In subduction zones worldwide, seafloor pressure data are used to observe tectonic deformation, particularly from megathrust earthquakes and slow slip events (SSEs). However, such measurements are also sensitive to oceanographic circulation-generated pressures over a range of frequencies that conflate with tectonic signals of interest. Using seafloor pressure and temperature data from the Alaska Amphibious Community Seismic Experiment, and sea surface height data from satellite altimetry, we evaluate the efficacy of various seasonal and oceanographic pressure signal proxy corrections and conduct synthetic tests to determine their impact on the timing and amplitude prediction of ramp-like signals typical of SSEs. We find that subtracting out the first mode of the complex empirical orthogonal functions of the pressure records on either the shelf or slope yields signal root-mean-square error (RMS) reductions up to 73% or 80%, respectively. Additional correction with proxies that exploit the depth-dependent spatial coherence of pressure records provides cumulative variance reductions up to 83% and 93%, respectively. Our detectability tests show that the timing and amplitude of synthetic SSE-like ramps can be well constrained for ramp amplitudes ≥4 cm on the shelf and ≥2 cm on the slope, using a fully automated detector. The principal limits on detectability are residual abrupt changes in pressure that occur as part of the transition to and from summer to winter conditions but are not adequately characterized by our seasonal corrections, as well as the inability to properly account for instrumental drift, which is not readily separated from the seasonal signal.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JB024767","usgsCitation":"Fredrickson, E., Gomberg, J.S., Wilcock, W., Hautala, S., Hermann, A., and Johnson, H.P., 2025, Slow slip detectability in seafloor pressure records offshore Alaska: Journal of Geophysical Research, v. 128, no. 2, e2022JB024767, 24 p., https://doi.org/10.1029/2022JB024767.","productDescription":"e2022JB024767, 24 p.","ipdsId":"IP-143947","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":481022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022jb024767","text":"Publisher Index Page"},{"id":480844,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -150.16349121912398,\n 58.54393007698937\n ],\n [\n -151.42167720993098,\n 59.98743881891275\n ],\n [\n -154.57208692356411,\n 59.65292298715761\n ],\n [\n -160.23909749826134,\n 56.65422767712158\n ],\n [\n -163.58127742066247,\n 55.65836547735071\n ],\n [\n -162.34836105867672,\n 53.57246789386025\n ],\n [\n -159.99664364329442,\n 53.66505587767077\n ],\n [\n -156.78037167628796,\n 53.84231267384558\n ],\n [\n -150.30294881264624,\n 55.9108113210971\n ],\n [\n -148.28571839994297,\n 57.58072409918367\n ],\n [\n -150.16349121912398,\n 58.54393007698937\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"128","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-02-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Fredrickson, Erik","contributorId":349722,"corporation":false,"usgs":false,"family":"Fredrickson","given":"Erik","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":924656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomberg, Joan S. 0000-0002-0134-2606 gomberg@usgs.gov","orcid":"https://orcid.org/0000-0002-0134-2606","contributorId":1269,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","email":"gomberg@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":924657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilcock, William","contributorId":171733,"corporation":false,"usgs":false,"family":"Wilcock","given":"William","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":924658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hautala, Susan","contributorId":194235,"corporation":false,"usgs":false,"family":"Hautala","given":"Susan","email":"","affiliations":[],"preferred":false,"id":924659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hermann, Albert","contributorId":251790,"corporation":false,"usgs":false,"family":"Hermann","given":"Albert","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":924660,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, H. Paul","contributorId":99989,"corporation":false,"usgs":false,"family":"Johnson","given":"H.","email":"","middleInitial":"Paul","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":924661,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262767,"text":"70262767 - 2025 - The effectiveness of harvest for limiting wildlife disease: Insights from 20 years of chronic wasting disease in Wyoming","interactions":[],"lastModifiedDate":"2025-01-22T16:09:44.911392","indexId":"70262767","displayToPublicDate":"2025-01-21T10:06:47","publicationYear":"2025","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":"The effectiveness of harvest for limiting wildlife disease: Insights from 20 years of chronic wasting disease in Wyoming","docAbstract":"Effective, practical options for managing disease in wildlife populations are limited, especially after diseases become established. Removal strategies (e.g., hunting or culling) are used to control wildlife diseases across a wide range of systems, despite conflicting evidence of their effectiveness. This is especially true for chronic wasting disease (CWD), an untreatable, fatal prion disease threatening cervid populations across multiple countries, for which recreational harvest has been suggested as an important disease control strategy. Using observational data to evaluate whether harvest effectively limits CWD prevalence has been difficult because statistical relationships between harvest and disease prevalence can arise from a causal effect of harvest (i.e., harvest's impacts on prevalence via changes in transmission or demographic structure) or from a number of alternative mechanisms. For instance, correlations between harvest and disease prevalence can also be driven by disease's impacts on population size and harvest (i.e., reverse causality) or from confounding variables (e.g., habitat or geographic location) that impact both harvest rates and disease prevalence. We analyzed two decades of surveillance data (2000–2021) from 10 mule deer herds in Wyoming, using statistical approaches informed by causal inference theory, to test for the effects of harvest on CWD prevalence. Herds with consistently high harvest pressure across 20 years had significantly lower prevalence. Our models predicted that harvesting 40% of adult males per year across 20 years would maintain prevalence below 5% on average, whereas if only 20% of males were harvested in each year, prevalence would increase to >30% by year 20. Moreover, shifting the relative harvest pressure within a herd over a shorter period (3 years) reduced subsequent prevalence, albeit to a smaller degree. Although high harvest is unlikely to completely eradicate CWD, our analysis suggests that maintaining hunting pressure on adult males is an important tactic for slowing CWD epidemics within mule deer herds. Our study also provides guidance for future analyses of longitudinal surveillance data, including the importance of demographic data and appropriate time lags.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.3089","usgsCitation":"Moss, W.E., Binfet, J., Hall, L., Allen, S., Edwards, W., Jennings-Gaines, J., and Cross, P.D., 2025, The effectiveness of harvest for limiting wildlife disease: Insights from 20 years of chronic wasting disease in Wyoming: Ecological Applications, v. 35, no. 1, e3089, 15 p., https://doi.org/10.1002/eap.3089.","productDescription":"e3089, 15 p.","ipdsId":"IP-164090","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":481023,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.3089","text":"Publisher Index Page"},{"id":480928,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Moss, Wynne Emily 0000-0002-2813-1710","orcid":"https://orcid.org/0000-0002-2813-1710","contributorId":338331,"corporation":false,"usgs":true,"family":"Moss","given":"Wynne","email":"","middleInitial":"Emily","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":924724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Binfet, Justin","contributorId":198650,"corporation":false,"usgs":false,"family":"Binfet","given":"Justin","email":"","affiliations":[],"preferred":false,"id":924725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hall, L. Embere","contributorId":194654,"corporation":false,"usgs":false,"family":"Hall","given":"L. Embere","affiliations":[],"preferred":false,"id":924726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Allen, Samantha E. 0000-0001-9436-2325","orcid":"https://orcid.org/0000-0001-9436-2325","contributorId":349747,"corporation":false,"usgs":false,"family":"Allen","given":"Samantha E.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":924727,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Edwards, William H.","contributorId":343407,"corporation":false,"usgs":false,"family":"Edwards","given":"William H.","affiliations":[{"id":82088,"text":"Wildlife Health Laboratory, Wyoming Game and Fish Department, 1174 Snowy Range Rd, Laramie, WY 82072, USA","active":true,"usgs":false}],"preferred":false,"id":924728,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jennings-Gaines, Jessica E. 0000-0002-1056-0680","orcid":"https://orcid.org/0000-0002-1056-0680","contributorId":349750,"corporation":false,"usgs":false,"family":"Jennings-Gaines","given":"Jessica E.","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":924729,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cross, Paul DELETE","contributorId":349753,"corporation":false,"usgs":false,"family":"Cross","given":"Paul","middleInitial":"DELETE","affiliations":[],"preferred":false,"id":924730,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70262786,"text":"70262786 - 2025 - Neonicotinoid exposure causes behavioral impairment and delayed mortality of the federally threatened American burying beetle, Nicrophorus americanus","interactions":[],"lastModifiedDate":"2025-01-22T16:05:15.870106","indexId":"70262786","displayToPublicDate":"2025-01-21T09:44:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Neonicotinoid exposure causes behavioral impairment and delayed mortality of the federally threatened American burying beetle, Nicrophorus americanus","title":"Neonicotinoid exposure causes behavioral impairment and delayed mortality of the federally threatened American burying beetle, Nicrophorus americanus","docAbstract":"Among the most immediate drivers of American burying beetle (Nicrophorus americanus Olivier) declines, nontarget toxicity to pesticides is poorly understood. Acute, episodic exposure to neonicotinoid insecticides at environmentally relevant concentrations is linked to negative impacts on beneficial terrestrial insect taxa. Beyond mortality, behavioral indicators of toxicity are often better suited to assess sublethal effects of residual concentrations in the environment. First, Nicrophorus spp. congeners were used to generate and identify a low-dose exposure rate (lethal dose 10%; LD10) from an acute, 24-hour exposure and the concentration-series was confirmed by LC–MS/MS. Next, we evaluated the effects of single and repeated low-dose (LD10 = 58.9 ng/beetle) imidacloprid exposure on N. americanus behavior (10 minutes post-dose) and mortality (10 days post-dose). Behavior parameters were analyzed using EthoVision-XT. Control N. americanus were significantly less mobile, demonstrating death-feigning, an anti-predator behavior. Single LD10 dosed N. americanus were hyperactive, traveling over 4 times farther (total distance; p = 0.03) and faster (mean velocity; p = 0.02) than controls. Single and repeated LD10 dosed N. americanus extended their wings without taking flight and flipped on their backs. All control N. americanus survived 10 days post-dose; single LD10 and repeated LD10 exhibited 30% and 50% mortality, respectively. A single LD10 exposure event was sufficient to significantly elicit greater movement and high predation risk behaviors, whereas repeated LD10 exposure did not worsen behavioral impairment but increased mortality over time. Collectively, generalized linear mixed effects models indicated that distance traveled, velocity, and extended wings were significant predictors of mortality. Recently reclassified, the federally threatened N. americanus may be at greater risk to insecticide exposure than previously thought and vulnerable to episodic, low-dose neonicotinoid exposure.
