{"pageNumber":"15","pageRowStart":"350","pageSize":"25","recordCount":185113,"records":[{"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":"2026-06-02T16:13:56.145125","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., Thompson 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, v. 116, no. 3, p. 1321-1351, https://doi.org/10.1785/0120250040.","productDescription":"31 p.","startPage":"1321","endPage":"1351","ipdsId":"IP-182010","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":501456,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501594,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120250040","text":"Publisher Index Page"}],"country":"United States","otherGeospatial":"Puerto Rico, U.S. Virgin Islands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -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}","volume":"116","issue":"3","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 - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":957460,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957461,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957462,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thompson Jobe, Jessica A. 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Thompson Jobe","given":"Jessica","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957463,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Llenos, Andrea L. 0000-0002-4088-6737 allenos@usgs.gov","orcid":"https://orcid.org/0000-0002-4088-6737","contributorId":4455,"corporation":false,"usgs":true,"family":"Llenos","given":"Andrea","email":"allenos@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":957464,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Michael, Andrew J. 0000-0002-2403-5019 michael@usgs.gov","orcid":"https://orcid.org/0000-0002-2403-5019","contributorId":1280,"corporation":false,"usgs":true,"family":"Michael","given":"Andrew","email":"michael@usgs.gov","middleInitial":"J.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true}],"preferred":true,"id":957465,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shumway, Allison M. 0000-0003-1142-7141 ashumway@usgs.gov","orcid":"https://orcid.org/0000-0003-1142-7141","contributorId":147862,"corporation":false,"usgs":true,"family":"Shumway","given":"Allison","email":"ashumway@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957466,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Field, Edward H. 0000-0001-8172-7882 field@usgs.gov","orcid":"https://orcid.org/0000-0001-8172-7882","contributorId":52242,"corporation":false,"usgs":true,"family":"Field","given":"Edward","email":"field@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957467,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Haynie, Kirstie Lafon 0000-0001-9930-6736","orcid":"https://orcid.org/0000-0001-9930-6736","contributorId":289894,"corporation":false,"usgs":true,"family":"Haynie","given":"Kirstie","email":"","middleInitial":"Lafon","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":957468,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70274273,"text":"70274273 - 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":70275562,"text":"70275562 - 2026 - Statewide agent-based model for management of chronic wasting disease in white-tailed deer: PAOvCWD","interactions":[],"lastModifiedDate":"2026-05-04T17:27:41.45131","indexId":"70275562","displayToPublicDate":"2026-03-16T10:21:34","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7479,"text":"MethodsX","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Statewide agent-based model for management of chronic wasting disease in white-tailed deer: PAOvCWD","title":"Statewide agent-based model for management of chronic wasting disease in white-tailed deer: PAOvCWD","docAbstract":"

Chronic wasting disease (CWD) is an always-fatal disease infecting wild cervids globally. Ecologically and economically important, CWD presents a challenge for managing white-tailed deer (Odocoileus virginianus). We built an agent-based model to simulate CWD transmission and assess potential management actions that could slow disease spread: PAOvCWD. We developed PAOvCWD using contact rates and other behavioral and ecological metrics estimated from deer monitored in Pennsylvania, USA. We programmed potential management responses (e.g., culling, altered hunter harvest) for all 22 Pennsylvania wildlife management units and validated the efficacy of PAOvCWD using a deer population in south-central Pennsylvania infected with CWD for > 10 years. To support applications of our model, we developed a user-friendly R pipeline that allows implementation with relatively minor modifications. Our pipeline includes four steps:

