurements. The goal of USGS EROS aquatic product research and development is to prepare for an operational processing architecture for Landsat Collection 3 in the late 2020s that will enable use of quality-controlled data for emerging Landsat aquatic science applications. To achieve this, we released a subset of the Landsat 8/9 provisional AR products (Crawford et al., 2025, https://doi.org/10.5066/P14MBBRM) and examined its general performance through the Science Algorithms to Operations (SATO) framework alongside quantitative assessment using community made inland water data records (GLObal Reflectance community dataset for Imaging and optical sensing of Aquatic environments, GLORIA) and radiometric coastal validation platforms (NASA’s Ocean Color component of the Aerosol Robotic Network, AERONET-OC). Variability within the validation datasets indicate that the performance of the Landsat 8/9 provisional AR retrieval is highly context-dependent; errors are minimal in optically simple waters (e.g., clear to moderately turbid coastal waters) but increase considerably in optically complex waters where factors such as elevated levels of turbidity, chlorophyll (Chl a) concentrations, or colored dissolved organic matter (CDOM) dominate the water column. Additionally, this paper examines key algorithmic considerations for atmospheric correction, highlighting factors that influence accuracy, scalability, and computational efficiency necessary for collection processing in the operational Landsat Product Generation System (LPGS). This paper is intended to communicate with aquatic scientists, satellite oceanographers, and the broader Earth observation community on the origins, requirements, challenges, successes, and future objectives for operationalizing global AR data products for Landsat satellite missions.
","language":"English","publisher":"Copernicus Publications","doi":"10.5194/essd-2025-317","usgsCitation":"Benjamin Page, Crawford, C., Arab, S., Gail Schmidt, Barnes, C., and Wellington, D., 2026, Origins, evolutions, and future directions of Landsat science products for advancing global inland water and coastal ocean observations: Earth System Science Data, v. 18, no. 2, p. 779-800, https://doi.org/10.5194/essd-2025-317.","productDescription":"22 p.","startPage":"779","endPage":"800","ipdsId":"IP-170237","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":499436,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Benjamin Page 0000-0002-9871-2406","orcid":"https://orcid.org/0000-0002-9871-2406","contributorId":359007,"corporation":false,"usgs":false,"family":"Benjamin Page","affiliations":[{"id":85733,"text":"Earth Space Technology Services (ESTS)","active":true,"usgs":false}],"preferred":false,"id":954888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":954889,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Arab, Saeed 0000-0003-1602-8801","orcid":"https://orcid.org/0000-0003-1602-8801","contributorId":299964,"corporation":false,"usgs":false,"family":"Arab","given":"Saeed","email":"","affiliations":[{"id":61731,"text":"KBR","active":true,"usgs":false}],"preferred":false,"id":954890,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gail Schmidt 0000-0002-9684-8158","orcid":"https://orcid.org/0000-0002-9684-8158","contributorId":359008,"corporation":false,"usgs":false,"family":"Gail Schmidt","affiliations":[{"id":57411,"text":"KBR, Inc.","active":true,"usgs":false}],"preferred":false,"id":954891,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barnes, Christopher 0000-0002-4608-4364","orcid":"https://orcid.org/0000-0002-4608-4364","contributorId":359949,"corporation":false,"usgs":false,"family":"Barnes","given":"Christopher","affiliations":[{"id":68993,"text":"KBR Inc., Contractor to the USGS","active":true,"usgs":false}],"preferred":false,"id":954892,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wellington, Danika F. 0000-0002-2130-0075","orcid":"https://orcid.org/0000-0002-2130-0075","contributorId":237074,"corporation":false,"usgs":false,"family":"Wellington","given":"Danika F.","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":954893,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273992,"text":"70273992 - 2026 - Assimilation efficiency of rainbow trout fed natural diets","interactions":[],"lastModifiedDate":"2026-02-23T15:18:01.627278","indexId":"70273992","displayToPublicDate":"2026-02-02T08:14:23","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Assimilation efficiency of rainbow trout fed natural diets","docAbstract":"Assimilation efficiency is a critical assumption of stable isotope mixing models and bioenergetics models, yet few studies examine how assimilation efficiency influences modeling inferences. We conducted laboratory experiments to determine rainbow trout (Oncorhynchus mykiss) assimilation efficiencies. Assimilation efficiency averaged 55.8% (SE ± 0.90) and 64.5% (SE ± 1.98) at the 10% and 25% ration levels, respectively, and did not differ significantly. Caloric energy egested in feces was not significantly different between ration levels. Caloric energy excreted in ammonia and urea was significantly different between the ration levels, with a higher amount at the 25% ration level. Absorption efficiency was significantly greater at a higher ration level. Percent energy egested in feces was significantly greater at lower ration levels. Percent energy excreted as ammonia and urea was high compared to previous studies and did not differ significantly by ration level. Our estimates of assimilation efficiency of rainbow trout (56% and 65%) were lower than some previously reported estimates, and our estimates of energy losses (feces and ammonia) were higher than some previous estimates. As knowledge of species-specific assimilation efficiencies increases, our ability to draw strong inferences and improve the accuracy of model predictions will improve.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10641-026-01804-0","usgsCitation":"Flinders, J.M., Magoulick, D.D., 2026, Assimilation efficiency of rainbow trout fed natural diets: Environmental Biology of Fishes, v. 109, 40, 7 p., https://doi.org/10.1007/s10641-026-01804-0.","productDescription":"40, 7 p.","ipdsId":"IP-176944","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":500831,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10641-026-01804-0","text":"Publisher Index Page"},{"id":500402,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"109","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Flinders, Jon M.","contributorId":366527,"corporation":false,"usgs":false,"family":"Flinders","given":"Jon","middleInitial":"M.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":956030,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Magoulick, Daniel D. 0000-0001-9665-5957 danmag@usgs.gov","orcid":"https://orcid.org/0000-0001-9665-5957","contributorId":2513,"corporation":false,"usgs":true,"family":"Magoulick","given":"Daniel","email":"danmag@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":956031,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274035,"text":"70274035 - 2026 - Foraging benefits promote fitness in migratory mule deer","interactions":[],"lastModifiedDate":"2026-02-20T15:20:10.864535","indexId":"70274035","displayToPublicDate":"2026-02-02T08:07:10","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1352,"text":"Current Biology","active":true,"publicationSubtype":{"id":10}},"title":"Foraging benefits promote fitness in migratory mule deer","docAbstract":"Although migration is widespread among ungulates, the fitness benefits associated with different migratory tactics have rarely been documented. Here, we evaluated a 9-year dataset on a migratory population of mule deer to test the hypothesis that long-distance migration provides access to seasonal forage which translates into demographic benefits. Mule deer that migrated long (>130 km) and medium distances (50–130 km) accessed higher forage quality and thus gained 1.3–2.7 times more fat over the growing season compared to mule deer that remained year-round as residents within a desert ecosystem. Elevated levels of fat translated to ∼20% higher probability of adult annual survival than residents. Mule deer that remained year-round in the desert portion of the study area were so resource-limited that they raised fawns at the expense of their own survival. Due to their higher levels of fat, annual survival, and fetal rates, migrants showed more robust population growth (λ = 1.03) compared to residents, which exhibited projected declines in population size over time (λ = 0.95). These results support the notion that migration translates into demographic benefits and highlight the urgent conservation work necessary to sustain diverse ungulate migrations amid habitat alteration due to climate change and an expanding web of linear barriers to movement.