{"pageNumber":"183","pageRowStart":"4550","pageSize":"25","recordCount":40777,"records":[{"id":70228888,"text":"70228888 - 2022 - Coupling process-based and empirical models to assess management options to meet conservation goals","interactions":[],"lastModifiedDate":"2022-02-23T14:43:17.475109","indexId":"70228888","displayToPublicDate":"2022-02-23T08:31:05","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Coupling process-based and empirical models to assess management options to meet conservation goals","docAbstract":"Conservation lands face a mounting threat of ecosystem transformation and the loss of biodiversity from the invasion of fire-prone perennial and annual grasses. Managers must make difficult decisions to find efficient ways to expend limited resources to manage large and complex landscapes amidst substantial uncertainty regarding effective treatment strategies, climates, and invader-induced novel processes. We developed a state-and-transition simulation model coupled with a fire behavior model to study impacts to native biodiversity and fire regimes in a national park invaded by a perennial grass. We evaluated resources required to meet management objectives, and how to spatially allocate available resources efficiently and effectively. Management strategies and ecological scenarios strongly influenced the ability to minimize potential impacts; the inclusion of a new management strategy, aerial precision spot spraying targeting low cover levels in remote regions, was needed to supplement current treatments that can only target large, dense patches. Adding this new treatment method may be enough to conserve the desert ecosystem from small scale transformation through invasive competition and from broad functional transformations through invasive-induced fire regime changes. Spot spraying may also be highly beneficial if wetter monsoonal conditions create faster growth rates, decreasing the ability to contain the invasion even with unlimited management resources. Given current annual budgets for control, and the new treatment option, invasion control and preservation of native biodiversity may be possible regardless of spatial prioritization. Coupled empirical and process-based models efficiently simulated the effects of management activities, quantifying potential management costs and ecological impacts, while considering a wide range of possible future uncertainties associated with climate, spread rates, and wildfires lacking historical precedent. These techniques could be applied to other situations to evaluate the feasibility of conservation goals and to determine actions that would be most efficient and effective in meeting those goals.","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2021.109379","usgsCitation":"Jarnevich, C.S., Cullinane Thomas, C., Young, N.E., Grissom, P., Backer, D.M., and Frid, L., 2022, Coupling process-based and empirical models to assess management options to meet conservation goals: Biological Conservation, v. 256, p. 1-13, https://doi.org/10.1016/j.biocon.2021.109379.","productDescription":"109379, 13 p.","startPage":"1","endPage":"13","ipdsId":"IP-123183","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":448707,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2021.109379","text":"Publisher Index Page"},{"id":435948,"rank":0,"type":{"id":30,"text":"Data 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Center","active":true,"usgs":true}],"preferred":true,"id":835785,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Young, Nicholas E.","contributorId":189060,"corporation":false,"usgs":false,"family":"Young","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":835786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Grissom, Perry","contributorId":215428,"corporation":false,"usgs":false,"family":"Grissom","given":"Perry","email":"","affiliations":[{"id":39243,"text":"Saguaro National Park","active":true,"usgs":false}],"preferred":false,"id":835787,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Backer, Dana M.","contributorId":207326,"corporation":false,"usgs":false,"family":"Backer","given":"Dana","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":835788,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Frid, Leonardo","contributorId":196604,"corporation":false,"usgs":false,"family":"Frid","given":"Leonardo","email":"","affiliations":[],"preferred":false,"id":835789,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70228891,"text":"70228891 - 2022 - INHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States","interactions":[],"lastModifiedDate":"2022-02-23T14:30:43.942294","indexId":"70228891","displayToPublicDate":"2022-02-23T08:21:34","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7774,"text":"PLoSOne","active":true,"publicationSubtype":{"id":10}},"title":"INHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States","docAbstract":"Narrowing the communication and knowledge gap between producers and users of scientific data is a longstanding problem in ecological conservation and land management. Decision support tools (DSTs), including websites or interactive web applications, provide platforms that can help bridge this gap. DSTs can most effectively disseminate and translate research results when producers and users collaboratively and iteratively design content and features. One data resource seldom incorporated into DSTs are species distribution models (SDMs), which can produce spatial predictions of habitat suitability. Outputs from SDMs can inform management decisions, but their complexity and inaccessibility can limit their use by resource managers or policy makers. To overcome these limitations, we present the Invasive Species Habitat Tool (INHABIT), a novel, web-based DST built with R Shiny to display spatial predictions and tabular summaries of habitat suitability from SDMs for invasive plants across the contiguous United States. INHABIT provides actionable science to support the prevention and management of invasive species. Two case studies demonstrate the important role of end user feedback in confirming INHABIT’s credibility, utility, and relevance.","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0263056","usgsCitation":"Engelstad, P., Jarnevich, C.S., Hogan, T., Sofaer, H., Pearse, I., Sieracki, J., Frakes, N., Sullivan, J., Young, N.E., Prevey, J.S., Belamaric, P.N., and Laroe, J.M., 2022, INHABIT: A web-based decision support tool for invasive plant species habitat visualization and assessment across the contiguous United States: PLoSOne, v. 17, no. 2, p. 1-15, https://doi.org/10.1371/journal.pone.0263056.","productDescription":"e0263056, 15 p.","startPage":"1","endPage":"15","ipdsId":"IP-127738","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":448709,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0263056","text":"Publisher Index 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[\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"17","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-08","publicationStatus":"PW","contributors":{"editors":[{"text":"de Paiva Silva, Daniel","contributorId":280006,"corporation":false,"usgs":false,"family":"de Paiva Silva","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":835840,"contributorType":{"id":2,"text":"Editors"},"rank":1}],"authors":[{"text":"Engelstad, Peder","contributorId":238758,"corporation":false,"usgs":false,"family":"Engelstad","given":"Peder","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":835790,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarnevich, Catherine S. 0000-0002-9699-2336 jarnevichc@usgs.gov","orcid":"https://orcid.org/0000-0002-9699-2336","contributorId":3424,"corporation":false,"usgs":true,"family":"Jarnevich","given":"Catherine","email":"jarnevichc@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835791,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hogan, Terri","contributorId":240929,"corporation":false,"usgs":false,"family":"Hogan","given":"Terri","email":"","affiliations":[{"id":48162,"text":"National Park Service, Fort Collins, CO","active":true,"usgs":false}],"preferred":false,"id":835792,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sofaer, Helen 0000-0002-9450-5223","orcid":"https://orcid.org/0000-0002-9450-5223","contributorId":216681,"corporation":false,"usgs":true,"family":"Sofaer","given":"Helen","email":"","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835793,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearse, Ian S. 0000-0001-7098-0495","orcid":"https://orcid.org/0000-0001-7098-0495","contributorId":211154,"corporation":false,"usgs":true,"family":"Pearse","given":"Ian","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835794,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sieracki, Jennifer","contributorId":236914,"corporation":false,"usgs":false,"family":"Sieracki","given":"Jennifer","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":true,"id":835795,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Frakes, Neil","contributorId":177303,"corporation":false,"usgs":false,"family":"Frakes","given":"Neil","email":"","affiliations":[],"preferred":false,"id":835796,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sullivan, Julia","contributorId":238757,"corporation":false,"usgs":false,"family":"Sullivan","given":"Julia","email":"","affiliations":[{"id":47756,"text":"Student contractor to the U.S. Geological Survey Fort Collins Science Center","active":true,"usgs":false}],"preferred":false,"id":835797,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Young, Nicholas E.","contributorId":189060,"corporation":false,"usgs":false,"family":"Young","given":"Nicholas","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":835798,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Prevey, Janet S. 0000-0003-2879-6453","orcid":"https://orcid.org/0000-0003-2879-6453","contributorId":222702,"corporation":false,"usgs":true,"family":"Prevey","given":"Janet","email":"","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835799,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Belamaric, Pairsa Nicole 0000-0001-7529-0370","orcid":"https://orcid.org/0000-0001-7529-0370","contributorId":267846,"corporation":false,"usgs":true,"family":"Belamaric","given":"Pairsa","email":"","middleInitial":"Nicole","affiliations":[{"id":47756,"text":"Student contractor to the U.S. Geological Survey Fort Collins Science Center","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835800,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Laroe, Jillian Marie 0000-0002-1429-9811","orcid":"https://orcid.org/0000-0002-1429-9811","contributorId":279978,"corporation":false,"usgs":true,"family":"Laroe","given":"Jillian","email":"","middleInitial":"Marie","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835801,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70239146,"text":"70239146 - 2022 - Fluoride in thermal and non-thermal groundwater: Insights from geochemical modeling","interactions":[],"lastModifiedDate":"2022-12-29T13:08:08.17597","indexId":"70239146","displayToPublicDate":"2022-02-23T07:06:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12990,"text":"Science of the Total Evironment","active":true,"publicationSubtype":{"id":10}},"title":"Fluoride in thermal and non-thermal groundwater: Insights from geochemical modeling","docAbstract":"

High fluoride (F) groundwaters (>1 mg/L) have been recognized as a water quality problem for nearly a century and occur in many countries worldwide. The affected aquifers can be sedimentary, metamorphic or igneous rocks, but the process giving rise to high-F concentrations has been studied with geochemical modeling and an examination of the rock sources. The association of high-F with silicic igneous rocks such as granites and rhyolites results from magmatic differentiation (fractional crystallization, fractional melting, and crustal assimilation) wherein F is enriched in the liquid phase because of its incompatibility in the mafic minerals that crystallize early during cooling. Further development of F-rich groundwaters occurs during the evolution of Na-HCO3 waters because of removal of Ca through ion-exchange and calcite precipitation, thereby raising the F concentration from minerals like fluorite and fluorapatite to maintain solubility equilibrium. Increasing temperatures enhance this effect because of the retrograde solubility of calcite. From geochemical modeling using the PhreeqcI code, the primary variables controlling F concentrations are DIC (dissolved inorganic carbon), salinity (ionic strength), PCO2, and temperature. Complexing is also important but plays a more secondary role. Considering these variables, an improved set of plotting parameters, F/Cl vs. HCO3/Cl, are shown to be effective in interpreting groundwater analyses. This approach is demonstrated by examining case studies from the Black Creek aquifer, South Carolina, USA, the Madison regional aquifer, midwestern USA, the Mizunami Underground Research Laboratory, Japan, New Zealand thermal waters, the San Luis Valley groundwaters, Colorado, USA, and the Aquia aquifer, Maryland, USA.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2022.153606","usgsCitation":"Nordstrom, D.K., 2022, Fluoride in thermal and non-thermal groundwater: Insights from geochemical modeling: Science of the Total Evironment, v. 824, 153606, 15 p., https://doi.org/10.1016/j.scitotenv.2022.153606.","productDescription":"153606, 15 p.","ipdsId":"IP-135015","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":411175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"824","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nordstrom, D. Kirk 0000-0003-3283-5136 dkn@usgs.gov","orcid":"https://orcid.org/0000-0003-3283-5136","contributorId":749,"corporation":false,"usgs":true,"family":"Nordstrom","given":"D.","email":"dkn@usgs.gov","middleInitial":"Kirk","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":false,"id":860360,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70230068,"text":"70230068 - 2022 - Volcano geodesy using InSAR in 2020: The past and next decades","interactions":[],"lastModifiedDate":"2022-03-28T13:27:51.732662","indexId":"70230068","displayToPublicDate":"2022-02-22T08:25:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"Volcano geodesy using InSAR in 2020: The past and next decades","docAbstract":"

The study of volcano deformation has grown significantly through they year 2020 since the development of interferometric synthetic aperture radar (InSAR) in the 1990s. This relatively new data source, which provides evidence of changes in subsurface magma storage and pressure without the need for ground-based equipment, has matured during the past decade. It now provides a means to address previously inaccessible questions and offers input to increasingly complex models of magmatic processes. Here, we review how technological advances in InSAR during 2010-2020 have facilitated our ability to monitor and interpret volcanic processes, primarily through rapid and accurate observations of the changing surfaces at active volcanoes worldwide. Specifically, we examine how current systems achieve excellent resolution in time and space, provide global coverage, and generate products that are easy to use by non-specialists—factors that have often limited the practical study of volcanoes using radar measurements. We also look to the future, offering our perspective about how advancements in technology and data management in the decade to come will increase the value and accessibility of InSAR applied to the geodetic study of volcanoes and monitoring of hazardous volcanic processes. New developments will include the launch of additional satellites by both public space agencies and private companies, as well as implementation of algorithms for exploiting the growing volumes of data. To meet their full potential, these efforts will require coordination between data users and data providers so that the relevant imagery is acquired, made available to volcanologists in a timely fashion, and utilized to assess and mitigate volcanic hazards.

