{"pageNumber":"225","pageRowStart":"5600","pageSize":"25","recordCount":184617,"records":[{"id":70250060,"text":"sim3510 - 2023 - Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas","interactions":[{"subject":{"id":70176667,"text":"sim3366 - 2016 - Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas","indexId":"sim3366","publicationYear":"2016","noYear":false,"title":"Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas"},"predicate":"SUPERSEDED_BY","object":{"id":70250060,"text":"sim3510 - 2023 - Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas","indexId":"sim3510","publicationYear":"2023","noYear":false,"title":"Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas"},"id":1}],"lastModifiedDate":"2026-01-26T19:06:16.125955","indexId":"sim3510","displayToPublicDate":"2023-11-17T11:58:28","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3510","displayTitle":"Geologic Framework and Hydrostratigraphy of the Edwards and Trinity Aquifers Within Northern Bexar and Comal Counties, Texas","title":"Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><strong></strong></span>During 2020–22, the U.S. Geological Survey, in cooperation with the Edwards Aquifer Authority, revised a previous publication that described the geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas. This report presents the refined maps and descriptions of geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties that resulted from additional field data. Two informal geologic units and their corresponding informal hydrostratigraphic unit (HSU) names are introduced in this report; these informal units were identified during geologic mapping work done in counties adjoining the study area. Hydrostratigraphically, the rocks exposed in the study area represent a section of the upper confining unit to the Edwards aquifer, the Edwards aquifer, the upper zone of the Trinity aquifer, the middle zone of the Trinity aquifer, and the lower confining unit to the middle zone of the Trinity aquifer. The Washita, Eagle Ford, Austin, and Taylor Groups are generally considered to be the upper confining unit to the Edwards aquifer. The Edwards aquifer was subdivided into nine informally named HSUs (from top to bottom) as follows: I, II, III, IV, V, VI, VII, Seco Pass, and VIII. The upper zone of the Trinity aquifer was subdivided into five informal HSUs and two subunits (from top to bottom) as follows: cavernous, Camp Bullis, upper evaporite, fossiliferous (subunits: upper and lower), and lower evaporite. The middle zone of the Trinity aquifer was subdivided into nine named HSUs (from top to bottom) as follows: Bulverde, Little Blanco, Twin Sisters, Doeppenschmidt, Herff Falls (where present), Rust, Honey Creek, Hensell, and Cow Creek. The middle zone of the Trinity aquifer is underlain by the confining Hammett HSU. Groundwater recharge and flow paths in the study area are influenced not only by the hydrostratigraphic characteristics of the individual HSUs but also by faults and fractures.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3510","issn":"2329-132X","collaboration":"Prepared in cooperation with the Edwards Aquifer Authority","usgsCitation":"Clark, A.K., Golab, J.A., Morris, R.R., and Pedraza, D.E., 2023, Geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas (ver. 1.1, July 2025): U.S. Geological Survey Scientific Investigations Map 3510, 1 sheet, scale 1:24,000, 24-p. pamphlet, https://doi.org/10.3133/sim3510. [Supersedes USGS Scientific Investigations Map 3366.]","productDescription":"Report: viii, 24 p., 1 Sheet: 68.19 × 50.65 inches; Data Release","numberOfPages":"36","onlineOnly":"Y","ipdsId":"IP-137862","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":493048,"rank":6,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3510/SIM3510_ver1.1_VersionHistory.txt","linkFileType":{"id":2,"text":"txt"}},{"id":422633,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GXJ2RS","text":"USGS Data Release","linkHelpText":"Geospatial dataset for the geologic framework and hydrostratigraphy of the Edwards and Trinity aquifers within northern Bexar and Comal Counties, Texas, at 1:24,000 scale"},{"id":422630,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sim/3510/Images"},{"id":422631,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3510/SIM3510_pamphlet.pdf","text":"Pamphlet","size":"3.08 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3510 pdf"},{"id":422661,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3510/coverthb2.jpg"},{"id":422632,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3510/SIM3510.pdf","size":"15.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3510 Plate 1","linkHelpText":"Geologic Framework and Hydrostratigraphy of the Edwards and Trinity Aquifers Within Northern Bexar and Comal Counties, Texas"},{"id":499035,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115631.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","county":"Bexar County, Comal County","otherGeospatial":"Edwards Aquifer, Trinity Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.30017089843749,\n              30.0405664305846\n            ],\n            [\n              -98.65447998046875,\n              29.75364773335698\n            ],\n            [\n              -98.78494262695312,\n              29.72025928058346\n            ],\n            [\n              -98.80691528320311,\n              29.699982298744377\n            ],\n            [\n              -98.80691528320311,\n              29.489815619374962\n            ],\n            [\n              -98.60916137695312,\n              29.48383858387499\n            ],\n            [\n              -98.316650390625,\n              29.597341920567366\n            ],\n            [\n              -98.09280395507812,\n              29.685666670118724\n            ],\n            [\n              -97.99942016601562,\n              29.757224408272663\n            ],\n            [\n              -98.0364990234375,\n              29.852555290064018\n            ],\n            [\n              -98.30017089843749,\n              30.0405664305846\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: November 17, 2023; Version 1.1: July 29, 2025","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/ot-water\" href=\"https://www.usgs.gov/centers/ot-water\">Oklahoma-Texas Water Science Center</a><br>U.S. Geological Survey<br>1505 Ferguson Lane<br>Austin, TX 78754–4501</p><p><a data-mce-href=\"../\" href=\"../\"><span class=\"ContentPasted3\">Contact Pubs Warehouse</span></a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Geologic Framework</li><li>Hydrostratigraphy</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2023-11-17","revisedDate":"2025-07-29","noUsgsAuthors":false,"publicationDate":"2023-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Clark, Allan K. 0000-0003-0099-1521 akclark@usgs.gov","orcid":"https://orcid.org/0000-0003-0099-1521","contributorId":1279,"corporation":false,"usgs":true,"family":"Clark","given":"Allan","email":"akclark@usgs.gov","middleInitial":"K.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":888167,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Golab, James A. 0000-0002-3222-6114 jgolab@usgs.gov","orcid":"https://orcid.org/0000-0002-3222-6114","contributorId":173290,"corporation":false,"usgs":false,"family":"Golab","given":"James","email":"jgolab@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":888332,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morris, Robert R. 0000-0001-7504-3732","orcid":"https://orcid.org/0000-0001-7504-3732","contributorId":331599,"corporation":false,"usgs":true,"family":"Morris","given":"Robert R.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888169,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pedraza, Diana E. 0000-0003-4483-8094","orcid":"https://orcid.org/0000-0003-4483-8094","contributorId":217877,"corporation":false,"usgs":true,"family":"Pedraza","given":"Diana E.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888170,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70250061,"text":"sir20235099 - 2023 - Machine-learning predictions of groundwater specific conductance in the Mississippi Alluvial Plain, south-central United States, with evaluation of regional geophysical aerial electromagnetic data as explanatory variables","interactions":[],"lastModifiedDate":"2026-03-13T15:15:40.637546","indexId":"sir20235099","displayToPublicDate":"2023-11-17T09:01:14","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5099","displayTitle":"Machine-Learning Predictions of Groundwater Specific Conductance in the Mississippi Alluvial Plain, South-Central United States, With Evaluation of Regional Geophysical Aerial Electromagnetic Data as Explanatory Variables","title":"Machine-learning predictions of groundwater specific conductance in the Mississippi Alluvial Plain, south-central United States, with evaluation of regional geophysical aerial electromagnetic data as explanatory variables","docAbstract":"<p>The Mississippi Alluvial Plain, located in the south-central United States, is undergoing long-term groundwater-level declines within the surficial Mississippi River Valley alluvial aquifer (hereinafter referred to as “alluvial aquifer”), which has raised concerns about future groundwater availability. In some parts of the alluvial aquifer, groundwater availability for common uses such as irrigation, public supply, and domestic use is limited by quality (for example, high salinity) rather than quantity of water stored in the aquifer. The Mississippi Alluvial Plain region has an abundance of water-quality measurements in the alluvial aquifer and deeper aquifers; however, large areas lack direct measurements of salinity to evaluate regional groundwater availability. Statistical models can interpolate between wells to fill in spatial data gaps. In 2021, the U.S. Geological Survey trained two boosted regression tree (BRT) machine-learning models on specific conductance data available between 1942 and 2020 to predict spatially continuous surfaces of groundwater salinity at multiple depths for the alluvial aquifer and deeper aquifers. Well construction information, water levels, and surficial variables such as geomorphology and soils were included as explanatory variables in this baseline model. Additionally, subsurface electrical resistivity data from the first aquifer-wide aerial electromagnetic (AEM) survey for the region were incorporated to create a geophysical model. This work expands on prior BRT salinity predictions of the alluvial aquifer and extends predictions south to the Gulf of Mexico, where groundwater salinity is high. AEM survey data were not available for the southern extent of the alluvial aquifer at the time of modeling. A BRT model was trained without (baseline) and with (geophysical) AEM variables to test the ability of the models to predict salinity where explanatory data are missing and response data are sparse. Additionally, model sensitivity to AEM survey data was evaluated to better understand how AEM variables influence specific conductance predictions. Model performance was improved with the addition of geophysical data, which added three-dimensional information, thereby improving salinity predictions at depth. Groundwater specific conductance predictions can help inform other geophysical investigations in the southern extent of the study area, where high groundwater specific conductance can obfuscate changes in aquifer sediment resistivity and could limit groundwater resources for agricultural, public supply, and domestic uses.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235099","issn":"2328-0328","programNote":"Water Availability and Use Science Program","usgsCitation":"Killian, C.D., and Knierim, K.J., 2023, Machine-learning predictions of groundwater specific conductance in the Mississippi Alluvial Plain, south-central United States, with evaluation of regional geophysical aerial electromagnetic data as explanatory variables: U.S. Geological Survey Scientific Investigations Report 2023–5099, 36 p., 1 pl., https://doi.org/10.3133/sir20235099.","productDescription":"Report: viii, 36 p., 1 Plate: 33.04 × 37.14 inches; Dataset; Data Release","numberOfPages":"48","onlineOnly":"Y","ipdsId":"IP-117784","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":501148,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115638.htm","linkFileType":{"id":5,"text":"html"}},{"id":423108,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235099/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5099 HTML"},{"id":422628,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sir/2023/5099/sir20235099_plate01.pdf","text":"Plate 1","size":"12.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5099 Plate 1","linkHelpText":"—Raster Predictions of Specific Conductance at Groundwater Wells by Depth in the Mississippi Alluvial Plain Region"},{"id":422626,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WSE8JS","text":"USGS Data Release","linkHelpText":"Machine-learning model predictions and rasters of groundwater salinity in the Mississippi Alluvial Plain"},{"id":422623,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5099/Images"},{"id":422622,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5099/sir20235099.pdf","size":"31.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5099"},{"id":422621,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5099/coverthb.jpg"},{"id":422624,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5099/sir20235099.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2023-5099 XML"},{"id":422627,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS Dataset","linkHelpText":"—USGS water data for the Nation"}],"country":"United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.8114869520446,\n              37.89139322749202\n            ],\n            [\n              -92.8114869520446,\n              28.689695810736353\n            ],\n            [\n              -87.62594007704502,\n              28.689695810736353\n            ],\n            [\n              -87.62594007704502,\n              37.89139322749202\n            ],\n            [\n              -92.8114869520446,\n              37.89139322749202\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\" href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a> <br>U.S. Geological Survey&nbsp;<br><span class=\"HQEo7\" role=\"link\" data-markjs=\"true\" data-mce-tabindex=\"0\">640 Grassmere Park, suite 100 <br>Nashville, TN 37211</span>&nbsp;</p><p><a data-mce-href=\"../\" href=\"../\"><span class=\"ContentPasted3\">Contact Pubs Warehouse</span></a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2023-11-17","noUsgsAuthors":false,"publicationDate":"2023-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Killian, Courtney D. 0000-0002-2137-2722","orcid":"https://orcid.org/0000-0002-2137-2722","contributorId":213990,"corporation":false,"usgs":true,"family":"Killian","given":"Courtney","email":"","middleInitial":"D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888171,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knierim, Katherine J. 0000-0002-5361-4132 kknierim@usgs.gov","orcid":"https://orcid.org/0000-0002-5361-4132","contributorId":191788,"corporation":false,"usgs":true,"family":"Knierim","given":"Katherine","email":"kknierim@usgs.gov","middleInitial":"J.