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.cub.2025.12.030","usgsCitation":"Ortega, A.C., LaSharr, T.N., Burke, P.W., Lionberger, P., Valdez, M., Monteith, K.L., Kauffman, M.J., 2026, Foraging benefits promote fitness in migratory mule deer: Current Biology, v. 36, no. 3, p. 799-808, https://doi.org/10.1016/j.cub.2025.12.030.","productDescription":"16 p.","startPage":"799","endPage":"808","ipdsId":"IP-183817","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":500340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Red Desert, south-central Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.3710872029688,\n 43.1858103856338\n ],\n [\n -110.3710872029688,\n 42.046057654877615\n ],\n [\n -108.94810270575864,\n 42.046057654877615\n ],\n [\n -108.94810270575864,\n 43.1858103856338\n ],\n [\n -110.3710872029688,\n 43.1858103856338\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"36","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ortega, Anna C.","contributorId":366780,"corporation":false,"usgs":false,"family":"Ortega","given":"Anna","middleInitial":"C.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":956232,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LaSharr, Tayler N.","contributorId":366781,"corporation":false,"usgs":false,"family":"LaSharr","given":"Tayler","middleInitial":"N.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":956233,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burke, Patrick W.","contributorId":366782,"corporation":false,"usgs":false,"family":"Burke","given":"Patrick","middleInitial":"W.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":956234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lionberger, Patrick","contributorId":337580,"corporation":false,"usgs":false,"family":"Lionberger","given":"Patrick","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":956235,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Valdez, Miguel","contributorId":337582,"corporation":false,"usgs":false,"family":"Valdez","given":"Miguel","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":956236,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Monteith, Kevin L.","contributorId":366791,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin","middleInitial":"L.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":956237,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":210786,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":484,"text":"Northwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":956238,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70273899,"text":"70273899 - 2026 - New methods provide a 300–year perspective on modern area burned in two wilderness areas of the southwest United States","interactions":[],"lastModifiedDate":"2026-02-12T15:12:38.190359","indexId":"70273899","displayToPublicDate":"2026-02-02T08:05:57","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"New methods provide a 300–year perspective on modern area burned in two wilderness areas of the southwest United States","docAbstract":"Climate change, expanding human ignitions, and increased fuels from fire exclusion are driving increases in area burned and fire severity in dry conifer forests of the western United States. Increasing area burned is occurring against the backdrop of a large fire deficit caused by over a century of fire exclusion. A key land management question is whether historically frequent fire regimes can be restored. Accurate estimates of historical annual area burned (prior to circa 1900) are necessary to evaluate modern area burned (after circa 1900), but are difficult to derive, and have rarely been calibrated or validated against modern fires, leaving their accuracy uncertain. We developed new methods to use tree-ring fire scars to reconstruct historical annual area burned and compare it to modern annual area burned. We focused on two southwestern US wilderness areas—Saguaro National Park (SAGU) and the Gila Wilderness (GILA)—that have a long history of using prescribed and managed fires. The abundant modern low- and moderate-severity fires allowed us to (1) calibrate and validate the fire-scar models against mapped fires to derive the first uncertainty estimates of reconstructed annual area burned and (2) test whether active fire management can help restore annual area burned to historical levels. A multi-model ensemble consisting of 10 individual member models accurately estimated area burned of mapped modern fires with no consistent biases. Each member model had distinct strengths and assumptions that made them suitable for specific applications (e.g., the synchrony model is easily applied, and Thiessen polygons provide spatially explicit area burned estimates). The accurate reconstruction of modern area burned from relatively sparse fire-scar data at GILA suggests that dense grids may not be necessary for accurate reconstructions. Our findings reveal that despite the near absence of fire in the early 20th century, both annual and 20-year sums of area burned in recent decades are back within historical levels at GILA, and trending toward historical levels at SAGU. These results demonstrate that fire management can help restore the historically prevalent, ecologically important process of widespread, frequent, low-to-moderate-severity fire in dry conifer forests.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70471","usgsCitation":"Farris, C.A., Margolis, E.Q., Iniguez, J., Falk, D., Gerow, K., Baisan, C., Allen, C., and Swetnam, T., 2026, New methods provide a 300–year perspective on modern area burned in two wilderness areas of the southwest United States: Ecosphere, v. 17, no. 2, e70471, 29 p., https://doi.org/10.1002/ecs2.70471.","productDescription":"e70471, 29 p.","ipdsId":"IP-178352","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":499947,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70471","text":"Publisher Index Page"},{"id":499800,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, New Mexico","otherGeospatial":"Gila Wilderness, Saguaro National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.86590653888511,\n 33.756145710724184\n ],\n [\n -108.86590653888511,\n 32.727467884242714\n ],\n [\n -107.59931693774328,\n 32.727467884242714\n ],\n [\n -107.59931693774328,\n 33.756145710724184\n ],\n [\n -108.86590653888511,\n 33.756145710724184\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.76309644861847,\n 32.38160500186068\n ],\n [\n -110.76309644861847,\n 32.04323490904622\n ],\n [\n -110.3491545222334,\n 32.04323490904622\n ],\n [\n -110.3491545222334,\n 32.38160500186068\n ],\n [\n -110.76309644861847,\n 32.38160500186068\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Farris, Calvin A.","contributorId":292802,"corporation":false,"usgs":false,"family":"Farris","given":"Calvin","email":"","middleInitial":"A.","affiliations":[{"id":63015,"text":"National Park Service, Division of Fire and Aviation Management, P.O. Box 1713, Klamath Falls, OR 97601, USA","active":true,"usgs":false}],"preferred":false,"id":955686,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Margolis, Ellis Q. 0000-0002-0595-9005 emargolis@usgs.gov","orcid":"https://orcid.org/0000-0002-0595-9005","contributorId":173538,"corporation":false,"usgs":true,"family":"Margolis","given":"Ellis","email":"emargolis@usgs.gov","middleInitial":"Q.