","language":"English","publisher":"Springer","doi":"10.1007/s00445-022-01531-1","usgsCitation":"Poland, M., and Zebker, H., 2022, Volcano geodesy using InSAR in 2020: The past and next decades: Bulletin of Volcanology, v. 84, no. 3, 27, 8 p., https://doi.org/10.1007/s00445-022-01531-1.","productDescription":"27, 8 p.","ipdsId":"IP-133322","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":397694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"3","noUsgsAuthors":false,"publicationDate":"2022-02-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Poland, Michael 0000-0001-5240-6123","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":49920,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":838942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zebker, Howard 0000-0001-9931-5237","orcid":"https://orcid.org/0000-0001-9931-5237","contributorId":289333,"corporation":false,"usgs":false,"family":"Zebker","given":"Howard","email":"","affiliations":[{"id":6986,"text":"Stanford University","active":true,"usgs":false}],"preferred":false,"id":838943,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70251316,"text":"70251316 - 2022 - Permeability measurement and prediction with nuclear magnetic resonance analysis of gas hydrate-bearing sediments recovered from Alaska North Slope 2018 Hydrate-01 Stratigraphic Test Well","interactions":[],"lastModifiedDate":"2024-02-03T14:13:07.268011","indexId":"70251316","displayToPublicDate":"2022-02-22T08:06:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17149,"text":"Energy and Fuels Journal","active":true,"publicationSubtype":{"id":10}},"title":"Permeability measurement and prediction with nuclear magnetic resonance analysis of gas hydrate-bearing sediments recovered from Alaska North Slope 2018 Hydrate-01 Stratigraphic Test Well","docAbstract":"

Permeability of porous media, such as oil and gas reservoirs, is the crucial material parameter for predicting their hydraulic behavior. A nuclear magnetic resonance (NMR) analyzer is widely used as a powerful tool to predict permeability of various media. NMR T2 (transverse or spin–spin) relaxation time distribution, which is related to pore size distribution, gives the information to allow calculation of effective (initial) permeability. In this study, we investigate effective, intrinsic (absolute), and relative water and gas permeabilities of hydrate-bearing pressure core samples. These samples were recovered from the Alaska North Slope 2018 Hydrate-01 Stratigraphic Test Well by sidewall pressure coring and then analyzed in a laboratory using both fluid flow test and NMR analyzer. The peak of the NMR T2 distribution was measured at 10–20 ms using a laboratory NMR analyzer, which compares well with in situ measurements obtained via logging while drilling NMR data for two samples with high gas hydrate saturations (Sh = 76% and 74%). Further, comparison of laboratory NMR T2 distribution after hydrate dissociation revealed that the hydrate existed in large pore spaces. Effective permeabilities predicted by the Timur-Coates (TC) model and the Schlumberger-Doll-Research (SDR) model, with T2 cutoff 33 ms, were about an order of magnitude less than the laboratory measured values. Alternative TC model-based calculations with the T2 cutoff reduced to 10 ms and a newly developed hydraulic radius model better matched the laboratory data. For the analysis of the intrinsic permeabilities, the TC model with a T2 cutoff of 33 ms and SDR model were greater than the laboratory derived values, while the hydraulic radius model more closely matched the laboratory-derived values. In addition, permeability measurements were also made relative to gas and water under constant three-phase flow (water–gas–hydrate) conditions. After hydrate dissociation, a relative permeability curve was developed for each of the analyzed core samples based on the Corey petrophysical model. The results indicate that the gas permeability changed rapidly at high water saturation around 90%. Thus, we infer that the selection of relative reservoir parameters should focus on the higher water saturation conditions.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.energyfuels.1c03810","usgsCitation":"Yoneda, J., Suzuki, K., Jin, Y., Ohtsuki, S., Collett, T.S., Boswell, R., Maehara, Y., and Okinaka, N., 2022, Permeability measurement and prediction with nuclear magnetic resonance analysis of gas hydrate-bearing sediments recovered from Alaska North Slope 2018 Hydrate-01 Stratigraphic Test Well: Energy and Fuels Journal, v. 36, no. 5, p. 2515-2529, https://doi.org/10.1021/acs.energyfuels.1c03810.","productDescription":"15 p.","startPage":"2515","endPage":"2529","ipdsId":"IP-135014","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":425357,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Alaska North Slope 2018 Hydrate-01 Stratigraphic Test Well","volume":"36","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-02-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Yoneda, Jun","contributorId":240073,"corporation":false,"usgs":false,"family":"Yoneda","given":"Jun","affiliations":[{"id":40273,"text":"National Institute of Advanced Industrial Science and Technology","active":true,"usgs":false}],"preferred":false,"id":894033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suzuki, Kiyofumi","contributorId":240086,"corporation":false,"usgs":false,"family":"Suzuki","given":"Kiyofumi","affiliations":[{"id":39359,"text":"JOGMEC","active":true,"usgs":false}],"preferred":false,"id":894034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jin, Yusuke","contributorId":240045,"corporation":false,"usgs":false,"family":"Jin","given":"Yusuke","affiliations":[{"id":40273,"text":"National Institute of Advanced Industrial Science and Technology","active":true,"usgs":false}],"preferred":false,"id":894035,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ohtsuki, Satoshi","contributorId":150141,"corporation":false,"usgs":false,"family":"Ohtsuki","given":"Satoshi","email":"","affiliations":[{"id":17917,"text":"Japan Oil, Gas and Metals National Corporation","active":true,"usgs":false}],"preferred":false,"id":894036,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Collett, Timothy S. 0000-0002-7598-4708 tcollett@usgs.gov","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":1698,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","email":"tcollett@usgs.gov","middleInitial":"S.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":894037,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boswell, Ray","contributorId":242633,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[{"id":34152,"text":"US Department of Energy","active":true,"usgs":false}],"preferred":false,"id":894038,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maehara, Yuki","contributorId":333830,"corporation":false,"usgs":false,"family":"Maehara","given":"Yuki","email":"","affiliations":[],"preferred":false,"id":894039,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Okinaka, Norihiro","contributorId":330874,"corporation":false,"usgs":false,"family":"Okinaka","given":"Norihiro","affiliations":[{"id":39359,"text":"JOGMEC","active":true,"usgs":false}],"preferred":false,"id":894040,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70249481,"text":"70249481 - 2022 - Characterizing unrest: A retrospective look at 20 years of gas emissions and seismicity at Iliamna Volcano, Alaska","interactions":[],"lastModifiedDate":"2023-10-10T12:05:00.623773","indexId":"70249481","displayToPublicDate":"2022-02-22T07:02:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2499,"text":"Journal of Volcanology and Geothermal Research","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing unrest: A retrospective look at 20 years of gas emissions and seismicity at Iliamna Volcano, Alaska","docAbstract":"

Episodes of unrest are not as well documented as eruptions at most volcanoes globally. Iliamna is an andesitic stratovolcano in the Cook Inlet of Alaska that has experienced several episodes of unrest. Unrest in 1996 was previously studied. Here we present data from a minor period of unrest between 2002 and 2006, and a more significant period in 2012. None of the episodes led to an eruption. A dike intrusion was suggested for the 1996 unrest based on increases in gas emissions and seismic analysis. The 2002–2006 period was characterized by a slight increase in the rate of seismicity to 13 events per day and was particularly notable due to an increase in deep long period (DLP) seismic events between 15 and 37 km that were not observed at other times. This period also included one airborne gas measurement with and elevated CO2/SO2 molar ratio (17). In 2012, Iliamna unrest was characterized by significantly elevated gas emissions (up to 582 t/d SO2 and 1385 t/d CO2) and up to 49 located earthquakes per day (M > 0), and was remarkably similar to the 1996 unrest. Differences in the observed evolution of the CO2/SO2 gas ratio in 2012 (2.2–4) compared to that in 1996 (up to 18) suggests that no new deep magma was involved in 2012, however this does not preclude the movement of a previously intruded magma. A months-long increase in the SO2/H2S molar ratio from 8 to 17 during the peak of the activity could reflect a temperature increase on the order of 10–30 °C of the emitted gas. Compared to pre-eruptive unrest at other Cook Inlet volcanoes, Iliamna unrest in 2012 differed in that gas emissions were < 1500 t/d and seismicity lacked a rapidly escalating sequence of earthquakes and volcanic tremor, which is normally observed in the hours to days before eruption. The observation of DLPs, the fact that Iliamna produces moderately elevated degassing over decadal timeframes, and the persistent dominance of SO2 over H2S, suggests that periodic input of fresh magma from the lower crust sustains the shallower magmatic system over time, which sets it apart from neighboring volcanoes in the Cook Inlet that show minimal activity between eruptions. Various scenarios could explain why Iliamna did not proceed to eruption in 2012. Finally, we present criteria by which monitoring data may suggest an increased likelihood of eruption at Iliamna in the future.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2021.107448","usgsCitation":"Werner, C., Power, J., Kelly, P.J., Prejean, S., and Kern, C., 2022, Characterizing unrest: A retrospective look at 20 years of gas emissions and seismicity at Iliamna Volcano, Alaska: Journal of Volcanology and Geothermal Research, v. 422, 107448, 15 p., https://doi.org/10.1016/j.jvolgeores.2021.107448.","productDescription":"107448, 15 p.","ipdsId":"IP-132949","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":435949,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MC3G1N","text":"USGS data release","linkHelpText":"Airborne Volcanic Gas Measurements at Iliamna Volcano, Alaska 2004-2017"},{"id":421808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Iliamna Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -153.533216000741,\n 60.29340556911626\n ],\n [\n -153.533216000741,\n 59.81532265939336\n ],\n [\n -152.41582962688406,\n 59.81532265939336\n ],\n [\n -152.41582962688406,\n 60.29340556911626\n ],\n [\n -153.533216000741,\n 60.29340556911626\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"422","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Werner, Cynthia 0000-0003-3311-6694","orcid":"https://orcid.org/0000-0003-3311-6694","contributorId":224428,"corporation":false,"usgs":false,"family":"Werner","given":"Cynthia","affiliations":[{"id":37768,"text":"USGS Contractor","active":true,"usgs":false}],"preferred":false,"id":885883,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Power, John 0000-0002-7233-4398","orcid":"https://orcid.org/0000-0002-7233-4398","contributorId":215240,"corporation":false,"usgs":true,"family":"Power","given":"John","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":885884,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kelly, Peter J. 0000-0002-3868-1046 pkelly@usgs.gov","orcid":"https://orcid.org/0000-0002-3868-1046","contributorId":5931,"corporation":false,"usgs":true,"family":"Kelly","given":"Peter","email":"pkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":885885,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Prejean, Stephanie 0000-0003-0510-1989 sprejean@usgs.gov","orcid":"https://orcid.org/0000-0003-0510-1989","contributorId":172404,"corporation":false,"usgs":true,"family":"Prejean","given":"Stephanie","email":"sprejean@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":885886,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":885887,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70228918,"text":"70228918 - 2022 - Analyzing the effects of land cover change on the water balance for case study watersheds in different forested ecosystems in the USA","interactions":[],"lastModifiedDate":"2022-02-24T18:00:28.672968","indexId":"70228918","displayToPublicDate":"2022-02-21T11:57:51","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2596,"text":"Land","active":true,"publicationSubtype":{"id":10}},"title":"Analyzing the effects of land cover change on the water balance for case study watersheds in different forested ecosystems in the USA","docAbstract":"

We analyzed impacts of interannual disturbance on the water balance of watersheds in different forested ecosystem case studies across the United States from 1985 to 2016 using a remotely sensed long-term land cover monitoring record (U.S. Geological Survey Land Change Monitoring, Assessment, and Projection (LCMAP) Collection 1.0 Science products), gridded precipitation and evaporation data, and streamgaging data using paired watersheds (high and low disturbance). LCMAP products were used to quantify the timing and degree of interannual disturbance and to gain a better understanding of how land cover change affects the water balance of disturbed watersheds. In this paper, we present how LCMAP science products can be used to improve knowledge for hydrologic modeling, climate research, and forest management. Anthropogenic influences (e.g., dams and irrigation diversions) often minimize the impacts of land cover change on water balance dynamics when compared to interannual fluctuations of hydroclimatic events (e.g., drought and flooding). Our findings show that each watershed exhibits a complex suite of influences involving climate variables and other factors that affect each of their water balances differently when land cover change occurs. In this study, forests within arid to semi-arid climates experience greater water balance effects from land cover change than watersheds where water is less limited. 

