Saltwater is migrating into freshwater aquifers globally with water quality and biogeochemical implications, yet saltwater intrusion in glaciated regions is sparsely investigated. Field observations suggest that groundwater head in glaciated systems is influenced by ice sheet forcings and provides evidence that seawater infiltrated into offshore aquifers during past deglaciation events. To understand links between ice sheet dynamics, groundwater head, and saltwater intrusion, we use numerical models to explore the effects of deglaciation on nearshore head and salinity distributions. We find that ice sheet thinning diminishes groundwater head, and the resulting shift in subsurface pressure gradients drives rapid landward movement of the subsurface freshwater-saltwater interface up to 4.0 km or 1.3 m per m ice sheet loss. Results highlight an overlooked saltwater intrusion mechanism that aligns with field observations and affects glaciated coastlines undergoing ice sheet retreat, underscoring the need to consider this mechanism in studies of contemporary coastal water quality.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025GL120376","usgsCitation":"Guimond, J., Mohammed, A., Kurylyk, B.L., Walvoord, M.A., and Bense, V.F., 2026, Ice sheet dynamics drive pronounced changes in the subsurface freshwater-saltwater interface: Geophysical Research Letters, v. 53, no. 6, e2025GL120376, 10 p., https://doi.org/10.1029/2025GL120376.","productDescription":"e2025GL120376, 10 p.","ipdsId":"IP-184772","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":501612,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025gl120376","text":"Publisher Index Page"},{"id":501588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"53","issue":"6","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Guimond, Julia","contributorId":266043,"corporation":false,"usgs":false,"family":"Guimond","given":"Julia","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":957940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mohammed, Aaron","contributorId":340028,"corporation":false,"usgs":false,"family":"Mohammed","given":"Aaron","email":"","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":957941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":957942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":957943,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bense, Victor F.","contributorId":248636,"corporation":false,"usgs":false,"family":"Bense","given":"Victor","email":"","middleInitial":"F.","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":957944,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274271,"text":"70274271 - 2026 - Spatial and temporal geochemical variations of lava flows and tephra deposits from the December 2020 to September 2024 eruptions of Kīlauea volcano","interactions":[],"lastModifiedDate":"2026-03-24T15:58:48.823617","indexId":"70274271","displayToPublicDate":"2026-03-16T10:54:53","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Spatial and temporal geochemical variations of lava flows and tephra deposits from the December 2020 to September 2024 eruptions of Kīlauea volcano","docAbstract":"Kīlauea volcano underwent dramatic morphological changes in 2018. That year recorded the end of the 35-year-long eruption of Puʻuʻōʻō (1983–2018) and 10-year-long (2008–2018) Halemaʻumaʻu lava lake and emplacement of the ~4-month-long lower East Rift Zone lava flows that coincided with ~500 m of summit caldera collapse. Starting on December 20, 2020, eruptions resumed at Kīlauea’s summit. There were five summit eruptions between December 2020 and September 2023, which ranged in duration from more than a year to as short as a week. Following these summit eruptions, seismicity and deformation increased in the upper Southwest Rift Zone in 2024, culminating in a ~8.5-h-long eruption in this region on June 3, 2024. Increased seismicity and deformation then shifted to the upper and middle East Rift Zone and after several months culminated in an eruption just west of, and within, Nāpau Crater in the middle East Rift Zone from September 15 to 20, 2024. Despite vast morphological changes at Kīlauea’s summit, the geochemical compositions (i.e., whole rock and glass) that erupted from December 2020 to September 2023 are all remarkably similar to each other. Whole-rock compositions appear distinct from the preceding 2008–2018 Halemaʻumaʻu lava lake and phase 3 (i.e., summit or uprift-derived mafic lavas) of the 2018 lower East Rift Zone lava flows, although glass compositions appear to have more overlap with 2018 lower East Rift Zone glasses. The June 3, 2024, upper Southwest Rift Zone spatter and lava flows exhibit a dramatic enrichment in whole-rock MgO that is not recorded in glass, which reflects accumulation of olivine (e.g., antecrysts or xenocrysts) during dike emplacement, and is consistent with the abundance of olivine in the lava flows (5–10%). June 2024 Southwest Rift Zone whole-rock and glass compositions overlap with those erupted at the summit from December 2020 to September 2023, whereas some whole-rock trace (i.e., Sc, Sr, and Zr) and major elements (i.e., CaO) are suggestive of mixing with a magmatic component that had fractionated plagioclase and pyroxene and/or a new parental magma influencing the summit reservoir system. The September 15–20, 2024, eruption at Nāpau Crater in the middle East Rift Zone involved the most differentiated magma since eruptive activity resumed in December 2020, with its magma fractionating olivine + plagioclase + pyroxene. The September 15–20, 2024, composition resembles Puʻuʻōʻō lava flows that erupted in, or near, Nāpau Crater in 1983 (episode 1), 1997 (episode 54), and 2011 (episode 59), with episode 59 having a compositional cluster that is most similar to that of the September 2024 lava flows. The data presented and provided herein open new research perspectives for long-term analyses of geochemical variations following caldera collapse at Kīlauea volcano and facilitate comparisons with other basaltic caldera systems worldwide.
","language":"English","publisher":"Springer","doi":"10.1007/s00445-026-01957-x","usgsCitation":"Downs, D.T., Lynn, K.J., Winslow, H.B., Lundblad, S.P., and Decker, M.F., 2026, Spatial and temporal geochemical variations of lava flows and tephra deposits from the December 2020 to September 2024 eruptions of Kīlauea volcano: Bulletin of Volcanology, v. 88, 38, https://doi.org/10.1007/s00445-026-01957-x.","productDescription":"38","ipdsId":"IP-183556","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":501459,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.33139629075612,\n 19.493695096800963\n ],\n [\n -155.33139629075612,\n 19.27430771431321\n ],\n [\n -155.12603194289784,\n 19.27430771431321\n ],\n [\n -155.12603194289784,\n 19.493695096800963\n ],\n [\n -155.33139629075612,\n 19.493695096800963\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":957496,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":957497,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winslow, Heather Brianne 0000-0001-6664-6339","orcid":"https://orcid.org/0000-0001-6664-6339","contributorId":367700,"corporation":false,"usgs":true,"family":"Winslow","given":"Heather","middleInitial":"Brianne","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":957498,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lundblad, Steven P.","contributorId":367701,"corporation":false,"usgs":false,"family":"Lundblad","given":"Steven","middleInitial":"P.","affiliations":[{"id":81292,"text":"University of Hawaiʻi at Hilo","active":true,"usgs":false}],"preferred":false,"id":957499,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Decker, Meghann F.I.","contributorId":367702,"corporation":false,"usgs":false,"family":"Decker","given":"Meghann","middleInitial":"F.I.","affiliations":[{"id":81292,"text":"University of Hawaiʻi at Hilo","active":true,"usgs":false}],"preferred":false,"id":957500,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274265,"text":"70274265 - 2026 - The U.S. Geological Survey 2025 Puerto Rico and U.S. Virgin Islands time-independent earthquake rupture forecast","interactions":[],"lastModifiedDate":"2026-03-25T14:34:58.380005","indexId":"70274265","displayToPublicDate":"2026-03-16T10:41:43","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"The U.S. Geological Survey 2025 Puerto Rico and U.S. Virgin Islands time-independent earthquake rupture forecast","docAbstract":"We present the 2025 U.S. Geological Survey Puerto Rico and U.S. Virgin Islands (PRVI) time‐independent earthquake rupture forecast (ERF), developed for the 2025 update to the National Seismic Hazard Model (NSHM) for PRVI. The updated ERF improves upon a prior model from 2003, including an expanded fault inventory with slip‐rate estimates, updated seismicity catalogs, and refined subduction zone geometries and deformation models. It applies the fault‐system inversion methodology to solve for rates of ruptures on modeled faults, adapted from the 2023 NSHM (NSHM23) for the western United States, including the first application of the inversion to model rates on a U.S. subduction interface. Off‐fault and intraslab seismicity are constrained by observed seismicity and use updated methods developed for NSHM23. Uncertainties in model components are substantial, and the ERF represents epistemic uncertainties through a comprehensive logic tree consisting of 1.7 billion logic‐tree branches combined across all sources.