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":955687,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iniguez, Jose","contributorId":298184,"corporation":false,"usgs":false,"family":"Iniguez","given":"Jose","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":955688,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falk, D.A.","contributorId":179335,"corporation":false,"usgs":false,"family":"Falk","given":"D.A.","affiliations":[],"preferred":false,"id":955689,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gerow, K.","contributorId":171550,"corporation":false,"usgs":false,"family":"Gerow","given":"K.","email":"","affiliations":[],"preferred":false,"id":955690,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baisan, C.H.","contributorId":366357,"corporation":false,"usgs":false,"family":"Baisan","given":"C.H.","affiliations":[{"id":48442,"text":"Univ of AZ","active":true,"usgs":false}],"preferred":false,"id":955691,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Allen, C.D.","contributorId":366358,"corporation":false,"usgs":false,"family":"Allen","given":"C.D.","affiliations":[{"id":82169,"text":"Univ of NM","active":true,"usgs":false}],"preferred":false,"id":955692,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Swetnam, T.W.","contributorId":179331,"corporation":false,"usgs":false,"family":"Swetnam","given":"T.W.","affiliations":[],"preferred":false,"id":955693,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273808,"text":"70273808 - 2026 - Simulated ground motion dataset in the Azores Plateau, Portugal, on rock and soil sites","interactions":[],"lastModifiedDate":"2026-06-02T16:28:49.905185","indexId":"70273808","displayToPublicDate":"2026-02-02T07:53:36","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":23286,"text":"Journal of Earthquake Engineering (JEE)","active":true,"publicationSubtype":{"id":10}},"title":"Simulated ground motion dataset in the Azores Plateau, Portugal, on rock and soil sites","docAbstract":"Building on a previously developed bedrock dataset, this study extends the Azores Plateau ground motion simulations to include soil-amplified records and introduces a comprehensive validation framework. Soil amplification is modeled using one-dimensional soil profiles. A stochastic source-based approach is employed to generate the dataset, incorporating randomization of input-model parameters to account for the aleatory uncertainty in seismic activity. The accuracy of the dataset is verified through a comprehensive validation framework, showing that the randomization effectively captures variance and inter-period correlation observed in records. This work provides a robust dataset for advancing seismic hazard and risk assessment in the Azores Plateau.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/13632469.2026.2619832","usgsCitation":"Karimzadeh, S., Hussaini, S., Caicedo, D., Alexandra Carvalho, Rezaeian, S., and Lourenco, P.B., 2026, Simulated ground motion dataset in the Azores Plateau, Portugal, on rock and soil sites: Journal of Earthquake Engineering (JEE), v. 30, no. 8, p. 1774-1802, https://doi.org/10.1080/13632469.2026.2619832.","productDescription":"29 p.","startPage":"1774","endPage":"1802","ipdsId":"IP-184242","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":499929,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/13632469.2026.2619832","text":"Publisher Index Page"},{"id":499438,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Portugal","otherGeospatial":"central and eastern Azores islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -28.93285079773804,\n 39.26675694602011\n ],\n [\n -28.93285079773804,\n 38.11219810967543\n ],\n [\n -26.93875496541213,\n 38.11219810967543\n ],\n [\n -26.93875496541213,\n 39.26675694602011\n ],\n [\n -28.93285079773804,\n 39.26675694602011\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"30","issue":"8","noUsgsAuthors":false,"publicationDate":"2026-02-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Karimzadeh, Shaghayegh","contributorId":365826,"corporation":false,"usgs":false,"family":"Karimzadeh","given":"Shaghayegh","affiliations":[{"id":87230,"text":"Department of Civil Engineering, University of Minho, Institute for Sustainability and Innovation in Structural Engineering, ARISE, Guimarães, Portugal.","active":true,"usgs":false}],"preferred":false,"id":954894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hussaini, S.M. Sajad","contributorId":365827,"corporation":false,"usgs":false,"family":"Hussaini","given":"S.M. Sajad","affiliations":[{"id":87230,"text":"Department of Civil Engineering, University of Minho, Institute for Sustainability and Innovation in Structural Engineering, ARISE, Guimarães, Portugal.","active":true,"usgs":false}],"preferred":false,"id":954895,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caicedo, Daniel","contributorId":365828,"corporation":false,"usgs":false,"family":"Caicedo","given":"Daniel","affiliations":[{"id":87230,"text":"Department of Civil Engineering, University of Minho, Institute for Sustainability and Innovation in Structural Engineering, ARISE, Guimarães, Portugal.","active":true,"usgs":false}],"preferred":false,"id":954896,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Alexandra Carvalho","contributorId":365829,"corporation":false,"usgs":false,"family":"Alexandra Carvalho","affiliations":[{"id":87231,"text":"National Laboratory for Civil Engineering (LNEC), Lisbon, Portugal.","active":true,"usgs":false}],"preferred":false,"id":954897,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rezaeian, Sanaz 0000-0001-7589-7893","orcid":"https://orcid.org/0000-0001-7589-7893","contributorId":238513,"corporation":false,"usgs":true,"family":"Rezaeian","given":"Sanaz","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":954898,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lourenco, Paulo B.","contributorId":365830,"corporation":false,"usgs":false,"family":"Lourenco","given":"Paulo","middleInitial":"B.","affiliations":[{"id":87230,"text":"Department of Civil Engineering, University of Minho, Institute for Sustainability and Innovation in Structural Engineering, ARISE, Guimarães, Portugal.","active":true,"usgs":false}],"preferred":false,"id":954899,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70273864,"text":"70273864 - 2026 - Estimating paleotemperature using stable isotopes of soil-formed phyllosilicates from paleosols: A review","interactions":[],"lastModifiedDate":"2026-02-10T14:52:37.3928","indexId":"70273864","displayToPublicDate":"2026-02-02T07:45:08","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Estimating paleotemperature using stable isotopes of soil-formed phyllosilicates from paleosols: A review","docAbstract":"Fossilized soils, or paleosols, contain soil-formed phyllosilicates whose stable isotopic compositions may be used to calculate paleotemperature and thus reconstruct ancient terrestrial environments. Though paleosols are common in the geologic record, the use of phyllosilicates as paleotemperature proxies is limited in the literature owing to difficulties with selecting optimal paleosols, isolation from non-clay minerals and organic materials, mixtures of phyllosilicates in natural samples, wide variations of chemical compositions for phyllosilicates, and limited to undefined equilibrium fractionation factors between phyllosilicates-water. Here, we address these challenges by examining and comparing methods used for sample selection, mineral isolation, pretreatments, mineral identification, conventional and developing methods for oxygen and hydrogen isotopic analyses, and determination of phyllosilicate-water equilibrium fractionation factors, concluding with recommendations for best approaches for paleotemperature estimation. Additionally, we discuss how to identify and avoid detrital phyllosilicates, the impacts of diagenesis, comparison of stable isotope and non-isotope paleosol paleotemperature proxies, and challenges and opportunities for broadly using paleosols as paleoclimate archives. With ongoing efforts to refine this multi-faceted paleotemperature approach, the stable isotope geochemistry of soil-formed phyllosilicates continues to be an invaluable proxy system, enhancing our understanding of terrestrial paleoenvironments and paleoclimate.","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2026.105417","usgsCitation":"Andrzejewski, K., McIntosh, J.A., Gulbranson, E.L., and Ibarra, D., 2026, Estimating paleotemperature using stable isotopes of soil-formed phyllosilicates from paleosols: A review: Earth-Science Reviews, v. 275, 105417, 22 p., https://doi.org/10.1016/j.earscirev.2026.105417.","productDescription":"105417, 22 p.","ipdsId":"IP-176209","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":499939,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.earscirev.2026.105417","text":"Publisher Index Page"},{"id":499711,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","city":"Russell","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.29064471656534,\n 39.275688945589025\n ],\n [\n -99.29064471656534,\n 38.63142013340354\n ],\n [\n -98.38736996174445,\n 38.63142013340354\n ],\n [\n -98.38736996174445,\n 39.275688945589025\n ],\n [\n -99.29064471656534,\n 39.275688945589025\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"275","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Andrzejewski, Kate","contributorId":366118,"corporation":false,"usgs":false,"family":"Andrzejewski","given":"Kate","affiliations":[{"id":35641,"text":"Kansas Geological Survey","active":true,"usgs":false}],"preferred":false,"id":955315,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McIntosh, Julia A. 