{"pageNumber":"174","pageRowStart":"4325","pageSize":"25","recordCount":165227,"records":[{"id":70254474,"text":"70254474 - 2024 - Numerical modeling of debris flows: A conceptual assessment","interactions":[],"lastModifiedDate":"2024-05-28T11:49:50.632421","indexId":"70254474","displayToPublicDate":"2024-03-29T06:48:23","publicationYear":"2024","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Numerical modeling of debris flows: A conceptual assessment","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Real-world hazard evaluation poses many challenges for the development and application of numerical models of debris flows. In this chapter we provide a conceptual overview of physically based, depth-averaged models designed to simulate debris-flow motion across three-dimensional terrain. When judiciously formulated and applied, these models can provide useful information about anticipated depths, speeds, and extents of debris-flow inundation as well as debris interactions with structures such as levees and dams. Depth-averaged debris-flow models can differ significantly from one another, however. Some of the greatest differences result from simulation of one-phase versus two-phase flow, use of parsimonious versus information-intensive initial and boundary conditions, use of tuning coefficients versus physically measureable parameters, application of dissimilar numerical solution techniques, and variations in computational speed and model accessibility. This overview first addresses these and related attributes of depth-averaged debris-flow models. It then describes model testing and application to hazard evaluation, with a focus on our own model, D-Claw. The overview concludes with a discussion of outstanding challenges for development of improved debris-flow models and suggestions for prospective model users.</p></div></div>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Advances in Debris-flow Science and Practice","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer Nature","doi":"10.1007/978-3-031-48691-3_5","usgsCitation":"Iverson, R.M., and George, D.L., 2024, Numerical modeling of debris flows: A conceptual assessment, chap. <i>of</i> Advances in Debris-flow Science and Practice, p. 127-163, https://doi.org/10.1007/978-3-031-48691-3_5.","productDescription":"37 p.","startPage":"127","endPage":"163","ipdsId":"IP-140697","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":429319,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2024-03-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Iverson, Richard M. 0000-0002-7369-3819","orcid":"https://orcid.org/0000-0002-7369-3819","contributorId":336939,"corporation":false,"usgs":true,"family":"Iverson","given":"Richard","email":"","middleInitial":"M.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":901525,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"George, David L. 0000-0002-5726-0255 dgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-5726-0255","contributorId":3120,"corporation":false,"usgs":true,"family":"George","given":"David","email":"dgeorge@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":901526,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70252473,"text":"sir20245008 - 2024 - A comparison of contemporary and historical hydrology and water quality in the foothills and coastal plain of the Arctic National Wildlife Refuge, Arctic Slope, northern Alaska","interactions":[],"lastModifiedDate":"2026-02-02T22:15:49.88748","indexId":"sir20245008","displayToPublicDate":"2024-03-28T09:44:52","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5008","displayTitle":"A Comparison of Contemporary and Historical Hydrology and Water Quality in the Foothills and Coastal Plain of the Arctic National Wildlife Refuge, Arctic Slope, Northern Alaska","title":"A comparison of contemporary and historical hydrology and water quality in the foothills and coastal plain of the Arctic National Wildlife Refuge, Arctic Slope, northern Alaska","docAbstract":"<p>The Arctic National Wildlife Refuge is a unique landscape in northern Alaska with limited water resources, substantial biodiversity of rare and threatened species, as well as oil and gas resources. The region has unique hydrology related to perennial springs, and the formation of large aufeis fields—sheets of ice that grow in the river channels where water reaches the surface in the winter and freezes. This work aims to update our understanding of water resources and water quality in the springs, streams, rivers, and lakes of this region, returning to sites sampled by the U.S. Geological Survey in the 1970s. We resampled eight streams, four springs, and six lakes for hydrological metrics, water quality, and macroinvertebrates, and recalculated flood-frequency metrics for rivers using updated data and modern techniques. Aufeis field melt rates were also assessed for the past several decades. Although the available data preclude trend determinations in most cases, our analysis and comparison to the historical sampling indicates an increase in dissolved ions for streams and springs, faster and earlier aufeis melt, and similar macroinvertebrate populations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245008","usgsCitation":"Koch, J.C., Best, H., Baughman, C., Couvillion, C., Carey, M.P., and Conaway, J., 2024, A comparison of contemporary and historical hydrology and water quality in the foothills and coastal plain of the Arctic National Wildlife Refuge, Arctic Slope, northern Alaska: U.S. Geological Survey Scientific Investigations Report 2024–5008, 24 p., https://doi.org/10.3133/sir20245008.","productDescription":"Report: viii, 24 p.; 2 Data Releases; Correction Note","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-151990","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":499422,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116206.htm","linkFileType":{"id":5,"text":"html"}},{"id":498378,"rank":8,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2024/5008/correctionNote.txt","text":"Correction note","size":"1 KB","linkFileType":{"id":2,"text":"txt"}},{"id":430506,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7KK98VP","text":"USGS data release","description":"USGS data release","linkHelpText":"Rasters of observed aufeis deposits within rivers of the 1002 Area based on historical Landsat imagery, 1985-2022"},{"id":430429,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7X34VHM","text":"USGS data release","description":"USGS data release","linkHelpText":"Macroinvertebrates from streams and springs in the 1002 region of the Arctic National Wildlife Refuge, Alaska, 2021"},{"id":427077,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5008/sir20245008.XML"},{"id":427076,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5008/images"},{"id":427075,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245008/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5008"},{"id":427074,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5008/sir20245008.pdf","text":"Report","size":"12.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5008"},{"id":427073,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5008/sir20245008.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Arctic National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -147.35991062435545,\n              70.47943246978403\n            ],\n            [\n              -147.35991062435545,\n              68.94103321326239\n            ],\n            [\n              -141.60307468685548,\n              68.94103321326239\n            ],\n            [\n              -141.60307468685548,\n              70.47943246978403\n            ],\n            [\n              -147.35991062435545,\n              70.47943246978403\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/asc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/asc/\">Alaska Science Center</a><br>U.S. Geological Survey<br>4210 University Drive<br>Anchorage, Alaska 99508</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Comparing Hydrology and Water Quality Between the Historical and Contemporary Periods</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2024-03-28","noUsgsAuthors":false,"publicationDate":"2024-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Koch, Joshua C. 0000-0001-7180-6982 jkoch@usgs.gov","orcid":"https://orcid.org/0000-0001-7180-6982","contributorId":202532,"corporation":false,"usgs":true,"family":"Koch","given":"Joshua","email":"jkoch@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":897244,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Best, Heather 0000-0003-0764-3060","orcid":"https://orcid.org/0000-0003-0764-3060","contributorId":225684,"corporation":false,"usgs":true,"family":"Best","given":"Heather","email":"","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":897245,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baughman, Carson 0000-0002-9423-9324 cbaughman@usgs.gov","orcid":"https://orcid.org/0000-0002-9423-9324","contributorId":169657,"corporation":false,"usgs":true,"family":"Baughman","given":"Carson","email":"cbaughman@usgs.gov","affiliations":[{"id":118,"text":"Alaska Science Center Geography","active":true,"usgs":true}],"preferred":true,"id":897246,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Couvillion, Charles 0009-0006-6187-8708","orcid":"https://orcid.org/0009-0006-6187-8708","contributorId":334191,"corporation":false,"usgs":true,"family":"Couvillion","given":"Charles","email":"","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":897247,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":897248,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Conaway, Jeff 0000-0002-3036-592X","orcid":"https://orcid.org/0000-0002-3036-592X","contributorId":214226,"corporation":false,"usgs":true,"family":"Conaway","given":"Jeff","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":897249,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261227,"text":"70261227 - 2024 - Canopy cover and microtopography control precipitation-enhanced thaw of ecosystem-protected permafrost","interactions":[],"lastModifiedDate":"2024-12-02T14:59:53.059963","indexId":"70261227","displayToPublicDate":"2024-03-28T08:52:51","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8116,"text":"Journal of Geophysical Research-Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"Canopy cover and microtopography control precipitation-enhanced thaw of ecosystem-protected permafrost","docAbstract":"<p><span>Northern high-latitudes are projected to get warmer and wetter, which will affect rates of permafrost thaw and mechanisms by which thaw occurs. To better understand the impact of rain, as well as other factors such as snow depth, canopy cover, and microtopography, we instrumented a degrading permafrost plateau in south-central Alaska with high-resolution soil temperature sensors. The site contains ecosystem-protected permafrost, which persists in unfavorable climates due to favorable ecologic conditions. Our study (2020–2022) captured three of the snowiest years and three of the four wettest years since the site was first studied in 2015. Average thaw rates along an across-site transect increased nine-fold from 6 ± 5 cm yr</span><sup>−1</sup><span>&nbsp;(2015–2020) to 56 ± 12 cm yr</span><sup>−1</sup><span>&nbsp;(2020–2022). This thaw was not uniform. Hummock locations, residing on topographic high points with relatively dense canopy, experienced only 8 ± 9 cm yr</span><sup>−1</sup><span>&nbsp;of thaw, on average. Hollows, topographic low points with low canopy cover, and transition locations, which had canopy cover and elevation between hummocks and hollows, thawed 44 ± 6 cm yr</span><sup>−1</sup><span>&nbsp;and 39 ± 13 cm yr</span><sup>−1</sup><span>, respectively. Mechanisms of thaw differed between these locations. Hollows had high warm-season soil moisture, which increased thermal conductivity, and deep cold-season snow coverage, which insulated soil. Transition locations thawed primarily due to thermal energy transported through subsurface taliks during individual rain events. Most increases in depth to permafrost occurred below the ∼45 cm thickness seasonally frozen layer, and therefore, expanded existing site taliks. Results highlight the importance of canopy cover and microtopography in controlling soil thermal inputs, the ability of subsurface runoff from individual rain events to trigger warming and thaw, and the acceleration of thaw caused by consecutive wet and snowy years. As northern high-latitudes become warmer and wetter, and weather events become more extreme, the importance of these controls on soil warming and thaw is likely to increase.