","language":"English","publisher":"Elsevier","doi":"10.1016/j.mex.2026.103823","usgsCitation":"Wehr, N.H., Rosenberry, C.S., Stainbrook, D., Staats, M., Korman, A.L., and Walter, W., 2026, Statewide agent-based model for management of chronic wasting disease in white-tailed deer: PAOvCWD: MethodsX, v. 16, 103823, 16 p., https://doi.org/10.1016/j.mex.2026.103823.","productDescription":"103823, 16 p.","ipdsId":"IP-183423","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":504187,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.mex.2026.103823","text":"Publisher Index Page"},{"id":503957,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.52570032431473,\n 42.37910582401369\n ],\n [\n -80.52570032431473,\n 39.7574248075166\n ],\n [\n -75.28642802666494,\n 39.74932521784851\n ],\n [\n -74.71459853396998,\n 40.20609004712162\n ],\n [\n -75.04199041686836,\n 40.68565656763054\n ],\n [\n -74.674371591522,\n 41.46091896179685\n ],\n [\n -75.02824981894486,\n 41.58885964729429\n ],\n [\n -75.04425524379862,\n 41.96621048650465\n ],\n [\n -79.67841620003504,\n 42.06937709005368\n ],\n [\n -80.52570032431473,\n 42.37910582401369\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wehr, Nathaniel H.","contributorId":371018,"corporation":false,"usgs":false,"family":"Wehr","given":"Nathaniel","middleInitial":"H.","affiliations":[{"id":85818,"text":"Pennsylvania Cooperative Fish and Wildlife Research Unit, The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":960886,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosenberry, Christopher S.","contributorId":371019,"corporation":false,"usgs":false,"family":"Rosenberry","given":"Christopher","middleInitial":"S.","affiliations":[{"id":88073,"text":"Pennsylvania Game Commission, Bureau of Wildlife Management","active":true,"usgs":false}],"preferred":false,"id":960887,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stainbrook, David","contributorId":272188,"corporation":false,"usgs":false,"family":"Stainbrook","given":"David","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":960888,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Staats, Maureen","contributorId":371020,"corporation":false,"usgs":false,"family":"Staats","given":"Maureen","affiliations":[{"id":88073,"text":"Pennsylvania Game Commission, Bureau of Wildlife Management","active":true,"usgs":false}],"preferred":false,"id":960889,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Korman, Andrea L.","contributorId":371021,"corporation":false,"usgs":false,"family":"Korman","given":"Andrea","middleInitial":"L.","affiliations":[{"id":88073,"text":"Pennsylvania Game Commission, Bureau of Wildlife Management","active":true,"usgs":false}],"preferred":false,"id":960890,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":960891,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70274507,"text":"70274507 - 2026 - Dog attacks on wild desert tortoises: A risk model","interactions":[],"lastModifiedDate":"2026-05-07T15:49:00.031275","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, v. 90, no. 4, 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":501720,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502044,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.70192","text":"Publisher Index Page"}],"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}","volume":"90","issue":"4","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":"2026-05-07T15:48:19.993938","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, v. 22, 40, 17 p., https://doi.org/10.1186/s42408-026-00455-x.","productDescription":"40, 17 p.","ipdsId":"IP-179064","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501718,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501962,"rank":1,"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 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Estimating the evolving state of stress along active fault systems can provide insight into the conditions that generated past ground‐rupturing earthquakes and influenced their ability to propagate through areas of geometric complexity, such as fault branches and stepovers. We use quasi‐static forward numerical models that incorporate the 3D complex configuration of active faults in southern California to estimate shear tractions on the geometrically complex southern San Andreas and San Jacinto faults from 1000 to 1900 C.E. These tractions include interseismic accumulation of traction due to tectonic loading, viscoelastic relaxation of shear stress within the upper crust between earthquakes, and effects of other earthquakes on the fault network. We simulate ground‐rupturing earthquakes based on the along‐strike earthquake extents modeled by Scharer and Yule (2020), assuming that stress drop is complete in each earthquake. We use Monte Carlo simulations to estimate uncertainty in evolving shear tractions due to uncertainties in earthquake timing and in upper‐crustal viscosity. Pre‐earthquake shear tractions typically do not exceed ∼2 MPa. Although ruptures with length <200 km have pre‐earthquake shear tractions that range from near zero to ∼1.75 MPa, these tractions are not less than ∼0.4 MPa for earthquakes with rupture length >200 km. Earthquakes with long (>200 km) ruptures occur only in the single‐stranded part of the system, whereas those with short (<125 km) rupture length and high pre‐earthquake shear traction occur near fault stepovers and branches. This suggests that high accumulated shear traction encourages longer rupture propagation, but may not be sufficient to overcome geometric complexities. This modeling approach informs our understanding of rupture propagation and provides estimates of fault shear tractions that are unavailable from direct measurements.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120250173","usgsCitation":"Anderson-Merritt, E., Cooke, M., and Scharer, K., 2026, Stress states on the eve of past earthquakes inform earthquake rupture through fault complexity along the San Andreas and San Jacinto faults: Bulletin of the Seismological Society of America, v. 116, no. 3, p. 1125-1144, https://doi.org/10.1785/0120250173.","productDescription":"20 p.","startPage":"1125","endPage":"1144","ipdsId":"IP-181185","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":504642,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1785/0120250173","text":"Publisher Index Page"},{"id":504410,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Callifornia","otherGeospatial":"San Andreas fault, San Jacinto fault","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.9458258,\n 32.9828925\n ],\n [\n -115.2891279,\n 33.6577595\n ],\n [\n -119.2237854,\n 36.5042376\n ],\n [\n -121.0047357,\n 35.9362112\n ],\n [\n -119.0166982,\n 34.2760537\n ],\n [\n -116.9458258,\n 