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Wyatt","contributorId":305841,"corporation":false,"usgs":false,"family":"Hoback","given":"W.","email":"","middleInitial":"Wyatt","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":924762,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70264383,"text":"70264383 - 2025 - Fatal interactions: Pneumonia in bighorn lambs following experimental exposure to carriers of Mycoplasma ovipneumoniae","interactions":[],"lastModifiedDate":"2025-03-14T15:39:53.325672","indexId":"70264383","displayToPublicDate":"2025-01-21T08:32:42","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2218,"text":"Journal of Clinical Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Fatal interactions: Pneumonia in bighorn lambs following experimental exposure to carriers of Mycoplasma ovipneumoniae","docAbstract":"We hypothesized that bighorn sheep ewes with chronic nasal Mycoplasma ovipneumoniae carriage are the source of infection that results in fatal lamb pneumonia. We tested this hypothesis in captive bighorn ewes at two study facilities over a 5-year period, by identifying carrier ewes and then comparing lamb fates in groups that did (exposed pens) or did not (non-exposed pens) include one or more carrier ewes. Most (23 of 30) lambs born in exposed pens, but none of 11 lambs born in non-exposed pens, contracted fatal pneumonia. In addition, surviving lambs in exposed pens showed obvious signs of respiratory disease while lambs in non-exposed pens did not. In crossover experiments, individual non-carrier ewes had lambs that experienced fatal pneumonia in years when housed in exposed pens, but not in years when housed in non-exposed pens. The results of these studies clearly associate lamb pneumonia to exposure to M. ovipneumoniae carrier ewes, consistent with a necessary role for this agent in epizootic pneumonia of bighorn sheep. These data specifically highlight the role of chronic M. ovipneumoniae carriage by some bighorn ewes in the epidemiology of this population-limiting wildlife disease.
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Frances","contributorId":198303,"corporation":false,"usgs":false,"family":"Cassirer","given":"E.","email":"","middleInitial":"Frances","affiliations":[],"preferred":false,"id":930599,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jenks, Jonathan A.","contributorId":264322,"corporation":false,"usgs":false,"family":"Jenks","given":"Jonathan A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":930600,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":930601,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Besser, Thomas E.","contributorId":187454,"corporation":false,"usgs":false,"family":"Besser","given":"Thomas E.","affiliations":[],"preferred":false,"id":930602,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262890,"text":"70262890 - 2025 - Hysteretic response of suspended-sediment in wildfire affected watersheds of the Pacific Northwest and Southern Rocky Mountains","interactions":[],"lastModifiedDate":"2025-01-28T15:22:32.381063","indexId":"70262890","displayToPublicDate":"2025-01-21T08:16:24","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Hysteretic response of suspended-sediment in wildfire affected watersheds of the Pacific Northwest and Southern Rocky Mountains","docAbstract":"Wildfires can have a profound impact on hydrosedimentary interactions, or the relationship between sediment and runoff, in forested headwater streams. Quantification of sediment-runoff dynamics at the event scale is integral for understanding source areas and transport of suspended-sediment through a watershed following wildfire. Here we used high-frequency turbidity and stream discharge data, coupled with discrete suspended-sediment measurements, in burned and unburned watersheds in the Southern Rocky Mountains and the western Cascades Range to evaluate the response of fine-grained (clay- and silt-sized particles) suspended-sediment. Hysteresis analysis was conducted on estimated suspended-sediment concentrations (using turbidity as a proxy) and streamflow through measurement of the difference in sediment concentration on the rising and falling limbs of the event hydrograph. All burned watersheds exhibited elevated fine suspended-sediment concentrations relative to concentrations found in pre-fire conditions. Changes to hysteretic response vary and may depend on a watershed's sediment connectivity limitations. Results suggest a watershed's inherent hillslope-to-channel (or lateral) connectivity is the primary factor controlling the relative magnitude of event-driven fine sediment fluxes in watersheds affected by wildfire. While wildfire did promote lateral connectivity through activation of hillslope sources, snowmelt, precipitation characteristics and antecedent conditions were more important drivers of hysteretic response than wildfire. For watersheds influenced by annual snowpack, we identified a predominantly clockwise hysteretic response during snowmelt and counterclockwise events during the late spring and summer months. There were also proportionally more counterclockwise events after wildfire in watersheds with high sediment connectivity. Results suggest contrasting wildfire-related sediment risk potential. Rivers in burned watersheds with high sediment connectivity may pose a higher risk to receiving waterbodies, such as larger tributaries or reservoirs, while rivers with low sediment connectivity may experience long-term sediment-related risk within the watershed above the outlet.
","language":"English","publisher":"Wiley","doi":"10.1002/esp.6067","usgsCitation":"Clark, G.D., Murphy, S.F., Skalak, K., Clow, D.W., Akie, G.A., Carpenter, K.D., Payne, S.E., and Ebel, B., 2025, Hysteretic response of suspended-sediment in wildfire affected watersheds of the Pacific Northwest and Southern Rocky Mountains: Earth Surface Processes and Landforms, v. 50, no. 1, e6067, 18 p., https://doi.org/10.1002/esp.6067.","productDescription":"e6067, 18 p.","ipdsId":"IP-166700","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":489896,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.6067","text":"Publisher Index Page"},{"id":481412,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Southern Rocky Mountains, Western Cascades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.62089822899537,\n 45.59935484641264\n ],\n [\n -122.62089822899537,\n 45.09878637622529\n ],\n [\n -121.28296466253681,\n 45.09878637622529\n ],\n [\n -121.28296466253681,\n 45.59935484641264\n ],\n [\n -122.62089822899537,\n 45.59935484641264\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Gregory D. 0000-0003-0066-8193 gmclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0066-8193","contributorId":224364,"corporation":false,"usgs":true,"family":"Clark","given":"Gregory","email":"gmclark@usgs.gov","middleInitial":"D.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":925210,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - 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Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":925217,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70262843,"text":"70262843 - 2025 - Post-fire recovery of sagebrush-steppe communities is better explained by elevation than climate-derived indicators of resistance and resilience","interactions":[],"lastModifiedDate":"2025-03-11T14:55:21.542418","indexId":"70262843","displayToPublicDate":"2025-01-20T10:52:18","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Post-fire recovery of sagebrush-steppe communities is better explained by elevation than climate-derived indicators of resistance and resilience","docAbstract":"This study assesses the impacts of five proposed restoration actions at Little Dauphin Island, a low-lying relic spit in a semi-enclosed bay system on the Alabama coast. A Delft3D model is developed to simulate annual scale (five-year) sediment transport and resulting bed level changes. The model is validated with observed water level and wave data, as well as sediment tracers that were deployed offshore of the island. An XBeach model is developed to simulate storm-driven morphologic change and is validated for hurricanes Ivan (2004), Katrina (2005)and Sally (2020). Together, the models are used to assess differences in the island's morphological response under a no-action (status quo) scenario representing a continuous island, tidal inlet realignment, a sand motor nourishment, beach and dune restoration and a dredged offshore borrow area. The no-action scenario revealed that the island breached at multiple locations including the location of the proposed inlet realignment during each storm. The realigned channel did not prevent breaching on the island, but reduced the magnitude of sand transported through the breaches. The sand motor provided some sheltering to leeward shorelines during storms but did not prevent breaching from occurring elsewhere. Fairweather waves and currents were not strong enough to transport sand outside of the vicinity of the feature to feed adjacent shorelines as intended. The beach and dune restoration reduced storm-driven overtopping along the nourished shoreline. For habitat purposes, strategically placed bayous provided low elevation points that allowed overwash depending on the direction of cross-barrier water level gradients.