{"pageNumber":"10","pageRowStart":"225","pageSize":"25","recordCount":4111,"records":[{"id":70254432,"text":"70254432 - 2024 - The dominance and growth of shallow groundwater resources in continuous permafrost environments","interactions":[],"lastModifiedDate":"2024-05-24T11:49:09.637699","indexId":"70254432","displayToPublicDate":"2024-05-20T06:47:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3164,"text":"Proceedings of the National Academy of Sciences","active":true,"publicationSubtype":{"id":10}},"title":"The dominance and growth of shallow groundwater resources in continuous permafrost environments","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>Water is a limited resource in Arctic watersheds with continuous permafrost because freezing conditions in winter and the impermeability of permafrost limit storage and connectivity between surface water and deep groundwater. However, groundwater can still be an important source of surface water in such settings, feeding springs and large aufeis fields that are abundant in cold regions and generating runoff when precipitation is rare. Whether groundwater is sourced from suprapermafrost taliks or deeper regional aquifers will impact water availability as the Arctic continues to warm and thaw. Previous research is ambiguous about the role of deep groundwater, leading to uncertainty regarding Arctic water availability and changing water resources. We analyzed chemistry and residence times of spring, stream, and river waters in the continuous permafrost zone of Alaska, spanning the mountains to the coastal plain. Water chemistry and age tracers show that surface waters are predominately sourced from recent precipitation and have short (&lt;50 y) subsurface residence times. Remote sensing indicates trends in the areal extent of aufeis over the last 37 y, and correlations between aufeis extent and previous year summer temperature. Together, these data indicate that surface waters in continuous permafrost regions may be impacted by short flow paths and shallow suprapermafrost aquifers that are highly sensitive to climatic and hydrologic change over annual timescales. Despite the lack of connection to regional aquifers, continued warming and permafrost thaw may promote deepening of the shallow subsurface aquifers and creation of shallow taliks, providing some resilience to Arctic freshwater ecosystems.</div></div></div>","language":"English","publisher":"Proceedings of the National Academy of Sciences","doi":"10.1073/pnas.2317873121","usgsCitation":"Koch, J.C., Connolly, C.T., Baughman, C., Repasch, M., Best, H., and Hunt, A., 2024, The dominance and growth of shallow groundwater resources in continuous permafrost environments: Proceedings of the National Academy of Sciences, v. 121, no. 23, e2317873121, https://doi.org/10.1073/pnas.2317873121.","productDescription":"e2317873121","ipdsId":"IP-158722","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":467007,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.2317873121","text":"External Repository"},{"id":434956,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P95CXJIT","text":"USGS data release","linkHelpText":"Hydrochemistry and Age Date Tracers from Springs, Streams, and Rivers in the Arctic National Wildlife Refuge, 2019-2022"},{"id":429241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"121","issue":"23","noUsgsAuthors":false,"publicationDate":"2024-05-20","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":901352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Connolly, Craig T.","contributorId":255063,"corporation":false,"usgs":false,"family":"Connolly","given":"Craig","email":"","middleInitial":"T.","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":901353,"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":901354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Repasch, Marisa 0000-0003-2636-9896","orcid":"https://orcid.org/0000-0003-2636-9896","contributorId":334190,"corporation":false,"usgs":false,"family":"Repasch","given":"Marisa","email":"","affiliations":[],"preferred":false,"id":901355,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":901356,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hunt, Andrew G. 0000-0002-3810-8610","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":206197,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":901357,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70254219,"text":"70254219 - 2024 - To mix or not to mix: Details of magma storage, recharge, and remobilization during the Pacheco stage at Misti Volcano, Peru (≤21–2 ka)","interactions":[],"lastModifiedDate":"2024-06-18T13:57:48.36313","indexId":"70254219","displayToPublicDate":"2024-05-18T11:31:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"To mix or not to mix: Details of magma storage, recharge, and remobilization during the Pacheco stage at Misti Volcano, Peru (≤21–2 ka)","docAbstract":"<p><span>We investigate ten of the most recent tephra-fall deposits emplaced between ≤21–2 ka from the Pacheco stage of Misti volcano, Peru, to elucidate magma dynamics and explosive eruption triggers related to magma storage, recharge, and remobilization. Whole-rock, glass, and mineral textures and compositions indicate the presence of broadly felsic, intermediate, and mafic magmas in a chemically and thermally stratified magma storage system (Zones 1–3) that interact to differing extents prior to eruption. Intermediate magmas are defined by plagioclase + amphibole + two-pyroxenes + Fe-Ti oxides and phase equilibria indicate they formed at ~300–600 MPa and ~950–1000 °C. Intermediate magmas dominate the Pacheco stage and either erupted alone as hybridized magmas or mingled with minor volumes of cool felsic magmas (~800 °C) in which only plagioclase + Fe-Ti oxides are stable. Felsic magmas do not exclusively comprise any tephra-fall deposit emplaced during the Pacheco stage but were remobilized by recharge and mixing with intermediate magmas in order to erupt. Furthermore, felsic-hosted amphibole cognate to the intermediate magmas are reacted despite the felsic magmas being water saturated, which suggests they are staged above the amphibole stability limit (≤200 MPa). The cryptic presence of mafic magmas is indicated by high-An plagioclase cores (An</span><sub>74–88</sub><span>), rare anhedral olivine (Fo</span><sub>77–80</sub><span>), and possibly high Mg# augite and amphibole (up to Mg# 84 and 77, respectively). The dearth of basalt to basaltic andesite melts recorded in erupted glasses and exclusivity of high-An plagioclase to crystal cores signals mafic magmas are staged deeper in the crust than the intermediate magmas. Periodic interactions between these magmas tracked via glass compositions and crystal exchange reveal an alternation between the production of mingled magmas and their eruption shortly after a recharge event, followed by a period of homogenization and eruption of hybridized magmas. As such, we identify magma recharge as a key mechanism by which half of the explosive eruptions were triggered in the Pacheco stage. A &gt;100 °C increase in Misti’s fumarole temperatures from 1967 to 2018 coincident with changes in fumarolic gas composition is consistent with degassing of a mafic recharge magma, signaling that Misti could produce similar explosive eruptions in the future.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/petrology/egae050","usgsCitation":"Takach, M.K., Tepley, F.J., Harpel, C., Aguilar, R., and Rivera, M., 2024, To mix or not to mix: Details of magma storage, recharge, and remobilization during the Pacheco stage at Misti Volcano, Peru (≤21–2 ka): Journal of Petrology, v. 65, no. 6, egse050, 27 p., https://doi.org/10.1093/petrology/egae050.","productDescription":"egse050, 27 p.","ipdsId":"IP-153038","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":439572,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egae050","text":"Publisher Index Page"},{"id":434959,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XAY8WD","text":"USGS data release","linkHelpText":"Geochemical data for the Pacheco stage tephra-fall deposits from Misti volcano, Arequipa, Peru"},{"id":428844,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","otherGeospatial":"Misti Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.3199980846973,\n              -16.21886271090787\n            ],\n            [\n              -71.55295001118235,\n              -16.21886271090787\n            ],\n            [\n              -71.55295001118235,\n              -16.37617235938167\n            ],\n            [\n              -71.3199980846973,\n              -16.37617235938167\n            ],\n            [\n              -71.3199980846973,\n              -16.21886271090787\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"65","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-05-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Takach, Marie K.","contributorId":304046,"corporation":false,"usgs":false,"family":"Takach","given":"Marie","email":"","middleInitial":"K.","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":900651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tepley, Frank J.","contributorId":333855,"corporation":false,"usgs":false,"family":"Tepley","given":"Frank","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":900652,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harpel, Christopher 0000-0001-8587-7845","orcid":"https://orcid.org/0000-0001-8587-7845","contributorId":204746,"corporation":false,"usgs":true,"family":"Harpel","given":"Christopher","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":900653,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aguilar, Rigoberto","contributorId":252547,"corporation":false,"usgs":false,"family":"Aguilar","given":"Rigoberto","affiliations":[{"id":50431,"text":"Observatorio Vulcanologico del Instituto Geologico, Minero y Metalurgico del Peru","active":true,"usgs":false}],"preferred":false,"id":900654,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rivera, Marco","contributorId":190926,"corporation":false,"usgs":false,"family":"Rivera","given":"Marco","email":"","affiliations":[],"preferred":false,"id":900655,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70263625,"text":"70263625 - 2024 - Why do seismic hazard models worldwide appear to overpredict historical intensity observations?","interactions":[],"lastModifiedDate":"2025-02-18T15:27:18.152919","indexId":"70263625","displayToPublicDate":"2024-05-01T08:19:49","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Why do seismic hazard models worldwide appear to overpredict historical intensity observations?","docAbstract":"<p><span>Probabilistic seismic hazard assessments (PSHAs) provide the scientific basis for building codes to reduce damage from earthquakes. Despite their substantial impact, little is known about how well PSHA predicts actual shaking. Recent PSHA for California, Japan, Italy, Nepal, and France appear to consistently overpredict historically observed earthquake shaking intensities. Numerical simulations show that observed shaking is equally likely to be above or below predictions. This result from independently developed models and datasets in different countries and tectonic settings indicates possible systematic bias in the hazard models, the observations, or both. Analysis of possible causes shows that much of the discrepancy is due to a subtle and rarely considered issue: the conversion equations used in comparing the models—which forecast shaking as peak ground acceleration or velocity—and observations—parameterizations of qualitative shaking reports. Historical shaking reports fill a crucial data gap, but more research is warranted on how qualitative observations relate to instrumental shaking measures for earthquakes.</span></p>","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adj9291","usgsCitation":"Salditch, L.M., Gallahue, M.M., Stein, S., Neely, J.S., Abrahamson, N., and Hough, S.E., 2024, Why do seismic hazard models worldwide appear to overpredict historical intensity observations?: Science Advances, v. 10, no. 18, eadj9291, 6 p., https://doi.org/10.1126/sciadv.adj9291.","productDescription":"eadj9291, 6 p.","ipdsId":"IP-155475","costCenters":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"links":[{"id":489938,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adj9291","text":"Publisher Index 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University","active":true,"usgs":false}],"preferred":false,"id":927601,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Neely, James S.","contributorId":263454,"corporation":false,"usgs":false,"family":"Neely","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":25254,"text":"Northwestern University","active":true,"usgs":false}],"preferred":false,"id":927602,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Abrahamson, Norman A.","contributorId":45202,"corporation":false,"usgs":false,"family":"Abrahamson","given":"Norman A.","affiliations":[{"id":13174,"text":"Pacific Gas & Electric","active":true,"usgs":false}],"preferred":false,"id":927603,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hough, Susan E. 0000-0002-5980-2986","orcid":"https://orcid.org/0000-0002-5980-2986","contributorId":263442,"corporation":false,"usgs":true,"family":"Hough","given":"Susan","email":"","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":927604,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70253906,"text":"70253906 - 2024 - Influence of organic matter thermal maturity on rare earth element distribution: A study of Middle Devonian black shales from the Appalachian Basin, USA","interactions":[],"lastModifiedDate":"2024-06-04T10:46:21.394306","indexId":"70253906","displayToPublicDate":"2024-04-28T09:47:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10757,"text":"Energies","active":true,"publicationSubtype":{"id":10}},"title":"Influence of organic matter thermal maturity on rare earth element distribution: A study of Middle Devonian black shales from the Appalachian Basin, USA","docAbstract":"<p><span>This study focuses on understanding the association of rare earth elements (REE; lanthanides + yttrium + scandium) with organic matter from the Middle Devonian black shales of the Appalachian Basin. Developing a better understanding of the role of organic matter (OM) and thermal maturity in REE partitioning may help improve current geochemical models of REE enrichment in a wide range of black shales. We studied relationships between whole rock REE content and total organic carbon (TOC) and compared the correlations with a suite of global oil shales that contain TOC as high as 60 wt.