32.9828925\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"116","issue":"3","noUsgsAuthors":false,"publicationDate":"2026-03-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson-Merritt, Emery","contributorId":296632,"corporation":false,"usgs":false,"family":"Anderson-Merritt","given":"Emery","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":961588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooke, Michelle","contributorId":329695,"corporation":false,"usgs":false,"family":"Cooke","given":"Michelle","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":961589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scharer, Katherine M. 0000-0003-2811-2496","orcid":"https://orcid.org/0000-0003-2811-2496","contributorId":217361,"corporation":false,"usgs":true,"family":"Scharer","given":"Katherine M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":961590,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70275325,"text":"70275325 - 2026 - Optimizing cryo-focused pyrolysis GC/MS for tracing soil organic matter across diverse ecosystems","interactions":[],"lastModifiedDate":"2026-04-29T15:07:58.505458","indexId":"70275325","displayToPublicDate":"2026-03-16T07:43:00","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Optimizing cryo-focused pyrolysis GC/MS for tracing soil organic matter across diverse ecosystems","docAbstract":"The cycling of organic matter in terrestrial soils and sediments is central to a range of biogeochemical processes that regulate nutrient cycling, crop productivity, trace gas emissions, and contaminant transport. Pyrolysis-gas chromatography/mass spectrometry (py-GC/MS) is a powerful tool for characterizing bulk soil organic matter (SOM) at the molecular level. In this study, we used a cryo-focused py-GC/MS system to analyze soil samples from seven diverse ecosystems: vernal pool, prairie pothole, temperate forest, tropical forest, tundra, wildfire-affected boreal forest, and grassland. We addressed a key bottleneck in molecular-level SOM characterization by developing an automated data analysis pipeline to optimize py-GC/MS and complementary evolved gas analysis/mass spectrometry (EGA/MS) methods, incorporating advanced tools for data deconvolution, developing a custom compound class library, and implementing fragmentation spectrum-based molecular networking for the first time. This improved workflow was applied to soil samples from all seven ecosystems, including multiple depths and density fractions. Our findings demonstrate that ecosystem type plays a dominant role in shaping compositional differences in SOM. We also identified trends in the source of SOM compounds (e.g., microbial vs. plant-derived) across soil depth and density fractions, which are critical for understanding persistence and turnover of SOM. Our molecular networking analysis indicated that although many compounds are widespread across ecosystems, others are restricted to specific environments, such as wetlands. This underscores the utility of molecular-level data in elucidating the complexity of SOM composition and the environmental drivers that shape it. Such molecular-level insights can deepen our knowledge of biogeochemical SOM cycles.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.5c16415","usgsCitation":"Shahriar, A., Zavarin, M., Nuccio, E.E., Grant, K.E., McFarlane, K.J., Pett-Ridge, J., Toews, D., Sexton, J.P., Ryals, R., Baccel, J., Berndt, A.J., Boiteau, R., Jawad, I., Yang, Y., Bansal, S., O’Loughlin, E.J., Kemner, K.M., Matamala, R., and Morrison, K.D., 2026, Optimizing cryo-focused pyrolysis GC/MS for tracing soil organic matter across diverse ecosystems: Environmental Science and Technology, v. 60, no. 12, p. 9237-9249, https://doi.org/10.1021/acs.est.5c16415.","productDescription":"13 p.","startPage":"9237","endPage":"9249","ipdsId":"IP-183805","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":503783,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Cass Ave., Lemont, IL 60439","active":true,"usgs":false}],"preferred":false,"id":960620,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Morrison, Keith D.","contributorId":370651,"corporation":false,"usgs":false,"family":"Morrison","given":"Keith","middleInitial":"D.","affiliations":[],"preferred":false,"id":960621,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"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":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","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.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.quascirev.2026.109842","usgsCitation":"Paradeisis-Stathis, S., Waters, M.N., Willard, D., and Vachula, R.S., 2026, Cyanobacteria and aquatic ecosystem dynamics across 28,000 years of environmental changes in subtropical North America: Quaternary Science Reviews, v. 376, 109842, 16 p., https://doi.org/10.1016/j.quascirev.2026.109842.","productDescription":"109842, 16 p.","ipdsId":"IP-182873","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":499358,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","county":"Columbus County","otherGeospatial":"Lake Waccamaw","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.55875571718715,\n 34.328104747425044\n ],\n [\n -78.55875571718715,\n 34.253886976723734\n ],\n [\n -78.46123020991186,\n 34.253886976723734\n ],\n [\n -78.46123020991186,\n 34.328104747425044\n ],\n [\n -78.55875571718715,\n 34.328104747425044\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"376","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Paradeisis-Stathis, Savvas","contributorId":362173,"corporation":false,"usgs":false,"family":"Paradeisis-Stathis","given":"Savvas","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":954794,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waters, Matthew N.","contributorId":365787,"corporation":false,"usgs":false,"family":"Waters","given":"Matthew","middleInitial":"N.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":954795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Willard, Debra A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":269840,"corporation":false,"usgs":true,"family":"Willard","given":"Debra A.","affiliations":[],"preferred":true,"id":954796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vachula, Richard S.","contributorId":365788,"corporation":false,"usgs":false,"family":"Vachula","given":"Richard","middleInitial":"S.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":954797,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70274249,"text":"70274249 - 2026 - Evaluating drivers of environmental change in a lake sediment core: Insights from spectroscopic metrics of water-extractable organic matter and stable carbon isotopes","interactions":[],"lastModifiedDate":"2026-03-19T19:00:42.984594","indexId":"70274249","displayToPublicDate":"2026-03-13T13:48:13","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating drivers of environmental change in a lake sediment core: Insights from spectroscopic metrics of water-extractable organic matter and stable carbon isotopes","docAbstract":"

