{"pageNumber":"95","pageRowStart":"2350","pageSize":"25","recordCount":68760,"records":[{"id":70248274,"text":"70248274 - 2023 - Visitation to national parks in California shows annual and seasonal change during extreme drought and wet years","interactions":[],"lastModifiedDate":"2023-09-06T13:46:49.08371","indexId":"70248274","displayToPublicDate":"2023-08-09T08:41:42","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16703,"text":"PLOS Climate","active":true,"publicationSubtype":{"id":10}},"title":"Visitation to national parks in California shows annual and seasonal change during extreme drought and wet years","docAbstract":"<p><span>This study examines the influence of drought indicators on recreational visitation patterns to National Park Service units in California (USA) from 1980 to 2019. We considered mountain, arid, and coastal park types across a climate gradient where seasonal recreational opportunities are directly or indirectly dependent on water resources. Significant departures from the normal hydroclimate, reflected by drought or unusually wet conditions, can lead visitors to change their behavior, including recreating at a different time or place. Drought conditions can facilitate earlier seasonal access at higher elevation parks, but displace visitors in other seasons and parks. Wetter-than-average conditions can displace visitors due to snowpack or flooding, but also facilitate other activities. We found a decrease in annual visitation at popular mountain parks including Yosemite (-8.6%) and Sequoia and Kings Canyon (-8.2%) during extreme drought years due to lower-than-average attendance in peak summer and fall months. Extreme wet years also had significantly reduced annual visitation in Sequoia and Kings (-8.5%) and Lassen Volcanic (-13.9%) due to declines in spring and summer use as snowpack restricts road access. For arid parks, drought status did not have a statistically significant effect on annual visitation, although extreme drought led to less use during the hottest months of summer at Death Valley, and extreme wet conditions at Pinnacles led to less visitation throughout the year (-16.6%), possibly from impacts to infrastructure associated with flooding. For coastal park units, extreme drought led to year-round higher levels of use at Redwood (+27.7%), which is typically wet, and less year-round use at Channel Islands (-23.6%), which is relatively dry, while extreme wet years led to higher levels of annual use at Channel Islands (+29.4%). Collectively, these results indicate the effect of extreme drought or wet years on park visitation varies by park depending on geography and recreational activities offered.</span></p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pclm.0000260","usgsCitation":"Jenkins, J.S., Abatzoglou, J.T., Wilkins, E.J., and Perry, E.E., 2023, Visitation to national parks in California shows annual and seasonal change during extreme drought and wet years: PLOS Climate, v. 2, no. 8, e0000260, 19 p., https://doi.org/10.1371/journal.pclm.0000260.","productDescription":"e0000260, 19 p.","ipdsId":"IP-143303","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":442476,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pclm.0000260","text":"Publisher Index 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 \"}}]}","volume":"2","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Jeffrey S. 0000-0003-2860-9654","orcid":"https://orcid.org/0000-0003-2860-9654","contributorId":329398,"corporation":false,"usgs":false,"family":"Jenkins","given":"Jeffrey","email":"","middleInitial":"S.","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false}],"preferred":false,"id":882199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abatzoglou, John T.","contributorId":329399,"corporation":false,"usgs":false,"family":"Abatzoglou","given":"John","email":"","middleInitial":"T.","affiliations":[{"id":16805,"text":"University of California, Merced","active":true,"usgs":false}],"preferred":false,"id":882200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilkins, Emily J. 0000-0003-3055-4808","orcid":"https://orcid.org/0000-0003-3055-4808","contributorId":328409,"corporation":false,"usgs":true,"family":"Wilkins","given":"Emily","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perry, Elizabeth E. 0000-0002-7992-6345","orcid":"https://orcid.org/0000-0002-7992-6345","contributorId":329400,"corporation":false,"usgs":false,"family":"Perry","given":"Elizabeth","email":"","middleInitial":"E.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":882202,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70247464,"text":"fs20233032 - 2023 - Predicting water quality in the Clark Fork near Grant-Kohrs Ranch National Historic Site, southwestern Montana","interactions":[],"lastModifiedDate":"2026-02-09T17:36:47.99778","indexId":"fs20233032","displayToPublicDate":"2023-08-09T07:34:31","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-3032","displayTitle":"Predicting Water Quality in the Clark Fork near Grant-Kohrs Ranch National Historic Site, Southwestern Montana","title":"Predicting water quality in the Clark Fork near Grant-Kohrs Ranch National Historic Site, southwestern Montana","docAbstract":"<p>The U.S. Geological Survey (USGS) provides a wide range of streamflow, groundwater, and water-quality data to Government, commercial, academic, and public users. The USGS has a record of success with using optical turbidity sensors to predict suspended-sediment concentrations in rivers and streams. Turbidity sensors collect backscatter signals from suspended particles in water, which can be accurately measured and linked closely to hazardous contaminants that travel on the surfaces of suspended particles. Contaminant concentrations derived from the statistical relations between turbidity and contaminants like copper and lead can then be measured in real-time. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233032","usgsCitation":"Ellison, C.A., 2023, Predicting water quality in the Clark Fork near Grant-Kohrs Ranch National Historic Site, southwestern Montana: U.S. Geological Survey Fact Sheet 2023–3032, 4 p., https://doi.org/10.3133/fs20233032.","productDescription":"Report: 4 p.; Data Release","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-149634","costCenters":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":499691,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115178.htm","linkFileType":{"id":5,"text":"html"}},{"id":419659,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20233032/full"},{"id":419605,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2023/3032/fs20233032.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2023–3032"},{"id":419604,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2023/3032/coverthb.jpg"},{"id":419606,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2023/3032/fs20233032.XML"},{"id":419607,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2023/3032/images"},{"id":419608,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9330BXM","text":"USGS data release","linkHelpText":"Water quality and streamflow data for the Clark Fork near Grant-Kohrs Ranch National Historic Site in southwestern Montana, water years 2019–2020"}],"country":"United States","state":"Montana","otherGeospatial":"Clark Fork, Grant-Kohrs Ranch National Historic Site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.8301717989599,\n              46.5276604287545\n            ],\n            [\n              -112.8301717989599,\n              46.38873569479347\n            ],\n            [\n              -112.66374787281434,\n              46.38873569479347\n            ],\n            [\n              -112.66374787281434,\n              46.5276604287545\n            ],\n            [\n              -112.8301717989599,\n              46.5276604287545\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wy-mt-water/\" data-mce-href=\"https://www.usgs.gov/centers/wy-mt-water/\">Wyoming-Montana Water Science Center</a><br>U.S. Geological Survey<br>3162 Bozeman Avenue <br>Helena, MT 59601</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Grant-Kohrs Ranch National Historic Site</li><li>Water-Quality Monitoring using Surrogate Technology</li><li>USGS and NPS Collaborative Study</li><li>Results of the Study</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-08-09","noUsgsAuthors":false,"publicationDate":"2023-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Ellison, Christopher A. 0000-0002-5886-6654 cellison@usgs.gov","orcid":"https://orcid.org/0000-0002-5886-6654","contributorId":4891,"corporation":false,"usgs":true,"family":"Ellison","given":"Christopher","email":"cellison@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":879758,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70247499,"text":"70247499 - 2023 - SaTSeaD: Satellite Triangulated Sea Depth open-source bathymetry module for NASA Ames Stereo Pipeline","interactions":[],"lastModifiedDate":"2023-08-10T11:47:28.20107","indexId":"70247499","displayToPublicDate":"2023-08-09T06:45:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"SaTSeaD: Satellite Triangulated Sea Depth open-source bathymetry module for NASA Ames Stereo Pipeline","docAbstract":"<div class=\"html-p\">We developed the first-ever bathymetric module for the NASA Ames Stereo Pipeline (ASP) open-source topographic software called Satellite Triangulated Sea Depth, or SaTSeaD, to derive nearshore bathymetry from stereo imagery. Correct bathymetry measurements depend on water surface elevation, and whereas previous methods considered the water surface horizontal, our bathymetric module accounts for the curvature of the Earth in the imagery. The process is semiautomatic, reliable, and repeatable, independent of any external bathymetry data eliminating user bias in selecting bathymetry calibration points, and it can generate a fully integrated and seamless topo-bathymetry digital elevation model (TBDEM) in the same coordinate system, comparable with the band-ratio method irrespective of the regression method used for the band-ratio algorithm. The ASP output can be improved by applying a camera bundle adjustment to minimize reprojection errors and by alignment to a more accurate topographic (above water) surface without any bathymetric input since the derived TBDEM is a rigid surface. These procedures can decrease bathymetry root mean square errors from 30 to 80 percent, depending on environmental conditions, the quality of satellite imagery, and the spectral band used (e.g., blue, green, or panchromatic).</div>","language":"English","publisher":"MDPI","doi":"10.3390/rs15163950","usgsCitation":"Palaseanu-Lovejoy, M., Alexandrov, O., Danielson, J.J., and Storlazzi, C.D., 2023, SaTSeaD: Satellite Triangulated Sea Depth open-source bathymetry module for NASA Ames Stereo Pipeline: Remote Sensing, v. 15, no. 16, 3950, 28 p., https://doi.org/10.3390/rs15163950.","productDescription":"3950, 28 p.","ipdsId":"IP-154732","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":442479,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs15163950","text":"Publisher Index Page"},{"id":419692,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"16","noUsgsAuthors":false,"publicationDate":"2023-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Palaseanu-Lovejoy, Monica 0000-0002-3786-5118","orcid":"https://orcid.org/0000-0002-3786-5118","contributorId":305576,"corporation":false,"usgs":true,"family":"Palaseanu-Lovejoy","given":"Monica","affiliations":[],"preferred":true,"id":879885,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alexandrov, Oleg","contributorId":299745,"corporation":false,"usgs":false,"family":"Alexandrov","given":"Oleg","affiliations":[],"preferred":false,"id":879886,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Danielson, Jeffrey J. 0000-0003-0907-034X daniels@usgs.gov","orcid":"https://orcid.org/0000-0003-0907-034X","contributorId":3996,"corporation":false,"usgs":true,"family":"Danielson","given":"Jeffrey","email":"daniels@usgs.gov","middleInitial":"J.