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888172,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70250515,"text":"70250515 - 2023 - Less is more: Less herbicide does more when biological control is present in Pontederia crassipes","interactions":[],"lastModifiedDate":"2023-12-14T12:43:11.880092","indexId":"70250515","displayToPublicDate":"2023-11-17T06:42:04","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1458,"text":"Ecological Modelling","active":true,"publicationSubtype":{"id":10}},"title":"Less is more: Less herbicide does more when biological control is present in Pontederia crassipes","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif text-s\"><div id=\"abs0002\" class=\"abstract author\"><div id=\"abss0002\"><p id=\"spara012\">An experiment along with simulation modeling was applied to study the combinations of herbicide treatment and biological control that best limit invasive water hyacinth (<i>Pontederia crassipes</i>, formerly<span>&nbsp;</span><i>Eichhornia crassipes</i>) in freshwater aquatic systems. The experiment consisted of 14 different treatments of<span>&nbsp;</span><i>P. crassipes</i><span>&nbsp;</span>in 1.67&nbsp;m<sup>2</sup><span>&nbsp;</span>outdoor tank mesocosms. Seven treatments were with and seven were without insect biological control agents,<span>&nbsp;</span><i>Neochetina eichhorniae</i>. In both of the sets of seven treatments, there was one no-herbicide treatment, a one-time full-strength herbicide treatment with 40&nbsp;%, 80&nbsp;% and 100&nbsp;% coverage of the<span>&nbsp;</span><i>P. crassipes</i>, and a one-time half-strength herbicide treatment with 40&nbsp;%, 80&nbsp;%, and 100&nbsp;% surface area coverage. An overarching hypothesis was that leaving part of a tank unsprayed, providing habitat for the maintenance of biological control agents, would optimize control. Data from the experiment, measured on five days over the 167-day period, were used to calibrate a difference equation model of<span>&nbsp;</span><i>P. crassipes</i><span>&nbsp;</span>with and without the biological control agent. The model was then used to project longer term dynamics of the system. The model predicted that an initial one-time herbicide treatment, combined with application of the biocontrol agent at 80&nbsp;% areal coverage, could maintain<span>&nbsp;</span><i>P. crassipes</i><span>&nbsp;</span>at levels lower than the carrying capacity of the plant's biomass over the long term, though not enough that<span>&nbsp;</span><i>N. eichhorniae</i><span>&nbsp;</span>would be considered, by itself, a highly effective control. However, the results suggest that a combination of biocontrol with 80&nbsp;% spraying coverage every 600 days or so would be an effective integrated biocontrol strategy for maintaining decreased<span>&nbsp;</span><i>P. crassipes</i><span>&nbsp;</span>biomass at low levels over the long term.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2023.110566","usgsCitation":"Xu, L., Goode, A.B., Tipping, P.W., Smith, M.C., Gettys, L., Knowles, B.K., Pokorny, E., Salinas, L., and DeAngelis, D., 2023, Less is more: Less herbicide does more when biological control is present in Pontederia crassipes: Ecological Modelling, v. 487, 110566, 11 p., https://doi.org/10.1016/j.ecolmodel.2023.110566.","productDescription":"110566, 11 p.","ipdsId":"IP-149426","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":467074,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecolmodel.2023.110566","text":"Publisher Index Page"},{"id":423572,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"487","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Xu, Linhao","contributorId":221358,"corporation":false,"usgs":false,"family":"Xu","given":"Linhao","email":"","affiliations":[{"id":40353,"text":"Co-Innovation Center for Sustainable Forestry in Southern China, Jiangsu Province Key","active":true,"usgs":false}],"preferred":false,"id":890219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goode, Ashley B.C.","contributorId":332463,"corporation":false,"usgs":false,"family":"Goode","given":"Ashley","middleInitial":"B.C.","affiliations":[{"id":33268,"text":"USDA-ARS Aquatic Weed Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":890220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tipping, Philip W.","contributorId":332464,"corporation":false,"usgs":false,"family":"Tipping","given":"Philip","email":"","middleInitial":"W.","affiliations":[{"id":33268,"text":"USDA-ARS Aquatic Weed Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":890221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Melissa C.","contributorId":221360,"corporation":false,"usgs":false,"family":"Smith","given":"Melissa","email":"","middleInitial":"C.","affiliations":[{"id":40354,"text":"USDA-ARS Invasive Plant Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":890222,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gettys, Lyn A.","contributorId":332465,"corporation":false,"usgs":false,"family":"Gettys","given":"Lyn A.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":890223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knowles, Brittany K.","contributorId":332466,"corporation":false,"usgs":false,"family":"Knowles","given":"Brittany","email":"","middleInitial":"K.","affiliations":[{"id":33268,"text":"USDA-ARS Aquatic Weed Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":890224,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pokorny, Eileen","contributorId":332467,"corporation":false,"usgs":false,"family":"Pokorny","given":"Eileen","email":"","affiliations":[{"id":33268,"text":"USDA-ARS Aquatic Weed Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":890225,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Salinas, Luz","contributorId":332468,"corporation":false,"usgs":false,"family":"Salinas","given":"Luz","email":"","affiliations":[{"id":33268,"text":"USDA-ARS Aquatic Weed Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":890226,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"DeAngelis, Don 0000-0002-1570-4057","orcid":"https://orcid.org/0000-0002-1570-4057","contributorId":221357,"corporation":false,"usgs":true,"family":"DeAngelis","given":"Don","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":890227,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70250086,"text":"ofr20211030P - 2023 - System characterization report on the Pléiades Neo Imager","interactions":[{"subject":{"id":70250086,"text":"ofr20211030P - 2023 - System characterization report on the Pléiades Neo Imager","indexId":"ofr20211030P","publicationYear":"2023","noYear":false,"chapter":"P","displayTitle":"System Characterization Report on the Pléiades Neo Imager","title":"System characterization report on the Pléiades Neo Imager"},"predicate":"IS_PART_OF","object":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"id":1}],"isPartOf":{"id":70221266,"text":"ofr20211030 - 2021 - System characterization of Earth observation sensors","indexId":"ofr20211030","publicationYear":"2021","noYear":false,"title":"System characterization of Earth observation sensors"},"lastModifiedDate":"2024-06-17T19:42:45.516982","indexId":"ofr20211030P","displayToPublicDate":"2023-11-16T15:55:10","publicationYear":"2023","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":"2021-1030","chapter":"P","displayTitle":"System Characterization Report on the Pléiades Neo Imager","title":"System characterization report on the Pléiades Neo Imager","docAbstract":"<h1>Executive Summary</h1><p>This report addresses system characterization of the Pléiades Neo satellite and is part of a series of system characterization reports produced and delivered by the U.S. Geological Survey Earth Resources Observation and Science Cal/Val Center of Excellence. These reports present and detail the methodology and procedures for characterization; present technical and operational information about the specific sensing system being evaluated; and provide a summary of test measurements, data retention practices, data analysis results, and conclusions.</p><p>Pléiades Neo is a constellation of four identical very-high-resolution optical satellites operated by Airbus Defence and Space. The first two satellites, Pléiades Neo-3 and -4, were launched in April and August 2021, respectively. The next two satellites, launched in December 2022, did not reach orbit because of Vega-C launch vehicle failure. Pléiades Neo provides several technical improvements to previous Pléiades-HR satellites, including the addition of coastal aerosol (deep blue) and red edge spectral bands, with improved ground sample distance and swath. The Pléiades Neo satellites were designed and built by Airbus Defence and Space with the high-resolution, multispectral imager for Earth imaging and use the S950 optical satellite bus. The high-resolution sensor on Pléiades Neo collects Earth data in the visible and near-infrared region with six bands and a panchromatic band. The satellites can operate off nadir to achieve a revisit of less than 1 day. More information on Pléiades Neo satellites and sensors is available in the “Land Remote Sensing Satellites Online Compendium” (<a data-mce-href=\"https://calval.cr.usgs.gov/apps/compendium\" href=\"https://calval.cr.usgs.gov/apps/compendium\">https://calval.cr.usgs.gov/apps/compendium#</a>) and from the manufacturer (<a data-mce-href=\"https://www.intelligence-airbusds.com/imagery/constellation/pleiades-Neo/\" href=\"https://www.intelligence-airbusds.com/imagery/constellation/pleiades-Neo/\">https://www.intelligence-airbusds.com/imagery/constellation/pleiades-Neo/</a>).</p><p>The Earth Resources Observation and Science Cal/Val Center of Excellence system characterization team completed data analyses to characterize the geometric (interior and exterior), radiometric, and spatial performances. Results of these analyses indicate that Pléiades Neo has an interior geometric performance in the range of 0.01 meter (m; 0.008 pixel) to −0.017 m (−0.014 pixel) in band-to-band registration; an exterior geometric performance in the range of −7.015 m (−0.702 pixel) to 3.846 m (0.385 pixel) offset in comparison to Sentinel-2 using ground control points of 2.2 to 7.2 m (95-percent circular error); a radiometric performance in the range of −0.070 (minimum) to −0.053 (maximum) in offset and 1.107 (minimum) to 1.202 (maximum) in slope; and a spatial performance in the range of 1.002 to 1.226 pixels at full width at half maximum with a modulation transfer function at a Nyquist frequency in the range of 0.22 to 0.34 (bands 2–7).</p>","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"System Characterization of Earth Observation Sensors","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211030P","usgsCitation":"Cantrell, S.J., Sampath, A., Vrabel, J.C., Bresnahan, P., Anderson, C., Kim, M., and Park, S., 2023, System characterization report on the Pléiades Neo Imager (ver. 1.1, April 2024), chap. P <em>of</em> Ramaseri Chandra, S.N., comp., System characterization of Earth observation sensors: U.S. Geological Survey Open-File Report 2021–1030, 52 p., https://doi.org/10.3133/ofr20211030P.","productDescription":"Report: vi, 52 p.; Version History","numberOfPages":"62","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-154436","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":422656,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1030/p/coverthb2.jpg"},{"id":422657,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1030/p/ofr20211030p.pdf","text":"Report","size":"21.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1030–P"},{"id":422658,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1030/p/ofr20211030p.XML"},{"id":428107,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2021/1030/p/versionHist.txt","text":"Version History","size":"1.99 kB","linkFileType":{"id":2,"text":"txt"}}],"edition":"Version 1.0: November 16, 2023; Version 1.1: April 29, 2024","contact":"<p>Director,&nbsp;<a href=\"https://www.usgs.gov/centers/eros\" data-mce-href=\"https://www.usgs.gov/centers/eros\">Earth Resources Observation and Science Center</a><br>U.S. Geological Survey<br>47914 252nd Street<br>Sioux Falls, SD 57198</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Executive Summary</li><li>Introduction</li><li>System Description</li><li>Procedures</li><li>Measurements</li><li>Analysis</li><li>Summary and Conclusions</li><li>Selected References</li><li>Appendix 1. Explanation of Ground Control Points Method and Metadata</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-11-16","revisedDate":"2024-04-29","noUsgsAuthors":false,"publicationDate":"2023-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Cantrell, Simon J. 0000-0001-6909-1973","orcid":"https://orcid.org/0000-0001-6909-1973","contributorId":259304,"corporation":false,"usgs":false,"family":"Cantrell","given":"Simon J.","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":888269,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sampath, Aparajithan 0000-0002-6922-4913","orcid":"https://orcid.org/0000-0002-6922-4913","contributorId":222486,"corporation":false,"usgs":false,"family":"Sampath","given":"Aparajithan","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":888270,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vrabel, James C. 0000-0002-0120-4721","orcid":"https://orcid.org/0000-0002-0120-4721","contributorId":264751,"corporation":false,"usgs":false,"family":"Vrabel","given":"James C.","affiliations":[{"id":27608,"text":"Contractor to the USGS","active":true,"usgs":false}],"preferred":false,"id":888271,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bresnahan, Paul 0000-0002-3491-0956","orcid":"https://orcid.org/0000-0002-3491-0956","contributorId":306120,"corporation":false,"usgs":false,"family":"Bresnahan","given":"Paul","affiliations":[{"id":27608,"text":"Contractor to the USGS","active":true,"usgs":false}],"preferred":false,"id":888272,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anderson, Cody 0000-0001-5612-1889 chanderson@usgs.gov","orcid":"https://orcid.org/0000-0001-5612-1889","contributorId":195521,"corporation":false,"usgs":true,"family":"Anderson","given":"Cody","email":"chanderson@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":888275,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kim, Minsu 0000-0003-4472-0926","orcid":"https://orcid.org/0000-0003-4472-0926","contributorId":297371,"corporation":false,"usgs":false,"family":"Kim","given":"Minsu","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":false,"id":888273,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Park, Seonkyung 0000-0003-3203-1998 seonkyungpark@contractor.usgs.gov","orcid":"https://orcid.org/0000-0003-3203-1998","contributorId":222488,"corporation":false,"usgs":false,"family":"Park","given":"Seonkyung","email":"seonkyungpark@contractor.usgs.gov","affiliations":[{"id":40547,"text":"United Support Services, Contractor to the USGS Earth Resources Observation and Science (EROS) Center","active":true,"usgs":false}],"preferred":false,"id":888274,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70250271,"text":"70250271 - 2023 - Investigating permafrost carbon dynamics in Alaska with artificial intelligence","interactions":[],"lastModifiedDate":"2023-11-30T13:12:50.071693","indexId":"70250271","displayToPublicDate":"2023-11-16T07:09:57","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Investigating permafrost carbon dynamics in Alaska with artificial intelligence","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Positive feedbacks between permafrost degradation and the release of soil carbon into the atmosphere impact land–atmosphere interactions, disrupt the global carbon cycle, and accelerate climate change. The widespread distribution of thawing permafrost is causing a cascade of geophysical and biochemical disturbances with global impacts. Currently, few earth system models account for permafrost carbon feedback (PCF) mechanisms. This research study integrates artificial intelligence (AI) tools and information derived from field-scale surveys across the tundra and boreal landscapes in Alaska. We identify and interpret the permafrost carbon cycling links and feedback sensitivities with GeoCryoAI, a hybridized multimodal deep learning (DL) architecture of stacked convolutionally layered, memory-encoded recurrent neural networks (NN). This framework integrates<span>&nbsp;</span><i>in-situ</i><span>&nbsp;</span>measurements and flux tower observations for teacher forcing and model training. Preliminary experiments to quantify, validate, and forecast permafrost degradation and carbon efflux across Alaska demonstrate the fidelity of this data-driven architecture. More specifically, GeoCryoAI logs the ecological memory and effectively learns covariate dynamics while demonstrating an aptitude to simulate and forecast PCF dynamics—active layer thickness (ALT), carbon dioxide flux (CO<sub>2</sub>), and methane flux (CH<sub>4</sub>)—with high precision and minimal loss (i.e. ALT<sup>RMSE</sup>: 1.327 cm [1969–2022]; CO<sub>2</sub><sup>RMSE</sup>: 0.697<span>&nbsp;</span><i>µ</i>molCO<sub>2</sub>m<sup>−2</sup>s<sup>−1</sup><span>&nbsp;</span>[2003–2021]; CH<sub>4</sub><sup>RMSE</sup>: 0.715 nmolCH<sub>4</sub>m<sup>−2</sup>s<sup>−1</sup><span>&nbsp;</span>[2011–2022]). ALT variability is a sensitive harbinger of change, a unique signal characterizing the PCF, and our model is the first characterization of these dynamics across space and time.