","language":"English","publisher":"MDPI","doi":"10.3390/land11020316","usgsCitation":"Healey, N.C., and Rover, J., 2022, Analyzing the effects of land cover change on the water balance for case study watersheds in different forested ecosystems in the USA: Land, v. 11, no. 2, 316, 43 p., https://doi.org/10.3390/land11020316.","productDescription":"316, 43 p.","ipdsId":"IP-130474","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":448718,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/land11020316","text":"Publisher Index Page"},{"id":396438,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n 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-117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"11","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Healey, Nathan C. 0000-0002-8516-2636","orcid":"https://orcid.org/0000-0002-8516-2636","contributorId":280023,"corporation":false,"usgs":false,"family":"Healey","given":"Nathan","email":"","middleInitial":"C.","affiliations":[{"id":57411,"text":"KBR, Inc.","active":true,"usgs":false}],"preferred":false,"id":835894,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rover, Jennifer 0000-0002-3437-4030","orcid":"https://orcid.org/0000-0002-3437-4030","contributorId":211850,"corporation":false,"usgs":true,"family":"Rover","given":"Jennifer","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":835895,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70264656,"text":"70264656 - 2022 - Rainfall triggering of post-fire debris flows over a 28-year period near El Portal, California, USA","interactions":[],"lastModifiedDate":"2025-03-18T16:02:43.640972","indexId":"70264656","displayToPublicDate":"2022-02-21T10:55:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7559,"text":"Environmental and Engineering Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Rainfall triggering of post-fire debris flows over a 28-year period near El Portal, California, USA","docAbstract":"

Wildfires frequently affect the steep hillslopes near El Portal, California (United States), a small community established during the California Gold Rush in the mid-1800s. In addition to the historical significance of El Portal, State Route 140 (SR 140) is a major transportation and economic corridor connecting the San Joaquin Valley to Yosemite National Park (YNP). In 2019, an estimated 4.5 million tourists visited and accessed YNP via SR 140. In the years after wildfires, the burned watersheds produced debris flows during intense rainfall, impacting the El Portal community and motorists traveling on SR 140 and local roads. The steepness of the hillslopes and confinement of the valley limit options for mitigating debris-flow risk. As such, emergency managers are left with evacuation orders or temporary road closures as the best options for risk reduction. The effectiveness of these options is highly dependent on establishing an accurate local rainfall intensity-duration threshold that officials can use to guide emergency response actions and timing. We present an overview of the rainfall conditions that initiated 12 post-fire debris-flow events near El Portal from 1991 to 2018 and objectively define rainfall intensity-duration thresholds from triggering rainfall rates. Our results highlight the modest rainfall rates that triggered debris flows in these steep watersheds, while radar data from more recent events (2012–2018) portray the spatial variability of intense rainfall in the area. Additional rainfall monitoring is needed to provide a robust rainfall threshold that will effectively mitigate risk for residents and motorists while minimizing the impact of road closures and evacuations.

","language":"English","publisher":"Association of Environmental & Engineering Geologists","doi":"10.2113/EEG-D-21-00031","usgsCitation":"De Graff, J.V., Staley, D.M., Stock, G., Takenaka, K., Gallegos, A., and Neptune, C., 2022, Rainfall triggering of post-fire debris flows over a 28-year period near El Portal, California, USA: Environmental and Engineering Geoscience, v. 28, no. 1, p. 133-145, https://doi.org/10.2113/EEG-D-21-00031.","productDescription":"14 p.","startPage":"133","endPage":"145","ipdsId":"IP-134684","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":483478,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"El Portal, Yosemite National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119.333,\n 38\n ],\n [\n -120.25,\n 38\n ],\n [\n -120.25,\n 37.333\n ],\n [\n -119.333,\n 37.333\n ],\n [\n -119.333,\n 38\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"De Graff, Jerome V.","contributorId":195393,"corporation":false,"usgs":false,"family":"De Graff","given":"Jerome","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":931121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Staley, Dennis M. 0000-0002-2239-3402 dstaley@usgs.gov","orcid":"https://orcid.org/0000-0002-2239-3402","contributorId":4134,"corporation":false,"usgs":true,"family":"Staley","given":"Dennis","email":"dstaley@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":931122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stock, Greg M.","contributorId":258810,"corporation":false,"usgs":false,"family":"Stock","given":"Greg M.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":931123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takenaka, Kellen","contributorId":352407,"corporation":false,"usgs":false,"family":"Takenaka","given":"Kellen","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":931124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gallegos, Alan L.","contributorId":352408,"corporation":false,"usgs":false,"family":"Gallegos","given":"Alan L.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":931125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Neptune, Chad K.","contributorId":352411,"corporation":false,"usgs":false,"family":"Neptune","given":"Chad K.","affiliations":[{"id":84211,"text":"California State University, Fresno CA USA","active":true,"usgs":false}],"preferred":false,"id":931126,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70235911,"text":"70235911 - 2022 - Rockfall kinematics from massive rock cliffs: Outlier boulders and flyrock from Whitney Portal, California, rockfalls","interactions":[],"lastModifiedDate":"2022-08-25T15:34:43.529882","indexId":"70235911","displayToPublicDate":"2022-02-21T10:17:41","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7559,"text":"Environmental and Engineering Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Rockfall kinematics from massive rock cliffs: Outlier boulders and flyrock from Whitney Portal, California, rockfalls","docAbstract":"

Geologic conditions and topographic setting are among the most critical factors for assessing rockfall hazards. However, other subtle features of rockfall motion may also govern the runout of rockfall debris, particularly for those sourced from massive cliffs where debris can have substantial momentum during transport. Rocks may undergo collisions with trees and talus boulders, with the latter potentially generating flyrock—launched rock pieces resulting from boulder collisions that follow distinctively different paths than the majority of debris. Collectively, these intricacies of rockfall kinematics may substantially govern the hazards expected from rockfall to both persons and infrastructure located beneath steep cliffs. Here, we investigate the kinematics, including outlier boulder and flyrock trajectories, of seismically triggered rockfalls on 24 June 2020 that damaged campground facilities near Whitney Portal, CA, a heavily used outdoor recreation gateway to the Sierra Nevada mountains. Our results, obtained in part by rockfall runout model simulations, indicate that outlier boulder trajectories resulted from opportunities provided by less steep terrain beyond the talus edge. The influence of trees, initially thought to have served a protective capacity in attenuating rockfall energy, appears to have been negligible for the large boulder volumes (>50 m3) mobilized, although they did potentially deflect the trajectory of flyrock debris. Rockfall outlier boulders from the event were comparable in volume and runout distance to prehistoric boulders located beyond the talus slope, thereby providing some level of confidence in the use of a single rockfall shadow angle for estimating future rockfall hazards at the site.

","language":"English","publisher":"Association of Environmental & Engineering Geologists","doi":"10.2113/EEG-D-21-00023","usgsCitation":"Collins, B.D., Corbett, S.C., Horton, E.J., and Gallegos, A., 2022, Rockfall kinematics from massive rock cliffs: Outlier boulders and flyrock from Whitney Portal, California, rockfalls: Environmental and Engineering Geoscience, v. 28, no. 1, p. 3-24, https://doi.org/10.2113/EEG-D-21-00023.","productDescription":"22 p.","startPage":"3","endPage":"24","ipdsId":"IP-126637","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":435954,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P93TJUXH","text":"USGS data release","linkHelpText":"Field, remote sensing, and modeling data used for Collins et al., Rockfall Kinematics from Massive Rock Cliffs: Outlier Boulders and Flyrock Resulting from the 2020 Whitney Portal, California Rockfalls"},{"id":405580,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Whitney Portal","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -118.32550048828126,\n 36.54688017175944\n ],\n [\n -118.20001602172852,\n 36.54688017175944\n ],\n [\n -118.20001602172852,\n 36.615252060835196\n ],\n [\n -118.32550048828126,\n 36.615252060835196\n ],\n [\n -118.32550048828126,\n 36.54688017175944\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"28","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Collins, Brian D. 0000-0003-4881-5359 bcollins@usgs.gov","orcid":"https://orcid.org/0000-0003-4881-5359","contributorId":149278,"corporation":false,"usgs":true,"family":"Collins","given":"Brian","email":"bcollins@usgs.gov","middleInitial":"D.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":849667,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corbett, Skye C. 0000-0003-3277-1021 scorbett@usgs.gov","orcid":"https://orcid.org/0000-0003-3277-1021","contributorId":200617,"corporation":false,"usgs":true,"family":"Corbett","given":"Skye","email":"scorbett@usgs.gov","middleInitial":"C.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":849668,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horton, Elizabeth Jean","contributorId":295558,"corporation":false,"usgs":true,"family":"Horton","given":"Elizabeth","email":"","middleInitial":"Jean","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":849669,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gallegos, Alan J.","contributorId":295559,"corporation":false,"usgs":false,"family":"Gallegos","given":"Alan J.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":849670,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70237759,"text":"70237759 - 2022 - Unravelling a 2300 year long sedimentary record of megathrust and intraslab earthquakes in proglacial Skilak Lake, south-central Alaska","interactions":[],"lastModifiedDate":"2023-11-14T15:06:47.199697","indexId":"70237759","displayToPublicDate":"2022-02-21T09:14:44","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3369,"text":"Sedimentology","active":true,"publicationSubtype":{"id":10}},"title":"Unravelling a 2300 year long sedimentary record of megathrust and intraslab earthquakes in proglacial Skilak Lake, south-central Alaska","docAbstract":"

Seismic hazards in subduction settings typically arise from megathrust, intraslab and crustal earthquake sources. Despite the frequent occurrence of intraslab earthquakes in subduction zones and their potential threat to communities, their long-term recurrence behaviour is barely studied. Sedimentary sequences in lakes may register ground shaking from different seismic sources. This study investigates two long sediment cores (13 m and 16 m) from Skilak Lake, a proglacial lake in south-central Alaska, to evaluate whether different seismic sources leave a distinct imprint. The sedimentary record shows a continuously varved sediment sequence, occasionally interrupted by turbidites, slump deposits and tephra beds. Turbidites and slump deposits were objectively identified using a statistical outlier analysis on varve thickness. The earthquake origin of these deposits was ascertained by resemblance with deposits induced by instrumentally recorded earthquakes (for example, 1964 ce Mw 9.2 megathrust and 1954 ce Mw 6.4 intraslab earthquakes) and correlation with multiple coeval landslide deposits on sub-bottom profiles. The Skilak Lake record chronicles 19 earthquakes with moderate to very high confidence level in the past 1350 years. The sedimentary evidence of instrumentally-recorded intraslab and megathrust earthquakes within the past 70 years demonstrates that not only megathrust earthquakes, but also past intraslab events are recorded. Although reported seismic intensities at Skilak Lake are comparable for the 1964 ce megathrust and the 1954 ce intraslab earthquakes, the long duration and low frequency content of seismic ground motion during megathrust earthquakes facilitate the triggering of multiple, voluminous landslides and the generation of megaturbidites. In contrast, the shorter duration and higher frequency source spectrum of intraslab earthquakes may only induce surficial slope remobilization and the generation of thinner turbidites. This study demonstrates that the sedimentary record of Skilak Lake has the potential to decipher multiple seismic sources, which opens possibilities for a comprehensive seismic hazard analysis for south-central Alaska.