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":879887,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":879888,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70247917,"text":"70247917 - 2023 - Functional gene composition and metabolic potential of deep-sea coral-associated microbial communities","interactions":[],"lastModifiedDate":"2023-10-11T15:49:50.8594","indexId":"70247917","displayToPublicDate":"2023-08-09T06:39:45","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1338,"text":"Coral Reefs","active":true,"publicationSubtype":{"id":10}},"title":"Functional gene composition and metabolic potential of deep-sea coral-associated microbial communities","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>Over the past decade, an abundance of 16S rRNA gene surveys have provided microbiologists with data regarding the prokaryotes present in a coral-associated microbial community. Functional gene studies that provide information regarding what those microbes might do are fewer, particularly for non-tropical corals. Using the GeoChip 5.0S microarray, we present a functional gene study of microbiomes from five species of cold-water corals collected from depths of 296–1567&nbsp;m. These species included two octocorals,<span>&nbsp;</span><i>Acanthogorgia aspera</i><span>&nbsp;</span>and<span>&nbsp;</span><i>Acanthogorgia spissa</i>, and three stony corals:<span>&nbsp;</span><i>Desmophyllum dianthus</i>,<span>&nbsp;</span><i>Desmophyllum pertusum</i><span>&nbsp;</span>(formerly<span>&nbsp;</span><i>Lophelia pertusa</i>), and<span>&nbsp;</span><i>Enallopsammia profunda</i>. A total of 24,281 gene sequences (representing different microbial taxa) encoding for 383 functional gene families and representing 9 metabolic gene categories were identified. Gene categories included metabolism of carbon, nitrogen, phosphorus, and sulfur, as well as virulence, organic remediation, metal homeostasis, secondary metabolism and phylogeny. We found that microbiomes from<span>&nbsp;</span><i>Acanthogorgia</i><span>&nbsp;</span>spp. were the most functionally distinct but also least diverse compared against those from stony corals.<span>&nbsp;</span><i>Desmophyllum</i><span>&nbsp;</span>spp. microbiomes were more similar to each other than to<span>&nbsp;</span><i>E. profunda</i>. Of 383 total gene families detected in this study, less than 20% were significantly different among these deep-water coral species. Similarly, out of 59 metabolic sub-categories for which we were able to make a direct comparison to microbiomes of tropical corals, only 7 were notably different: anaerobic ammonium oxidation (anammox), chitin degradation, and dimethylsulfoniopropionate (DMSP) degradation, all of which had higher representations in deep-water corals; and chromium homeostasis/resistance, copper homeostasis/resistance, antibiotic resistance, and methanogenesis, all of which had higher representation in tropical corals. This implies a broad-scale convergence of the microbial functional genes present within the coral holobiont, independent of coral species, depth, symbiont status, and morphology.</p></div></div>","language":"English","publisher":"Springer","doi":"10.1007/s00338-023-02409-0","usgsCitation":"Pratte, Z.A., Stewart, F.J., and Kellogg, C.A., 2023, Functional gene composition and metabolic potential of deep-sea coral-associated microbial communities: Coral Reefs, v. 42, p. 1011-1023, https://doi.org/10.1007/s00338-023-02409-0.","productDescription":"13 p.","startPage":"1011","endPage":"1023","ipdsId":"IP-144192","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":442481,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00338-023-02409-0","text":"Publisher Index Page"},{"id":435229,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RPE8YX","text":"USGS data release","linkHelpText":"Functional Gene Microarray Data From Cold-water Corals (Acanthogorgia spp., Desmophyllum dianthus, Desmophyllum pertusum, and Enallopsammia profunda) from the Atlantic Ocean off the Southeast Coast of the United States-Raw Data"},{"id":420106,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"42","noUsgsAuthors":false,"publicationDate":"2023-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Pratte, Zoe A.","contributorId":214260,"corporation":false,"usgs":false,"family":"Pratte","given":"Zoe","email":"","middleInitial":"A.","affiliations":[{"id":27526,"text":"Georgia Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":881003,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, Frank J.","contributorId":328672,"corporation":false,"usgs":false,"family":"Stewart","given":"Frank","email":"","middleInitial":"J.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":881004,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kellogg, Christina A. 0000-0002-6492-9455 ckellogg@usgs.gov","orcid":"https://orcid.org/0000-0002-6492-9455","contributorId":391,"corporation":false,"usgs":true,"family":"Kellogg","given":"Christina","email":"ckellogg@usgs.gov","middleInitial":"A.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":881005,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70247097,"text":"70247097 - 2023 - Bighorn sheep associations: Understanding tradeoffs of sociality and implications for disease transmission","interactions":[],"lastModifiedDate":"2023-08-10T16:29:14.149297","indexId":"70247097","displayToPublicDate":"2023-08-08T11:16:18","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":"Bighorn sheep associations: Understanding tradeoffs of sociality and implications for disease transmission","docAbstract":"<p><span>Sociality directly influences mating success, survival rates, and disease, but ultimately likely evolved for its fitness benefits in a challenging environment. The tradeoffs between the costs and benefits of sociality can operate at multiple scales, resulting in different interpretations of animal behavior. We investigated the influence of intrinsic (</span><i>e.g.</i><span>, relatedness, age) and extrinsic factors (</span><i>e.g.