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.coastaleng.2025.104697","usgsCitation":"Passeri, D., Mickey, R.C., Thompson, D.M., Itzkin, M., Godsey, E., Bilskie, M.V., Seymour, A.C., Poisson, A., Ikeda, J., and Hagen, S.C., 2025, Modeling the impacts of sand placement strategies on barrier island evolution in a semi-enclosed bay system: Coastal Engineering, v. 197, 104697, 17 p., https://doi.org/10.1016/j.coastaleng.2025.104697.","productDescription":"104697, 17 p.","ipdsId":"IP-160092","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":488657,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coastaleng.2025.104697","text":"Publisher Index Page"},{"id":484063,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama","otherGeospatial":"Little Dauphin Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.13726832368842,\n 30.288724454387562\n ],\n [\n -88.13726832368842,\n 30.24248531935423\n ],\n [\n -88.07138489364338,\n 30.24248531935423\n ],\n [\n -88.07138489364338,\n 30.288724454387562\n ],\n [\n -88.13726832368842,\n 30.288724454387562\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"197","noUsgsAuthors":false,"publicationDate":"2025-01-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Passeri, Davina 0000-0002-9760-3195 dpasseri@usgs.gov","orcid":"https://orcid.org/0000-0002-9760-3195","contributorId":166889,"corporation":false,"usgs":true,"family":"Passeri","given":"Davina","email":"dpasseri@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mickey, Rangley C. 0000-0001-5989-1432 rmickey@usgs.gov","orcid":"https://orcid.org/0000-0001-5989-1432","contributorId":141016,"corporation":false,"usgs":true,"family":"Mickey","given":"Rangley","email":"rmickey@usgs.gov","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, David M. 0000-0002-7103-5740 dthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-7103-5740","contributorId":3502,"corporation":false,"usgs":true,"family":"Thompson","given":"David","email":"dthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Itzkin, Michael 0000-0003-0693-0607","orcid":"https://orcid.org/0000-0003-0693-0607","contributorId":291846,"corporation":false,"usgs":true,"family":"Itzkin","given":"Michael","email":"","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Godsey, Elizabeth 0000-0003-4621-7857","orcid":"https://orcid.org/0000-0003-4621-7857","contributorId":222094,"corporation":false,"usgs":false,"family":"Godsey","given":"Elizabeth","email":"","affiliations":[{"id":34200,"text":"Army Corp of Engineers","active":true,"usgs":false}],"preferred":false,"id":932414,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bilskie, Matthew V.","contributorId":166891,"corporation":false,"usgs":false,"family":"Bilskie","given":"Matthew","email":"","middleInitial":"V.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":932415,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Seymour, Alexander C. 0000-0002-7680-6102","orcid":"https://orcid.org/0000-0002-7680-6102","contributorId":238616,"corporation":false,"usgs":true,"family":"Seymour","given":"Alexander","email":"","middleInitial":"C.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":932416,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poisson, Autumn C.","contributorId":348082,"corporation":false,"usgs":false,"family":"Poisson","given":"Autumn C.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":932417,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ikeda, Jin","contributorId":352910,"corporation":false,"usgs":false,"family":"Ikeda","given":"Jin","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":932418,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hagen, Scott C.","contributorId":166890,"corporation":false,"usgs":false,"family":"Hagen","given":"Scott","email":"","middleInitial":"C.","affiliations":[{"id":16154,"text":"LSU","active":true,"usgs":false}],"preferred":false,"id":932419,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70262772,"text":"70262772 - 2025 - Relationship of atmospheric nitrogen deposition to soil nitrogen cycling along an elevation gradient in the Colorado Front Range","interactions":[],"lastModifiedDate":"2025-01-22T15:43:31.325907","indexId":"70262772","displayToPublicDate":"2025-01-18T09:38:02","publicationYear":"2025","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":"Relationship of atmospheric nitrogen deposition to soil nitrogen cycling along an elevation gradient in the Colorado Front Range","docAbstract":"Microbial processing of atmospheric nitrogen (N) deposition regulates the retention and mobilization of N in soils, with important implications for water quality. Understanding the links between N deposition, microbial communities, N transformations, and water quality is critical as N deposition shifts toward reduced N and remains persistently high in many regions. Here, we investigated these connections along an elevation transect in the Colorado Front Range. Although rates of N deposition and pools of extractable N increased down the elevation transect, soil microbial communities and N transformation rates did not follow clear elevational patterns. The subalpine microbial community was distinct, corresponding to a high C:N ratio and low pH, while the microbial communities at the lower elevation sites were all very similar. Net nitrification, mineralization, and nitrification potential rates were highest at the Plains (1,700 m) and Montane (2,527 m) sites, suggesting that these ecosystems mobilize N. In contrast, the net immobilization of N observed at the Foothills (1,978 m) and Subalpine (3,015 m) sites suggests that these ecosystems retain N deposition. The contrast in N transformation rates between the plains and foothills, both of which receive elevated N deposition, may be due to spatial heterogeneity not captured in this study and warrants further investigation. Stream N concentrations from the subalpine to the foothills were consistently low, indicating that these soils are currently able to process and retain N deposition, but this may be disrupted if drought, wildfire, or land-use change alter the ability of the soils to retain N.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024EF005356","usgsCitation":"Repert, D.A., Heindel, R.C., Murphy, S.F., and Jeanis, K., 2025, Relationship of atmospheric nitrogen deposition to soil nitrogen cycling along an elevation gradient in the Colorado Front Range: Earth's Future, v. 13, no. 1, e2024EF005356, 21 p., https://doi.org/10.1029/2024EF005356.","productDescription":"e2024EF005356, 21 p.","ipdsId":"IP-167721","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":481025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024ef005356","text":"Publisher Index Page"},{"id":480924,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Boulder Creek watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.21995605837795,\n 40.146352440408236\n ],\n [\n -105.66472403382133,\n 40.146352440408236\n ],\n [\n -105.66472403382133,\n 39.92869777894276\n ],\n [\n -105.21995605837795,\n 39.92869777894276\n ],\n [\n -105.21995605837795,\n 40.146352440408236\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":924733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heindel, Ruth C. 0000-0001-6292-2076","orcid":"https://orcid.org/0000-0001-6292-2076","contributorId":225133,"corporation":false,"usgs":false,"family":"Heindel","given":"Ruth","email":"","middleInitial":"C.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":924734,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":924735,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jeanis, Kaitlyn M.","contributorId":349755,"corporation":false,"usgs":false,"family":"Jeanis","given":"Kaitlyn M.","affiliations":[],"preferred":false,"id":924736,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70271950,"text":"70271950 - 2025 - Strong shaking from past Cascadia Subduction Zone earthquakes encoded in coastal landforms","interactions":[],"lastModifiedDate":"2025-09-25T14:21:23.996616","indexId":"70271950","displayToPublicDate":"2025-01-18T09:09:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Strong shaking from past Cascadia Subduction Zone earthquakes encoded in coastal landforms","docAbstract":"Strong earthquakes along subduction zones are often devastating events, but sparse records along some tectonic margins limit our understanding of seismic hazards. Constraining shaking intensities is critical, especially in subduction zones with infrequent but large-magnitude earthquakes like the Cascadia Subduction Zone (CSZ), where the lack of recorded ground motions has led to uncertainty in the severity and potential impacts of future earthquakes. Here we fill this observational gap with a novel inventory of quantitative estimates of past shaking intensities from geotechnical modeling of coastal landforms. One hundred fifty-four deep-seated landslides and 65 fragile geologic features constrain minimum and maximum peak ground accelerations, respectively. These estimates are broadly consistent with model predictions of M9 ruptures, suggesting strong shaking of 0.4–0.8 g during past CSZ earthquakes. Local discrepancies between our geologic shaking constraints and earthquake simulations may inform past rupture behavior, leading to better predictions of shaking intensity for future earthquakes.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL112417","usgsCitation":"LaHusen, S.R., Grant, A.R., Perkins, J.P., and McPhillips, D., 2025, Strong shaking from past Cascadia Subduction Zone earthquakes encoded in coastal landforms: Geophysical Research Letters, v. 52, no. 2, e2024GL112417, 11 p., https://doi.org/10.1029/2024GL112417.","productDescription":"e2024GL112417, 11 p.","ipdsId":"IP-161618","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":496164,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl112417","text":"Publisher Index Page"},{"id":496078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","otherGeospatial":"Cascadia Subduction Zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -126,\n 49\n ],\n [\n -126,\n 42\n ],\n [\n -122,\n 42\n ],\n [\n -122,\n 49\n ],\n [\n -126,\n 49\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"52","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"LaHusen, Sean Richard 0000-0003-4246-4439","orcid":"https://orcid.org/0000-0003-4246-4439","contributorId":294677,"corporation":false,"usgs":true,"family":"LaHusen","given":"Sean","email":"","middleInitial":"Richard","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":949471,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grant, Alex R. 0000-0002-5096-4305","orcid":"https://orcid.org/0000-0002-5096-4305","contributorId":219066,"corporation":false,"usgs":true,"family":"Grant","given":"Alex","middleInitial":"R.