","language":"English","publisher":"Wiley","doi":"10.1111/sed.12986","usgsCitation":"Praet, N., Van Daele, M., Moernaut, J., Mestdagh, T., Vandorpe, T., Jensen, B.J., Witter, R., Haeussler, P., and De Batist, M., 2022, Unravelling a 2300 year long sedimentary record of megathrust and intraslab earthquakes in proglacial Skilak Lake, south-central Alaska: Sedimentology, v. 69, no. 5, p. 2151-2180, https://doi.org/10.1111/sed.12986.","productDescription":"30 p.","startPage":"2151","endPage":"2180","ipdsId":"IP-135294","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":408605,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Skilak Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -150.55,\n 60.5\n ],\n [\n -150.55,\n 60.35\n ],\n [\n -150.05,\n 60.35\n ],\n [\n -150.05,\n 60.5\n ],\n [\n -150.55,\n 60.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"69","issue":"5","noUsgsAuthors":false,"publicationDate":"2022-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Praet, Nore","contributorId":194083,"corporation":false,"usgs":false,"family":"Praet","given":"Nore","email":"","affiliations":[],"preferred":false,"id":855465,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Daele, Maarten 0000-0002-8530-4438","orcid":"https://orcid.org/0000-0002-8530-4438","contributorId":194085,"corporation":false,"usgs":false,"family":"Van Daele","given":"Maarten","email":"","affiliations":[{"id":27279,"text":"Department of Geology and Soil Science, Ghent University, Ghent, Belgium","active":true,"usgs":false}],"preferred":false,"id":855466,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moernaut, Jasper","contributorId":194084,"corporation":false,"usgs":false,"family":"Moernaut","given":"Jasper","email":"","affiliations":[],"preferred":false,"id":855467,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mestdagh, Thomas 0000-0002-6312-7039","orcid":"https://orcid.org/0000-0002-6312-7039","contributorId":298372,"corporation":false,"usgs":false,"family":"Mestdagh","given":"Thomas","email":"","affiliations":[{"id":64542,"text":"Flanders Marine Institute","active":true,"usgs":false}],"preferred":false,"id":855468,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vandorpe, Thomas 0000-0002-1461-2484","orcid":"https://orcid.org/0000-0002-1461-2484","contributorId":298373,"corporation":false,"usgs":false,"family":"Vandorpe","given":"Thomas","email":"","affiliations":[{"id":64542,"text":"Flanders Marine Institute","active":true,"usgs":false}],"preferred":false,"id":855469,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jensen, Britta J.L. 0000-0001-9134-7170","orcid":"https://orcid.org/0000-0001-9134-7170","contributorId":244298,"corporation":false,"usgs":false,"family":"Jensen","given":"Britta","email":"","middleInitial":"J.L.","affiliations":[{"id":36696,"text":"University of Alberta","active":true,"usgs":false}],"preferred":false,"id":855470,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Witter, Robert C. 0000-0002-1721-254X rwitter@usgs.gov","orcid":"https://orcid.org/0000-0002-1721-254X","contributorId":4528,"corporation":false,"usgs":true,"family":"Witter","given":"Robert C.","email":"rwitter@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":855471,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":855472,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"De Batist, Marc 0000-0002-1625-2080","orcid":"https://orcid.org/0000-0002-1625-2080","contributorId":194089,"corporation":false,"usgs":false,"family":"De Batist","given":"Marc","email":"","affiliations":[],"preferred":false,"id":855473,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70228780,"text":"70228780 - 2022 - Detrital zircon provenance of the Cretaceous-Neogene East Coast Basin reveals changing tectonic conditions and drainage reorganization along the Pacific margin of Zealandia","interactions":[],"lastModifiedDate":"2022-04-12T13:34:28.945014","indexId":"70228780","displayToPublicDate":"2022-02-21T08:56:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Detrital zircon provenance of the Cretaceous-Neogene East Coast Basin reveals changing tectonic conditions and drainage reorganization along the Pacific margin of Zealandia","docAbstract":"

The Upper Cretaceous–Pliocene strata of New Zealand record ~100 m.y. of Zealandia’s evolution, including development of the Hikurangi convergent margin and Alpine transform plate boundary. A comprehensive, new detrital zircon U-Pb data set (8315 analyses from 61 samples) was generated along a ~700 km transect of the East Coast Basin of New Zealand. Age distributions were analyzed and interpreted in terms of published data available for Cambrian–Cretaceous igneous and metasedimentary source terranes using a Monte Carlo mixture modeling approach. Results indicate a widespread Early Cretaceous transition in sediment source from the Gondwana interior to the Median Batholith magmatic arc prior to Late Cretaceous rifting from Antarctica. Submergence of Zealandia during a Late Cretaceous–Paleogene drift phase led to major drainage reorganization and the influx of Eastern Province sediment to the East Coast Basin. A long-lived sediment conduit that transported extraregional Western Province detritus to the south-central East Coast Basin may have developed along a structural precursor to the Alpine Fault. Marked Neogene increase of Upper Jurassic–Lower Cretaceous Torlesse Composite Terrane sediment to the central East Coast Basin resulted from exhumation of the Axial Ranges, convergence along the Hikurangi subduction margin, and concurrent development of the Alpine Fault. Concurrent influx of contemporaneous Neogene zircon in the northern East Coast Basin indicated the onset of subduction-related volcanism of the Northland–Coromandel Volcanic Arc. Middle Miocene–Pliocene exhumation and dextral translation of the Nelson region along the Alpine Fault resulted in the eastward routing of Western Province sediment to the central East Coast Basin. Finally, topography developed across the plate boundary and ultimately partitioned continental drainage of Zealandia, such that sediment from the Murihiku, Caples, and Rakaia Terranes in the Otago region was routed to the southern extent of the East Coast Basin. These results illuminate the evolution of the Zealandia continental drainage divide in response to the initiation of the Pacific-Australian plate boundary and demonstrate the power of mixture modeling and large data sets for deciphering sediment routing in dynamic tectonic environments.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02404.1","usgsCitation":"Gooley, J.T., and Nieminski, N.M., 2022, Detrital zircon provenance of the Cretaceous-Neogene East Coast Basin reveals changing tectonic conditions and drainage reorganization along the Pacific margin of Zealandia: Geosphere, v. 18, no. 2, p. 616-646, https://doi.org/10.1130/GES02404.1.","productDescription":"31 p.","startPage":"616","endPage":"646","ipdsId":"IP-125520","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":448721,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02404.1","text":"Publisher Index Page"},{"id":396221,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"New Zealand","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 170.068359375,\n -47.04018214480665\n ],\n [\n 179.296875,\n -37.78808138412045\n ],\n [\n 173.935546875,\n -34.089061315849946\n ],\n [\n 172.44140625,\n -34.813803317113134\n ],\n [\n 173.49609375,\n -38.89103282648846\n ],\n [\n 170.947265625,\n -40.51379915504413\n ],\n [\n 165.76171875,\n -45.644768217751924\n ],\n [\n 168.57421875,\n -48.10743118848039\n ],\n [\n 170.068359375,\n -47.04018214480665\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Gooley, Jared T. 0000-0001-5620-3702","orcid":"https://orcid.org/0000-0001-5620-3702","contributorId":248710,"corporation":false,"usgs":true,"family":"Gooley","given":"Jared","email":"","middleInitial":"T.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":835452,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nieminski, Nora Maria 0000-0002-4465-8731","orcid":"https://orcid.org/0000-0002-4465-8731","contributorId":279764,"corporation":false,"usgs":true,"family":"Nieminski","given":"Nora","email":"","middleInitial":"Maria","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":835453,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70229156,"text":"70229156 - 2022 - DSWEmod - The production of high-frequency surface water map composites from daily MODIS images","interactions":[],"lastModifiedDate":"2022-04-12T13:36:29.136585","indexId":"70229156","displayToPublicDate":"2022-02-21T06:51:48","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"DSWEmod - The production of high-frequency surface water map composites from daily MODIS images","docAbstract":"

Optical satellite imagery is commonly used for monitoring surface water dynamics, but clouds and cloud shadows present challenges in assembling complete water time series. To test whether the daily revisit rate of Moderate Resolution Imaging Spectroradiometer (MODIS) satellite imagery can reduce cloud obstruction and improve high-frequency surface water mapping, we compared map results derived from Landsat (30-m) and MODIS (250-m) data across the state of California for 2003–2019. We adapted the Dynamic Surface Water Extent (DSWE) model in Google Earth Engine to generate surface water map composites from MODIS imagery every 5, 10, 15, and 30 days, and compared products to monthly Landsat-based DSWE maps. Results for DSWEmod (DSWE MODIS) in California suggest that more than 5% data loss (cloud obstruction, etc.) was present in only 2% of the 15-day time series, as compared to 32% of the monthly Landsat DSWE time series. The five-day DSWEmod composites averaged 8.4% obscuration in the winter months. Area estimates derived from cloud-filtered MODIS and Landsat monthly products have the highest linear correlations compared to streamgage discharge records, suggesting that monthly scale analyses best explain the relationship between surface water area and general streamflow dynamics. Shorter-interval DSWEmod products have lower correlations but utility for understanding the timing of surface water peaks and past flood events.

","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12996","usgsCitation":"Soulard, C.E., Waller, E., Walker, J., Petrakis, R., and Smith, B.W., 2022, DSWEmod - The production of high-frequency surface water map composites from daily MODIS images: Journal of the American Water Resources Association, v. 58, no. 2, p. 248-268, https://doi.org/10.1111/1752-1688.12996.","productDescription":"21 p.","startPage":"248","endPage":"268","ipdsId":"IP-125002","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":489033,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12996","text":"Publisher Index Page"},{"id":435960,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QEDWAK","text":"USGS data release","linkHelpText":"DSWE_GEE v1.0.0"},{"id":435959,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RVPJWE","text":"USGS data release","linkHelpText":"DSWEmod surface water map composites generated from daily MODIS images - California"},{"id":396591,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"58","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Soulard, Christopher E. 0000-0002-5777-9516 csoulard@usgs.gov","orcid":"https://orcid.org/0000-0002-5777-9516","contributorId":2642,"corporation":false,"usgs":true,"family":"Soulard","given":"Christopher","email":"csoulard@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":836796,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Waller, Eric 0000-0002-9169-9210","orcid":"https://orcid.org/0000-0002-9169-9210","contributorId":220101,"corporation":false,"usgs":false,"family":"Waller","given":"Eric","affiliations":[],"preferred":false,"id":836797,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walker, Jessica J. 0000-0002-3225-0317","orcid":"https://orcid.org/0000-0002-3225-0317","contributorId":207373,"corporation":false,"usgs":true,"family":"Walker","given":"Jessica J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":836798,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Petrakis, Roy E. 0000-0001-8932-077X rpetrakis@usgs.gov","orcid":"https://orcid.org/0000-0001-8932-077X","contributorId":174623,"corporation":false,"usgs":true,"family":"Petrakis","given":"Roy","email":"rpetrakis@usgs.gov","middleInitial":"E.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":836799,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Britt Windsor 0000-0003-1556-2383","orcid":"https://orcid.org/0000-0003-1556-2383","contributorId":287481,"corporation":false,"usgs":true,"family":"Smith","given":"Britt","email":"","middleInitial":"Windsor","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":836800,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70237129,"text":"70237129 - 2022 - Joint-species analysis reveals potential displacement of native fishes by non-native fishes within the Santa Ana River, California","interactions":[],"lastModifiedDate":"2022-09-30T11:59:39.175574","indexId":"70237129","displayToPublicDate":"2022-02-18T06:52:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1169,"text":"Canadian Journal of Fisheries and Aquatic Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Joint-species analysis reveals potential displacement of native fishes by non-native fishes within the Santa Ana River, California","docAbstract":"
Accurate estimates of abundance are a cornerstone for resource managers to make effective decisions for fish conservation. However, multiple sampling methods often are required to sample fish communities, and ignoring the detection process can create substantial bias in latent state parameter estimation (e.g., abundance, survival). We developed a joint-species N-mixture model that integrated snorkel, seining, and electrofishing surveys to estimate factors affecting native and non-native fish distributions in the Santa Ana River, California. We found through data integration that native Santa Ana sucker (Catostomus santaanae) and arroyo chub (Gila orcuttii) were most abundant in wide stream channels, and the abundance of both native fishes were negatively correlated with non-native largemouth bass (Micropterus salmoides). Our results highlight the power of integrating multiple data sets into a single analysis and incorporating among-species correlation into abundance modeling. Our results also highlight a pattern of native fish declines that coincides with an expanding largemouth bass population, a concern for the management of native aquatic communities within the Santa Ana River.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjfas-2021-0210","usgsCitation":"Huntsman, B., Brown, L.R., Palenscar, K., Jones, C., Russell, K., Dyer, H., Mills, B., Wulff, M.L., and May, J., 2022, Joint-species analysis reveals potential displacement of native fishes by non-native fishes within the Santa Ana River, California: Canadian Journal of Fisheries and Aquatic Sciences, v. 79, no. 9, p. 1389-1406, https://doi.org/10.1139/cjfas-2021-0210.","productDescription":"18 p.","startPage":"1389","endPage":"1406","ipdsId":"IP-129569","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":448736,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1139/cjfas-2021-0210","text":"Publisher Index Page"},{"id":407692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Santa Ana River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.49877929687499,\n 34.338900400404995\n ],\n [\n -116.69677734375,\n 34.338900400404995\n ],\n [\n -116.69677734375,\n 35.16931803601131\n ],\n [\n -117.49877929687499,\n 35.16931803601131\n ],\n [\n -117.49877929687499,\n 34.338900400404995\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"79","issue":"9","noUsgsAuthors":false,"publicationDate":"2022-02-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Huntsman, Brock 0000-0003-4090-1949","orcid":"https://orcid.org/0000-0003-4090-1949","contributorId":223101,"corporation":false,"usgs":true,"family":"Huntsman","given":"Brock","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":853412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brown, Larry R. 0000-0001-6702-4531","orcid":"https://orcid.org/0000-0001-6702-4531","contributorId":269405,"corporation":false,"usgs":false,"family":"Brown","given":"Larry","email":"","middleInitial":"R.","affiliations":[{"id":55970,"text":"USGS CAWSC (not in system - posthumous)","active":true,"usgs":false}],"preferred":false,"id":853413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Palenscar, Kai","contributorId":297131,"corporation":false,"usgs":false,"family":"Palenscar","given":"Kai","email":"","affiliations":[{"id":64298,"text":"San Bernardino Valley Municipal Water District","active":true,"usgs":false}],"preferred":false,"id":853414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Chris","contributorId":297132,"corporation":false,"usgs":false,"family":"Jones","given":"Chris","affiliations":[{"id":64298,"text":"San Bernardino Valley Municipal Water District","active":true,"usgs":false}],"preferred":false,"id":853415,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Russell, Kerwin","contributorId":297133,"corporation":false,"usgs":false,"family":"Russell","given":"Kerwin","email":"","affiliations":[{"id":64299,"text":"Riverside-Corona Resource Conservation District","active":true,"usgs":false}],"preferred":false,"id":853416,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dyer, Heather","contributorId":297134,"corporation":false,"usgs":false,"family":"Dyer","given":"Heather","email":"","affiliations":[{"id":64298,"text":"San Bernardino Valley Municipal Water District","active":true,"usgs":false}],"preferred":false,"id":853417,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mills, Brett","contributorId":297135,"corporation":false,"usgs":false,"family":"Mills","given":"Brett","email":"","affiliations":[{"id":64299,"text":"Riverside-Corona Resource Conservation District","active":true,"usgs":false}],"preferred":false,"id":853418,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wulff, Marissa L. 0000-0003-0121-9066","orcid":"https://orcid.org/0000-0003-0121-9066","contributorId":229534,"corporation":false,"usgs":true,"family":"Wulff","given":"Marissa","email":"","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":853419,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"May, Jason 0000-0002-5699-2112","orcid":"https://orcid.org/0000-0002-5699-2112","contributorId":224991,"corporation":false,"usgs":false,"family":"May","given":"Jason","affiliations":[{"id":41015,"text":"Deceased (ex-USGS)","active":true,"usgs":false}],"preferred":false,"id":853420,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70228913,"text":"70228913 - 2022 - Partitioning ground motion uncertainty when conditioned on station data","interactions":[],"lastModifiedDate":"2022-03-28T16:55:10.476242","indexId":"70228913","displayToPublicDate":"2022-02-17T17:59:20","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"Partitioning ground motion uncertainty when conditioned on station data","docAbstract":"

