No abstract available.
","conferenceTitle":"85th EAGE Annual Conference & Exhibition","conferenceDate":"June 10-13, 2024","conferenceLocation":"Oslo, Norway","language":"English","publisher":"European Association of Geoscientists & Engineers","doi":"10.3997/2214-4609.2024101754","usgsCitation":"Ellis, G.S., Palmowski, D., and Lefeuvre, N., 2024, Hydrogen systems and reactive transport modelling: An approach to natural hydrogen exploration, 85th EAGE Annual Conference & Exhibition, v. 2024, Oslo, Norway, June 10-13, 2024, 5 p., https://doi.org/10.3997/2214-4609.2024101754.","productDescription":"5 p.","ipdsId":"IP-161901","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":485990,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2024","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ellis, Geoffrey S. 0000-0003-4519-3320 gsellis@usgs.gov","orcid":"https://orcid.org/0000-0003-4519-3320","contributorId":1058,"corporation":false,"usgs":true,"family":"Ellis","given":"Geoffrey","email":"gsellis@usgs.gov","middleInitial":"S.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":937090,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmowski, Daniel","contributorId":355192,"corporation":false,"usgs":false,"family":"Palmowski","given":"Daniel","affiliations":[{"id":84722,"text":"Terranta","active":true,"usgs":false}],"preferred":false,"id":937091,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lefeuvre, Nicolas","contributorId":355193,"corporation":false,"usgs":false,"family":"Lefeuvre","given":"Nicolas","affiliations":[{"id":27334,"text":"Universite Grenoble Alpes","active":true,"usgs":false}],"preferred":false,"id":937092,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257513,"text":"70257513 - 2024 - Human activity drives establishment, but not invasion, of non-native plants on islands","interactions":[],"lastModifiedDate":"2024-09-06T14:50:40.411326","indexId":"70257513","displayToPublicDate":"2024-06-10T07:40:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1445,"text":"Ecography","active":true,"publicationSubtype":{"id":10}},"title":"Human activity drives establishment, but not invasion, of non-native plants on islands","docAbstract":"Island ecosystems are particularly susceptible to the impacts of invasive species. Many rare and endangered species that are endemic to islands are negatively affected by invasions. Past studies have shown that the establishment of non-native species on islands is related to native plant richness, habitat heterogeneity, island age, human activity, and climate. However, it is unclear whether the factors promoting establishment (i.e. the formation of self-sustaining populations) also promote subsequent invasion (i.e. spread and negative impacts). Using data from 4308 non-native plant species across 46 islands and archipelagos globally, we examined which biogeographic characteristics influence established and invasive plant richness using generalized linear models nested within piecewise structural equation models. Our results indicate that anthropogenic land use (i.e. human modification) is strongly associated with establishment but not invasion, that climate (maximum monthly temperature) is strongly associated with invasion but not establishment, and that habitat heterogeneity (represented by maximum elevation and island area) is strongly associated with both establishment and invasion. Island isolation explains native plant richness well, but is not associated with established and invasive plant richness, likely due to anthropogenic introductions. We conclude that anthropogenic land use on islands is likely to be a proxy for the number of introductions (i.e. propagule pressure), which is more important for establishment than invasion. Conversely, islands with more diverse habitats and favorable (warm) climate conditions are likely to contain more available niche space (i.e. ‘vacant niches’) which create opportunities for both establishment and invasion. By evaluating multiple stages of the invasion process, we differentiate between the biogeographic characteristics that influence plant establishment (which does not necessarily lead to ecological impacts) versus those that influence subsequent plant invasion (which does lead to negative impacts).
","language":"English","publisher":"Wiley","doi":"10.1111/ecog.07379","usgsCitation":"Pfadenhauer, W.G., DiRenzo, G.V., and Bradley, B.A., 2024, Human activity drives establishment, but not invasion, of non-native plants on islands: Ecography, e07379, 14 p., https://doi.org/10.1111/ecog.07379.","productDescription":"e07379, 14 p.","ipdsId":"IP-159338","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":439421,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/ecog.07379","text":"Publisher Index Page"},{"id":434944,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XES5OI","text":"USGS data release","linkHelpText":"Code for Human activity drives establishment, but not invasion, of non-native plants on islands"},{"id":433550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pfadenhauer, William G.","contributorId":343029,"corporation":false,"usgs":false,"family":"Pfadenhauer","given":"William","email":"","middleInitial":"G.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":910581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DiRenzo, Graziella Vittoria 0000-0001-5264-4762","orcid":"https://orcid.org/0000-0001-5264-4762","contributorId":243404,"corporation":false,"usgs":true,"family":"DiRenzo","given":"Graziella","email":"","middleInitial":"Vittoria","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":910582,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bradley, Bethany A.","contributorId":343032,"corporation":false,"usgs":false,"family":"Bradley","given":"Bethany","email":"","middleInitial":"A.","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":910583,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257875,"text":"70257875 - 2024 - Evolutionary ecology of masting: Mechanisms, models, and climate change","interactions":[],"lastModifiedDate":"2024-09-11T16:27:42.339891","indexId":"70257875","displayToPublicDate":"2024-06-10T07:10:30","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3653,"text":"Trends in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Evolutionary ecology of masting: Mechanisms, models, and climate change","docAbstract":"We evaluate Cascadia subduction ground-motion models (GMMs), considered for the 2023 US National Seismic Hazard Model (NSHM) update, by comparing observations to model predictions. The observations comprise regional recordings from intraslab earthquakes, including contributions from 2021 and 2022 events in southern Cascadia and global records from interface earthquakes. Since the 2018 NSHM update, new GMMs for Cascadia have been published by the Next Generation Attenuation (NGA)-Subduction Project that require independent evaluation. In the regional intraslab comparisons, we highlight a characteristic frequency dependence for Cascadia data, with short periods having lower ground motions and longer periods being comparable to other subduction zones. We evaluate differences in northern and southern Cascadia and find that the NGA-Subduction GMMs developed using southern Cascadia data perform better in this region than the model that did not consider these data. We compare ground-motion variability in Cascadia with the NGA-Subduction model predictions and find differences at short periods (T = 0.1 s) due to the use of global versus regional data in the development of these models. Moreover, the within-event component of aleatory variability from the GMMs overpredicts the standard deviation of Cascadia recordings at very short periods (T < 0.05 s). Using global interface earthquakes as a proxy to evaluate the Cascadia GMMs, we find long-period overprediction from a simulation-based GMM and some of the empirical GMMs. When comparing recent observations, we find a similar misfit to GMMs and the 2010 and 2022 Ferndale earthquakes. Finally, we observe different basin amplification factors arising in different subsets of the data, which indicate that differences in basin factors between empirical GMMs could arise from the data selection choices by the developers. As part of evaluating the regional basin terms, we apply basin amplification factors from the magnitude 9 Cascadia earthquake simulations to the empirical GMMs for interface earthquakes. The comparisons presented in this study indicate that the NGA-Subduction GMMs for Cascadia perform well relative to observations and older subduction GMMs.