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949472,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perkins, Jonathan P. 0000-0002-6113-338X","orcid":"https://orcid.org/0000-0002-6113-338X","contributorId":237053,"corporation":false,"usgs":true,"family":"Perkins","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":949473,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McPhillips, Devin 0000-0003-1987-9249","orcid":"https://orcid.org/0000-0003-1987-9249","contributorId":217362,"corporation":false,"usgs":true,"family":"McPhillips","given":"Devin","email":"","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":949474,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262899,"text":"70262899 - 2025 - Sulfur-to-iron ratio as a proxy for degree of organic sulfurization","interactions":[],"lastModifiedDate":"2025-01-28T15:15:40.80895","indexId":"70262899","displayToPublicDate":"2025-01-18T09:03:47","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1757,"text":"Geochemistry, Geophysics, Geosystems","active":true,"publicationSubtype":{"id":10}},"title":"Sulfur-to-iron ratio as a proxy for degree of organic sulfurization","docAbstract":"The degree of organic sulfurization is broadly relevant yet underreported. We present a statistically significant correlation between whole rock S/Fe and the measured degree of organic sulfurization in the thermally immature Cenomanian–Turonian Eagle Ford Group. This relationship shows a sink switch for sulfur from pyrite to organic matter. Excess iron and excess sulfur relative to pyrite, which are mathematically related to S/Fe, provide better insights into organic sulfurization than previous approaches that calculate excess iron relative to detrital iron based on aluminum concentrations. Organic sulfurization and S/Fe are tightly coupled in the Eagle Ford partially due to limited sulfur- and iron-bearing components. Similar relationships could exist in other thermally immature, organic-rich, anoxia-prone, calcareous mudstones. The degree of organic sulfurization was estimated from S/Fe, which was used to map stratigraphic and regional variations of organic sulfurization across the Eagle Ford and to investigate how organic sulfurization relates to organic enrichment, organic preservation, and depositional redox chemistry. The extent of organic sulfurization is more tightly linked to organic preservation than enrichment. Together, organic sulfurization and Mo provide concordant evidence for depositional euxinia. The relationship between Mo and degree of organic sulfurization could indicate that sulfurized organic matter provides a pathway for Mo enrichment, but future work needs to disentangle direct mechanisms from indirect covariations between Mo, organic content, and degree of organic sulfurization. Whole rock elemental chemistry and programmed pyrolysis provide insights into organic sulfurization variations that can be upscaled and can guide subsequent detailed organic sulfur analyses.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GC011936","usgsCitation":"French, K.L., and Birdwell, J.E., 2025, Sulfur-to-iron ratio as a proxy for degree of organic sulfurization: Geochemistry, Geophysics, Geosystems, v. 26, no. 1, e2024GC011936, 23 p., https://doi.org/10.1029/2024GC011936.","productDescription":"e2024GC011936, 23 p.","ipdsId":"IP-170967","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":489895,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gc011936","text":"Publisher Index Page"},{"id":481410,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Arkansas, Louisiana, Oklahoma, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -105.48861088630609,\n 34.91522244172788\n ],\n [\n -102.65318338666059,\n 25.80856319881252\n ],\n [\n -87.36067137979397,\n 26.861326503989844\n ],\n [\n -90.28636907153204,\n 36.30648659504253\n ],\n [\n -105.48861088630609,\n 34.91522244172788\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"French, Katherine L. 0000-0002-0153-8035","orcid":"https://orcid.org/0000-0002-0153-8035","contributorId":205462,"corporation":false,"usgs":true,"family":"French","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":false,"id":925228,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":925229,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70262229,"text":"fs20253001 - 2025 - Annual NLCD (National Land Cover Database)—The next generation of land cover mapping","interactions":[],"lastModifiedDate":"2025-07-21T17:48:40.347631","indexId":"fs20253001","displayToPublicDate":"2025-01-17T19:30:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3001","displayTitle":"Annual NLCD (National Land Cover Database)—The Next Generation of Land Cover Mapping","title":"Annual NLCD (National Land Cover Database)—The next generation of land cover mapping","docAbstract":"The widely used National Land Cover Database (NLCD) has long been the foundational land cover source for scientists, resource managers, and decision makers across the United States.
In 2024, a reinvention as Annual NLCD added the key improvement of annual time steps to show decades of change at a higher frequency than the intervals of 2–3 years used in the legacy NLCD. Annual NLCD was derived primarily from the long Landsat satellite data record, and it includes data from other sources.
The first release in 2024 of Annual NLCD provides Collection 1.0 of products encompassing land cover and land change from 1985 through 2023 for the conterminous United States (CONUS). The Annual NLCD Collection 1.0 consists of six operational products that map the unique characteristics of land cover. A map created from Annual NLCD shows 16 land cover classes for the CONUS in 2023.
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U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198
Email: custserv@usgs.gov
","tableOfContents":"This is the second volume in the U.S. Geological Survey (USGS) series of reports on stratigraphy entitled “Stratigraphic Notes,” which consists of short papers that highlight stratigraphic studies, changes in stratigraphic nomenclature, and explanations of stratigraphic names and concepts used on published geologic maps. “Stratigraphic Notes” is a long-term (multiyear), multivolume publication containing articles that address updates or revisions to stratigraphic nomenclature (and whose content ultimately will be incorporated by National Geologic Map Database personnel into Geolex, https://ngmdb.usgs.gov/Geolex/).
We welcome papers for the “Stratigraphic Notes” series from geoscientists of the USGS, of State Geological Surveys, and from academicians. Papers can be submitted for publication in “Stratigraphic Notes” by contacting the USGS Geologic Names Committee (gnc@usgs.gov). As new “Stratigraphic Notes” volumes are published, links to the volumes will be posted at https://doi.org/10.3133/pp1879.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1879V2","usgsCitation":"Orndorff, R.C., Stamm, N.R., and Soller, D.R., eds., 2025, Stratigraphic notes—Volume 2, 2025: U.S. Geological Survey Professional Paper 1879–2, 28 p., https://doi.org/10.3133/pp1879v2.","productDescription":"Chapter A: v, 28 p.; Chapter B: v, 10; Chapter C: v, 13 p.; Data Release","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-146700","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":64806,"text":"National Cooperative Geologic Mapping","active":true,"usgs":true}],"links":[{"id":480775,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13XMUGW","text":"USGS Data Release","description":"Powell, N.E., Carter, M.W., McAleer, R.J., Holm-Denoma, C.S., Occhi, M.E., Owens, B.E., and Vazquez, J.A., 2024, Major and trace element geochemical data for the Petersburg Granite (sensu stricto), Pocoshock Creek Gneiss, and related Appalachian igneous rocks: U.S. Geological Survey data release, https://doi.org/10.5066/P13XMUGW.","linkHelpText":"Major and trace element geochemical data for the Petersburg Granite (sensu stricto), Pocoshock Creek Gneiss, and related Appalachian igneous rocks"},{"id":480768,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/pp1879V1","text":"Professional Paper 1879-1","description":"Orndorff, R.C., Stamm, N.R., and Soller, D.R., eds., 2023, Stratigraphic notes—Volume 1, 2022: U.S. Geological Survey Professional Paper 1879–1, 38 p., https://doi.org/10.3133/pp1879V1.","linkHelpText":"- Stratigraphic Notes—Volume 1, 2022"},{"id":480771,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/pp1879","text":"Professional Paper 1879","description":"Orndorff, R.C., Stamm, N.R., and Soller, D.R., eds., 2023, Stratigraphic notes: U.S. Geological Survey Professional Paper 1879, https://doi.org/10.3133/pp1879.","linkHelpText":"- This publication is Volume 2 in Stratigraphic Notes"},{"id":465841,"rank":3,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1879/v2/pp1879-2b.pdf","text":"Chapter B. The National Park Service Stratotype Inventory","size":"8.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Henderson, T.C., Santucci, V.L., Tweet, J.S., Connors. T., Stamm, N.R., Orndorff, R.C., Soller, D.R., and Scheland, C., 2025, The National Park Service stratotype inventory, chap. B of Orndorff, R.C., Stamm, N.R., and Soller, D.R., eds., Stratigraphic Notes— Volume 2, 2025: U.S. Geological Survey Professional Paper 1879–2, 10 p., https://doi.org/10.3133/pp1879v2."},{"id":465158,"rank":2,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1879/v2/pp1879v2a.pdf","text":"Chapter A. Pocoshock Creek Gneiss and Redefinition of the Petersburg Granite, Central-Eastern Piedmont of Virginia","size":"14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Carter, M.W., McAleer, R.J., Holm-Denoma, C.S., Vazquez, J.A., Occhi, M.E., and Owens, B.E., 2024, Pocoshock Creek Gneiss and redefinition of the Petersburg Granite, central-eastern piedmont of Virginia, chap. A. of Orndorff, R.C., Stamm, N.R., and Soller, D.R. eds., Stratigraphic notes—Volume 2, 2024: U.S. Geological Survey Professional Paper, 1879–2, 28 p., https://doi.org/10.3133/pp1879v2."},{"id":492654,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118315.htm","linkFileType":{"id":5,"text":"html"}},{"id":481995,"rank":8,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/pp/1879/v2/ChapA_versionHist.txt","text":"Chapter A","size":"5 KB","linkFileType":{"id":2,"text":"txt"}},{"id":484922,"rank":4,"type":{"id":6,"text":"Chapter"},"url":"https://pubs.usgs.gov/pp/1879/v2/pp1879-2c.pdf","text":"Chapter C. Mill Springs Limestone Submember (New) of the Point Peak Member, Wilberns Formation, Moore Hollow Group, Texas","size":"13.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Hunt, B.B., Droxler, A.W., Lehrmann, D.J., and Khanna, P., 2025, Mill Springs Limestone Submember (new) of the Point Peak Member, Wilberns Formation, Moore Hollow Group, Texas, chap. C of Orndorff, R.C., Stamm, N.R., and Soller, D.R., eds., Stratigraphic Notes—Volume 2, 2025: U.S. Geological Survey Professional Paper 1879–2, 13 p., https://doi.org/10.3133/pp1879v2."},{"id":465155,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1879/v2/covrthb.jpg"}],"volume":"2","edition":"Chapter A: Version 1.0: January 17, 2025; Version 1.1: February 12, 2025","contact":"National Cooperative Geologic Mapping Program
U.S. Geological Survey
12201 Sunrise Valley Drive Mail Stop 908
Reston, VA 20192