Rapid estimation of earthquake ground shaking and proper accounting of associated uncertainties in such estimates when conditioned on strong‐motion station data or macroseismic intensity observations are crucial for downstream applications such as ground failure and loss estimation. The U.S. Geological Survey ShakeMap system is called upon to fulfill this objective in light of increased near‐real‐time access to strong‐motion records from around the world. Although the station data provide a direct constraint on shaking estimates at specific locations, these data also heavily influence the uncertainty quantification at other locations. This investigation demonstrates methods to partition the within‐ (phi) and between‐event (tau) uncertainty estimates under the observational constraints, especially when between‐event uncertainties are heteroscedastic. The procedure allows the end users of ShakeMap to create separate between‐ and within‐event realizations of ground‐motion fields for downstream loss modeling applications in a manner that preserves the structure of the underlying random spatial processes.

","language":"English","publisher":"Seismological Society of America.","doi":"10.1785/0120210177","usgsCitation":"Engler, D.T., Worden, C., Thompson, E.M., and Jaiswal, K.S., 2022, Partitioning ground motion uncertainty when conditioned on station data: Bulletin of the Seismological Society of America, v. 112, no. 2, p. 1060-1079, https://doi.org/10.1785/0120210177.","productDescription":"20 p.","startPage":"1060","endPage":"1079","ipdsId":"IP-133182","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":396463,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"112","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-01-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Engler, Davis T. 0000-0002-7133-3545","orcid":"https://orcid.org/0000-0002-7133-3545","contributorId":265962,"corporation":false,"usgs":true,"family":"Engler","given":"Davis","email":"","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":835872,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Worden, Charles 0000-0003-1181-685X cbworden@usgs.gov","orcid":"https://orcid.org/0000-0003-1181-685X","contributorId":152042,"corporation":false,"usgs":true,"family":"Worden","given":"Charles","email":"cbworden@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":835873,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Eric M. 0000-0002-6943-4806 emthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-6943-4806","contributorId":150897,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric","email":"emthompson@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":835874,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jaiswal, Kishor S. 0000-0002-5803-8007 kjaiswal@usgs.gov","orcid":"https://orcid.org/0000-0002-5803-8007","contributorId":149796,"corporation":false,"usgs":true,"family":"Jaiswal","given":"Kishor","email":"kjaiswal@usgs.gov","middleInitial":"S.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":835875,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228692,"text":"70228692 - 2022 - Demographic implications of lead poisoning for eagles across North America","interactions":[],"lastModifiedDate":"2022-02-22T16:29:21.509329","indexId":"70228692","displayToPublicDate":"2022-02-17T14:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"Demographic implications of lead poisoning for eagles across North America","docAbstract":"

Lead poisoning occurs worldwide in populations of predatory birds, but exposure rates and population impacts are known only from regional studies. We evaluated the lead exposure of 1210 bald and golden eagles from 38 US states across North America, including 620 live eagles. We detected unexpectedly high frequencies of lead poisoning of eagles, both chronic (46 to 47% of bald and golden eagles, as measured in bone) and acute (27 to 33% of bald eagles and 7 to 35% of golden eagles, as measured in liver, blood, and feathers). Frequency of lead poisoning was influenced by age and, for bald eagles, by region and season. Continent-wide demographic modeling suggests that poisoning at this level suppresses population growth rates for bald eagles by 3.8% (95% confidence interval: 2.5%, 5.4%) and for golden eagles by 0.8% (0.7%, 0.9%). Lead poisoning is an underappreciated but important constraint on continent-wide populations of these iconic protected species.

","language":"English","publisher":"AAAS","doi":"10.1126/science.abj3068","usgsCitation":"Slabe, V.A., Anderson, J.T., Millsap, B.A., Cooper, J.L., Harmata, A.R., Restani, M., Crandall, R.H., Bodenstein, B., Bloom, P.H., Booms, T.L., Buchweitz, J., Culver, R.C., Dickerson, K., Domenech, R., Dominguez-Villegas, E., Driscoll, D., Smith, B.W., Lockhart, M.J., McRuer, D., Miller, T.A., Ortiz, P., Rogers, K., Schwarz, M., Turley, N., Woodbridge, B., Finkelstein, M.E., Triana, C.A., DeSorbo, C.R., and Katzner, T., 2022, Demographic implications of lead poisoning for eagles across North America: Science, v. 375, no. 6582, p. 779-782, https://doi.org/10.1126/science.abj3068.","productDescription":"4 p.","startPage":"779","endPage":"782","ipdsId":"IP-129427","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":456,"text":"National Wildlife Health 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Executive Summary

Surveys and monitoring for the endangered Least Bell’s Vireo (Vireo bellii pusillus; vireo) were done at the San Luis Rey Flood Risk Management Project Area (Project Area) in the city of Oceanside, San Diego County, California, between April 4 and August 4, 2021. We completed four protocol surveys during the breeding season, supplemented by weekly territory monitoring visits. We identified a total of 122 territorial male vireos; 111 were confirmed as paired and 8 were confirmed as single males. For the remaining three territories, we were unable to confirm pair status. Five transient vireos were detected in 2021. The vireo population in the Project Area decreased by 24 percent from 2020 to 2021. Vireo populations decreased across San Diego County, with a 14-percent decrease documented at Marine Corps Base Camp Pendleton (MCBCP); a 5-percent decrease on the Otay River; a 6-percent decrease on the middle San Luis Rey River; and a 44-percent decrease at Marine Corps Air Station (although this decrease was likely exaggerated by large-scale vegetation clearing that occurred prior to the 2021 breeding season).

We used an index of treatment (Treatment Index) to evaluate the impact of on-going vegetation clearing on the Project Area vireo population. The Treatment Index measures the cumulative effect of vegetation treatment within a territory (since 2005) by using the percent area treated weighted by the number of years since treatment. We found that the Treatment Index for unoccupied habitat was more than two times that of occupied habitat, indicating that vireos selected less treated habitat in which to settle.

We monitored vireo nests at three general site types: (1) within the flood channel where exotic and native vegetation removal has occurred regularly (Channel), (2) three sites next to the flood channel where limited exotic and native vegetation removal has occurred (Off-channel), and (3) three sites that have been actively restored by planting native vegetation (Restoration). Nesting activity was monitored in 85 territories, 8 of which were occupied by single males. Of the completed nests, 39 percent were successful, and nest success did not differ among the three sites. Clutch size was greater in the Channel than the Off-channel sites, and the proportion of hatchlings that fledged was greater in Off-channel sites than Channel and Restoration sites. There were no other nest-level differences detected among site types, nor were there any differences in territory-level measures of productivity (young fledged per pair, double-brooding) among the sites. Overall, breeding success and productivity were slightly lower in 2021 than in 2020, with 66 percent of pairs fledgling at least one young and pairs fledging an average of 1.9±1.7 young.

To investigate if the cumulative years of treatment had an impact on vireo reproductive effort, we looked at the effects of the Treatment Index on reproductive parameters. Results from generalized linear models indicated that treatment did not have an effect on vireo nesting effort or the number of vireo fledglings per pair produced in 2021. Similarly, our analysis of nest survival for 2021 revealed no effect of Treatment Index on daily survival rate.

Analysis of vegetation data collected at vireo nests from 2006 to 2021 did not indicate an effect of vegetation at the nest on daily survival rate. We also found no differences in nest-placement characteristics among site types or successful/unsuccessful nests.