","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250040","usgsCitation":"Milner, K., Hatem, A.E., Briggs, R.W., Jobe, J.A., Llenos, A.L., Michael, A.J., Shumway, A., Field, E.H., and Haynie, K.L., 2026, The U.S. Geological Survey 2025 Puerto Rico and U.S. Virgin Islands time-independent earthquake rupture forecast: Bulletin of the Seismological Society of America, https://doi.org/10.1785/0120250040.","ipdsId":"IP-182010","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":501594,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120250040","text":"Publisher Index Page"},{"id":501456,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Puerto Rico, U.S. Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -67.24473696671367,\n 18.685289557222063\n ],\n [\n -67.45235602937508,\n 17.58915546047696\n ],\n [\n -64.35204786394414,\n 17.642821738727804\n ],\n [\n -64.70746354748341,\n 18.441821463038096\n ],\n [\n -67.24473696671367,\n 18.685289557222063\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Milner, Kevin Ross 0000-0002-9118-6378","orcid":"https://orcid.org/0000-0002-9118-6378","contributorId":352491,"corporation":false,"usgs":true,"family":"Milner","given":"Kevin Ross","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - 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2026 - Depositional interplay between the Ancestral Rocky Mountains and Ouachita–Marathon–Sonora orogenies: Insights from provenance records in the late Paleozoic Marfa Basin, West Texas, U.S.A.","interactions":[],"lastModifiedDate":"2026-03-24T15:40:31.2063","indexId":"70274273","displayToPublicDate":"2026-03-16T10:28:17","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":972,"text":"Basin Research","active":true,"publicationSubtype":{"id":10}},"title":"Depositional interplay between the Ancestral Rocky Mountains and Ouachita–Marathon–Sonora orogenies: Insights from provenance records in the late Paleozoic Marfa Basin, West Texas, U.S.A.","docAbstract":"The Marfa Basin in West Texas is a late Palaeozoic synorogenic depocenter associated with regional deformation linked to the Ancestral Rocky Mountains (ARM) and Ouachita–Marathon–Sonora (OMS) orogenies in southwestern Laurentia. Basin strata range in age from Middle Pennsylvanian to the middle Permian and include the Cieneguita, Alta, Pinto Canyon, Rose Mine and Mina Grande Formations. Sandstone petrography and detrital zircon (DZ) U–Pb and (U–Th)/He double dating data from these strata reveal three tectonically driven sedimentation stages: syntectonic ARM deposition, progressive OMS foredeep deposition and an orogenic transition. The Cieneguita and lower part of the Alta Formations exhibit a Mesoproterozoic DZ age signature (~1318 and ~1076 Ma age peaks) and quartzo-feldspathic sandstone compositions sourced from the adjacent ARM-related Diablo Platform basement uplift in the Middle Pennsylvanian to earliest Permian. In contrast, the upper part of the Alta Formation, as well as the Pinto Canyon and Rose Mine Formations, have peri-Gondwanan DZ age signatures, with Mesoproterozoic (~1069–1036 Ma age peaks), Neoproterozoic–Cambrian (~700–490 Ma) and Palaeozoic (~490–300 Ma) age modes and litho-quartzose sandstone compositions derived from the OMS fold-and-thrust belt and orogenic hinterland during the early to middle Permian. The lower to middle parts of the Alta Formation have alternating DZ age signatures and sandstone compositions from both ARM and OMS sources, revealing that the transition in the sediment supply occurred during the middle Wolfcampian. This transition was not characterised by source mixing, but rather by sediment interfingering alternately sourced from the Diablo Platform uplift and the advancing OMS belt. These observations are confirmed by the DZ He ages, which reveal distinct cooling histories for both source terranes. These results document a switch from ARM- to OMS-related syntectonic deposition in southwestern Laurentia during the early Permian, demonstrating that ARM-driven deformation largely preceded the continental collision along the Marathon segment of the OMS orogen.
","language":"English","publisher":"Wiley","doi":"10.1111/bre.70098","usgsCitation":"Juárez-Zúñiga, S., Johnson, B.G., Stockli, D.F., and Lawton, T.F., 2026, Depositional interplay between the Ancestral Rocky Mountains and Ouachita–Marathon–Sonora orogenies: Insights from provenance records in the late Paleozoic Marfa Basin, West Texas, U.S.A.: Basin Research, v. 38, no. 2, e70098, 27 p., https://doi.org/10.1111/bre.70098.","productDescription":"e70098, 27 p.","ipdsId":"IP-179927","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":501454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Marfa Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -104.5833,\n 30.0833\n ],\n [\n -104.5833,\n 29.9\n ],\n [\n -104.333,\n 29.9\n ],\n [\n -104.333,\n 30.0833\n ],\n [\n -104.5833,\n 30.0833\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Juárez-Zúñiga, Sandra","contributorId":367830,"corporation":false,"usgs":false,"family":"Juárez-Zúñiga","given":"Sandra","affiliations":[],"preferred":false,"id":957778,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stockli, Daniel F. 0000-0001-7652-2129","orcid":"https://orcid.org/0000-0001-7652-2129","contributorId":254375,"corporation":false,"usgs":false,"family":"Stockli","given":"Daniel","email":"","middleInitial":"F.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":957779,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Benjamin G. 0000-0002-9462-9322","orcid":"https://orcid.org/0000-0002-9462-9322","contributorId":270008,"corporation":false,"usgs":true,"family":"Johnson","given":"Benjamin","email":"","middleInitial":"G.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":957508,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawton, Timothy F.","contributorId":63866,"corporation":false,"usgs":true,"family":"Lawton","given":"Timothy","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":957780,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274507,"text":"70274507 - 2026 - Dog attacks on wild desert tortoises: A risk model","interactions":[],"lastModifiedDate":"2026-03-27T16:38:06.280698","indexId":"70274507","displayToPublicDate":"2026-03-16T09:27:50","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Dog attacks on wild desert tortoises: A risk model","docAbstract":"We retrospectively compiled a database of 6,727 live, wild Agassiz's desert tortoises (Gopherus agassizii) and evaluated them for clinical signs of trauma to shell and limbs at 50 sites in the Mojave and Colorado (western Sonoran) deserts of California, USA, spanning the years 1977–2006. Our objectives were to 1) identify tortoises with severe trauma to shell, limbs, and gular horns typically seen in attacks from dogs (Canis familiaris); 2) identify locations where severe injuries occurred; and 3) develop a risk model based on distances of tortoises from settlements, towns, or cities. Our models identified multiple variables of importance for tortoises with severe damage to shells, limbs, and gular horns: relative age and sex of tortoises, decades of occurrence, and location. Females and very old tortoises were more vulnerable to attacks than other tortoises. In the decades between the 1970s and 2000s, the risk of severe overall trauma to shell and limbs increased 4 times and to gular horns 16.5 times. Compared to previous decades, by the early 2000s the percent of tortoises with severe trauma increased exponentially the closer a tortoise site was to a settlement; the exponential increase began at approximately 12 km from a settlement. We suggest that the risks may be higher now because of the growth of human populations within the geographic range of the tortoise. The threats to tortoises from dogs are based on whether dogs are off-leash in the Mojave and Colorado deserts.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.70192","usgsCitation":"Carlson, A.S., Berry, K.H., and Mack, J.S., 2026, Dog attacks on wild desert tortoises: A risk model: Journal of Wildlife Management, e70192, 22 p., https://doi.org/10.1002/jwmg.70192.","productDescription":"e70192, 22 p.","ipdsId":"IP-177508","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":502044,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70192","text":"Publisher Index Page"},{"id":501720,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, Nevada, Utah","otherGeospatial":"Colorado Desert, Mojave Desert","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -118.54403437504442,\n 37.27173670819484\n ],\n [\n -118.54403437504442,\n 32.70135724857404\n ],\n [\n -113.3861439811104,\n 32.70135724857404\n ],\n [\n -113.3861439811104,\n 37.27173670819484\n ],\n [\n -118.54403437504442,\n 37.27173670819484\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Carlson, Andrea S.","contributorId":368885,"corporation":false,"usgs":false,"family":"Carlson","given":"Andrea","middleInitial":"S.","affiliations":[{"id":87670,"text":"USGS, WERC (former)","active":true,"usgs":false}],"preferred":false,"id":958035,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Kristin H. 0000-0003-1591-8394 kristin_berry@usgs.gov","orcid":"https://orcid.org/0000-0003-1591-8394","contributorId":437,"corporation":false,"usgs":true,"family":"Berry","given":"Kristin","email":"kristin_berry@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958036,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mack, Jeremy S.","contributorId":368886,"corporation":false,"usgs":false,"family":"Mack","given":"Jeremy","middleInitial":"S.","affiliations":[{"id":87670,"text":"USGS, WERC (former)","active":true,"usgs":false}],"preferred":false,"id":958037,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274509,"text":"70274509 - 2026 - Invasion resistance varies by fuel break type in sagebrush ecosystems","interactions":[],"lastModifiedDate":"2026-03-27T16:25:03.36043","indexId":"70274509","displayToPublicDate":"2026-03-16T09:16:48","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1636,"text":"Fire Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Invasion resistance varies by fuel break type in sagebrush ecosystems","docAbstract":"Background
Wildfire is an increasingly important driver of changes within sagebrush (Artemisia spp. L.) ecosystems of the western USA, often resulting in increased spread of exotic annual grasses, such as cheatgrass (Bromus tectorum L.), and subsequent losses of native vegetation and wildlife habitat. Fuel breaks— areas of land treated to reduce or redistribute fuel loads — are widely implemented to help prevent the spread of wildfires and provide areas to facilitate firefighting efforts. However, localized installation and maintenance of fuel breaks directly reduce or remove vegetation and may propagate the spread of exotic annual grasses into fuel break boundaries and surrounding areas, inadvertently weakening ecological resilience to disturbance. To investigate if exotic annual grass cover was associated with mowed or green strip fuel breaks across the sagebrush biome, we combined multiple data sources and methodologies. We used targeted field surveys and land-management agency monitoring data within a space-for-time substitution framework coupled with a progressive-change before-after control-impact (PC BACI) study design using historical remotely sensed vegetation cover data which allowed us to account for potential confounding effects of roads on annual grass cover.
Results
Models using both field collected and remotely sensed vegetation indices estimated increases in exotic annual grass cover over time following mowed fuel break installation, and higher exotic annual grass cover closer to mowed fuel breaks. These increases in exotic annual grass occurred within, at 500 m and at 1000 m from mowed fuel breaks. However, we found variable patterns of exotic annual grass after green strip fuel break installation depending on the data source. No increase in exotic annual grass were indicated by either analysis at distances greater than 500 m from green strip fuel breaks. However, our and field data analyses disagreed on the direction of the association of exotic annual grass cover and green strip fuel breaks.