</i><span>, land cover type, season) on direct contact (simultaneous GPS locations ≤ 25 m) rates of bighorn sheep (</span><i>Ovis canadensis</i><span>) at multiple scales near the Waterton-Glacier International Peace Park. During 2002–2012, male and female bighorn were equipped with GPS collars. Indirect contact (GPS locations ≤ 25 m regardless of time) networks identified two major breaks whereas direct contact networks identified an additional barrier in the population, all of which corresponded with prior disease exposure metrics. More direct contacts occurred between same-sex dyads than female-male dyads and between bighorn groups with overlapping summer home ranges. Direct contacts occurred most often during the winter-spring season when bighorn traveled at low speeds and when an adequate number of bighorn were collared in the area. Direct contact probabilities for all dyad types were inversely related to habitat quality, and differences in contact probability were driven by variables related to survival such as terrain ruggedness, distance to escape terrain, and canopy cover. We provide evidence that probabilities of association are higher when there is greater predation risk and that contact analysis provides valuable information for understanding fitness tradeoffs of sociality and disease transmission potential.</span></p>","language":"English","publisher":"PeerJ Inc.","doi":"10.7717/peerj.15625","usgsCitation":"Tosa, M., Biel, M., and Graves, T.A., 2023, Bighorn sheep associations: Understanding tradeoffs of sociality and implications for disease transmission: PeerJ, v. 11, e15625, 28 p., https://doi.org/10.7717/peerj.15625.","productDescription":"e15625, 28 p.","ipdsId":"IP-097793","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":442484,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.7717/peerj.15625","text":"Publisher Index Page"},{"id":435230,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ANTBOF","text":"USGS data release","linkHelpText":"Glacier Waterton International Peace Park bighorn sheep (Ovis canadensis), 2002-2012"},{"id":419710,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alberta, British Columbia, Montana","otherGeospatial":"Blackfeet Indian Reservation, Waterton-Glacier International Peace Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.21954038442665,\n              49.16160622487246\n            ],\n            [\n              -113.83879589961161,\n              48.6100611857764\n            ],\n            [\n              -112.89302799949076,\n              48.57343225752126\n            ],\n            [\n              -113.59820762202632,\n              49.252735925458836\n            ],\n            [\n              -114.21954038442665,\n              49.16160622487246\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-08-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Tosa, Marie","contributorId":317263,"corporation":false,"usgs":false,"family":"Tosa","given":"Marie","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":878870,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Biel, Mark","contributorId":317264,"corporation":false,"usgs":false,"family":"Biel","given":"Mark","email":"","affiliations":[{"id":68985,"text":"GNP","active":true,"usgs":false}],"preferred":false,"id":878871,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, Tabitha A. 0000-0001-5145-2400 tgraves@usgs.gov","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":5898,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha","email":"tgraves@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":878872,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70249617,"text":"70249617 - 2023 - Salinization and sedimentation drive contrasting assembly mechanisms of planktonic and sediment-bound bacterial communities in agricultural streams","interactions":[],"lastModifiedDate":"2024-09-16T16:08:11.965666","indexId":"70249617","displayToPublicDate":"2023-08-07T09:15:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1837,"text":"Global Change Biology","active":true,"publicationSubtype":{"id":10}},"title":"Salinization and sedimentation drive contrasting assembly mechanisms of planktonic and sediment-bound bacterial communities in agricultural streams","docAbstract":"<p><span>Agriculture is the most dominant land use globally and is projected to increase in the future to support a growing human population but also threatens ecosystem structure and services. Bacteria mediate numerous biogeochemical pathways within ecosystems. Therefore, identifying linkages between stressors associated with agricultural land use and responses of bacterial diversity is an important step in understanding and improving resource management. Here, we use the Mississippi Alluvial Plain (MAP) ecoregion, a highly modified agroecosystem, as a case study to better understand agriculturally associated drivers of stream bacterial diversity and assembly mechanisms. In the MAP, we found that planktonic bacterial communities were strongly influenced by salinity. Tolerant taxa increased with increasing ion concentrations, likely driving homogenous selection which accounted for ~90% of assembly processes. Sediment bacterial phylogenetic diversity increased with increasing agricultural land use and was influenced by sediment particle size, with assembly mechanisms shifting from homogenous to variable selection as differences in median particle size increased. Within individual streams, sediment heterogeneity was correlated with bacterial diversity and a subsidy-stress relationship along the particle size gradient was observed. Planktonic and sediment communities within the same stream also diverged as sediment particle size decreased. Nutrients including carbon, nitrogen, and phosphorus, which tend to be elevated in agroecosystems, were also associated with detectable shifts in bacterial community structure. Collectively, our results establish that two understudied variables, salinity and sediment texture, are the primary drivers of bacterial diversity within the studied agroecosystem, whereas nutrients are secondary drivers. Although numerous macrobiological communities respond negatively, we observed increasing bacterial diversity in response to agricultural stressors including salinization and sedimentation. Elevated taxonomic and phylogenetic bacterial diversity likely increases the probability of detecting community responses to stressors. Thus, bacteria community responses may be more reliable for establishing water quality goals within highly modified agroecosystems that have experienced shifting baselines.