</p></div>","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/ad0607","usgsCitation":"Gay, B., Pastick, N., Zufle, A., Armstrong, A., Miner, K., and Qu, J., 2023, Investigating permafrost carbon dynamics in Alaska with artificial intelligence: Environmental Research Letters, v. 18, no. 12, 125001, 20 p., https://doi.org/10.1088/1748-9326/ad0607.","productDescription":"125001, 20 p.","ipdsId":"IP-158731","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":441585,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ad0607","text":"Publisher Index Page"},{"id":423088,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -157.71401031875757,\n              58.963334167122895\n            ],\n            [\n              -152.79213531875774,\n              62.03364889814105\n            ],\n            [\n              -147.07924469375772,\n              63.08656488912206\n            ],\n            [\n              -142.24526031875774,\n              62.44303153277835\n            ],\n            [\n              -141.01479156875783,\n              62.198069009088584\n            ],\n            [\n              -141.01479156875783,\n              66.69800816270453\n            ],\n            [\n              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0000-0002-4321-6739","orcid":"https://orcid.org/0000-0002-4321-6739","contributorId":222683,"corporation":false,"usgs":true,"family":"Pastick","given":"Neal","email":"","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":false,"id":889235,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zufle, Andreas 0000-0001-7001-4123","orcid":"https://orcid.org/0000-0001-7001-4123","contributorId":332011,"corporation":false,"usgs":false,"family":"Zufle","given":"Andreas","email":"","affiliations":[{"id":40432,"text":"Emory University","active":true,"usgs":false}],"preferred":false,"id":889236,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Armstrong, Amanda 0000-0002-9123-8924","orcid":"https://orcid.org/0000-0002-9123-8924","contributorId":332012,"corporation":false,"usgs":false,"family":"Armstrong","given":"Amanda","email":"","affiliations":[{"id":40052,"text":"NASA Goddard","active":true,"usgs":false}],"preferred":false,"id":889237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Miner, Kimberly 0000-0002-1006-1283","orcid":"https://orcid.org/0000-0002-1006-1283","contributorId":329027,"corporation":false,"usgs":false,"family":"Miner","given":"Kimberly","email":"","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":889238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Qu, J.J.","contributorId":182468,"corporation":false,"usgs":false,"family":"Qu","given":"J.J.","email":"","affiliations":[],"preferred":false,"id":889239,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250062,"text":"70250062 - 2023 - Editorial: Rapid, reproducible, and robust environmental modeling for decision support: worked examples and open-source software tools","interactions":[],"lastModifiedDate":"2023-11-16T12:36:06.571747","indexId":"70250062","displayToPublicDate":"2023-11-16T06:32:40","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5232,"text":"Frontiers in Earth Science","onlineIssn":"2296-6463","active":true,"publicationSubtype":{"id":10}},"title":"Editorial: Rapid, reproducible, and robust environmental modeling for decision support: worked examples and open-source software tools","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/feart.2023.1260581","usgsCitation":"White, J., Fienen, M., Moore, C.R., and Guthke, A., 2023, Editorial: Rapid, reproducible, and robust environmental modeling for decision support: worked examples and open-source software tools: Frontiers in Earth Science, v. 11, 1260581, 3 p., https://doi.org/10.3389/feart.2023.1260581.","productDescription":"1260581, 3 p.","ipdsId":"IP-155062","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":441587,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2023.1260581","text":"Publisher Index Page"},{"id":422650,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2023-09-13","publicationStatus":"PW","contributors":{"authors":[{"text":"White, Jeremy","contributorId":260166,"corporation":false,"usgs":false,"family":"White","given":"Jeremy","affiliations":[{"id":52529,"text":"Interra","active":true,"usgs":false}],"preferred":false,"id":888173,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888174,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moore, Catherine R.","contributorId":251908,"corporation":false,"usgs":false,"family":"Moore","given":"Catherine","email":"","middleInitial":"R.","affiliations":[{"id":36277,"text":"GNS Science","active":true,"usgs":false}],"preferred":false,"id":888175,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Guthke, Anneli","contributorId":331600,"corporation":false,"usgs":false,"family":"Guthke","given":"Anneli","email":"","affiliations":[{"id":79251,"text":"Stuttgart Center for Simulation Science, Cluster of Excellence","active":true,"usgs":false}],"preferred":false,"id":888176,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70250150,"text":"70250150 - 2023 - Environmental surveillance and detection of infectious highly pathogenic avian influenza virus in Iowa wetlands","interactions":[],"lastModifiedDate":"2023-12-21T14:51:14.281714","indexId":"70250150","displayToPublicDate":"2023-11-15T10:52:17","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5022,"text":"Environmental Science & Technology Letters","onlineIssn":"2328-8930","active":true,"publicationSubtype":{"id":10}},"title":"Environmental surveillance and detection of infectious highly pathogenic avian influenza virus in Iowa wetlands","docAbstract":"<p><span>Avian influenza viruses (AIVs) infect both wild birds and domestic poultry, resulting in economically costly outbreaks that have the potential to impact public health. Currently, a knowledge gap exists regarding the detection of infectious AIVs in the aquatic environment. In response to the 2021–2022 Eurasian strain highly pathogenic avian influenza (HPAI) A/goose/Guangdong/1/1996 clade 2.3.4.4 lineage H5 outbreak, an AIV environmental outbreak response study was conducted using a One Health approach. An optimized method was used to temporally sample (April and May 2022) and analyze (culture and molecular methods) surface water from five water bodies (four wetlands and one lake used as a comparison location) in areas near confirmed HPAI detections in wild bird or poultry operations. Avian influenza viruses were isolated from water samples collected in April from all four wetlands (not from the comparison lake sample); HPAI H5N1 was isolated from one wetland. No virus was isolated from the May samples. Several factors, including increased water temperatures, precipitation, biotic and abiotic factors, and absence of AIV-contaminated fecal material due to fewer waterfowl present, may have contributed to the lack of virus isolation from May samples. Results demonstrate surface water as a plausible medium for transmission of AIVs, including the HPAI virus.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.estlett.3c00668","usgsCitation":"Hubbard, L.E., Givens, C.E., Stelzer, E., Killian, M.L., Kolpin, D., Szablewski, C.M., and Poulson, R., 2023, Environmental surveillance and detection of infectious highly pathogenic avian influenza virus in Iowa wetlands: Environmental Science & Technology Letters, v. 10, no. 12, p. 1181-1187, https://doi.org/10.1021/acs.estlett.3c00668.","productDescription":"7 p.","startPage":"1181","endPage":"1187","ipdsId":"IP-152787","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":441589,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.estlett.3c00668","text":"Publisher Index Page"},{"id":435121,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Y9EZI9","text":"USGS data release","linkHelpText":"Sampling information and water-quality data collected during viable avian influenza virus sampling in Iowa wetlands, 2022"},{"id":422842,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"10","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Hubbard, Laura E. 0000-0003-3813-1500 lhubbard@usgs.gov","orcid":"https://orcid.org/0000-0003-3813-1500","contributorId":4221,"corporation":false,"usgs":true,"family":"Hubbard","given":"Laura","email":"lhubbard@usgs.gov","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Givens, Carrie E. 0000-0003-2543-9610","orcid":"https://orcid.org/0000-0003-2543-9610","contributorId":247691,"corporation":false,"usgs":true,"family":"Givens","given":"Carrie","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stelzer, Erin A. 0000-0001-7645-7603","orcid":"https://orcid.org/0000-0001-7645-7603","contributorId":220549,"corporation":false,"usgs":true,"family":"Stelzer","given":"Erin A.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888574,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Killian, Mary L.","contributorId":29685,"corporation":false,"usgs":false,"family":"Killian","given":"Mary","email":"","middleInitial":"L.","affiliations":[{"id":6622,"text":"US Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":888575,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":204154,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"preferred":true,"id":888576,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Szablewski, Christine M. 0000-0003-4796-7318","orcid":"https://orcid.org/0000-0003-4796-7318","contributorId":331719,"corporation":false,"usgs":false,"family":"Szablewski","given":"Christine","email":"","middleInitial":"M.","affiliations":[{"id":17914,"text":"CDC","active":true,"usgs":false}],"preferred":false,"id":888577,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":888578,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70251362,"text":"70251362 - 2023 - Aquatic carbon export and dynamics in mountain headwater streams of the western U.S.","interactions":[],"lastModifiedDate":"2024-02-07T13:11:58.68272","indexId":"70251362","displayToPublicDate":"2023-11-15T07:10:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17151,"text":"Journal of Geophysical Research: Biogeosciences.","active":true,"publicationSubtype":{"id":10}},"title":"Aquatic carbon export and dynamics in mountain headwater streams of the western U.S.","docAbstract":"<p><span>Mountain headwater streams actively cycle carbon, receiving it from terrestrial landscapes and exporting it through downstream transport and gas exchange with the atmosphere. Although their importance is now widely recognized, aquatic carbon fluxes in headwater streams remain poorly characterized. In this study, aquatic carbon fluxes were measured in 15 mountain headwater streams and were used in a geostatistical analysis to determine how landscape characteristics influence aquatic carbon fluxes. In-stream sensors were used to measure fluorescent dissolved organic matter (fDOM) (a surrogate for dissolved organic carbon (DOC)) at a subset of sites to characterize dynamic responses to hydroclimatic events. Wetlands have a positive influence on aquatic carbon fluxes, whereas perennial snow/ice has the opposite effect, reflecting differences in soil organic matter content in these landscapes. Mean annual temperature (MAT) has a complex influence on DOC, with peak DOC exports in basins with MAT of 0–2°C. Precipitation has a strong positive influence on aquatic carbon fluxes, and declining snowpacks in the western United States may reduce future aquatic carbon exports. fDOM (and by implication DOC) and&nbsp;</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JG007538","usgsCitation":"Clow, D.W., Akie, G.A., Striegl, R.G., Penn, C., Sexstone, G., and Keith, G.L., 2023, Aquatic carbon export and dynamics in mountain headwater streams of the western U.S.: Journal of Geophysical Research: Biogeosciences., v. 128, no. 11, e2023JG007538, 21 p., https://doi.org/10.1029/2023JG007538.","productDescription":"e2023JG007538, 21 p.","ipdsId":"IP-152741","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":441592,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jg007538","text":"Publisher Index Page"},{"id":425467,"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              -126.33671793374008,\n              50.04663794752611\n            ],\n            [\n              -126.33671793374008,\n              36.6265614981065\n            ],\n            [\n              -101.92206066401474,\n              36.6265614981065\n            ],\n            [\n              -101.92206066401474,\n              50.04663794752611\n            ],\n            [\n              -126.33671793374008,\n              50.04663794752611\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"128","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Clow, David W. 0000-0001-6183-4824 dwclow@usgs.gov","orcid":"https://orcid.org/0000-0001-6183-4824","contributorId":1671,"corporation":false,"usgs":true,"family":"Clow","given":"David","email":"dwclow@usgs.gov","middleInitial":"W.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894264,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akie, Garrett Alexander 0000-0002-6356-7106","orcid":"https://orcid.org/0000-0002-6356-7106","contributorId":290236,"corporation":false,"usgs":true,"family":"Akie","given":"Garrett","email":"","middleInitial":"Alexander","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894265,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":894266,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Penn, Colin 0000-0002-5195-2744","orcid":"https://orcid.org/0000-0002-5195-2744","contributorId":218031,"corporation":false,"usgs":true,"family":"Penn","given":"Colin","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894267,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sexstone, Graham A. 0000-0001-8913-0546","orcid":"https://orcid.org/0000-0001-8913-0546","contributorId":203850,"corporation":false,"usgs":true,"family":"Sexstone","given":"Graham A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894268,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Keith, Gabrielle L. 0000-0002-2304-8504 gkeith@usgs.gov","orcid":"https://orcid.org/0000-0002-2304-8504","contributorId":256699,"corporation":false,"usgs":true,"family":"Keith","given":"Gabrielle","email":"gkeith@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":894269,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250424,"text":"70250424 - 2023 - Two new species of small-eared shrews of the Genus Cryptotis Pomel, 1848, from the Colombian Andes (Mammalia: Eulipotyphla: Soricidae)","interactions":[],"lastModifiedDate":"2023-12-08T13:01:01.009246","indexId":"70250424","displayToPublicDate":"2023-11-15T06:57:54","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17104,"text":"Annals of the Carnegie Museum","active":true,"publicationSubtype":{"id":10}},"title":"Two new species of small-eared shrews of the Genus Cryptotis Pomel, 1848, from the Colombian Andes (Mammalia: Eulipotyphla: Soricidae)","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">Shrews (Mammalia: Eulipotyphla: Soricidae) reach the southern limit of their New World distribution in the Andes and eastern coastal highlands of northern South America. South of Honduras, the family is represented only by species of the genus<span>&nbsp;</span><i>Cryptotis</i><span>&nbsp;</span>Pomel, 1848. In South America, soricids are restricted to moist, high-elevation environments above 1000 m, and their distribution appears to be discontinuous. Study of specimens from a previous gap in the known geographical range of shrews in the Central Cordillera of southwestern Colombia reveals the presence of two unique populations that are distinguishable from each other and their congeners by a combination of morphological and morphometrical characters. They are described herein as,<span>&nbsp;</span><strong><i>Cryptotis huttereri,</i><span>&nbsp;</span>n. sp.</strong><span>&nbsp;</span>and<span>&nbsp;</span><strong><i>Cryptotis andinus,</i><span>&nbsp;</span>n. sp.