0000-0003-2819-8664","orcid":"https://orcid.org/0000-0003-2819-8664","contributorId":331662,"corporation":false,"usgs":true,"family":"McIntosh","given":"Julia","email":"","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":955316,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gulbranson, Erik L.","contributorId":366119,"corporation":false,"usgs":false,"family":"Gulbranson","given":"Erik","middleInitial":"L.","affiliations":[{"id":84345,"text":"Gustavus Adolphus College","active":true,"usgs":false}],"preferred":false,"id":955317,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ibarra, Daniel","contributorId":366121,"corporation":false,"usgs":false,"family":"Ibarra","given":"Daniel","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":955318,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70273888,"text":"70273888 - 2026 - Integrating climate and anthropogenic dynamics can inform multifaceted management for declining mule deer populations","interactions":[],"lastModifiedDate":"2026-02-12T16:04:53.061811","indexId":"70273888","displayToPublicDate":"2026-02-01T09:58:25","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Integrating climate and anthropogenic dynamics can inform multifaceted management for declining mule deer populations","docAbstract":"Wildlife and their habitats face profound challenges from climate and landscape-scale changes that extend beyond the influence and time horizon of most biologists and land managers. In this changing environment, long-term datasets can enhance assessments of how demographic trends respond to interactions among local (e.g., habitat restoration decisions) and broad extent drivers, including energy development, to shape wildlife populations. Although many studies evaluate habitat selection or demographics for a single population, our multipopulation, multiscale study quantifies the influence of local management actions given broader environmental forces using both immediate and lagged effects. This approach may be particularly important for species with high site fidelity that may have less adaptive capacity, including mule deer (Odocoileus hemionus), which are experiencing widespread population declines. We analyzed a 40-year (1980–2019) dataset for 37 mule deer populations across Wyoming, USA, to test hypotheses about and quantify the relative influence of conditions within winter use areas on annual rates of juvenile recruitment. Recruitment has been strongly affected by multiple factors largely beyond the control of managers. Land cover (agriculture and shrubland) had the largest positive effects on recruitment, with estimates more than twice the magnitude of other variables, but also had limited presence in some winter use areas. The next strongest effect sizes were shared by energy developments (including oil/gas and wind energy) and climatic conditions, which, except for wind turbines, had broad distributions across winter use areas. Recruitment increased with higher mean winter temperatures and summer precipitation, but declined with wind, oil and gas developments, cumulative drought, and wildfire. Expected increases in drought and decreases in summer precipitation may constrain options to sustain mule deer populations. Although mule deer recruitment may sometimes be enhanced through habitat restoration, effects varied with treatment type, habitat type, and time since treatment. Given large constraining effects of temperature and drought, supporting drought resiliency for important habitat may be useful. Our results can be used to weigh the relative strength of threats and the value of restoration actions, interpret historic demographic change, prioritize populations for conservation, and optimize options for wildlife habitat management.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.70107","usgsCitation":"Hayes, T.A., Johnston, A.N., Hall, L.E., Randall, J., Kauffman, M., Keefe, C., Monteith, K., and Graves, T., 2026, Integrating climate and anthropogenic dynamics can inform multifaceted management for declining mule deer populations: Ecological Applications, v. 36, no. 1, e70107, 21 p., https://doi.org/10.1002/eap.70107.","productDescription":"e70107, 21 p.","ipdsId":"IP-148937","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":484,"text":"Northwest Climate Science Center","active":true,"usgs":true}],"links":[{"id":499952,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.70107","text":"Publisher Index Page"},{"id":499808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.06248692012866,\n 45.028990969926156\n ],\n [\n -104.07597859026953,\n 45.028990969926156\n ],\n [\n -104.07597859026953,\n 40.96979476463608\n ],\n [\n -111.06248692012866,\n 40.96979476463608\n ],\n [\n -111.06248692012866,\n 45.028990969926156\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hayes, Teagan A. 0000-0002-7299-8987","orcid":"https://orcid.org/0000-0002-7299-8987","contributorId":302262,"corporation":false,"usgs":true,"family":"Hayes","given":"Teagan","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":955432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnston, Aaron N. 0000-0003-4659-0504","orcid":"https://orcid.org/0000-0003-4659-0504","contributorId":201768,"corporation":false,"usgs":true,"family":"Johnston","given":"Aaron","email":"","middleInitial":"N.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":955433,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, L. Embere","contributorId":362842,"corporation":false,"usgs":false,"family":"Hall","given":"L.","middleInitial":"Embere","affiliations":[],"preferred":false,"id":955434,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Randall, Jill E.","contributorId":339122,"corporation":false,"usgs":false,"family":"Randall","given":"Jill","middleInitial":"E.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":955435,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":210786,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":484,"text":"Northwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":955436,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keefe, Christopher","contributorId":366211,"corporation":false,"usgs":false,"family":"Keefe","given":"Christopher","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":955437,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Monteith, Kevin","contributorId":279766,"corporation":false,"usgs":false,"family":"Monteith","given":"Kevin","affiliations":[{"id":40829,"text":"uwy","active":true,"usgs":false}],"preferred":false,"id":955438,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":955439,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273959,"text":"70273959 - 2026 - Environmental DNA pilot monitoring program for invasive species and biodiversity assessments on Santa Cruz Island: Interim report, September 2025","interactions":[],"lastModifiedDate":"2026-02-19T16:03:49.86085","indexId":"70273959","displayToPublicDate":"2026-02-01T09:56:48","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—2026/381","title":"Environmental DNA pilot monitoring program for invasive species and biodiversity assessments on Santa Cruz Island: Interim report, September 2025","docAbstract":"The U.S. Geological Survey (USGS) and Southern California Coastal Water Research Project supported Channel Islands National Park, The Nature Conservancy’s (TNC) Santa Cruz Island Preserve, and University of California San Diego (UCSD) researchers in using environmental DNA sampling to monitor for invasive Argentine ant (Linepithema humile) and to describe spatial biodiversity patterns in a freshwater stream on Santa Cruz Island that is colloquially known as Cañada del Puerto Creek (hydrologic unit code 12 number 180600140201). An eDNA autosampler was deployed May 27–June 02, 2025, which filtered and preserved four 2-L water samples every 12 hours (n = 48 samples). These samples were extracted by USGS and shipped to UCSD for targeted eDNA analyses of Argentine ant. Environmental DNA sampling kits were used to filter and preserve water samples at four sites along the creek spanning ~ 5 km of stream distance. Six 1-L samples were collected at each site May 27–28 and samples were analyzed for eDNA metabarcoding using a comprehensive panel, which encompasses species across the tree of life. In these samples, eDNA from 2,134 unique taxa spanning 30 taxonomic groups (e.g., amoebas, insects, plants) were found. These sampling efforts demonstrated how eDNA autonomous and manual sampling approaches can be applied by National Park Service, TNC, and partners at scale to provide otherwise difficult and expensive to acquire information about biological threats and biodiversity.