</span></p>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ad31d7","usgsCitation":"Eklof, J., Jones, B., Dafflon, B., Devoie, E., Ring, K.M., English, M., Waldrop, M., and Neumann, R., 2024, Canopy cover and microtopography control precipitation-enhanced thaw of ecosystem-protected permafrost: Journal of Geophysical Research-Biogeosciences, v. 19, 044055, 15 p., https://doi.org/10.1088/1748-9326/ad31d7.","productDescription":"044055, 15 p.","ipdsId":"IP-162428","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467020,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ad31d7","text":"Publisher Index Page"},{"id":464623,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Kenai National Wildlife Refuge","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -151.08008194818692,\n              60.7350967339373\n            ],\n            [\n              -151.08008194818692,\n              59.91705332357239\n            ],\n            [\n              -149.68740720063502,\n              59.91705332357239\n            ],\n            [\n              -149.68740720063502,\n              60.7350967339373\n            ],\n            [\n              -151.08008194818692,\n              60.7350967339373\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"19","noUsgsAuthors":false,"publicationDate":"2024-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Eklof, Joel","contributorId":346833,"corporation":false,"usgs":false,"family":"Eklof","given":"Joel","email":"","affiliations":[{"id":82988,"text":" Civil and Environmental Engineering, University of Washington, Seattle, WA, USA. ","active":true,"usgs":false}],"preferred":false,"id":919973,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jones, Benjamin M. 0000-0002-1517-4711","orcid":"https://orcid.org/0000-0002-1517-4711","contributorId":208625,"corporation":false,"usgs":false,"family":"Jones","given":"Benjamin M.","affiliations":[{"id":37848,"text":"Water and Environmental Research Center, University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":true,"id":919974,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dafflon, Baptiste","contributorId":245441,"corporation":false,"usgs":false,"family":"Dafflon","given":"Baptiste","email":"","affiliations":[{"id":38900,"text":"Lawrence Berkeley National Laboratory","active":true,"usgs":false}],"preferred":false,"id":919975,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Devoie, Elise","contributorId":346836,"corporation":false,"usgs":false,"family":"Devoie","given":"Elise","email":"","affiliations":[{"id":82991,"text":" Department of Civil Engineering, Queen’s University, Kingston, ON, Canada ","active":true,"usgs":false}],"preferred":false,"id":919976,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ring, Katie M.","contributorId":346837,"corporation":false,"usgs":false,"family":"Ring","given":"Katie","email":"","middleInitial":"M.","affiliations":[{"id":82993,"text":"Civil and Environmental Engineering, University of Washington, Seattle, WA, USA.","active":true,"usgs":false}],"preferred":false,"id":919977,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"English, Marie","contributorId":346838,"corporation":false,"usgs":false,"family":"English","given":"Marie","email":"","affiliations":[{"id":82988,"text":" Civil and Environmental Engineering, University of Washington, Seattle, WA, USA. ","active":true,"usgs":false}],"preferred":false,"id":919978,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Waldrop, Mark 0000-0003-1829-7140","orcid":"https://orcid.org/0000-0003-1829-7140","contributorId":216758,"corporation":false,"usgs":true,"family":"Waldrop","given":"Mark","affiliations":[],"preferred":true,"id":919979,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Neumann, Rebecca","contributorId":224763,"corporation":false,"usgs":false,"family":"Neumann","given":"Rebecca","affiliations":[{"id":16962,"text":"U. Washington","active":true,"usgs":false}],"preferred":false,"id":919980,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70254612,"text":"70254612 - 2024 - Evaluation of an impulse-response emulator for groundwater contaminant transport modeling","interactions":[],"lastModifiedDate":"2024-11-22T15:44:58.044603","indexId":"70254612","displayToPublicDate":"2024-03-28T08:47:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of an impulse-response emulator for groundwater contaminant transport modeling","docAbstract":"<p><span>There is a significant need to develop decision support tools capable of delivering accurate representations of environmental conditions, such as ground and surface water solute concentrations, in a timely and computationally efficient manner. Such tools can be leveraged to assess a large number of potential management strategies for mitigating non-point source pollutants. Here, we assess the effectiveness of the impulse-response emulation approach to approximate process-based groundwater model estimates of solute transport from MODFLOW and MT3D over a wide range of model inputs and parameters, with the goal of assessing where in parameter space the assumptions underlying this emulation approach are valid. The impulse-response emulator was developed using the sensitivity analysis utilities in the PEST++ software suite and is capable of approximating MODFLOW/MT3D estimates of solute transport over a large portion of the parameter space tested, except in cases where the Courant number is above 0.5. Across all runs tested, the highest percent errors were at the plume fronts. These results suggest that the impulse-response approach may be suitable for emulation of solute transport models for a wide range of cases, except when high-resolution outputs are needed, or when very low concentrations at plume edges are of particular interest.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.13405","usgsCitation":"Heerspink, B.P., Fienen, M., and Reeves, H.W., 2024, Evaluation of an impulse-response emulator for groundwater contaminant transport modeling: Groundwater, v. 62, no. 6, p. 945-956, https://doi.org/10.1111/gwat.13405.","productDescription":"12 p.","startPage":"945","endPage":"956","ipdsId":"IP-153543","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":498231,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13405","text":"Publisher Index Page"},{"id":429517,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":435013,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13J3TCG","text":"USGS data release","linkHelpText":"Model Archive for an Impulse Response Emulator of Groundwater Contaminant Transport Models"}],"volume":"62","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Heerspink, Brent Porter 0000-0001-7591-5115","orcid":"https://orcid.org/0000-0001-7591-5115","contributorId":337146,"corporation":false,"usgs":true,"family":"Heerspink","given":"Brent","email":"","middleInitial":"Porter","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":902087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":902088,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reeves, Howard W. 0000-0001-8057-2081 hwreeves@usgs.gov","orcid":"https://orcid.org/0000-0001-8057-2081","contributorId":2307,"corporation":false,"usgs":true,"family":"Reeves","given":"Howard","email":"hwreeves@usgs.gov","middleInitial":"W.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":902089,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252583,"text":"70252583 - 2024 - Performance-based earthquake early warning for tall buildings","interactions":[],"lastModifiedDate":"2024-05-07T14:38:41.09501","indexId":"70252583","displayToPublicDate":"2024-03-28T06:52:06","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":"Performance-based earthquake early warning for tall buildings","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>The ShakeAlert Earthquake Early Warning (EEW) system aims to issue an advance warning to residents on the West Coast of the United States seconds before the ground shaking arrives, if the expected ground shaking exceeds a certain threshold. However, residents in tall buildings may experience much greater motion due to the dynamic response of the buildings. Therefore, there is an ongoing effort to extend ShakeAlert to include the contribution of building response to provide a more accurate estimation of the expected shaking intensity for tall buildings. Currently, the supposedly ideal solution of analyzing detailed finite element models of buildings under predicted ground-motion time histories is not theoretically or practically feasible. The authors have recently investigated existing simple methods to estimate peak floor acceleration (PFA) and determined these simple formulas are not practically suitable. Instead, this article explores another approach by extending the Pacific Earthquake Engineering Research Center (PEER) performance-based earthquake engineering (PBEE) to EEW, considering that every component involved in building response prediction is uncertain in the EEW scenario. While this idea is not new and has been proposed by other researchers, it has two shortcomings: (1) the simple beam model used for response prediction is prone to modeling uncertainty, which has not been quantified, and (2) the ground motions used for probabilistic demand models are not suitable for EEW applications. In this article, we address these two issues by incorporating modeling errors into the parameters of the beam model and using a new set of ground motions, respectively. We demonstrate how this approach could practically work using data from a 52-story building in downtown Los Angeles. Using the criteria and thresholds employed by previous researchers, we show that if peak ground acceleration (PGA) is accurately estimated, this approach can predict the expected level of human comfort in tall buildings.</div></div></div>","language":"English","publisher":"Earthquake Engineering Research Institute","doi":"10.1177/87552930241236762","usgsCitation":"Ghahari, S., Sargsyan, K., Parker, G.A., Swensen, D., Celebi, M., Haddadi, H., and Taciroglu, E., 2024, Performance-based earthquake early warning for tall buildings: Earthquake Spectra, v. 40, no. 2, p. 1425-1451, https://doi.org/10.1177/87552930241236762.","productDescription":"27 p.","startPage":"1425","endPage":"1451","ipdsId":"IP-155764","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":489212,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2372960","text":"External Repository"},{"id":427234,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"40","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Ghahari, S. Farid","contributorId":296977,"corporation":false,"usgs":false,"family":"Ghahari","given":"S. Farid","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":897615,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sargsyan, Khachik","contributorId":296978,"corporation":false,"usgs":false,"family":"Sargsyan","given":"Khachik","email":"","affiliations":[{"id":64263,"text":"Sandia Laboratories","active":true,"usgs":false}],"preferred":false,"id":897616,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Grace Alexandra 0000-0002-9445-2571","orcid":"https://orcid.org/0000-0002-9445-2571","contributorId":237091,"corporation":false,"usgs":true,"family":"Parker","given":"Grace","email":"","middleInitial":"Alexandra","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":897617,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Swensen, Dan","contributorId":296724,"corporation":false,"usgs":false,"family":"Swensen","given":"Dan","email":"","affiliations":[{"id":35312,"text":"CGS-CSMIP","active":true,"usgs":false}],"preferred":false,"id":897618,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Celebi, Mehmet 0000-0002-4769-7357 celebi@usgs.gov","orcid":"https://orcid.org/0000-0002-4769-7357","contributorId":200969,"corporation":false,"usgs":true,"family":"Celebi","given":"Mehmet","email":"celebi@usgs.gov","affiliations":[],"preferred":true,"id":897619,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Haddadi, Hamid","contributorId":296690,"corporation":false,"usgs":false,"family":"Haddadi","given":"Hamid","affiliations":[{"id":12640,"text":"California Geological Survey","active":true,"usgs":false}],"preferred":false,"id":897620,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Taciroglu, Ertugrul","contributorId":296979,"corporation":false,"usgs":false,"family":"Taciroglu","given":"Ertugrul","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":897621,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70254370,"text":"70254370 - 2024 - New uses for ancient middens: Bridging ecological and evolutionary perspectives","interactions":[],"lastModifiedDate":"2024-05-21T11:53:09.033076","indexId":"70254370","displayToPublicDate":"2024-03-28T06:51:52","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":"New uses for ancient middens: Bridging ecological and evolutionary perspectives","docAbstract":"<div class=\"section-paragraph\"><div class=\"section-paragraph\">Rodent middens provide a fine-scale spatiotemporal record of plant and animal communities over the late Quaternary. In the Americas, middens have offered insight into biotic responses to past environmental changes and historical factors influencing the distribution and diversity of species. However, few studies have used middens to investigate genetic or ecosystem level responses. Integrating midden studies with neoecology and experimental evolution can help address these gaps and test mechanisms underlying eco-evolutionary patterns across biological and spatiotemporal scales. Fully realizing the potential of middens to answer cross-cutting ecological and evolutionary questions and inform conservation goals in the Anthropocene will require a collaborative research community to exploit existing midden archives and mount new campaigns to leverage midden records globally.