","language":"English","publisher":"Sage Journals","doi":"10.1177/87552930241256673","usgsCitation":"Smith, J.A., Moschetti, M.P., and Thompson, E.M., 2024, Comparing subduction ground-motion models to observations for Cascadia: Earthquake Spectra, v. 40, no. 3, p. 1787-1817, https://doi.org/10.1177/87552930241256673.","productDescription":"31 p.","startPage":"1787","endPage":"1817","ipdsId":"IP-159689","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":488672,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1177/87552930241256673","text":"Publisher Index Page"},{"id":484070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"British Columbia, California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -128,\n 50\n ],\n [\n -128,\n 40\n ],\n [\n -120,\n 40\n ],\n [\n -120,\n 50\n ],\n [\n -128,\n 50\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-06-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, James Andrew 0000-0002-5565-9254 jimsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-5565-9254","contributorId":332933,"corporation":false,"usgs":true,"family":"Smith","given":"James","email":"jimsmith@usgs.gov","middleInitial":"Andrew","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":932437,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moschetti, Morgan P. 0000-0001-7261-0295 mmoschetti@usgs.gov","orcid":"https://orcid.org/0000-0001-7261-0295","contributorId":1662,"corporation":false,"usgs":true,"family":"Moschetti","given":"Morgan","email":"mmoschetti@usgs.gov","middleInitial":"P.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":932438,"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":932439,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70254846,"text":"70254846 - 2024 - Taking heat (downstream): Simulating groundwater and thermal equilibrium controls on annual paired air–water temperature signal transport in headwater streams","interactions":[],"lastModifiedDate":"2024-06-10T15:03:47.13455","indexId":"70254846","displayToPublicDate":"2024-06-07T09:58:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Taking heat (downstream): Simulating groundwater and thermal equilibrium controls on annual paired air–water temperature signal transport in headwater streams","docAbstract":"Headwater stream temperature often exhibits spatial variation at the kilometer-scale, but the relative importance of the underlying hydrogeological processes and riverine perturbations remains poorly understood. In this study, we investigated the relative importance of groundwater (GW) and other processes on downstream annual stream temperature signal characteristics using deterministic heat budget model (HFLUX) scenarios within an idealized stream reach representative of mountainous forested conditions. We summarized annual stream thermal regimes from the relationship of paired sinusoidal air and water temperature signals (amplitude ratio, phase lag, and mean ratio). Results showed that downstream changes in annual temperature depended on the thermal gradient between water and the hypothetical equilibrium temperature (where all heat fluxes sum to zero). GW inflow, riparian shading, and the boundary input signal were the most significant factors affecting downstream annual water temperature signals, while flow volume and channel dimensions impacted how quickly annual temperature signals changed. Effects of GW were dominated by advective rather than conductive heat exchange processes, but conduction played a larger role when GW input was more spatially diffuse. Our results indicated several mechanisms by which local processes may affect stream thermal resilience to disturbances and can help guide management of wildfire and climate change.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.131391","usgsCitation":"Johnson, Z., Briggs, M., Snyder, C.D., Johnson, B.G., and Hitt, N.P., 2024, Taking heat (downstream): Simulating groundwater and thermal equilibrium controls on annual paired air–water temperature signal transport in headwater streams: Journal of Hydrology, v. 638, 131391, 18 p., https://doi.org/10.1016/j.jhydrol.2024.131391.","productDescription":"131391, 18 p.","ipdsId":"IP-117590","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":497980,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2024.131391","text":"Publisher Index Page"},{"id":429755,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"638","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Zachary 0000-0002-0149-5223 zjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-0149-5223","contributorId":190399,"corporation":false,"usgs":true,"family":"Johnson","given":"Zachary","email":"zjohnson@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":902704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":902705,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Snyder, Craig D. 0000-0002-3448-597X csnyder@usgs.gov","orcid":"https://orcid.org/0000-0002-3448-597X","contributorId":2568,"corporation":false,"usgs":true,"family":"Snyder","given":"Craig","email":"csnyder@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":902706,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Johnson, Brittany G. 0000-0002-8837-997X bdjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-8837-997X","contributorId":245863,"corporation":false,"usgs":false,"family":"Johnson","given":"Brittany","email":"bdjohnson@usgs.gov","middleInitial":"G.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":902707,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":238185,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"","middleInitial":"P.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":902708,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70254862,"text":"70254862 - 2024 - Rainfall intensification amplifies exposure of American Southwest to conditions that trigger postfire debris flows","interactions":[],"lastModifiedDate":"2024-06-10T14:56:12.774391","indexId":"70254862","displayToPublicDate":"2024-06-07T09:49:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17801,"text":"npj Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Rainfall intensification amplifies exposure of American Southwest to conditions that trigger postfire debris flows","docAbstract":"Short-duration, high-intensity rainfall can initiate deadly and destructive debris flows after wildfire. Methods to estimate the conditions that can trigger debris flows exist and guidance to determine how often those thresholds will be exceeded under the present climate are available. However, the limited spatiotemporal resolution of climate models has hampered efforts to characterize how rainfall intensification driven by global warming may affect debris-flow hazards. We use novel, dynamically downscaled (3.75-km), convection-permitting simulations of short-duration (15-min) rainfall to evaluate threshold exceedance for late 21st-century climate scenarios in the American Southwest. We observe significant increases in the frequency and magnitude of exceedances for regions dominated by cool- and warm-season rainfall. We also observe an increased frequency of exceedance in regions where postfire debris flows have not been documented, and communities are unaccustomed to the hazard. Our findings can inform planning efforts to increase resiliency to debris flows under a changing climate.