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gcb.16905","usgsCitation":"DeVilbiss, S.E., Taylor, J.M., and Hicks, M.B., 2023, Salinization and sedimentation drive contrasting assembly mechanisms of planktonic and sediment-bound bacterial communities in agricultural streams: Global Change Biology, v. 29, no. 19, p. 5615-5633, https://doi.org/10.1111/gcb.16905.","productDescription":"19 p.","startPage":"5615","endPage":"5633","ipdsId":"IP-147797","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":442494,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcb.16905","text":"Publisher Index Page"},{"id":421998,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Mississippi","otherGeospatial":"Mississippi Alluvial Plain ecoregion","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.5140953224701,\n              31.05055950304515\n            ],\n            [\n              -90.8551102985312,\n              32.36507651262579\n            ],\n            [\n              -89.83254733034994,\n              33.34811466354185\n            ],\n            [\n              -89.71892922277418,\n              33.94399111104305\n            ],\n            [\n              -90.08250716701652,\n              35.020996431931664\n            ],\n            [\n              -90.25293432837982,\n              34.97445988995358\n            ],\n            [\n              -90.4347233005013,\n              34.82536524774929\n            ],\n            [\n              -90.54834140807708,\n              34.67600021318641\n            ],\n            [\n              -90.61651227262215,\n              34.376461081479576\n            ],\n            [\n              -90.76421581247044,\n              34.29202179657514\n            ],\n            [\n              -90.95736659534946,\n              34.13229367636508\n            ],\n            [\n              -91.0255374598945,\n              33.91570969239025\n            ],\n            [\n              -91.15051737822778,\n              33.54719821260997\n            ],\n            [\n              -91.11643194595524,\n              33.06291844822118\n            ],\n            [\n              -91.13915556747027,\n              32.709900045262685\n            ],\n            [\n              -90.95736659534946,\n              32.38426808119267\n            ],\n            [\n              -91.57090437625834,\n              31.361530547535793\n            ],\n            [\n              -91.6731606730759,\n              31.0213536083742\n            ],\n            [\n              -91.5140953224701,\n              31.05055950304515\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"29","issue":"19","noUsgsAuthors":false,"publicationDate":"2023-08-07","publicationStatus":"PW","contributors":{"authors":[{"text":"DeVilbiss, Stephen E.","contributorId":316291,"corporation":false,"usgs":false,"family":"DeVilbiss","given":"Stephen","email":"","middleInitial":"E.","affiliations":[{"id":36658,"text":"U.S. Department of Agriculture","active":true,"usgs":false}],"preferred":false,"id":886463,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Jason M.","contributorId":100678,"corporation":false,"usgs":true,"family":"Taylor","given":"Jason","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":886464,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hicks, Matthew B. 0000-0001-5516-0296 mhicks@usgs.gov","orcid":"https://orcid.org/0000-0001-5516-0296","contributorId":3778,"corporation":false,"usgs":true,"family":"Hicks","given":"Matthew","email":"mhicks@usgs.gov","middleInitial":"B.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":886465,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70247785,"text":"70247785 - 2023 - Validity of the Landsat surface reflectance archive for aquatic science: Implications for cloud-based analysis","interactions":[],"lastModifiedDate":"2023-11-20T17:36:37.180823","indexId":"70247785","displayToPublicDate":"2023-08-06T10:59:24","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5456,"text":"Limnology and Oceanography Letters","active":true,"publicationSubtype":{"id":10}},"title":"Validity of the Landsat surface reflectance archive for aquatic science: Implications for cloud-based analysis","docAbstract":"<p><span>Originally developed for terrestrial science and applications, the US Geological Survey Landsat surface reflectance (SR) archive spanning ~ 40 yr of observations has been increasingly utilized in large-scale water-quality studies. These products, however, have not been rigorously validated using in situ measured reflectance. This letter quantifies and demonstrates the quality of the SR products by harnessing a sizeable global dataset (</span><i>N</i><span> = 1100). We found that the Landsat 8/9 SR in the green and red bands marginally meet the targeted accuracy requirements (30%), whereas the uncertainties in the blue and coastal-aerosol bands ranged from 48% to 110%. We further observed &gt; +25% biases in the visible bands of Landsat 5/7 SR, which can introduce an apparent downward trend when applied in time-series analyses combined with Landsat 8/9. Users must exercise caution when using this archive for trend analyses, and progress in atmospheric correction is required to foster advanced applications of the Landsat archive for aquatic science.