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":"2026-05-19T15:40:17.009186","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":"

Background and aims

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.

Methods

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.

Results

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.

Conclusions

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, v. 521, p. 1517-1536, https://doi.org/10.1007/s11104-026-08455-1.","productDescription":"20 p.","startPage":"1517","endPage":"1536","ipdsId":"IP-166367","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":502940,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502983,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11104-026-08455-1","text":"Publisher Index Page"}],"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}","volume":"521","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. 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Sea ice affects Earth's climate system on both regional and global scales. Its incorporation into climate can be used to achieve more accurate predictions of future climate. However, instrumental records of sea-ice concentration do not extend earlier than 1978. In an effort to extend this record, we constructed a proxy using the generalized additive model based on relative abundances of five easy-to-identify diatom species found in sediment samples across the Bering and Chukchi seas. Here we present the first quantitative diatom-based sea-ice proxy developed for Beringia. The developed proxy has been applied to two sediment cores in the Bering Sea ranging from 0 to 25.7 ka (HLY0204 51JPC) and 369 to 430 ka (IODP Exp 323 Site U1345) and one in the Chukchi Sea ranging from 2.7 to 10 ka (HLY0204 24JPC). The obtained reconstructions of sea-ice concentrations are similar, but not identical to previously published qualitative and nearby records based on other proxies. Because our results are quantitative, they can be incorporated into regional climate models. The proxy is publicly available as an R Shiny application (app) and can be applied to any diatom count from marine sediments in the region.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.palaeo.2026.113686","usgsCitation":"Nesterovich, A., and Caissie, B.E., 2026, A diatom-based quantitative sea-ice proxy for the Bering and Chukchi seas: Palaeogeography, Palaeoclimatology, Palaeoecology, v. 690, 113686, 19 p., https://doi.org/10.1016/j.palaeo.2026.113686.","productDescription":"113686, 19 p.","ipdsId":"IP-179048","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":505308,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13N4Q7Z","text":"USGS data release","linkHelpText":"Sea Ice Proxy App"},{"id":505088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia, United States","otherGeospatial":"Bering Sea, Chukchi Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -179.9,\n 75\n ],\n [\n -160,\n 75\n ],\n [\n -160,\n 54\n ],\n [\n -179.9,\n 54\n ],\n [\n -179.9,\n 65.1571568\n ],\n [\n -179.9,\n 75\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"690","noUsgsAuthors":false,"publicationDate":"2026-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Nesterovich, Anna","contributorId":371853,"corporation":false,"usgs":false,"family":"Nesterovich","given":"Anna","affiliations":[{"id":62149,"text":"Great Lakes Environmental Center","active":true,"usgs":false}],"preferred":false,"id":962465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caissie, Beth Elaine 0000-0001-9587-1842","orcid":"https://orcid.org/0000-0001-9587-1842","contributorId":292500,"corporation":false,"usgs":true,"family":"Caissie","given":"Beth","email":"","middleInitial":"Elaine","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":962466,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70274757,"text":"70274757 - 2026 - Sentinel-2 for chlorophyll-a water quality monitoring: A review of validation evidence and application potential","interactions":[],"lastModifiedDate":"2026-05-07T15:54:18.582905","indexId":"70274757","displayToPublicDate":"2026-03-13T08:04:56","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2068,"text":"International Journal of Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Sentinel-2 for chlorophyll-a water quality monitoring: A review of validation evidence and application potential","docAbstract":"