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Walker S.","contributorId":337846,"corporation":false,"usgs":false,"family":"Ashley","given":"Walker","email":"","middleInitial":"S.","affiliations":[{"id":13666,"text":"Northern Illinois University","active":true,"usgs":false}],"preferred":false,"id":902730,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70254999,"text":"70254999 - 2024 - Earthquake scenario development in conjunction with the 2023 USGS National Seismic Hazard Model","interactions":[],"lastModifiedDate":"2024-08-13T14:15:54.485877","indexId":"70254999","displayToPublicDate":"2024-06-07T08:58:54","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1436,"text":"Earthquake Spectra","active":true,"publicationSubtype":{"id":10}},"title":"Earthquake scenario development in conjunction with the 2023 USGS National Seismic Hazard Model","docAbstract":"We present earthquake scenarios developed to accompany the release of the 2023 update to the US Geological Survey National Seismic Hazard Model (NSHM). Scenarios can serve a range of local and regional needs, from developing proactive-targeted mitigation strategies for minimizing impending risk to aiding emergency management planning. These deterministic scenarios can also be used to communicate seismic hazard and risk to audiences who are not well versed in methods, such as probabilistic seismic hazard analyses. Specifically, we discuss the scenarios developed, challenges, and lessons learned in the development process, and how this work aided the development of the 2023 NSHM itself. In total, 28 scenarios were developed for Hawaii, Utah, Alaska, and Virginia considering the 2023 NSHM science, past scenario efforts, and input from local experts and stakeholders. Finally, we investigate how NSHM modeling decisions can change estimated impacts to Utah and Hawaii in more detail showing, for example, that a shallower dip of the Wasatch fault under Salt Lake City can increase predicted ground-motion intensities and therefore estimated losses and deaths.
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In the past decade, and especially during the COVID-19 pandemic, the field of epidemiology has seen substantial growth in the use of scenario projections. Multiple scenarios are often projected at the same time, allowing important comparisons that can guide the choice of intervention, the prioritization of research topics, or public communication. The design of the scenarios is central to their ability to inform important questions. In this paper, we draw on the fields of decision analysis and statistical design of experiments to propose a framework for scenario design in epidemiology, with relevance also to other fields. We identify six different fundamental purposes for scenario designs (decision making, sensitivity analysis, situational awareness, horizon scanning, forecasting, and value of information) and discuss how those purposes guide the structure of scenarios. We discuss other aspects of the content and process of scenario design, broadly for all settings and specifically for multi-model ensemble projections. As an illustrative case study, we examine the first 17 rounds of scenarios from the U.S. COVID-19 Scenario Modeling Hub, then reflect on future advancements that could improve the design of scenarios in epidemiological settings.
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Building on decades of experience maintaining the National Hydrography Dataset (NHD), the Watershed Boundary Dataset (WBD), and the NHDPlus High Resolution (NHDPlus HR), the 3DHP will completely refresh the Nation’s hydrography data and improve discovery and sharing of water-related data. The design of the 3DHP is based on the results of a study that estimated that the fully implemented program would have the potential to provide more than $1 billion in benefits to Federal, State, Tribal, Territorial, and local governments and to private and nonprofit organizations every year, in addition to myriad societal benefits. The 3DHP would directly support better decision making regarding water resources by providing more accurate, complete, and integrated information than is currently available.
The 3DHP datasets will include a three-dimensional (3D) hydrography network generated from and integrated with elevation data from the 3D Elevation Program (3DEP) to better represent stream gradients and channel conditions, along with waterbodies, hydrologic units, hydrologically enhanced elevation and other surfaces, and more consistent and accurate attributes. The 3DHP datasets will inherit key attributes of the NHD, WBD, and NHDPlus HR, and they also will include new attributes and links to other data such as the U.S. Fish and Wildlife Service National Wetlands Inventory, groundwater data, and engineered hydrologic systems such as stormwater networks. The 3DHP will be designed to provide a set of open and interoperable web-based tools, maps, and data catalogs, creating a robust system for users to reference their information about water; the system elements are collectively referred to as the “infostructure.” The 3DHP and the infostructure can provide a foundational geospatial underpinning for the Internet of Water, a community-based effort to modernize tools and technologies to share water data. As proposed, the 3DHP would begin providing products and services to the public in 2024.
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High-quality elevation data are proving to be a resource of great economic value in dealing with many important issues in Ohio. Current and accurate high-resolution elevation data support flood risk management, water quantity and quality assessment, precision farming, conservation planning, impervious-surface modeling, forest and other natural resources management, abandoned mine and geologic hazard assessment, karst mapping, and siting of wellhead pads for horizontal drilling. These data also support coastal zone management, traffic safety and preliminary engineering site-selection studies for transportation infrastructure, solar potential and other renewable energy planning, aviation safety, and identification of features of interest or concern such as archaeological sites and orphan oil and gas wells. Critical applications that meet the State’s management needs depend on light detection and ranging (lidar) data that provide a highly detailed three-dimensional (3D) model of the Earth’s surface and aboveground features.