</div></div>","language":"English","publisher":"Cell Press","doi":"10.1016/j.tree.2023.12.003","usgsCitation":"Becklin, K.M., Betancourt, J.L., Braasch, J., Dezerald, O., Díaz, F., Gonzalez, A., Harbert, R., Holmgren, C.A., Hornsby, A.D., Latorre, C.L., Matocq, M., and Smith, F.A., 2024, New uses for ancient middens: Bridging ecological and evolutionary perspectives: Trends in Ecology and Evolution, v. 39, no. 5, p. 479-493, https://doi.org/10.1016/j.tree.2023.12.003.","productDescription":"15 p.","startPage":"479","endPage":"493","ipdsId":"IP-160143","costCenters":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true}],"links":[{"id":488161,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://archimer.ifremer.fr/doc/00885/99653/","text":"Publisher Index Page"},{"id":428973,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Becklin, Katie M.","contributorId":176591,"corporation":false,"usgs":false,"family":"Becklin","given":"Katie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":901121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Betancourt, Julio L. 0000-0002-7165-0743 jlbetanc@usgs.gov","orcid":"https://orcid.org/0000-0002-7165-0743","contributorId":3376,"corporation":false,"usgs":true,"family":"Betancourt","given":"Julio","email":"jlbetanc@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":901122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Braasch, Joseph","contributorId":336823,"corporation":false,"usgs":false,"family":"Braasch","given":"Joseph","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":901123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dezerald, Olivier","contributorId":336824,"corporation":false,"usgs":false,"family":"Dezerald","given":"Olivier","email":"","affiliations":[{"id":80869,"text":"DECOD (Ecosystem Dynamics and Sustainability), INRAE, Institut Agro, IFREMER, Rennes, France","active":true,"usgs":false}],"preferred":false,"id":901124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Díaz, Francisca","contributorId":336825,"corporation":false,"usgs":false,"family":"Díaz","given":"Francisca","affiliations":[{"id":80870,"text":"Pontificia Universidad Católica de Valparaíso, Chile","active":true,"usgs":false}],"preferred":false,"id":901125,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gonzalez, Angelica L.","contributorId":336826,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Angelica L.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":901126,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Harbert, Robert","contributorId":332112,"corporation":false,"usgs":false,"family":"Harbert","given":"Robert","email":"","affiliations":[{"id":79387,"text":"Stonehill College (MA)","active":true,"usgs":false}],"preferred":false,"id":901127,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Holmgren, Camille A.","contributorId":336827,"corporation":false,"usgs":false,"family":"Holmgren","given":"Camille","email":"","middleInitial":"A.","affiliations":[{"id":35093,"text":"Buffalo State University","active":true,"usgs":false}],"preferred":false,"id":901128,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hornsby, Angela D.","contributorId":336828,"corporation":false,"usgs":false,"family":"Hornsby","given":"Angela","email":"","middleInitial":"D.","affiliations":[{"id":80871,"text":"Philip L. Wright Zoological Museum, Division of Biological Sciences, University of Montana","active":true,"usgs":false}],"preferred":false,"id":901129,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Latorre, Claudio L.","contributorId":331520,"corporation":false,"usgs":false,"family":"Latorre","given":"Claudio","email":"","middleInitial":"L.","affiliations":[{"id":79225,"text":"Pontificia Universidad Católica de Chile, Santiago, Chile","active":true,"usgs":false}],"preferred":false,"id":901130,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Matocq, Marjorie D.","contributorId":336829,"corporation":false,"usgs":false,"family":"Matocq","given":"Marjorie D.","affiliations":[{"id":16686,"text":"University of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":901131,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Smith, Felisa A.","contributorId":194657,"corporation":false,"usgs":false,"family":"Smith","given":"Felisa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":901132,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70252616,"text":"70252616 - 2024 - Evaluation of in vitro treatments against the causative agent of Diadema antillarum scuticociliatosis (DaSc)","interactions":[],"lastModifiedDate":"2024-04-01T11:24:51.990396","indexId":"70252616","displayToPublicDate":"2024-03-28T06:23:33","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of in vitro treatments against the causative agent of Diadema antillarum scuticociliatosis (DaSc)","docAbstract":"<p class=\"abstract_block\">ABSTRACT: In the 1980s, a mass die-off of the long-spined sea urchin<span>&nbsp;</span><i>Diadema antillarum</i><span>&nbsp;</span>occurred on Florida and Caribbean coral reefs.<span>&nbsp;</span><i>D. antillarum</i><span>&nbsp;</span>populations largely did not recover, and in 2022, remaining populations experienced another mass mortality event. A ciliate most similar to<span>&nbsp;</span><i>Philaster apodigitiformis</i><span>&nbsp;</span>was identified as the causative agent of the 2022 event, which was named<span>&nbsp;</span><i>D. antillarum</i><span>&nbsp;</span>scuticociliatosis (DaSc). Here, we investigated possible treatments for this pathogen. We tested the efficacy of 10 compounds at final concentrations of 100, 50, 25, 12.5, 6.25, and 3.13 µM, or a 10-fold serial dilution series, against ciliates cultured from an infected<span>&nbsp;</span><i>D. antillarum</i><span>&nbsp;</span>specimen. Of the tested compounds, 8 induced 100% ciliate mortality at some dose after 24 h. The most effective (defined as those requiring the lowest dose to induce 100% ciliate mortality) were quinacrine and tomatine (both effective at 12.5 µM), followed by furaltadone and plumbagin (25 µM), bithionol sulfoxide and 2’4’ dihydroxychalcone (50 µM), and oxyclozanide and carnidazole (100 µM). Toltrazuril and a commercially available anticiliate product containing naphthoquinones were not effective at any dose tested. Shortened (15 min) time trials were performed using ciliate cultures reared in natural seawater to better reflect natural environmental conditions, and revealed that 2 of the compounds (quinacrine and tomatine) induced 100% ciliate mortality at 100 µM, with tomatine also effective at 50 µM. This study identified several treatments effective against the causative agent of DaSc<span>&nbsp;</span><i>in vitro</i>, but their toxicity and utility<span>&nbsp;</span><i>in vivo</i><span>&nbsp;</span>remain unknown.</p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/dao03776","usgsCitation":"Evans, J.S., Voelschow, J.J., Ritchie, I.T., Breitbart, M., Hewson, I., and Kellogg, C.A., 2024, Evaluation of in vitro treatments against the causative agent of Diadema antillarum scuticociliatosis (DaSc): Diseases of Aquatic Organisms, v. 157, p. 107-112, https://doi.org/10.3354/dao03776.","productDescription":"6 p.","startPage":"107","endPage":"112","ipdsId":"IP-157989","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":440028,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao03776","text":"Publisher Index Page"},{"id":435014,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9D3CY2X","text":"USGS data release","linkHelpText":"Testing Treatments Against Parasitic Scuticociliate (Philaster apodigitiformis) that Causes Mass Mortality Among Sea Urchins (Diadema antillarum) - Results"},{"id":427261,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"157","noUsgsAuthors":false,"publicationDate":"2024-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Evans, James S. 0000-0002-9977-1627 jsevans@usgs.gov","orcid":"https://orcid.org/0000-0002-9977-1627","contributorId":279528,"corporation":false,"usgs":true,"family":"Evans","given":"James","email":"jsevans@usgs.gov","middleInitial":"S.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":897707,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Voelschow, Julie Jenice 0000-0002-6605-9668","orcid":"https://orcid.org/0000-0002-6605-9668","contributorId":298433,"corporation":false,"usgs":true,"family":"Voelschow","given":"Julie","email":"","middleInitial":"Jenice","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":897708,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ritchie, Isabella T.","contributorId":304353,"corporation":false,"usgs":false,"family":"Ritchie","given":"Isabella","email":"","middleInitial":"T.","affiliations":[{"id":39241,"text":"College of Marine Science, University of South Florida","active":true,"usgs":false}],"preferred":false,"id":897709,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breitbart, Mya","contributorId":139298,"corporation":false,"usgs":false,"family":"Breitbart","given":"Mya","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":897710,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hewson, Ian","contributorId":260785,"corporation":false,"usgs":false,"family":"Hewson","given":"Ian","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":897711,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":897712,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70252472,"text":"ofr20241014 - 2024 - Assessing influence from wastewater treatment facilities on Glorieta Creek and the Pecos River within Pecos National Historical Park, New Mexico, February–October 2022","interactions":[],"lastModifiedDate":"2024-06-21T19:11:07.137467","indexId":"ofr20241014","displayToPublicDate":"2024-03-27T10:44:49","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1014","displayTitle":"Assessing Influence from Wastewater Treatment Facilities on Glorieta Creek and the Pecos River Within Pecos National Historical Park, New Mexico, February–October 2022","title":"Assessing influence from wastewater treatment facilities on Glorieta Creek and the Pecos River within Pecos National Historical Park, New Mexico, February–October 2022","docAbstract":"<p>The Pecos National Historical Park protects 2.9 miles of the Pecos River and part of Glorieta Creek within the park boundaries. Updated water-quality data can assist resource managers in determining if effluent from two nearby wastewater treatment plants (WWTPs) is affecting the quality of the water in the Pecos River and Glorieta Creek within the park. Water samples were collected four times in 2022 at two WWTP outfalls, two locations on Glorieta Creek, and two locations on the Pecos River. Water quality parameters (dissolved oxygen, water temperature, pH, turbidity, specific conductance) were measured in the field, and samples were collected and analyzed for major ions, trace elements, rare earth elements, nutrients, bacteria, and per- and polyfluoroalkyl substances (PFAS).</p><p>Specific conductance values in all samples collected from Glorieta Creek exceeded the New Mexico Surface Water Quality Standard (NMWQS) of 300 microsiemens per centimeter at 25 degrees Celsius. Concentrations of dissolved oxygen in three samples collected from Glorieta Creek and one sample for the Pecos WWTP did not meet the standard for high-quality cold-water use. Concentrations of <i>Escherichia coli</i> in samples from the Pecos WWTP exceeded the NMWQS of 235 colony-forming units per 100 milliliters during every sampling event. Concentrations of <i>E. coli</i> in samples collected from two sites on Glorieta Creek in August exceeded the NMWQS.</p><p>The chemical signature of water from Glorieta Creek indicated groundwater and (or) septic system contributions. Water samples collected from the Pecos River all had similar chemical signatures of calcium-bicarbonate type. Although concentrations of several trace elements were higher in samples from Glorieta Creek than in samples from the Pecos River, no concentrations exceeded the drinking-water standards. No concentrations exceeded aquatic life standards except for copper concentrations in two samples from the downstream location on Glorieta Creek. The trace element signature and the gadolinium anomalies in the WWTP samples indicate anthropogenic contributions.</p><p>Eleven of the 28 PFAS compounds analyzed were detected in samples during this study, with the treated wastewater effluent samples having the highest total PFAS concentrations. The total PFAS concentrations in samples from Glorieta Creek decreased by an order of magnitude as the creek flowed downstream. At the downstream site on the Pecos River, there was only one sample that had a detection of PFAS.