Earthquakes are a rapid-onset hazard where advance planning and learning plays a key role in mitigating injuries and death to individuals. Recent advances in earthquake detection have resulted in the development of earthquake early warning (EEW) systems. These systems can provide advance warning to predetermined geographic regions that an earthquake is in progress, which may result in individuals receiving warning seconds before significant shaking is felt at their location. This additional time could allow individuals to take more effective protective actions during the immediate disaster. To demonstrate this, we created an agent-based simulation of a basic apartment that allowed us to randomly and repeatedly simulate an individual receiving and responding to an EEW message. The results of our preliminary simulation show that, in our study environment, earthquake early warning alerts have the potential to allow for sufficient time for individuals to take protective actions.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.heliyon.2025.e42060","usgsCitation":"Wood, M., McBride, S., Zhao, X., Baldwin, D., Cochran, E.S., Zhang, X., Luco, N., Lovreglio, R., and Cova, T., 2025, Simulating human behavior under earthquake early warning: Heliyon, v. 11, no. 3, e42060, 11 p., https://doi.org/10.1016/j.heliyon.2025.e42060.","productDescription":"e42060, 11 p.","ipdsId":"IP-151684","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":486988,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.heliyon.2025.e42060","text":"Publisher Index Page"},{"id":481813,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Seattle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.41244714041216,\n 47.724757713559114\n ],\n [\n -122.41244714041216,\n 47.53367983491347\n ],\n [\n -122.22953005178704,\n 47.53367983491347\n ],\n [\n -122.22953005178704,\n 47.724757713559114\n ],\n [\n -122.41244714041216,\n 47.724757713559114\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Matthew","contributorId":342944,"corporation":false,"usgs":false,"family":"Wood","given":"Matthew","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":926736,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McBride, Sara K. 0000-0002-8062-6542","orcid":"https://orcid.org/0000-0002-8062-6542","contributorId":206933,"corporation":false,"usgs":true,"family":"McBride","given":"Sara K.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":926737,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhao, Xilei","contributorId":342942,"corporation":false,"usgs":false,"family":"Zhao","given":"Xilei","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":926738,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baldwin, Dare","contributorId":269660,"corporation":false,"usgs":false,"family":"Baldwin","given":"Dare","email":"","affiliations":[],"preferred":false,"id":926739,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cochran, Elizabeth S. 0000-0003-2485-4484 ecochran@usgs.gov","orcid":"https://orcid.org/0000-0003-2485-4484","contributorId":2025,"corporation":false,"usgs":true,"family":"Cochran","given":"Elizabeth","email":"ecochran@usgs.gov","middleInitial":"S.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":926740,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zhang, Xiaojian","contributorId":214967,"corporation":false,"usgs":false,"family":"Zhang","given":"Xiaojian","email":"","affiliations":[{"id":39141,"text":"Department of Basic Science, College of Veterinary Medicine, Mississippi State University, 9 Mississippi, United States;","active":true,"usgs":false}],"preferred":false,"id":926741,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Luco, Nico 0000-0002-5763-9847 nluco@usgs.gov","orcid":"https://orcid.org/0000-0002-5763-9847","contributorId":145730,"corporation":false,"usgs":true,"family":"Luco","given":"Nico","email":"nluco@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":926742,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lovreglio, Ruggiero","contributorId":350709,"corporation":false,"usgs":false,"family":"Lovreglio","given":"Ruggiero","affiliations":[{"id":13571,"text":"Massey University","active":true,"usgs":false}],"preferred":false,"id":926743,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Cova, Tom","contributorId":350710,"corporation":false,"usgs":false,"family":"Cova","given":"Tom","affiliations":[{"id":38905,"text":"Univ. Utah","active":true,"usgs":false}],"preferred":false,"id":926744,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70263387,"text":"70263387 - 2025 - Population genomics reveals local adaptation related to temperature variation in two stream frog species: Implications for vulnerability to climate warming","interactions":[],"lastModifiedDate":"2025-12-15T16:18:04.791197","indexId":"70263387","displayToPublicDate":"2025-01-17T13:17:16","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2774,"text":"Molecular Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Population genomics reveals local adaptation related to temperature variation in two stream frog species: Implications for vulnerability to climate warming","docAbstract":"Identifying populations at highest risk from climate change is a critical component of conservation efforts. However, vulnerability assessments are usually applied at the species level, even though intraspecific variation in exposure, sensitivity and adaptive capacity play a crucial role in determining vulnerability. Genomic data can inform intraspecific vulnerability by identifying signatures of local adaptation that reflect population-level variation in sensitivity and adaptive capacity. Here, we address the question of local adaptation to temperature and the genetic basis of thermal tolerance in two stream frogs (Ascaphus truei and A. montanus). Building on previous physiological and temperature data, we used whole-genome resequencing of tadpoles from four sites spanning temperature gradients in each species to test for signatures of local adaptation. To support these analyses, we developed the first annotated reference genome for A. truei. We then expanded the geographic scope of our analysis using targeted capture at an additional 11 sites per species. We found evidence of local adaptation to temperature based on physiological and genomic data in A. montanus and genomic data in A. truei, suggesting similar levels of sensitivity (i.e., susceptibility) among populations regardless of stream temperature. However, invariant thermal tolerances across temperatures in A. truei suggest that populations occupying warmer streams may be most sensitive. We identified high levels of evolutionary potential in both species based on genomic and physiological data. While further integration of these data is needed to comprehensively evaluate spatial variation in vulnerability, this work illustrates the value of genomics in identifying spatial patterns of climate change vulnerability.
","language":"English","publisher":"Wiley","doi":"10.1111/mec.17651","usgsCitation":"Forester, B.R., Cicchino, A.S., Shah, A.A., Mudd, A., Anderson, E.C., Bredeson, J., Crawford, A., Dunham, J., Ghalambor, C.K., Landguth, E., Murray, B., Rokhsar, D., and Funk, W., 2025, Population genomics reveals local adaptation related to temperature variation in two stream frog species: Implications for vulnerability to climate warming: Molecular Ecology, v. 34, no. 23, e17651, 18 p., https://doi.org/10.1111/mec.17651.","productDescription":"e17651, 18 p.","ipdsId":"IP-168460","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":497690,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":481812,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Oregon, 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Center","active":false,"usgs":true}],"preferred":true,"id":926754,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ghalambor, Cameron K.","contributorId":93722,"corporation":false,"usgs":false,"family":"Ghalambor","given":"Cameron","email":"","middleInitial":"K.","affiliations":[{"id":6998,"text":"Department of Biology, Colorado State University","active":true,"usgs":false}],"preferred":false,"id":926755,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Landguth, Erin L.","contributorId":126719,"corporation":false,"usgs":false,"family":"Landguth","given":"Erin L.","affiliations":[{"id":6577,"text":"University of Montana, Division of Biological Sciences, Missoula, MT, 59812, USA.","active":true,"usgs":false}],"preferred":false,"id":926756,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Murray, Brent W.","contributorId":350714,"corporation":false,"usgs":false,"family":"Murray","given":"Brent W.","affiliations":[{"id":49840,"text":"University of Northern British Columbia","active":true,"usgs":false}],"preferred":false,"id":926757,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Rokhsar, Daniel","contributorId":350715,"corporation":false,"usgs":false,"family":"Rokhsar","given":"Daniel","affiliations":[{"id":36942,"text":"University of California, Berkeley","active":true,"usgs":false}],"preferred":false,"id":926758,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Funk, W. Chris 0000-0002-9254-6718","orcid":"https://orcid.org/0000-0002-9254-6718","contributorId":189580,"corporation":false,"usgs":false,"family":"Funk","given":"W. Chris","affiliations":[],"preferred":false,"id":926759,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70263374,"text":"70263374 - 2025 - Evidence for nonlocal sediment transport on hillslopes from fault scarp morphology","interactions":[],"lastModifiedDate":"2025-04-17T15:29:01.114843","indexId":"70263374","displayToPublicDate":"2025-01-17T11:51:28","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for nonlocal sediment transport on hillslopes from fault scarp morphology","docAbstract":"Hillslope sediment transport processes such as bioturbation, rainsplash, and granular mechanics occur across the entire planet. Yet, it remains uncertain how these small-scale processes act together to shape landscapes. Longstanding hillslope diffusion theory posits that hillslope processes are spatially limited, whereas new concepts of nonlocal sediment transport argue otherwise. However, each theory produces subtly different, but distinct, predictions for the evolution of fault scarps. We use the topographic change of fault scarps to demonstrate that hillslope processes produce nonlocal sediment transport. Analysis of a global compilation of 340 dated single-earthquake scarp profiles reveals a statistically significant (p < 0.05) relationship between scarp age and scarp asymmetry, here defined as the ratio of imaginary to real components of the Fourier transform of absolute slope. Numerical simulations show that nonlocal models predict this relationship, whereas hillslope diffusion models do not. To further investigate this result, we examined the depositional geometry of a well-exposed colluvial wedge along the Wasatch fault in central Utah, United States. Our quantitative comparison between the exposure and numerical simulations reveals better agreement with the nonlocal model. Nonlocal sediment transport theory appears to best capture the physics of how hillslope processes shape fault scarps, yet hillslope diffusion provides a useful approximation in many cases. As the processes that act on fault scarps are nearly identical to those acting on hillslopes, our results provide evidence supporting nonlocality as a generalized model of hillslope sediment transport.