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\"}}]}","contact":"Director, National Geospatial Program
U.S. Geological Survey
12201 Sunrise Valley Drive, Mail Stop 511
Reston, VA 20192
Email: 3DEP@usgs.gov
","tableOfContents":"Marine heatwaves (MHWs) are characterized by periods of extreme warming of local to basin-scale marine habitat. Effects of MHWs on some seabirds (e.g. mass die-offs) are well documented, but mechanisms by which seabirds respond to MHWs remain poorly understood. Following from a symposium at the 3rd World Seabird Conference, this Theme Section presents recent research to address this knowledge gap. Studies included here spanned one or more MHW event, at spatial scales from individual seabird colonies to large marine ecosystems in subtropical, temperate, and polar oceans, and over timespans from months to decades. The findings summarized herein indicate that MHWs can affect seabirds directly by creating physiological heat stress that affects behavior or survival, or indirectly by disrupting seabird food webs, largely by altering metabolic rates in ectothermic prey species, leading to effects on their associated predators and prey. Four main mechanisms by which MHWs affect seabirds are (1) habitat modification, (2) physiological forcing, (3) behavioral responses, and (4) ecological processes or species interactions. Most seabird species have experienced limited effects from MHWs to date, owing to ecological and behavioral adaptations that buffer MHW effects. However, the intensity and frequency of MHWs is increasing due to global warming, and more seabird species may have difficulty coping with future heatwave events. Also, MHW impacts can persist for years after a MHW ends, so consequences of recent or future MHWs could continue to unfold over time for many long-lived seabird species.
","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/meps14625","usgsCitation":"Piatt, J., Arimitsu, M.L., Thompson, S.A., Suryan, R., Wilson, R., Elliott, K., and Sydeman, W., 2024, Mechanisms by which marine heatwaves impact seabirds: MEPS, v. 737, p. 1-8, https://doi.org/10.3354/meps14625.","productDescription":"8 p.","startPage":"1","endPage":"8","ipdsId":"IP-164926","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":439441,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/meps14625","text":"Publisher Index Page"},{"id":429575,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"737","noUsgsAuthors":false,"publicationDate":"2024-06-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Piatt, John F. 0000-0002-4417-5748","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":244053,"corporation":false,"usgs":true,"family":"Piatt","given":"John F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":902231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":902232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson, Sarah Ann","contributorId":198394,"corporation":false,"usgs":false,"family":"Thompson","given":"Sarah","email":"","middleInitial":"Ann","affiliations":[],"preferred":false,"id":902233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Suryan, Rob","contributorId":258845,"corporation":false,"usgs":false,"family":"Suryan","given":"Rob","affiliations":[{"id":52314,"text":"NOAA NMFS Auke Bay Lab","active":true,"usgs":false}],"preferred":false,"id":902234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Rory","contributorId":337246,"corporation":false,"usgs":false,"family":"Wilson","given":"Rory","email":"","affiliations":[{"id":81000,"text":"Seaswan University","active":true,"usgs":false}],"preferred":false,"id":902235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elliott, Kyle","contributorId":95347,"corporation":false,"usgs":true,"family":"Elliott","given":"Kyle","email":"","affiliations":[],"preferred":false,"id":902236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sydeman, W.J.","contributorId":95831,"corporation":false,"usgs":true,"family":"Sydeman","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":902237,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70255113,"text":"70255113 - 2024 - Decomposition of physical processes controlling EASM precipitation changes during the mid-Piacenzian: New insights into data–model integration","interactions":[],"lastModifiedDate":"2024-06-12T14:59:19.871826","indexId":"70255113","displayToPublicDate":"2024-06-05T09:19:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17815,"text":"npj Climate and Atmospheric Science","active":true,"publicationSubtype":{"id":10}},"title":"Decomposition of physical processes controlling EASM precipitation changes during the mid-Piacenzian: New insights into data–model integration","docAbstract":"The mid-Piacenzian warm period (MPWP, ~3.264–3.025 Ma) has gained widespread interest due to its partial analogy with future climate. However, quantitative data–model comparison of East Asian Summer Monsoon (EASM) precipitation during the MPWP is relatively rare, especially due to problems in decoding the imprint of physical processes to climate signals in the records. In this study, pollen-based precipitation records are reconstructed and compared to the multi-model ensemble mean of the Pliocene Model Intercomparison Project Phase 2 (PlioMIP2). We find spatially consistent precipitation increase in most simulations but a spatially divergent change in MPWP records. We reconcile proxy data and simulation by decomposing physical processes that control precipitation. Our results 1) reveal thermodynamic control of an overall enhancement of EASM precipitation and 2) highlight a distinct control of thermodynamic and dynamical processes on increases of tropical and subtropical EASM precipitation, reflecting the two pathways of water vapor supply that enhance EASM precipitation, respectively.