%. The sequential leaching of the Appalachian shale samples was conducted to evaluate the REE content associated with carbonates, Fe–Mn oxyhydroxides, sulfides, and organics. Finally, the residue from the leaching experiment was analyzed to assess the mineralogical changes and REE extraction efficiency. Our results show that heavier REE (HREE) have a positive correlation with TOC in our Appalachian core samples. However, data from the global oil shales display an opposite trend. We propose that although TOC controls REE enrichment, thermal maturation likely plays a critical role in HREE partitioning into refractory organic phases, such as pyrobitumen. The REE inventory from a core in the Appalachian Basin shows that (1) the total REE ranges between 180 and 270 ppm and the OM-rich samples tend to contain more REE than the calcareous shales; (2) there is a relatively higher abundance of middle REE (MREE) to HREE than lighter REE (LREE); (3) there is a disproportionate increase in Y and Tb with TOC likely due to the rocks being over-mature; and (4) the REE extraction demonstrates that although the OM has higher HREE concentration, the organic leachates contain more LREE, suggesting it is more challenging to extract HREE from OM than using traditional leaching techniques.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/en17092107","usgsCitation":"Bhattacharya, S., Sharma, S., Agrawal, V., Dix, M.C., Zanoni, G., Birdwell, J.E., Wylie, A.S., and Wagner, T., 2024, Influence of organic matter thermal maturity on rare earth element distribution: A study of Middle Devonian black shales from the Appalachian Basin, USA: Energies, v. 17, no. 9, 2107, 23 p., https://doi.org/10.3390/en17092107.","productDescription":"2107, 23 p.","ipdsId":"IP-160281","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":439736,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/en17092107","text":"Publisher Index Page"},{"id":428357,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Middle Devonian Appalachian Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -85.019722212101,\n              35.09354117626262\n            ],\n            [\n              -80.0893868493873,\n              35.83616426236574\n            ],\n            [\n              -75.48876301910367,\n              41.23650512855389\n            ],\n            [\n              -74.6944038739024,\n              43.48785346597265\n            ],\n            [\n              -79.3043542917768,\n              42.997887934674736\n            ],\n            [\n              -83.72355980871455,\n              37.83971543304291\n            ],\n            [\n              -85.019722212101,\n              35.09354117626262\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"17","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-04-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Bhattacharya, Shailee","contributorId":336153,"corporation":false,"usgs":false,"family":"Bhattacharya","given":"Shailee","email":"","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":900057,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sharma, Shikha","contributorId":336154,"corporation":false,"usgs":false,"family":"Sharma","given":"Shikha","email":"","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":900058,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Agrawal, Vikas","contributorId":336156,"corporation":false,"usgs":false,"family":"Agrawal","given":"Vikas","email":"","affiliations":[{"id":12432,"text":"West Virginia University","active":true,"usgs":false}],"preferred":false,"id":900059,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dix, Michael C.","contributorId":336159,"corporation":false,"usgs":false,"family":"Dix","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":80761,"text":"Consultant (formerly with PremierCorex)","active":true,"usgs":false}],"preferred":false,"id":900060,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zanoni, Giovanni","contributorId":336160,"corporation":false,"usgs":false,"family":"Zanoni","given":"Giovanni","email":"","affiliations":[{"id":80763,"text":"RohmTek, Houston, TX","active":true,"usgs":false}],"preferred":false,"id":900061,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":900062,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wylie, Albert S. Jr.","contributorId":336282,"corporation":false,"usgs":false,"family":"Wylie","given":"Albert","suffix":"Jr.","email":"","middleInitial":"S.","affiliations":[{"id":80764,"text":"Independent researcher, Mohawk, MI","active":true,"usgs":false}],"preferred":false,"id":900063,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagner, Tom","contributorId":336283,"corporation":false,"usgs":false,"family":"Wagner","given":"Tom","email":"","affiliations":[],"preferred":false,"id":900064,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70254221,"text":"70254221 - 2024 - Post-fire reference densities for giant sequoia seedlings in a new era of high-severity wildfires","interactions":[],"lastModifiedDate":"2024-05-14T11:49:04.261789","indexId":"70254221","displayToPublicDate":"2024-04-26T06:46:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1687,"text":"Forest Ecology and Management","active":true,"publicationSubtype":{"id":10}},"title":"Post-fire reference densities for giant sequoia seedlings in a new era of high-severity wildfires","docAbstract":"<div id=\"preview-section-abstract\"><div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"ab0010\" class=\"abstract author\"><div id=\"abs0010\"><p id=\"sp0040\">Many forests globally are experiencing increases in large, high-severity wildfires, often with increasingly inadequate post-fire tree regeneration. To identify areas that might need post-fire planting, forest managers have a growing need for seedling reference densities – the natural seedling densities expected to be adequate to regenerate a forest – to compare with observed post-fire seedling densities. The most useful reference densities will meet five criteria: they will (1) be specific to natural post-fire reproduction rather than planted seedlings (because planted seedlings can have substantially greater survival than natural seedlings, thus underestimating adequate natural reproduction), (2) apply to the first few years following fire (when management decisions and actions are most likely), (3) be specific to each of those post-fire years (because post-fire seedling densities can change rapidly with time since fire), (4) be associated with estimates of uncertainty, and (5) include consideration of novel environmental conditions during management applications (because most reference densities will be based on data collected under more environmentally benign conditions). The world’s most massive tree species, the giant sequoia (<i>Sequoiadendron giganteum</i>) of California’s Sierra Nevada, recently experienced historically unprecedented wildfires that killed an estimated 13–19% of mature sequoias across their native range. Seedlings germinating after these fires then experienced exceptional summer heat and the two most severe summer droughts of the 121-year historical record. To help inform management responses to these events, we used seedling censuses from past fires (mostly prescribed fires) to calculate sequoia seedling reference densities meeting the five criteria. The reference densities had three striking features, which are partly attributable to giant sequoia’s status as a pioneer species. First, despite being inherently conservative, the reference densities were quite high. For example, mean first-year reference density was 172,599 seedlings ha<sup>−1</sup>. Second, reference densities declined precipitously with time since fire: the mean fifth-year reference density was only 5% of the mean first-year density. Third, the reference densities were associated with relatively substantial uncertainty, a consequence of density variations among seedling plots; for example, the 95% credible interval for first-year reference density was 64,377 to 313,438 seedlings ha<sup>−1</sup>. Despite this uncertainty, a case-study sequoia grove that recently burned in a high-severity wildfire had second-year post-fire seedling densities that were significantly (and dramatically) lower than the corresponding second-year reference density, suggesting inadequate post-fire reproduction. Our results highlight the value of the five criteria for reference densities – criteria that, in current practice, are rarely all met.</p></div></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.foreco.2024.121916","usgsCitation":"Stephenson, N.L., Caprio, A., Soderberg, D.N., Das, A., Lopez, E.L., and Williams, A.P., 2024, Post-fire reference densities for giant sequoia seedlings in a new era of high-severity wildfires: Forest Ecology and Management, v. 562, 121916, https://doi.org/10.1016/j.foreco.2024.121916.","productDescription":"121916","ipdsId":"IP-163384","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":488058,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.foreco.2024.121916","text":"Publisher Index Page"},{"id":428683,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"562","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stephenson, Nathan L. 0000-0003-0208-7229 nstephenson@usgs.gov","orcid":"https://orcid.org/0000-0003-0208-7229","contributorId":2836,"corporation":false,"usgs":true,"family":"Stephenson","given":"Nathan","email":"nstephenson@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900656,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Caprio, Anthony C.","contributorId":35863,"corporation":false,"usgs":false,"family":"Caprio","given":"Anthony C.","affiliations":[],"preferred":false,"id":900657,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soderberg, David Nicolas Bertil 0000-0002-8517-4143","orcid":"https://orcid.org/0000-0002-8517-4143","contributorId":316729,"corporation":false,"usgs":true,"family":"Soderberg","given":"David","email":"","middleInitial":"Nicolas Bertil","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900658,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Das, Adrian 0000-0002-3937-2616 adas@usgs.gov","orcid":"https://orcid.org/0000-0002-3937-2616","contributorId":201236,"corporation":false,"usgs":true,"family":"Das","given":"Adrian","email":"adas@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900659,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lopez, Eva Louisa 0000-0002-3648-273X","orcid":"https://orcid.org/0000-0002-3648-273X","contributorId":336662,"corporation":false,"usgs":true,"family":"Lopez","given":"Eva","email":"","middleInitial":"Louisa","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":900660,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williams, A. Park","contributorId":200207,"corporation":false,"usgs":false,"family":"Williams","given":"A.","email":"","middleInitial":"Park","affiliations":[{"id":27369,"text":"Lamont-Doherty Earth Observatory at Columbia University","active":true,"usgs":false}],"preferred":false,"id":900661,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70261957,"text":"70261957 - 2024 - Ecology shapes the genomic and biosynthetic diversification of Streptomyces bacteria from insectivorous bats","interactions":[],"lastModifiedDate":"2025-01-06T14:46:04.338702","indexId":"70261957","displayToPublicDate":"2024-04-16T08:42:46","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":"Ecology shapes the genomic and biosynthetic diversification of Streptomyces bacteria from insectivorous bats","docAbstract":"<p><span class=\"jp-italic\">Streptomyces</span><span>&nbsp;are prolific producers of secondary metabolites from which many clinically useful compounds have been derived. They inhabit diverse habitats but have rarely been reported in vertebrates. Here, we aim to determine to what extent the ecological source (bat host species and cave sites) influence the genomic and biosynthetic diversity of&nbsp;</span><span class=\"jp-italic\">Streptomyces</span><span>&nbsp;bacteria. We analysed draft genomes of 132&nbsp;</span><span class=\"jp-italic\">Streptomyces</span><span>&nbsp;isolates sampled from 11 species of insectivorous bats from six cave sites in Arizona and New Mexico, USA. We delineated 55 species based on the genome-wide average nucleotide identity and core genome phylogenetic tree.&nbsp;</span><span class=\"jp-italic\">Streptomyces</span><span>&nbsp;isolates that colonize the same bat species or inhabit the same site exhibit greater overall genomic similarity than they do with&nbsp;</span><span class=\"jp-italic\">Streptomyces</span><span>&nbsp;from other bat species or sites. However, when considering biosynthetic gene clusters (BGCs) alone, BGC distribution is not structured by the ecological or geographical source of the&nbsp;</span><span class=\"jp-italic\">Streptomyces</span><span>&nbsp;that carry them. Each genome carried between 19–65 BGCs (median=42.5) and varied even among members of the same&nbsp;</span><span class=\"jp-italic\">Streptomyces</span><span>&nbsp;species. Nine major classes of BGCs were detected in ten of the 11 bat species and in all sites: terpene, non-ribosomal peptide synthetase, polyketide synthase, siderophore, RiPP-like, butyrolactone, lanthipeptide, ectoine, melanin. Finally,&nbsp;</span><span class=\"jp-italic\">Streptomyces</span><span>&nbsp;genomes carry multiple hybrid BGCs consisting of signature domains from two to seven distinct BGC classes. Taken together, our results bring critical insights to understanding&nbsp;</span><span class=\"jp-italic\">Streptomyces</span><span>-bat ecology and BGC diversity that may contribute to bat health and in augmenting current efforts in natural product discovery, especially from underexplored or overlooked environments.