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241014","issn":"2331-1258","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Wilkins, K., Beisner, K.R., and Travis, R., 2024, Assessing influence from wastewater treatment facilities on Glorieta Creek and the Pecos River within Pecos National Historical Park, New Mexico, February–October 2022: U.S. Geological Survey Open-File Report 2024–1014, 29 p., https://doi.org/10.3133/ofr20241014.","productDescription":"Report: viii, 29 p; 1 Appendix; Dataset","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-154223","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":427108,"rank":8,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation","linkHelpText":"- USGS National Water Information System database"},{"id":427110,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2024/1014/ofr20241014_app01.csv","text":"Appendix 1","size":"22.5 KB","linkFileType":{"id":7,"text":"csv"},"description":"OFR 2024-1014 appendix 1 CVS"},{"id":427107,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2024/1014/ofr20241014_app01.xlsx","text":"Appendix 1","size":"35.8 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2024-1014 appendix 1 XLSX","linkHelpText":"- Water Chemistry Data for Samples Collected by the U.S.  Geological Survey from Pecos National Historical Park in 2022"},{"id":427103,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1014/images"},{"id":427105,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1014/ofr20241014.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2024-1014 XML"},{"id":427179,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241014/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2024-1014 HTML"},{"id":427104,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1014/ofr20241014.pdf","text":"Report","size":"1.54 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024-1014"},{"id":427102,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1014/coverthb.jpg"}],"country":"United States","state":"New Mexico","otherGeospatial":"Glorieta Creek, Pecos National Historical Park, Pecos River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.81724909872004,\n              35.60709644922906\n            ],\n            [\n              -105.81724909872004,\n              35.48949638702851\n            ],\n            [\n              -105.62593291123609,\n              35.48949638702851\n            ],\n            [\n              -105.62593291123609,\n              35.60709644922906\n            ],\n            [\n              -105.81724909872004,\n              35.60709644922906\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/nm-water\" href=\"https://www.usgs.gov/centers/nm-water\">New Mexico Water Science Center</a><br>U.S. Geological Survey<br>6700 Edith Blvd. NE<br>Albuquerque, NM 87113<br></p><p><a id=\"LPlnk103145\" class=\"OWAAutoLink\" title=\"https://pubs.usgs.gov/contact\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Aqueous Chemistry</li><li>Quality Assurance Samples</li><li>Influence From Wastewater Treatment Facilities on Glorieta Creek and the Pecos River Within Pecos National Historical Park</li><li>Summary</li><li>References Cited</li><li>Appendix 1</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2024-03-27","noUsgsAuthors":false,"publicationDate":"2024-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkins, K. 0000-0002-8096-0153","orcid":"https://orcid.org/0000-0002-8096-0153","contributorId":335027,"corporation":false,"usgs":true,"family":"Wilkins","given":"K.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beisner, K. R. 0000-0002-2077-6899","orcid":"https://orcid.org/0000-0002-2077-6899","contributorId":30052,"corporation":false,"usgs":true,"family":"Beisner","given":"K.","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Travis, R. E. 0000-0001-8601-7791 rtravis@usgs.gov","orcid":"https://orcid.org/0000-0001-8601-7791","contributorId":206438,"corporation":false,"usgs":true,"family":"Travis","given":"R.","email":"rtravis@usgs.gov","middleInitial":"E.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897242,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70269311,"text":"70269311 - 2024 - Integrated distance sampling models for simple point counts","interactions":[],"lastModifiedDate":"2025-07-18T14:49:39.054391","indexId":"70269311","displayToPublicDate":"2024-03-27T09:47:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Integrated distance sampling models for simple point counts","docAbstract":"<p><span>Point counts (PCs) are widely used in biodiversity surveys but, despite numerous advantages, simple PCs suffer from several problems: detectability, and therefore abundance, is unknown; systematic spatiotemporal variation in detectability yields biased inferences, and unknown survey area prevents formal density estimation and scaling-up to the landscape level. We introduce integrated distance sampling (IDS) models that combine distance sampling (DS) with simple PC or detection/nondetection (DND) data to capitalize on the strengths and mitigate the weaknesses of each data type. Key to IDS models is the view of simple PC and DND data as aggregations of latent DS surveys that observe the same underlying density process. This enables the estimation of separate detection functions, along with distinct covariate effects, for all data types. Additional information from repeat or time-removal surveys, or variable survey duration, enables the separate estimation of the availability and perceptibility components of detectability with DS and PC data. IDS models reconcile spatial and temporal mismatches among data sets and solve the above-mentioned problems of simple PC and DND data. To fit IDS models, we provide JAGS code and the new “</span><span>IDS()</span><span>” function in the R package&nbsp;</span><i><span>unmarked</span></i><span>. Extant citizen-science data generally lack the information necessary to adjust for detection biases, but IDS models address this shortcoming, thus greatly extending the utility and reach of these data. In addition, they enable formal density estimation in hybrid designs, which efficiently combine DS with distance-free, point-based PC or DND surveys. We believe that IDS models have considerable scope in ecology, management, and monitoring.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4292","usgsCitation":"Kery, M., Royle, A., Hallman, T., Robinson, D., Strebel, N., and Kellner, K.F., 2024, Integrated distance sampling models for simple point counts: Ecology, v. 105, no. 5, e4292, 14 p., https://doi.org/10.1002/ecy.4292.","productDescription":"e4292, 14 p.","ipdsId":"IP-147069","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":492866,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.4292","text":"Publisher Index Page"},{"id":492538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Kery, Marc","contributorId":168361,"corporation":false,"usgs":false,"family":"Kery","given":"Marc","affiliations":[{"id":12551,"text":"Swiss Ornithological Institute, Sempach, Switzerland","active":true,"usgs":false}],"preferred":false,"id":943421,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":943422,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hallman, Tyler","contributorId":358288,"corporation":false,"usgs":false,"family":"Hallman","given":"Tyler","affiliations":[{"id":85597,"text":"Swiss Ornithological Institute; University of Charlotte; Bangor University","active":true,"usgs":false}],"preferred":false,"id":943423,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robinson, Doug","contributorId":358289,"corporation":false,"usgs":false,"family":"Robinson","given":"Doug","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":943424,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Strebel, Nicolas","contributorId":358290,"corporation":false,"usgs":false,"family":"Strebel","given":"Nicolas","affiliations":[{"id":67146,"text":"Swiss Ornithological Institute","active":true,"usgs":false}],"preferred":false,"id":943425,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kellner, Kenneth F.","contributorId":310338,"corporation":false,"usgs":false,"family":"Kellner","given":"Kenneth","email":"","middleInitial":"F.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":943426,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70256537,"text":"70256537 - 2024 - Metagenomic sequencing sheds light on microbes putatively associated with pneumonia-related fatalities of white-tailed deer (Odocoileus virginianus)","interactions":[],"lastModifiedDate":"2024-08-08T11:56:17.731085","indexId":"70256537","displayToPublicDate":"2024-03-27T06:52:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10142,"text":"Microbial Genomics","onlineIssn":"2057-5858","active":true,"publicationSubtype":{"id":10}},"title":"Metagenomic sequencing sheds light on microbes putatively associated with pneumonia-related fatalities of white-tailed deer (Odocoileus virginianus)","docAbstract":"<p>With emerging infectious disease outbreaks in human, domestic and wild animal populations on the rise, improvements in pathogen characterization and surveillance are paramount for the protection of human and animal health, as well as the conservation of ecologically and economically important wildlife. Genomics offers a range of suitable tools to meet these goals, with metagenomic sequencing facilitating the characterization of whole microbial communities associated with emerging and endemic disease outbreaks. Here, we use metagenomic sequencing in a case-control study to identify microbes in lung tissue associated with newly observed pneumonia-related fatalities in 34 white-tailed deer (<span class=\"jp-italic\">Odocoileus virginianus</span>) in Wisconsin, USA. We identified 20 bacterial species that occurred in more than a single individual. Of these, only<span>&nbsp;</span><span class=\"jp-italic\">Clostridium novyi</span><span>&nbsp;</span>was found to substantially differ (in number of detections) between case and control sample groups; however, this difference was not statistically significant. We also detected several bacterial species associated with pneumonia and/or other diseases in ruminants (<span class=\"jp-italic\">Mycoplasma ovipneumoniae</span>,<span>&nbsp;</span><span class=\"jp-italic\">Trueperella pyogenes</span>,<span>&nbsp;</span><span class=\"jp-italic\">Pasteurella multocida</span>,<span>&nbsp;</span><span class=\"jp-italic\">Anaplasma phagocytophilum</span>,<span>&nbsp;</span><span class=\"jp-italic\">Fusobacterium necrophorum</span>); however, these species did not substantially differ between case and control sample groups. On average, we detected a larger number of bacterial species in case samples than controls, supporting the potential role of polymicrobial infections in this system. Importantly, we did not detect DNA of viruses or fungi, suggesting that they are not significantly associated with pneumonia in this system. Together, these results highlight the utility of metagenomic sequencing for identifying disease-associated microbes. This preliminary list of microbes will help inform future research on pneumonia-associated fatalities of white-tailed deer.</p>","language":"English","publisher":"Microbiology Society","doi":"10.1099/mgen.0.001214","usgsCitation":"Prentice, M.B., Gilbertson, M.L., Storm, D., Roy, A.H., Walsh, D.P., Pinkerton, M.E., and Kamath, P., 2024, Metagenomic sequencing sheds light on microbes putatively associated with pneumonia-related fatalities of white-tailed deer (Odocoileus virginianus): Microbial Genomics, v. 10, 001214, 13 p., https://doi.org/10.1099/mgen.0.001214.","productDescription":"001214, 13 p.","ipdsId":"IP-153981","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":440030,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1099/mgen.0.001214","text":"Publisher Index Page"},{"id":432408,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Prentice, Melanie B.","contributorId":341057,"corporation":false,"usgs":false,"family":"Prentice","given":"Melanie","email":"","middleInitial":"B.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":907865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gilbertson, Marie L.J.","contributorId":341058,"corporation":false,"usgs":false,"family":"Gilbertson","given":"Marie","email":"","middleInitial":"L.J.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":907866,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storm, Daniel J.","contributorId":341059,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel J.