Conclusions
Although fuel breaks are an important tool in managing wildland fire, our analysis underscores the importance of planting fire-resistant vegetation, rather than mowing alone, to reduce invasion by annual grasses within and around fuel breaks in sagebrush ecosystems. In addition, site characteristics that hinder the proliferation of exotic annual grasses could be evaluated when installing fuel breaks to minimize unintended effects of exotic annual grass on surrounding sagebrush habitat.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s42408-026-00455-x","usgsCitation":"Nash, A.L., Brussee, B.E., Weise, C.L., Shinneman, D.J., McIlroy, S.K., Webster, S.C., Mathews, S.R., Dettenmaier, S.J., Condon, L.A., Crist, M.R., Aldridge, C.L., Heinrichs, J.A., Ricca, M.A., O’Neil, S.T., and Coates, P., 2026, Invasion resistance varies by fuel break type in sagebrush ecosystems: Fire Ecology, 47 p., https://doi.org/10.1186/s42408-026-00455-x.","productDescription":"47 p.","ipdsId":"IP-179064","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":502043,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s42408-026-00455-x","text":"Publisher Index Page"},{"id":501962,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13H9ADF","text":"USGS data release","linkHelpText":"Code to analyze fuel breaks and exotic annual grass associations within sagebrush ecosystems of the western USA"},{"id":501718,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Idaho, Nevada, Oregon, Utah","otherGeospatial":"Great Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.63820648194779,\n 45.25800827418905\n ],\n [\n -120.41592142907835,\n 36.85076028726094\n ],\n [\n -109.11875667665349,\n 36.86493560362864\n ],\n [\n -109.36785528074041,\n 40.99708268734472\n ],\n [\n -110.7820295865994,\n 41.01150582119152\n ],\n [\n -111.218717505678,\n 44.232882662546004\n ],\n [\n -113.50710117819294,\n 45.73445789521233\n ],\n [\n -122.63820648194779,\n 45.25800827418905\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Nash, Austin L. 0000-0001-6753-8807","orcid":"https://orcid.org/0000-0001-6753-8807","contributorId":368894,"corporation":false,"usgs":false,"family":"Nash","given":"Austin","middleInitial":"L.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":958051,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brussee, Brianne E.","contributorId":368895,"corporation":false,"usgs":false,"family":"Brussee","given":"Brianne","middleInitial":"E.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":958052,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weise, Cali L.","contributorId":305785,"corporation":false,"usgs":false,"family":"Weise","given":"Cali","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":958053,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shinneman, Douglas J. 0000-0002-4909-5181 dshinneman@usgs.gov","orcid":"https://orcid.org/0000-0002-4909-5181","contributorId":147745,"corporation":false,"usgs":true,"family":"Shinneman","given":"Douglas","email":"dshinneman@usgs.gov","middleInitial":"J.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":958054,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McIlroy, Susan K. 0000-0001-5088-3700 smcilroy@usgs.gov","orcid":"https://orcid.org/0000-0001-5088-3700","contributorId":169446,"corporation":false,"usgs":true,"family":"McIlroy","given":"Susan","email":"smcilroy@usgs.gov","middleInitial":"K.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":958055,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Webster, Sarah C. 0000-0003-4981-2010","orcid":"https://orcid.org/0000-0003-4981-2010","contributorId":368900,"corporation":false,"usgs":false,"family":"Webster","given":"Sarah","middleInitial":"C.","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":958056,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mathews, Steven R. 0000-0002-3165-9460 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aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":958061,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034 jheinrichs@usgs.gov","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":193742,"corporation":false,"usgs":true,"family":"Heinrichs","given":"Julie","email":"jheinrichs@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":958062,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ricca, Mark A. 0000-0003-1576-513X mark_ricca@usgs.gov","orcid":"https://orcid.org/0000-0003-1576-513X","contributorId":139103,"corporation":false,"usgs":true,"family":"Ricca","given":"Mark","email":"mark_ricca@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958063,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"O’Neil, Shawn T. 0000-0002-0899-5220","orcid":"https://orcid.org/0000-0002-0899-5220","contributorId":206589,"corporation":false,"usgs":true,"family":"O’Neil","given":"Shawn","email":"","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958064,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Coates, Peter S. 0000-0003-2672-9994","orcid":"https://orcid.org/0000-0003-2672-9994","contributorId":352181,"corporation":false,"usgs":true,"family":"Coates","given":"Peter S.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":958065,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}} ,{"id":70274502,"text":"70274502 - 2026 - Intertidal community responses to perturbations along Alaska park coastlines","interactions":[],"lastModifiedDate":"2026-03-27T17:11:25.729254","indexId":"70274502","displayToPublicDate":"2026-03-15T09:52:26","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":691,"text":"Alaska Park Science","printIssn":"1545- 496","active":true,"publicationSubtype":{"id":10}},"title":"Intertidal community responses to perturbations along Alaska park coastlines","docAbstract":"Nearshore ecosystems are highly productive zones with strong connections to both terrestrial\nand open ocean ecosystems. The rocky intertidal is a highly dynamic ecosystem and changes\nover a variety of spatial and temporal scales depending on the factors contributing to the\nchange. Here we summarize how nearshore communities and species responded to several\nperturbations to intertidal communities within Alaska’s coastal national parks.","language":"English","publisher":"National Park Service","usgsCitation":"Traiger, S.B., Ballachey, B., Coletti, H., and Esler, D., 2026, Intertidal community responses to perturbations along Alaska park coastlines: Alaska Park Science, v. 24, no. 1, p. 72-79.","productDescription":"8 p.","startPage":"72","endPage":"79","ipdsId":"IP-182501","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":501729,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501722,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2317596"}],"country":"United 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people. Methylmercury, found in fish, can be particularly detrimental, especially to children. This study explores the sources and concentrations of mercury and proposes how people can become aware and limit their\nexposure.","language":"English","publisher":"National Park Service","usgsCitation":"Laske, S.M., Bartz, K.K., and Young, D., 2026, Investigating the role of lake environments and food chains on the transfer of mercury to lake trout: Alaska Park Science, v. 24, no. 1, p. 46-55.","productDescription":"10 p.","startPage":"46","endPage":"55","ipdsId":"IP-182249","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":501730,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501723,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/DataStore/Reference/Profile/2317596"}],"country":"United 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Sarah M. 0000-0002-6096-0420 slaske@usgs.gov","orcid":"https://orcid.org/0000-0002-6096-0420","contributorId":204872,"corporation":false,"usgs":true,"family":"Laske","given":"Sarah","email":"slaske@usgs.gov","middleInitial":"M.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":958032,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartz, Krista K.","contributorId":368882,"corporation":false,"usgs":false,"family":"Bartz","given":"Krista","middleInitial":"K.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":958033,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Daniel","contributorId":58468,"corporation":false,"usgs":false,"family":"Young","given":"Daniel","affiliations":[{"id":35763,"text":"National Park Service, Lake Clark National Park and Preserve, Port Alsworth, AK","active":true,"usgs":false}],"preferred":false,"id":958034,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273789,"text":"70273789 - 2026 - Cyanobacteria and aquatic ecosystem dynamics across 28,000 years of environmental changes in subtropical North America","interactions":[],"lastModifiedDate":"2026-01-30T16:18:48.467802","indexId":"70273789","displayToPublicDate":"2026-03-15T09:06:23","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3219,"text":"Quaternary Science Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Cyanobacteria and aquatic ecosystem dynamics across 28,000 years of environmental changes in subtropical North America","docAbstract":"Ecological pressures on aquatic ecosystems have increased over recent centuries due to human activities and climate change. However, contextualizing ecosystem deterioration is often challenging due to limited knowledge of environmental changes over millennial timescales. Subtropical Carolina bays in North Carolina, USA, have remained unglaciated, preserving paleolimnological records that extend back to the last glacial period. Here, we analyzed a sediment core from the ecologically rich Lake Waccamaw spanning more than 28,000 years for aquatic proxies of nutrients, photosynthetic pigments, cyanotoxins, carbon isotopes, and terrestrial proxies of pollen and charcoal. The study explored paleolimnological changes in the aquatic environment connected to land changes and climate during the late Quaternary in the southeastern Atlantic Coastal Plain. Results reveal that while current levels of colonial cyanobacteria are high, past levels of cyanobacteria, other primary producers, and cyanotoxins were higher under natural climate variability. Abrupt ecosystem responses to increasing trophic conditions during Interstadial 3 (27.8–26.4 cal ka BP) and the early Holocene (11.4–7 cal ka BP) were marked by increases in primary producer abundance, deciduous vegetation expansion, and fire activity. Cyanobacteria remained dominant throughout the record, with colonial forms prevailing during the Holocene. Increases in pigment concentrations aligned with Quercus and were primarily driven by hydroclimatic variability and nutrient stoichiometry. Transitions between Pinus and Quercus pollen matched stadials and interstadials in the δ18Ο record from the North Greenland Ice Core Project (NGRIP). This study highlights the value of multi-proxy millennial-scale paleolimnological records for understanding aquatic ecosystem responses to climate conditions during the late Pleistocene.