</span></p>","language":"English","publisher":"International Society for Microbial Ecology Communications","doi":"10.1099/mgen.0.001238","usgsCitation":"Montoya-Giraldo, M., Piper, K., Ikhimiukor, O., Park, C., Caimi, N.A., Buecher, D.C., Valdez, E.W., Northup, D.E., and Andam, C., 2024, Ecology shapes the genomic and biosynthetic diversification of Streptomyces bacteria from insectivorous bats: Microbial Genomics, v. 16, no. 4, 001238, 11 p., https://doi.org/10.1099/mgen.0.001238.","productDescription":"001238, 11 p.","ipdsId":"IP-157474","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467015,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1099/mgen.0.001238","text":"Publisher Index Page"},{"id":465664,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Montoya-Giraldo, Manuela","contributorId":347765,"corporation":false,"usgs":false,"family":"Montoya-Giraldo","given":"Manuela","affiliations":[{"id":83228,"text":"State University of New York, Albany","active":true,"usgs":false}],"preferred":false,"id":922402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Piper, Kathryn R.","contributorId":347766,"corporation":false,"usgs":false,"family":"Piper","given":"Kathryn R.","affiliations":[{"id":83228,"text":"State University of New York, Albany","active":true,"usgs":false}],"preferred":false,"id":922403,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ikhimiukor, Odion O.","contributorId":347767,"corporation":false,"usgs":false,"family":"Ikhimiukor","given":"Odion O.","affiliations":[{"id":83228,"text":"State University of New York, Albany","active":true,"usgs":false}],"preferred":false,"id":922404,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Park, Cooper J.","contributorId":347768,"corporation":false,"usgs":false,"family":"Park","given":"Cooper J.","affiliations":[{"id":12667,"text":"University of New Hampshire","active":true,"usgs":false}],"preferred":false,"id":922405,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Caimi, Nicole A.","contributorId":193655,"corporation":false,"usgs":false,"family":"Caimi","given":"Nicole","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":922406,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Buecher, Debbie C.","contributorId":193657,"corporation":false,"usgs":false,"family":"Buecher","given":"Debbie","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":922407,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Valdez, Ernest W. 0000-0002-7262-3069 ernie@usgs.gov","orcid":"https://orcid.org/0000-0002-7262-3069","contributorId":3600,"corporation":false,"usgs":true,"family":"Valdez","given":"Ernest","email":"ernie@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":922408,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Northup, Diana E.","contributorId":193656,"corporation":false,"usgs":false,"family":"Northup","given":"Diana","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":922409,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Andam, Cheryl P.","contributorId":347769,"corporation":false,"usgs":false,"family":"Andam","given":"Cheryl P.","affiliations":[{"id":83228,"text":"State University of New York, Albany","active":true,"usgs":false}],"preferred":false,"id":922410,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70256590,"text":"70256590 - 2024 - Passive acoustic monitoring and convolutional neural networks facilitate high-resolution and broadscale monitoring of a threatened species","interactions":[],"lastModifiedDate":"2024-08-22T16:58:33.688064","indexId":"70256590","displayToPublicDate":"2024-04-13T11:52:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1456,"text":"Ecological Indicators","active":true,"publicationSubtype":{"id":10}},"title":"Passive acoustic monitoring and convolutional neural networks facilitate high-resolution and broadscale monitoring of a threatened species","docAbstract":"<p><span>Population monitoring is an essential component of biodiversity conservation and management, but low detection probabilities for rare and/or cryptic species makes estimating abundance and occupancy challenging. Passive acoustic monitoring combined with machine learning algorithms represents a potential path forward to effectively and efficiently monitor the occurrence of rare vocalizing species across entire forest landscapes. Our objectives were to develop and implement a convolutional neural network (PNW-Cnet) to identify vocalizations of a rare and threatened forest nesting bird species – the marbled murrelet (</span><i>Brachyramphus marmoratus</i><span>) – in the Pacific Northwest, U.S.A., 2018–2021. We used PNW-Cnet predictions from broadscale passive acoustic monitoring data to examine spatiotemporal patterns in the distribution of murrelets. PNW-Cnet showed sufficiently high prediction accuracy (overall precision&nbsp;&gt;&nbsp;0.9) to enable broadscale population monitoring. Spatiotemporal analysis showed that annual peak murrelet call abundance occurs in ordinal weeks 28–32 (late July–Mid August) but this varied by study area. The greatest number of detections typically occurred in the Olympic Peninsula and Oregon Coast Range where late-successional forest dominates and nearer to ocean habitats. We demonstrate that passive acoustic monitoring can be used to understand intensity of use across broad scales for a rare and cryptic species in addition to the typical detection/non-detection data that are often collected. Passive acoustic monitoring combined with PNW-Cnet offers considerable promise for species distribution modeling and long-term population monitoring for rare species.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolind.2024.112016","usgsCitation":"Duarte, A., Weldy, M.J., Lesmeister, D., Ruff, Z.J., Jenkins, J., Valente, J., and Betts, M., 2024, Passive acoustic monitoring and convolutional neural networks facilitate high-resolution and broadscale monitoring of a threatened species: Ecological Indicators, v. 162, 112016, 10 p., https://doi.org/10.1016/j.ecolind.2024.112016.","productDescription":"112016, 10 p.","ipdsId":"IP-157789","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439857,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolind.2024.112016","text":"Publisher Index Page"},{"id":433074,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon, Washington","otherGeospatial":"Olympic Peninsula, Oregon Coast Range","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -124.82459538488385,\n              48.38115798530862\n            ],\n            [\n              -124.82459538488385,\n              42.030390768092275\n            ],\n            [\n              -121.12717084896894,\n              42.030390768092275\n            ],\n            [\n              -121.12717084896894,\n              48.38115798530862\n            ],\n            [\n              -124.82459538488385,\n              48.38115798530862\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"162","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Duarte, Adam","contributorId":341270,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":39530,"text":"U.S.D.A. Forest Service","active":true,"usgs":false}],"preferred":false,"id":908170,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weldy, Matthew J.","contributorId":341271,"corporation":false,"usgs":false,"family":"Weldy","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":908171,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lesmeister, Damon B.","contributorId":341272,"corporation":false,"usgs":false,"family":"Lesmeister","given":"Damon B.","affiliations":[{"id":39530,"text":"U.S.D.A. Forest Service","active":true,"usgs":false}],"preferred":false,"id":908172,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ruff, Zachary J.","contributorId":341273,"corporation":false,"usgs":false,"family":"Ruff","given":"Zachary","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":908173,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jenkins, Julianna","contributorId":341274,"corporation":false,"usgs":false,"family":"Jenkins","given":"Julianna","email":"","affiliations":[{"id":39530,"text":"U.S.D.A. Forest Service","active":true,"usgs":false}],"preferred":false,"id":908174,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Valente, Jonathon Joseph 0000-0002-6519-3523","orcid":"https://orcid.org/0000-0002-6519-3523","contributorId":340615,"corporation":false,"usgs":true,"family":"Valente","given":"Jonathon Joseph","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908175,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Betts, Matthew G.","contributorId":341275,"corporation":false,"usgs":false,"family":"Betts","given":"Matthew G.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":908176,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70252988,"text":"70252988 - 2024 - Management implications of habitat selection by whooping cranes (Grus americana) on the Texas coast","interactions":[],"lastModifiedDate":"2024-04-16T15:35:55.516243","indexId":"70252988","displayToPublicDate":"2024-04-12T10:35:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Management implications of habitat selection by whooping cranes (<i>Grus americana</i>) on the Texas coast","title":"Management implications of habitat selection by whooping cranes (Grus americana) on the Texas coast","docAbstract":"<p><span>Effective habitat management for rare and endangered species requires a thorough understanding of their specific habitat requirements. Although machine learning models have been increasingly used in the analyses of habitat use by wildlife, the primary focus of these models has been on generating spatial predictions. In this study, we used machine learning models in combination with simulated management actions to guide planning and inform managers. We used data from 61 whooping cranes (</span><i>Grus americana</i><span>) tagged with GPS telemetry collars between 2009 and 2018 near Aransas National Wildlife Refuge in coastal Texas. We included variables based on topography, land use classification, vegetation height, plant phenology, drought, storm surge events, and both wild and prescribed fires. We then built models at multiple scales: population level, home range level, and roosting and daytime within home range level. We simulated responses to the two primary management actions used to enhance whooping crane habitat on Aransas National Wildlife Refuge: prescribed fire and removal of woody vegetation. At the population and home range scales, land use classification variables had the highest importance values, whereas the combined elevation and bathymetry layer was the most important predictor at both roosting and daytime within home range scales. Our findings revealed that the effects of fire, although generally modest, varied spatially. Areas dominated by estuarine wetlands exhibited higher predicted use within the first months after a fire, whereas those dominated by palustrine wetlands were more likely to be avoided in the immediate postfire years. Our simulation of vegetation removal identified the areas on Aransas National Wildlife Refuge where whooping cranes were predicted to benefit the most if vegetation were removed. These techniques can be used by other researchers wanting to examine and predict the effects of potential management actions on target species habitat.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ecs2.4820","usgsCitation":"Lehnen, S.E., Sesnie, S., Butler, M.J., Pearse, A.T., and Metzger, K.L., 2024, Management implications of habitat selection by whooping cranes (Grus americana) on the Texas coast: Ecosphere, v. 15, no. 4, e4820, 19 p., https://doi.org/10.1002/ecs2.4820.","productDescription":"e4820, 19 p.","ipdsId":"IP-154780","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":439863,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4820","text":"Publisher Index Page"},{"id":427816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -95.40722242363222,\n              28.90776261197753\n            ],\n            [\n              -97.13839987001899,\n              29.222267406234465\n            ],\n            [\n              -98.73867639073208,\n              28.864354149984962\n            ],\n            [\n              -98.56563608351834,\n              27.049501678715416\n            ],\n            [\n              -97.20145548476677,\n              26.91559995478883\n            ],\n            [\n              -95.40722242363222,\n              28.90776261197753\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Lehnen, Sarah E.","contributorId":145588,"corporation":false,"usgs":false,"family":"Lehnen","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":898862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sesnie, Steven E.","contributorId":315379,"corporation":false,"usgs":false,"family":"Sesnie","given":"Steven E.","affiliations":[{"id":68297,"text":"U.S. Fish and Wildlife Service, Division of Biological Sciences, Albuquerque, NM 87102, USA","active":true,"usgs":false}],"preferred":false,"id":898863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butler, Matthew J.","contributorId":296149,"corporation":false,"usgs":false,"family":"Butler","given":"Matthew","email":"","middleInitial":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":898864,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pearse, Aaron T. 0000-0002-6137-1556 apearse@usgs.gov","orcid":"https://orcid.org/0000-0002-6137-1556","contributorId":1772,"corporation":false,"usgs":true,"family":"Pearse","given":"Aaron","email":"apearse@usgs.gov","middleInitial":"T.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":898865,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Metzger, Kristine L.","contributorId":147144,"corporation":false,"usgs":false,"family":"Metzger","given":"Kristine","email":"","middleInitial":"L.","affiliations":[{"id":16794,"text":"USFWS, Div of Biol Serv, Albuquerque, NM","active":true,"usgs":false}],"preferred":false,"id":898866,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70253184,"text":"70253184 - 2024 - Contribution of host species and pathogen clade to snake fungal disease hotspots in Europe","interactions":[],"lastModifiedDate":"2024-04-24T15:00:53.628776","indexId":"70253184","displayToPublicDate":"2024-04-10T09:53:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5729,"text":"Communications Biology","active":true,"publicationSubtype":{"id":10}},"title":"Contribution of host species and pathogen clade to snake fungal disease hotspots in Europe","docAbstract":"<p><span>Infectious diseases are influenced by interactions between host and pathogen, and the number of infected hosts is rarely homogenous across the landscape. Areas with elevated pathogen prevalence can maintain a high force of infection and may indicate areas with disease impacts on host populations. However, isolating the ecological processes that result in increases in infection prevalence and intensity remains a challenge. Here we elucidate the contribution of pathogen clade and host species in disease hotspots caused by&nbsp;</span><i>Ophidiomyces ophidiicola</i><span>, the pathogen responsible for snake fungal disease, in 21 species of snakes infected with multiple pathogen strains across 10 countries in Europe. We found isolated areas of disease hotspots in a landscape where infections were otherwise low.&nbsp;</span><i>O. ophidiicola</i><span>&nbsp;clade had important effects on transmission, and areas with multiple pathogen clades had higher host infection prevalence. Snake species further influenced infection, with most positive detections coming from species within the&nbsp;</span><i>Natrix</i><span>&nbsp;genus. Our results suggest that both host and pathogen identity are essential components contributing to increased pathogen prevalence.