","language":"English","publisher":"Nature","doi":"10.1038/s41612-024-00668-4","usgsCitation":"Sun, Y., Wu, H., Chen, L., Stepanek, C., Zhao, Y., Tan, N., Su, B., Yuan, X., Zhang, W., Liu, B., Hunter, S., Haywood, A.M., Abe-Ouchi, A., Otto-Bliesner, B., Contoux, C., Lunt, D.J., Dolan, A.M., Chandan, D., Lohmann, G., Dowsett, H., Tindall, J.C., Baatsen, M., Peltier, W.R., Li, Q., Feng, R., Salzmann, U., Chan, W., Zhang, Z., Williams, C.J., and Ramstein, G., 2024, Decomposition of physical processes controlling EASM precipitation changes during the mid-Piacenzian: New insights into data–model integration: npj Climate and Atmospheric Science, v. 7, 120, 10 p., https://doi.org/10.1038/s41612-024-00668-4.","productDescription":"120, 10 p.","ipdsId":"IP-150695","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":439448,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Here, we integrate a series of climate, hydrodynamic, biogeochemical, and Lagrangian particle dispersion models to: (1) simulate hatch and transport of fish larvae throughout an illustrative large lake, (2) evaluate patterns of historic and potential future climate-induced larval transport, and (3) consider consequences for overlap with suitable temperatures and prey. Simulations demonstrate that relative offshore transport increases seasonally, with shifts toward offshore transport occurring earlier during relatively warm historic and future simulations. Intra- and inter-annual trends in transport were robust to assumed pelagic larval duration and precise location and timing of hatching. Larvae retained nearshore generally encountered more favorable temperatures and zooplankton densities compared to larvae transported offshore. 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University","active":true,"usgs":false}],"preferred":false,"id":902431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rowe, Mark D.","contributorId":303683,"corporation":false,"usgs":false,"family":"Rowe","given":"Mark","email":"","middleInitial":"D.","affiliations":[{"id":65877,"text":"4NOAA Great Lakes Environmental Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":902432,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Xue, Pengfei 0000-0002-5702-421X","orcid":"https://orcid.org/0000-0002-5702-421X","contributorId":336561,"corporation":false,"usgs":false,"family":"Xue","given":"Pengfei","email":"","affiliations":[{"id":27113,"text":"Michigan Tech University","active":true,"usgs":false}],"preferred":false,"id":902433,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zhou, Xing 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University","active":true,"usgs":false}],"preferred":false,"id":902439,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70255657,"text":"70255657 - 2024 - Bird community response to one decade of riparian restoration along the Colorado River delta in Mexico","interactions":[],"lastModifiedDate":"2024-06-27T12:29:17.527173","indexId":"70255657","displayToPublicDate":"2024-06-05T07:28:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Bird community response to one decade of riparian restoration along the Colorado River delta in Mexico","docAbstract":"We assessed the response of breeding birds to one decade of riparian restoration in the Colorado River delta including active vegetation management since 2010 and various environmental water deliveries since 2014. Bird surveys were conducted from 2002 to 2021 at 230 bird count stations distributed along five river reaches with different hydrogeomorphic characteristics, across 7 routes in actively revegetated (“restored”) sites, and 20 routes in non-actively revegetated (“control”) sites. Both restored and control sites could be affected by environmental flows/water deliveries. We examined the temporal trajectories of four community-aggregated metrics for 53 breeding species, and the number of detections (counts) for the 30 most frequently detected among the 53 species at the restored and control sites, using generalized linear mixed-effects models. Diversity and richness of the 53 breeding species were highest in the wettest river reach, but higher than in control sites in only one restored site within one of the driest river reaches. The avian community was recovering in control sites, ameliorating a long-term declining trend, perhaps indicating indirect positive effects of active restoration. The response to restoration of the 30 most common species was species-specific. Ten of the 16 riparian forest specialist species had more detections in restored sites of the wettest reach (vs. only two in the driest reach). Species with preference for agricultural fields and generalists had the highest counts along the entire delta. Generalists generally decreased following revegetation, which was another positive restoration effect. Our results will be used to help guide future restoration efforts.
Aquatic invasive species can affect food web structure, native fish growth, and production, depending on the traits of the invasive species and the pre-invasion conditions of the ecosystem. Thermal tolerances and behavioral traits can further influence differential exploitation of resources shared between native and invasive species. An unauthorized introduction of redside shiner (Richardsonius balteatus) into reservoirs in the Upper Skagit River, Washington, USA caused concern of potential competition, decreased production, and recruitment of rainbow trout (Oncorhynchus mykiss). We combined bioenergetics modeling and stable isotope analysis with field data to quantify consumption demand of native and invasive fishes and related consumption to the availability of key zooplankton prey. Per capita consumption on Daphnia by redside shiner was low; however, their high abundance imposed considerable demand on prey resources in Ross Lake. Although monthly consumption demand by the fish community was less than 50% of the monthly production and biomass of Daphnia in Ross Lake, the current Daphnia densities and growth of rainbow trout were considerably lower than before the invasion. These reductions correspond to lower annual consumption of Daphnia. Our study provides insight on mechanisms that influence food web impacts of an invasive omnivore in cold-water reservoirs.
","language":"English","publisher":"Springer","doi":"10.1007/s10750-024-05540-3","usgsCitation":"Johnson, R.C., Code, T.J., Stenberg, K.D., Mclean, J.H., Jensen, B.L., Hoy, M.S., and Beauchamp, D., 2024, Change in growth and prey utilization for a native salmonid following invasion by an omnivorous minnow in an oligotrophic reservoir: Hydrobiologia, v. 851, p. 3767-3785, https://doi.org/10.1007/s10750-024-05540-3.","productDescription":"19 p.","startPage":"3767","endPage":"3785","ipdsId":"IP-156682","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":430962,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Ross Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.23800601163671,\n 48.99950480041659\n ],\n [\n -121.23800601163671,\n 48.70447051967537\n ],\n [\n -120.91401693322638,\n 48.70447051967537\n ],\n [\n -120.91401693322638,\n 48.99950480041659\n ],\n [\n -121.23800601163671,\n 48.99950480041659\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"851","noUsgsAuthors":false,"publicationDate":"2024-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Rachelle Carina 0000-0003-1480-4088","orcid":"https://orcid.org/0000-0003-1480-4088","contributorId":241962,"corporation":false,"usgs":true,"family":"Johnson","given":"Rachelle","email":"","middleInitial":"Carina","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Code, Tessa Julianne 0000-0003-1481-020X","orcid":"https://orcid.org/0000-0003-1481-020X","contributorId":331687,"corporation":false,"usgs":true,"family":"Code","given":"Tessa","email":"","middleInitial":"Julianne","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906172,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stenberg, Karl D. 0000-0001-9802-2707 