","language":"English","publisher":"National Park Service","doi":"10.36967/2317065","usgsCitation":"Sepulveda, A., and Theroux, S., 2026, Environmental DNA pilot monitoring program for invasive species and biodiversity assessments on Santa Cruz Island: Interim report, September 2025: Science Report NPS/SR—2026/381, vii, 8 p., https://doi.org/10.36967/2317065.","productDescription":"vii, 8 p.","ipdsId":"IP-183212","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":500193,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Cruz Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.9346364010192,\n 34.10158409225852\n ],\n [\n -119.9346364010192,\n 33.95495636433603\n ],\n [\n -119.5117843852133,\n 33.95495636433603\n ],\n [\n -119.5117843852133,\n 34.10158409225852\n ],\n [\n -119.9346364010192,\n 34.10158409225852\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":955924,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Theroux, Susanna","contributorId":244544,"corporation":false,"usgs":false,"family":"Theroux","given":"Susanna","affiliations":[],"preferred":false,"id":955925,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70275688,"text":"70275688 - 2026 - Origin of the Pd/Pt ratio of the J-M Reef, Stillwater Complex, Montana, USA","interactions":[],"lastModifiedDate":"2026-05-11T14:36:56.839183","indexId":"70275688","displayToPublicDate":"2026-02-01T09:29:51","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1472,"text":"Economic Geology","active":true,"publicationSubtype":{"id":10}},"title":"Origin of the Pd/Pt ratio of the J-M Reef, Stillwater Complex, Montana, USA","docAbstract":"The J-M reef of the Stillwater Complex is characterized by a high Pd/Pt ratio (mean ~3.8 with a standard error of 0.03) with a homogeneous geospatial distribution at the deposit scale. In this contribution, we demonstrate that the Pd/Pt ratio of the reef is the product of equilibration of an immiscible sulfide liquid with a silicate melt rich in Pd relative to Pt. Despite the high tenors of the J-M reef sulfides (avg 2,700 ppm Pt and 770 ppm Pt), numerical modeling shows that the parental melts did not have extraordinary Pd and Pt concentrations. Instead, the initial composition of a plausible parental silicate melt can have Pd and Pt contents well within the expected range of a normal, mantle-derived partial melt (i.e., ~10–20 ppb for both Pd and Pt with Pd/Pt of ~1). The relative differences in the partitioning behavior of Pt and Pd between sulfide liquid and silicate melt are unlikely to produce a consistent Pd/Pt ratio across a wide range of silicate melt to sulfide liquid mass ratios (i.e., R factors). Instead, the pre-emplacement fractionation of Pt alloy from S-undersaturated silicate magma accounts for the homogeneous and high Pd/Pt ratio of the J-M reef. We show that batch equilibration of sulfide liquid with silicate melt can produce the high Pd/Pt ratios of the reef if the partition coefficients between sulfide liquid and silicate melt for Pd and Pt are extremely high (>106). In an alternative model, Pd enrichment could be achieved by sulfide upgrading in resident footwall mush even if the partition coefficients between sulfide liquid and silicate melt are relatively small (between 104 and 106) because the instantaneous mass ratio of silicate melt to sulfide liquid is small (R ≈ 100–700), so the partitioning behavior of Pt and Pd has little impact on the composition of sulfide liquid.
","language":"English","publisher":"Society of Economic Geologists","doi":"10.5382/econgeo.5217","usgsCitation":"Jenkins, M., and Smith, W.D., 2026, Origin of the Pd/Pt ratio of the J-M Reef, Stillwater Complex, Montana, USA: Economic Geology, v. 121, no. 2, p. 414-427, https://doi.org/10.5382/econgeo.5217.","productDescription":"14 p.","startPage":"414","endPage":"427","ipdsId":"IP-149533","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":504361,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5382/econgeo.5217","text":"Publisher Index Page"},{"id":504263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Stillwater Complex","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -110.333,\n 45.5\n ],\n [\n -109.667,\n 45.5\n ],\n [\n -109.667,\n 45.25\n ],\n [\n -110.333,\n 45.25\n ],\n [\n -110.333,\n 45.5\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"121","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Michael 0000-0002-4261-409X mjenkins@usgs.gov","orcid":"https://orcid.org/0000-0002-4261-409X","contributorId":172433,"corporation":false,"usgs":true,"family":"Jenkins","given":"Michael","email":"mjenkins@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":961406,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, William D.","contributorId":371256,"corporation":false,"usgs":false,"family":"Smith","given":"William","middleInitial":"D.","affiliations":[{"id":36909,"text":"CSIRO","active":true,"usgs":false}],"preferred":false,"id":961407,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274214,"text":"70274214 - 2026 - Living with wildfire in Funny River, Alaska: 2023 Data report","interactions":[],"lastModifiedDate":"2026-03-13T13:58:40.781766","indexId":"70274214","displayToPublicDate":"2026-02-01T08:50:25","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN-109","title":"Living with wildfire in Funny River, Alaska: 2023 Data report","docAbstract":"Homeowner wildfire risk mitigation and preparedness are important components of community wildfire readiness. This report describes the data collected through two efforts conducted in the Funny River, Alaska, study area: (1) parcel-level rapid wildfire risk assessments performed by trained assessors and (2) homeowner surveys in which respondents provided self-assessments of their parcel-level wildfire risk. This project was undertaken to support the Kenai Peninsula Borough Office of Emergency Management and Central Emergency Services to inform decisions about wildfire adaptation. The household surveys explored the social dimensions of wildfire, including understanding of wildfire risk, outreach or communication preferences, mitigation and evacuation preparedness activities, and perceptions of community risk reduction strategies. Overall, the study indicated a community that was engaged in preparing for and mitigating the risk of wildfire; however, more mitigation work with respect to defensible space and home hardening could help reduce overall wildfire risk.
","language":"English","publisher":"USDA Forest Service","doi":"10.2737/RMRS-RN-109","usgsCitation":"Donovan, C., Wittenbrink, S., Brenkert-Smith, H., Kuehn, J., McBride, P., Champ, P.A., Barth, C.M., Meldrum, J., Wagner, C., and Taniguchi, C., 2026, Living with wildfire in Funny River, Alaska: 2023 Data report: Research Note RMRS-RN-109, vi, 161 p., https://doi.org/10.2737/RMRS-RN-109.","productDescription":"vi, 161 p.","ipdsId":"IP-180325","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":501126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Funny River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -150.89402263513273,\n 60.555695875687434\n ],\n [\n -150.89402263513273,\n 60.47080634420749\n ],\n [\n -150.61232052087988,\n 60.47080634420749\n ],\n [\n -150.61232052087988,\n 60.555695875687434\n ],\n [\n -150.89402263513273,\n 60.555695875687434\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Donovan, Colleen","contributorId":240586,"corporation":false,"usgs":false,"family":"Donovan","given":"Colleen","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":957062,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wittenbrink, Suzanne","contributorId":333353,"corporation":false,"usgs":false,"family":"Wittenbrink","given":"Suzanne","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":957063,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":957064,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kuehn, Josh","contributorId":269634,"corporation":false,"usgs":false,"family":"Kuehn","given":"Josh","email":"","affiliations":[{"id":56021,"text":"Colorado State Forest Service","active":true,"usgs":false}],"preferred":false,"id":957065,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McBride, Paul","contributorId":367213,"corporation":false,"usgs":false,"family":"McBride","given":"Paul","affiliations":[{"id":87597,"text":"Office of Emergency Management, Kenai Peninsula Borough, Alaska","active":true,"usgs":false}],"preferred":false,"id":957066,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Champ, Patricia A. 0000-0003-1917-883X","orcid":"https://orcid.org/0000-0003-1917-883X","contributorId":360956,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","middleInitial":"A.","affiliations":[{"id":86128,"text":"U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":957067,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barth, Christopher M.","contributorId":367214,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86132,"text":"U.S. Department of Agriculture, Forest Service, Washington Office","active":true,"usgs":false}],"preferred":false,"id":957068,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":957069,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":957070,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taniguchi, Christine","contributorId":355605,"corporation":false,"usgs":false,"family":"Taniguchi","given":"Christine","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":957071,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70274140,"text":"70274140 - 2026 - Living with wildfire in Santa Fe, New Mexico: 2024 data report","interactions":[],"lastModifiedDate":"2026-03-02T14:17:54.557296","indexId":"70274140","displayToPublicDate":"2026-02-01T08:48:59","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":72,"text":"Research Note","active":false,"publicationSubtype":{"id":1}},"seriesNumber":"RMRS-RN-111","title":"Living with wildfire in Santa Fe, New Mexico: 2024 data report","docAbstract":"Community wildfire readiness includes homeowner wildfire risk mitigation and wildfire evacuation preparedness. This report presents results from a household survey distributed to homeowners in the study area around Santa Fe, New Mexico in 2024 which was a follow-up to a previous survey of homeowners of the same residences, consisting of mostly identical questions, that was conducted in 2021. This follow-up survey was motivated by the nearby 2022 Hermit’s Peak/Calf Canyon Fire. Comparison of results indicates general stability in the aggregated responses to most survey questions. As found previously, 2024 results indicate that Santa Fe survey respondents are engaged in preparing for wildfire, yet more could be done to reduce risk in study communities. Despite decreases between 2021 and 2024 in the acceptability of fuels treatment methods that concern the use of fire, respondents generally support multiple types of programs intended to reduce wildfire risk to the city, including most but not all types of fuels treatments on public lands.