Red/arroyo willow (Salix laevigata or Salix lasiolepis) was the species most commonly selected for nesting by vireos in all three site types. Black willow (Salix gooddingii) and mule fat (Baccharis salicifolia) also were commonly used. Vireos used a wider variety of species for nesting in Channel and Off-channel sites (seven and eight species, respectively) compared with Restoration sites (three species).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221012","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Los Angeles District","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Houston, Alexandra , Allen, L.D., Pottinger, R.E., and Kus, B.E., 2022, Least Bell's Vireos and Southwestern Willow Flycatchers at the San Luis Rey flood risk management project area in San Diego County, California: Breeding activities and habitat use—2021 Annual report: U.S. Geological Survey Open-File Report 2022–1012, 79 p., https://doi.org/10.3133/ofr20221012.","productDescription":"viii, 79 p.","numberOfPages":"79","onlineOnly":"Y","ipdsId":"IP-135579","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":396128,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1012/covrthb.jpg"},{"id":396129,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1012/ofr20221012.pdf","text":"Report","size":"7 Mb"},{"id":396130,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1012/ofr20221012.xml"},{"id":396131,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1012/images"}],"country":"United States","state":"California","county":"San Diego County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -117.41500854492188,\n 33.19301824551205\n ],\n [\n -117.17056274414064,\n 33.19301824551205\n ],\n [\n -117.17056274414064,\n 33.288350918671775\n ],\n [\n -117.41500854492188,\n 33.288350918671775\n ],\n [\n -117.41500854492188,\n 33.19301824551205\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819

","tableOfContents":"","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2022-02-17","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Houston, Alexandra 0000-0002-8599-8265 ahouston@usgs.gov","orcid":"https://orcid.org/0000-0002-8599-8265","contributorId":139460,"corporation":false,"usgs":true,"family":"Houston","given":"Alexandra","email":"ahouston@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":835313,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Allen, Lisa D. 0000-0002-6147-3165 ldallen@usgs.gov","orcid":"https://orcid.org/0000-0002-6147-3165","contributorId":196789,"corporation":false,"usgs":true,"family":"Allen","given":"Lisa","email":"ldallen@usgs.gov","middleInitial":"D.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":835314,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pottinger, Ryan E. 0000-0002-0263-0300","orcid":"https://orcid.org/0000-0002-0263-0300","contributorId":212869,"corporation":false,"usgs":true,"family":"Pottinger","given":"Ryan","email":"","middleInitial":"E.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":835315,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kus, Barbara E. 0000-0002-3679-3044 barbara_kus@usgs.gov","orcid":"https://orcid.org/0000-0002-3679-3044","contributorId":3026,"corporation":false,"usgs":true,"family":"Kus","given":"Barbara E.","email":"barbara_kus@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":835316,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228755,"text":"70228755 - 2022 - The global environmental agenda urgently needs a semantic web of knowledge","interactions":[],"lastModifiedDate":"2022-02-18T15:10:45.197958","indexId":"70228755","displayToPublicDate":"2022-02-17T09:08:08","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5897,"text":"Environmental Evidence","active":true,"publicationSubtype":{"id":10}},"title":"The global environmental agenda urgently needs a semantic web of knowledge","docAbstract":"

Progress in key social-ecological challenges of the global environmental agenda (e.g., climate change, biodiversity conservation, Sustainable Development Goals) is hampered by a lack of integration and synthesis of existing scientific evidence. Facing a fast-increasing volume of data, information remains compartmentalized to pre-defined scales and fields, rarely building its way up to collective knowledge. Today's distributed corpus of human intelligence, including the scientific publication system, cannot be exploited with the efficiency needed to meet current evidence synthesis challenges; computer-based intelligence could assist this task. Artificial Intelligence (AI)-based approaches underlain by semantics and machine reasoning offer a constructive way forward, but depend on greater understanding of these technologies by the science and policy communities and coordination of their use. By labelling web-based scientific information to become readable by both humans and computers, machines can search, organize, reuse, combine and synthesize information quickly and in novel ways. Modern open science infrastructure—i.e., public data and model repositories—is a useful starting point, but without shared semantics and common standards for machine actionable data and models, our collective ability to build, grow, and share a collective knowledge base will remain limited. The application of semantic and machine reasoning technologies by a broad community of scientists and decision makers will favour open synthesis to contribute and reuse knowledge and apply it toward decision making.

","language":"English","publisher":"BMC","doi":"10.1186/s13750-022-00258-y","usgsCitation":"Balbi, S., Bagstad, K.J., Magrach, A., Sanz, M.J., Aguilar-Amuchastegui, N., Guipponi, C., and Villa, F., 2022, The global environmental agenda urgently needs a semantic web of knowledge: Environmental Evidence, v. 11, 5, 6 p., https://doi.org/10.1186/s13750-022-00258-y.","productDescription":"5, 6 p.","ipdsId":"IP-126413","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":448740,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13750-022-00258-y","text":"Publisher Index Page"},{"id":396173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Balbi, Stefano 0000-0001-8190-5968","orcid":"https://orcid.org/0000-0001-8190-5968","contributorId":208481,"corporation":false,"usgs":false,"family":"Balbi","given":"Stefano","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":835326,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bagstad, Kenneth J. 0000-0001-8857-5615 kjbagstad@usgs.gov","orcid":"https://orcid.org/0000-0001-8857-5615","contributorId":3680,"corporation":false,"usgs":true,"family":"Bagstad","given":"Kenneth","email":"kjbagstad@usgs.gov","middleInitial":"J.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":835327,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Magrach, Ainhoa 0000-0003-2155-7556","orcid":"https://orcid.org/0000-0003-2155-7556","contributorId":208482,"corporation":false,"usgs":false,"family":"Magrach","given":"Ainhoa","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":835328,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanz, Maria Jose 0000-0003-0471-3094","orcid":"https://orcid.org/0000-0003-0471-3094","contributorId":279661,"corporation":false,"usgs":false,"family":"Sanz","given":"Maria","email":"","middleInitial":"Jose","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":835329,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Aguilar-Amuchastegui, Naikoa 0000-0002-5072-0079","orcid":"https://orcid.org/0000-0002-5072-0079","contributorId":279662,"corporation":false,"usgs":false,"family":"Aguilar-Amuchastegui","given":"Naikoa","email":"","affiliations":[{"id":37767,"text":"World Wildlife Fund","active":true,"usgs":false}],"preferred":false,"id":835330,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guipponi, Carlo","contributorId":279664,"corporation":false,"usgs":false,"family":"Guipponi","given":"Carlo","email":"","affiliations":[{"id":47673,"text":"Ca’ Foscari University of Venice","active":true,"usgs":false}],"preferred":false,"id":835331,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Villa, Ferdinando 0000-0002-5114-3007","orcid":"https://orcid.org/0000-0002-5114-3007","contributorId":208486,"corporation":false,"usgs":false,"family":"Villa","given":"Ferdinando","email":"","affiliations":[{"id":32916,"text":"Basque Centre for Climate Change","active":true,"usgs":false}],"preferred":false,"id":835332,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70231644,"text":"70231644 - 2022 - Pollutant co-attenuation via in-stream interactions between mine drainage and municipal wastewater","interactions":[],"lastModifiedDate":"2022-05-18T14:00:27.633554","indexId":"70231644","displayToPublicDate":"2022-02-17T08:57:16","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3716,"text":"Water Research","onlineIssn":"1879-2448","printIssn":"0043-1354","active":true,"publicationSubtype":{"id":10}},"title":"Pollutant co-attenuation via in-stream interactions between mine drainage and municipal wastewater","docAbstract":"

Municipal wastewater (MWW) and mine drainage (MD) are common co-occurring sources of freshwater pollution in mining regions. The physicochemical interactions that occur after mixing MWW and MD in a waterway may improve downstream water quality of an impaired reach by reducing downstream concentrations of nutrients and metals (i.e., “co-attenuation”). A first-order stream (Bradley Run in central Pennsylvania), with coal MD and secondarily treated MWW entering the stream in the same location, was systematically monitored to determine in-stream water-quality dynamics. Monitored constituents included pH, nutrients (i.e., phosphorus and nitrogen), and metals (e.g., iron, aluminum, manganese). Mixing of the MWW, MD, and upstream water decreased concentrations of phosphate, aluminum, and iron by 94%, 91%, and 98%, respectively, relative to conservative mixtures at the 1400-m-downstream site. The pollutant co-attenuation resulted in water quality equivalent to that upstream of the pollutant sources and improved the phosphorus-based trophic status of the stream. Geochemical models indicate the primary mechanisms for P attenuation in the studied stream were precipitation as variscite (AlPO4:2H2O) or amorphous AlPO4 plus adsorption to hydrous ferric oxide, despite a much greater abundance of hydrous aluminum oxide. The results presented in this study suggest that in-stream mixing of MD with untreated or secondarily treated MWW may be an important, overlooked factor affecting downstream transport of common pollutants in mining regions. Decreased metals loading and increased pH resulting from natural attenuation and remediation of MD could affect the potential for retention of phosphate by stream sediment and could lead to the release of nutrients from legacy accumulations, highlighting the potential need to address high-nutrient discharges (e.g., improved MWW treatment) in concert with MD remediation.

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III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":207249,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":843215,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tasker, Travis L.","contributorId":211456,"corporation":false,"usgs":false,"family":"Tasker","given":"Travis","email":"","middleInitial":"L.","affiliations":[{"id":38248,"text":"Civil and Environmental Engineering Department, The Pennsylvania State University,","active":true,"usgs":false}],"preferred":false,"id":843216,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Strosnider, William H. J.","contributorId":291845,"corporation":false,"usgs":false,"family":"Strosnider","given":"William","email":"","middleInitial":"H. J.","affiliations":[{"id":62772,"text":"Baruch Institute for Marine and Coastal Sciences, University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":843217,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70237304,"text":"70237304 - 2022 - Effects of weather variation on waterfowl migration: Lessons from a continental-scale generalizable avian movement and energetics model","interactions":[],"lastModifiedDate":"2022-10-07T12:24:33.871983","indexId":"70237304","displayToPublicDate":"2022-02-17T07:19:13","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Effects of weather variation on waterfowl migration: Lessons from a continental-scale generalizable avian movement and energetics model","docAbstract":"

We developed a continental energetics-based model of daily mallard (Anas platyrhynchos) movement during the non-breeding period (September to May) to predict year-specific migration and overwinter occurrence. The model approximates movements and stopovers as functions of metabolism and weather, in terms of temperature and frozen precipitation (i.e., snow). The model is a Markov process operating at the population level and is parameterized through a review of literature. We applied the model to 62 years of daily weather data for the non-breeding period. The average proportion of available habitat decreased as weather severity increased, with mortality decreasing as the proportion of available habitat increased. The most commonly used locations during the course of the non-breeding period were generally consistent across years, with the most inter-annual variation present in the overwintering area. Our model revealed that the distribution of mallards on the landscape changed more dramatically when the variation in daily available habitat was greater. The main routes for avian migration in North America were predicted by our simulations: the Atlantic, Mississippi, Central, and Pacific flyways. Our model predicted an average of 77.4% survivorship for the non-breeding period across all years (range = 76.4%–78.4%), with lowest survivorship during autumn (90.5 ± 1.4%), intermediate survivorship in winter (91.8 ± 0.7%), and greatest survivorship in spring (93.6 ± 1.1%). We provide the parameters necessary for exploration within and among other taxa to leverage the generalizability of this migration model to a broader expanse of bird species, and across a range of climate change and land use/land cover change scenarios.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.8617","usgsCitation":"Aagaard, K., Lonsdorf, E.V., and Thogmartin, W.E., 2022, Effects of weather variation on waterfowl migration: Lessons from a continental-scale generalizable avian movement and energetics model: Ecology and Evolution, v. 12, no. 2, e8617, 17 p., https://doi.org/10.1002/ece3.8617.","productDescription":"e8617, 17 p.","ipdsId":"IP-098938","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":448743,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.8617","text":"External Repository"},{"id":408084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Aagaard, Kevin 0000-0003-0756-2172","orcid":"https://orcid.org/0000-0003-0756-2172","contributorId":297403,"corporation":false,"usgs":false,"family":"Aagaard","given":"Kevin","affiliations":[{"id":40249,"text":"former UMESC employee","active":true,"usgs":false}],"preferred":false,"id":854092,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lonsdorf, Eric V.","contributorId":149495,"corporation":false,"usgs":false,"family":"Lonsdorf","given":"Eric","email":"","middleInitial":"V.","affiliations":[{"id":17752,"text":"Chicago Botanic Garden","active":true,"usgs":false}],"preferred":false,"id":854094,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thogmartin, Wayne E. 0000-0002-2384-4279 wthogmartin@usgs.gov","orcid":"https://orcid.org/0000-0002-2384-4279","contributorId":2545,"corporation":false,"usgs":true,"family":"Thogmartin","given":"Wayne","email":"wthogmartin@usgs.gov","middleInitial":"E.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":854096,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228765,"text":"70228765 - 2022 - Contaminant fluxes across ecosystems mediated by aquatic insects","interactions":[],"lastModifiedDate":"2022-02-18T13:21:54.092784","indexId":"70228765","displayToPublicDate":"2022-02-17T07:18:56","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5191,"text":"Current Opinion in Insect Science","active":true,"publicationSubtype":{"id":10}},"title":"Contaminant fluxes across ecosystems mediated by aquatic insects","docAbstract":"