</span></p>","language":"English","publisher":"Nature","doi":"10.1038/s42003-024-06092-x","usgsCitation":"Blanvillain, G., Lorch, J., Joudrier, N., Bury, S., Cuenot, T., Franzen, M., Martinez-Freiria, F., Guiller, G., Halpern, B., Kolanek, A., Kurek, K., Lourdais, O., Michon, A., Musilova, R., Schweiger, S., Szulc, B., Ursenbacher, S., Zinenko, O., and Hoyt, J.R., 2024, Contribution of host species and pathogen clade to snake fungal disease hotspots in Europe: Communications Biology, v. 7, 440, 10 p., https://doi.org/10.1038/s42003-024-06092-x.","productDescription":"440, 10 p.","ipdsId":"IP-146492","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":439887,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s42003-024-06092-x","text":"Publisher Index 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Karazin Kharkiv National University","active":true,"usgs":false}],"preferred":false,"id":899424,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Hoyt, Joseph R.","contributorId":201314,"corporation":false,"usgs":false,"family":"Hoyt","given":"Joseph","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":899425,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":70256587,"text":"70256587 - 2024 - Artificial structure selection by economically important reef fishes at North Carolina artificial reefs","interactions":[],"lastModifiedDate":"2024-08-06T12:30:55.981873","indexId":"70256587","displayToPublicDate":"2024-04-10T07:23:05","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Artificial structure selection by economically important reef fishes at North Carolina artificial reefs","docAbstract":"<div class=\"JournalAbstract\"><p>Artificial reefs can play an important role in marine fisheries management by supplementing or enhancing natural habitats. Despite their increased use in recent years, the choice of structures used at artificial reefs remains largely haphazard due to the lack of information on reef structure performance. Few studies have examined the use of different artificial reef structures by individual fish. From 2021-2022, we acoustically tagged 72 black sea bass (<i>Centropristis striata</i>), 34 gag (<i>Mycteroperca mircrolepis</i>), 27 greater amberjack (<i>Seriola dumerili</i>), nine almaco jack (<i>S. rivoliana</i>), and eight red snapper (<i>Lutjanus campechanus</i>) on four artificial reef complexes near Cape Lookout, North Carolina, U.S. Available artificial reef structures consisted of materials of various sizes and heights made of concrete and metal. We tracked tagged fish using a fine-scale positioning system for ~100 days. Black sea bass exhibited high site fidelity to the artificial structure where we caught them, rarely moving away from that structure. The limited movement resulted in low transition probabilities; we conclude that black sea bass do not select for particular artificial structures. Gag and red snapper moved greater distances away from artificial structures and routinely moved between them. Greater amberjack and almaco jack moved the most within the complexes displaying circling behavior around individual structures and were the only species that regularly moved off the artificial reef complexes. Greater amberjack movements away from artificial sites were most commonly directed to surrounding shipwrecks. Whereas gag, red snapper, almaco jack, and greater amberjack used all available structures, they consistently selected for high relief structures, such as vessels, more than other structures. These results will be useful to managers charged with decisions on what types of structures to place at artificial reef complexes to supplement or enhance habitat for economically important fishes.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2024.1373494","usgsCitation":"Tharp, R.M., Hostetter, N.J., Paxton, A., Taylor, J., and Buckel, J., 2024, Artificial structure selection by economically important reef fishes at North Carolina artificial reefs: Frontiers in Marine Science, v. 11, 1373494, 21 p., https://doi.org/10.3389/fmars.2024.1373494.","productDescription":"1373494, 21 p.","ipdsId":"IP-162651","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439892,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2024.1373494","text":"Publisher Index Page"},{"id":432270,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -78.7441505524624,\n              35.376826148600884\n            ],\n            [\n              -78.7441505524624,\n              34.07664367033554\n            ],\n            [\n              -76.12940445871264,\n              34.07664367033554\n            ],\n            [\n              -76.12940445871264,\n              35.376826148600884\n            ],\n            [\n              -78.7441505524624,\n              35.376826148600884\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2024-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Tharp, Ryan M.","contributorId":341261,"corporation":false,"usgs":false,"family":"Tharp","given":"Ryan","email":"","middleInitial":"M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":908157,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hostetter, Nathan J. 0000-0001-6075-2157 nhostetter@usgs.gov","orcid":"https://orcid.org/0000-0001-6075-2157","contributorId":198843,"corporation":false,"usgs":true,"family":"Hostetter","given":"Nathan","email":"nhostetter@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":908158,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paxton, Avery B.","contributorId":341262,"corporation":false,"usgs":false,"family":"Paxton","given":"Avery B.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":908159,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, J. Christopher","contributorId":341263,"corporation":false,"usgs":false,"family":"Taylor","given":"J. Christopher","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":908160,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Buckel, Jeffrey A.","contributorId":341264,"corporation":false,"usgs":false,"family":"Buckel","given":"Jeffrey A.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":908161,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70252942,"text":"70252942 - 2024 - Where east meets west: Phylogeography of the high Arctic North American brant goose","interactions":[],"lastModifiedDate":"2024-04-12T12:02:10.336507","indexId":"70252942","displayToPublicDate":"2024-04-10T06:57:15","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Where east meets west: Phylogeography of the high Arctic North American brant goose","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Genetic variation in Arctic species is often influenced by vicariance during the Pleistocene, as ice sheets fragmented the landscape and displaced populations to low- and high-latitude refugia. The formation of secondary contact or suture zones during periods of ice sheet retraction has important consequences on genetic diversity by facilitating genetic connectivity between formerly isolated populations. Brant geese (<i>Branta bernicla</i>) are a maritime migratory waterfowl (Anseriformes) species that almost exclusively uses coastal habitats. Within North America, brant geese are characterized by two phenotypically distinct subspecies that utilize disjunct breeding and wintering areas in the northern Pacific and Atlantic. In the Western High Arctic of Canada, brant geese consist of individuals with an intermediate phenotype that are rarely observed nesting outside this region. We examined the genetic structure of brant geese populations from each subspecies and areas consisting of intermediate phenotypes using mitochondrial DNA (mtDNA) control region sequence data and microsatellite loci. We found a strong east–west partition in both marker types consistent with refugial populations. Within subspecies, structure was also observed at mtDNA while microsatellite data suggested the presence of only two distinct genetic clusters. The Western High Arctic (WHA) appears to be a secondary contact zone for both Atlantic and Pacific lineages as mtDNA and nuclear genotypes were assigned to both subspecies, and admixed individuals were observed in this region. The mtDNA sequence data outside WHA suggests no or very restricted intermixing between Atlantic and Pacific wintering populations which is consistent with published banding and telemetry data. Our study indicates that, although brant geese in the WHA are not a genetically distinct lineage, this region may act as a reservoir of genetic diversity and may be an area of high conservation value given the potential of low reproductive output in this species.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11245","usgsCitation":"Wilson, R., Boyd, S., Sonsthagen, S.A., Ward, D.H., Clausen, P., Dickson, K., Ebbinge, B., Gudmundsson, G., Sage, G., Rearick, J., Derksen, D.V., and Talbot, S., 2024, Where east meets west: Phylogeography of the high Arctic North American brant goose: Ecology and Evolution, v. 14, no. 4, e11245, 18 p., https://doi.org/10.1002/ece3.11245.","productDescription":"e11245, 18 p.","ipdsId":"IP-159185","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":439898,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ece3.11245","text":"External Repository"},{"id":434992,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P96G9LAJ","text":"USGS data release","linkHelpText":"Brant (Branta bernicla) Genetic Data from North America, Europe, and Asia"},{"id":427727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, Robert","contributorId":99425,"corporation":false,"usgs":false,"family":"Wilson","given":"Robert","affiliations":[],"preferred":false,"id":898695,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyd, Sean","contributorId":76672,"corporation":false,"usgs":false,"family":"Boyd","given":"Sean","affiliations":[{"id":6962,"text":"Science and Technology Branch, Environment Canada","active":true,"usgs":false}],"preferred":false,"id":898696,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sonsthagen, Sarah A. 0000-0001-6215-5874 ssonsthagen@usgs.gov","orcid":"https://orcid.org/0000-0001-6215-5874","contributorId":3711,"corporation":false,"usgs":true,"family":"Sonsthagen","given":"Sarah","email":"ssonsthagen@usgs.gov","middleInitial":"A.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":898697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ward, David H. 0000-0002-5242-2526 dward@usgs.gov","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":3247,"corporation":false,"usgs":true,"family":"Ward","given":"David","email":"dward@usgs.gov","middleInitial":"H.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":898698,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clausen, Preben","contributorId":335554,"corporation":false,"usgs":false,"family":"Clausen","given":"Preben","email":"","affiliations":[{"id":37318,"text":"Aarhus University","active":true,"usgs":false}],"preferred":false,"id":898699,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dickson, Kathryn","contributorId":335555,"corporation":false,"usgs":false,"family":"Dickson","given":"Kathryn","email":"","affiliations":[{"id":12590,"text":"Canadian Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":898700,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ebbinge, Bartwolt","contributorId":335558,"corporation":false,"usgs":false,"family":"Ebbinge","given":"Bartwolt","email":"","affiliations":[{"id":80434,"text":"Animal Ecology, Alterra Wageningen-UR","active":true,"usgs":false}],"preferred":false,"id":898701,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gudmundsson, Gudmundur","contributorId":335559,"corporation":false,"usgs":false,"family":"Gudmundsson","given":"Gudmundur","affiliations":[{"id":40188,"text":"Icelandic Institute of Natural History","active":true,"usgs":false}],"preferred":false,"id":898702,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sage, George","contributorId":291356,"corporation":false,"usgs":false,"family":"Sage","given":"George","affiliations":[{"id":40349,"text":"USGS Alaska Science Center (former employee)","active":true,"usgs":false}],"preferred":false,"id":898703,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rearick, Jolene","contributorId":335561,"corporation":false,"usgs":false,"family":"Rearick","given":"Jolene","affiliations":[{"id":34928,"text":"Independent Researcher","active":true,"usgs":false}],"preferred":false,"id":898704,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Derksen, Dirk V. 0000-0002-5242-2526","orcid":"https://orcid.org/0000-0002-5242-2526","contributorId":334444,"corporation":false,"usgs":false,"family":"Derksen","given":"Dirk","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":898705,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Talbot, Sandra","contributorId":291357,"corporation":false,"usgs":false,"family":"Talbot","given":"Sandra","affiliations":[{"id":40349,"text":"USGS Alaska Science Center (former employee)","active":true,"usgs":false}],"preferred":false,"id":898706,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70253189,"text":"70253189 - 2024 - Tropical or extratropical cyclones: What drives the compound flood hazard, impact, and risk for the United States Southeast Atlantic coast?","interactions":[],"lastModifiedDate":"2024-07-15T15:02:09.811557","indexId":"70253189","displayToPublicDate":"2024-04-09T06:49:08","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2822,"text":"Natural Hazards","active":true,"publicationSubtype":{"id":10}},"title":"Tropical or extratropical cyclones: What drives the compound flood hazard, impact, and risk for the United States Southeast Atlantic coast?","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Subtropical coastlines are impacted by both tropical and extratropical cyclones. While both may lead to substantial damage to coastal communities, it is difficult to determine the contribution of tropical cyclones to coastal flooding relative to that of extratropical cyclones. We conduct a large-scale flood hazard and impact assessment across the subtropical Southeast Atlantic Coast of the United States, from Virginia to Florida, including different flood hazards. The physics-based hydrodynamic modeling skillfully reproduces coastal water levels based on a comprehensive validation of tides, almost two hundred historical storms, and an in-depth hindcast of Hurricane Florence. We show that yearly flood impacts are two times as likely to be driven by extratropical than tropical cyclones. On the other hand, tropical cyclones are 30 times more likely to affect people during rarer 100-year events than extratropical cyclones and contribute to more than half of the regional flood risk. With increasing sea levels, more areas will be flooded, regardless of whether flooding is driven by tropical or extratropical cyclones. Most of the absolute flood risk is contained in the greater Miami metropolitan area. However, several less populous counties have the highest relative risks. The results of this study provide critical information for understanding the source and frequency of compound flooding across the Southeast Atlantic Coast of the United States.