Freshwater lakes play a critical role in the global carbon cycle by storing and transforming organic matter (OM) from both terrestrial and aquatic sources. Small lakes in northern temperate regions, despite their limited surface area, disproportionately influence regional carbon budgets. Buried sediments integrate OM inputs over time and archive ecosystem responses to natural and anthropogenic disturbances. However, the direction and magnitude of recent environmental changes on sediment carbon (C) dynamics remain poorly understood. A 23-cm core was collected from a small temperate lake in northeastern USA to evaluate sediment OM content and composition over timescales relevant to historical land-use change, damming, and recovery from acid deposition. Patterns in OM burial and source contributions were revealed via elemental and isotopic analyses of bulk OM and ultraviolet-visible spectrophotometry of water-extractable organic matter (WEOM). The optical metrics expanded observations of likely OM sources beyond the information gained from bulk carbon metrics (total carbon, δ13C). The aromaticity of WEOM increased downcore, which is consistent with a shift from increased terrestrial inputs during early logging and damming activity (pre ∼1920) to more microbial-derived OM in recent surficial sediments. Future applications of WEOM optical properties as complements to traditional geochemical metrics can enhance interpretations of lake ecosystem responses recorded in lake sediments to environmental perturbations in temperate lakes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2026.106768","usgsCitation":"Collins, A., Gifford, S.R., Schaller, M., Stubbins, A., Wagner, S., and Ryan, K.A., 2026, Evaluating drivers of environmental change in a lake sediment core: Insights from spectroscopic metrics of water-extractable organic matter and stable carbon isotopes: Applied Geochemistry, v. 202, 106768, 14 p., https://doi.org/10.1016/j.apgeochem.2026.106768.","productDescription":"106768, 14 p.","ipdsId":"IP-182453","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":501372,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2026.106768","text":"Publisher Index Page"},{"id":501326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Brant Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.65381261873293,\n 43.74614176284166\n ],\n [\n -73.74654790351629,\n 43.74614176284166\n ],\n [\n -73.74654790351629,\n 43.67947190946754\n ],\n [\n -73.65381261873293,\n 43.67947190946754\n ],\n [\n -73.65381261873293,\n 43.74614176284166\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"202","noUsgsAuthors":false,"publicationDate":"2026-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, A.C.","contributorId":29071,"corporation":false,"usgs":true,"family":"Collins","given":"A.C.","email":"","affiliations":[],"preferred":false,"id":957163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gifford, Sabina R. 0000-0002-0724-4986","orcid":"https://orcid.org/0000-0002-0724-4986","contributorId":310415,"corporation":false,"usgs":true,"family":"Gifford","given":"Sabina","email":"","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaller, Morgan","contributorId":260723,"corporation":false,"usgs":false,"family":"Schaller","given":"Morgan","email":"","affiliations":[],"preferred":false,"id":957165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stubbins, Aron","contributorId":367238,"corporation":false,"usgs":false,"family":"Stubbins","given":"Aron","affiliations":[],"preferred":false,"id":957166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wagner, Sasha","contributorId":242609,"corporation":false,"usgs":false,"family":"Wagner","given":"Sasha","email":"","affiliations":[{"id":12656,"text":"Rensselaer Polytechnic Institute","active":true,"usgs":false}],"preferred":false,"id":957167,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryan, Kevin Alexander 0000-0003-1202-3616","orcid":"https://orcid.org/0000-0003-1202-3616","contributorId":331030,"corporation":false,"usgs":true,"family":"Ryan","given":"Kevin","email":"","middleInitial":"Alexander","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":957168,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70275135,"text":"70275135 - 2026 - Understanding the links between functional performance and environment in cold desert ecosystems through the flagship biocrust forming moss Syntrichia caninervis","interactions":[],"lastModifiedDate":"2026-04-16T15:39:05.339646","indexId":"70275135","displayToPublicDate":"2026-03-13T10:32:54","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3089,"text":"Plant and Soil","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Understanding the links between functional performance and environment in cold desert ecosystems through the flagship biocrust forming moss Syntrichia caninervis","title":"Understanding the links between functional performance and environment in cold desert ecosystems through the flagship biocrust forming moss Syntrichia caninervis","docAbstract":"Biocrust communities shape the soil surface in drylands, regulating important ecosystem properties. Despite this, few works address key functional attributes in these poikilohydric photosynthetic communities, including the length of metabolic activity in the field and its relationship with microclimate. We aim to disentangle the links between functional performance of a keystone biocrust species and environment in drylands, in order to better understand ecosystem functioning and services provided to the soil by these organisms.
We developed a 23 months monitoring experiment using very high resolution measurements of chlorophyll a fluorescence and microclimate in the field, comparing habitats with soils of different particle size composition and microclimatic conditions for the flagship biocrust moss Syntrichia caninervis on the Colorado Plateau, Utah, USA.
While growing in soils of different composition did not impair the functional performance of the species, the sun/shade plasticity did affect key physiological attributes. Our results quantified a strategy based on avoidance of the most extreme environmental conditions, where metabolic activity only occur during 19.9% of the total time monitored. Relative humidity was the best microclimatic predictor of metabolic activity, and the annual length of metabolically active periods showed strong convergences with other drylands of the world.
These results collectively suggest a strong control of the environment over the ecosystem services provided by biocrusts. Our results include evidence for an improved understanding of the plasticity of S. caninervis to its variety of habitats, and its response to potential threats under different climate change scenarios.
","language":"English","publisher":"Springer","doi":"10.1007/s11104-026-08455-1","usgsCitation":"Raggio, J., Pescador, D.S., Grote, E.E., Sancho, L., Finger-Higgens, R.A., and Belnap, J., 2026, Understanding the links between functional performance and environment in cold desert ecosystems through the flagship biocrust forming moss Syntrichia caninervis: Plant and Soil, https://doi.org/10.1007/s11104-026-08455-1.","ipdsId":"IP-166367","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":502983,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11104-026-08455-1","text":"Publisher Index Page"},{"id":502940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","city":"Castle Valley, Moab","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.33955525106553,\n 38.732570335427084\n ],\n [\n -109.7081195538948,\n 38.732570335427084\n ],\n [\n -109.7081195538948,\n 38.45710251175393\n ],\n [\n -109.33955525106553,\n 38.45710251175393\n ],\n [\n -109.33955525106553,\n 38.732570335427084\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Raggio, Jose","contributorId":174263,"corporation":false,"usgs":false,"family":"Raggio","given":"Jose","email":"","affiliations":[{"id":27404,"text":"Departamento de Biologıa Vegetal II, Facultad de Farmacia, Universidad Complutense, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":959612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pescador, David S.","contributorId":364738,"corporation":false,"usgs":false,"family":"Pescador","given":"David","middleInitial":"S.","affiliations":[{"id":86950,"text":"Departamento de Farmacología, Farmacognosia y Botánica, Facultad de Farmacia, Universidad Complutense de Madrid, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":959613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grote, Edmund E. 0000-0002-9103-9482 ed_grote@usgs.gov","orcid":"https://orcid.org/0000-0002-9103-9482","contributorId":4271,"corporation":false,"usgs":true,"family":"Grote","given":"Edmund","email":"ed_grote@usgs.gov","middleInitial":"E.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":959614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sancho, L.G.","contributorId":370063,"corporation":false,"usgs":false,"family":"Sancho","given":"L.G.","affiliations":[{"id":87944,"text":"Section of Botany, Pharmacology, Pharmacognosy and Botany Department, degree of Pharmacy, Complutense University, Madrid, Spain","active":true,"usgs":false}],"preferred":false,"id":959615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finger-Higgens, Rebecca A 0000-0002-7645-504X","orcid":"https://orcid.org/0000-0002-7645-504X","contributorId":290211,"corporation":false,"usgs":true,"family":"Finger-Higgens","given":"Rebecca","email":"","middleInitial":"A","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":959616,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Belnap, Jayne 0000-0001-7471-2279 jayne_belnap@usgs.gov","orcid":"https://orcid.org/0000-0001-7471-2279","contributorId":1332,"corporation":false,"usgs":true,"family":"Belnap","given":"Jayne","email":"jayne_belnap@usgs.gov","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":959617,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274274,"text":"70274274 - 2026 - Summertime methane and carbon dioxide emission rates and associated variables from a national-scale survey of 146 reservoirs in the United States","interactions":[],"lastModifiedDate":"2026-03-24T16:24:33.537618","indexId":"70274274","displayToPublicDate":"2026-03-13T09:08:59","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Summertime methane and carbon dioxide emission rates and associated variables from a national-scale survey of 146 reservoirs in the United States","docAbstract":"Reservoirs are globally important sources of greenhouse gases, but the magnitude of their emissions is highly uncertain. Here we present data for 146 reservoirs from two surveys of reservoir methane and carbon dioxide emissions, one at the regional scale in the midwestern United States and one at the national scale in the conterminous United States, plus data from one reservoir in Washington and another in Puerto Rico. At all reservoirs, ebullitive and diffusive emissions and basic physiochemistry were measured at 15-70 locations during one 22 to 64-hour period during the summers of 2016-2023, with four reservoirs revisited a second time. Concomitant water chemistry measurements were also made at an index site. The dataset is comprised of two geospatial files and seven .csv files containing greenhouse gas emissions, water chemistry, morphology, and other relevant data. 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Sentinel-2, in particular, has been valuable for water quality monitoring due to its 5-day global temporal revisit time and spatial resolution that ranges from 10 to 60 metres. Sentinel-2 can be used to measure and monitor chlorophyll-a, which historically has been used as an indicator of water quality, eutrophication and harmful algal blooms. Our goal was to review aquatic chlorophyll-a Sentinel-2 research to assess the types of validation evidence reported. Validation evidence is defined here as the set of information key to assessing algorithm performance, and include the spatial and temporal scales of satellite validation, reported in situ sampling method context information, demonstration of validation results through plots, and appropriate algorithm performance metrics. We highlight how the body of literature collectively contributes to advancing a national scale chlorophyll-a product that could support future resource management applications. Our review of 122 published studies indicated that much of the validation evidence corresponded to early stages, as defined by the NASA data maturity framework, due to a limited focus on individual lakes and limited detail on methodology for reproducibility. Prioritizing data accessibility for both in situ data and satellite workflows used in published studies; reporting methods with transparency and consistency; and using standard algorithm performance metrics could provide a consistent framework to support and enhance the utility of satellite inland water quality research. These three quality assurance mechanisms can promote effective evaluation of approaches for remote sensing of chlorophyll-a. Adopting these quality criteria could enable the integration of validation evidence from multiple studies, supporting more spatially and temporally representative products that would advance these approaches towards maturation for broader application.