Water quality monitoring is integral to preserving the health of freshwater ecosystems, and satellite remote sensing has emerged as one monitoring method. 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, v. 47, no. 9, p. 3820-3845, https://doi.org/10.1080/01431161.2026.2637851.","productDescription":"26 p.","startPage":"3820","endPage":"3845","ipdsId":"IP-179166","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":502274,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502483,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/01431161.2026.2637851","text":"Publisher Index Page"}],"volume":"47","issue":"9","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 - 2026 - Resilience thinking for human-wildlife coexistence: Bridging dynamic systems, archetypes, and transformations","interactions":[],"lastModifiedDate":"2026-04-01T21:06:23.01839","indexId":"70274568","displayToPublicDate":"2026-03-12T14:02:11","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":698,"text":"Ambio","active":true,"publicationSubtype":{"id":10}},"title":"Resilience thinking for human-wildlife coexistence: Bridging dynamic systems, archetypes, and transformations","docAbstract":"

As human activities and wildlife increasingly overlap in the Anthropocene, conventional conservation paradigms focused on land-sparing are shifting toward strategies that support human–wildlife coexistence. 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":"2026-05-19T15:38:32.449826","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":"

BACKGROUND

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.

RESULTS

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.

CONCLUSION

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, v. 82, no. 6, p. 5225-5236, https://doi.org/10.1002/ps.70630.","productDescription":"12 p.","startPage":"5225","endPage":"5236","ipdsId":"IP-181693","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":502020,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":502094,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ps.70630","text":"Publisher Index Page"}],"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}","volume":"82","issue":"6","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":70276515,"text":"70276515 - 2026 - Timing is everything: Drivers of upstream movement of fishes","interactions":[],"lastModifiedDate":"2026-06-09T17:50:35.636069","indexId":"70276515","displayToPublicDate":"2026-03-12T10:42:58","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Timing is everything: Drivers of upstream movement of fishes","docAbstract":"
Objective

Understanding whether fishes quickly respond to shifting temperatures and flows, especially as they pass through river reaches that may be thermally unsuitable, may help to prioritize climate-informed management strategies.

Methods

Here, we use 15 years of daily fish passage data (2005–2020) from the Leaburg Dam on the McKenzie River, Oregon, USA, with water temperatures and river flows from two associated gauges. We examine the relative influence of temperature, flow, and calendar date on fish moving upstream, the range of conditions experienced by each species, and long-term patterns in timing, supported by annual count data from the years 1971–2020.

Results

Comparisons of timing and conditions while each species passed upstream through the Leaburg Dam fish ladders revealed that some taxa were more consistent seasonally (e.g., Pacific Lamprey Entosphenus tridentatus and Largescale Sucker Catostomus macrocheilus), experiencing a more restricted range of conditions, while others moved throughout the year under highly variable environmental conditions (e.g., trout). For both groups, calendar date appeared to be a primary driver of movement timing, even when local environmental factors of temperature and flow were considered. We note broad trends toward earlier passage across all species except Chinook Salmon Oncorhynchus tshawytscha. Notable declines in movement of Mountain Whitefish Prosopium williamsoni and Largescale Suckers occurred during years of extreme weather events, indicating that they may be particularly sensitive to the combined impacts of water temperature and flow and could serve as sentinel taxa.