Metals and organic contaminants in aquatic systems affect the coupling of aquatic and terrestrial ecosystems through two pathways: contaminant-induced effects on insect emergence and emergence-induced contaminant transfer. Consequently, the impact of aquatic contaminants on terrestrial ecosystems can be driven by modifications in the quantity and quality of adult aquatic insects serving as prey or contaminants entering terrestrial food webs as part of the diet of terrestrial predators. Here, we provide an overview of recent advances in the field, separating metals from organic contaminants due to their differential propensity to bioaccumulate and thus their potential contribution to either of the two pathways. Finally, this review highlights the knowledge gap in the relative impact of these pathways on terrestrial insectivores.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.cois.2022.100885","usgsCitation":"Bundschuh, M., Pietz, S., Roodt, A.P., and Kraus, J.M., 2022, Contaminant fluxes across ecosystems mediated by aquatic insects: Current Opinion in Insect Science, v. 50, 100885, 6 p., https://doi.org/10.1016/j.cois.2022.100885.","productDescription":"100885, 6 p.","ipdsId":"IP-135406","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":448747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.cois.2022.100885","text":"Publisher Index Page"},{"id":396165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bundschuh, Mirco","contributorId":205001,"corporation":false,"usgs":false,"family":"Bundschuh","given":"Mirco","email":"","affiliations":[],"preferred":false,"id":835353,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pietz, Sebastian","contributorId":279686,"corporation":false,"usgs":false,"family":"Pietz","given":"Sebastian","email":"","affiliations":[{"id":57337,"text":"University of Koblenz-Landau","active":true,"usgs":false}],"preferred":false,"id":835354,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roodt, Alexis P.","contributorId":279687,"corporation":false,"usgs":false,"family":"Roodt","given":"Alexis","email":"","middleInitial":"P.","affiliations":[{"id":57337,"text":"University of Koblenz-Landau","active":true,"usgs":false}],"preferred":false,"id":835355,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kraus, Johanna M. 0000-0002-9513-4129 jkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-9513-4129","contributorId":4834,"corporation":false,"usgs":true,"family":"Kraus","given":"Johanna","email":"jkraus@usgs.gov","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835352,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70228776,"text":"70228776 - 2022 - Atlantic circulation change still uncertain","interactions":[],"lastModifiedDate":"2022-03-18T15:13:49.075707","indexId":"70228776","displayToPublicDate":"2022-02-17T06:44:03","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"Atlantic circulation change still uncertain","docAbstract":"

Deep oceanic overturning circulation in the Atlantic (Atlantic Meridional Overturning Circulation (AMOC)) is projected to decrease in the future in response to anthropogenic warming. Caesar et al.1 argue that an AMOC slowdown started in the nineteenth century and intensified during the mid-twentieth century. Although the argument and selected evidence proposed have some merits, we find that their conclusions might be different if a more complete array of data available in the North Atlantic region is considered. We argue that the strength of AMOC over recent centuries is still poorly constrained and the expected slowdown may not have started yet.

Recently, Moffa-Sánchez et al.2 compiled a comprehensive set of palaeoclimate proxy data from the North Atlantic and Arctic regions using objective criteria to identify high-quality datasets of ocean conditions that span the past two millennia (Fig. 1). Although no direct (singular) proxy for AMOC exists, the palaeoceanographic proxy data compiled by Moffa-Sánchez et al.2 highlight the spatial and temporal complexities of the ocean state in modern times and the recent past. When all the available proxy records potentially related to AMOC variability and twentieth century observational datasets are considered, the time history of the AMOC system becomes less certain. In contrast, selecting only a subset of proxy records that share similar trends, as performed by Caesar et al.1, provides an incomplete perspective on AMOC changes through time.

","language":"English","publisher":"Nature","doi":"10.1038/s41561-022-00896-4","usgsCitation":"Kilbourne, K., Wanamaker, A., Moffa-Sanchez, P., Reynolds, D.J., Amrhein, D.E., Butler, P.G., Goes, M., Jansen, M., Little, C.M., Mette, M.J., Moreno-Chamarro, E., Ortega, P., Otto-Bliesner, B., Rossby, T., Scourse, J., and Whitney, N.M., 2022, Atlantic circulation change still uncertain: Nature Geoscience, v. 15, p. 165-167, https://doi.org/10.1038/s41561-022-00896-4.","productDescription":"3 p.","startPage":"165","endPage":"167","ipdsId":"IP-129964","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467199,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://digitalcommons.uri.edu/gsofacpubs/2234","text":"External Repository"},{"id":396160,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Greenland, Iceland, Ireland, Morocco, Norway, Scotland, Wales","otherGeospatial":"Atlantic Ocean","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.671875,\n 31.353636941500987\n ],\n [\n -82.265625,\n 26.745610382199022\n ],\n [\n -8.7890625,\n 29.84064389983441\n ],\n [\n -10.8984375,\n 38.272688535980976\n ],\n [\n -7.734374999999999,\n 45.336701909968134\n ],\n [\n -4.21875,\n 53.9560855309879\n ],\n [\n 3.515625,\n 62.431074232920906\n ],\n [\n 9.84375,\n 64.92354174306496\n ],\n [\n 15.468749999999998,\n 68.9110048456202\n ],\n [\n 14.765625,\n 79.56054626376367\n ],\n [\n -33.75,\n 78.27820145542813\n ],\n [\n -61.52343749999999,\n 73.32785809840696\n ],\n [\n -65.390625,\n 59.355596110016315\n ],\n [\n -75.5859375,\n 44.59046718130883\n ],\n [\n -83.671875,\n 31.353636941500987\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"15","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Kilbourne, K. 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J.","contributorId":279711,"corporation":false,"usgs":false,"family":"Reynolds","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":57351,"text":"Centre for Geography and Environmental Sciences, University of Exeter, Penryn, Cornwall, TR10 9EZ, UK","active":true,"usgs":false}],"preferred":false,"id":835389,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Amrhein, Daniel E.","contributorId":279712,"corporation":false,"usgs":false,"family":"Amrhein","given":"Daniel","email":"","middleInitial":"E.","affiliations":[{"id":57353,"text":"Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":835390,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Butler, Paul G.","contributorId":279713,"corporation":false,"usgs":false,"family":"Butler","given":"Paul","email":"","middleInitial":"G.","affiliations":[{"id":57351,"text":"Centre for Geography and Environmental Sciences, University of Exeter, Penryn, Cornwall, TR10 9EZ, UK","active":true,"usgs":false}],"preferred":false,"id":835391,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Goes, Marlos","contributorId":279714,"corporation":false,"usgs":false,"family":"Goes","given":"Marlos","email":"","affiliations":[{"id":57354,"text":"Cooperative Institute of Marine and Atmospheric Studies, University of Miami, and Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, USA","active":true,"usgs":false}],"preferred":false,"id":835392,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jansen, Malte","contributorId":279715,"corporation":false,"usgs":false,"family":"Jansen","given":"Malte","email":"","affiliations":[{"id":57355,"text":"Department of the Geophysical Sciences, The University of Chicago, Chicago, IL, 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Eduardo","contributorId":279718,"corporation":false,"usgs":false,"family":"Moreno-Chamarro","given":"Eduardo","affiliations":[{"id":35582,"text":"Barcelona Supercomputing Center, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":835396,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ortega, Pablo","contributorId":279719,"corporation":false,"usgs":false,"family":"Ortega","given":"Pablo","email":"","affiliations":[{"id":35582,"text":"Barcelona Supercomputing Center, Barcelona, Spain","active":true,"usgs":false}],"preferred":false,"id":835397,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Otto-Bliesner, Bette L.","contributorId":279720,"corporation":false,"usgs":false,"family":"Otto-Bliesner","given":"Bette L.","affiliations":[{"id":57353,"text":"Climate and Global Dynamics Laboratory, National Center for Atmospheric Research, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":835398,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Rossby, Thomas","contributorId":279721,"corporation":false,"usgs":false,"family":"Rossby","given":"Thomas","email":"","affiliations":[{"id":57357,"text":"Graduate School of Oceanography, University of Rhode Island, USA","active":true,"usgs":false}],"preferred":false,"id":835399,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Scourse, James","contributorId":279722,"corporation":false,"usgs":false,"family":"Scourse","given":"James","email":"","affiliations":[{"id":57351,"text":"Centre for Geography and Environmental Sciences, University of Exeter, Penryn, Cornwall, TR10 9EZ, UK","active":true,"usgs":false}],"preferred":false,"id":835400,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Whitney, Nina M.","contributorId":279723,"corporation":false,"usgs":false,"family":"Whitney","given":"Nina","email":"","middleInitial":"M.","affiliations":[{"id":26904,"text":"Woods Hole Oceanographic Institution, USA","active":true,"usgs":false}],"preferred":false,"id":835401,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70228902,"text":"70228902 - 2022 - Wildfire probability models calibrated using past human and lightning ignition patterns can inform mitigation of post-fire hydrologic hazards","interactions":[],"lastModifiedDate":"2022-02-23T12:42:18.701658","indexId":"70228902","displayToPublicDate":"2022-02-17T06:40:06","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1799,"text":"Geomatics, Natural Hazards and Risk","active":true,"publicationSubtype":{"id":10}},"title":"Wildfire probability models calibrated using past human and lightning ignition patterns can inform mitigation of post-fire hydrologic hazards","docAbstract":"

Most wildfires are started by humans, however, geographic variation of potential ignition sources is not often explicitly accounted for in wildfire simulation modelling or risk assessments. In this study, we investigated how patterns of human and lightning ignitions can influence modelled fire simulations and demonstrate how these data can be used to assess post-fire flooding and sediment transport. We used historical ignition data (1992–2015) to characterize ignition patterns for thirteen mountain ranges in southern Arizona, United States, and developed FlamMap burn probability (BP) models for three scenarios: human ignition, lightning ignition, and random ignition. We then developed a watershed-scale case study assessing the impacts of ignition scenarios on post-fire hydrology using the KINEROS2 model that simulates runoff and erosion. BP models illustrated considerable differences in landscape fire risk between the three ignition scenarios. Results from the watershed model indicate the greatest impacts from the post-fire human ignition scenario, with a 10-fold increase in sediment discharge and four-fold increase in peak flow compared to pre-fire conditions. Our results show that consideration of ignition source and location is important for assessing fire risk, and our modelling approach provides a planning mechanism to identify locations most at risk to fire-induced flood hazards, where prevention and mitigation activities can be focused.

","language":"English","publisher":"Taylor and Frances","doi":"10.1080/19475705.2022.2039787","usgsCitation":"Villarreal, M.L., Norman, L., Yao, E., and Conrad, C., 2022, Wildfire probability models calibrated using past human and lightning ignition patterns can inform mitigation of post-fire hydrologic hazards: Geomatics, Natural Hazards and Risk, v. 13, no. 1, p. 568-590, https://doi.org/10.1080/19475705.2022.2039787.","productDescription":"23 p.","startPage":"568","endPage":"590","ipdsId":"IP-134069","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":448754,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/19475705.2022.2039787","text":"Publisher Index Page"},{"id":435962,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FYHDWZ","text":"USGS data release","linkHelpText":"Burn probability models calibrated using past human and lightning ignition patterns in the Madrean Sky Islands, Arizona"},{"id":396331,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"1","noUsgsAuthors":false,"publicationDate":"2022-02-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835829,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835830,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yao, Erika","contributorId":280000,"corporation":false,"usgs":false,"family":"Yao","given":"Erika","email":"","affiliations":[{"id":57405,"text":"Contractor to Western Geographic Science Center","active":true,"usgs":false}],"preferred":false,"id":835831,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Conrad, Caroline Rose","contributorId":280001,"corporation":false,"usgs":true,"family":"Conrad","given":"Caroline Rose","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":835832,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70230642,"text":"70230642 - 2022 - How similar was the 1983 Mw 6.9 Borah Peak earthquake rupture to its surface-faulting predecessors along the northern Lost River fault zone (Idaho, USA)?","interactions":[],"lastModifiedDate":"2022-11-16T16:22:12.894355","indexId":"70230642","displayToPublicDate":"2022-02-16T09:42:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1786,"text":"Geological Society of America Bulletin","active":true,"publicationSubtype":{"id":10}},"displayTitle":"How similar was the 1983 Mw 6.9 Borah Peak earthquake rupture to its surface-faulting predecessors along the northern Lost River fault zone (Idaho, USA)?","title":"How similar was the 1983 Mw 6.9 Borah Peak earthquake rupture to its surface-faulting predecessors along the northern Lost River fault zone (Idaho, USA)?","docAbstract":"