","language":"English","publisher":"Taylor and Francis","doi":"10.1080/01431161.2026.2637851","usgsCitation":"Goodrich, S., Schaeffer, B., Meyers, K., Salls, W.B., King, T.V., Seegers, B.N., Cronin-Golomb, O., Demaree, D., and Reif, M., 2026, Sentinel-2 for chlorophyll-a water quality monitoring: A review of validation evidence and application potential: International Journal of Remote Sensing, 26 p., https://doi.org/10.1080/01431161.2026.2637851.","productDescription":"26 p.","ipdsId":"IP-179166","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":502483,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/01431161.2026.2637851","text":"Publisher Index Page"},{"id":502274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodrich, Sarah 0009-0000-1218-8053","orcid":"https://orcid.org/0009-0000-1218-8053","contributorId":369429,"corporation":false,"usgs":false,"family":"Goodrich","given":"Sarah","affiliations":[{"id":87771,"text":"University of Cincinnati,","active":true,"usgs":false}],"preferred":false,"id":958944,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schaeffer, Blake 0000-0001-9794-3977","orcid":"https://orcid.org/0000-0001-9794-3977","contributorId":245603,"corporation":false,"usgs":false,"family":"Schaeffer","given":"Blake","email":"","affiliations":[{"id":37230,"text":"EPA","active":true,"usgs":false}],"preferred":false,"id":958945,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyers, Kate 0000-0003-2757-1068","orcid":"https://orcid.org/0000-0003-2757-1068","contributorId":369430,"corporation":false,"usgs":false,"family":"Meyers","given":"Kate","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":958946,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Salls, Wilson Barg 0000-0001-7505-0828","orcid":"https://orcid.org/0000-0001-7505-0828","contributorId":364473,"corporation":false,"usgs":true,"family":"Salls","given":"Wilson","middleInitial":"Barg","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958947,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":958948,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Seegers, Bridget N. 0000-0003-3657-632X","orcid":"https://orcid.org/0000-0003-3657-632X","contributorId":367163,"corporation":false,"usgs":false,"family":"Seegers","given":"Bridget","middleInitial":"N.","affiliations":[{"id":87582,"text":"Morgan State University, Baltimore, MD, USA And NASA Goddard Space Flight Center, USA","active":true,"usgs":false}],"preferred":false,"id":958949,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cronin-Golomb, Olivia 0000-0003-2842-158X","orcid":"https://orcid.org/0000-0003-2842-158X","contributorId":369431,"corporation":false,"usgs":false,"family":"Cronin-Golomb","given":"Olivia","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":958950,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Demaree, David 0000-0002-5122-3488","orcid":"https://orcid.org/0000-0002-5122-3488","contributorId":369432,"corporation":false,"usgs":false,"family":"Demaree","given":"David","affiliations":[{"id":13529,"text":"US Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":958951,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Reif, Molly","contributorId":193971,"corporation":false,"usgs":false,"family":"Reif","given":"Molly","email":"","affiliations":[],"preferred":false,"id":958952,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274568,"text":"70274568 - 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However, achieving sustainable coexistence is often hindered by a limited understanding of the dynamic social–ecological processes that drive integrated human–wildlife systems. This Special Issue explores “resilience thinking” as a scientific framework to address these knowledge gaps. By bridging sustainability and wildlife sciences, we examine how concepts such as adaptive capacity, feedback loops, system archetypes, and tipping points can illuminate the conditions that facilitate stable coexistence or lead to persistent conflict. Through diverse global case studies ranging from carnivore management in Europe to primate interactions in Indonesia, contributions highlight how societal perceptions, governance, and co-adaptation shape system trajectories. Ultimately, we argue that fostering durable coexistence requires moving beyond incremental adaptation toward transformative governance that centers on equity, relationality, and proactive management.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s13280-026-02359-1","usgsCitation":"Carter, N., Buchholtz, E.K., Glikman, J.A., Nanni, A.S., and Puri, M., 2026, Resilience thinking for human-wildlife coexistence: Bridging dynamic systems, archetypes, and transformations: Ambio, v. 55, p. 1003-1010, https://doi.org/10.1007/s13280-026-02359-1.","productDescription":"8 p.","startPage":"1003","endPage":"1010","ipdsId":"IP-183949","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":502056,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s13280-026-02359-1","text":"Publisher Index Page"},{"id":501967,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","noUsgsAuthors":false,"publicationDate":"2026-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Neil H.","contributorId":245214,"corporation":false,"usgs":false,"family":"Carter","given":"Neil H.","affiliations":[{"id":37387,"text":"University of Michigan","active":true,"usgs":false}],"preferred":false,"id":958325,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buchholtz, Erin K. 0000-0002-1985-9531","orcid":"https://orcid.org/0000-0002-1985-9531","contributorId":300162,"corporation":false,"usgs":true,"family":"Buchholtz","given":"Erin","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":958326,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glikman, Jenny Anne","contributorId":369031,"corporation":false,"usgs":false,"family":"Glikman","given":"Jenny","middleInitial":"Anne","affiliations":[{"id":87701,"text":"Instituto de Estudios Sociales Avanzados","active":true,"usgs":false}],"preferred":false,"id":958327,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nanni, A. Sofía","contributorId":369032,"corporation":false,"usgs":false,"family":"Nanni","given":"A.","middleInitial":"Sofía","affiliations":[{"id":87703,"text":"Facultad de Cs.Naturales e IML","active":true,"usgs":false}],"preferred":false,"id":958328,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Puri, Mahi","contributorId":369033,"corporation":false,"usgs":false,"family":"Puri","given":"Mahi","affiliations":[{"id":87704,"text":"Cincinnati Zoo and Botanical Garden","active":true,"usgs":false}],"preferred":false,"id":958329,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274648,"text":"70274648 - 2026 - Spatial behavior of socially isolated wild pigs (Sus scrofa) following sounder removal via trapping","interactions":[],"lastModifiedDate":"2026-04-02T17:56:35.697261","indexId":"70274648","displayToPublicDate":"2026-03-12T10:49:42","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3035,"text":"Pest Management Science","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Spatial behavior of socially isolated wild pigs (Sus scrofa) following sounder removal via trapping","title":"Spatial behavior of socially isolated wild pigs (Sus scrofa) following sounder removal via trapping","docAbstract":"The rapid expansion of wild pig (Sus scrofa) populations across North America, coupled with increased concern over disease transmission, has intensified the need for effective management strategies. Trapping is widely regarded as the most effective control method; however, trapping events often fail to capture entire sounders. The behavioral responses of untrapped individuals following partial sounder removal remain poorly understood, potentially undermining management efficiency. We evaluated the spatiotemporal movement responses of wild pigs that became socially isolated following trapping events.
We deployed GPS collars on 18 female wild pigs from multiple sounders and quantified post-trapping movement patterns using distance from trap site, step length, persistence velocity, space covered and overlap area over a 30-day period. Movement responses were highly variable among individuals, but wild pigs travelled an average of 1.2 km from the trap, with a maximum observed distance of 6.37 km. Space-use overlap was limited, and range sizes remained relatively stable. Individuals originating from sounders with a greater proportion of females moved farther from the trap, whereas wild pigs in better body condition exhibited lower movement velocities.
Socially isolated wild pigs generally remained close to trap sites following partial sounder removal and rarely dispersed from the area. This behavioral pattern suggests a predictable post-trapping window during which untrapped individuals remain spatially accessible. These findings provide critical empirical support for adaptive trapping strategies, indicating that follow-up removal efforts can be effectively concentrated near original trap locations to improve management efficiency and reduce the risk of population persistence or disease spread. © 2026 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.
","language":"English","publisher":"Wiley","doi":"10.1002/ps.70630","usgsCitation":"Gomez-Maldonado, S., McDonough, M.T., Valente, J., Smith, M.D., and Ditchkoff, S.S., 2026, Spatial behavior of socially isolated wild pigs (Sus scrofa) following sounder removal via trapping: Pest Management Science, 12 p., https://doi.org/10.1002/ps.70630.","productDescription":"12 p.","ipdsId":"IP-181693","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502094,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ps.70630","text":"Publisher Index Page"},{"id":502020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","county":"Bullock County, Dale County, Geneva County, Henry County, Russell County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -85.84506563190232,\n 32.55347132655761\n ],\n [\n -85.84506563190232,\n 30.98077066378525\n ],\n [\n -84.92508936890346,\n 30.98077066378525\n ],\n [\n -85.06507810319242,\n 31.2456776602509\n ],\n [\n -85.07507873856268,\n 31.86910207177447\n ],\n [\n -85.03008411822977,\n 32.09944108506171\n ],\n [\n -84.88509612952853,\n 32.2280994874579\n ],\n [\n -84.96508618853098,\n 32.37389191883382\n ],\n [\n -84.92508936890346,\n 32.55347132655761\n ],\n [\n -85.84506563190232,\n 32.55347132655761\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Gomez-Maldonado, Sebastian","contributorId":369164,"corporation":false,"usgs":false,"family":"Gomez-Maldonado","given":"Sebastian","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":958554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDonough, Matthew T.","contributorId":369165,"corporation":false,"usgs":false,"family":"McDonough","given":"Matthew","middleInitial":"T.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":958555,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Valente, Jonathon Joseph 0000-0002-6519-3523","orcid":"https://orcid.org/0000-0002-6519-3523","contributorId":340615,"corporation":false,"usgs":true,"family":"Valente","given":"Jonathon Joseph","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958556,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Mark D.","contributorId":369166,"corporation":false,"usgs":false,"family":"Smith","given":"Mark","middleInitial":"D.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":958557,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ditchkoff, Stephen S.","contributorId":369167,"corporation":false,"usgs":false,"family":"Ditchkoff","given":"Stephen","middleInitial":"S.