kstenberg@usgs.gov","orcid":"https://orcid.org/0000-0001-9802-2707","contributorId":3747,"corporation":false,"usgs":true,"family":"Stenberg","given":"Karl","email":"kstenberg@usgs.gov","middleInitial":"D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906173,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mclean, Jonathan H 0000-0001-5940-3689","orcid":"https://orcid.org/0000-0001-5940-3689","contributorId":331688,"corporation":false,"usgs":true,"family":"Mclean","given":"Jonathan","email":"","middleInitial":"H","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906174,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jensen, Benjamin Lorenz 0000-0003-1199-973X","orcid":"https://orcid.org/0000-0003-1199-973X","contributorId":306036,"corporation":false,"usgs":true,"family":"Jensen","given":"Benjamin","email":"","middleInitial":"Lorenz","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906175,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hoy, Marshal S. 0000-0003-2828-9697","orcid":"https://orcid.org/0000-0003-2828-9697","contributorId":220730,"corporation":false,"usgs":true,"family":"Hoy","given":"Marshal","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906176,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beauchamp, David 0000-0002-3592-8381","orcid":"https://orcid.org/0000-0002-3592-8381","contributorId":217816,"corporation":false,"usgs":true,"family":"Beauchamp","given":"David","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":906177,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261675,"text":"70261675 - 2024 - Feature-based maximum entropy for geophysical properties of the seabed","interactions":[],"lastModifiedDate":"2024-12-18T16:15:31.965138","indexId":"70261675","displayToPublicDate":"2024-06-03T09:58:52","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2516,"text":"Journal of the Acoustical Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Feature-based maximum entropy for geophysical properties of the seabed","docAbstract":"The coherent recombination of a direct and seabed reflected path is sensitive to the geophysical properties of the seabed. The concept of feature-based inversion is used in the analysis of acoustic data collected on a vertical line array (VLA) on the New England continental shelf break in about 200 m of water. The analysis approach for the measurements is based on a ray approach in which a direct and bottom reflected path is recombined, resulting in constructive and destructive interference of the acoustic amplitudes with frequency. The acoustic features have the form of prominent nulls of the measured received levels as a function of frequency as a broadband (500–4500 Hz) source passes the closest point of approach to the VLA. The viscous grain shearing (VGS) model is employed to parameterize a two-layer seabed model. The most likely seabed is a sand sediment with a porosity of about 0.42. There is a possibility of a thin (less than 0.5 m) surface layer having a slightly higher porosity between 0.45 and 0.50. Using the estimates for the VGS parameters inferred from the short-range frequency features, a normal mode model is used to predict the received acoustic levels over larger range scales.
","language":"English","publisher":"Acoustical Society of America","doi":"10.1121/10.0026202","usgsCitation":"Knobles, D., Hodgkiss, W.S., Chaytor, J., Neilsen, T., and Lin, Y., 2024, Feature-based maximum entropy for geophysical properties of the seabed: Journal of the Acoustical Society of America, v. 155, https://doi.org/10.1121/10.0026202.","productDescription":"9 p.","startPage":"3567","ipdsId":"IP-161138","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467000,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1121/10.0026202","text":"Publisher Index Page"},{"id":465279,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"New England shelf break","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.233333,\n 40.1\n ],\n [\n -71.233333,\n 39.6833\n ],\n [\n -70.4333,\n 39.6833\n ],\n [\n -70.4333,\n 40.1\n ],\n [\n -71.233333,\n 40.1\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"155","edition":"3559","noUsgsAuthors":false,"publicationDate":"2024-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Knobles, D.P.","contributorId":347335,"corporation":false,"usgs":false,"family":"Knobles","given":"D.P.","affiliations":[{"id":83140,"text":"KSA, LLC","active":true,"usgs":false}],"preferred":false,"id":921396,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hodgkiss, William S..","contributorId":317854,"corporation":false,"usgs":false,"family":"Hodgkiss","given":"William","email":"","middleInitial":"S..","affiliations":[{"id":34004,"text":"Scripps Institute of Oceanography","active":true,"usgs":false}],"preferred":false,"id":921397,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":921398,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neilsen, Tracianne","contributorId":347336,"corporation":false,"usgs":false,"family":"Neilsen","given":"Tracianne","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":921399,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lin, Ying-Tsong","contributorId":302804,"corporation":false,"usgs":false,"family":"Lin","given":"Ying-Tsong","email":"","affiliations":[],"preferred":false,"id":921400,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261472,"text":"70261472 - 2024 - A seismic nodal deployment to understand magmatic structure in the vicinity of the Pahala earthquake swarm","interactions":[],"lastModifiedDate":"2024-12-11T16:56:59.978079","indexId":"70261472","displayToPublicDate":"2024-06-03T09:46:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"A seismic nodal deployment to understand magmatic structure in the vicinity of the Pahala earthquake swarm","docAbstract":"In summer-fall 2022, 80 three-component SmartSolo IGU-BD3C-5 nodal seismometers were deployed surrounding the Pāhala seismic swarm on the Island of Hawaiʻi, with the goal of improving seismicity catalogs, and seismic velocity images of the crust and upper mantle in this region. The Pāhala swarm, located south of Mauna Loa and Kīlauea, has been the site of a multiyear sustained swarm of seismicity at depths of ~ 25 – 40 km, with order of magnitude increases in rate in 2015, and then again in 2019. This seismicity is possibly related to the input of magma from the mantle plume below, which may then be subsequently transported to volcanic edifices. However, these processes remain enigmatic, in part due to a lack of precise earthquake locations and seismic velocity models in this region. Here we provide an overview of the deployment, an assessment of the quality of the collected data, and discuss the viability of the dataset for local earthquake relocation, tomography, and teleseismic receiver functions. Through comparisons with proximal permanent broadband and short period instruments, we find that the nodes produce high quality data, particularly at periods shorter than 5 s, although we find, document, and correct discrepancies with the gain and polarities of the instruments. We successfully record signals from teleseismic earthquakes, even at periods longer than 5 s (the corner of the flat response of the nodes). We also record local earthquakes, including details related to source characteristics. This indicates that the data is likely to prove useful for investigations using both local and teleseismic earthquake signals to better understand the connections between the deep and shallow magmatic systems of Hawaiʻi. While this deployment provides a snapshot in time, its success may provide a useful benchmark for future studies as the volcanic systems of Hawaiʻi continue to evolve in the future.","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240060","usgsCitation":"Janiszewski, H., Bennington, N.L., and Wight, J., 2024, A seismic nodal deployment to understand magmatic structure in the vicinity of the Pahala earthquake swarm: Seismological Research Letters, v. 