</span></p>","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lol2.10344","usgsCitation":"Maciel, D.A., Pahlevan, N., Barbosa, C.C., de Moraes de Novo, E.M., Paulino, R.S., Martins, V.S., Vermote, E., and Crawford, C., 2023, Validity of the Landsat surface reflectance archive for aquatic science: Implications for cloud-based analysis: Limnology and Oceanography Letters, v. 8, no. 6, p. 820-858, https://doi.org/10.1002/lol2.10344.","productDescription":"9 p.","startPage":"820","endPage":"858","ipdsId":"IP-149014","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":442503,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lol2.10344","text":"Publisher Index Page"},{"id":419891,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-08-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Maciel, Daniel Andrade","contributorId":328506,"corporation":false,"usgs":false,"family":"Maciel","given":"Daniel","email":"","middleInitial":"Andrade","affiliations":[{"id":78384,"text":"INPE","active":true,"usgs":false}],"preferred":false,"id":880451,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pahlevan, Nima","contributorId":328507,"corporation":false,"usgs":false,"family":"Pahlevan","given":"Nima","affiliations":[{"id":78385,"text":"NASA GSFC/ SSAI","active":true,"usgs":false}],"preferred":false,"id":880452,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbosa, Claudio Clemente Faria","contributorId":328508,"corporation":false,"usgs":false,"family":"Barbosa","given":"Claudio","email":"","middleInitial":"Clemente Faria","affiliations":[{"id":78384,"text":"INPE","active":true,"usgs":false}],"preferred":false,"id":880453,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"de Moraes de Novo, Evlyn Marcia Leao","contributorId":328509,"corporation":false,"usgs":false,"family":"de Moraes de Novo","given":"Evlyn","email":"","middleInitial":"Marcia Leao","affiliations":[{"id":78384,"text":"INPE","active":true,"usgs":false}],"preferred":false,"id":880454,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paulino, Rejane Souza","contributorId":328510,"corporation":false,"usgs":false,"family":"Paulino","given":"Rejane","email":"","middleInitial":"Souza","affiliations":[{"id":78384,"text":"INPE","active":true,"usgs":false}],"preferred":false,"id":880455,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Martins, Vitor Souza","contributorId":328511,"corporation":false,"usgs":false,"family":"Martins","given":"Vitor","email":"","middleInitial":"Souza","affiliations":[{"id":78386,"text":"Missippssii State University","active":true,"usgs":false}],"preferred":false,"id":880456,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Vermote, Eric","contributorId":328512,"corporation":false,"usgs":false,"family":"Vermote","given":"Eric","affiliations":[{"id":39055,"text":"NASA GSFC","active":true,"usgs":false}],"preferred":false,"id":880457,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":880458,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70247383,"text":"sir20235073 - 2023 - Response in the water quality of Delavan Lake, Wisconsin, to changes in phosphorus loading—Setting new goals for loading from its drainage basin","interactions":[],"lastModifiedDate":"2026-03-12T20:43:24.534885","indexId":"sir20235073","displayToPublicDate":"2023-08-03T14:21:59","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":"2023-5073","displayTitle":"Response in the Water Quality of Delavan Lake, Wisconsin, to Changes in Phosphorus Loading—Setting New Goals for Loading from its Drainage Basin","title":"Response in the water quality of Delavan Lake, Wisconsin, to changes in phosphorus loading—Setting new goals for loading from its drainage basin","docAbstract":"<p>During 1989–92, an extensive rehabilitation project was completed in and around Delavan Lake, Wisconsin, to improve the lake’s water quality. However, in 2016, the lake was listed by the Wisconsin Department of Natural Resources as impaired for excessive algal growth (high chlorophyll <i>a</i> concentrations), and high phosphorus input was listed as its likely cause. In addition, the recent (2017–21) mean summer water clarity (as measured with a Secchi disk) was shallower than the goal set by the community (3.0 meters). Based primarily on flow and water-quality data collected in Jackson Creek, which is the main tributary of the lake, the mean annual phosphorus loading to the lake during water years (WYs) 2017–21 was 6,570 kilograms per year (kg/yr), and 306 kg/yr came from uncontrollable sources (atmospheric deposition and groundwater). Phosphorus loading during these years was about 48 percent higher than the long-term mean loading from WY 1984 to WY 2021. Based on results from Canfield-Bachmann phosphorus models, Carlson trophic state index relations, and the Jones and Bachmann chlorophyll <i>a</i> relation, external phosphorus loading would need to be decreased from 6,570 to 5,270 kg/yr (a 21-percent reduction in the potentially controllable external phosphorus load from the base period of WYs 2017–21) for chlorophyll <i>a</i> concentrations greater than 20 micrograms per liter to be detected no more than 5.0 percent of the time (the Wisconsin Department of Natural Resources criterion for chlorophyll <i>a</i> impairment for the lake). Based on Carlson trophic state index relations, external loading would need to be decreased from 6,570 to 4,380 kg/yr (a 35-percent reduction in the potentially controllable external phosphorus load) for summer mean Secchi depths to increase to 3.0 meters. Therefore, for Delavan Lake to reach the water-quality criteria for impairment and the goals for all three water-quality constituents, a 35-percent reduction in the potentially controllable phosphorus load is needed, which equates to a reduction in total phosphorus loading from 6,570 to 4,380 kg/yr. A 35-percent reduction in phosphorus loading to improve the water quality of Delavan Lake is less than the 49-percent reduction in phosphorus loading required for the area near Delavan Lake to improve the water quality of the Rock River and its tributaries indicated in the Rock River total maximum daily load.