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":958558,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70274552,"text":"70274552 - 2026 - Multi-site evaluation of a postfire debris-flow runout forecast method","interactions":[],"lastModifiedDate":"2026-03-31T15:46:54.853091","indexId":"70274552","displayToPublicDate":"2026-03-12T10:43:31","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Multi-site evaluation of a postfire debris-flow runout forecast method","docAbstract":"Postfire debris flows pose a hazard to human life, property, and infrastructure when they travel from steep source areas to urbanized alluvial fans or other developed areas. Existing methods for rapid (<1 week) postfire debris-flow hazard assessment document the increase in the likelihood and size of debris flows as the magnitude of high-intensity rain necessary to initiate debris flows increases but do not indicate the extent of downstream debris-flow runout. Although many models for the simulation of debris-flow motion are available, there is no established approach for using these models to delineate locations susceptible to postfire debris-flow runout that (a) is feasible to use at the spatial scale of an entire fire; (b) is appropriate for runout onto unconfined areas; (c) reproduces observed relations between runout and rainfall intensity; and (d) characterizes inherent uncertainty in runout, even without spatiotemporally variable rainfall. We propose and evaluate a method for generating postfire debris-flow runout hazard maps that has all the above qualities. Selection of case studies prioritized events triggered by a range of rainfall intensities, locations within and outside of southern California, and observed runout onto unconfined topography. Qualitative and quantitative assessment of performance for four events indicate that simulation results broadly match observations albeit with some discrepancies at a scale larger than structure or land parcel level (approximately 20-m by 20-m). The method may be used to identify potentially hazardous areas immediately following a fire and to provide approximate runout forecasts when a storm is imminent.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2025EF007004","usgsCitation":"Barnhart, K.R., Kean, J.W., Lindsay, D.N., and Bilderback, E., 2026, Multi-site evaluation of a postfire debris-flow runout forecast method: Earth's Future, v. 14, no. 3, e2025EF007004, 30 p., https://doi.org/10.1029/2025EF007004.","productDescription":"e2025EF007004, 30 p.","ipdsId":"IP-180454","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":502076,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2025ef007004","text":"Publisher Index Page"},{"id":501868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -109.79851727404943,\n 36.914538423846594\n ],\n [\n -120.91896698559691,\n 36.914538423846594\n ],\n [\n -120.91896698559691,\n 32.90931203229438\n ],\n [\n -109.79851727404943,\n 32.90931203229438\n ],\n [\n -109.79851727404943,\n 36.914538423846594\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Barnhart, Katherine R. 0000-0001-5682-455X","orcid":"https://orcid.org/0000-0001-5682-455X","contributorId":257870,"corporation":false,"usgs":true,"family":"Barnhart","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":958263,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kean, Jason W. 0000-0003-3089-0369 jwkean@usgs.gov","orcid":"https://orcid.org/0000-0003-3089-0369","contributorId":1654,"corporation":false,"usgs":true,"family":"Kean","given":"Jason","email":"jwkean@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":958264,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindsay, Donald N. 0009-0001-4533-339X","orcid":"https://orcid.org/0009-0001-4533-339X","contributorId":369005,"corporation":false,"usgs":false,"family":"Lindsay","given":"Donald","middleInitial":"N.","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":958265,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bilderback, Eric Leland 0000-0002-2027-5699","orcid":"https://orcid.org/0000-0002-2027-5699","contributorId":349936,"corporation":false,"usgs":true,"family":"Bilderback","given":"Eric Leland","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":958266,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70275104,"text":"70275104 - 2026 - Potential impacts of groundwater pumping on stream temperature are greatest in streams with substantial cold groundwater inflows","interactions":[],"lastModifiedDate":"2026-04-16T15:48:13.442643","indexId":"70275104","displayToPublicDate":"2026-03-12T10:39:44","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Potential impacts of groundwater pumping on stream temperature are greatest in streams with substantial cold groundwater inflows","docAbstract":"Groundwater pumping-induced reductions in streamflow (known as ‘streamflow depletion’) have been documented worldwide, but potential impacts of streamflow depletion on stream temperature are not well understood. Here, we use two types of models to identify potential impacts of pumping on stream temperature across the conterminous United States (CONUS) to determine which aspects of a stream's annual thermograph (thermal signatures) can be used to monitor and manage streamflow depletion impacts on stream temperature. We used long-term streamflow and stream temperature data from 30 streamgages across CONUS and surrogate models of streamflow depletion to analyse potential stream temperature impacts at each site. We compared two different stream temperature modelling approaches: (i) a process-based energy balance model and (ii) statistical regression models based on air temperature and stream discharge. We calculated a suite of thermal signatures under depleted and non-depleted conditions for each stream and found that maximum annual 7-day temperature and annual temperature range are potentially the most sensitive to streamflow depletion, with potential changes of at least 2°C at > 70% of the sites when using the process-based model. We also found that the regression-based models predicted much less sensitivity of stream temperature to streamflow depletion than the process-based model. This work provides an initial evaluation and sensitivity analysis of the potential impacts of streamflow depletion on stream temperature. We demonstrate that stream temperature may be most sensitive to pumping in streams with a high proportion of flow sourced from relatively cold groundwater inputs, and that regression-based stream temperature models may underpredict stream temperature changes caused by streamflow depletion.
","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70444","usgsCitation":"Lapides, D.A., Zipper, S., and Hammond, J., 2026, Potential impacts of groundwater pumping on stream temperature are greatest in streams with substantial cold groundwater inflows: Hydrological Processes, v. 40, no. 3, e70444, 21 p., https://doi.org/10.1002/hyp.70444.","productDescription":"e70444, 21 p.","ipdsId":"IP-163672","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":502941,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n 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In salmonids, certain studies have found limited genetic differentiation between wild and captive-reared fish. However, documented changes in gene expression in hatchery fish have led scientists to investigate epigenetic mechanisms, such as DNA methylation, as a source of these differences. In this binational collaborative piece, we synthesize the knowledge and efforts of academics and government scientists to highlight how interactions between captive rearing and the epigenome elicit parallel phenotypic changes across salmonid species. We examine the known and potential links between DNA methylation and the phenotypic effects of captive rearing including changes in behavior, color, gut microbiomes, and developmental abnormalities. We review efforts to minimize these phenotypic and epigenetic effects including attempts to modify the hatchery environment and rearing protocols. We provide a framework to integrate epigenetic considerations into hatchery rearing protocols by weighing the heritable nature of DNA methylation with the goals of different captive rearing programs and explore whether minimizing the phenotypic and epigenetic effects of captive rearing is worthwhile. We examine heritability and persistence of epigenetic effects, and we propose the exploitation of heritable bet-hedging as an epigenetic buffer to increase post-release survival. We also suggest novel applications of epigenomic biomarkers as a non-lethal method for post-release monitoring. Ultimately, collaborative multi-disciplinary research across species is needed to understand the comprehensive effects of captive rearing, reduce the ecological impacts of captive fish in the wild, and increase population resilience. Integrating epigenetics into fish hatchery management will provide new opportunities for optimizing and improving captive rearing.
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47914 252nd Street
Sioux Falls, SD 57198
The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation Center of Excellence Team assesses and calibrates Landsat remote-sensing data to ensure high-quality data products are publicly available. These data products are used to make informed decisions about natural resources and the environment. This report is part of a series of quarterly reports intended to provide updated observed geometric and radiometric analysis results for Landsats 8 and 9.
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America","interactions":[],"lastModifiedDate":"2026-03-26T16:19:18.86388","indexId":"70274333","displayToPublicDate":"2026-03-12T08:49:32","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10129,"text":"International Journal of Parasitology: Parasites and Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Edible baits for systemic flea control, plague mitigation, and wildlife conservation: Evaluation of four active ingredients with three rodent species in western North America","docAbstract":"The flea-borne agent of plague, Yersinia pestis, is lethal to endangered black-footed ferrets (Mustela nigripes, BFFs) and the prairie dogs (Cynomys spp., PDs) on which BFFs depend for habitat and prey. We developed bait pellets containing insecticides for flea control with PDs. Individual baits contained 0.46, 0.91, 1.21, or 1.52 mg fipronil, 5.40 mg afoxolaner, 50.62 mg fluralaner, or 85.20 mg spinosad. From 2023 to 2025, we tested the baits with black-tailed PDs (C. ludovicianus, BTPDs), Gunnison's PDs (C. gunnisoni, GPDs), and Richardson's ground squirrels (Urocitellus richardsonii, RGSs). We sampled hosts 2810 times and detected 8825 fleas across 2 U.S. States, 1 Canadian Province, 6 sites, 9 PD colonies, and 41 sampling plots. Over ∼12 mo across 5 replicates in South Dakota, USA, bait pellets with 0.91 or 1.52 mg fipronil, applied at a rate of 125 baits/ha, were more effective in reducing the abundance of fleas on BTPDs than 0.46 mg fipronil or the 3 other active ingredients; on 2 South Dakota replicates with data from 24 mo posttreatment, the effects of fipronil pellets on flea abundance had waned after ∼24 mo. Similarly, over ∼12 mo on 2 replicates in Arizona, USA, pellets with 1.52 mg fipronil were more effective in reducing the abundance of fleas on GPDs than pellets with 0.46 mg fipronil; on 1 replicate with available data from ∼2 yr posttreatment, the effects of fipronil pellets had waned after ∼24 mo. Over ∼8-11 mo across 2 replicates in Saskatchewan, Canada, baits with 1.21 mg fipronil/pellet were more effective in suppressing the abundance of fleas on BTPDs and RGSs when applied at 250 pellets/ha than 62 pellets/ha; flea control had waned after ∼20-23 mo. When applied annually at 125-250/ha, baits with 0.84-1.52 mg fipronil (FipBits) provided an effective, efficient, and affordable tool for flea control on PD colonies.