Conclusions

Although timing is recognized as a driver for the onset of migrations, this suggests that most fish may continue to move upriver during consistent time periods, potentially increasing their risk of exposure to suboptimal environmental conditions. Our results demonstrate the utility of long-term passage data for detecting patterns in local timing, environmental conditions co-occurring with fish movement, and the sensitivity of different fish species in responding to environmental extremes during upstream migrations.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/tafafs/vnag008","usgsCitation":"Weedop, D., Womer, J.D., Ziller, J.S., and Murphy, C.A., 2026, Timing is everything: Drivers of upstream movement of fishes: Transactions of the American Fisheries Society, vnag008, 16 p., https://doi.org/10.1093/tafafs/vnag008.","productDescription":"vnag008, 16 p.","ipdsId":"IP-146810","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":505254,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Leaburg Dam, McKenzie River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.62093167161753,\n 44.140851385607874\n ],\n [\n -122.6206991366225,\n 44.140851385607874\n ],\n [\n -122.6206991366225,\n 44.140851385607874\n ],\n [\n -122.62093167161753,\n 44.140851385607874\n ],\n [\n -122.6027939,\n 44.1315057\n ],\n [\n -122.62093167161753,\n 44.140851385607874\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.62209434659192,\n 44.14168575007912\n ],\n [\n -122.59814324212208,\n 44.14168575007912\n ],\n [\n -122.59814324212208,\n 44.12633155623743\n ],\n [\n -122.62209434659192,\n 44.12633155623743\n ],\n [\n -122.62209434659192,\n 44.14168575007912\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Online First","noUsgsAuthors":false,"publicationDate":"2026-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Weedop, Daison","contributorId":371891,"corporation":false,"usgs":false,"family":"Weedop","given":"Daison","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":962557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Womer, Jeremy D.","contributorId":371892,"corporation":false,"usgs":false,"family":"Womer","given":"Jeremy","middleInitial":"D.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":962558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ziller, Jeffrey S.","contributorId":371893,"corporation":false,"usgs":false,"family":"Ziller","given":"Jeffrey","middleInitial":"S.","affiliations":[{"id":36223,"text":"Oregon Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":962559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Christina Amy 0000-0002-3467-6610","orcid":"https://orcid.org/0000-0002-3467-6610","contributorId":335232,"corporation":false,"usgs":true,"family":"Murphy","given":"Christina","email":"","middleInitial":"Amy","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":962560,"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.

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Kansas","active":true,"usgs":false}],"preferred":false,"id":959464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":959465,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274556,"text":"70274556 - 2026 - Epigenetics in captivity: Restoring wild phenotypes in captive-reared salmonids","interactions":[],"lastModifiedDate":"2026-04-02T13:47:45.108645","indexId":"70274556","displayToPublicDate":"2026-03-12T09:58:55","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1601,"text":"Evolutionary Applications","active":true,"publicationSubtype":{"id":10}},"title":"Epigenetics in captivity: Restoring wild phenotypes in captive-reared salmonids","docAbstract":"

Captive rearing is a common practice for the stocking, conservation, and supplementation of fish species worldwide, but captive-reared fish can exhibit altered phenotypes leading to reduced fitness in nature compared to wild conspecifics. 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.

","language":"English","publisher":"Wiley","doi":"10.1111/eva.70210","usgsCitation":"Attfield, T., Honsey, A.E., Ackiss, A.S., Luek, A., Meagher, B., Nuetzel, H., Koch, I., April, J., Wakeling, K., Wellband, K., Bouchard, R., Lehnhert, S.J., Narum, S.R., Healy, T., Pitcher, T.E., and Venney, C.J., 2026, Epigenetics in captivity: Restoring wild phenotypes in captive-reared salmonids: Evolutionary Applications, v. 19, no. 3, e70210, 17 p., https://doi.org/10.1111/eva.70210.","productDescription":"e70210, 17 p.","ipdsId":"IP-183514","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":502102,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/eva.70210","text":"Publisher Index 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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":958284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Luek, Andreas","contributorId":369011,"corporation":false,"usgs":false,"family":"Luek","given":"Andreas","affiliations":[{"id":85260,"text":"Alberta Environment and Protected Areas","active":true,"usgs":false}],"preferred":false,"id":958285,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meagher, Brian","contributorId":369012,"corporation":false,"usgs":false,"family":"Meagher","given":"Brian","affiliations":[{"id":85260,"text":"Alberta Environment and Protected Areas","active":true,"usgs":false}],"preferred":false,"id":958286,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nuetzel, 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Kristy","contributorId":369016,"corporation":false,"usgs":false,"family":"Wakeling","given":"Kristy","affiliations":[{"id":87699,"text":"Alberta Forestry and Parks","active":true,"usgs":false}],"preferred":false,"id":958290,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Wellband, Kyle","contributorId":369017,"corporation":false,"usgs":false,"family":"Wellband","given":"Kyle","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":958291,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bouchard, Raphael","contributorId":369018,"corporation":false,"usgs":false,"family":"Bouchard","given":"Raphael","affiliations":[{"id":56273,"text":"Université Laval","active":true,"usgs":false}],"preferred":false,"id":958292,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Lehnhert, Sarah J.","contributorId":369019,"corporation":false,"usgs":false,"family":"Lehnhert","given":"Sarah","middleInitial":"J.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":958293,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Narum, Shawn R.","contributorId":167146,"corporation":false,"usgs":false,"family":"Narum","given":"Shawn","email":"","middleInitial":"R.","affiliations":[{"id":13314,"text":"Columbia River Inter-Tribal Fish Commission","active":true,"usgs":false}],"preferred":false,"id":958294,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Healy, Timothy","contributorId":369020,"corporation":false,"usgs":false,"family":"Healy","given":"Timothy","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":958295,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Pitcher, Trevor E.","contributorId":369021,"corporation":false,"usgs":false,"family":"Pitcher","given":"Trevor","middleInitial":"E.","affiliations":[{"id":48871,"text":"University of Windsor","active":true,"usgs":false}],"preferred":false,"id":958296,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Venney, Clare J.","contributorId":369022,"corporation":false,"usgs":false,"family":"Venney","given":"Clare","middleInitial":"J.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":958297,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70275760,"text":"70275760 - 2026 - Modeling species co-occurrence effects to inform invasive barred owl management and recovery of the northern spotted owl","interactions":[],"lastModifiedDate":"2026-05-18T14:41:52.270467","indexId":"70275760","displayToPublicDate":"2026-03-12T09:34:59","publicationYear":"2026","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Modeling species co-occurrence effects to inform invasive barred owl management and recovery of the northern spotted owl","docAbstract":"