","language":"English","publisher":"GeoScienceWorld","doi":"10.1130/G52987.1","usgsCitation":"Gray, H., Doane, T., Nicovich, S.R., DuRoss, C., and Gold, R.D., 2025, Evidence for nonlocal sediment transport on hillslopes from fault scarp morphology: Geology, v. 53, no. 4, p. 323-327, https://doi.org/10.1130/G52987.1.","productDescription":"5 p.","startPage":"323","endPage":"327","ipdsId":"IP-157983","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":481815,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"53","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Gray, Harrison J. 0000-0002-4555-7473","orcid":"https://orcid.org/0000-0002-4555-7473","contributorId":207019,"corporation":false,"usgs":true,"family":"Gray","given":"Harrison J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":926684,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doane, Tyler","contributorId":350701,"corporation":false,"usgs":false,"family":"Doane","given":"Tyler","affiliations":[{"id":83812,"text":"University of Indiana Bloomington","active":true,"usgs":false}],"preferred":false,"id":926685,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicovich, Sylvia R. 0000-0003-4280-4034","orcid":"https://orcid.org/0000-0003-4280-4034","contributorId":341909,"corporation":false,"usgs":true,"family":"Nicovich","given":"Sylvia","email":"","middleInitial":"R.","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":926686,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"DuRoss, Christopher 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":926687,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gold, Ryan D. 0000-0002-4464-6394 rgold@usgs.gov","orcid":"https://orcid.org/0000-0002-4464-6394","contributorId":3883,"corporation":false,"usgs":true,"family":"Gold","given":"Ryan","email":"rgold@usgs.gov","middleInitial":"D.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":926688,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262530,"text":"70262530 - 2025 - Considering multiecosystem trade-offs is critical when leveraging systematic conservation planning for restoration","interactions":[],"lastModifiedDate":"2025-01-21T16:50:31.327281","indexId":"70262530","displayToPublicDate":"2025-01-17T10:47:33","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Considering multiecosystem trade-offs is critical when leveraging systematic conservation planning for restoration","docAbstract":"Conservationists are increasingly leveraging systematic conservation planning (SCP) to inform restoration actions that enhance biodiversity. However, restoration frequently drives ecological transformations at local scales, potentially resulting in trade-offs among wildlife species and communities. The Conservation Interactions Principle (CIP), coined more than 15 years ago, cautions SCP practitioners regarding the importance of jointly and fully evaluating conservation outcomes across the landscape over long timeframes. However, SCP efforts that guide landscape restoration have inadequately addressed the CIP by failing to tabulate the full value of the current ecological state. The increased application of SCP to inform restoration, reliance on increasingly small areas to sustain at-risk species and ecological communities, ineffective considerations for the changing climate, and increasing numbers of at-risk species, are collectively intensifying the need to consider unintended consequences when prioritizing sites for restoration. Improper incorporation of the CIP in SCP may result in inefficient use of conservation resources through opportunity costs and/or conservation actions that counteract one another. We suggest SCP practitioners can avoid these consequences through a more detailed accounting of the current ecological benefits to better address the CIP when conducting restoration planning. Specifically, forming interdisciplinary teams with expertise in the current and desired ecosystem states at candidate conservation sites; improving data availability; modeling and computational advancements; and applying structured decision-making approaches can all improve the integration of the CIP in SCP efforts. Improved trade-off assessment, spanning multiple ecosystems or states, can facilitate efficient, proactive, and coordinated SCP applications across space and time. In doing so, SCP can effectively guide the siting of restoration actions capable of promoting the full suite of biodiversity in a region.
","language":"English","publisher":"Wiley","doi":"10.1111/gcb.70020","usgsCitation":"Van Lanen, N.J., Duchardt, C., Pejchar, L., Shyvers, J., and Aldridge, C.L., 2025, Considering multiecosystem trade-offs is critical when leveraging systematic conservation planning for restoration: Global Change Biology, v. 31, no. 1, e70020, 8 p., https://doi.org/10.1111/gcb.70020.","productDescription":"e70020, 8 p.","ipdsId":"IP-164188","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":481026,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.70020","text":"Publisher Index Page"},{"id":480835,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"31","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"authors":[{"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":924473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duchardt, C.J.","contributorId":349573,"corporation":false,"usgs":false,"family":"Duchardt","given":"C.J.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":924474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pejchar, L.","contributorId":349574,"corporation":false,"usgs":false,"family":"Pejchar","given":"L.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":924475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shyvers, J.E.","contributorId":349575,"corporation":false,"usgs":false,"family":"Shyvers","given":"J.E.","affiliations":[{"id":7041,"text":"The Nature Conservancy","active":true,"usgs":false}],"preferred":false,"id":924476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":924477,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70264830,"text":"70264830 - 2025 - Timing of and pressure-temperature constraints on deformation in the Toxaway dome, eastern Blue Ridge: Evidence for continuous deformation from the Neoacadian orogeny to the Alleghanian orogeny","interactions":[],"lastModifiedDate":"2025-03-26T15:44:33.595629","indexId":"70264830","displayToPublicDate":"2025-01-17T10:31:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Timing of and pressure-temperature constraints on deformation in the Toxaway dome, eastern Blue Ridge: Evidence for continuous deformation from the Neoacadian orogeny to the Alleghanian orogeny","docAbstract":"Many mountain belts are built through repeated collision, and in the case of orogenies closely spaced in time, determining when one orogeny ends and another begins can be challenging. The southern Appalachian mountains were formed by three mountain-building events closely spaced in time, including the Taconic (ca. 480–440 Ma), Neoacadian (ca. 375–340 Ma), and Alleghanian (ca. 330–265 Ma) orogenies. Notably, the end of the Neoacadian and the beginning of the Alleghanian are only separated by ~10 m.y., and some published dates record deformation and metamorphism in the eastern Blue Ridge during this interval, blurring the boundary between these two discrete events.
The Toxaway dome, located along the North Carolina–South Carolina, USA, border at the eastern edge of the eastern Blue Ridge, is a structural dome cored by Mesoproterozoic Toxaway Gneiss and surrounded by the younger Tallulah Falls Formation. Previous ages constraints from the Toxaway dome (343 and 338 Ma U-Pb zircon ages) make it an ideal location to explore whether there was continuous deformation during this period of supposed quiescence between the Neoacadian and Alleghanian orogenies. We used optical microscopy and electron backscatter diffraction in quartz to determine deformation temperatures, thermobarometry to determine metamorphic pressure-temperature conditions, and monazite petrochronology to determine the timing of deformation. Quartz and feldspar recrystallization fabrics parallel to dome-defining fabrics indicate deformation occurred at amphibolite-facies conditions, which is corroborated by our pressure-temperature estimates of 0.67–0.8 ± 0.12 GPa and 661–689 ± 25 °C. Monazite grains that record the timing of reactions of garnet growth and breakdown range from 342 ± 4.8 Ma to 296 ± 10.8 Ma, bridging the interval between the Neoacadian and Alleghanian orogenies. Three samples from the nearby Tallulah Falls dome, which occupies a similar structural position along the edge of the eastern Blue Ridge in Georgia, record monazite dates of 334 ± 4.2 Ma to 304 ± 4.8 Ma, indicating there was tectonic activity in this region before the commonly defined beginning of the Alleghanian orogeny. We propose (1) there was no period of quiescence between the Neoacadian and Alleghanian orogenies in the eastern Blue Ridge, and (2) deformation during this time was at higher temperatures and pressures than previously reported.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02802.1","usgsCitation":"Levine, J., Powell, N.E., Casale, G., and Martin, C., 2025, Timing of and pressure-temperature constraints on deformation in the Toxaway dome, eastern Blue Ridge: Evidence for continuous deformation from the Neoacadian orogeny to the Alleghanian orogeny: Geosphere, v. 21, no. 2, p. 179-205, https://doi.org/10.1130/GES02802.1.","productDescription":"27 p.","startPage":"179","endPage":"205","ipdsId":"IP-166597","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":488667,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02802.1","text":"Publisher Index Page"},{"id":483881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Georgia, North Carolina, South Carolina","otherGeospatial":"Tallulah Fault Dome, Toxaway Dome","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.12768324273705,\n 36.09919315340798\n ],\n [\n -84.53940674334677,\n 36.09919315340798\n ],\n [\n -84.53940674334677,\n 33.93940700100836\n ],\n [\n -82.12768324273705,\n 33.93940700100836\n ],\n [\n -82.12768324273705,\n 36.09919315340798\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"21","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Levine, Jamie S.F. 0000-0003-4100-6428","orcid":"https://orcid.org/0000-0003-4100-6428","contributorId":352688,"corporation":false,"usgs":false,"family":"Levine","given":"Jamie S.F.","affiliations":[{"id":36626,"text":"Appalachian State University","active":true,"usgs":false}],"preferred":false,"id":932007,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Powell, Nicholas Edwin 0000-0003-3654-8759","orcid":"https://orcid.org/0000-0003-3654-8759","contributorId":304622,"corporation":false,"usgs":true,"family":"Powell","given":"Nicholas","email":"","middleInitial":"Edwin","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":932008,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Casale, Gabriele 0000-0003-1371-753X","orcid":"https://orcid.org/0000-0003-1371-753X","contributorId":192726,"corporation":false,"usgs":false,"family":"Casale","given":"Gabriele","email":"","affiliations":[{"id":27675,"text":"Appalachian State University, Boone, NC","active":true,"usgs":false}],"preferred":false,"id":932009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Claire P. 