","language":"English","publisher":"USDA Forest Service","doi":"10.2737/RMRS-RN-111","usgsCitation":"Meldrum, J., Donovan, C., Wittenbrink, S., Chavarria, P., Champ, P.A., Brenkert-Smith, H., Barth, C.M., and Wagner, C., 2026, Living with wildfire in Santa Fe, New Mexico: 2024 data report: Research Note RMRS-RN-111, vi, 71 p., https://doi.org/10.2737/RMRS-RN-111.","productDescription":"vi, 71 p.","ipdsId":"IP-180270","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":500642,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Mexico","city":"Santa Fe","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.71813154034228,\n 35.93514709757443\n ],\n [\n -106.10664457403807,\n 35.93514709757443\n ],\n [\n -106.10664457403807,\n 35.53121746398324\n ],\n [\n -105.71813154034228,\n 35.53121746398324\n ],\n [\n -105.71813154034228,\n 35.93514709757443\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Meldrum, James R. 0000-0001-5250-3759 jmeldrum@usgs.gov","orcid":"https://orcid.org/0000-0001-5250-3759","contributorId":195484,"corporation":false,"usgs":true,"family":"Meldrum","given":"James","email":"jmeldrum@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":956666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Donovan, Colleen","contributorId":240586,"corporation":false,"usgs":false,"family":"Donovan","given":"Colleen","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":956667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wittenbrink, Suzanne","contributorId":333353,"corporation":false,"usgs":false,"family":"Wittenbrink","given":"Suzanne","email":"","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":956668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chavarria, Porfirio","contributorId":336691,"corporation":false,"usgs":false,"family":"Chavarria","given":"Porfirio","email":"","affiliations":[{"id":80830,"text":"City of Santa Fe Fire Departments","active":true,"usgs":false}],"preferred":false,"id":956669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Champ, Patricia A. 0000-0003-1917-883X","orcid":"https://orcid.org/0000-0003-1917-883X","contributorId":360956,"corporation":false,"usgs":false,"family":"Champ","given":"Patricia","middleInitial":"A.","affiliations":[{"id":86128,"text":"U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":956670,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brenkert-Smith, Hannah 0000-0001-6117-8863","orcid":"https://orcid.org/0000-0001-6117-8863","contributorId":195485,"corporation":false,"usgs":false,"family":"Brenkert-Smith","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":956671,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Barth, Christopher M.","contributorId":367066,"corporation":false,"usgs":false,"family":"Barth","given":"Christopher","middleInitial":"M.","affiliations":[{"id":86132,"text":"U.S. Department of Agriculture, Forest Service, Washington Office","active":true,"usgs":false}],"preferred":false,"id":956672,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagner, Carolyn","contributorId":240587,"corporation":false,"usgs":false,"family":"Wagner","given":"Carolyn","affiliations":[{"id":48103,"text":"Wildfire Research (WiRē) Center","active":true,"usgs":false}],"preferred":false,"id":956673,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70273809,"text":"70273809 - 2026 - Long- versus short-term changes in seafloor elevation and volume of the Upper Florida Keys Reef Tract: 1935–2002 and 2002–2016","interactions":[],"lastModifiedDate":"2026-02-03T14:56:43.906351","indexId":"70273809","displayToPublicDate":"2026-02-01T08:48:06","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Long- versus short-term changes in seafloor elevation and volume of the Upper Florida Keys Reef Tract: 1935–2002 and 2002–2016","docAbstract":"Coral reefs provide immense ecosystem and economic value, supporting biodiversity, fisheries, tourism, and coastal protection worth billions annually. However, widespread degradation from thermal stress, storms, disease, and human impacts has caused significant coral cover and reef structure loss, increasing coastal vulnerability and economic risks. While coral loss is well-documented, degradation of underlying reef infrastructure and surrounding seafloor changes remain poorly understood. This study addresses this knowledge gap by quantifying seafloor elevation and volume changes across 234.2 km2 of the Upper Florida Keys (UFK) reef tract using historical bathymetric and modern lidar (light detection and ranging) data collected from two periods with distinctly different disturbance regimes: 1935–2002 (frequent storms and major coral loss) and 2002–2016 (few storms and persistently low coral cover). Analysis of over 25,000 data points revealed substantial elevation and volume loss during 1935–2002 (−0.1 ± 0.8 m; 13.6 × 106 m3 net loss), shifting to minimal gains by 2002–2016 (0.0 ± 0.3 m; 1.6 × 106 m3 net gain). Despite this shift, benthic cover data showed continued declines in stony coral, with increases in macroalgae and octocorals, indicating that limited reef accretion persists even with reduced storm activity. Spatial analyses highlighted variable accretion and erosion patterns across habitats and subregions, underscoring the limitations of localized measurements for ecosystem-wide assessments. Our findings demonstrate the value of integrating historical and modern datasets for regional reef monitoring, establishing baselines for restoration planning, and emphasizing the need for continued high-resolution monitoring to guide adaptive management amid ongoing environmental change.