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":907867,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roy, Allison H. 0000-0002-8080-2729 aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907868,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walsh, Daniel P. 0000-0002-7772-2445","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":219539,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":907869,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pinkerton, Marie E.","contributorId":341060,"corporation":false,"usgs":false,"family":"Pinkerton","given":"Marie","email":"","middleInitial":"E.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":907870,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kamath, Pauline L.","contributorId":341061,"corporation":false,"usgs":false,"family":"Kamath","given":"Pauline L.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":907871,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70255587,"text":"70255587 - 2024 - Preface to focus section on new frontiers and advances in global seismology","interactions":[],"lastModifiedDate":"2024-06-25T11:52:57.801357","indexId":"70255587","displayToPublicDate":"2024-03-27T06:50:32","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":"Preface to focus section on new frontiers and advances in global seismology","docAbstract":"<div id=\"143126074\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Over the last century, many of the fundamental advances in our understanding of the solid Earth have been underpinned by seismic observations recorded on long‐running networks of globally distributed seismic instruments (e.g., Agnew<span>&nbsp;</span><i>et&nbsp;al.</i>, 1976; Romanowicz<span>&nbsp;</span><i>et&nbsp;al.</i>, 1984; Hanka and Kind, 1994; Peterson and Hutt, 2014; Ringler<span>&nbsp;</span><i>et&nbsp;al.</i>, 2022a). During this time, seismic data quality and the speed of dissemination have improved substantially from early analog paper records to digital, very broadband data transmitted in near‐real time (Steim, 2015) and rapidly archived in online data repositories with...</p></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220240092","usgsCitation":"Anthony, R.E., Leroy, N., Mellors, R., Ringler, A.T., Saul, J., Vallee, M., and Wilson, D.C., 2024, Preface to focus section on new frontiers and advances in global seismology: Seismological Research Letters, v. 95, no. 3, p. 1473-1477, https://doi.org/10.1785/0220240092.","productDescription":"5 p.","startPage":"1473","endPage":"1477","ipdsId":"IP-161794","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":430497,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"95","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-03-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Anthony, Robert E. 0000-0001-7089-8846 reanthony@usgs.gov","orcid":"https://orcid.org/0000-0001-7089-8846","contributorId":202829,"corporation":false,"usgs":true,"family":"Anthony","given":"Robert","email":"reanthony@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":904836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leroy, Nicolas","contributorId":221156,"corporation":false,"usgs":false,"family":"Leroy","given":"Nicolas","email":"","affiliations":[{"id":40341,"text":"Institut de Physique du Globe de Paris, Sorbonne Paris Cité, Université Paris Diderot, CNRS, France","active":true,"usgs":false}],"preferred":false,"id":904837,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mellors, Robert","contributorId":339669,"corporation":false,"usgs":false,"family":"Mellors","given":"Robert","email":"","affiliations":[{"id":81377,"text":"Institute of Geophysics and Planetary Physics, University of California San Diego","active":true,"usgs":false}],"preferred":false,"id":904838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ringler, Adam T. 0000-0002-9839-4188 aringler@usgs.gov","orcid":"https://orcid.org/0000-0002-9839-4188","contributorId":3946,"corporation":false,"usgs":true,"family":"Ringler","given":"Adam","email":"aringler@usgs.gov","middleInitial":"T.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":904839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Saul, Joachim","contributorId":339670,"corporation":false,"usgs":false,"family":"Saul","given":"Joachim","email":"","affiliations":[{"id":39797,"text":"GFZ German Research Centre for Geosciences","active":true,"usgs":false}],"preferred":false,"id":904840,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vallee, Martin","contributorId":221158,"corporation":false,"usgs":false,"family":"Vallee","given":"Martin","email":"","affiliations":[{"id":40341,"text":"Institut de Physique du Globe de Paris, Sorbonne Paris Cité, Université Paris Diderot, CNRS, France","active":true,"usgs":false}],"preferred":false,"id":904841,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wilson, David C. 0000-0003-2582-5159 dwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-2582-5159","contributorId":145580,"corporation":false,"usgs":true,"family":"Wilson","given":"David","email":"dwilson@usgs.gov","middleInitial":"C.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":904842,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70253209,"text":"70253209 - 2024 - Seabirds and humpback whales give early warning to marine heatwaves","interactions":[],"lastModifiedDate":"2024-04-29T11:17:49.978216","indexId":"70253209","displayToPublicDate":"2024-03-27T06:13:47","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17473,"text":"Open Access Government","active":true,"publicationSubtype":{"id":10}},"title":"Seabirds and humpback whales give early warning to marine heatwaves","docAbstract":"Between 2014 and 2016, an extreme marine heatwave struck the North Pacific Ocean, affecting nearshore and pelagic (offshore, open ocean) ecosystems from southern California to Alaska. This unprecedented event, characterized by unusually warm ocean temperatures over a large area, was the longest-duration marine heatwave recorded to date. The Gulf of Alaska endured some of the most severe consequences of this heatwave, now known as the Pacific Marine Heatwave or “the Blob” (Fig. 1). Marine heatwaves, like the Blob, are increasing in frequency and intensity over time, and they can cause large-scale disruptions to marine ecosystems. The increased occurrence of these events across the world's oceans in recent decades necessitates an understanding of their impact on biological communities.","language":"English","publisher":"Open Access Government","doi":"10.56367/OAG-042-10703","usgsCitation":"Bien, L., Suryan, R., Arimitsu, M.L., and Moran, J., 2024, Seabirds and humpback whales give early warning to marine heatwaves: Open Access Government, 4 p., https://doi.org/10.56367/OAG-042-10703.","productDescription":"4 p.","ipdsId":"IP-163021","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":497984,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.56367/oag-042-10703","text":"Publisher Index Page"},{"id":428175,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bien, Lauren","contributorId":335900,"corporation":false,"usgs":false,"family":"Bien","given":"Lauren","email":"","affiliations":[{"id":80573,"text":"PWSSC","active":true,"usgs":false}],"preferred":false,"id":899687,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Suryan, Rob","contributorId":335901,"corporation":false,"usgs":false,"family":"Suryan","given":"Rob","affiliations":[{"id":80574,"text":"NOAA Auke Bay Lab","active":true,"usgs":false}],"preferred":false,"id":899688,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":899689,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moran, John","contributorId":335902,"corporation":false,"usgs":false,"family":"Moran","given":"John","affiliations":[{"id":80574,"text":"NOAA Auke Bay Lab","active":true,"usgs":false}],"preferred":false,"id":899690,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252044,"text":"gip238 - 2024 - Where is the water? Desert [poster]","interactions":[],"lastModifiedDate":"2024-07-31T18:48:55.180237","indexId":"gip238","displayToPublicDate":"2024-03-26T13:00:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"238","displayTitle":"Where is the Water? Desert [Poster]","title":"Where is the water? Desert [poster]","docAbstract":"<h1>Description</h1><p>Water is an integral part of how we interact with the environment and live our everyday lives. This educational poster illustrates where water is in a desert environment, how it moves, and different ways water is used both naturally and through human interaction. This poster is intended for eighth-grade audiences and younger.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip238","usgsCitation":"Love, S., Hill, S., Carling, G., Lemonte, J., Abbott, B., Lee, R., Wood, R., Bailey, E., Corson-Dosch, H.R., Nell, C., and Nixon, R., 2024, Where is the water? Desert [poster]: U.S. Geological Survey General Information Product 238, https://doi.org/10.3133/gip238.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-154490","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426536,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/238/coverthb.jpg"},{"id":426706,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip235","text":"General Information Product 235","linkHelpText":"-  Water Cycle Processes [Poster]"},{"id":426707,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip236","text":"General Information Product 236","linkHelpText":"- Where is the Water? 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It illustrates examples of natural and human interactions with these processes. This poster is intended for eighth-grade audiences.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip235","usgsCitation":"Anderson, E., Hill, S., Nixon, R., Abbott, B., Lee, R., Wood, R., Carling, G., Hopkins, B., Corson-Dosch, H.R., Nell, C., and Bailey, E., 2024, Water cycle processes [poster]: U.S. Geological Survey General Information Product 235, https://doi.org/10.3133/gip235.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-154487","costCenters":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":426689,"rank":8,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip237","text":"General Information Product 237","linkHelpText":"- Where is the Water? 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Coast [Poster]"},{"id":426780,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/235/gip235_print.pdf","text":"Report","size":"3.06 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 235","linkHelpText":"High-resolution file for printing"},{"id":426531,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/235/gip235.pdf","text":"Report","size":"1.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 235"},{"id":426530,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/235/coverthb.jpg"},{"id":426690,"rank":9,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip238","text":"General Information Product 238","linkHelpText":"- Where is the Water? Desert [Poster]"}],"contact":"<p>Integrated Information Dissemination Division<br><a href=\"https://www.usgs.gov/mission-areas/water-resources\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources\">Water Resource Mission Area</a><br>U.S. Geological Survey<br>1 Gifford Pinchot Drive<br>Madison, WI 53726</p><p><a href=\"mailto:water-science-school@usgs.gov\" data-mce-href=\"mailto:water-science-school@usgs.gov\">water-science-school@usgs.gov</a></p>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-03-26","noUsgsAuthors":false,"publicationDate":"2024-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Anderson, Eliza","contributorId":205557,"corporation":false,"usgs":false,"family":"Anderson","given":"Eliza","email":"","affiliations":[],"preferred":false,"id":896376,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hill, Sophie 0000-0001-5476-9462","orcid":"https://orcid.org/0000-0001-5476-9462","contributorId":334709,"corporation":false,"usgs":false,"family":"Hill","given":"Sophie","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":896377,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nixon, Ryan 0000-0001-6300-5448","orcid":"https://orcid.org/0000-0001-6300-5448","contributorId":334712,"corporation":false,"usgs":false,"family":"Nixon","given":"Ryan","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":896378,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Abbott, Benjamin 0000-0001-5861-3481","orcid":"https://orcid.org/0000-0001-5861-3481","contributorId":215170,"corporation":false,"usgs":false,"family":"Abbott","given":"Benjamin","email":"","affiliations":[{"id":39191,"text":"Bringham Young Unviersity","active":true,"usgs":false}],"preferred":false,"id":896379,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lee, Raymond 0000-0003-4625-9707","orcid":"https://orcid.org/0000-0003-4625-9707","contributorId":334710,"corporation":false,"usgs":false,"family":"Lee","given":"Raymond","email":"","affiliations":[{"id":56299,"text":"Washington College","active":true,"usgs":false}],"preferred":false,"id":896380,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wood, Rachel 0000-0001-7953-3173","orcid":"https://orcid.org/0000-0001-7953-3173","contributorId":225576,"corporation":false,"usgs":false,"family":"Wood","given":"Rachel","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":896381,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carling, Gregory 0000-0001-5820-125X","orcid":"https://orcid.org/0000-0001-5820-125X","contributorId":69459,"corporation":false,"usgs":false,"family":"Carling","given":"Gregory","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":896382,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hopkins, Bryan 0000-0001-7313-055X","orcid":"https://orcid.org/0000-0001-7313-055X","contributorId":191386,"corporation":false,"usgs":false,"family":"Hopkins","given":"Bryan","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":896383,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Corson-Dosch, Hayley R. 0000-0001-8695-1584","orcid":"https://orcid.org/0000-0001-8695-1584","contributorId":244707,"corporation":false,"usgs":true,"family":"Corson-Dosch","given":"Hayley","middleInitial":"R.