Robust estimation of wildlife populations represents a cornerstone of wildlife research and provides critical information to guide management, including identifying at-risk species, setting harvest rates, and evaluating predator and invasive species control programs. Efforts to enhance population estimation have long included influences one species may have on another, beginning with direct effects of predation on prey populations. More recently, researchers have incorporated co-occurrence effects, such as fear of a competitor, into Lotka–Volterra competition models to generate more robust wildlife population estimates. Here, we introduce two modified Lotka–Volterra competition models, which incorporate one- and two-way co-occurrence effects, to estimate populations of two competing species. Using the test case of northern spotted (Strix occidentalis caurina) and barred owl (Strix varia) populations in the Pacific Northwest region of the United States, we evaluate if these new co-occurrence models can generate more robust population estimates than previous models. We then evaluate if potential co-occurrence effects among barred and northern spotted owls are uni- or bidirectional. Lastly, we leverage the best-performing model to evaluate the degree to which a recently proposed barred owl culling program may help recover northern spotted owl populations. Our model results suggest that incorporating co-occurrence effects improves model fit compared to classical Lotka–Volterra competition models. We found strong evidence for unidirectional co-occurrence effects of barred owls on northern spotted owls, but not vice versa. Our simulations of barred owl culling suggest that barred owls would need to be culled from approximately 40% of all occupied barred owl territories each year to reverse ongoing northern spotted owl population declines.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.70195","usgsCitation":"Srivastava, V., Van Lanen, N.J., and Parshad, R.D., 2026, Modeling species co-occurrence effects to inform invasive barred owl management and recovery of the northern spotted owl: Ecological Applications, v. 36, no. 2, e70195, 17 p., https://doi.org/10.1002/eap.70195.","productDescription":"e70195, 17 p.","ipdsId":"IP-165311","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":504744,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1P33RZS","text":"USGS data release","linkHelpText":"Data and analytical code associated with a modified Lotka-Volterra model, assessing population-level co-occurrence effects between barred (Strix varia) and northern spotted owls (Strix occidentalis caurina), in western Oregon (1990 – 2015)"},{"id":504643,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.70195","text":"Publisher Index Page"},{"id":504474,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Coast Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.5,\n 45.2\n ],\n [\n -123,\n 45.2\n ],\n [\n -123,\n 43.7\n ],\n [\n -124.5,\n 43.7\n ],\n [\n -124.5,\n 45.2\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"36","issue":"2","noUsgsAuthors":false,"publicationDate":"2026-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Srivastava, Vaibhava","contributorId":371362,"corporation":false,"usgs":false,"family":"Srivastava","given":"Vaibhava","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":961678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Lanen, Nicholas J. 0000-0003-0871-0261","orcid":"https://orcid.org/0000-0003-0871-0261","contributorId":302927,"corporation":false,"usgs":true,"family":"Van Lanen","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":961679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parshad, Rana D.","contributorId":371363,"corporation":false,"usgs":false,"family":"Parshad","given":"Rana","middleInitial":"D.","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":961680,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70274204,"text":"ofr20261069 - 2026 - ECCOE Landsat quarterly calibration and validation report—Quarter 3, 2025","interactions":[],"lastModifiedDate":"2026-06-10T17:44:42.372184","indexId":"ofr20261069","displayToPublicDate":"2026-03-12T09:08:38","publicationYear":"2026","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2026-1069","displayTitle":"ECCOE Landsat Quarterly Calibration and Validation Report—Quarter 3, 2025","title":"ECCOE Landsat quarterly calibration and validation report—Quarter 3, 2025","docAbstract":"

Executive Summary 

The U.S. Geological Survey Earth Resources Observation and Science Calibration and Validation (Cal/Val) Center of Excellence (ECCOE) focuses on improving the accuracy, precision, calibration, and product quality of remote-sensing data, leveraging years of multiscale optical system geometric and radiometric calibration and characterization experience. The ECCOE Landsat Cal/Val Team continually monitors the geometric and radiometric performance of active Landsat missions and makes calibration adjustments, as needed, to maintain data quality at the highest level.