We excavated trenches at two paleoseismic sites bounding a trans-basin bedrock ridge (the Willow Creek Hills) along the northern Lost River fault zone to explore the uniqueness of the 1983 Mw 6.9 Borah Peak earthquake compared to its prehistoric predecessors. At the Sheep Creek site on the southernmost Warm Springs section, two earthquakes occurred at 9.8−14.0 ka (95% confidence) and 6.5−7.1 ka; each had ∼1.9 m of vertical displacement. About 4 km to the southeast, across the Willow Creek Hills, two ruptures at the Arentson Gulch site on the northernmost Thousand Springs section occurred at 9.0−14.7 ka and 6.1−7.5 ka with ∼1.9 m of vertical displacement each. We synthesize these and previous paleoseismic results into a model of five postglacial (<15 ka) ruptures along a ∼65 km reach of the northern Lost River fault zone. Our results show that the Borah Peak earthquake (34 km; 0.9 m mean displacement) was unique compared to previous ruptures that had both longer and shorter rupture lengths (∼25−38 km), more displacement (mean of ∼1.3−1.4 m), and equal or greater magnitude (Mw 6.9−7.1) than that in the 1983 earthquake. These ruptures support a hypothesis of variable rupture length and displacement on the northern Lost River fault zone and show that predecessors to the 1983 rupture have passed unimpeded through the Willow Creek Hills. Our work demonstrates that normal faults are capable of producing variable spatial-temporal patterns of rupture that, together with comparisons of fault geometry and historical rupture length, improve our understanding of fault segmentation and help inform models of earthquake rupture probability.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/B36144.1","usgsCitation":"DuRoss, C., Briggs, R.W., Gold, R.D., Hatem, A.E., Elliott, A.J., Delano, J., Medina-Cascales, I., Gray, H., Mahan, S.A., Nicovich, S., Lifton, Z., Kleber, E.J., McDonald, G.N., Hiscock, A., Bunds, M., and Reitman, N.G., 2022, How similar was the 1983 Mw 6.9 Borah Peak earthquake rupture to its surface-faulting predecessors along the northern Lost River fault zone (Idaho, USA)?: Geological Society of America Bulletin, v. 134, no. 11-12, p. 2767-2789, https://doi.org/10.1130/B36144.1.","productDescription":"23 p.","startPage":"2767","endPage":"2789","ipdsId":"IP-132673","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":448759,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/Supplemental_Material_How_similar_was_the_1983_Mw_6_9_Borah_Peak_earthquake_rupture_to_its_surface-faulting_predecessors_along_the_northern_Lost_River_fault_zone_Idaho_USA_/18287984","text":"External Repository"},{"id":399084,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"northern Lost River fault zone","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114,\n 44\n ],\n [\n -112,\n 44\n ],\n [\n -112,\n 43\n ],\n [\n -114,\n 43\n ],\n [\n -114,\n 44\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"134","issue":"11-12","noUsgsAuthors":false,"publicationDate":"2022-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"DuRoss, Christopher 0000-0002-6963-7451 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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":840964,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840965,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elliott, Austin John 0000-0001-5924-7268","orcid":"https://orcid.org/0000-0001-5924-7268","contributorId":248824,"corporation":false,"usgs":true,"family":"Elliott","given":"Austin","email":"","middleInitial":"John","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":840966,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Delano, Jaime 0000-0003-2601-2600","orcid":"https://orcid.org/0000-0003-2601-2600","contributorId":225594,"corporation":false,"usgs":false,"family":"Delano","given":"Jaime","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":840967,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Medina-Cascales, Ivan","contributorId":290418,"corporation":false,"usgs":false,"family":"Medina-Cascales","given":"Ivan","email":"","affiliations":[],"preferred":false,"id":840968,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":840969,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Mahan, Shannon A. 0000-0001-5214-7774 smahan@usgs.gov","orcid":"https://orcid.org/0000-0001-5214-7774","contributorId":147159,"corporation":false,"usgs":true,"family":"Mahan","given":"Shannon","email":"smahan@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":840970,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nicovich, Sylvia","contributorId":210054,"corporation":false,"usgs":false,"family":"Nicovich","given":"Sylvia","affiliations":[{"id":38060,"text":"Department of Earth Sciences, Montana State University, Bozeman, MT","active":true,"usgs":false}],"preferred":false,"id":840971,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Lifton, Zachery","contributorId":290420,"corporation":false,"usgs":false,"family":"Lifton","given":"Zachery","email":"","affiliations":[],"preferred":false,"id":840972,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Kleber, Emily J.","contributorId":254373,"corporation":false,"usgs":false,"family":"Kleber","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":17626,"text":"Utah Geological Survey","active":true,"usgs":false}],"preferred":false,"id":840973,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"McDonald, Greg N.","contributorId":198715,"corporation":false,"usgs":false,"family":"McDonald","given":"Greg","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":840974,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Hiscock, Adam","contributorId":195215,"corporation":false,"usgs":false,"family":"Hiscock","given":"Adam","affiliations":[],"preferred":false,"id":840975,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bunds, Mike","contributorId":290422,"corporation":false,"usgs":false,"family":"Bunds","given":"Mike","affiliations":[],"preferred":false,"id":840976,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Reitman, Nadine G. 0000-0002-6730-2682 nreitman@usgs.gov","orcid":"https://orcid.org/0000-0002-6730-2682","contributorId":5816,"corporation":false,"usgs":true,"family":"Reitman","given":"Nadine","email":"nreitman@usgs.gov","middleInitial":"G.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":840977,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70228757,"text":"70228757 - 2022 - Mapping benthic algae and cyanobacteria in river channels from aerial photographs and satellite images: A proof-of-concept investigation on the Buffalo National River, AR, USA","interactions":[],"lastModifiedDate":"2022-02-18T15:26:51.293021","indexId":"70228757","displayToPublicDate":"2022-02-16T09:19:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Mapping benthic algae and cyanobacteria in river channels from aerial photographs and satellite images: A proof-of-concept investigation on the Buffalo National River, AR, USA","docAbstract":"

Although rivers are of immense practical, aesthetic, and recreational value, these aquatic habitats are particularly sensitive to environmental changes. Increasingly, changes in streamflow and water quality are resulting in blooms of bottom-attached (benthic) algae, also known as periphyton, which have become widespread in many water bodies of US national parks. Because these blooms degrade visitor experiences and threaten human and ecosystem health, improved methods of characterizing benthic algae are needed. This study evaluated the potential utility of remote sensing techniques for mapping variations in algal density in shallow, clear-flowing rivers. As part of an initial proof-of-concept investigation, field measurements of water depth and percent cover of benthic algae were collected from two reaches of the Buffalo National River along with aerial photographs and multispectral satellite images. Applying a band ratio algorithm to these data yielded reliable depth estimates, although a shallow bias and moderate level of precision were observed. Spectral distinctions among algal percent cover values ranging from 0 to 100% were subtle and became only slightly more pronounced when the data were aggregated to four ordinal levels. A bagged trees machine learning model trained using the original spectral bands and image-derived depth estimates as predictor variables was used to produce classified maps of algal density. The spatial and temporal patterns depicted in these maps were reasonable but overall classification accuracies were modest, up to 64.6%, due to a lack of spectral detail. To further advance remote sensing of benthic algae and other periphyton, future studies could adopt hyperspectral approaches and more quantitative, continuous metrics such as biomass.

","language":"English","publisher":"MDPI","doi":"10.3390/rs14040953","usgsCitation":"Legleiter, C.J., and Hodges, S.W., 2022, Mapping benthic algae and cyanobacteria in river channels from aerial photographs and satellite images: A proof-of-concept investigation on the Buffalo National River, AR, USA: Remote Sensing, v. 14, no. 4, 953, 28 p., https://doi.org/10.3390/rs14040953.","productDescription":"953, 28 p.","ipdsId":"IP-136035","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":448762,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs14040953","text":"Publisher Index Page"},{"id":435963,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J5QXDJ","text":"USGS data release","linkHelpText":"Remotely sensed data and field measurements of water depth and percent cover of benthic algae from two reaches of the Buffalo National River in Arkansas acquired in August 2021"},{"id":396175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Buffalo National River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.438720703125,\n 35.917971791312816\n ],\n [\n -92.00225830078125,\n 35.917971791312816\n ],\n [\n -92.00225830078125,\n 36.22876574685929\n ],\n [\n -93.438720703125,\n 36.22876574685929\n ],\n [\n -93.438720703125,\n 35.917971791312816\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2022-02-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Legleiter, Carl J. 0000-0003-0940-8013 cjl@usgs.gov","orcid":"https://orcid.org/0000-0003-0940-8013","contributorId":169002,"corporation":false,"usgs":true,"family":"Legleiter","given":"Carl","email":"cjl@usgs.gov","middleInitial":"J.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":835333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodges, Shawn W 0000-0002-8950-7232","orcid":"https://orcid.org/0000-0002-8950-7232","contributorId":279667,"corporation":false,"usgs":false,"family":"Hodges","given":"Shawn","email":"","middleInitial":"W","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":835334,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70229665,"text":"70229665 - 2022 - Managing multiple species with conflicting needs in the Greater Everglades","interactions":[],"lastModifiedDate":"2023-06-09T13:50:36.683544","indexId":"70229665","displayToPublicDate":"2022-02-16T08:10:29","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Managing multiple species with conflicting needs in the Greater Everglades","docAbstract":"

Given limited funding, natural resources decision making is riddled with tradeoffs, including which species or landscapes to prioritize for management action. Florida’s Everglades wetland is home to numerous indicator species, some of which are endangered. But with a multitude of species comes differing hydrologic requirements to yield appropriate foraging and breeding conditions for each. The Everglades ecosystem is highly managed, with water being moved across the landscape to meet the habitat and reproductive needs of species of concern. Predictive modeling can help water managers understand potential consequences to targeted water conditions. EverForecast is a novel spatially explicit, hydrologic, and ecological operational forecast developed to inform conservation management decisions. Not only does EverForecast provide probable near-term water conditions, but also predicted species responses to those hydrologic conditions. Using examples from two focal regions of the Everglades, we show the magnitude of impacts to a suite of species and an almost 70% decline in suitable conditions for one species when prioritizing water management to meet the needs of another species. Although EverForecast is a relatively new decision support tool, its hydrologic outputs are already commonly used to make water management recommendations because it provides near-term hydrologic forecasts that scientists and managers need for water operations decision making. Because species management decisions have historically been made to target a single species at a time, it may take longer for full utility of EverForecast’s ability to quantify tradeoffs among species to become integrated into decision making.

","language":"English","publisher":"Elsevier Ltd.","doi":"10.1016/j.ecolind.2022.108669","usgsCitation":"Romanach, S., Haider, S., Hackett, C.E., McKelvy, M., and Pearlstine, L.G., 2022, Managing multiple species with conflicting needs in the Greater Everglades: Ecological Indicators, v. 136, 108669, 9 p.; Data Release, https://doi.org/10.1016/j.ecolind.2022.108669.","productDescription":"108669, 9 p.; Data Release","ipdsId":"IP-133633","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":448765,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2022.108669","text":"Publisher Index Page"},{"id":397054,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417847,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NW74W6"}],"country":"United States","state":"Florida","otherGeospatial":"Greater Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.7657470703125,\n 25.08062377244484\n ],\n [\n -80.1177978515625,\n 25.08062377244484\n ],\n [\n -80.1177978515625,\n 26.740704807127834\n ],\n [\n -81.7657470703125,\n 26.740704807127834\n ],\n [\n -81.7657470703125,\n 25.08062377244484\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"136","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":220761,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":837866,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haider, Saira M. 0000-0001-9306-3454","orcid":"https://orcid.org/0000-0001-9306-3454","contributorId":206253,"corporation":false,"usgs":true,"family":"Haider","given":"Saira","middleInitial":"M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":837867,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackett, Caitlin E. 0000-0003-3934-4321","orcid":"https://orcid.org/0000-0003-3934-4321","contributorId":261435,"corporation":false,"usgs":true,"family":"Hackett","given":"Caitlin","email":"","middleInitial":"E.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":837868,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKelvy, Mark 0000-0001-5465-2571 mckelvym@usgs.gov","orcid":"https://orcid.org/0000-0001-5465-2571","contributorId":4865,"corporation":false,"usgs":true,"family":"McKelvy","given":"Mark","email":"mckelvym@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":837869,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pearlstine, Leonard G.","contributorId":34751,"corporation":false,"usgs":false,"family":"Pearlstine","given":"Leonard","email":"","middleInitial":"G.","affiliations":[{"id":12462,"text":"U.S. Department of the Interior, National Park Service","active":true,"usgs":false}],"preferred":false,"id":837870,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ]}