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":896384,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nell, Cee S. 0000-0003-2218-3971","orcid":"https://orcid.org/0000-0003-2218-3971","contributorId":244705,"corporation":false,"usgs":true,"family":"Nell","given":"Cee","middleInitial":"S.","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":896385,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bailey, Elizabeth 0000-0002-8679-4010","orcid":"https://orcid.org/0000-0002-8679-4010","contributorId":334711,"corporation":false,"usgs":false,"family":"Bailey","given":"Elizabeth","email":"","affiliations":[{"id":6681,"text":"Brigham Young University","active":true,"usgs":false}],"preferred":false,"id":896386,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70252039,"text":"sir20235124 - 2024 - Spatial distribution of API gravity and gas/oil ratios for petroleum accumulations in Upper Cretaceous strata of the San Miguel, Olmos, and Escondido Formations of the south Texas Maverick Basin—Implications for petroleum migration and charge history","interactions":[],"lastModifiedDate":"2026-01-30T19:20:24.076021","indexId":"sir20235124","displayToPublicDate":"2024-03-26T12:45:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5124","displayTitle":"Spatial Distribution of API Gravity and Gas/Oil Ratios for Petroleum Accumulations in Upper Cretaceous Strata of the San Miguel, Olmos, and Escondido Formations of the South Texas Maverick Basin—Implications for Petroleum Migration and Charge History","title":"Spatial distribution of API gravity and gas/oil ratios for petroleum accumulations in Upper Cretaceous strata of the San Miguel, Olmos, and Escondido Formations of the south Texas Maverick Basin—Implications for petroleum migration and charge history","docAbstract":"<p>The Maverick Basin of south Texas is currently undergoing active exploration and production of gas and oil from tight sandstone reservoirs. The most productive tight sandstones in the basin are in the Upper Cretaceous San Miguel, Olmos, and Escondido Formations. These units are second only to the Eagle Ford Shale in terms of cumulative production volumes. The structural history of the Maverick Basin, from rifting to subsidence to exhumation, has had a profound effect on the characteristics of these reservoirs and the petroleum resources contained therein. This U.S. Geological Survey review of the production history of these strata reflects a recent shift from conventional production to horizontal drilling (unconventional) that exploits low permeability reservoirs in previously overlooked areas of existing oil and gas fields in southern Texas, typically outside of established field boundaries.</p><p>To investigate the physical properties of the Maverick Basin hydrocarbon accumulations, this case study compiled American Petroleum Institute (API) gravity measurements and calculated cumulative gas/oil ratios (GOR) for thousands of producing wells from the San Miguel, Olmos, and Escondido Formations. Maps were generated from the compiled well production data to show the spatial heterogeneity of API gravity and GOR values for the three formations within the Maverick Basin and immediately outside the basin to the northeast. Within the Maverick Basin, the spatial patterns of API gravity values indicate lighter oils downdip towards the southern basin edge. GOR values indicative of wet and dry gases within the basin are seen interspersed, with values that correspond to black and heavy oils. Differences in the spatial patterns of the petroleum properties within the Maverick Basin are interpreted as effects of Eocene basin inversion caused by Laramide orogenic deformation, and the resulting reservoir exhumation of basin strata. East of the Maverick Basin, spatial distributions of API gravity and GOR values show progressively heavier oils updip to the northwest, grading to dry gases downdip to the southeast, which correlates to the oil and gas windows of the underlying Eagle Ford Shale.</p><p>Correlation of API gravity and GOR values from the San Miguel, Olmos, and Escondido Formations with thermal maturity data from the Eagle Ford Shale suggests that the Eagle Ford Shale is the petroleum source, and that petroleum migration was approximately vertical for areas to the east of the Maverick Basin. The discontinuity of API gravity and GOR properties within the Maverick Basin implies a complex petroleum charge history, possibly involving the remigration of petroleum and the addition of petroleum from other source intervals in Mexico, to the southwest. Depressurization of exhumed, overpressured reservoirs of the San Miguel, Olmos, and Escondido Formations can explain the intermittent occurrence of gas production throughout the southern Maverick Basin by exsolution of gas from formation brines and the resulting dry gas flushing of hydrocarbon-charged reservoirs. The introduction of dry gas through flushing can, in turn, explain why the patterns of API gravity and GOR values are so dissimilar in the Maverick Basin. This process has implications for possible future production of unconventional resources from undiscovered tight-gas reservoirs in strata of the San Miguel, Olmos, and Escondido Formations, and a different approach to petroleum exploration may be needed in the Maverick Basin relative to exploration techniques applied in other basins within the northern Gulf of Mexico.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235124","programNote":"Energy Resources Program","usgsCitation":"Doolan, C.A., Craddock, W.H., Buursink, M.L., Hatcherian, J.J., and Cahan, S.M., 2024, Spatial distribution of API gravity and gas/oil ratios for petroleum accumulations in Upper Cretaceous strata of the San Miguel, Olmos, and Escondido Formations of the south Texas Maverick Basin—Implications for petroleum migration and charge history: U.S. Geological Survey Scientific Investigations Report 2023–5124, 24 p., https://doi.org/10.3133/sir20235124.","productDescription":"iv, 24 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-133374","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":426494,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5124/coverthb2.jpg"},{"id":426498,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5124/sir20235124.XML"},{"id":426497,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5124/images/"},{"id":426496,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235124/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":426495,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5124/sir20235124.pdf","text":"Report","size":"2.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5124"},{"id":499389,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116208.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","otherGeospatial":"Maverick Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -101.09222334413582,\n              30.33527822084403\n            ],\n            [\n              -101.09222334413582,\n              26.628154158079013\n            ],\n            [\n              -95.81878584413593,\n              26.628154158079013\n            ],\n            [\n              -95.81878584413593,\n              30.33527822084403\n            ],\n            [\n              -101.09222334413582,\n              30.33527822084403\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/geology-energy-and-minerals-science-center\" data-mce-href=\"https://www.usgs.gov/centers/geology-energy-and-minerals-science-center\">Geology, Energy &amp; Minerals Science Center</a><br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Mail Stop 954<br>Reston, VA 20192</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Geologic Setting</li><li>Methods for API Gravity and Gas/Oil Ratio (GOR) Mapping</li><li>Resulting Spatial Patterns of Petroleum Properties</li><li>Discussion</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2024-03-26","noUsgsAuthors":false,"publicationDate":"2024-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Doolan, Colin A. 0000-0002-7595-7566 cdoolan@usgs.gov","orcid":"https://orcid.org/0000-0002-7595-7566","contributorId":3046,"corporation":false,"usgs":true,"family":"Doolan","given":"Colin","email":"cdoolan@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":896306,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Craddock, William H. 0000-0002-4181-4735 wcraddock@usgs.gov","orcid":"https://orcid.org/0000-0002-4181-4735","contributorId":3411,"corporation":false,"usgs":true,"family":"Craddock","given":"William","email":"wcraddock@usgs.gov","middleInitial":"H.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":896307,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buursink, Marc L. 0000-0001-6491-386X","orcid":"https://orcid.org/0000-0001-6491-386X","contributorId":203357,"corporation":false,"usgs":true,"family":"Buursink","given":"Marc L.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":896308,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatcherian, Javin J. 0000-0001-9151-6798 jhatcherian@usgs.gov","orcid":"https://orcid.org/0000-0001-9151-6798","contributorId":195770,"corporation":false,"usgs":true,"family":"Hatcherian","given":"Javin","email":"jhatcherian@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":896309,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cahan, Steven M. 0000-0002-4776-3668","orcid":"https://orcid.org/0000-0002-4776-3668","contributorId":205929,"corporation":false,"usgs":true,"family":"Cahan","given":"Steven M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":896310,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70252216,"text":"sir20245010 - 2024 - Evaluation of sensors for continuous monitoring of harmful algal blooms in the Finger Lakes region, New York, 2019 and 2020","interactions":[],"lastModifiedDate":"2026-02-02T22:18:32.06379","indexId":"sir20245010","displayToPublicDate":"2024-03-26T10:10:00","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5010","displayTitle":"Evaluation of Sensors for Continuous Monitoring of Harmful Algal Blooms in the Finger Lakes Region, New York, 2019 and 2020","title":"Evaluation of sensors for continuous monitoring of harmful algal blooms in the Finger Lakes region, New York, 2019 and 2020","docAbstract":"<p>In response to the increasing frequency of cyanobacterial harmful algal blooms (CyanoHABs) in the Finger Lakes region of New York State, a pilot study by the U.S. Geological Survey, in collaboration with the New York State Department of Environmental Conservation, was conducted to enhance CyanoHAB monitoring and understanding. High-frequency sensors were deployed on open water monitoring-station platforms at Seneca Lake in 2019–20, at Owasco Lake in 2019–20, and at Skaneateles Lake in 2019. One of the goals of this study was to evaluate the ability of in-place sensors to make representative measurements of dissolved organic matter, nutrients, and algal pigments (as indicators of phytoplankton biomass) while collecting routine field parameters (water temperature, specific conductance, pH, dissolved oxygen, turbidity, weather, and light) to provide additional information about environmental conditions.</p><p>Despite challenges like power issues and sensor fouling, the sensors performed well overall. However, correlation analyses between sensor readings and laboratory measurements revealed variable performance. Results indicate the relation between the fluorescent dissolved organic matter sensor and laboratory-measured dissolved organic carbon was weak at all study lakes. The nitrate sensors can be sensitive to ambient temperature and have a substantial power requirement, and the relation between sensor- and laboratory-measured nitrate values differed among lakes. The orthophosphate sensors, which were complex and prone to data loss, yielded results that were difficult to interpret because orthophosphate detections are rare in the study lakes. The multichannel fluorometer was also complex to use and required several unique procedures for its operation.