</strong><span>&nbsp;</span>Both species are members of the<span>&nbsp;</span><i>Cryptotis thomasi</i><span>&nbsp;</span>group, one of five species groups of small-eared shrews defined partly on the basis of postcranial morphology and potential locomotor behavior. Although species in the<span>&nbsp;</span><i>C. thomasi</i><span>&nbsp;</span>group share similar postcranial architecture, as exemplified by the morphology of the forelimb, the group appears to be polyphyletic, implying convergence in locomotor behavior, possibly one uniquely adapted for Andean-type montane habitats. Recognition of<span>&nbsp;</span><i>C. huttereri</i><span>&nbsp;</span>and<span>&nbsp;</span><i>C. andinus</i><span>&nbsp;</span>brings the total number of known South American soricids to 19 species, with 11 species occurring in Colombia. Of those, seven species are endemic to that country.</p></div></div>","language":"English","publisher":"BioOne","doi":"10.2992/007.088.0303","usgsCitation":"Woodman, N., 2023, Two new species of small-eared shrews of the Genus Cryptotis Pomel, 1848, from the Colombian Andes (Mammalia: Eulipotyphla: Soricidae): Annals of the Carnegie Museum, v. 88, no. 3, p. 203-234, https://doi.org/10.2992/007.088.0303.","productDescription":"32 p.","startPage":"203","endPage":"234","ipdsId":"IP-156848","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":423324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Columbia","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.77051137686733,\n              -0.34366101536659244\n            ],\n            [\n              -68.8173863768678,\n              -0.34366101536659244\n            ],\n            [\n              -68.8173863768678,\n              8.11055906521743\n            ],\n            [\n              -80.77051137686733,\n              8.11055906521743\n            ],\n            [\n              -80.77051137686733,\n              -0.34366101536659244\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"88","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":889875,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70262408,"text":"70262408 - 2023 - Marshbird response to herbicide control of cattail in northwestern Minnesota","interactions":[],"lastModifiedDate":"2025-01-21T15:55:36.155755","indexId":"70262408","displayToPublicDate":"2023-11-15T00:00:00","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16872,"text":"The Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Marshbird response to herbicide control of cattail in northwestern Minnesota","docAbstract":"<p><span>Wetlands provide essential habitat for a wide variety of wildlife species. In the once wetland-rich Prairie Pothole Region and adjacent areas of central North America, many wetlands have been converted to agricultural production. Many remaining wetlands experience ecological change via the invasion and spread of non-native plant species, such as non-native narrowleaf (</span><i>Typha angustifolia</i><span>) and hybrid cattail (</span><i>Typha</i><span>&nbsp;x&nbsp;</span><i>glauca</i><span>), which spread aggressively and displace native vegetation, especially in large, impounded wetlands. Management of wetlands in these landscapes often includes broad-scale herbicide application intended to break up mats of cattail and restore areas to more wildlife-friendly conditions. Although restoration of wildlife habitat is a common goal of such management, marshbird response to invasive cattail control is poorly understood. To evaluate the effects of cattail management on wetland wildlife, we conducted standardized call-broadcast surveys for 5 species of marshbirds at 9 study sites that included survey locations associated with areas treated with herbicide and paired areas not treated with herbicide in wetland impoundments in northwestern Minnesota, USA, using a before-after, control-impact study design. We surveyed American bitterns (</span><i>Botaurus lentiginosus</i><span>), least bitterns (</span><i>Ixobrychus exilis</i><span>), pied-billed grebes (</span><i>Podilymbus podiceps</i><span>), soras (</span><i>Porzana carolina</i><span>), and Virginia rails (</span><i>Rallus limicola</i><span>) during the breeding season prior to herbicide application (late summer and early autumn of 2015) and during the 3 breeding seasons after herbicide application (2016–2018). We modeled species counts using a generalized linear mixed model with year-by-treatment interactions as fixed effects and site as a random effect. Before herbicide application, expected mean counts did not differ between treatment and control survey locations. Three years post-treatment, we detected significant increases in expected mean counts at treatment compared to control survey locations for soras (</span><i>t</i><sub>193</sub><span> = −3.373,&nbsp;</span><i>P</i><span> = 0.020) and Virginia rails (</span><i>t</i><sub>193</sub><span> = −3.167,&nbsp;</span><i>P</i><span> = 0.037), and point estimates for all species except least bittern were higher at treatment survey locations. Overall, our results suggest that these marshbird species responded positively to herbicide control of invasive cattail and that breeding marshbirds in these and similar wetland systems may experience positive population response over a period of at least 3 years following treatment.</span></p>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.22484","usgsCitation":"Hill, N., Johnson, D., Cooper, T., Archer, A., and Andersen, D.E., 2023, Marshbird response to herbicide control of cattail in northwestern Minnesota: The Journal of Wildlife Management, v. 87, no. 8, e22484, 14 p., https://doi.org/10.1002/jwmg.22484.","productDescription":"e22484, 14 p.","ipdsId":"IP-131062","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481066,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.22484","text":"Publisher Index Page"},{"id":480825,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","otherGeospatial":"Prairie Pothole Region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.2253684104991,\n              49.07382900749482\n            ],\n            [\n              -97.2253684104991,\n              47.098948093042196\n            ],\n            [\n              -95.09634908157517,\n              47.098948093042196\n            ],\n            [\n              -95.09634908157517,\n              49.07382900749482\n            ],\n            [\n              -97.2253684104991,\n              49.07382900749482\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"87","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hill, Nina M.","contributorId":349191,"corporation":false,"usgs":false,"family":"Hill","given":"Nina M.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":924132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Douglas H. 0000-0002-7778-6641","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":220516,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":924133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cooper, Thomas R.","contributorId":349193,"corporation":false,"usgs":false,"family":"Cooper","given":"Thomas R.","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":924134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Archer, Althea A.","contributorId":349197,"corporation":false,"usgs":false,"family":"Archer","given":"Althea A.","affiliations":[{"id":83459,"text":"St. Cloud University","active":true,"usgs":false}],"preferred":false,"id":924135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andersen, David E. 0000-0001-9535-3404 dea@usgs.gov","orcid":"https://orcid.org/0000-0001-9535-3404","contributorId":199408,"corporation":false,"usgs":true,"family":"Andersen","given":"David","email":"dea@usgs.gov","middleInitial":"E.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":924136,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70249869,"text":"sir20235116 - 2023 - Assessment of post-wildfire geomorphic change in the North Fork Eagle Creek stream channel, New Mexico, 2017–21","interactions":[],"lastModifiedDate":"2026-03-13T15:35:00.059451","indexId":"sir20235116","displayToPublicDate":"2023-11-14T13:43:28","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5116","displayTitle":"Assessment of Post-Wildfire Geomorphic Change in the North Fork Eagle Creek Stream Channel, New Mexico, 2017–21","title":"Assessment of post-wildfire geomorphic change in the North Fork Eagle Creek stream channel, New Mexico, 2017–21","docAbstract":"<p>The 2012 Little Bear Fire caused substantial vegetation loss in the Eagle Creek Basin of south-central New Mexico. This loss was expected to alter the localized hydrologic response to precipitation by creating conditions that amplify surface runoff, which might alter the geomorphology of North Fork Eagle Creek, a major tributary to Eagle Creek. To monitor short-term geomorphic change, annual geomorphic surveys of North Fork Eagle Creek were conducted from 2017 to 2021. The surveys measured 14 cross sections, stream gradients, woody debris accumulations, and pools found within the study reach. During the 2017–21 study period, the study reach experienced multiple high-flow events that resulted from both monsoonal rainfall and snowmelt runoff. Comparisons of the cross-section and channel profile data for the repeat geomorphic surveys indicate localized erosion and deposition occurred as a result of the high-flow events but overall study reach geomorphology shower little change through the study period. Additionally, the number of woody debris accumulations and pools increased during the study period. Evidence from the 5-year geomorphic survey indicates that the North Fork Eagle Creek’s geomorphology did not change substantially during the study period. Wildfire severity and frequency within mountainous regions of the Southwest are projected to increase and their effect on fluvial systems remains uncertain; however, continued geomorphic studies can provide informative insight on watershed post-wildfire resiliency and recovery by establishing baselines that can be used in the event of a future severe wildfire within the Eagle Creek Basin.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235116","issn":"2328-0328","collaboration":"Prepared in cooperation with the Village of Ruidoso, New Mexico","usgsCitation":"Nichols, J.R., Chavarria, S.B., and Graziano, A.P., 2023, Assessment of post-wildfire geomorphic change in the North Fork Eagle Creek stream channel, New Mexico, 2017–21: U.S. Geological Survey Scientific Investigations Report 2023–5116, 48 p., https://doi.org/10.3133/sir20235116.","productDescription":"Report: vi, 48 p.; Data Release","numberOfPages":"58","onlineOnly":"Y","ipdsId":"IP-145308","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":501156,"rank":10,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115637.htm","linkFileType":{"id":5,"text":"html"}},{"id":422345,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94ZQHKU","text":"USGS data release","linkHelpText":"Data supporting the 2018 geomorphic survey of North Fork Eagle Creek, New Mexico"},{"id":422344,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PR7TX3","text":"USGS data release","linkHelpText":"Data supporting the 2017 geomorphic survey of North Fork Eagle Creek, New Mexico"},{"id":422346,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97ALYNZ","text":"USGS data release","linkHelpText":"Data supporting the 2019 geomorphic survey of North Fork Eagle Creek, New Mexico"},{"id":422347,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9BGPRN9","text":"USGS data release","linkHelpText":"Data supporting the 2020 and 2021 geomorphic surveys of North Fork Eagle Creek, New Mexico"},{"id":422340,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5116/sir20235116.pdf","size":"7.22 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5116 pdf"},{"id":422341,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235116/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5116 HTML"},{"id":422338,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5116/coverthb.jpg"},{"id":422339,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5116/images"},{"id":422342,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5116/sir20235116.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2023-5116 XML"}],"country":"United States","state":"New Mexico","otherGeospatial":"North Fork Eagle Creek Stream Channel","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -105.5,\n              33.4\n            ],\n            [\n              -105.5,\n              33.00\n            ],\n            [\n              -105.1,\n              33.0\n            ],\n            [\n              -105.1,\n              33.4\n            ],\n            [\n              -105.5,\n              33.4\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&nbsp;<br><span class=\"HQEo7\" role=\"link\" data-markjs=\"true\" data-mce-tabindex=\"0\">6700 Edith Blvd. NE <br>Albuquerque, NM 87113</span>&nbsp;</p><p><a data-mce-href=\"../\" href=\"../\"><span class=\"ContentPasted3\">Contact Pubs Warehouse</span></a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods </li><li>Results </li><li>Geomorphic Survey of North Fork Eagle Creek From 2017 to 2021 </li><li>Discussion </li><li>Summary </li><li>Acknowledgments </li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2023-11-14","noUsgsAuthors":false,"publicationDate":"2023-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Nichols, Justin R. 0000-0003-0846-6430 jrnichols@usgs.gov","orcid":"https://orcid.org/0000-0003-0846-6430","contributorId":331348,"corporation":false,"usgs":true,"family":"Nichols","given":"Justin","email":"jrnichols@usgs.gov","middleInitial":"R.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":887466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chavarria, Shaleene B. 0000-0001-8792-1010","orcid":"https://orcid.org/0000-0001-8792-1010","contributorId":223376,"corporation":false,"usgs":true,"family":"Chavarria","given":"Shaleene","email":"","middleInitial":"B.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":887467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graziano, Alexander P. 0000-0003-1978-0986","orcid":"https://orcid.org/0000-0003-1978-0986","contributorId":211607,"corporation":false,"usgs":true,"family":"Graziano","given":"Alexander","email":"","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":887468,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70250126,"text":"70250126 - 2023 - Biological responses of Pacific herring embryos to crude oil are quantifiable at exposure levels below conventional limits of quantitation for PAHs in water and tissues","interactions":[],"lastModifiedDate":"2023-12-21T14:48:24.642867","indexId":"70250126","displayToPublicDate":"2023-11-14T10:07:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Biological responses of Pacific herring embryos to crude oil are quantifiable at exposure levels below conventional limits of quantitation for PAHs in water and tissues","docAbstract":"<p><span>Pacific herring (</span><i>Clupea pallasii</i><span>), a cornerstone of marine food webs, generally spawn on marine macroalgae in shallow nearshore areas that are disproportionately at risk from oil spills. Herring embryos are also highly susceptible to toxicity from chemicals leaching from oil stranded in intertidal and subtidal zones. The water-soluble components of crude oil trigger an adverse outcome pathway that involves disruption of the physiological functions of cardiomyocytes in the embryonic herring heart. In previous studies, impaired ionoregulation (calcium and potassium cycling) in response to specific polycyclic aromatic hydrocarbons (PAHs) corresponds to lethal embryolarval heart failure or subtle chamber malformations at the high and low ends of the PAH exposure range, respectively. Sublethal cardiotoxicity, which involves an abnormal outgrowth (ballooning) of the cardiac ventricular chamber soon after hatching, subsequently compromises juvenile heart structure and function, leading to pathological hypertrophy of the ventricle and reduced individual fitness, measured as cardiorespiratory performance. Previous studies have not established a threshold for these sublethal and delayed-in-time effects, even with total (∑)PAH exposures as low as 29 ng/g of wet weight (tissue dose). Here, we extend these earlier findings showing that (1)&nbsp;</span><i>cyp1a</i><span>&nbsp;gene expression provides an oil exposure metric that is more sensitive than typical quantitation of PAHs via GC–MS and (2) heart morphometrics in herring embryos provide a similarly sensitive measure of toxic response. Early life stage injury to herring (impaired heart development) thus occurs below the quantitation limits for PAHs in both water and embryonic tissues as a conventional basis for assessing oil-induced losses to coastal marine ecosystems.