This report provides observed geometric and radiometric analysis results for Landsats 8 and 9 for quarter 3 (July–September) of 2025. All data used to compile the Cal/Val analysis results presented in this report are freely available from the U.S. Geological Survey EarthExplorer website: https://earthexplorer.usgs.gov.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20261069","usgsCitation":"Haque, M.O., Hasan, M.N., Shrestha, A., Rengarajan, R., Lubke, M., Steinwand, D., Bresnahan, P., Shaw, J.L., Ruslander, K., Micijevic, E., Choate, M.J., Anderson, C., Clauson, J., Thome, K., Kaita, E., Angal, A., Levy, R., Miller, J., Ding, L., and Teixeira Pinto, C., 2026, ECCOE Landsat quarterly calibration and validation report—Quarter 3, 2025: U.S. Geological Survey Open-File Report 2026–1069, 55 p., https://doi.org/10.3133/ofr20261069.","productDescription":"Report: viii, 55 p.; Dataset","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-184277","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":500978,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2026/1069/coverthb.jpg"},{"id":500982,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://earthexplorer.usgs.gov/","text":"USGS database","linkHelpText":"- EarthExplorer"},{"id":500981,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2026/1069/images/"},{"id":500980,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2026/1069/ofr20261069.XML"},{"id":500979,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2026/1069/ofr20261069.pdf","text":"Report","size":"5.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2026-1069"}],"contact":"

Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2026-03-12","noUsgsAuthors":false,"plainLanguageSummary":"

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.

","publicationDate":"2026-03-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Haque, Md Obaidul 0000-0002-0914-1446","orcid":"https://orcid.org/0000-0002-0914-1446","contributorId":290335,"corporation":false,"usgs":false,"family":"Haque","given":"Md Obaidul","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":956959,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hasan, Nahid 0000-0002-0463-601X","orcid":"https://orcid.org/0000-0002-0463-601X","contributorId":292342,"corporation":false,"usgs":false,"family":"Hasan","given":"Nahid","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":956960,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shrestha, Ashish 0000-0002-9407-5462","orcid":"https://orcid.org/0000-0002-9407-5462","contributorId":298063,"corporation":false,"usgs":false,"family":"Shrestha","given":"Ashish","email":"","affiliations":[{"id":40546,"text":"KBR, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":956961,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rengarajan, Rajagopalan 0000-0003-1860-7110","orcid":"https://orcid.org/0000-0003-1860-7110","contributorId":242014,"corporation":false,"usgs":false,"family":"Rengarajan","given":"Rajagopalan","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":956962,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lubke, Mark 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Center","active":true,"usgs":false}],"preferred":false,"id":956972,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Angal, Amit","contributorId":360771,"corporation":false,"usgs":false,"family":"Angal","given":"Amit","affiliations":[{"id":78842,"text":"SSAI, under contract to NASA","active":true,"usgs":false}],"preferred":false,"id":956973,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Levy, Raviv","contributorId":131008,"corporation":false,"usgs":false,"family":"Levy","given":"Raviv","email":"","affiliations":[{"id":7209,"text":"SSAI / NASA / GSFC","active":true,"usgs":false}],"preferred":false,"id":956974,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Miller, Jeff","contributorId":204570,"corporation":false,"usgs":false,"family":"Miller","given":"Jeff","email":"","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":956975,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Ding, Leibo","contributorId":330182,"corporation":false,"usgs":false,"family":"Ding","given":"Leibo","email":"","affiliations":[{"id":78842,"text":"SSAI, under contract to NASA","active":true,"usgs":false}],"preferred":false,"id":956976,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Teixeira Pinto, Cibele","contributorId":357558,"corporation":false,"usgs":false,"family":"Teixeira Pinto","given":"Cibele","affiliations":[{"id":78842,"text":"SSAI, under contract to NASA","active":true,"usgs":false}],"preferred":false,"id":956977,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70274333,"text":"70274333 - 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","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. 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