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235073","collaboration":"Prepared in cooperation with the Town of Delavan and the Delavan Lake Sanitary District","usgsCitation":"Robertson, D.M., Siebers, B.J., and Fredrick, R.A., 2023, Response in the water quality of Delavan Lake, Wisconsin, to changes in phosphorus loading—Setting new goals for loading from its drainage basin: U.S. Geological Survey Scientific Investigations Report 2023–5073, 28 p., https://doi.org/10.3133/sir20235073.","productDescription":"Report: viii, 28 p.; Data Release; Dataset","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-148703","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":501038,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115123.htm","linkFileType":{"id":5,"text":"html"}},{"id":419534,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235073/full","text":"Report"},{"id":419467,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"—USGS water data for the Nation"},{"id":419466,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9H85BK0","text":"USGS data release","linkHelpText":"Eutrophication models to simulate changes in the water quality of Green Lake, Wisconsin in response to changes in phosphorus loading, with supporting water-quality data for the lake, its tributaries, and atmospheric deposition"},{"id":419465,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5073/images/"},{"id":419464,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5073/sir20235073.XML","linkFileType":{"id":8,"text":"xml"}},{"id":419463,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5073/sir20235073.pdf","text":"Report","size":"2.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5073"},{"id":419462,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5073/coverthb.jpg"}],"country":"United States","state":"Wisconsin","otherGeospatial":"Delavan Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              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Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Site</li><li>General Approach</li><li>Methods of Data Collection, Flow and Load Estimation, and Eutrophication Modeling</li><li>Lake Water Quality</li><li>Water and Phosphorus Loading to Delavan Lake</li><li>Response in Near-Surface Water Quality to Changes in Phosphorus Loading</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-08-03","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":217258,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879391,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Siebers, Benjamin J. 0000-0002-2900-5169","orcid":"https://orcid.org/0000-0002-2900-5169","contributorId":206518,"corporation":false,"usgs":true,"family":"Siebers","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879392,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fredrick, Reed A. 0000-0002-7771-0655","orcid":"https://orcid.org/0000-0002-7771-0655","contributorId":317831,"corporation":false,"usgs":true,"family":"Fredrick","given":"Reed","email":"","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879393,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70247410,"text":"sim3500 - 2023 - Estimating streambed hydraulic conductivity for selected streams in the Mississippi Alluvial Plain using continuous resistivity profiling methods—Delta region","interactions":[],"lastModifiedDate":"2026-02-19T17:47:47.386574","indexId":"sim3500","displayToPublicDate":"2023-08-03T11:07:12","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":"3500","displayTitle":"Estimating Streambed Hydraulic Conductivity for Selected Streams in the Mississippi Alluvial Plain Using Continuous Resistivity Profiling Methods—Delta Region","title":"Estimating streambed hydraulic conductivity for selected streams in the Mississippi Alluvial Plain using continuous resistivity profiling methods—Delta region","docAbstract":"<h1>Introduction</h1><p class=\"Citation\"><span>&nbsp;</span>The Mississippi Alluvial Plain is one of the most important agricultural regions in the United States, and crop productivity relies on groundwater irrigation from an aquifer system whose full capacity is unknown. Groundwater withdrawals from the Mississippi River Valley alluvial aquifer have resulted in substantial groundwater-level declines and reductions in base flow in streams within the Mississippi Alluvial Plain. These effects are limiting well production and threatening future water availability in the region.</p><p class=\"Citation\">A comprehensive assessment of water availability in the Mississippi Alluvial Plain is critically important for making well-informed management decisions about sustainability, establishing best practices for water use, and predicting changes to water levels in the Mississippi Alluvial Plain over the next 50–100 years. The first step in the new regional modeling effort was to run the existing Mississippi Embayment Regional Aquifer Study (MERAS) model and perform data-worth and uncertainty analyses to prioritize data collection efforts to improve model forecasts. Parameter estimation indicated that streambed conductance was one of the variables that the model was most sensitive to, but little data were available to constrain those general estimates.</p><p class=\"Citation\">From this characterization of the existing data, a map of the streams that the MERAS model was most sensitive to was created by the U.S. Geological Survey to guide the collection of 862 kilometers of waterborne resistivity surveys within the Delta region of Mississippi to characterize streambed lithology. This technique characterizes the streambed itself and the 15–30 meters below the streambed that control the exchange of water between the stream and the alluvial aquifer. These data can be used to map changes in the lithology of the streambed and identify areas of potential groundwater/surface-water exchange. Additionally, electrical and nuclear well logs from the study area were compared to facilitate the development of a petrophysical relation between the waterborne resistivity data and hydraulic conductivity. Resistivity values may then be used as a cost-effective way to approximate aquifer hydraulic conductivity distributions for use in regional groundwater models.