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.3c04122","usgsCitation":"Incardona, J.P., Linbo, T.L., Cameron, J.R., French, B.L., Bolton, J.L., Gregg, J.L., Donald, C.E., Hershberger, P., and Scholz, N.L., 2023, Biological responses of Pacific herring embryos to crude oil are quantifiable at exposure levels below conventional limits of quantitation for PAHs in water and tissues: Environmental Science and Technology, v. 57, no. 48, p. 19214-19222, https://doi.org/10.1021/acs.est.3c04122.","productDescription":"9 p.","startPage":"19214","endPage":"19222","ipdsId":"IP-154190","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":441596,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://hdl.handle.net/11250/3111017","text":"Publisher Index Page"},{"id":422839,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"48","noUsgsAuthors":false,"publicationDate":"2023-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Incardona, John P.","contributorId":331691,"corporation":false,"usgs":false,"family":"Incardona","given":"John","email":"","middleInitial":"P.","affiliations":[{"id":79266,"text":"Northwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, WA USA.","active":true,"usgs":false}],"preferred":false,"id":888485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Linbo, Tiffany L.","contributorId":192166,"corporation":false,"usgs":false,"family":"Linbo","given":"Tiffany","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":888486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cameron, James R.","contributorId":331692,"corporation":false,"usgs":false,"family":"Cameron","given":"James","email":"","middleInitial":"R.","affiliations":[{"id":79267,"text":"Ocean Associates, Inc., under contract to Northwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, WA USA.","active":true,"usgs":false}],"preferred":false,"id":888487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"French, Barbara L.","contributorId":331693,"corporation":false,"usgs":false,"family":"French","given":"Barbara","email":"","middleInitial":"L.","affiliations":[{"id":79266,"text":"Northwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, WA USA.","active":true,"usgs":false}],"preferred":false,"id":888488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bolton, Jennie L.","contributorId":331694,"corporation":false,"usgs":false,"family":"Bolton","given":"Jennie","email":"","middleInitial":"L.","affiliations":[{"id":79266,"text":"Northwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, WA USA.","active":true,"usgs":false}],"preferred":false,"id":888489,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gregg, Jacob L. 0000-0001-5328-5482 jgregg@usgs.gov","orcid":"https://orcid.org/0000-0001-5328-5482","contributorId":203912,"corporation":false,"usgs":true,"family":"Gregg","given":"Jacob","email":"jgregg@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":888490,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Donald, Carey E.","contributorId":331695,"corporation":false,"usgs":false,"family":"Donald","given":"Carey","email":"","middleInitial":"E.","affiliations":[{"id":79268,"text":"Institute of Marine Research, Bergen, Norway","active":true,"usgs":false}],"preferred":false,"id":888491,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hershberger, Paul 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":203322,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":888492,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Scholz, Nathaniel L.","contributorId":331696,"corporation":false,"usgs":false,"family":"Scholz","given":"Nathaniel","email":"","middleInitial":"L.","affiliations":[{"id":79266,"text":"Northwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, WA USA.","active":true,"usgs":false}],"preferred":false,"id":888493,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70250954,"text":"70250954 - 2023 - A global ecological signal of extinction risk in marine ray-finned fishes (class Actinopterygii)","interactions":[],"lastModifiedDate":"2024-01-13T14:54:49.450263","indexId":"70250954","displayToPublicDate":"2023-11-14T08:52:35","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17122,"text":"Cambridge Prisms: Extinction","active":true,"publicationSubtype":{"id":10}},"title":"A global ecological signal of extinction risk in marine ray-finned fishes (class Actinopterygii)","docAbstract":"<div class=\"abstract-content\"><div class=\"abstract\" data-abstract-type=\"normal\"><p>Many marine fish species are experiencing population declines, but their extinction risk profiles are largely understudied in comparison to their terrestrial vertebrate counterparts. Selective extinction of marine fish species may result in rapid alteration of the structure and function of ocean ecosystems. In this study, we compiled an ecological trait dataset for 8,185 species of marine ray-finned fishes (class Actinopterygii) from FishBase and used phylogenetic generalized linear models to examine which ecological traits are associated with increased extinction risk, based on the International Union for the Conservation of Nature Red List. We also assessed which threat types may be driving these species toward greater extinction risk and whether threatened species face a greater average number of threat types than non-threatened species. We found that larger body size and/or fishes with life histories involving movement between marine, brackish, and freshwater environments are associated with elevated extinction risk. Commercial harvesting threatens the greatest number of species, followed by pollution, development, and then climate change. We also found that threatened species, on average, face a significantly greater number of threat types than non-threatened species. These results can be used by resource managers to help address the heightened extinction risk patterns we found.</p></div></div>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/ext.2023.23.pr1","usgsCitation":"Bak, T.M., Camp, R.J., Heim, N.A., McCauley, D., Payne, J.L., and Knope, M.L., 2023, A global ecological signal of extinction risk in marine ray-finned fishes (class Actinopterygii): Cambridge Prisms: Extinction, v. 1, e25, 12 p., https://doi.org/10.1017/ext.2023.23.pr1.","productDescription":"e25, 12 p.","ipdsId":"IP-145291","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":441599,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/ext.2023.23.pr1","text":"Publisher Index Page"},{"id":424416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bak, Trevor M.","contributorId":317824,"corporation":false,"usgs":false,"family":"Bak","given":"Trevor","email":"","middleInitial":"M.","affiliations":[{"id":13341,"text":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i at Hilo","active":true,"usgs":false}],"preferred":false,"id":892400,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Camp, Richard J. 0000-0001-7008-923X rick_camp@usgs.gov","orcid":"https://orcid.org/0000-0001-7008-923X","contributorId":189964,"corporation":false,"usgs":true,"family":"Camp","given":"Richard","email":"rick_camp@usgs.gov","middleInitial":"J.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":892401,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heim, Noel A. 0000-0002-4528-345X","orcid":"https://orcid.org/0000-0002-4528-345X","contributorId":333307,"corporation":false,"usgs":false,"family":"Heim","given":"Noel","email":"","middleInitial":"A.","affiliations":[{"id":79842,"text":"Department of Earth & Ocean Sciences, Tufts University","active":true,"usgs":false}],"preferred":false,"id":892402,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McCauley, Douglas J.","contributorId":287056,"corporation":false,"usgs":false,"family":"McCauley","given":"Douglas J.","affiliations":[{"id":16936,"text":"University of California Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":892403,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Payne, Jonathan L. 0000-0002-9601-3310","orcid":"https://orcid.org/0000-0002-9601-3310","contributorId":333308,"corporation":false,"usgs":false,"family":"Payne","given":"Jonathan","email":"","middleInitial":"L.","affiliations":[{"id":64472,"text":"Department of Geological Sciences, Stanford University","active":true,"usgs":false}],"preferred":false,"id":892404,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Knope, Matthew L 0000-0002-1372-6308","orcid":"https://orcid.org/0000-0002-1372-6308","contributorId":333309,"corporation":false,"usgs":false,"family":"Knope","given":"Matthew","email":"","middleInitial":"L","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":892405,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250252,"text":"70250252 - 2023 - Assessing the ecological risk of heavy metal sediment contamination from Port Everglades Florida USA","interactions":[],"lastModifiedDate":"2023-11-30T13:03:24.940594","indexId":"70250252","displayToPublicDate":"2023-11-14T06:57:50","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the ecological risk of heavy metal sediment contamination from Port Everglades Florida USA","docAbstract":"<div class=\"abstract\"><p>Port sediments are often contaminated with metals and organic compounds from anthropogenic sources. Remobilization of sediment during a planned expansion of Port Everglades near Fort Lauderdale, Florida (USA) has the potential to harm adjacent benthic communities, including coral reefs. Twelve sediment cores were collected from four Port Everglades sites and a control site; surface sediment was collected at two nearby coral reef sites. Sediment cores, sampled every 5 cm, were analyzed for 14 heavy metals using inductively coupled plasma-mass spectrometry. Results for all three locations yielded concentration ranges (µg/g): As (0.607–223), Cd (n/d–0.916), Cr (0.155–56.8), Co (0.0238–7.40), Cu (0.004–215), Pb (0.0169–73.8), Mn (1.61–204), Hg (n/d–0.736), Mn (1.61–204), Ni (0.232–29.3), Se (n/d–4.79), Sn (n/d–140), V (0.160–176), and Zn (0.112–603), where n/d = non-detected. The geo-accumulation index shows moderate-to-strong contamination of As and Mo in port sediments, and potential ecological risk indicates moderate-to-significantly high overall metal contamination. All four port sites have sediment core subsamples with As concentrations above both threshold effect level (TEL, 7.24 µg/g) and probable effect level (PEL, 41.6 µg/g), while Mo geometric mean concentrations exceed the background continental crust level (1.5 µg/g) threshold. Control site sediments exceed TEL for As, while the reef sites has low to no overall heavy metal contamination. Results of this study indicate there is a moderate to high overall ecological risk from remobilized sediment due to metal contamination. Due to an imminent dredging at Port Everglades, this could have the potential to harm the threatened adjacent coral communities and surrounding protected habitats.</p></div>","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.16152","usgsCitation":"Giarikos, D.G., White, L., Daniels, A., Santos, R.G., Baldauf, P.E., and Hirons, A.C., 2023, Assessing the ecological risk of heavy metal sediment contamination from Port Everglades Florida USA: PeerJ, v. 11, 35 p., https://doi.org/10.7717/peerj.16152.","productDescription":"35 p.","ipdsId":"IP-157548","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":441601,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.16152","text":"Publisher Index Page"},{"id":423086,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Port Everglades","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.15552129212654,\n              26.104742380968872\n            ],\n            [\n              -80.15552129212654,\n              25.999255489563083\n            ],\n            [\n              -80.08685639930893,\n              25.999255489563083\n            ],\n            [\n              -80.08685639930893,\n              26.104742380968872\n            ],\n            [\n              -80.15552129212654,\n              26.104742380968872\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Giarikos, Dimitrios G.","contributorId":331918,"corporation":false,"usgs":false,"family":"Giarikos","given":"Dimitrios","email":"","middleInitial":"G.","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":889105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Laura","contributorId":331919,"corporation":false,"usgs":false,"family":"White","given":"Laura","email":"","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":889106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daniels, Andre 0000-0003-4172-2344","orcid":"https://orcid.org/0000-0003-4172-2344","contributorId":204035,"corporation":false,"usgs":true,"family":"Daniels","given":"Andre","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":889107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Santos, Radleigh G.","contributorId":331920,"corporation":false,"usgs":false,"family":"Santos","given":"Radleigh","email":"","middleInitial":"G.","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":889108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Baldauf, Paul E.","contributorId":331923,"corporation":false,"usgs":false,"family":"Baldauf","given":"Paul","email":"","middleInitial":"E.","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":889109,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hirons, Amy C.","contributorId":331925,"corporation":false,"usgs":false,"family":"Hirons","given":"Amy","email":"","middleInitial":"C.","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":889110,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250121,"text":"70250121 - 2023 - Data mining reveals tissue-specific expression and host lineage-associated forms of Apis mellifera filamentous virus","interactions":[],"lastModifiedDate":"2023-11-21T12:54:38.707121","indexId":"70250121","displayToPublicDate":"2023-11-14T06:53:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3840,"text":"PeerJ","active":true,"publicationSubtype":{"id":10}},"title":"Data mining reveals tissue-specific expression and host lineage-associated forms of Apis mellifera filamentous virus","docAbstract":"<p>Apis mellifera filamentous virus (AmFV) is a large double-stranded DNA virus of uncertain phylogenetic position that infects honey bees (<i>Apis mellifera</i>). Little is known about AmFV evolution or molecular aspects of infection. Accurate annotation of open-reading frames (ORFs) is challenged by weak homology to other known viruses. This study was undertaken to evaluate ORFs (including coding-frame conservation, codon bias, and purifying selection), quantify genetic variation within AmFV, identify host characteristics that covary with infection rate, and examine viral expression patterns in different tissues.