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s11069-024-06552-x","usgsCitation":"Nederhoff, K., Leijnse, T., Parker, K.A., Thomas, J.A., O’Neill, A., van Ormondt, M., McCall, R.T., Erikson, L.H., Barnard, P.L., Foxgrover, A.C., Klessens, W., Nadal-Caraballo, N.C., and Massey, C., 2024, Tropical or extratropical cyclones: What drives the compound flood hazard, impact, and risk for the United States Southeast Atlantic coast?: Natural Hazards, v. 120, p. 8779-8825, https://doi.org/10.1007/s11069-024-06552-x.","productDescription":"47 p.","startPage":"8779","endPage":"8825","ipdsId":"IP-146393","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":439902,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s11069-024-06552-x","text":"Publisher Index Page"},{"id":428105,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -83.69241000149572,\n              24.323338671423215\n            ],\n            [\n              -74.72756625149582,\n              24.323338671423215\n            ],\n            [\n              -74.72756625149582,\n              38.7166042018747\n            ],\n            [\n              -83.69241000149572,\n              38.7166042018747\n            ],\n            [\n              -83.69241000149572,\n              24.323338671423215\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"120","noUsgsAuthors":false,"publicationDate":"2024-04-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Nederhoff, Kees 0000-0003-0552-3428","orcid":"https://orcid.org/0000-0003-0552-3428","contributorId":334091,"corporation":false,"usgs":false,"family":"Nederhoff","given":"Kees","affiliations":[{"id":39963,"text":"Deltares-USA","active":true,"usgs":false}],"preferred":true,"id":899449,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leijnse, Tim 0000-0003-1873-3387","orcid":"https://orcid.org/0000-0003-1873-3387","contributorId":301839,"corporation":false,"usgs":false,"family":"Leijnse","given":"Tim","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":899450,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Parker, Kai Alexander 0000-0002-0268-3891","orcid":"https://orcid.org/0000-0002-0268-3891","contributorId":292869,"corporation":false,"usgs":true,"family":"Parker","given":"Kai","email":"","middleInitial":"Alexander","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":899451,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thomas, Jennifer Anne 0000-0002-8338-0146","orcid":"https://orcid.org/0000-0002-8338-0146","contributorId":297988,"corporation":false,"usgs":true,"family":"Thomas","given":"Jennifer","email":"","middleInitial":"Anne","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":899452,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O’Neill, Andrea 0000-0001-6516-5728 aoneill@usgs.gov","orcid":"https://orcid.org/0000-0001-6516-5728","contributorId":335763,"corporation":false,"usgs":true,"family":"O’Neill","given":"Andrea","email":"aoneill@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":899453,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"van Ormondt, Maarten","contributorId":147148,"corporation":false,"usgs":false,"family":"van Ormondt","given":"Maarten","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":899454,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McCall, Robert T.","contributorId":148986,"corporation":false,"usgs":false,"family":"McCall","given":"Robert","email":"","middleInitial":"T.","affiliations":[{"id":12474,"text":"Deltares, Netherlands","active":true,"usgs":false}],"preferred":false,"id":899455,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":899456,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":899457,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Foxgrover, Amy C. 0000-0003-0638-5776 afoxgrover@usgs.gov","orcid":"https://orcid.org/0000-0003-0638-5776","contributorId":3261,"corporation":false,"usgs":true,"family":"Foxgrover","given":"Amy","email":"afoxgrover@usgs.gov","middleInitial":"C.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":899458,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Klessens, Wouter","contributorId":335764,"corporation":false,"usgs":false,"family":"Klessens","given":"Wouter","email":"","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":899459,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Nadal-Caraballo, Norberto C.","contributorId":335765,"corporation":false,"usgs":false,"family":"Nadal-Caraballo","given":"Norberto","email":"","middleInitial":"C.","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":899460,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Massey, Chris","contributorId":206127,"corporation":false,"usgs":false,"family":"Massey","given":"Chris","email":"","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":899461,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70263160,"text":"70263160 - 2024 - Morbidity in California giant salamander (Dicamptodon ensatus Eschscholtz, 1833) caused by Euryhelmis sp. Poche, 1926 (Trematoda: Heterophyiidae)","interactions":[],"lastModifiedDate":"2025-01-30T15:13:06.533454","indexId":"70263160","displayToPublicDate":"2024-04-05T08:04:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2025,"text":"International Journal for Parasitology: Parasites and Wildlife","active":true,"publicationSubtype":{"id":10}},"title":"Morbidity in California giant salamander (Dicamptodon ensatus Eschscholtz, 1833) caused by Euryhelmis sp. Poche, 1926 (Trematoda: Heterophyiidae)","docAbstract":"<p>In the fall of 2021, California Department of Fish and Wildlife reported larval and adult California giant salamanders (<i>Dicamptodon</i> <i>ensatus</i> Eschscholtz, 1833) with skin lesions at multiple creeks in Santa Clara and Santa Cruz Counties, California, USA. Field signs in both stages included rough, lumpy textured skin, and larvae with tails that were disproportionately long, flat, wavy, and flaccid. Presence of large-bodied larvae suggested delayed metamorphosis, with some larvae having cloudy eyes and suspected blindness. To determine the cause of the disease, three first-of-the-year salamanders from one location were collected, euthanized with 20% benzocaine, and submitted for necropsy to the U.S. Geological Survey, National Wildlife Health Center. Upon gross examination, all salamanders were emaciated with no internal fat stores, and had multiple pinpoint to 1.5-mm diameter raised nodules in the skin over the body, including the head, gills, dorsum, ventrum, all four limbs, and the tail; one also had nodules in the oral cavity and tongue. Histologically all salamanders had multiple encysted metacercariae in the dermis, subcutis, and skeletal muscles of the head, body, and tail that were often associated with granulomatous and granulocytic inflammation and edema. A small number of encysted meta cercariae or empty cysts were present in the gills with minimal inflammation, and rarely in the kidney with no associated inflammation. Morphology of live metacercariae (Trematoda: Heterophyiidae), and sequencing of the 28S rRNA gene identified a species of <i>Euryhelmis</i> (Poche, 1926). Artificial digestion of a 1.65 g, decapitated, eviscerated carcass yielded 773 metacercariae, all of similar size and morphology as the live specimens. Based on these findings, the poor body condition of these salamanders was concluded to be due to heavy parasite burden. Environmental factors such as drought, increased temperature, and overcrowded conditions may be exacerbating parasite infections in these populations of salamander.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijppaw.2024.100908","usgsCitation":"Miller, J.L., Erickson, L., Fork, S., Roderick, C., Grear, D.A., and Cole, R.A., 2024, Morbidity in California giant salamander (Dicamptodon ensatus Eschscholtz, 1833) caused by Euryhelmis sp. Poche, 1926 (Trematoda: Heterophyiidae): International Journal for Parasitology: Parasites and Wildlife, v. 23, 100908, 8p., https://doi.org/10.1016/j.ijppaw.2024.100908.","productDescription":"100908, 8p.","ipdsId":"IP-157863","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":489917,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijppaw.2024.100908","text":"Publisher Index Page"},{"id":481498,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Santa Clara County, Santa Cruz County, Mendocino 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Jaimie L. 0000-0002-2305-6862 jaimiemiller@usgs.gov","orcid":"https://orcid.org/0000-0002-2305-6862","contributorId":272836,"corporation":false,"usgs":false,"family":"Miller","given":"Jaimie","email":"jaimiemiller@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":925700,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erickson, Lawrence","contributorId":350328,"corporation":false,"usgs":false,"family":"Erickson","given":"Lawrence","affiliations":[{"id":83717,"text":"Independent Contractor, Boulder Creek, CA","active":true,"usgs":false}],"preferred":false,"id":925701,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fork, Susanne","contributorId":350329,"corporation":false,"usgs":false,"family":"Fork","given":"Susanne","affiliations":[{"id":40430,"text":"Elkhorn Slough National Estuarine Research Reserve","active":true,"usgs":false}],"preferred":false,"id":925702,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Roderick, Constance 0000-0001-8330-8024","orcid":"https://orcid.org/0000-0001-8330-8024","contributorId":215346,"corporation":false,"usgs":true,"family":"Roderick","given":"Constance","email":"","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":925703,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grear, Daniel A. 0000-0002-5478-1549 dgrear@usgs.gov","orcid":"https://orcid.org/0000-0002-5478-1549","contributorId":189819,"corporation":false,"usgs":true,"family":"Grear","given":"Daniel","email":"dgrear@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":925704,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cole, Rebecca A. 0000-0003-2923-1622 rcole@usgs.gov","orcid":"https://orcid.org/0000-0003-2923-1622","contributorId":2873,"corporation":false,"usgs":true,"family":"Cole","given":"Rebecca","email":"rcole@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":925705,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70252763,"text":"70252763 - 2024 - Propensity score matching mitigates risk of faulty inferences in observational studies of effectiveness of restoration trials","interactions":[],"lastModifiedDate":"2024-05-20T15:29:15.542173","indexId":"70252763","displayToPublicDate":"2024-04-03T09:13:24","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Propensity score matching mitigates risk of faulty inferences in observational studies of effectiveness of restoration trials","docAbstract":"<ol class=\"\"><li>Determining effectiveness of restoration treatments is an important requirement of adaptive management, but it can be non-trivial where only portions of large and heterogeneous landscapes of concern can be treated and sampled. Bias and non-randomness in the spatial deployment of treatment and thus sampling is nearly unavoidable in the data available for large-scale management trials, and the biophysical landscape characteristics underlying the bias are key but rare considerations in analyses of treatment effects.</li><li>Treatment effects from large-scale management trials are typically estimated with multivariable regression (MVR) models. However, this method is unsuited to reliable estimations of treatment effects when treated and untreated areas differ in their underlying biophysical variability. An alternative to conventional regression is to use propensity score (PS) matching, which can limit the differences in confounding variables among treatment groups and assure the data collected or selected for analysis are more consistent with a randomized and unconfounded experiment. Thus, PS is expected to identify treatment effects more accurately.</li><li>We used data from a large-scale monitoring effort of a megafire to evaluate the efficacy of PS matching in making inferences on treatment effects when treatments are applied non-randomly over a large heterogeneous area. We compared the resulting inference to both traditional MVR methods and to “naïve” methods that do not consider treatment allocation bias.</li><li>Treatment effects varied between the different statistical methods for controlling selection bias and confounding biophysical factors. The PS-matched model revealed a weaker treatment effect of drill seeding and a greater effect of herbicide spraying on the cover of perennial bunchgrasses when compared to MVR or naïve modelled estimates. The inferences from the PS-matched model are considered more reliable because the treated and untreated plots are more similar in their underlying biophysical characteristics.</li><li><i>Synthesis and applications</i>. Failure to consider the non-random and selective deployment of restoration treatments by managers leads to faulty inference on their effectiveness. However, tools such as propensity-score matching can be used to remove the bias from analyses of the outcomes of management trials or to devise sampling plans that efficiently protect against the bias.