95, no. 5, p. 3082-3092, https://doi.org/10.1785/0220240060.","productDescription":"11 p.","startPage":"3082","endPage":"3092","ipdsId":"IP-164906","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":465020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.51281317815642,\n 19.2248706279249\n ],\n [\n -155.51281317815642,\n 19.184914533216954\n ],\n [\n -155.44541433375278,\n 19.184914533216954\n ],\n [\n -155.44541433375278,\n 19.2248706279249\n ],\n [\n -155.51281317815642,\n 19.2248706279249\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"95","issue":"5","edition":"2024","noUsgsAuthors":false,"publicationDate":"2024-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Janiszewski, Helen","contributorId":347043,"corporation":false,"usgs":false,"family":"Janiszewski","given":"Helen","affiliations":[{"id":82286,"text":"University of Hawai'i at Mānoa","active":true,"usgs":false}],"preferred":false,"id":920672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bennington, Ninfa Lucia 0000-0003-3230-6744","orcid":"https://orcid.org/0000-0003-3230-6744","contributorId":346226,"corporation":false,"usgs":true,"family":"Bennington","given":"Ninfa","email":"","middleInitial":"Lucia","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wight, Jade","contributorId":347044,"corporation":false,"usgs":false,"family":"Wight","given":"Jade","email":"","affiliations":[{"id":82286,"text":"University of Hawai'i at Mānoa","active":true,"usgs":false}],"preferred":false,"id":920674,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70255141,"text":"70255141 - 2024 - Development of high surface area organosilicate nanoparticulate thin films for use in sensing hydrophobic compounds in sediment and water","interactions":[],"lastModifiedDate":"2024-06-12T14:15:49.325836","indexId":"70255141","displayToPublicDate":"2024-06-03T09:11:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17819,"text":"Biosensors","active":true,"publicationSubtype":{"id":10}},"title":"Development of high surface area organosilicate nanoparticulate thin films for use in sensing hydrophobic compounds in sediment and water","docAbstract":"The scope of this study was to apply advances in materials science, specifically the use of organosilicate nanoparticles as a high surface area platform for passive sampling of chemicals or pre-concentration for active sensing in multiple-phase complex environmental media. We have developed a novel nanoporous organosilicate (NPO) film as an extraction phase and proof of concept for application in adsorbing hydrophobic compounds in water and sediment. We characterized the NPO film properties and provided optimization for synthesis and coatings in order to apply the technology in environmental media. NPO films in this study had a very high surface area, up to 1325 m2/g due to the high level of mesoporosity in the film. The potential application of the NPO film as a sorbent phase for sensors or passive samplers was evaluated using a model hydrophobic chemical, polychlorinated biphenyls (PCB), in water and sediment. Sorption of PCB to this porous high surface area nanoparticle platform was highly correlated with the bioavailable fraction of PCB measured using whole sediment chemistry, porewater chemistry determined by solid-phase microextraction fiber methods, and the Lumbriculus variegatus bioaccumulation bioassay. The surface-modified NPO films in this study were found to highly sorb chemicals with a log octanol-water partition coefficient (Kow) greater than four; however, surface modification of these particles would be required for application to other chemicals.
","language":"English","publisher":"MDPI","doi":"10.3390/bios14060288","usgsCitation":"Bok, S., Korampally, V.R., Stanley, J., Gangopadhyay, K., Gangopadhyay, S., and Steevens, J.A., 2024, Development of high surface area organosilicate nanoparticulate thin films for use in sensing hydrophobic compounds in sediment and water: Biosensors, v. 14, no. 6, 288, 12 p., https://doi.org/10.3390/bios14060288.","productDescription":"288, 12 p.","ipdsId":"IP-155021","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":439451,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/bios14060288","text":"Publisher Index Page"},{"id":434948,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7251H4B","text":"USGS data release","linkHelpText":"Development of High Surface Area Organosilicate Nanoparticulate Thin Films for Use in Sampling Hydrophobic Compounds in Sediment-Data"},{"id":430011,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Bok, Sangho","contributorId":336578,"corporation":false,"usgs":false,"family":"Bok","given":"Sangho","email":"","affiliations":[{"id":32977,"text":"Southern Utah University","active":true,"usgs":false}],"preferred":false,"id":903523,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Korampally, Venumadhav R.","contributorId":336576,"corporation":false,"usgs":false,"family":"Korampally","given":"Venumadhav","email":"","middleInitial":"R.","affiliations":[{"id":13666,"text":"Northern Illinois University","active":true,"usgs":false}],"preferred":false,"id":903524,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Jacob K.","contributorId":338742,"corporation":false,"usgs":false,"family":"Stanley","given":"Jacob K.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":903525,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gangopadhyay, Keshab","contributorId":336579,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Keshab","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":903526,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gangopadhyay, Shubhra","contributorId":336580,"corporation":false,"usgs":false,"family":"Gangopadhyay","given":"Shubhra","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":903527,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":207511,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":903528,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70257451,"text":"70257451 - 2024 - Predicting the odds of chronic wasting disease with Habitat Risk software","interactions":[],"lastModifiedDate":"2024-09-09T16:06:16.803506","indexId":"70257451","displayToPublicDate":"2024-06-03T08:55:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6475,"text":"Spatial and Spatio-temporal Epidemiology","active":true,"publicationSubtype":{"id":10}},"title":"Predicting the odds of chronic wasting disease with Habitat Risk software","docAbstract":"Chronic wasting disease (CWD) is a transmissible spongiform encephalopathy that was first detected in captive cervids in Colorado, United States (US) in 1967, but has since spread into free-ranging white-tailed deer (Odocoileus virginianus) across the US and Canada as well as to Scandinavia and South Korea. In some areas, the disease is considered endemic in wild deer populations, and governmental wildlife agencies have employed epidemiological models to understand long-term environmental risk. However, continued rapid spread of CWD into new regions of the continent has underscored the need for extension of these models into broader tools applicable for wide use by wildlife agencies. Additionally, efforts to semi-automate models will facilitate access of technical scientific methods to broader users. We introduce software (Habitat Risk) designed to link a previously published epidemiological model with spatially referenced environmental and disease testing data to enable agency personnel to make up-to-date, localized, data-driven predictions regarding the odds of CWD detection in surrounding areas after an outbreak is discovered. Habitat Risk requires pre-processing publicly available environmental datasets and standardization of disease testing (surveillance) data, after which an autonomous computational workflow terminates in a user interface that displays an interactive map of disease risk. We demonstrated the use of the Habitat Risk software with surveillance data of white-tailed deer from Tennessee, USA.