</p>","language":"English","publisher":"PeerJ","doi":"10.7717/peerj.16455","usgsCitation":"Cornman, R.S., 2023, Data mining reveals tissue-specific expression and host lineage-associated forms of Apis mellifera filamentous virus: PeerJ, https://doi.org/10.7717/peerj.16455.","ipdsId":"IP-154830","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":441603,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.7717/peerj.16455","text":"Publisher Index Page"},{"id":435122,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XT6GBE","text":"USGS data release","linkHelpText":"Occurrences of Apis mellifera filamentous virus (AmFV) sequences in public accessions of Apis mellifera and Varroa destructor"},{"id":422779,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-11-14","publicationStatus":"PW","contributors":{"authors":[{"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":888468,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70250074,"text":"70250074 - 2023 - Living on the edge: Predicting songbird response to management and environmental changes across an ecotone","interactions":[],"lastModifiedDate":"2023-11-16T12:47:34.018042","indexId":"70250074","displayToPublicDate":"2023-11-14T06:42:03","publicationYear":"2023","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":"Living on the edge: Predicting songbird response to management and environmental changes across an ecotone","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Effective wildlife management requires robust information regarding population status, habitat requirements, and likely responses to changing resource conditions. Single-species management may inadequately conserve communities and result in undesired effects to non-target species. Thus, management can benefit from understanding habitat relationships for multiple species. Pinyon pine and juniper (<i>Pinus</i><span>&nbsp;</span>spp. and<span>&nbsp;</span><i>Juniperus</i><span>&nbsp;</span>spp.) are expanding into sagebrush-dominated (<i>Artemisia</i><span>&nbsp;</span>spp.) ecosystems within North America and mechanical removal of these trees is frequently conducted to restore sagebrush ecosystems and recover Greater Sage-grouse (<i>Centrocercus urophasianus</i>). However, pinyon-juniper removal effects on non-target species are poorly understood, and changing pinyon-juniper woodland dynamics, climate, and anthropogenic development may obscure conservation priorities. To better predict responses to changing resource conditions, evaluate non-target effects of pinyon-juniper removal, prioritize species for conservation, and inform species recovery within pinyon-juniper and sagebrush ecosystems, we modeled population trends and density-habitat relationships for four sagebrush-associated, four pinyon-juniper-associated, and three generalist songbird species with respect to these ecosystems. We fit hierarchical population models to point count data collected throughout the western United States from 2008 to 2020. We found regional population changes for 10 of 11 species investigated; 6 of which increased in the highest elevation region of our study. Our models indicate pinyon-juniper removal will benefit Brewer's Sparrow (<i>Spizella breweri</i>), Green-tailed Towhee (<i>Pipilo chlorurus</i>), and Sage Thrasher (<i>Oreoscoptes montanus</i>) densities. Conversely, we predict largest negative effects of pinyon-juniper removal for species occupying early successional pinyon-juniper woodlands: Bewick's Wren (<i>Thryomanes bewickii</i>), Black-throated Gray Warblers (<i>Setophaga nigrescens</i>), Gray Flycatcher (<i>Empidonax wrightii</i>), and Juniper Titmouse (<i>Baeolophus ridgwayi</i>). Our results highlight the importance of considering effects to non-target species before implementing large-scale habitat manipulations. Our modeling framework can help prioritize species and regions for conservation action, infer effects of management interventions and a changing environment on wildlife, and help land managers balance habitat requirements across ecosystems.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.10648","usgsCitation":"Van Lanen, N.J., Monroe, A., and Aldridge, C.L., 2023, Living on the edge: Predicting songbird response to management and environmental changes across an ecotone: Ecology and Evolution, v. 13, no. 11, e10648, 46 p., https://doi.org/10.1002/ece3.10648.","productDescription":"e10648, 46 p.","ipdsId":"IP-147310","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":441604,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.10648","text":"Publisher Index Page"},{"id":435123,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KFCBLH","text":"USGS data release","linkHelpText":"Data and analytical code assessing eleven songbird species' responses to environmental change during summertime (2008 - 2020) in the InterMountain West, USA"},{"id":422653,"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              -119.44912777762832,\n              49.03692810275197\n            ],\n            [\n              -119.44912777762832,\n              35.60255309689437\n            ],\n            [\n              -101.60733090262836,\n              35.60255309689437\n            ],\n            [\n              -101.60733090262836,\n              49.03692810275197\n            ],\n            [\n              -119.44912777762832,\n              49.03692810275197\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Van Lanen, Nicholas J. 0000-0003-0871-0261","orcid":"https://orcid.org/0000-0003-0871-0261","contributorId":302927,"corporation":false,"usgs":true,"family":"Van Lanen","given":"Nicholas","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":888226,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monroe, Adrian P. 0000-0003-0934-8225 amonroe@usgs.gov","orcid":"https://orcid.org/0000-0003-0934-8225","contributorId":152209,"corporation":false,"usgs":true,"family":"Monroe","given":"Adrian P.","email":"amonroe@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":888227,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":888228,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70260940,"text":"70260940 - 2023 - Reimagining standardization and geospatial interoperability in today’s GeoAI culture","interactions":[],"lastModifiedDate":"2024-11-18T17:24:46.004746","indexId":"70260940","displayToPublicDate":"2023-11-13T11:18:13","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Reimagining standardization and geospatial interoperability in today’s GeoAI culture","docAbstract":"Integrating Geospatial Artificial Intelligence (GeoAI) into our technological landscape has revolutionized our capacity to understand and engage with the world. However, the burgeoning adoption of GeoAI applications has underscored the imperative of data, format, and conveyance standardization and enhancing geospatial interoperability. This vision paper delves into the intricacies of the evolving GeoAI environment, emphasizing the indispensable role of standardized practices and elevated interoperability. By synthesizing insights from geography, computer science, and data ethics, this contribution envisions a future characterized by seamless synergy between AI systems and geospatial data, driving impactful decision-making and transformative innovation.","largerWorkTitle":"Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI '23)","conferenceTitle":"6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI '23)","conferenceDate":"November 13, 2023","conferenceLocation":"Hamburg Germany","language":"English","publisher":"Association for Computing Machinery","doi":"10.1145/3615886.3627744","usgsCitation":"Arundel, S., Li, W., and Campbell, B.B., 2023, Reimagining standardization and geospatial interoperability in today’s GeoAI culture, <i>in</i> Proceedings of the 6th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI '23), Hamburg Germany, November 13, 2023, p. 83-84, https://doi.org/10.1145/3615886.3627744.","productDescription":"2 p.","startPage":"83","endPage":"84","ipdsId":"IP-157978","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":467075,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1145/3615886.3627744","text":"Publisher Index Page"},{"id":464236,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2023-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true},{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":918643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Li, Wenwen 0000-0003-2237-9499","orcid":"https://orcid.org/0000-0003-2237-9499","contributorId":219356,"corporation":false,"usgs":false,"family":"Li","given":"Wenwen","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":918644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campbell, Bryan B 0000-0002-5425-6736","orcid":"https://orcid.org/0000-0002-5425-6736","contributorId":330207,"corporation":false,"usgs":true,"family":"Campbell","given":"Bryan","email":"","middleInitial":"B","affiliations":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":918645,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70249976,"text":"sir20235088 - 2023 - Developing fluvial fish species distribution models across the conterminous United States—A framework for management and conservation","interactions":[],"lastModifiedDate":"2023-12-14T20:54:33.518942","indexId":"sir20235088","displayToPublicDate":"2023-11-13T11:15:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5088","displayTitle":"Developing Fluvial Fish Species Distribution Models Across the Conterminous United States—A Scientific Framework to Support Management and Conservation","title":"Developing fluvial fish species distribution models across the conterminous United States—A framework for management and conservation","docAbstract":"<p>This report explains the steps and specific methods used to predict fluvial fish occurrences in their native ranges for the conterminous United States. In this study, boosted regression tree models predict distributions of 271 ecologically important fluvial fish species using relations between fish presence/absence and 22 natural and anthropogenic landscape variables. Models developed for the freshwater portions of the ranges for species represented 28 families. <i>Cyprinidae</i> was the family with the most species (87 of 271) modeled for this study, followed by <i>Percidae</i> (34) and <i>Ictaluridae</i> (17). Model predictive performance was evaluated using four metrics: area under the receiver operating characteristic curve, sensitivity, specificity, and True Skill Statistic, which are all from tenfold cross-validation results. The relative importance of the predictor variables in the boosted regression tree models was calculated and ranked for each species. The three strongest natural predictors of fish distributions were network catchment area, the mean annual air temperature of the local catchment, and the maximum elevation of the local catchment, while the three strongest anthropogenic predictors were downstream main stem dam density, distance to downstream main stem dam, and the percentage of pasture/hay land use area within network catchment boundaries. Study results showed 61 fish species were sensitive to climate variables, and 40 fish species were sensitive to anthropogenic stressors. The models developed in this study can be used to derive critical information regarding habitat protection priorities, anthropogenic threats, and potential effects of climate change on habitat suitability, aiding in efforts to conserve fluvial fishes now and into the future.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/sir20235088","collaboration":"Prepared in cooperation with Department of Fisheries and Wildlife, Michigan State University","programNote":"Science Analytics and Synthesis Program","usgsCitation":"Yu, H., Cooper, A.R., Ross, J., McKerrow, A., Wieferich, D.J., and Infante, D.M., 2023, Developing fluvial fish species distribution models across the conterminous United States—A framework for management and conservation: U.S. Geological Survey Scientific Investigations Report 2023–5088, 41 p., https://doi.org/10.3133/sir20235088.","productDescription":"Report: vii, 41 p.; Data 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Box 25046, Mail Stop 302<br>Denver, CO 80225</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Materials and Methods</li><li>Results</li><li>Discussion</li><li>Summary</li><li>Data Access</li><li>References Cited</li><li>Appendix 1. Fluvial Fish for Which Insufficient Occurrence Data Were Available to Support Species Distribution Modeling</li></ul>","publishedDate":"2023-11-13","noUsgsAuthors":false,"publicationDate":"2023-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Yu, Hao 0000-0003-0775-9346","orcid":"https://orcid.org/0000-0003-0775-9346","contributorId":331500,"corporation":false,"usgs":false,"family":"Yu","given":"Hao","email":"","affiliations":[{"id":79221,"text":"Department of Fisheries and Wildlife, Michigan State University, East Lansing, MI","active":true,"usgs":false}],"preferred":false,"id":887882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cooper, Arthur R. 0000-0002-0557-8560","orcid":"https://orcid.org/0000-0002-0557-8560","contributorId":220307,"corporation":false,"usgs":false,"family":"Cooper","given":"Arthur","email":"","middleInitial":"R.","affiliations":[{"id":7266,"text":"Michigan State University, Department of Fisheries and Wildlife","active":true,"usgs":false}],"preferred":false,"id":887883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ross, Jared 0000-0002-0582-3589","orcid":"https://orcid.org/0000-0002-0582-3589","contributorId":289993,"corporation":false,"usgs":false,"family":"Ross","given":"Jared","email":"","affiliations":[{"id":6590,"text":"Department of Fisheries and Wildlife, Michigan State University","active":true,"usgs":false}],"preferred":false,"id":887884,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McKerrow, Alexa 0000-0002-8312-2905 amckerrow@usgs.gov","orcid":"https://orcid.org/0000-0002-8312-2905","contributorId":127753,"corporation":false,"usgs":true,"family":"McKerrow","given":"Alexa","email":"amckerrow@usgs.gov","affiliations":[{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":887885,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wieferich, Daniel J. 0000-0003-1554-7992 dwieferich@usgs.gov","orcid":"https://orcid.org/0000-0003-1554-7992","contributorId":176205,"corporation":false,"usgs":true,"family":"Wieferich","given":"Daniel","email":"dwieferich@usgs.gov","middleInitial":"J.","affiliations":[{"id":5069,"text":"Office of the AD Core Science Systems","active":true,"usgs":true},{"id":208,"text":"Core Science Analytics and Synthesis","active":true,"usgs":true}],"preferred":true,"id":887886,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Infante, Dana M. 0000-0003-1385-1587","orcid":"https://orcid.org/0000-0003-1385-1587","contributorId":150821,"corporation":false,"usgs":false,"family":"Infante","given":"Dana","email":"","middleInitial":"M.","affiliations":[{"id":18112,"text":"Dept. of Fisheries and Wildlife,","active":true,"usgs":false}],"preferred":false,"id":887887,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70252450,"text":"70252450 - 2023 - Recharge estimation approach in a data-scarce semi-arid region, Northern Ethiopian Rift Valley","interactions":[],"lastModifiedDate":"2024-03-25T14:33:08.103636","indexId":"70252450","displayToPublicDate":"2023-11-13T09:21:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3504,"text":"Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"Recharge estimation approach in a data-scarce semi-arid region, Northern Ethiopian Rift Valley","docAbstract":"<p><span>Sustainable management of groundwater resources highly relies on the accurate estimation of recharge. However, accurate recharge estimation is a challenge, especially in data-scarce regions, as the existing models are data-intensive and require extensive parameterization. This study developed a process-based hydrologic model combining local and remotely sensed data for characterizing recharge in data-limited regions using a Basin Characterization Model (BCM). This study was conducted in Raya and Kobo Valleys, a semi-arid region in Northern Ethiopia, considering both the structural basin and the surrounding mountainous recharge areas. Climatic Research Unit monthly datasets for 1991 to 2020 and WaPOR actual evapotranspiration data were used. The model results show that the average annual recharge and surface runoff from 1991 to 2020 were 73 mm and 167 mm, respectively, with a substantial portion contributed along the front of the mountainous parts of the study area. The mountainous recharge occurred along and above the valleys as mountain-block and mountain-front recharge. The long-term estimates of the monthly recharge time series indicated that the water balance components follow the temporal pattern of rainfall amount. However, the relation of recharge to precipitation was nonlinearly related, showing the episodic nature of recharge in semi-arid regions. This study informed the spatial and temporal distribution of recharge and runoff hydrologic variables at fine spatial scales for each grid cell, allowing results to be summarized for various planning units, including farmlands. One third of the precipitation in the drainage basin becomes recharge and runoff, while the remaining is lost through evapotranspiration. The current study’s findings are vital for developing plans for sustainable management of water resources in semi-arid regions. Also, monthly groundwater withdrawals for agriculture should be regulated in relation to spatial and temporal recharge patterns. We conclude that combining scarce local data with global datasets and tools is a useful approach for estimating recharge to manage groundwater resources in data-scarce regions.