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14638","usgsCitation":"Kluender, C.R., Germino, M., and Anthony, C.A., 2024, Propensity score matching mitigates risk of faulty inferences in observational studies of effectiveness of restoration trials: Journal of Applied Ecology, v. 61, no. 5, p. 1127-1137, https://doi.org/10.1111/1365-2664.14638.","productDescription":"11 p.","startPage":"1127","endPage":"1137","ipdsId":"IP-150668","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":498233,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.14638","text":"Publisher Index Page"},{"id":427394,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"5","noUsgsAuthors":false,"publicationDate":"2024-04-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Kluender, Chad Raymond 0000-0002-4108-4437","orcid":"https://orcid.org/0000-0002-4108-4437","contributorId":296077,"corporation":false,"usgs":true,"family":"Kluender","given":"Chad","email":"","middleInitial":"Raymond","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":898150,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":898151,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Anthony, Christopher A 0000-0003-0968-224X","orcid":"https://orcid.org/0000-0003-0968-224X","contributorId":334644,"corporation":false,"usgs":false,"family":"Anthony","given":"Christopher","email":"","middleInitial":"A","affiliations":[{"id":80198,"text":"USFWS (current)","active":true,"usgs":false}],"preferred":false,"id":898152,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70256184,"text":"70256184 - 2024 - The potential influence of genome-wide adaptive divergence on conservation translocation outcome in an isolated greater sage-grouse population","interactions":[],"lastModifiedDate":"2024-07-26T00:07:03.307419","indexId":"70256184","displayToPublicDate":"2024-04-02T19:05:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"The potential influence of genome-wide adaptive divergence on conservation translocation outcome in an isolated greater sage-grouse population","docAbstract":"<div class=\"article-section__content en main\"><p>Conservation translocations are an important conservation tool commonly employed to augment declining or reestablish extirpated populations. One goal of augmentation is to increase genetic diversity and reduce the risk of inbreeding depression (i.e., genetic rescue). However, introducing individuals from significantly diverged populations risks disrupting coadapted traits and reducing local fitness (i.e., outbreeding depression). Genetic data are increasingly more accessible for wildlife species and can provide unique insight regarding the presence and retention of introduced genetic variation from augmentation as an indicator of effectiveness and adaptive similarity as an indicator of source and recipient population suitability. We used 2 genetic data sets to evaluate augmentation of isolated populations of greater sage-grouse (<i>Centrocercus urophasianus</i>) in the northwestern region of the species range (Washington, USA) and to retrospectively evaluate adaptive divergence among source and recipient populations. We developed 2 statistical models for microsatellite data to evaluate augmentation outcomes. We used one model to predict genetic diversity after augmentation and compared these predictions with observations of genetic change. We used the second model to quantify the amount of observed reproduction attributed to transplants (proof of population integration). We also characterized genome-wide adaptive divergence among source and recipient populations. Observed genetic diversity (<i>H</i><sub>O</sub>&nbsp;=&nbsp;0.65) was higher in the recipient population than predicted had no augmentation occurred (<i>H</i><sub>O</sub>&nbsp;=&nbsp;0.58) but less than what was predicted by our model (<i>H</i><sub>O</sub>&nbsp;=&nbsp;0.75). The amount of shared genetic variation between the 2 geographically isolated resident populations increased, which is evidence of periodic gene flow previously assumed to be rare. Among candidate adaptive genes associated with elevated fixation index (<i>F</i><sub>ST</sub>) (143 genes) or local environmental variables (97 and 157 genes for each genotype–environment association method, respectively), we found clusters of genes with related functions that may influence the ability of transplants to use local resources and navigate unfamiliar environments and their reproductive potential, all possible reasons for low genetic retention from augmentation.</p></div>","language":"English","publisher":"Wiley","doi":"10.1111/cobi.14254","usgsCitation":"Zimmerman, S.J., Aldridge, C.L., Schroeder, M.A., Fike, J., Cornman, R.S., and Oyler-McCance, S.J., 2024, The potential influence of genome-wide adaptive divergence on conservation translocation outcome in an isolated greater sage-grouse population: Conservation Biology, v. 38, no. 4, e14254, 19 p., https://doi.org/10.1111/cobi.14254.","productDescription":"e14254, 19 p.","ipdsId":"IP-155494","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":439963,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.14254","text":"Publisher Index Page"},{"id":435000,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13UWMYL","text":"USGS data release","linkHelpText":"Greater sage-grouse genetic data and R code for evaluating conservation translocations in the northwestern United States, 1992–2021"},{"id":431454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"4","noUsgsAuthors":false,"publicationDate":"2024-04-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Zimmerman, Shawna J 0000-0003-3394-6102 szimmerman@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-6102","contributorId":238076,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Shawna","email":"szimmerman@usgs.gov","middleInitial":"J","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":907022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":907023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schroeder, Michael A","contributorId":221131,"corporation":false,"usgs":false,"family":"Schroeder","given":"Michael","email":"","middleInitial":"A","affiliations":[{"id":12438,"text":"Washington Department of Fish and Wildlife","active":true,"usgs":false}],"preferred":false,"id":907024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":907025,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cornman, Robert S. 0000-0001-9511-2192 rcornman@usgs.gov","orcid":"https://orcid.org/0000-0001-9511-2192","contributorId":5356,"corporation":false,"usgs":true,"family":"Cornman","given":"Robert","email":"rcornman@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":907026,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":907027,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70254540,"text":"70254540 - 2024 - Status and trends of the Lake Huron prey fish community, 1976-2023","interactions":[],"lastModifiedDate":"2026-03-27T18:17:22.168605","indexId":"70254540","displayToPublicDate":"2024-03-31T13:11:26","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Status and trends of the Lake Huron prey fish community, 1976-2023","docAbstract":"<p>The U. S. Geological Survey-Great Lakes Science Center has monitored annual changes in the offshore (depth &gt;9m) prey fish community of Lake Huron since 1973. &nbsp;Monitoring of prey fish populations in Lake Huron is based on a bottom trawl survey that targets demersal (benthic) species and an acoustic-midwater trawl survey that targets pelagic species and life stages. &nbsp;In 2023, Bloater (<i>Coregonus hoyi</i>) accounted for 77% of the main basin biomass in bottom trawls and 86% of the main basin biomass in the acoustics survey. Despite this sustained importance of native species in the main basin, species diversity is below desired levels. Bloater in the main basin has exhibited population growth and strong recruitment in recent years, and Cisco (<i>Coregonus artedi</i>) has exhibited increased biomass in the North Channel since 2015. &nbsp;In contrast non-native Alewife (<i>Alosa pseudoharengus</i>), whose population collapsed in 2004 and has not recovered, were less than 1% of fish biomass in 2023. &nbsp;Rainbow Smelt (<i>Osmerus mordax</i>) accounted for 7% of the main basin biomass in bottom trawls and 22% of the main basin biomass in the acoustics survey. &nbsp;Despite remaining the second-most abundant prey species in the main basin, Rainbow Smelt has not shown appreciable increases in biomass despite recent strong year classes. &nbsp; Deepwater Sculpin (<i>Myoxocephalus thompsonii</i>) increased by 47% in 2023 and were 33% of the long-term average. Slimy Sculpin (<i>Cottus cognatus</i>) increased to 60% of the long-term average but remained rare in bottom trawl catches. &nbsp;In contrast, biomass of Round Goby (<i>Neogobius melanostomus</i>), a non-native species similar ecologically to the sculpin species, remained near the record high biomass reached in 2022. &nbsp;Current lake conditions characterized by ongoing oligotrophication seem to favor native coregonines over non-native fishes. &nbsp;Use of complementary surveys (bottom trawl, acoustics) remains important for evaluating prey fish status in Lake Huron, where prey fish community dynamics vary by basin and prey fish responses to changing environmental conditions depend on species and/or habitat. &nbsp;</p>","language":"English","publisher":"Great lakes Fishery Commission","usgsCitation":"O’Brien, T.P., Hondorp, D.W., Roseman, E.F., Esselman, P.C., Brant, C., Farha, S.A., and Phillips, K., 2024, Status and trends of the Lake Huron prey fish community, 1976-2023, 27 p.","productDescription":"27 p.","ipdsId":"IP-163919","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":501738,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":501737,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://glfc.org/publication-media-search.php"}],"country":"Canada, United States","otherGeospatial":"Lake Huron","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -84.7705078125,\n              45.81348649679973\n            ],\n            [\n              -84.4189453125,\n              45.5679096098613\n            ],\n            [\n              -83.81469726562499,\n              45.390735154248894\n            ],\n            [\n              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Center","active":true,"usgs":true}],"preferred":true,"id":901802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hondorp, Darryl W. 0000-0002-5182-1963 dhondorp@usgs.gov","orcid":"https://orcid.org/0000-0002-5182-1963","contributorId":5376,"corporation":false,"usgs":true,"family":"Hondorp","given":"Darryl","email":"dhondorp@usgs.gov","middleInitial":"W.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":901803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. 0000-0002-5315-9838 eroseman@usgs.gov","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":168428,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward","email":"eroseman@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":901804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Esselman, Peter C. 0000-0002-0085-903X pesselman@usgs.gov","orcid":"https://orcid.org/0000-0002-0085-903X","contributorId":5965,"corporation":false,"usgs":true,"family":"Esselman","given":"Peter","email":"pesselman@usgs.gov","middleInitial":"C.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":901805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brant, Cory 0000-0002-0919-1566","orcid":"https://orcid.org/0000-0002-0919-1566","contributorId":223422,"corporation":false,"usgs":true,"family":"Brant","given":"Cory","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":901806,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Farha, Steven A.","contributorId":79026,"corporation":false,"usgs":true,"family":"Farha","given":"Steven","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":901807,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Phillips, Kristy 0000-0001-8378-0660","orcid":"https://orcid.org/0000-0001-8378-0660","contributorId":204292,"corporation":false,"usgs":true,"family":"Phillips","given":"Kristy","email":"","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":901808,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"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":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","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":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","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":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":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":70252436,"text":"70252436 - 2024 - The value of marsh restoration for flood risk reduction in an urban estuary","interactions":[],"lastModifiedDate":"2025-03-20T13:44:45.48974","indexId":"70252436","displayToPublicDate":"2024-03-21T06:47:01","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"The value of marsh restoration for flood risk reduction in an urban estuary","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The use of nature-based solutions (NBS) for coastal climate adaptation has broad and growing interest, but NBS are rarely assessed with the same rigor as traditional engineering solutions or with respect to future climate change scenarios. These gaps pose challenges for the use of NBS for climate adaptation. Here, we value the flood protection benefits of stakeholder-identified marsh restoration under current and future climate change within San Francisco Bay, a densely urbanized estuary, and specifically on the shores of San Mateo County, the county most vulnerable to future flooding in California. Marsh restoration provides a present value of 21 million dollars which increases to over 100 million dollars with 0.5 m of sea level rise (SLR), and to about 500 million dollars with 1 m of SLR. There are hotspots within the county where marsh restoration delivers very high benefits for adaptation, which reach 9 million dollars/hectare with likely future sea level and storm conditions. Today’s investments in nature and community resilience can result in increasing payoffs as climate change progresses and risk increases.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41598-024-57474-4","usgsCitation":"Taylor-Burns, R.M., Lowrie, C., Tehranirad, B., Lowe, J., Erikson, L.H., Barnard, P.L., Reguero, B.G., and Beck, M.W., 2024, The value of marsh restoration for flood risk reduction in an urban estuary: Nature Climate Change, v. 14, 6856, 10 p., https://doi.org/10.1038/s41598-024-57474-4.","productDescription":"6856, 10 p.","ipdsId":"IP-148306","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":426960,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":440074,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-024-57474-4","text":"Publisher Index Page"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.63115736360326,\n              37.88783703374655\n            ],\n            [\n              -122.63115736360326,\n              37.348307280807546\n            ],\n            [\n              -121.91705432462538,\n              37.348307280807546\n            ],\n            [\n              -121.91705432462538,\n              37.88783703374655\n            ],\n            [\n              -122.63115736360326,\n              37.88783703374655\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2024-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Taylor-Burns, Rae M. 0000-0003-4963-6643","orcid":"https://orcid.org/0000-0003-4963-6643","contributorId":312507,"corporation":false,"usgs":false,"family":"Taylor-Burns","given":"Rae","email":"","middleInitial":"M.