","language":"English","publisher":"MDPI","doi":"10.3390/rs18030463","usgsCitation":"Johnson, S.A., Zawada, D.G., Yates, K., and Jenkins, C., 2026, Long- versus short-term changes in seafloor elevation and volume of the Upper Florida Keys Reef Tract: 1935–2002 and 2002–2016: Remote Sensing, v. 18, no. 3, 463, 28 p., https://doi.org/10.3390/rs18030463.","productDescription":"463, 28 p.","ipdsId":"IP-112501","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":499928,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs18030463","text":"Publisher Index Page"},{"id":499437,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Upper Florida Keys Reef Tract","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.0833,\n 25.5\n ],\n [\n -80.5,\n 25.5\n ],\n [\n -80.5,\n 24.9\n ],\n [\n -80.0833,\n 24.9\n ],\n [\n -80.0833,\n 25.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-02-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Selena Anne-Marie 0000-0003-1015-1788","orcid":"https://orcid.org/0000-0003-1015-1788","contributorId":296373,"corporation":false,"usgs":true,"family":"Johnson","given":"Selena","email":"","middleInitial":"Anne-Marie","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":954900,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zawada, David G. 0000-0003-4547-4878 dzawada@usgs.gov","orcid":"https://orcid.org/0000-0003-4547-4878","contributorId":331852,"corporation":false,"usgs":true,"family":"Zawada","given":"David","email":"dzawada@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":954901,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yates, Kimberly 0000-0001-8764-0358","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":202055,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":954902,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenkins, Connor Monroe 0000-0003-1807-3665","orcid":"https://orcid.org/0000-0003-1807-3665","contributorId":357343,"corporation":false,"usgs":true,"family":"Jenkins","given":"Connor Monroe","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":954903,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275191,"text":"70275191 - 2026 - Understanding the resource potential of natural hydrogen on Earth: Scientific gaps, uncertainties and recommendations","interactions":[],"lastModifiedDate":"2026-04-22T14:57:00.100955","indexId":"70275191","displayToPublicDate":"2026-02-01T07:52:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1431,"text":"Earth-Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Understanding the resource potential of natural hydrogen on Earth: Scientific gaps, uncertainties and recommendations","docAbstract":"A comprehensive scientific research roadmap is essential to bridge knowledge gaps and deepen the understanding of key geological, geochemical, and geophysical aspects of natural hydrogen (H2) as a potential new energy resource. This paper reviews major scientific uncertainties on natural H2, suggesting research priorities, as a guide for defining exploration strategies, techniques, and data interpretation. The uncertainties concern all phases of the natural H2 cycle, from generation (source rocks) through migration (advection and diffusion) and accumulation (reservoir and cap rocks) to the application and interpretation of subsurface and surface geochemical and geophysical exploration techniques. Understanding H2 sources and generation rates (the amount of H2 generated by a given volume of rock over time) is crucial for determining whether a geological H2 system operates as a short-term dynamic system with rapid H2 production and release, or as a conventional gas system with long-term accumulations, analogous to petroleum reservoirs. Preliminary estimates for serpentinisation, radiolysis, and organic matter degradation suggest that H2 generation is not inherently fast, especially for non-hydrothermal continental systems (crystalline basement of shields, ophiolites, peridotite massifs, sedimentary basins), and long-term accumulations, like those of fossil natural gas systems, represent the most likely scenario. The mechanisms of H2 migration through geological formations require application of fundamental principles of fluid-flow physics, distinguishing advection and diffusion, as well as their forms (from gas-phase, bubble flows to aqueous solutions). Additional studies of H2 accumulation and retention in subsurface reservoirs could improve understanding of mechanisms of H2 migration by focusing on the rock fluid-bearing properties and the factors affecting H2 preservation, such as the presence of cap rocks impermeable to H2, pressure conditions, residence times, and microbial or abiotic consumption. Advanced techniques, including reservoir modelling, flow simulations, 3D imaging (micro-CT) of H2-bearing rocks, and extraction and analysis of gas occluded in rocks, can provide insights into the stability and potential recoverability of H2 accumulations. The interpretation of surface exploration techniques, including gas geochemistry, geophysics, and remote sensing, long employed in mineral and energy resource exploration, is now being adapted for natural H2 studies, but challenges remain in the data interpretation. Distinguishing H2 seepage due to geological degassing from H2 produced near the surface by modern microbial processes or artificial sources, such as hammering or drilling for soil-gas sampling, drilling into aquifers, and corrosion in boreholes, is an essential step in exploration. The simple detection of H2 in soils, even in morphological structures like sub-circular depressions or “fairy circles”, cannot be cursorily interpreted as a signal of natural H2 seepage from a deep source. A holistic geochemical approach, including isotopic analyses of gases associated with H2, is recommended to distinguish among the variety of possible H2 origins. Observations of H2 in wells should be interrogated to rule out possible artifacts such as corrosion and drill bit metamorphism. The integration of multiple geophysical methods, including seismic, gravimetric, magnetic, and electro-magnetic surveys, is recommended to mitigate interpretation ambiguities regarding the structure of a subsurface H2 system (source and reservoir rocks, including fluid and gas storage), due to the non-uniqueness of rock-specific physical properties.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.earscirev.2026.105413","usgsCitation":"Etiope, G., Ellis, G.S., Ardakani, O.H., Boreham, C.J., Klitzke, P., Martín-Monge, A., Reis, H.L., Templeton, A.S., Kim, H.S., Gaucher, E., and Sissmann, O., 2026, Understanding the resource potential of natural hydrogen on Earth: Scientific gaps, uncertainties and recommendations: Earth-Science Reviews, v. 275, 105413, 24 p., https://doi.org/10.1016/j.earscirev.2026.105413.","productDescription":"105413, 24 p.","ipdsId":"IP-183674","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":503444,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.earscirev.2026.105413","text":"Publisher Index Page"},{"id":503302,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"275","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Etiope, Giuseppe","contributorId":361131,"corporation":false,"usgs":false,"family":"Etiope","given":"Giuseppe","affiliations":[{"id":86202,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma 2, Rome, Italy and Faculty of Environmental Science and Engineering, Babes Bolyai University, Cluj-Napoca, Romania","active":true,"usgs":false}],"preferred":false,"id":959914,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":959915,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ardakani, Omid H.","contributorId":370177,"corporation":false,"usgs":false,"family":"Ardakani","given":"Omid","middleInitial":"H.","affiliations":[{"id":87980,"text":"Natural Resources Canada, Geological Survey of Canada, Calgary, Canada","active":true,"usgs":false}],"preferred":false,"id":959916,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boreham, Christopher J.","contributorId":370178,"corporation":false,"usgs":false,"family":"Boreham","given":"Christopher","middleInitial":"J.","affiliations":[{"id":87982,"text":"Geoscience Australia, Canberra, Australia","active":true,"usgs":false}],"preferred":false,"id":959917,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Klitzke, Peter","contributorId":370179,"corporation":false,"usgs":false,"family":"Klitzke","given":"Peter","affiliations":[{"id":47502,"text":"Federal Institute for Geosciences and Natural Resources (BGR), Hannover, Germany","active":true,"usgs":false}],"preferred":false,"id":959918,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martín-Monge, Antonio","contributorId":370180,"corporation":false,"usgs":false,"family":"Martín-Monge","given":"Antonio","affiliations":[{"id":87984,"text":"Repsol Exploración, SA, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":959919,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reis, Humberto L.S.","contributorId":370181,"corporation":false,"usgs":false,"family":"Reis","given":"Humberto","middleInitial":"L.S.","affiliations":[{"id":87985,"text":"Dep. de Ciencia da Computação/Instituto de Geosciencias, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil","active":true,"usgs":false}],"preferred":false,"id":959920,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Templeton, Alexis S.","contributorId":370182,"corporation":false,"usgs":false,"family":"Templeton","given":"Alexis","middleInitial":"S.","affiliations":[{"id":87986,"text":"University of Colorado, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":959921,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kim, Hyeong Soo","contributorId":370183,"corporation":false,"usgs":false,"family":"Kim","given":"Hyeong","middleInitial":"Soo","affiliations":[{"id":87987,"text":"Department of Earth and Environmental Sciences, Korea University, Seoul, Republic of Korea","active":true,"usgs":false}],"preferred":false,"id":959922,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gaucher, Eric","contributorId":370184,"corporation":false,"usgs":false,"family":"Gaucher","given":"Eric","affiliations":[{"id":87988,"text":"Lavoisier H2 Geoconsult, Chamonix, France","active":true,"usgs":false}],"preferred":false,"id":959923,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Sissmann, Olivier","contributorId":298565,"corporation":false,"usgs":false,"family":"Sissmann","given":"Olivier","email":"","affiliations":[],"preferred":false,"id":959924,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70274533,"text":"70274533 - 2026 - Drinking water arsenic, urinary arsenic biomarkers, and cognitive impairment in the REGARDS study","interactions":[],"lastModifiedDate":"2026-03-31T15:51:17.561696","indexId":"70274533","displayToPublicDate":"2026-01-31T10:47:27","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1561,"text":"Environmental Research","active":true,"publicationSubtype":{"id":10}},"title":"Drinking water arsenic, urinary arsenic biomarkers, and cognitive impairment in the REGARDS study","docAbstract":"Tsunamis are multiscale phenomena resulting from a water column displacement that may be induced by multiple sources, and range from local scale inundation processes to ocean-wide scale wave propagation. Different strategies may be required to model tsunami evolution at different scales and to characterize various intensity measures. Research in tsunami hazard and risk has focused mostly on the tsunami effects such as the wave heights or flow depths. This chapter reviews the evolution of tsunami hazard and risk assessment methodologies, with particular emphasis on the development of probabilistic approaches. Building on advances in numerical modeling and uncertainty analysis, two main frameworks for Probabilistic Tsunami Hazard and Risk Analysis (PTHA/PTRA) are described. Framework 1 (FW1) focuses on quantitative methods, including fully simulation-based assessments (FW1A), integration of hazard with vulnerability and loss models (FW1B), consideration of dynamic processes such as tidal and sea-level variations (FW1C), and approaches using limited scenario sets (FW1D). Framework 2 (FW2) complements this by incorporating indicator-based vulnerability assessments, both physical (FW2A) and social, multi-dimensional (FW2B).