0000-0001-8813-5070","orcid":"https://orcid.org/0000-0001-8813-5070","contributorId":352689,"corporation":false,"usgs":false,"family":"Martin","given":"Claire P.","affiliations":[{"id":84283,"text":"StraboSpot, Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":932010,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262522,"text":"70262522 - 2025 - From subsidies to stressors: Shifting ecological baselines alter biological responses to nutrients in highly modified agricultural streams","interactions":[],"lastModifiedDate":"2025-01-22T14:45:54.773366","indexId":"70262522","displayToPublicDate":"2025-01-17T09:57:09","publicationYear":"2025","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":"From subsidies to stressors: Shifting ecological baselines alter biological responses to nutrients in highly modified agricultural streams","docAbstract":"Subsidy–stress gradients offer a useful framework for understanding ecological responses to perturbation and may help inform ecological metrics in highly modified systems. Historic, region-wide shifts from bottomland hardwood forest to row crop agriculture can cause positively skewed impact gradients in alluvial plain ecoregions, resulting in tolerant organisms that typically exhibit a subsidy response (increased abundance in response to environmental stressors) shifting to a stress response (declining abundance at higher concentrations). As a result, observed biological tolerance in modified ecosystems may differ from less modified regions, creating significant challenges for detecting biological responses to restoration efforts. Using the agriculturally dominated Mississippi Alluvial Plain (MAP) ecoregion in Mississippi, USA, as a case study, we tested the hypothesis that macroinvertebrate taxa that typically display a subsidy response to nutrient enrichment in less modified ecoregions (i.e., nutrient-tolerance) shift to a stress response to increasing nutrients in highly modified watersheds with elevated baseline nutrient conditions (i.e., nutrient intolerance). The abundance and diversity of MAP-specific intolerant taxa identified with threshold indicator taxa analysis were either unresponsive or exhibited a subsidy response to increasing nutrients in less modified ecoregions in Mississippi with less land alteration and lower nutrient concentrations, but declined at higher concentrations, providing evidence for a stress response to elevated nutrients in the MAP. Additionally, MAP-specific tolerant and intolerant taxa richness responded to increased nutrients predictably and consistently across space and time within the MAP. However, in MAP streams, elevated specific conductance was predicted to dampen the response of tolerant and intolerant taxa richness to increasing nutrient concentrations, highlighting the importance of considering multistressor interactions when interpreting biological data. Lastly, we demonstrate the efficacy of this approach with sediment bacterial communities characterized with amplicon sequencing, which lack sufficient life history characteristics necessary for the development of multimetric indices. Both macroinvertebrate and bacterial communities responded similarly to increasing nutrient concentrations, suggesting DNA-based approaches may provide an efficient biological assessment tool for monitoring water quality improvements in highly modified watersheds.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/eap.3086","usgsCitation":"Devilbiss, S., Taylor, J., and Hicks, M.B., 2025, From subsidies to stressors: Shifting ecological baselines alter biological responses to nutrients in highly modified agricultural streams: Ecological Applications, v. 35, no. 1, e3086, 21 p., https://doi.org/10.1002/eap.3086.","productDescription":"e3086, 21 p.","ipdsId":"IP-159539","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":481027,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.3086","text":"Publisher Index Page"},{"id":480830,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"35","issue":"1","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Devilbiss, Stephen Edward 0000-0002-3512-2505","orcid":"https://orcid.org/0000-0002-3512-2505","contributorId":343984,"corporation":false,"usgs":true,"family":"Devilbiss","given":"Stephen Edward","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924442,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Jason M. 0000-0001-9240-2151","orcid":"https://orcid.org/0000-0001-9240-2151","contributorId":343985,"corporation":false,"usgs":false,"family":"Taylor","given":"Jason M.","affiliations":[{"id":6758,"text":"USDA-ARS","active":true,"usgs":false}],"preferred":false,"id":924443,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hicks, Matthew B. 0000-0001-5516-0296 mhicks@usgs.gov","orcid":"https://orcid.org/0000-0001-5516-0296","contributorId":3778,"corporation":false,"usgs":true,"family":"Hicks","given":"Matthew","email":"mhicks@usgs.gov","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":924444,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70264116,"text":"70264116 - 2025 - New 40Ar/39Ar eruption ages reveal an important temporal relationship between mafic and silicic volcanism in the Yellowstone Plateau volcanic field","interactions":[],"lastModifiedDate":"2025-04-17T15:34:45.630531","indexId":"70264116","displayToPublicDate":"2025-01-17T09:50:38","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"New 40Ar/39Ar eruption ages reveal an important temporal relationship between mafic and silicic volcanism in the Yellowstone Plateau volcanic field","title":"New 40Ar/39Ar eruption ages reveal an important temporal relationship between mafic and silicic volcanism in the Yellowstone Plateau volcanic field","docAbstract":"The chronology of mafic eruptions and their temporal relation to rhyolitic volcanism in the Yellowstone Plateau volcanic field are poorly known, thereby limiting our understanding of the way(s) in which mafic magmatism drives rhyolitic activity. To address this, we measured 40Ar/39Ar eruption ages on 13 mafic samples collected from Henrys Fork Caldera (eastern Idaho, western United States), which represents a region of known volcanic activity immediately west of Yellowstone caldera for which the relationship to Yellowstone volcano’s most recent caldera-forming cycle remains unclear. Our new ages indicate that mafic activity was occurring throughout the Henrys Fork Caldera both leading up to and following the emplacement of the Lava Creek Tuff. Furthermore, these ages reveal that mafic volcanism in the Henrys Fork Caldera region occurred concurrently with second- and third-cycle rhyolite volcanism in and around Yellowstone caldera. Our new ages therefore provide unique and definitive evidence that the mafic magmatism of Henrys Fork Caldera played a critical role in the development of shallow-crustal rhyolitic magma chambers that ultimately fueled the large caldera-forming eruptions within the Yellowstone volcanic system.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/G52709.1","usgsCitation":"Messa, C., Sims, K., Stelten, M.E., Lawler, B., and Kuntz, M., 2025, New 40Ar/39Ar eruption ages reveal an important temporal relationship between mafic and silicic volcanism in the Yellowstone Plateau volcanic field: Geology, v. 53, no. 4, p. 317-322, https://doi.org/10.1130/G52709.1.","productDescription":"6 p.","startPage":"317","endPage":"322","ipdsId":"IP-165883","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":482974,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Henry's Fork Caldera","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.1667,\n 44.5\n ],\n [\n -111.8333,\n 44.5\n ],\n [\n -111.8333,\n 44 \n ],\n [\n -111.1667,\n 44\n ],\n [\n -111.1667,\n 44.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"53","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-01-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Messa, Cole","contributorId":351999,"corporation":false,"usgs":false,"family":"Messa","given":"Cole","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":929874,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sims, Kenneth 0000-0001-6179-6610","orcid":"https://orcid.org/0000-0001-6179-6610","contributorId":352001,"corporation":false,"usgs":false,"family":"Sims","given":"Kenneth","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":929875,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelten, Mark E. 0000-0002-5294-3161 mstelten@usgs.gov","orcid":"https://orcid.org/0000-0002-5294-3161","contributorId":145923,"corporation":false,"usgs":true,"family":"Stelten","given":"Mark","email":"mstelten@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":929876,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawler, Brandi","contributorId":352004,"corporation":false,"usgs":false,"family":"Lawler","given":"Brandi","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":929877,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kuntz, Mel","contributorId":352007,"corporation":false,"usgs":false,"family":"Kuntz","given":"Mel","affiliations":[{"id":37374,"text":"Retired USGS","active":true,"usgs":false}],"preferred":false,"id":929878,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70267792,"text":"70267792 - 2025 - Variation in habitat selection by male Strix nebulosa (Great Gray Owls) across the diel cycle","interactions":[],"lastModifiedDate":"2025-06-02T15:37:53.643622","indexId":"70267792","displayToPublicDate":"2025-01-17T08:32:57","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10109,"text":"Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"Variation in habitat selection by male Strix nebulosa (Great Gray Owls) across the diel cycle","docAbstract":"Despite the long-standing recognition that animals partition activities, for example, across different periods of the day, understanding of how habitat selection varies according to specific temporal periods or behavioral activities remains limited for most species. For example, although much of the animal kingdom is nocturnally active, studies that characterize nocturnal behavior remain relatively rare, which precludes a thorough understanding of key habitats. We used Global Positioning System tracking and remotely-sensed environmental data to evaluate whether breeding-season habitat selection by adult male Strix nebulosa (Great Gray Owls) (n = 19) varied across diel periods (dawn, day, dusk, and night). We focused on male owls because their habitat selection remains largely unknown despite the critical role they play as food provisioners. To address knowledge gaps related to nocturnal habitat, we also evaluated finer-scale, microhabitat selection by male owls at night. Owls were more active during dusk through dawn, suggesting that owls forage during crepuscular and nighttime periods and roost during the day. Owls avoided herbaceous wetlands during the day but strongly selected them at dawn, dusk, and night, indicating time-dependent habitat selection. Moreover, owls avoided dry meadows at all times of the day, suggesting that wet rather than xeric meadows are important for foraging. Owls also selected nighttime microhabitats that facilitated foraging, such as those with the presence of primary prey and open understories. During the daytime, owls chose areas with closed canopies and increased soil moisture, which likely provided suitable roosting habitat. Owls avoided development but selected areas closer to roads, particularly containing preferred habitats. Understanding of habitat selection across activity periods, temporal windows, and other contexts can improve the conservation of critical habitat for wildlife. Our work contributes to understanding of how animals balance resources related to food provisioning versus safety, both of which are critical for individual fitness and population persistence.