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":897156,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lowrie, Chris","contributorId":334976,"corporation":false,"usgs":false,"family":"Lowrie","given":"Chris","email":"","affiliations":[{"id":27155,"text":"University of California Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":897157,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tehranirad, Babak 0000-0002-1634-9165","orcid":"https://orcid.org/0000-0002-1634-9165","contributorId":299107,"corporation":false,"usgs":false,"family":"Tehranirad","given":"Babak","affiliations":[{"id":64774,"text":"contracted to USGS PCMSC","active":true,"usgs":false}],"preferred":false,"id":897158,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowe, Jeremy","contributorId":197538,"corporation":false,"usgs":false,"family":"Lowe","given":"Jeremy","email":"","affiliations":[],"preferred":false,"id":897159,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":897160,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Barnard, Patrick L. 0000-0003-1414-6476 pbarnard@usgs.gov","orcid":"https://orcid.org/0000-0003-1414-6476","contributorId":140982,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick","email":"pbarnard@usgs.gov","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":897161,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reguero, Borja G. 0000-0001-5526-7157","orcid":"https://orcid.org/0000-0001-5526-7157","contributorId":193831,"corporation":false,"usgs":false,"family":"Reguero","given":"Borja","email":"","middleInitial":"G.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":897162,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Beck, Michael W.","contributorId":259298,"corporation":false,"usgs":false,"family":"Beck","given":"Michael","email":"","middleInitial":"W.","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":897163,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70252076,"text":"70252076 - 2024 - Aligning renewable energy expansion with climate-driven range shifts","interactions":[],"lastModifiedDate":"2024-03-13T11:52:01.768178","indexId":"70252076","displayToPublicDate":"2024-03-08T06:50:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2841,"text":"Nature Climate Change","onlineIssn":"1758-6798","printIssn":"1758-678X","active":true,"publicationSubtype":{"id":10}},"title":"Aligning renewable energy expansion with climate-driven range shifts","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\" data-gtm-vis-polling-id50443292_3939=\"777\" data-gtm-vis-polling-id50443292_3937=\"778\" data-gtm-vis-polling-id50443292_3812=\"779\" data-gtm-vis-recent-on-screen50443292_3939=\"804\" data-gtm-vis-first-on-screen50443292_3939=\"804\" data-gtm-vis-total-visible-time50443292_3939=\"2700\" data-gtm-vis-recent-on-screen50443292_3937=\"804\" data-gtm-vis-first-on-screen50443292_3937=\"804\" data-gtm-vis-total-visible-time50443292_3937=\"2700\" data-gtm-vis-recent-on-screen50443292_3812=\"804\" data-gtm-vis-first-on-screen50443292_3812=\"804\" data-gtm-vis-total-visible-time50443292_3812=\"2700\"><div id=\"Abs1-content\" class=\"c-article-section__content\" data-gtm-vis-polling-id50443292_3939=\"801\" data-gtm-vis-polling-id50443292_3937=\"802\" data-gtm-vis-polling-id50443292_3812=\"803\" data-gtm-vis-recent-on-screen50443292_3939=\"806\" data-gtm-vis-first-on-screen50443292_3939=\"806\" data-gtm-vis-total-visible-time50443292_3939=\"2600\" data-gtm-vis-recent-on-screen50443292_3937=\"806\" data-gtm-vis-first-on-screen50443292_3937=\"806\" data-gtm-vis-total-visible-time50443292_3937=\"2600\" data-gtm-vis-recent-on-screen50443292_3812=\"806\" data-gtm-vis-first-on-screen50443292_3812=\"806\" data-gtm-vis-total-visible-time50443292_3812=\"2600\"><p>Fossil fuel dependence can be reduced, in part, by renewable energy expansion. Increasingly, renewable energy siting seeks to avoid significant impacts on biodiversity but rarely considers how species ranges will shift under climate change. Here we undertake a systematic literature review on the topic and overlay future renewable energy siting maps with the ranges of two threatened species under future climate scenarios to highlight this potential conflict.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41558-024-01941-3","usgsCitation":"Ashraf, U., Morelli, T.L., Smith, A.B., and Hernandez, R., 2024, Aligning renewable energy expansion with climate-driven range shifts: Nature Climate Change, v. 14, p. 242-246, https://doi.org/10.1038/s41558-024-01941-3.","productDescription":"5 p.","startPage":"242","endPage":"246","ipdsId":"IP-158280","costCenters":[{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":502589,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":426578,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -125.21440526211265,\n              43.93811385951014\n            ],\n            [\n              -125.21440526211265,\n              30.42103713277767\n            ],\n            [\n              -106.4058115121132,\n              30.42103713277767\n            ],\n            [\n              -106.4058115121132,\n              43.93811385951014\n            ],\n            [\n              -125.21440526211265,\n              43.93811385951014\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2024-03-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Ashraf, Uzma","contributorId":334789,"corporation":false,"usgs":false,"family":"Ashraf","given":"Uzma","email":"","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":896521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morelli, Toni Lyn 0000-0001-5865-5294 tmorelli@usgs.gov","orcid":"https://orcid.org/0000-0001-5865-5294","contributorId":197458,"corporation":false,"usgs":true,"family":"Morelli","given":"Toni","email":"tmorelli@usgs.gov","middleInitial":"Lyn","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true},{"id":5080,"text":"Northeast Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":896522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Smith, Adam B","contributorId":334790,"corporation":false,"usgs":false,"family":"Smith","given":"Adam","email":"","middleInitial":"B","affiliations":[{"id":38790,"text":"Missouri Botanical Garden","active":true,"usgs":false}],"preferred":false,"id":896523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hernandez, Rebecca","contributorId":334791,"corporation":false,"usgs":false,"family":"Hernandez","given":"Rebecca","affiliations":[{"id":12711,"text":"UC Davis","active":true,"usgs":false}],"preferred":false,"id":896524,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70252064,"text":"70252064 - 2024 - Sea turtle density surface models along the United States Atlantic coast","interactions":[],"lastModifiedDate":"2024-03-12T14:58:09.654368","indexId":"70252064","displayToPublicDate":"2024-02-29T09:38:46","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1497,"text":"Endangered Species Research","active":true,"publicationSubtype":{"id":10}},"title":"Sea turtle density surface models along the United States Atlantic coast","docAbstract":"<p><span>Spatially explicit estimates of marine species distribution and abundance are required to quantify potential impacts from human activities such as military training and testing, fisheries interactions, and offshore energy development. There are 4 protected species of sea turtle (loggerhead, green, Kemp’s ridley, and leatherback) commonly found along the east coast of the USA, our study area, and which require impact assessments. Data from 7 different survey organizations were used to create density surface models for the 4 sea turtle species utilizing 1.2 million km of line-transect surveys. A substantial portion (29.7%) of available sightings were not identified to the species level. Not including these sightings would underestimate density, so a conditional random forest model was used to assign unidentified sightings to species. Higher densities of loggerhead, green, and Kemp’s ridley sea turtles were predicted south of the Outer Banks in cool months, transitioning northwards in late spring to occupy seasonal neritic habitats. The highest leatherback densities were predicted off the coasts of Georgia and Florida. Leatherbacks were also predicted throughout offshore areas. The predicted distribution patterns generally matched satellite tracking and strandings data, indicating the models reproduced established seasonal movements. Surveys rarely detect sea turtles smaller than 40 cm, so these age classes are not represented. The models are the first for the study area to apply availability bias estimates developed in or near the study area and attempt to classify unidentified sightings to the species level, providing an updated, critical tool for conservation management along the eastern seaboard.</span></p>","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/esr01298","usgsCitation":"DiMatteo, A., Roberts, J.J., Jones-Farrand, D.T., Garrison, L., Hart, K., Kenney, R.D., McLellan, W.A., Lomac-MacNair, K., Palka, D., Rickard, M.E., Roberts, K., Zoidis, A.M., and Sparks, L., 2024, Sea turtle density surface models along the United States Atlantic coast: Endangered Species Research, v. 53, p. 227-245, https://doi.org/10.3354/esr01298.","productDescription":"19 p.","startPage":"227","endPage":"245","ipdsId":"IP-154482","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":440271,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/esr01298","text":"Publisher Index Page"},{"id":426553,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut, Delaware, Florida, Georgia, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, North Carolina, Rhode Island, South Carolina, Virginia","otherGeospatial":"Atlantic Coast","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -57.93627018077767,\n              46.35190712057363\n            ],\n            [\n              -63.06317767562888,\n              48.071961216623635\n            ],\n            [\n              -71.30344277897166,\n              43.13946856546261\n            ],\n            [\n              -71.80832999327407,\n              41.862600860703395\n            ],\n            [\n              -74.50295610940375,\n              40.814804466010116\n            ],\n            [\n              -76.87672546434797,\n              39.666220426927055\n            ],\n            [\n              -77.10004487486839,\n              35.93970224582324\n            ],\n            [\n              -81.71588138883396,\n              31.544829146262018\n            ],\n            [\n              -80.60117913786426,\n              26.310207631307307\n            ],\n            [\n              -81.06912455364952,\n              25.83857941124684\n            ],\n            [\n              -82.70465928026937,\n              29.11226261565656\n            ],\n            [\n              -83.63137912414963,\n              30.41405891714605\n            ],\n            [\n              -87.16972564675274,\n              30.306755223785572\n            ],\n            [\n              -83.87424700132446,\n              27.063066500883522\n            ],\n            [\n              -82.83132577671518,\n              23.770525785543356\n            ],\n            [\n              -80.574320123905,\n              24.06588592956416\n            ],\n            [\n              -79.30071206924853,\n              26.25623333516093\n            ],\n            [\n              -79.48694740536136,\n              31.343635783809773\n            ],\n            [\n              -74.30210816483918,\n              34.877155333197436\n            ],\n            [\n              -57.93627018077767,\n              46.35190712057363\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"53","noUsgsAuthors":false,"publicationDate":"2024-02-29","publicationStatus":"PW","contributors":{"authors":[{"text":"DiMatteo, Andrew","contributorId":334722,"corporation":false,"usgs":false,"family":"DiMatteo","given":"Andrew","email":"","affiliations":[{"id":80216,"text":"McLaughlin Research Corporation","active":true,"usgs":false}],"preferred":false,"id":896411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roberts, Jason J.","contributorId":334723,"corporation":false,"usgs":false,"family":"Roberts","given":"Jason","email":"","middleInitial":"J.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":896412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jones-Farrand, D. Todd","contributorId":217894,"corporation":false,"usgs":false,"family":"Jones-Farrand","given":"D.","email":"","middleInitial":"Todd","affiliations":[{"id":39711,"text":"Gulf-Coastal Plains and Ozarks Landscape Conservation Cooperative, U. S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":896413,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Garrison, Lance","contributorId":244391,"corporation":false,"usgs":false,"family":"Garrison","given":"Lance","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":896414,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":896415,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kenney, Robert D.","contributorId":334724,"corporation":false,"usgs":false,"family":"Kenney","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":896416,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McLellan, William A.","contributorId":334725,"corporation":false,"usgs":false,"family":"McLellan","given":"William","email":"","middleInitial":"A.","affiliations":[{"id":32398,"text":"University of North Carolina Wilmington","active":true,"usgs":false}],"preferred":false,"id":896417,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Lomac-MacNair, Kate","contributorId":334726,"corporation":false,"usgs":false,"family":"Lomac-MacNair","given":"Kate","email":"","affiliations":[{"id":80218,"text":"Tetra Tech and Cetos Research Organization","active":true,"usgs":false}],"preferred":false,"id":896418,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Palka, Debra","contributorId":334727,"corporation":false,"usgs":false,"family":"Palka","given":"Debra","email":"","affiliations":[{"id":80220,"text":"National Marine Fisheries Service, Northeast Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":896419,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rickard, Meghan E.","contributorId":334728,"corporation":false,"usgs":false,"family":"Rickard","given":"Meghan","email":"","middleInitial":"E.","affiliations":[{"id":80221,"text":"New York Natural Heritage Program, College of Environmental Science and Forestry, State University of New York","active":true,"usgs":false}],"preferred":false,"id":896420,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Roberts, Kelsey E. 0000-0001-8422-632X","orcid":"https://orcid.org/0000-0001-8422-632X","contributorId":176734,"corporation":false,"usgs":false,"family":"Roberts","given":"Kelsey E.","affiliations":[],"preferred":false,"id":896421,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Zoidis, Ann M.","contributorId":334729,"corporation":false,"usgs":false,"family":"Zoidis","given":"Ann","email":"","middleInitial":"M.","affiliations":[{"id":80218,"text":"Tetra Tech and Cetos Research Organization","active":true,"usgs":false}],"preferred":false,"id":896422,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Sparks, L.","contributorId":334730,"corporation":false,"usgs":false,"family":"Sparks","given":"L.","email":"","affiliations":[{"id":65980,"text":"Naval