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Probabilistic tsunami hazard and risk analysis","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-031-98115-9_2","usgsCitation":"Zamora, N., Grezio, A., Papathoma-Kohle, M., Jalayer, F., Salmanidou, D., Parsons, T.E., Geist, E.L., Selva, J., Sørensen, M.B., Rafliana, I., 2026, Frameworks for assessing tsunami hazard and risk, chap. 2 of Probabilistic tsunami hazard and risk analysis, v. 14, p. 13-86, https://doi.org/10.1007/978-3-031-98115-9_2.","productDescription":"74 p.","startPage":"13","endPage":"86","ipdsId":"IP-151994","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":500609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/978-3-031-98115-9_2","text":"Publisher Index 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Fatemeh","contributorId":366992,"corporation":false,"usgs":false,"family":"Jalayer","given":"Fatemeh","affiliations":[{"id":87521,"text":"Department of Disaster Risk Reduction, University College London","active":true,"usgs":false}],"preferred":false,"id":956562,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Løvholt, Finn","contributorId":201789,"corporation":false,"usgs":false,"family":"Løvholt","given":"Finn","affiliations":[{"id":27452,"text":"Norwegian Geotechnical Institute","active":true,"usgs":false}],"preferred":false,"id":956563,"contributorType":{"id":2,"text":"Editors"},"rank":4},{"text":"Lorito, Stefano","contributorId":187460,"corporation":false,"usgs":false,"family":"Lorito","given":"Stefano","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":956564,"contributorType":{"id":2,"text":"Editors"},"rank":5},{"text":"Rafliana, Irina","contributorId":366996,"corporation":false,"usgs":false,"family":"Rafliana","given":"Irina","affiliations":[{"id":87524,"text":"Baden Riset dan Inovasi Nasional (BRIN) Indonesia","active":true,"usgs":false}],"preferred":false,"id":956565,"contributorType":{"id":2,"text":"Editors"},"rank":6},{"text":"Salgado-Gálvez, Mario A.","contributorId":367005,"corporation":false,"usgs":false,"family":"Salgado-Gálvez","given":"Mario","middleInitial":"A.","affiliations":[],"preferred":false,"id":956566,"contributorType":{"id":2,"text":"Editors"},"rank":7},{"text":"Selva, Jacopo","contributorId":187461,"corporation":false,"usgs":false,"family":"Selva","given":"Jacopo","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":956567,"contributorType":{"id":2,"text":"Editors"},"rank":8}],"authors":[{"text":"Zamora, Natalia","contributorId":366990,"corporation":false,"usgs":false,"family":"Zamora","given":"Natalia","affiliations":[{"id":81361,"text":"Barcelona Supercomputing Center","active":true,"usgs":false}],"preferred":false,"id":956536,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grezio, Anita","contributorId":187459,"corporation":false,"usgs":false,"family":"Grezio","given":"Anita","email":"","affiliations":[{"id":27088,"text":"Istituto Nazionale di Geofisica e Vulcanologia (INGV)","active":true,"usgs":false}],"preferred":false,"id":956537,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Papathoma-Kohle, Maria","contributorId":366991,"corporation":false,"usgs":false,"family":"Papathoma-Kohle","given":"Maria","affiliations":[{"id":87520,"text":"Institute for Mountain Risk Engineering, BOKU University, Vienna","active":true,"usgs":false}],"preferred":false,"id":956538,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jalayer, Fatemeh","contributorId":366992,"corporation":false,"usgs":false,"family":"Jalayer","given":"Fatemeh","affiliations":[{"id":87521,"text":"Department of Disaster Risk Reduction, University College London","active":true,"usgs":false}],"preferred":false,"id":956539,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Salmanidou, Dimitra","contributorId":366993,"corporation":false,"usgs":false,"family":"Salmanidou","given":"Dimitra","affiliations":[{"id":87522,"text":"Advanced Research Computing Centre, University College London","active":true,"usgs":false}],"preferred":false,"id":956540,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":956541,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Geist, Eric L. 0000-0003-0611-1150","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":15543,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":956542,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Selva, Jacopo","contributorId":203391,"corporation":false,"usgs":false,"family":"Selva","given":"Jacopo","email":"","affiliations":[{"id":5113,"text":"INGV","active":true,"usgs":false}],"preferred":false,"id":956543,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sørensen, Mathilde B.","contributorId":366995,"corporation":false,"usgs":false,"family":"Sørensen","given":"Mathilde","middleInitial":"B.","affiliations":[{"id":40814,"text":"University of Bergen, Norway","active":true,"usgs":false}],"preferred":false,"id":956544,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rafliana, Irina","contributorId":366996,"corporation":false,"usgs":false,"family":"Rafliana","given":"Irina","affiliations":[{"id":87524,"text":"Baden Riset dan Inovasi Nasional (BRIN) Indonesia","active":true,"usgs":false}],"preferred":false,"id":956545,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70276345,"text":"70276345 - 2026 - Hakalau’s moving castle: How climate change and restoration are shifting an island fortress for forest birds","interactions":[],"lastModifiedDate":"2026-06-01T13:49:46.756137","indexId":"70276345","displayToPublicDate":"2026-01-31T08:39:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Hakalau’s moving castle: How climate change and restoration are shifting an island fortress for forest birds","docAbstract":"Hakalau Forest Unit of the Big Island National Wildlife Refuge Complex (hereafter, Hakalau) protects the largest area with the highest endemic forest bird diversity in Hawaiʻi, including four federally listed species. Hakalau’s higher elevation montane forest provides refuge from avian malaria (Plasmodium relictum), a primary driver of Hawaiian honeycreeper extinctions. However, recent declines in Hakalau’s birds at lower elevations could indicate that conditions have become suitable for disease vector Culex quinquefasciatus. We evaluated the statuses of Hakalau’s bird populations in the context of recent climatic changes using new survey data from point-transect distance sampling, producing abundance estimates from 1999 to 2024. We stratified our analysis across four elevation ranges (<1500 m, 1500–1700 m, 1700–1900 m, and >1900 m) and assessed trends for each species using state-space models (SSMs). We constrained population trajectories to be biologically realistic by incorporating population dynamic models within the SSMs. We observed highly species-specific abundance trends below 1500 m, predominantly stable to upward trends within 1500–1700 m, stable trends within 1700–1900 m, and upward trends above 1900 m. Declines in Hawaiʻi ʻamakihi (Chlorodrepanis v. virens) and endangered ʻakiapōlāʻau (Hemignathus wilsoni) abundance coincided with lengthening warm seasonal temperatures indicative of shrinking disease-free habitat below 1700 m. Above 1900 m, however, increases in nearly all species indicate that reforestation has likely restored disease-free habitat since 1999. While most species were stable to increasing overall, surveillance for mosquitoes and disease at lower elevations, documenting changes in habitat, and continuing bird population monitoring can help to gauge their long-term persistence at Hakalau.
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