</p><p>Chlorophyll measurements from the fluorometers correlated moderately well with laboratory-measured chlorophyll-<i>a</i>, although relations with total phytoplankton biovolume were weaker. Relations between phycocyanin concentration measurements from the dual-channel fluorometers and cyanobacterial biovolume were not significant; however, the cyanobacterial biovolume correlation was moderately strong with chlorophyll contribution from cyanobacteria measurements from the multichannel fluorometer. Of all collected parameters, water temperature was among the strongest correlated with chlorophyll-<i>a</i>, total phytoplankton biovolume, and cyanobacterial biovolume.</p><p>Stepwise regression analysis was used to identify the best parameters for modeling variance in laboratory measures of phytoplankton biomass. This analysis included factors such as chlorophyll fluorescence, pH, water temperature, and others, which varied by lake. Overall, the models had limited explanatory power for chlorophyll-<i>a</i> and other biovolumes, possibly due to the absence of CyanoHABs at the open-water monitoring locations. Multivariate models did not outperform simple fluorescence-based models. Notably, turbidity was a more significant indicator of cyanobacterial biovolume variability than phycocyanin from dual-channel fluorometers.</p><p>The study concludes that while single and multivariate models based on sensor data are useful, they did not explain any more variance than fluorescence-based models. Broader data collection, including more CyanoHAB events, is necessary to refine these models. Integrating machine learning could leverage large, complex datasets to improve CyanoHAB predictions, thereby enhancing the management and understanding of these blooms.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245010","usgsCitation":"Johnston, B.D., Finkelstein, K.M., Gifford, S.R., Stouder, M.D., Nystrom, E.A., Savoy, P.R., Rosen, J.J., and Jennings, M.B., 2024, Evaluation of sensors for continuous monitoring of harmful algal blooms in the Finger Lakes region, New York, 2019 and 2020: U.S. Geological Survey Scientific Investigations Report 2024–5010, 54 p., https://doi.org/10.3133/sir20245010.","productDescription":"Report: vii, 54 p.; 2 Data Releases","numberOfPages":"54","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-151193","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":426806,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TP9T1D","text":"USGS data release","linkHelpText":"Phytoplankton data from Owasco, Seneca, and Skaneateles Lakes, Finger Lakes region, New York, 2019–2020 (ver. 2.1, June 2023)"},{"id":426805,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9046YOS","text":"USGS data release","linkHelpText":"Field data for an evaluation of sensors for continuous monitoring of harmful algal blooms in the Finger Lakes, New York, 2019 and 2020"},{"id":426804,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5010/images/"},{"id":426803,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5010/sir20245010.XML"},{"id":426802,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245010/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5010 HTML"},{"id":499423,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_116207.htm","linkFileType":{"id":5,"text":"html"}},{"id":426800,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5010/coverthb.jpg"},{"id":426801,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5010/sir20245010.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5010 PDF"}],"country":"United States","state":"New York","otherGeospatial":"Finger Lakes Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.18392460037663,\n              43.28424086245511\n            ],\n            [\n              -78.18392460037663,\n              42.10263922827107\n            ],\n            [\n              -76.00088907460236,\n              42.10263922827107\n            ],\n            [\n              -76.00088907460236,\n              43.28424086245511\n            ],\n            [\n              -78.18392460037663,\n              43.28424086245511\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\n\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Description of Study Area</li><li>Monitoring-Station Platform Design</li><li>Methods</li><li>Time Series Data Quality Assurance and Quality Control</li><li>Discrete Sample Quality Assurance and Quality Control</li><li>Lessons Learned</li><li>Sensor Performance and Evaluation Discussion</li><li>Informing Future Monitoring and Research Approaches</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-03-26","noUsgsAuthors":false,"publicationDate":"2024-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnston, Brett D. 0000-0003-2991-4976","orcid":"https://orcid.org/0000-0003-2991-4976","contributorId":206233,"corporation":false,"usgs":true,"family":"Johnston","given":"Brett","email":"","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896956,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Finkelstein, Kaitlyn M. 0000-0003-1588-3312","orcid":"https://orcid.org/0000-0003-1588-3312","contributorId":202727,"corporation":false,"usgs":true,"family":"Finkelstein","given":"Kaitlyn","email":"","middleInitial":"M.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896957,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gifford, Sabina R. 0000-0002-0724-4986","orcid":"https://orcid.org/0000-0002-0724-4986","contributorId":310415,"corporation":false,"usgs":true,"family":"Gifford","given":"Sabina","email":"","middleInitial":"R.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896958,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stouder, Michael D.W. 0000-0002-0446-2574","orcid":"https://orcid.org/0000-0002-0446-2574","contributorId":301805,"corporation":false,"usgs":true,"family":"Stouder","given":"Michael","middleInitial":"D.W.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896959,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nystrom, Elizabeth A. 0000-0002-0886-3439 nystrom@usgs.gov","orcid":"https://orcid.org/0000-0002-0886-3439","contributorId":1072,"corporation":false,"usgs":true,"family":"Nystrom","given":"Elizabeth","email":"nystrom@usgs.gov","middleInitial":"A.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896960,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Savoy, Philip 0000-0002-6075-837X","orcid":"https://orcid.org/0000-0002-6075-837X","contributorId":300288,"corporation":false,"usgs":true,"family":"Savoy","given":"Philip","email":"","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":896964,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosen, Joshua J. 0000-0001-5420-033X","orcid":"https://orcid.org/0000-0001-5420-033X","contributorId":332009,"corporation":false,"usgs":true,"family":"Rosen","given":"Joshua","email":"","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896962,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jennings, Matthew B. 0000-0002-3783-5875 mbjennin@usgs.gov","orcid":"https://orcid.org/0000-0002-3783-5875","contributorId":334696,"corporation":false,"usgs":true,"family":"Jennings","given":"Matthew","email":"mbjennin@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896963,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70252744,"text":"70252744 - 2024 - The Metzger marsh restoration: A vegetation-centric look after 27 years","interactions":[],"lastModifiedDate":"2024-04-04T14:40:37.383789","indexId":"70252744","displayToPublicDate":"2024-03-26T09:37:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"The Metzger marsh restoration: A vegetation-centric look after 27 years","docAbstract":"<p><span>We investigated wetland vegetation before, during, and after dike construction at the Metzger Marsh project in western Lake Erie, which was designed to restore a 300-ha wetland that had been degraded following the loss of a protective barrier beach. A dike was constructed in 1995 to replace the function of the eroded barrier beach, but it contained a water-control structure to allow managed hydrologic connection to the lake. The control structure contained a fish passageway to allow movement of fish across the dike, while restricting entry of large common carp. Color-infrared aerial photos from project start in 1994 through 2010 (and 2022) were analyzed to track vegetation changes, and major vegetation types were sampled quantitatively. Drawdown of water levels in 1996 after dike construction elicited a response of mudflat species from the seed bank, as well as tree seedlings. Over half of the marsh was vegetated then and in subsequent years. The water-control structure was opened in 1998, and by 2000, invasive&nbsp;</span><i>Phragmites australis</i><span>&nbsp;had gained dominance. Most trees were eventually eliminated by herbicide treatment and flooding, and extent of&nbsp;</span><i>Phragmites</i><span>&nbsp;was reduced by management actions.&nbsp;</span><i>Typha</i><span>&nbsp;spp. and emergents&nbsp;</span><i>Sagittaria latifolia</i><span>&nbsp;and&nbsp;</span><i>Schoenoplectus tabernaemontani</i><span>&nbsp;became dominant by 2022. This restoration project increased habitat values for fish and wildlife; it also provided lessons for future projects on lands managed by multiple agencies with differing missions. More importantly, it showed that long-term monitoring data are critical for assessing wetland restoration projects and guiding management decisions.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102309","usgsCitation":"Wilcox, D., Kowalski, K., and Bozimowski, A.A., 2024, The Metzger marsh restoration: A vegetation-centric look after 27 years: Journal of Great Lakes Research, v. 50, no. 2, 102309, 12 p., https://doi.org/10.1016/j.jglr.2024.102309.","productDescription":"102309, 12 p.","ipdsId":"IP-157465","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":427396,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Ohio","otherGeospatial":"Metzger Marsh","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.21526317873082,\n              41.63861198193294\n            ],\n            [\n              -83.24120906559943,\n              41.650434477459726\n            ],\n            [\n              -83.2513342897436,\n              41.64523284668019\n            ],\n            [\n              -83.25101787648906,\n              41.63813903699173\n            ],\n            [\n              -83.23867775956381,\n              41.63766608857978\n            ],\n            [\n              -83.21526317873082,\n              41.63861198193294\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilcox, Douglas A.","contributorId":244846,"corporation":false,"usgs":false,"family":"Wilcox","given":"Douglas A.","affiliations":[{"id":48999,"text":"Department of Environmental Science and Ecology, The College at Brockport – State University of New York, Brockport, NY","active":true,"usgs":false}],"preferred":false,"id":898064,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":898065,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bozimowski, Alexandra A 0000-0002-0835-1089","orcid":"https://orcid.org/0000-0002-0835-1089","contributorId":328563,"corporation":false,"usgs":true,"family":"Bozimowski","given":"Alexandra","email":"","middleInitial":"A","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":898066,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70252527,"text":"70252527 - 2024 - Pre-existing ground cracks as lava flow pathways at Kīlauea in 2014","interactions":[],"lastModifiedDate":"2024-03-27T12:15:17.293816","indexId":"70252527","displayToPublicDate":"2024-03-26T07:13:31","publicationYear":"2024","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":"Pre-existing ground cracks as lava flow pathways at Kīlauea in 2014","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>In 2014, the Pāhoa lava flow at Kīlauea, on the Island of Hawaiʻi (USA), entered a string of pre-existing meter-width ground cracks in the volcano’s East Rift Zone. The ground cracks transported lava below the surface in a direction discordant to the slope of the landscape. The cracks, which were 100s of meters long and 10s to 100s of meters deep, also widened by up to several meters as they filled, probably in part at the expense of adjacent cracks, which likely closed. Widening of the cracks caused shallow crustal blocks on the volcano’s flank to shift—this deformation was captured by a nearby GPS station and a borehole tiltmeter. The GPS station moved away from the cracks in response, while the tiltmeter showed tilting toward the cracks, consistent with opening. Noting that the lava-filled cracks act as top-fed dikes, we adapt existing theory for the thermo-rheological evolution of dikes to analyze transport of lava captured by ground cracks and propose mechanisms for the exit of the lava back to the surface. This study shows that ground cracks as narrow as 50&nbsp;cm wide can facilitate the transport of advancing lava flows and can carry lava in directions that differ from those expected based on surface topography, invalidating flow path projections based on the assumption of subaerial flow.