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijppaw.2026.101216","usgsCitation":"Eads, D., Matchett, M.R., McCaffery, M., Hemmah, A., Jarding, A.R., Cordova, J., Heimann, H., Liccioli, S., Gardiner, L.E., Cormack, J., Hicks, H., Fly, J., Childers, E., Livieri, T., Hladik, M.L., and Biggins, D.E., 2026, Edible baits for systemic flea control, plague mitigation, and wildlife conservation: Evaluation of four active ingredients with three rodent species in western North America: International Journal of Parasitology: Parasites and Wildlife, v. 29, 101216, 12 p., https://doi.org/10.1016/j.ijppaw.2026.101216.","productDescription":"101216, 12 p.","ipdsId":"IP-184886","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":501608,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2026.101216","text":"Publisher Index 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Spatial units correspond to the reproductive habitat of extirpated (unoccupied spatial units) and extant (occupied spatial units) populations. Spatial units were delineated using a Council of Lake Committees-endorsed method that involves synthesizing data for evaluation by a panel with expertise on the focal organisms and ecosystems. By examining catch, survey, observational, and genetic data, an expert panel determined that no viable Cisco populations remain in Lake Erie. Experts delineated one eastern and one western unoccupied Cisco spatial unit in Lake Erie based on interpretation of historical movement and spawning locations and timing. The expert panel also identified eleven key questions that can be investigated to further inform Lake Erie Cisco restoration. The two unoccupied spatial units will form the basis of a follow-on threats assessment and population viability models that together provide fishery managers science-based planning tools for Lake Erie Cisco restoration.","language":"English","publisher":"Great Lakes CIscoes","usgsCitation":"Egan, J.P., Ackiss, A.S., and Muir, A.M., 2026, Spatial units to support Lake Erie Cisco Coregonus artedi restoration, 29 p.","productDescription":"29 p.","ipdsId":"IP-177655","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":501125,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501123,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.greatlakesciscoes.org/lake-erie-cisco-spatial-unit-assessment-and-delineation/"}],"country":"Canada, United Sates","otherGeospatial":"Lake Erie","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.90437674926393,\n 42.88573072124271\n ],\n [\n -79.52141499356523,\n 42.87769210959476\n ],\n [\n -80.22678399206747,\n 42.79281581499302\n ],\n [\n -80.51880625151767,\n 42.57814946253396\n ],\n [\n -81.02026663661093,\n 42.67543230196293\n ],\n [\n -81.30128454543694,\n 42.67543535756306\n ],\n [\n -81.53822853578485,\n 42.56596464399709\n ],\n [\n -81.9019334399238,\n 42.33014170165541\n ],\n [\n -81.95153424579222,\n 42.26492779780335\n ],\n [\n -82.12236039987853,\n 42.236375180224144\n ],\n [\n -82.45298532777961,\n 42.08524033767702\n ],\n [\n -82.5191058069868,\n 41.92964634487325\n ],\n [\n -82.61828632462084,\n 42.04024072452731\n ],\n [\n -82.91034362126736,\n 41.987015817617134\n ],\n [\n -83.11972864041921,\n 42.077062926530004\n ],\n [\n -83.10317152070901,\n 42.24453450962994\n ],\n [\n -83.29610139408294,\n 41.9419412108324\n ],\n [\n -83.3622121286252,\n 41.92964573816295\n ],\n [\n -83.51644448225035,\n 41.69555451568095\n ],\n [\n -82.9488535420495,\n 41.41103910261083\n ],\n [\n -82.71193183972241,\n 41.41929329585025\n ],\n [\n -82.47491670465367,\n 41.35733064230888\n ],\n [\n -81.99008606791249,\n 41.477110666960954\n ],\n [\n -81.70899983775189,\n 41.46067864477564\n ],\n [\n -81.25720217469238,\n 41.736707291689584\n ],\n [\n -80.6842102922714,\n 41.88460348122109\n ],\n [\n -79.96258495960994,\n 42.16700280222196\n ],\n [\n -79.42295622097835,\n 42.38302164176207\n ],\n [\n -79.37861904307078,\n 42.4440510296389\n ],\n [\n -79.15795348814065,\n 42.52534601120243\n ],\n [\n -79.00930804606551,\n 42.69563463834368\n ],\n [\n -78.83853732874603,\n 42.76038448982763\n ],\n [\n -78.84931646792415,\n 42.86956831700121\n ],\n [\n -78.90437674926393,\n 42.88573072124271\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2026-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Egan, Joshua P.","contributorId":367220,"corporation":false,"usgs":false,"family":"Egan","given":"Joshua","middleInitial":"P.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":957079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackiss, Amanda Susanne 0000-0002-8726-7423","orcid":"https://orcid.org/0000-0002-8726-7423","contributorId":272165,"corporation":false,"usgs":true,"family":"Ackiss","given":"Amanda","email":"","middleInitial":"Susanne","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":957080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muir, Andrew M.","contributorId":367221,"corporation":false,"usgs":false,"family":"Muir","given":"Andrew","middleInitial":"M.","affiliations":[{"id":7019,"text":"Great Lakes Fishery Commission","active":true,"usgs":false}],"preferred":false,"id":957081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275075,"text":"70275075 - 2026 - Surface-wave relocation and characterization of the 2024–2025 dyking episode along the Fentale–Dofen segment of the Ethiopian rift","interactions":[],"lastModifiedDate":"2026-04-14T15:10:35.761644","indexId":"70275075","displayToPublicDate":"2026-03-12T08:01:24","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1803,"text":"Geophysical Journal International","active":true,"publicationSubtype":{"id":10}},"title":"Surface-wave relocation and characterization of the 2024–2025 dyking episode along the Fentale–Dofen segment of the Ethiopian rift","docAbstract":"From late-December 2024 to mid-March 2025, a 50-km-long dyke intrusion triggered over 300 earthquakes (magnitude 4 to 5.9) between Fentale and Dofen volcanoes along the Northern Main Ethiopian Rift. Dyke intrusions periodically occur along the Fentale–Dofen magmatic segment and are an expression of ongoing rift extension. Preliminary analyses using interferometric synthetic aperture radar revealed extensive ground deformation (up to 60 cm), which closely matched the temporal and spatial evolution of surface manifestations and earthquake locations from global catalogues. While global catalogues are critical for real-time monitoring, the precision of locations in remote and or sparsely instrumented regions can be low. In this investigation, we present surface-wave relocation results of the dyking episode that began near Fentale volcano in December 2024. We estimate relative locations using differential traveltimes measured from regional-to-teleseismic distance surface-wave observations of earthquakes reported by the U.S. Geological Survey. Relative relocations reduce the initial region of diffuse seismicity to a 50-km-long narrow band bounding the strike of surface manifestations and the zone of maximum surface deformation. We demonstrate the precision of surface-wave relocations over incremental time periods, capturing the progression of dyking from seismic onset through seismic migration and caldera subsidence. Results showcase the utility of surface-wave relocations in the characterization of dyking episodes and provide complementary insights into the current understanding of the Fentale–Dofen volcanic plumbing system.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/gji/ggag099","usgsCitation":"Deane, C.A., Pesicek, J.D., Bagnardi, M., Shelly, D.R., Prejean, S.G., Yeck, W.L., and Earle, P.S., 2026, Surface-wave relocation and characterization of the 2024–2025 dyking episode along the Fentale–Dofen segment of the Ethiopian rift: Geophysical Journal International, v. 245, no. 3, ggag099, 15 p., https://doi.org/10.1093/gji/ggag099.","productDescription":"ggag099, 15 p.","ipdsId":"IP-183442","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":503005,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/gji/ggag099","text":"Publisher Index Page"},{"id":502779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ethiopia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 40.07693386166687,\n 14.027139942420362\n ],\n [\n 39.37130142715375,\n 10.406777094105706\n ],\n [\n 40.57318165688591,\n 10.098571653063885\n ],\n [\n 41.239047826839084,\n 13.625346480540614\n ],\n [\n 40.07693386166687,\n 14.027139942420362\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"245","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Deane, Chanel A. 0000-0002-7132-0090","orcid":"https://orcid.org/0000-0002-7132-0090","contributorId":369926,"corporation":false,"usgs":false,"family":"Deane","given":"Chanel","middleInitial":"A.","affiliations":[{"id":87886,"text":"former USGS mendenhall","active":true,"usgs":false}],"preferred":false,"id":959370,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pesicek, Jeremy D. 0000-0001-7964-5845","orcid":"https://orcid.org/0000-0001-7964-5845","contributorId":202042,"corporation":false,"usgs":true,"family":"Pesicek","given":"Jeremy","email":"","middleInitial":"D.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":959372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bagnardi, Marco 0000-0002-4315-0944","orcid":"https://orcid.org/0000-0002-4315-0944","contributorId":335933,"corporation":false,"usgs":true,"family":"Bagnardi","given":"Marco","email":"","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":959382,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shelly, David R. 0000-0003-2783-5158 dshelly@usgs.gov","orcid":"https://orcid.org/0000-0003-2783-5158","contributorId":206750,"corporation":false,"usgs":true,"family":"Shelly","given":"David","email":"dshelly@usgs.gov","middleInitial":"R.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":959373,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prejean, Stephanie G. 0000-0003-0510-1989 sprejean@usgs.gov","orcid":"https://orcid.org/0000-0003-0510-1989","contributorId":172404,"corporation":false,"usgs":true,"family":"Prejean","given":"Stephanie","email":"sprejean@usgs.gov","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":959374,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yeck, William L. 0000-0002-2801-8873 wyeck@usgs.gov","orcid":"https://orcid.org/0000-0002-2801-8873","contributorId":147558,"corporation":false,"usgs":true,"family":"Yeck","given":"William","email":"wyeck@usgs.gov","middleInitial":"L.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":959375,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Earle, Paul S. 0000-0002-3500-017X pearle@usgs.gov","orcid":"https://orcid.org/0000-0002-3500-017X","contributorId":173551,"corporation":false,"usgs":true,"family":"Earle","given":"Paul","email":"pearle@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":959376,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70274590,"text":"70274590 - 2026 - The effects of scientific uncertainty and values trade-offs on flow management decisions for an endangered fish","interactions":[],"lastModifiedDate":"2026-04-01T21:22:06.654572","indexId":"70274590","displayToPublicDate":"2026-03-11T14:14:15","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":"The effects of scientific uncertainty and values trade-offs on flow management decisions for an endangered fish","docAbstract":"Consumptive use of freshwater is of concern in many estuarine ecosystems, and various frameworks have been used to prescribe environmental flows to benefit native species. However, few of these frameworks explicitly examine the potential trade-offs between socioeconomic and conservation-oriented values. This is exemplified in California, USA, where freshwater management has been an area of focus and controversy. Operations of numerous reservoirs and water diversion facilities distributed throughout the state, while critical for economic and public health benefits, have contributed to the decline of many native species. The endangered delta smelt (Hypomesus transpacificus) is endemic to the Sacramento-San Joaquin Delta, the heart of California's complex water conveyance system. To aid recovery of delta smelt, fall-timed freshwater pulse flows were implemented, which require water to be either released from reservoirs, or made unavailable to export for consumptive uses. Previous research has indicated that the effectiveness of the current pulse flow action could be improved by reconsidering the timing and magnitude; however, uncertainties in the predicted fish response to flow pulses may hinder decision-making about flow management. Using a water resource planning model, different iterations of an individual-based life cycle model, and decision analysis tools, we assessed the importance of sources of uncertainty to hypothetical flow management decisions, including uncertainty surrounding the predicted responses in delta smelt population growth rates, and variability of decision-maker's values. We found both the choice of which (if any) flow action to take for delta smelt, and the expected value of further research, depended on how decision-makers weight the delta smelt and water supply objectives. There was expected value of information (VOI) only if a decision-maker weighted the delta smelt objective ≥0.59, and within this range, research to improve estimates of changes in delta smelt prey items related to flow actions could be prioritized over other sources of uncertainty to improve outcomes of decision-making. Our study demonstrates how uncertainty, even if large, may not be equally relevant to different decision-makers (e.g., with different agency missions), and how VOI analysis can be used to guide management in an overallocated water system such as California.