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/su152215887","usgsCitation":"Mekonen, S.S., Boyce, S.E., Mohammed, A.K., Flint, L.E., Flint, A., and Disse, M., 2023, Recharge estimation approach in a data-scarce semi-arid region, Northern Ethiopian Rift Valley: Sustainability, v. 15, no. 22, 15887, 25 p., https://doi.org/10.3390/su152215887.","productDescription":"15887, 25 p.","ipdsId":"IP-146940","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":441606,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/su152215887","text":"Publisher Index Page"},{"id":426968,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ethiopia","otherGeospatial":"Kobo Valley, Riya Valley","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              39.36,\n              12.88\n            ],\n            [\n              39.36,\n              11.92\n            ],\n            [\n              39.84,\n              11.92\n            ],\n            [\n              39.84,\n              12.88\n            ],\n            [\n              39.36,\n              12.88\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"15","issue":"22","noUsgsAuthors":false,"publicationDate":"2023-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Mekonen, Sisay Simachew","contributorId":333048,"corporation":false,"usgs":false,"family":"Mekonen","given":"Sisay","email":"","middleInitial":"Simachew","affiliations":[{"id":79717,"text":"Hydrology and River Basin Management Department, Technical University of Munich","active":true,"usgs":false}],"preferred":false,"id":897192,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyce, Scott E. 0000-0003-0626-9492 seboyce@usgs.gov","orcid":"https://orcid.org/0000-0003-0626-9492","contributorId":4766,"corporation":false,"usgs":true,"family":"Boyce","given":"Scott","email":"seboyce@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":897193,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mohammed, Abdella K.","contributorId":333049,"corporation":false,"usgs":false,"family":"Mohammed","given":"Abdella","email":"","middleInitial":"K.","affiliations":[{"id":79718,"text":"Hydraulic and Water Resources Engineering, Arba Minch University","active":true,"usgs":false}],"preferred":false,"id":897194,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Flint, Lorraine E. 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":306090,"corporation":false,"usgs":false,"family":"Flint","given":"Lorraine","email":"","middleInitial":"E.","affiliations":[{"id":66369,"text":"Earth Knowledge, Inc.","active":true,"usgs":false}],"preferred":false,"id":897195,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flint, Alan L 0000-0002-5118-751X","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":239656,"corporation":false,"usgs":false,"family":"Flint","given":"Alan L","affiliations":[{"id":7065,"text":"USGS emeritus","active":true,"usgs":false}],"preferred":false,"id":897196,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Disse, Markus","contributorId":333050,"corporation":false,"usgs":false,"family":"Disse","given":"Markus","email":"","affiliations":[{"id":79717,"text":"Hydrology and River Basin Management Department, Technical University of Munich","active":true,"usgs":false}],"preferred":false,"id":897197,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70250769,"text":"70250769 - 2023 - Carbon dioxide (CO2) gas and eDNA monitoring as tools for eradicating invasive fish from anchialine pools in Hawai‘i","interactions":[],"lastModifiedDate":"2024-01-03T12:47:16.405249","indexId":"70250769","displayToPublicDate":"2023-11-13T06:45:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Carbon dioxide (CO2) gas and eDNA monitoring as tools for eradicating invasive fish from anchialine pools in Hawai‘i","docAbstract":"Invasive fish can profoundly affect communities they invade. In Hawai‘i, invasive fishes have become established in many anchialine pools, threatening the persistence of resident invertebrates, including several endangered species. Tools to eradicate invasive fishes from these pools are lacking. This study tested the efficacy of carbon dioxide (CO2) gas diffused into anchialine pool water as a method to eradicate invasive Mozambique tilapia (Oreochromis mossambicus), guppies (Poecilia reticulata), and western mosquitofish (Gambusia affinis). We first conducted aquarium trials to identify how these fishes were affected by elevated CO2 and the concomitant reduction in pH. We then carried out field trials in pools containing these fish in one pool each at two national historical parks on the Island of Hawai‘i during July 2021–January 2022. We also developed environmental DNA (eDNA) protocols to detect fish that may have survived CO2 treatments. The effect of CO2 on fish behavior varied among species; at pH 5.3 (CO2 = 255 mg/L) for tilapia and 5.0 (CO2 = 488 mg/L) for tilapia, guppies, and mosquitofish, all generally lost their ability to swim, showed slow or no gill movement, and altered their position in the water column. No tilapia survived the trials (n = 4 and 6 individuals at pH 5.3 and 5.0, respectively). In contrast, 41.7% (n = 12) of adult guppies and 66.7% (n = 12) of adult mosquitofish survived treatment at pH 5.0. In the field we were unable to reduce anchialine pool water pH below 5.7. Regardless, we were able to eradicate tilapia from one pool over four sequential treatments. Post-treatment eDNA assessments supported visual surveys, confirming our results. We were not able to eradicate guppies and mosquitofish. Results from this study show that CO2 can be an effective tool for eradicating invasive tilapia from anchialine pools, and post-treatment eDNA assessments can provide managers with a method for evaluating the success of eradication efforts.","language":"English","publisher":"Reabic","doi":"10.3391/mbi.2023.14.4.11","usgsCitation":"Peck, R., Munnstermann, M., Hayes, M., Atkinson, C., Beavers, S., Cupp, A.R., and Banko, P.C., 2023, Carbon dioxide (CO2) gas and eDNA monitoring as tools for eradicating invasive fish from anchialine pools in Hawai‘i: Management of Biological Invasions, v. 14, no. 4, p. 749-774, https://doi.org/10.3391/mbi.2023.14.4.11.","productDescription":"26 p.","startPage":"749","endPage":"774","ipdsId":"IP-155507","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":441610,"rank":1,"type":{"id":40,"text":"Open Access 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acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":891345,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Banko, Paul C. 0000-0002-6035-9803 pbanko@usgs.gov","orcid":"https://orcid.org/0000-0002-6035-9803","contributorId":3179,"corporation":false,"usgs":true,"family":"Banko","given":"Paul","email":"pbanko@usgs.gov","middleInitial":"C.","affiliations":[{"id":5049,"text":"Pacific Islands Ecosys Research Center","active":true,"usgs":true},{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":891346,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70250652,"text":"70250652 - 2023 - Time-dependent weakening of granite at hydrothermal conditions","interactions":[],"lastModifiedDate":"2023-12-22T12:50:40.17831","indexId":"70250652","displayToPublicDate":"2023-11-13T06:43:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Time-dependent weakening of granite at hydrothermal conditions","docAbstract":"<div class=\"article-section__content en main\"><p>The evolution of a fault's frictional strength during the interseismic period is a critical component of the earthquake cycle, yet there have been relatively few studies that examine the time-dependent evolution of strength at conditions representative of seismogenic depths. Using a simulated fault in Westerly granite, we examined how frictional strength evolves under hydrothermal conditions up to 250°C during slide-hold-slide experiments. At temperatures ≤100°C, frictional strength generally increases with hold duration but, at 200 and 250°C, an initial increase in strength transitions to rapid time-dependent weakening for holds longer than 14&nbsp;hr. Forward modeling of long hold periods at 250°C using the rate and state friction constitutive equations requires a second, strongly negative, state variable with a long evolution distance. This implies that significant hydrothermal alteration is occurring at 250°C, consistent with microstructural observations of dissolution and secondary mineral precipitation.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GL105517","usgsCitation":"Jeppson, T.N., Lockner, D., Beeler, N.M., and Moore, D.E., 2023, Time-dependent weakening of granite at hydrothermal conditions: Geophysical Research Letters, v. 50, no. 21, e2023GL105517, 9 p., https://doi.org/10.1029/2023GL105517.","productDescription":"e2023GL105517, 9 p.","ipdsId":"IP-154283","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":441612,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gl105517","text":"Publisher Index Page"},{"id":423858,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"50","issue":"21","noUsgsAuthors":false,"publicationDate":"2023-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Jeppson, Tamara Nicole 0000-0001-5526-5530","orcid":"https://orcid.org/0000-0001-5526-5530","contributorId":248768,"corporation":false,"usgs":true,"family":"Jeppson","given":"Tamara","email":"","middleInitial":"Nicole","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":890895,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lockner, David A. 0000-0001-8630-6833","orcid":"https://orcid.org/0000-0001-8630-6833","contributorId":257574,"corporation":false,"usgs":true,"family":"Lockner","given":"David A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":890896,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beeler, Nicholas M. 0000-0002-3397-8481 nbeeler@usgs.gov","orcid":"https://orcid.org/0000-0002-3397-8481","contributorId":2682,"corporation":false,"usgs":true,"family":"Beeler","given":"Nicholas","email":"nbeeler@usgs.gov","middleInitial":"M.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":890897,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moore, Diane E. 0000-0002-8641-1075 dmoore@usgs.gov","orcid":"https://orcid.org/0000-0002-8641-1075","contributorId":2704,"corporation":false,"usgs":true,"family":"Moore","given":"Diane","email":"dmoore@usgs.gov","middleInitial":"E.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":890898,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70250090,"text":"70250090 - 2023 - Linking meso-scale spatial variation in methylmercury production to bioaccumulation in tidal marsh food webs","interactions":[],"lastModifiedDate":"2023-12-21T14:34:06.041328","indexId":"70250090","displayToPublicDate":"2023-11-13T06:40:51","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Linking meso-scale spatial variation in methylmercury production to bioaccumulation in tidal marsh food webs","docAbstract":"<div id=\"abstractBox\" class=\"article_abstract-content hlFld-Abstract\"><p class=\"articleBody_abstractText\">Differences in sediment biogeochemistry among tidal marsh features with different hydrological and geomorphological characteristics, including marsh interiors, marsh edges, first-order channels, and third-order channels, can result in spatial variation in MeHg production and availability. To better understand the link between MeHg production in sediments and bioaccumulation in primary and secondary consumer invertebrates and fish, we characterized mesoscale spatial variation in sediment biogeochemistry and MeHg concentrations of sediments, water, and consumer tissues among marsh features. Our results indicated that marsh interiors had biogeochemical conditions, including greater concentrations of organic matter and sulfate reduction rates, that resulted in greater MeHg concentrations in sediments and surface water particulates from marsh interiors compared to other features. Tissue MeHg concentrations of consumers also differed among features, with greater concentrations from marsh edges and interiors compared to channels. This spatial mismatch of MeHg concentrations in sediments and water compared to those in consumers may have resulted from differences in behavior and physiology among consumers that influenced the spatial scale over which MeHg was integrated into tissues. Our results highlight the importance of sampling across a suite of marsh features and considering the behavioral and physiological traits of sentinel taxa for contaminant monitoring studies.</p></div>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.3c04907","usgsCitation":"Hall, L.A., Woo, I., Marvin-DiPasquale, M.C., Takekawa, J., Krabbenhoft, D.P., Yee, D., Grenier, L., and De La Cruz, S.E., 2023, Linking meso-scale spatial variation in methylmercury production to bioaccumulation in tidal marsh food webs: Environmental Science and Technology, v. 57, no. 48, p. 19263-19273, https://doi.org/10.1021/acs.est.3c04907.","productDescription":"11 p.","startPage":"19263","endPage":"19273","ipdsId":"IP-146856","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":467076,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1021/acs.est.3c04907","text":"Publisher Index Page"},{"id":422672,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"48","noUsgsAuthors":false,"publicationDate":"2023-11-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Hall, Laurie Anne 0000-0001-5822-649X","orcid":"https://orcid.org/0000-0001-5822-649X","contributorId":243313,"corporation":false,"usgs":true,"family":"Hall","given":"Laurie","email":"","middleInitial":"Anne","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":888285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woo, Isa 0000-0002-8447-9236 iwoo@usgs.gov","orcid":"https://orcid.org/0000-0002-8447-9236","contributorId":2524,"corporation":false,"usgs":true,"family":"Woo","given":"Isa","email":"iwoo@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":888286,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marvin-DiPasquale, Mark C. 0000-0002-8186-9167 mmarvin@usgs.gov","orcid":"https://orcid.org/0000-0002-8186-9167","contributorId":1485,"corporation":false,"usgs":true,"family":"Marvin-DiPasquale","given":"Mark","email":"mmarvin@usgs.gov","middleInitial":"C.