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00445-024-01725-9","usgsCitation":"Orr, T., Llewellin, E.W., Anderson, K.R., and Patrick, M.R., 2024, Pre-existing ground cracks as lava flow pathways at Kīlauea in 2014: Bulletin of Volcanology, v. 86, 41, 14 p., https://doi.org/10.1007/s00445-024-01725-9.","productDescription":"41, 14 p.","ipdsId":"IP-123768","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467021,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://durham-repository.worktribe.com/output/2466015","text":"External Repository"},{"id":427142,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.54727033459406,\n              19.586217561426423\n            ],\n            [\n              -155.54727033459406,\n              19.198014112719846\n            ],\n            [\n              -155.01423545893465,\n              19.198014112719846\n            ],\n            [\n              -155.01423545893465,\n              19.586217561426423\n            ],\n            [\n              -155.54727033459406,\n              19.586217561426423\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"86","noUsgsAuthors":false,"publicationDate":"2024-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Orr, Tim R. 0000-0003-1157-7588","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":26365,"corporation":false,"usgs":true,"family":"Orr","given":"Tim R.","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":true,"id":897424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Llewellin, Edward W. 0000-0003-2165-7426","orcid":"https://orcid.org/0000-0003-2165-7426","contributorId":247599,"corporation":false,"usgs":false,"family":"Llewellin","given":"Edward","email":"","middleInitial":"W.","affiliations":[{"id":25252,"text":"Durham University","active":true,"usgs":false}],"preferred":true,"id":897425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anderson, Kyle R. 0000-0001-8041-3996 kranderson@usgs.gov","orcid":"https://orcid.org/0000-0001-8041-3996","contributorId":3522,"corporation":false,"usgs":true,"family":"Anderson","given":"Kyle","email":"kranderson@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":897426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Patrick, Matthew R. 0000-0002-8042-6639 mpatrick@usgs.gov","orcid":"https://orcid.org/0000-0002-8042-6639","contributorId":2070,"corporation":false,"usgs":true,"family":"Patrick","given":"Matthew","email":"mpatrick@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":897427,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252694,"text":"70252694 - 2024 - Controls on in-stream nitrogen loss in western Lake Erie tributaries","interactions":[],"lastModifiedDate":"2024-04-03T14:15:02.853271","indexId":"70252694","displayToPublicDate":"2024-03-26T07:00:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Controls on in-stream nitrogen loss in western Lake Erie tributaries","docAbstract":"<p>Management efforts to reduce cyanobacterial harmful algal blooms (cHABs) in the Great Lakes have focused on decreasing tributary inputs of phosphorus (P). Recent research has indicated that reduction of both P and nitrogen (N) can lessen cHABs severity. Microbially mediated N cycling in streambed sediment may reduce N riverine loads, yet little is known about in-stream N processing rates in the Maumee River Basin, a major source of nutrients to Lake Erie. During summer of 2019 and 2021, we sampled streambed sediment to measure potential nitrification and denitrification rates using the acetylene block method at 78 sites throughout the Maumee River network. We used structural equation models to identify indirect and direct drivers of denitrification. Precipitation was greater in 2019, resulting in a 67 % increase in mean discharge, 41 % of farm fields to be fallow, and a 50 % reduction in fertilizer use. During summer field surveys, median stream-water nitrate concentrations were not different between 2019 and 2021. Median denitrification rates were 13.3 mg N/m2/h and 31.2 mg N/m2/h, respectively, indicating high potential to remove N. Nitrate concentrations and nitrification rates were strong direct drivers of denitrification, especially in 2019 when coupled nitrification–denitrification sustained denitrification. Nitrate concentrations varied with land use. Notably, nitrate concentrations increased with the area of fallow land, which may indicate the presence of a legacy N source. These findings indicate that promoting streambed denitrification could reduce N loads to Lake Erie, but legacy N currently stored in the system may mask N reduction efforts.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2024.102284","usgsCitation":"Kreiling, R.M., Bartsch, L., Perner, P.M., Breckner, K.J., Williamson, T.N., Hood, J.M., Manning, N., and Johnson, L.T., 2024, Controls on in-stream nitrogen loss in western Lake Erie tributaries: Journal of Great Lakes Research, v. 50, no. 2, 102284, https://doi.org/10.1016/j.jglr.2024.102284.","productDescription":"102284","ipdsId":"IP-155751","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":427346,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana, Michigan, Ohio","otherGeospatial":"Maumee River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.1,\n              42\n            ],\n            [\n              -85.1,\n              40.52\n            ],\n            [\n              -83,\n              40.52\n            ],\n            [\n              -83,\n              42\n            ],\n            [\n              -85.1,\n              42\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"50","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":202193,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartsch, Lynn A. 0000-0002-1483-4845 lbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-1483-4845","contributorId":149360,"corporation":false,"usgs":true,"family":"Bartsch","given":"Lynn A.","email":"lbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perner, Patrik Mathis 0000-0002-6142-518X","orcid":"https://orcid.org/0000-0002-6142-518X","contributorId":261675,"corporation":false,"usgs":true,"family":"Perner","given":"Patrik","email":"","middleInitial":"Mathis","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Breckner, Kenna Jean 0000-0002-8358-7825","orcid":"https://orcid.org/0000-0002-8358-7825","contributorId":301096,"corporation":false,"usgs":true,"family":"Breckner","given":"Kenna","email":"","middleInitial":"Jean","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897944,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897945,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hood, James M.","contributorId":267332,"corporation":false,"usgs":false,"family":"Hood","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":897946,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Manning, Nathan F.","contributorId":211818,"corporation":false,"usgs":false,"family":"Manning","given":"Nathan F.","affiliations":[],"preferred":false,"id":897947,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Laura T.","contributorId":301097,"corporation":false,"usgs":false,"family":"Johnson","given":"Laura","email":"","middleInitial":"T.","affiliations":[{"id":16990,"text":"Heidelberg University","active":true,"usgs":false}],"preferred":false,"id":897948,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70252572,"text":"70252572 - 2024 - Relation between the relative abundance and collapse of Aphanizomenon flos-aquae and microbial antagonism in Upper Klamath Lake, Oregon","interactions":[],"lastModifiedDate":"2024-04-23T15:20:27.116817","indexId":"70252572","displayToPublicDate":"2024-03-26T06:46:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1619,"text":"FEMS Microbiology Ecology","onlineIssn":"1574-6941","printIssn":"0168-6496","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Relation between the relative abundance and collapse of <i>Aphanizomenon flos-aquae</i> and microbial antagonism in Upper Klamath Lake, Oregon","title":"Relation between the relative abundance and collapse of Aphanizomenon flos-aquae and microbial antagonism in Upper Klamath Lake, Oregon","docAbstract":"<p class=\"chapter-para\"><i>Aphanizomenon flos-aquae</i><span>&nbsp;</span>(AFA) is the dominant filamentous cyanobacterium that develops into blooms in Upper Klamath Lake, Oregon each year. During AFA bloom and collapse, ecosystem conditions for endangered Lost River and shortnose suckers deteriorate, thus motivating the need to identify processes that limit AFA abundance and decline. Here we investigate the relations between AFA and other members of the microbial community (photosynthetic and non-photosynthetic bacteria and archaea), how those relations impact abundance and collapse of AFA, and the types of microbial conditions that suppress AFA. We found significant spatial variation in AFA relative abundance during the 2016 bloom period using 16S rRNA sequencing. The Pelican Marina (PM) site had the lowest AFA relative abundance, and this was coincident with increased relative abundance of<span>&nbsp;</span><i>Candidatus</i><span>&nbsp;</span>Sericytochromatia<i>, Flavobacterium</i>, and<span>&nbsp;</span><i>Rheinheimera</i>, some of which are known AFA antagonists. The AFA collapse coincided with phosphorus limitation relative to nitrogen and the increased relative abundance of<span>&nbsp;</span><i>Cyanobium</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Candidatus</i><span>&nbsp;</span>Sericytochromatia, which outcompete AFA when dissolved inorganic nitrogen is available. The data collected in this study indicate the importance of dissolved inorganic nitrogen combined with microbial community structure in suppressing AFA abundance.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/femsec/fiae043","usgsCitation":"Underwood, J.C., Hall, N., Mumford, A.C., Harvey, R.W., Bliznik, P.A., and Jeanis, K.M., 2024, Relation between the relative abundance and collapse of Aphanizomenon flos-aquae and microbial antagonism in Upper Klamath Lake, Oregon: FEMS Microbiology Ecology, v. 100, no. 5, fiae043, 17 p., https://doi.org/10.1093/femsec/fiae043.","productDescription":"fiae043, 17 p.","ipdsId":"IP-158523","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":440040,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/femsec/fiae043","text":"Publisher Index Page"},{"id":427201,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.13875156377131,\n              42.60410392580064\n            ],\n            [\n              -122.13875156377131,\n              42.22167407870424\n            ],\n            [\n              -121.75955528186908,\n              42.22167407870424\n            ],\n            [\n              -121.75955528186908,\n              42.60410392580064\n            ],\n            [\n              -122.13875156377131,\n              42.60410392580064\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"100","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-03-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Underwood, Jennifer C. 0000-0002-2702-0410 jcunder@usgs.gov","orcid":"https://orcid.org/0000-0002-2702-0410","contributorId":294555,"corporation":false,"usgs":true,"family":"Underwood","given":"Jennifer","email":"jcunder@usgs.gov","middleInitial":"C.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":897575,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hall, Natalie Celeste 0000-0002-6448-162X","orcid":"https://orcid.org/0000-0002-6448-162X","contributorId":245015,"corporation":false,"usgs":true,"family":"Hall","given":"Natalie Celeste","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":897576,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":171791,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":897577,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harvey, Ronald W. 0000-0002-2791-8503","orcid":"https://orcid.org/0000-0002-2791-8503","contributorId":294558,"corporation":false,"usgs":false,"family":"Harvey","given":"Ronald","email":"","middleInitial":"W.","affiliations":[{"id":63603,"text":"U.S. Geological Survey, Water Mission Area, ESPD","active":true,"usgs":false}],"preferred":false,"id":897578,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bliznik, Paul Anthony 0000-0001-7461-8645","orcid":"https://orcid.org/0000-0001-7461-8645","contributorId":297187,"corporation":false,"usgs":true,"family":"Bliznik","given":"Paul","email":"","middleInitial":"Anthony","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":897579,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jeanis, Kaitlyn Michelle 0000-0003-0694-6115","orcid":"https://orcid.org/0000-0003-0694-6115","contributorId":330178,"corporation":false,"usgs":true,"family":"Jeanis","given":"Kaitlyn","email":"","middleInitial":"Michelle","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":897580,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
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