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/ornithology/ukaf003","usgsCitation":"Gura, K., Bedrosian, B., Patla, S., and Chalfoun, A.D., 2025, Variation in habitat selection by male Strix nebulosa (Great Gray Owls) across the diel cycle: Ornithology, v. 142, ukaf003, 14 p., https://doi.org/10.1093/ornithology/ukaf003.","productDescription":"ukaf003, 14 p.","ipdsId":"IP-174311","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":489826,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ornithology/ukaf003","text":"Publisher Index Page"},{"id":489406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","county":"Teton County","otherGeospatial":"Greater Yellowston Ecosystem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.03645482026093,\n 45.00364303043449\n ],\n [\n -111.03645482026093,\n 43.24877292612567\n ],\n [\n -109.20875713322333,\n 43.24877292612567\n ],\n [\n -109.20875713322333,\n 45.00364303043449\n ],\n [\n -111.03645482026093,\n 45.00364303043449\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"142","noUsgsAuthors":false,"publicationDate":"2025-01-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Gura, Katherine B.","contributorId":356246,"corporation":false,"usgs":false,"family":"Gura","given":"Katherine B.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":938913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bedrosian, Bryan","contributorId":199738,"corporation":false,"usgs":false,"family":"Bedrosian","given":"Bryan","affiliations":[{"id":35591,"text":"Teton Raptor Center","active":true,"usgs":false}],"preferred":false,"id":938914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Patla, Susan","contributorId":356248,"corporation":false,"usgs":false,"family":"Patla","given":"Susan","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":938915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chalfoun, Anna D. 0000-0002-0219-6006 achalfoun@usgs.gov","orcid":"https://orcid.org/0000-0002-0219-6006","contributorId":197589,"corporation":false,"usgs":true,"family":"Chalfoun","given":"Anna","email":"achalfoun@usgs.gov","middleInitial":"D.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":938916,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70262231,"text":"sir20245132 - 2025 - Hydrogeologic framework of the Mountain Home area, southern Idaho","interactions":[],"lastModifiedDate":"2025-07-10T15:47:43.187583","indexId":"sir20245132","displayToPublicDate":"2025-01-16T17:28:13","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5132","displayTitle":"Hydrogeologic Framework of the Mountain Home Area, Southern Idaho","title":"Hydrogeologic framework of the Mountain Home area, southern Idaho","docAbstract":"In the arid western Snake River Plain around the City of Mountain Home, Idaho, declining groundwater levels concern agricultural, municipal, and other water users who rely on groundwater for sustenance because surface-water resources are limited. The U.S. Geological Survey developed this hydrogeologic framework to provide an updated characterization of groundwater resources in the western Snake River Plain around the City of Mountain Home. The hydrogeologic framework comprises: (1) a conceptual description of hydrogeologic units, (2) a three-dimensional hydrogeologic model and borehole database, (3) a map of groundwater levels and change, and (4) a discussion of groundwater occurrence and movement within the study area. Hydrogeologic units were defined based on existing literature and the borehole database compiled for this study; the five hydrogeologic units are granite, rhyolite, basalt, fine-grained sediments, and coarse-grained sediments. Each unit can bear water, but the main regional aquifer in the study area occurs in the basalt and fine-grained sediment units with depth to water ranging from 150 to 765 feet. A perched groundwater zone near the City of Mountain Home is primarily hosted in basalt and used domestically with most depths to water ranging from 30 to 100 feet. Interflow zones, scoria, and vertical fractures create heterogeneity within the basalt hydrogeologic unit that exerts strong control on groundwater movement, creating horizontal perching conditions and zones of enhanced vertical conductivity that facilitate downward groundwater percolation. In the fine- and coarse-grained sediments and rhyolite units, inferred faults both impede and enhance groundwater movement. The borehole database was constructed by digitizing 540 well-driller reports and was used to build a three-dimensional hydrogeologic framework model which reasonably represents the spatial distribution of hydrogeologic units in the study area. Generally, fine-grained sediments underlie much of the study area, with basalt concentrated in the central and western study area and rhyolite and granite in the uplands to the north. Groundwater levels were measured in 180 wells in March and November 2023; these data were used to develop water-table contour maps and describe groundwater-level change over an irrigation season. Groundwater generally flows south-southwest to the Snake River and groundwater levels declined across most of the study area (from 0.03 to 22.01 feet) between spring and autumn 2023, which is consistent with long-term declines in the Cinder Cone Butte Critical Groundwater Area and Mountain Home Groundwater Management Area. Groundwater levels rose (0.6 to 15.44 feet) over the irrigation season in most wells in the perched groundwater zone near the City of Mountain Home and near the Snake River, indicating the importance of surface-water recharge to groundwater in areas where surface water irrigation occurs. In aggregate, this hydrogeologic framework provides an updated characterization of and new insights into groundwater resources in the study area to help inform water resources management.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245132","collaboration":"Prepared in cooperation with the Idaho Department of Water Resources","usgsCitation":"Zinsser, L.M., and Ducar, S.D., 2025, Hydrogeologic framework of the Mountain Home area, southern Idaho: U.S. Geological Survey Scientific Investigations Report 2024–5132, 47 p., https://doi.org/10.3133/sir20245132.","productDescription":"Report: vii, 47 p.; Data Release","numberOfPages":"47","onlineOnly":"Y","ipdsId":"IP-140356","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":492032,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118332.htm","linkFileType":{"id":5,"text":"html"}},{"id":466551,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5132/sir20245132.XML"},{"id":466550,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5132/images"},{"id":466549,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1HK5XWS","text":"USGS data release","description":"USGS data release","linkHelpText":"Hydrogeologic framework of the Mountain Home area, southern Idaho - three-dimensional hydrogeologic framework model, borehole database, well data, water-level contours and groundwater storage change"},{"id":466548,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245132/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5132"},{"id":466547,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5132/sir20245132.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5132"},{"id":466546,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5132/coverthb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Mountain Home area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.5,\n 43.5\n ],\n [\n -116.5,\n 42.833\n ],\n [\n -115,\n 42.833\n ],\n [\n -115,\n 43.5\n ],\n [\n -116.5,\n 43.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Rd
Boise, Idaho 83702-4250
Geologic, or naturally occurring, hydrogen has the potential to become a new, low-carbon, primary energy resource. Often referred to as “white” or “gold” hydrogen, this gas occurs naturally in the Earth’s subsurface, similar to petroleum resources. However, unlike petroleum, which releases carbon dioxide when burned, burning hydrogen only produces water as a byproduct. Exploration for geologic hydrogen remains in an early stage and discoveries of high concentrations of subsurface hydrogen are still relatively rare. To facilitate research and exploration for this potential resource, this report presents the first publicly available prospectivity map of geologic hydrogen accumulations in the conterminous United States. Prospective regions are those regions in which all major components necessary for a hydrogen accumulation likely are present—a source of sufficient hydrogen generation, porous reservoirs for storage, and seals to prevent leakage. The midcontinent region of the United States and the central California coast are revealed as having high prospectivity. This analysis also identifies previously unrecognized prospective regions that may be favorable due to long distance lateral migration of subsurface hydrogen, such as the offshore eastern seaboard of the United States, and can provide a linkage between surface observations of hydrogen degassing and far-field source regions. The methodology developed to create this map is expandable and flexible and may be adapted to incorporate new concepts in the hydrogen system and for application to other regions of the world.
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U.S. Geological Survey
Box 25046, Mail Stop 939
Denver, CO 80225
Accurate estimation of population parameters for imperiled wildlife is crucial for effective conservation decision-making. Population density is commonly used for monitoring imperiled species across space and time, and spatial capture–recapture (SCR) models can produce unbiased density estimates. However, many imperiled species are restricted to fragmented remnant habitats in landscapes severely modified by humans, which can alter animal space use in ways that violate typical SCR model assumptions, possibly cryptically biasing density estimates and misinforming conservation actions. Using data from a two-year camera-trapping survey in the Central Pacific Coast region, Mexico, we demonstrate the potential importance to endangered jaguar (Panthera onca) conservation of considering non-circular home ranges when estimating population density with SCR. Strong evidence existed that jaguars had elliptical home ranges wherein movements primarily occurred along linearly arranged coastal habitats that the camera array aligned with. Accounting for this movement with the SCR anisotropic detection function transformation, density estimates were 30%–32% higher than estimates from standard SCR models that assumed circular home ranges. Given much of suitable jaguar habitat in Mexico is fragmented and linearly oriented along coastlines and mountain ranges, accommodating irregular space use in SCR may be critical for obtaining reliable density estimates to inform effective jaguar conservation.
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