Undersea Warfare Center","active":true,"usgs":false}],"preferred":false,"id":896423,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70251824,"text":"70251824 - 2024 - Polyphase stratabound scheelite-ferberite mineralization at Mallnock, Eastern Alps, Austria","interactions":[],"lastModifiedDate":"2024-07-15T14:50:27.321887","indexId":"70251824","displayToPublicDate":"2024-02-28T06:46:21","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2746,"text":"Mineralium Deposita","active":true,"publicationSubtype":{"id":10}},"title":"Polyphase stratabound scheelite-ferberite mineralization at Mallnock, Eastern Alps, Austria","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>A peculiar type of stratabound tungsten mineralization in metacarbonate rocks was discovered and explored at Mallnock (Austria) during the late 1980s. It is the only tungsten occurrence in the Eastern Alps in which scheelite is associated with wolframite (96 mol% ferberite). The tungsten prospect is located in the Austroalpine Drauzug-Gurktal Nappe System recording polyphase low-grade regional metamorphism. Raman spectroscopy of carbonaceous material yield maximum metamorphic temperatures of 296 ± 27 °C and 258 ± 27 °C, which are assigned to Variscan and Eoalpine metamorphism, respectively. Scheelite and ferberite occur as polyphase stockwork-like mineralization in Fe-rich magnesite in the northern ore zone (Mallnock North), whereas in the western ore zone (Mallnock West), scheelite-quartz veinlets are exclusively hosted in dolomitic marbles. LA-ICP-MS analyses of scheelite and ferberite yield low contents of Mo, Nb, Ta, and rare earth elements, but high contents of Na and Sr. Uranium is particularly high in scheelite (up to 200 µg/g) and makes this mineral a suitable target for U–Pb dating. In situ U–Pb dating of scheelite yielded an early Permian age (294 ± 8 Ma) for Mallnock West and a Middle Triassic age (239 ± 3 Ma) for Mallnock North. A monzodioritic dike close to Mallnock yielded a U–Pb apatite date of 282 ± 9 Ma and supports the polyphase formation of this mineralization. The U–Pb scheelite ages indicate that a model for tungsten metallogeny in the Eastern Alps must also consider remobilization of tungsten by metamorphic fluids. In the Alps, the Permian to Triassic period (ca. 290–225 Ma) is characterized by an overall extensional geodynamic setting related to the breakup of Pangea. Lithospheric thinning caused higher heat flow, low-P metamorphism, and anatexis in the lower crust, which led to enhanced crustal fluid flow in the upper crust. These processes were not only responsible for the formation of metasomatic hydrothermal magnesite and siderite deposits in the Eastern Alps but also for this unique magnesite-ferberite-scheelite mineralization at Mallnock.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00126-024-01250-x","usgsCitation":"Altenberger, F., Krause, J., Wintzer, N.E., Iglseder, C., Berndt, J., Bachmann, K., and Raith, J., 2024, Polyphase stratabound scheelite-ferberite mineralization at Mallnock, Eastern Alps, Austria: Mineralium Deposita, v. 59, p. 1109-1132, https://doi.org/10.1007/s00126-024-01250-x.","productDescription":"24 p.","startPage":"1109","endPage":"1132","ipdsId":"IP-159342","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":440280,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00126-024-01250-x","text":"Publisher Index Page"},{"id":426168,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Austria","otherGeospatial":"Mount Mallock","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              13.73481753378806,\n              46.92647960232486\n            ],\n            [\n              13.73481753378806,\n              46.83902956248241\n            ],\n            [\n              13.798641711280709,\n              46.83902956248241\n            ],\n            [\n              13.798641711280709,\n              46.92647960232486\n            ],\n            [\n              13.73481753378806,\n              46.92647960232486\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"59","noUsgsAuthors":false,"publicationDate":"2024-02-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Altenberger, Florian","contributorId":334455,"corporation":false,"usgs":false,"family":"Altenberger","given":"Florian","email":"","affiliations":[{"id":65093,"text":"Montanuniversität Leoben","active":true,"usgs":false}],"preferred":false,"id":895739,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Krause, Joachim","contributorId":334456,"corporation":false,"usgs":false,"family":"Krause","given":"Joachim","email":"","affiliations":[{"id":80152,"text":"Helmholtz-Zentrum Dresden-Rossendorf","active":true,"usgs":false}],"preferred":false,"id":895740,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wintzer, Niki E. 0000-0003-3085-435X nwintzer@usgs.gov","orcid":"https://orcid.org/0000-0003-3085-435X","contributorId":5297,"corporation":false,"usgs":true,"family":"Wintzer","given":"Niki","email":"nwintzer@usgs.gov","middleInitial":"E.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":895741,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Iglseder, Christoph","contributorId":334457,"corporation":false,"usgs":false,"family":"Iglseder","given":"Christoph","email":"","affiliations":[{"id":65460,"text":"Geological Survey of Austria","active":true,"usgs":false}],"preferred":false,"id":895742,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Berndt, Jasper","contributorId":334458,"corporation":false,"usgs":false,"family":"Berndt","given":"Jasper","email":"","affiliations":[{"id":80153,"text":"Westfälische Wilhelms-Universität Münster","active":true,"usgs":false}],"preferred":false,"id":895743,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bachmann, Kai","contributorId":334459,"corporation":false,"usgs":false,"family":"Bachmann","given":"Kai","email":"","affiliations":[{"id":80152,"text":"Helmholtz-Zentrum Dresden-Rossendorf","active":true,"usgs":false}],"preferred":false,"id":895744,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raith, Johann","contributorId":334460,"corporation":false,"usgs":false,"family":"Raith","given":"Johann","email":"","affiliations":[{"id":65093,"text":"Montanuniversität Leoben","active":true,"usgs":false}],"preferred":false,"id":895745,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251763,"text":"70251763 - 2024 - Fewer bowl traps and more hand netting can increase effective number of bee species and reduce excessive captures","interactions":[],"lastModifiedDate":"2024-02-28T15:19:42.076468","indexId":"70251763","displayToPublicDate":"2024-02-26T09:16:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Fewer bowl traps and more hand netting can increase effective number of bee species and reduce excessive captures","docAbstract":"<p><span>Reports increasingly point to substantial declines in wild bee abundance and diversity, yet there is uncertainty about how best to measure these attributes in wild bee populations. Two commonly used methods are passive trapping with bee bowls or active netting of bees on flowers, but each of these has drawbacks. Comparing the outcomes of the two methods is complicated by their uncomparable units of effort. The abundance distribution of bee species is also typically highly skewed, making it difficult to accurately assess diversity when rarer species are unlikely to be caught. The effective number of species, or Hill numbers, provides a way forward by basing the response metric on the number of equally abundant species. Our goal is to compare the effective number of bee species captured between hand netting and bowl trapping in wheatgrass prairie in South Dakota and tallgrass prairie in Minnesota, USA. Species overlap between the two methods ranged from ~40% to ~60%. Emphasis placed on rare species was important, so that 95% confidence limits overlapped between the two methods for species richness but netting exceeded trapping for Shannon's and Simpson's diversities. Netting always captured more bee species with fewer bee individuals than trapping. In most cases, the number of bees captured in bowl traps indicated substantial over-sampling, with little increase in bee species detected. Correlations between bee and floral abundance, richness, and diversity differed between netted and trapped samples. We conclude that netting and trapping together produce a more complete account of species richness, but shifting sampling emphasis from trapping to netting will result in fewer bees, but more bee species captured. Due to the different relationships between bee and floral diversities that depended on sampling method, it is unwise to compare habitat associations determined by netting with those determined by trapping.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.11036","usgsCitation":"Larson, D., Pennarola, N.P., Leone, J.B., and Larson, J., 2024, Fewer bowl traps and more hand netting can increase effective number of bee species and reduce excessive captures: Ecology and Evolution, v. 14, no. 2, e11036, 16 p., https://doi.org/10.1002/ece3.11036.","productDescription":"e11036, 16 p.","ipdsId":"IP-156043","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":440304,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.11036","text":"Publisher Index Page"},{"id":426058,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-02-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Larson, Diane L. 0000-0001-5202-0634","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":260165,"corporation":false,"usgs":true,"family":"Larson","given":"Diane L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":895463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pennarola, Nora P.","contributorId":239528,"corporation":false,"usgs":false,"family":"Pennarola","given":"Nora","email":"","middleInitial":"P.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":895464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leone, Julia B.","contributorId":216121,"corporation":false,"usgs":false,"family":"Leone","given":"Julia","email":"","middleInitial":"B.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":895465,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Larson, Jennifer L. 0000-0002-6259-0101","orcid":"https://orcid.org/0000-0002-6259-0101","contributorId":317994,"corporation":false,"usgs":false,"family":"Larson","given":"Jennifer L.","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":895466,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70257187,"text":"70257187 - 2024 - Rupture jumping and seismic complexity in models of earthquake cycles for fault stepovers with off‐fault plasticity","interactions":[],"lastModifiedDate":"2024-08-13T12:13:56.685113","indexId":"70257187","displayToPublicDate":"2024-02-21T07:10:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":18330,"text":"Bulletin of the Seismological Șociety of America","active":true,"publicationSubtype":{"id":10}},"title":"Rupture jumping and seismic complexity in models of earthquake cycles for fault stepovers with off‐fault plasticity","docAbstract":"<div><div id=\"143552093\" class=\"article-section-wrapper js-article-section js-content-section  \" data-section-parent-id=\"0\"><p>Fault stepovers are prime examples of geometric complexity in natural fault zones that may affect seismic hazard by determining whether an earthquake rupture continues propagating or abruptly stops. However, the long‐term pattern of seismicity near‐fault stepovers and underlying mechanisms of rupture jumping in the context of earthquake cycles are rarely studied. Leveraging a hybrid numerical scheme combining the finite element and the spectral boundary integral methods, FEBE, we carry out fully dynamic simulations of sequences of earthquakes and aseismic slip for both compressive and tensile stepovers with off‐fault plasticity. We consider a rate‐and‐state friction law for the fault friction and pressure‐sensitive Drucker–Prager plasticity for the off‐fault bulk response. We observe that the accumulation of plastic deformation, an indication of off‐fault damage, is significantly different in the two cases, with more plastic deformation projected in the overlapping region for the tensile stepover. The seismic pattern for a tensile stepover is more complex than for a compressive stepover, and incorporating plasticity also increases complexity, relative to the elastic case. A tensile stepover with off‐fault plasticity shows rupture segmentation, temporal clustering, and frequent rupture jumping from one fault to another. These results shed light on possible mechanisms of rupture jumping in fault stepovers as well as the long‐term evolution of the fault zone.</p></div></div>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230249","usgsCitation":"Mia, S., Abdelmeguid, M., Harris, R.A., and Elbanna, A.E., 2024, Rupture jumping and seismic complexity in models of earthquake cycles for fault stepovers with off‐fault plasticity: Bulletin of the Seismological Șociety of America, v. 114, no. 3, p. 1466-1480, https://doi.org/10.1785/0120230249.","productDescription":"15 p.","startPage":"1466","endPage":"1480","ipdsId":"IP-157411","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":432592,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"114","issue":"3","noUsgsAuthors":false,"publicationDate":"2024-02-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Mia, Shumon","contributorId":342114,"corporation":false,"usgs":false,"family":"Mia","given":"Shumon","email":"","affiliations":[{"id":35128,"text":"University of Illinois Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":909681,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abdelmeguid, Mohamed","contributorId":342115,"corporation":false,"usgs":false,"family":"Abdelmeguid","given":"Mohamed","email":"","affiliations":[{"id":35128,"text":"University of Illinois Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":909682,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, Ruth A. 0000-0002-9247-0768 harris@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-0768","contributorId":786,"corporation":false,"usgs":true,"family":"Harris","given":"Ruth","email":"harris@usgs.gov","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":909683,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elbanna, Ahmed E.","contributorId":342116,"corporation":false,"usgs":false,"family":"Elbanna","given":"Ahmed","email":"","middleInitial":"E.","affiliations":[{"id":35128,"text":"University of Illinois Urbana Champaign","active":true,"usgs":false}],"preferred":false,"id":909684,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
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