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70558","usgsCitation":"Mahardja, B., Smith, W.E., Healy, B.D., Koizumi, C., Nobriga, M.L., Acuña, S., Crawford, B., Arend, K.K., and Runge, M.C., 2026, The effects of scientific uncertainty and values trade-offs on flow management decisions for an endangered fish: Ecosphere, v. 17, no. 3, e70558, 19 p., https://doi.org/10.1002/ecs2.70558.","productDescription":"e70558, 19 p.","ipdsId":"IP-179082","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":502057,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70558","text":"Publisher Index Page"},{"id":501969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento-San Joaquin Delta, San Francisco Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.70835642002126,\n 38.292492080303305\n ],\n [\n -122.70835642002126,\n 36.78504888193622\n ],\n [\n -120.74800512414426,\n 36.78504888193622\n ],\n [\n -120.74800512414426,\n 38.292492080303305\n ],\n [\n -122.70835642002126,\n 38.292492080303305\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Mahardja, Brian","contributorId":174645,"corporation":false,"usgs":false,"family":"Mahardja","given":"Brian","email":"","affiliations":[{"id":13461,"text":"U.C. Davis","active":true,"usgs":false}],"preferred":false,"id":958416,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, William E.","contributorId":369083,"corporation":false,"usgs":false,"family":"Smith","given":"William","middleInitial":"E.","affiliations":[{"id":87713,"text":"U.S. Fish and Wildlife Service, San Francisco Bay-Delta Fish and Wildlife Office, Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":958417,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Healy, Brian D. 0000-0002-4402-638X","orcid":"https://orcid.org/0000-0002-4402-638X","contributorId":304257,"corporation":false,"usgs":true,"family":"Healy","given":"Brian","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":958418,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Koizumi, Cameron","contributorId":363551,"corporation":false,"usgs":false,"family":"Koizumi","given":"Cameron","affiliations":[{"id":86721,"text":"US Bureau of Reclamation, Bay-Delta Office, Sacramento, California","active":true,"usgs":false}],"preferred":false,"id":958419,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nobriga, Matthew L.","contributorId":369084,"corporation":false,"usgs":false,"family":"Nobriga","given":"Matthew","middleInitial":"L.","affiliations":[{"id":87713,"text":"U.S. Fish and Wildlife Service, San Francisco Bay-Delta Fish and Wildlife Office, Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":958420,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Acuña, Shawn","contributorId":293913,"corporation":false,"usgs":false,"family":"Acuña","given":"Shawn","affiliations":[{"id":63555,"text":"Metropolitan Water District Southern California, Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":958421,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Crawford, Brian A.","contributorId":341519,"corporation":false,"usgs":false,"family":"Crawford","given":"Brian A.","affiliations":[{"id":81748,"text":"Georgia Cooperative Fish and Wildlife Research Unit","active":true,"usgs":false}],"preferred":false,"id":958422,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Arend, Kristin K.","contributorId":369085,"corporation":false,"usgs":false,"family":"Arend","given":"Kristin","middleInitial":"K.","affiliations":[{"id":87713,"text":"U.S. Fish and Wildlife Service, San Francisco Bay-Delta Fish and Wildlife Office, Sacramento, CA","active":true,"usgs":false}],"preferred":false,"id":958423,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":214737,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":958424,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274193,"text":"fs20263066 - 2026 - Assessment of undiscovered conventional oil and gas resources of South America and the Caribbean, 2025","interactions":[],"lastModifiedDate":"2026-03-12T14:36:49.528121","indexId":"fs20263066","displayToPublicDate":"2026-03-11T11:50:00","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-3066","displayTitle":"Assessment of Undiscovered Conventional Oil and Gas Resources of South America and the Caribbean, 2025","title":"Assessment of undiscovered conventional oil and gas resources of South America and the Caribbean, 2025","docAbstract":"Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean conventional resources of 37.6 billion barrels of oil and 281.6 trillion cubic feet of gas in 31 geologic provinces of South America and the Caribbean.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20263066","programNote":"National and Global Petroleum Assessment","usgsCitation":"Schenk, C.J., Mercier, T.J., Le, P.A., Cicero, A.D., Gelman, S.E., Hearon, J.S., Johnson, B.G., Lagesse, J.H., and Leathers-Miller, H.M., 2026, Assessment of undiscovered conventional oil and gas resources of South America and the Caribbean, 2025: U.S. Geological Survey Fact Sheet 2026–3066, 4 p., https://doi.org/10.3133/fs20263066.","productDescription":"Report: 4 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-183424","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":500988,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20263066/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2026-3066"},{"id":500985,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2026/3066/fs20263066.xml"},{"id":500984,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2026/3066/images"},{"id":500772,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2026/3066/fs20263066.pdf","text":"Report","size":"9.61 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2026-3066"},{"id":500770,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2026/3066/coverthb.jpg"},{"id":500773,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1MI2FYG","text":"USGS data release","linkHelpText":"USGS National and Global Oil and Gas Assessment Project—South America and Caribbean provinces—Assessment Unit Boundaries, Assessment Input Data, and Fact Sheet Data Tables"}],"otherGeospatial":"Caribbean, South America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -58.45853817386718,\n 13.43004801084264\n ],\n [\n -61.45333320389646,\n 19.89259212340386\n ],\n [\n -78.2572391598639,\n 26.28452892339132\n ],\n [\n -79.58332927600556,\n 23.742889739729634\n ],\n [\n -84.84696683089616,\n 23.89342153490864\n ],\n [\n -86.89869997108627,\n 19.109914009913254\n ],\n [\n -87.32639646314531,\n 17.087504336902853\n ],\n [\n -81.83228755638481,\n 19.55509737067692\n ],\n [\n -75.72927581835268,\n 16.143834985794\n ],\n [\n -77.6964764087617,\n 6.913580156094852\n ],\n [\n -82.3945350889498,\n -3.0099967310220137\n ],\n [\n -80.62208090735567,\n -9.955564711150814\n ],\n [\n -76.03422687889487,\n -16.134444305261667\n ],\n [\n -71.37414634430803,\n -19.84524857686681\n ],\n [\n -78.43865962428788,\n -49.925990359254726\n ],\n [\n -65.35929186736915,\n -60.50071053060525\n ],\n [\n -54.77968256393444,\n -51.974033013111615\n ],\n [\n -55.79695773401548,\n -39.25031124406797\n ],\n [\n -38.8988403624939,\n -22.50704406545175\n ],\n [\n -31.721830236886944,\n -6.756212684855086\n ],\n [\n -31.84730311368935,\n -1.4371414685820696\n ],\n [\n -58.45853817386718,\n 13.43004801084264\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
Grasslands are an imperiled ecosystem, and grassland bird abundance is declining across North America. One of the strongest drivers for these declines is woody plant encroachment of grasslands. In the Great Plains and Sagebrush biomes of North America, spatial covariance—a remote-sensing metric for tracking boundaries between vegetation types—is emerging as a new method to identify and strategize conservation of grassland cores in the face of woody plant encroachment. However, the relationship between spatial covariance and grassland bird community occupancy is unknown. Here, we used Bayesian multispecies occupancy models to understand how occupancy probability of six declining grassland species responded to spatial covariance at three scales (0.81, 7.29, and 65.61 ha) and tree cover in fragmented grasslands of Arkansas, USA. Model selection revealed that the smallest spatial scale (0.81 ha) best explained grassland bird occupancy. Tree cover alone was a poor predictor of grassland bird occupancy compared to models that included spatial covariance at the 0.81- and 7.29-ha scales. Grassland bird occupancy declined at tree-grass boundaries (negative spatial covariance at the 0.81-ha scale) and increased in grassland cores (near-zero or slightly positive spatial covariance at the 0.81-ha scale). At low tree cover, Dickcissel (Spiza americana), Eastern Kingbird (Tyrannus tyrannus), Loggerhead Shrike (Lanius ludovicianus), Northern Bobwhite (Colinus virginianus), and Scissor-tailed Flycatcher (Tyrannus forficatus) occupancy probability more than doubled in grassland cores (where spatial covariance approached zero). Eastern Meadowlark (Sturnella magna) had the weakest relationship with spatial covariance. Our results suggest that spatial covariance can identify grassland cores and serve as a powerful predictor of grassland bird community occupancy, even in highly fragmented grasslands. Identifying grassland cores empowers defending core grasslands from woody plant encroachment and then growing cores via active restoration.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.70515","usgsCitation":"Berry, L.L., DeGregorio, B.A., Uden, D.R., and Roberts, C.P., 2026, Finding the (small) cores: Spatial covariance tracks grassland bird community occupancy in fragmented grasslands: Ecosphere, v. 17, no. 3, e70515, 12 p., https://doi.org/10.1002/ecs2.70515.","productDescription":"e70515, 12 p.","ipdsId":"IP-167761","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":502095,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.70515","text":"Publisher Index Page"},{"id":502026,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Bald Knob National Wildlife Refuge, Cache River National Wildlife Refuge, Camp Robinson Special Use Area, Holla Bend National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.55982952388516,\n 35.69384138213361\n ],\n [\n -91.55982952388516,\n 35.08983573060459\n ],\n [\n -90.1524295998061,\n 35.08983573060459\n ],\n [\n -90.1524295998061,\n 35.69384138213361\n ],\n [\n -91.55982952388516,\n 35.69384138213361\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Berry, Lauren L.","contributorId":369145,"corporation":false,"usgs":false,"family":"Berry","given":"Lauren","middleInitial":"L.","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":958532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958533,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Uden, Daniel R.","contributorId":369146,"corporation":false,"usgs":false,"family":"Uden","given":"Daniel","middleInitial":"R.","affiliations":[{"id":16610,"text":"University of Nebraska-Lincoln","active":true,"usgs":false}],"preferred":false,"id":958534,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roberts, Caleb Powell 0000-0002-8716-0423","orcid":"https://orcid.org/0000-0002-8716-0423","contributorId":288567,"corporation":false,"usgs":true,"family":"Roberts","given":"Caleb","email":"","middleInitial":"Powell","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":958535,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}