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":888287,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Takekawa, John Y. 0000-0003-0217-5907","orcid":"https://orcid.org/0000-0003-0217-5907","contributorId":203805,"corporation":false,"usgs":false,"family":"Takekawa","given":"John Y.","affiliations":[{"id":36724,"text":"Audubon California, Richardson Bay Audubon Center and Sanctuary, Tiburon, CA","active":true,"usgs":false}],"preferred":false,"id":888288,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888289,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yee, Donald","contributorId":191127,"corporation":false,"usgs":false,"family":"Yee","given":"Donald","email":"","affiliations":[],"preferred":false,"id":888290,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grenier, Letitia","contributorId":177085,"corporation":false,"usgs":false,"family":"Grenier","given":"Letitia","email":"","affiliations":[{"id":27771,"text":"San Francisco Estuary Institute – Aquatic Science Center, Richmond, CA 94804","active":true,"usgs":false}],"preferred":false,"id":888291,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":888292,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70250262,"text":"70250262 - 2023 - Global dataset of soil organic carbon in tidal marshes","interactions":[],"lastModifiedDate":"2023-11-30T13:27:20.115335","indexId":"70250262","displayToPublicDate":"2023-11-11T07:25:46","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3907,"text":"Scientific Data","active":true,"publicationSubtype":{"id":10}},"title":"Global dataset of soil organic carbon in tidal marshes","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Tidal marshes store large amounts of organic carbon in their soils. Field data quantifying soil organic carbon (SOC) stocks provide an important resource for researchers, natural resource managers, and policy-makers working towards the protection, restoration, and valuation of these ecosystems. We collated a global dataset of tidal marsh soil organic carbon (MarSOC) from 99 studies that includes location, soil depth, site name, dry bulk density, SOC, and/or soil organic matter (SOM). The MarSOC dataset includes 17,454 data points from 2,329 unique locations, and 29 countries. We generated a general transfer function for the conversion of SOM to SOC. Using this data we estimated a median (±&nbsp;median absolute deviation) value of 79.2 ± 38.1 Mg SOC ha<sup>−1</sup><span>&nbsp;</span>in the top 30 cm and 231 ± 134 Mg SOC ha<sup>−1</sup><span>&nbsp;</span>in the top 1 m of tidal marsh soils globally. This data can serve as a basis for future work, and may contribute to incorporation of tidal marsh ecosystems into climate change mitigation and adaptation strategies and policies.</p></div></div>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41597-023-02633-x","usgsCitation":"Maxwell, T.L., Rovai, A.S., Adame, M.F., Adams, J.B., Alvarez-Rogel, J., Austin, W.E., Beasy, K., Boscutti, F., Bottcher, M.E., Bouma, T.J., Bulmer, R.H., Burden, A., Burke, S.A., Camacho, S., Chaudhary, D.R., Chmura, G., Copertino, M., Cott, G.M., Craft, C., Day, J.W., de los Santos, C.B., Denis, L., Ding, W., Ellison, J.C., Ewers Lewis, C.J., Giani, L., Gispert, M., Gontharet, S., Gonzalez-Perez, J.A., Gonzalez-Alcaraz, M.N., Gorham, C., Graversen, A.E., Grey, A., Guerra, R., He, Q., Holmquist, J.R., Jones, A.R., Juanes, J.A., Kelleher, B.P., Kohfeld, K.E., Krause-Jensen, D., Lafratta, A., Lavery, P.S., Laws, E.A., Leiva-Duenas, C., Loh, P.S., Lovelock, C.E., Lundquist, C.J., Macreadie, P.I., Mazarrasa, I., Megonigal, J.P., Neto, J.M., Nogueira, J., Osland, M., Pages, J.F., Perera, N., Pfeiffer, E., Pollmann, T., Raw, J.L., Recio, M., Ruiz-Fernández, A., Russell, S.K., Rybczyk, J., Sammul, M., Sanders, C., Santos, R., Serrano, O., Siewert, M.B., Smeaton, C., Song, Z., Trasar-Cepeda, C., Twilley, R.R., Van de Broek, M., Vitti, S., Antisari, L.V., Voltz, B., Wails, C.N., Ward, R.D., Warden, M., Wolfe, J., Yang, R., Zubrzycki, S., Landis, E., Smart, L., Spalding, M., and Worthington, T.A., 2023, Global dataset of soil organic carbon in tidal marshes: Scientific Data, v. 10, no. 1, 797, 14 p., https://doi.org/10.1038/s41597-023-02633-x.","productDescription":"797, 14 p.","ipdsId":"IP-154100","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":441616,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41597-023-02633-x","text":"Publisher Index Page"},{"id":423091,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-11-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Maxwell, Tania L.","contributorId":331942,"corporation":false,"usgs":false,"family":"Maxwell","given":"Tania","email":"","middleInitial":"L.","affiliations":[{"id":79307,"text":"Conservation Science Group, Department of Zoology, University of Cambridge, Cambridge, UK","active":true,"usgs":false}],"preferred":false,"id":889132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rovai, Andre S.","contributorId":331943,"corporation":false,"usgs":false,"family":"Rovai","given":"Andre","email":"","middleInitial":"S.","affiliations":[{"id":79308,"text":"Department of Oceanography and Coastal Sciences, College of the Coast and Environment, Louisiana State University, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":889133,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Adame, Maria Fernanda","contributorId":242984,"corporation":false,"usgs":false,"family":"Adame","given":"Maria","email":"","middleInitial":"Fernanda","affiliations":[{"id":48596,"text":"Australian Rivers Institute, Griffith University","active":true,"usgs":false}],"preferred":false,"id":889134,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Adams, Janine B.","contributorId":303863,"corporation":false,"usgs":false,"family":"Adams","given":"Janine","email":"","middleInitial":"B.","affiliations":[{"id":65919,"text":"Nelson Mandela University (South Africa)","active":true,"usgs":false}],"preferred":false,"id":889135,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Alvarez-Rogel, Jose","contributorId":331944,"corporation":false,"usgs":false,"family":"Alvarez-Rogel","given":"Jose","email":"","affiliations":[{"id":79309,"text":"Department of Agricultural Engineering of the E.T.S.I.A. and Soil Ecology and Biotechnology Unit of the I.B.V., Technical University of Cartagena, Cartagena, Spain","active":true,"usgs":false}],"preferred":false,"id":889136,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Austin, William E.N.","contributorId":331945,"corporation":false,"usgs":false,"family":"Austin","given":"William","email":"","middleInitial":"E.N.","affiliations":[{"id":79310,"text":"School of Geography and Sustainable Development, University of St Andrews, UK","active":true,"usgs":false}],"preferred":false,"id":889137,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Beasy, Kim","contributorId":331946,"corporation":false,"usgs":false,"family":"Beasy","given":"Kim","email":"","affiliations":[{"id":79311,"text":"College of Arts, Law and Education, University of Tasmania, Hobart, Tasmania, Australia","active":true,"usgs":false}],"preferred":false,"id":889138,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Boscutti, Francesco","contributorId":331947,"corporation":false,"usgs":false,"family":"Boscutti","given":"Francesco","email":"","affiliations":[{"id":79312,"text":"Department of Agricultural, Food, Environmental and Animal Sciences, University of Udine, Udine, Italy","active":true,"usgs":false}],"preferred":false,"id":889139,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bottcher, Michael E.","contributorId":331948,"corporation":false,"usgs":false,"family":"Bottcher","given":"Michael","email":"","middleInitial":"E.","affiliations":[{"id":79313,"text":"Geochemistry and Isotope Biogeochemistry Group, Department of Marine Geology, Leibniz Institute for Baltic Sea Research (IOW), Warnemünde, Germany","active":true,"usgs":false}],"preferred":false,"id":889140,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Bouma, Tjeerd J.","contributorId":207160,"corporation":false,"usgs":false,"family":"Bouma","given":"Tjeerd","email":"","middleInitial":"J.","affiliations":[{"id":37466,"text":"Department of Estuarine and Delta Systems, Royal Netherlands Institute for Sea Research (NIOZ) and Utrecht University, PO Box 140, Yerseke NL-4400 AC, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":889141,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Bulmer, Richard H.","contributorId":331949,"corporation":false,"usgs":false,"family":"Bulmer","given":"Richard","email":"","middleInitial":"H.","affiliations":[{"id":79315,"text":"Tidal Research, New Zealand","active":true,"usgs":false}],"preferred":false,"id":889142,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Burden, Annette","contributorId":331950,"corporation":false,"usgs":false,"family":"Burden","given":"Annette","email":"","affiliations":[{"id":79316,"text":"UK Centre for Ecology & Hydrology Bangor, UK","active":true,"usgs":false}],"preferred":false,"id":889143,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Burke, Shannon A.","contributorId":331951,"corporation":false,"usgs":false,"family":"Burke","given":"Shannon","email":"","middleInitial":"A.","affiliations":[{"id":79317,"text":"School of Biology and Environmental Science, University College Dublin, Belfield, Dublin, Ireland","active":true,"usgs":false}],"preferred":false,"id":889144,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Camacho, Saritta","contributorId":331952,"corporation":false,"usgs":false,"family":"Camacho","given":"Saritta","email":"","affiliations":[{"id":79319,"text":"CIMA - Centro de Investigação Marinha e Ambiental, Portugal","active":true,"usgs":false}],"preferred":false,"id":889145,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Chaudhary, Doongar R.","contributorId":331953,"corporation":false,"usgs":false,"family":"Chaudhary","given":"Doongar","email":"","middleInitial":"R.","affiliations":[{"id":79320,"text":"CSIR-CSMCRI, G. B. 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,{"id":70260882,"text":"70260882 - 2023 - VogCast: A framework for modeling volcanic air pollution and its application to the 2022 eruption of Mauna Loa Volcano, Hawai'i","interactions":[],"lastModifiedDate":"2024-11-13T16:00:47.152627","indexId":"70260882","displayToPublicDate":"2023-11-10T09:52:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":8111,"text":"Journal of Geophysical Research Atmospheres","active":true,"publicationSubtype":{"id":10}},"title":"VogCast: A framework for modeling volcanic air pollution and its application to the 2022 eruption of Mauna Loa Volcano, Hawai'i","docAbstract":"<p><span>Volcanic activity and the associated gas emissions into the atmosphere often result in adverse air quality conditions and present a hazard to human health and the environment. Building on a decade-long effort to provide operational surface sulfur dioxide and sulfate aerosol forecasts for the State of Hawai'i, we present an air quality modeling framework called VogCast. VogCast is designed to simplify ensemble air quality prediction on a regional scale by linking together multiple state-of-the-art models of meteorology, emissions, and dispersion. The framework is open-source and introduces a new dynamic plume-rise algorithm for distributing pollutants vertically. Using radar and satellite data, we demonstrate that VogCast reasonably captured the mean injection height, the location, and the general envelope of the vog plume during Mauna Loa's 2022 eruption. The results suggest that during the 12-day eruption period model performance varied between days with trade and non-trade wind conditions. Our findings also highlight the importance of sulfur dioxide emission rate and vent parameter inputs for improving forecast accuracy. The broad goal of this work is to better our understanding of vog dispersion and improve air quality prediction for impacted communities.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JD039281","usgsCitation":"Moisseeva, N., Businger, S., and Elias, T., 2023, VogCast: A framework for modeling volcanic air pollution and its application to the 2022 eruption of Mauna Loa Volcano, Hawai'i: Journal of Geophysical Research Atmospheres, v. 128, no. 22, e2023JD039281, 14 p., https://doi.org/10.1029/2023JD039281.","productDescription":"e2023JD039281, 14 p.","ipdsId":"IP-153377","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467077,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jd039281","text":"Publisher Index Page"},{"id":463904,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Mauna Loa Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.7156069329796,\n              19.56532392435213\n            ],\n            [\n              -155.7156069329796,\n              19.345990597059426\n            ],\n            [\n              -155.48166856061957,\n              19.345990597059426\n            ],\n            [\n              -155.48166856061957,\n              19.56532392435213\n            ],\n            [\n              -155.7156069329796,\n              19.56532392435213\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"128","issue":"22","noUsgsAuthors":false,"publicationDate":"2023-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Moisseeva, Nadya 0000-0001-7317-1597","orcid":"https://orcid.org/0000-0001-7317-1597","contributorId":335180,"corporation":false,"usgs":false,"family":"Moisseeva","given":"Nadya","email":"","affiliations":[{"id":64253,"text":"University of Hawaiʻi at Mānoa","active":true,"usgs":false}],"preferred":false,"id":918411,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Businger, Steven","contributorId":345757,"corporation":false,"usgs":false,"family":"Businger","given":"Steven","email":"","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":918412,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elias, Tamar 0000-0002-9592-4518 telias@usgs.gov","orcid":"https://orcid.org/0000-0002-9592-4518","contributorId":3916,"corporation":false,"usgs":true,"family":"Elias","given":"Tamar","email":"telias@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":918413,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70263989,"text":"70263989 - 2023 - Four different surgical approaches to vasectomies in male Texas bobwhite quail (Colinus virginianus texanus) and northern bobwhite quail (Colinus virginianus)","interactions":[],"lastModifiedDate":"2025-03-04T15:23:24.262302","indexId":"70263989","displayToPublicDate":"2023-11-10T09:18:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2191,"text":"Journal of Avian Medicine and Surgery","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Four different surgical approaches to vasectomies in male Texas bobwhite quail (<i>Colinus virginianus texanus</i>) and northern bobwhite quail (<i>Colinus virginianus</i>)","title":"Four different surgical approaches to vasectomies in male Texas bobwhite quail (Colinus virginianus texanus) and northern bobwhite quail (Colinus virginianus)","docAbstract":"<p><span>Vasectomies render a male sterile and have been used for various management purposes, including conservation efforts. This report evaluated 4 different surgical approaches (external approach, internal approach with dissection, internal approach with cautery, and internal approach caudally) to perform 177 vasectomies in Texas bobwhite (</span><i>Colinus virginianus texanus</i><span>; n = 171) and northern bobwhite quail (</span><i>Colinus virginianus</i><span>; n = 6) in a field setting. Birds were not randomized into groups for the different approaches. Survival was recorded in 83% (147/177) of the birds. The most common cause of death was hemorrhage from the common iliac vein due to damage during the surgical procedure. Other causes for death included transection of the ureter, parasitism, euthanasia, and undetermined causes. The approach that had the highest survival rate (89.8%, 132/147) was the internal approach with cautery, and based on these results the authors recommend this approach for vasectomies in Texas and northern bobwhite quail.</span></p>","language":"English","publisher":"Association of Avian Veterinarians","doi":"10.1647/2021-0132","usgsCitation":"Lamb, S., Olsen, G.H., and Pilny, A., 2023, Four different surgical approaches to vasectomies in male Texas bobwhite quail (Colinus virginianus texanus) and northern bobwhite quail (Colinus virginianus): Journal of Avian Medicine and Surgery, v. 37, no. 3, p. 226-234, https://doi.org/10.1647/2021-0132.","productDescription":"9 p.","startPage":"226","endPage":"234","ipdsId":"IP-146172","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":482796,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lamb, Stephanie K.","contributorId":351767,"corporation":false,"usgs":false,"family":"Lamb","given":"Stephanie K.","affiliations":[{"id":84037,"text":"Arizona Exotic Animal Hospital","active":true,"usgs":false}],"preferred":false,"id":929426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olsen, Glenn H. 0000-0002-7188-6203","orcid":"https://orcid.org/0000-0002-7188-6203","contributorId":238130,"corporation":false,"usgs":true,"family":"Olsen","given":"Glenn","email":"","middleInitial":"H.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":929427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pilny, Anthony","contributorId":351768,"corporation":false,"usgs":false,"family":"Pilny","given":"Anthony","affiliations":[{"id":84040,"text":"Arizona Exotics Animal Hospital","active":true,"usgs":false}],"preferred":false,"id":929428,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
]}