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David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910450,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hanley, Brenda J.","contributorId":342860,"corporation":false,"usgs":false,"family":"Hanley","given":"Brenda","email":"","middleInitial":"J.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":910451,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Them, Cara E.","contributorId":342863,"corporation":false,"usgs":false,"family":"Them","given":"Cara","email":"","middleInitial":"E.","affiliations":[{"id":81945,"text":"Cara Them Consulting","active":true,"usgs":false}],"preferred":false,"id":910452,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, Corey I.","contributorId":342864,"corporation":false,"usgs":false,"family":"Mitchell","given":"Corey","email":"","middleInitial":"I.","affiliations":[{"id":81948,"text":"Desert Centered Ecology","active":true,"usgs":false}],"preferred":false,"id":910453,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kelly, James","contributorId":342865,"corporation":false,"usgs":false,"family":"Kelly","given":"James","email":"","affiliations":[{"id":13408,"text":"Tennessee Wildlife Resources Agency","active":true,"usgs":false}],"preferred":false,"id":910454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grove, Daniel","contributorId":342866,"corporation":false,"usgs":false,"family":"Grove","given":"Daniel","email":"","affiliations":[{"id":81949,"text":"University of Tennessee Extension","active":true,"usgs":false}],"preferred":false,"id":910455,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hollingshead, Nicholas","contributorId":342867,"corporation":false,"usgs":false,"family":"Hollingshead","given":"Nicholas","email":"","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":910456,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Abbott, Rachel C.","contributorId":342868,"corporation":false,"usgs":false,"family":"Abbott","given":"Rachel","email":"","middleInitial":"C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":910457,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schuler, Krysten L.","contributorId":342869,"corporation":false,"usgs":false,"family":"Schuler","given":"Krysten L.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":910458,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70257449,"text":"70257449 - 2024 - Integrating presence-only and detection/non-detection data to estimate distributions and expected abundance of difficult-to-monitor species on a landscape-scale","interactions":[],"lastModifiedDate":"2024-09-06T16:55:15.495908","indexId":"70257449","displayToPublicDate":"2024-06-03T07:55:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Integrating presence-only and detection/non-detection data to estimate distributions and expected abundance of difficult-to-monitor species on a landscape-scale","docAbstract":"We examined the influence of local habitat factors such as plant community composition and species cover, and landscape habitat factors (e.g., land cover types) on the composition of the avian community in an arid-region large river delta (Colorado River). This 106 river km-long study area has experienced restoration through environmental water deliveries and active management of vegetation for ca. 10 years after decades of degradation. Variation partitioning and spatial models (Moran Eigenvector Maps) showed that plant communities and land cover combined explained 29.3% of the variability of 115 bird species, with a high overlap of 13.1% as vegetation and landscape factors were partially confounded and spatially correlated. Redundancy analyses showed that a higher cover of native riparian trees and shrubs and a larger amount of land covered by forests, typical characteristics of revegetated sites, favored bird species with affinity for riparian forests. Marshland and open water landscape features and high cover of macrophytes (which were common in the wettest river reach among the five included in the study), irrespective of active revegetation, were associated with a higher prevalence of wetland birds. Dominance by the non-native shrub Tamarix spp. and, especially, barren areas were detrimental to most bird species. The proportion of agricultural lands around the study sites was related to high abundance of generalists and some non-native species. Overall, our study showed that both local (vegetation) and landscape (land use) factors are important considerations for restoration of riparian bird communities.
Sea-level rise rates are predicted to surpass rates of wetland vertical adjustment in the coming decades in many areas, increasing the potential for wetland submergence. Information on where wetland migration is possible can help natural resource managers for planning land acquisition or enhancing habitat connectivity to bolster adaptation of coastal wetlands to rising seas. Elevation-based models of wetland migration are often hampered with uncertainty associated with ground surface elevation, current water levels (i.e., tides and extreme water levels), and future water levels from sea-level rise. Here, we developed an approach that involved digital elevation model error reduction and the use of Monte Carlo simulations that utilize uncertainty assumptions regarding elevation error, contemporary water levels, and future sea levels to identify potential wetland migration areas. Our analyses were developed for Duvall and Nassau Counties in northeastern Florida (USA). We focus on the migration of regularly oceanic-flooded wetlands (i.e., flooded by oceanic water daily) and irregularly oceanic-flooded wetlands (i.e., flooded by oceanic water less frequently than daily). For two relative sea-level rise scenarios based on the 0.5 m and the 1.5 m global mean sea-level rise scenarios, we quantified migration by wetland flooding frequency class and identified land cover and land use types that are vulnerable to future exposure to oceanic waters. The variability in total coverage and relative coverage of wetland migration from our results highlights how topography and accelerated sea-level rise interact. Our wetland migration results communicate uncertainty by showing flooding frequency class as probabilistic outputs.