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3500","issn":"2329-132X","collaboration":"Prepared in cooperation with the Arkansas Department of Health, Arkansas Game and Fish Commission, Delta Council, Delta FARM, Delta Sustainable Water Resources Task Force, Delta Wildlife HydroGeophysics Group, Aarhus University, Mississippi Department of  Environmental Quality, Mississippi State University, Missouri Department of Natural Resources, The Nature Conservancy, U.S. Army Corps of Engineers, U.S. Department of Agriculture-Agricultural Research Service, University of Arkansas, University of Mississippi, Yazoo Mississippi Delta Joint Water Management District","usgsCitation":"Adams, R.F., Miller, B.V., Kress, W.H., Minsley, B.J., and Rigby, J.R., 2023, Estimating streambed hydraulic conductivity for selected streams in the Mississippi Alluvial Plain using continuous resistivity profiling methods—Delta region: U.S. Geological Survey Scientific Investigations Map 3500, 2 sheets, https://doi.org/10.3133/sim3500.","productDescription":"2 Sheets: 45.00 x 34.25 inches and 45.00 x 34.55 inches","numberOfPages":"2","onlineOnly":"Y","ipdsId":"IP-115128","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":419523,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WQPRFB","text":"USGS—Waterborne resistivity inverted models, Mississippi Alluvial Plain, 2016–2018"},{"id":419522,"rank":3,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3500/sim3500_sheet2.pdf","size":"14.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3500 sheet 2"},{"id":419521,"rank":2,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3500/sim3500_sheet1.pdf","size":"15.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3500 sheet 1"},{"id":419520,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3500/coverthb.jpg"},{"id":500206,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115125.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arkansas, Louisiana, Mississippi","otherGeospatial":"Mississippi Alluvial Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -90,\n              35\n            ],\n            [\n              -91.25,\n              35\n            ],\n            [\n              -91.25,\n              31\n            ],\n            [\n              -90,\n              31\n            ],\n            [\n              -90,\n              35\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>For more information about this publication, contact<br><a data-mce-href=\"mailto:gs-w-lmg_center_director@usgs.gov\" href=\"mailto:gs-w-lmg_center_director@usgs.gov\">Director, Lower Mississippi-Gulf Water Science Center</a></p><p>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211</p><p>For additional information, visit<br><a href=\"https://www.usgs.gov/centers/lmg-water/\" data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\">https://www.usgs.gov/centers/lmg-water/</a></p><div class=\"elementToProof\"><a data-mce-href=\"../contact\" href=\"../contact\">Contact Pubs Warehouse</a></div>","tableOfContents":"<ul><li>Introduction</li><li>Surficial Geology</li><li>Methods</li><li>Waterborne Resistivity</li><li>Estimated Hydraulic Conductivity</li><li>Figure Annotations</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2023-08-03","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Adams, Ryan F. 0000-0001-7299-329X rfadams@usgs.gov","orcid":"https://orcid.org/0000-0001-7299-329X","contributorId":5499,"corporation":false,"usgs":true,"family":"Adams","given":"Ryan","email":"rfadams@usgs.gov","middleInitial":"F.","affiliations":[{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Benjamin 0000-0003-4795-3442 bvmiller@usgs.gov","orcid":"https://orcid.org/0000-0003-4795-3442","contributorId":197345,"corporation":false,"usgs":true,"family":"Miller","given":"Benjamin","email":"bvmiller@usgs.gov","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kress, Wade H. 0000-0002-6833-028X wkress@usgs.gov","orcid":"https://orcid.org/0000-0002-6833-028X","contributorId":1576,"corporation":false,"usgs":true,"family":"Kress","given":"Wade","email":"wkress@usgs.gov","middleInitial":"H.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":879483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rigby, James R. 0000-0002-5611-6307","orcid":"https://orcid.org/0000-0002-5611-6307","contributorId":196374,"corporation":false,"usgs":false,"family":"Rigby","given":"James R.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":false,"id":879484,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70258173,"text":"70258173 - 2023 - Urban stream restorations increase floodplain soil carbon and nutrient retention along a chronosequence","interactions":[],"lastModifiedDate":"2024-09-06T14:28:58.738211","indexId":"70258173","displayToPublicDate":"2023-08-03T09:24:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1454,"text":"Ecological Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Urban stream restorations increase floodplain soil carbon and nutrient retention along a chronosequence","docAbstract":"<p><span>Stream restoration is a common management practice to meet regulatory or voluntary efforts to improve water quality via nutrient and carbon (C) retention, including in the Chesapeake Bay watershed. However, most restoration projects have few quantifiable measures of project success, no standard metrics, and rarely collect pre-restoration data. Storage of nutrients, such as phosphorus (P) and nitrogen (N), in floodplain soils of restored streams can act as an easily quantifiable indicator of restoration success, particularly when the project goals include improved water quality. To determine how floodplains of restored streams change in their P and C storage as time since restoration increases, floodplain surficial soil samples (10&nbsp;cm depth) were collected from 18 streams in the urbanized Piedmont region of northern Virginia, representing a chronosequence of time (1–10+ yrs.) since restoration as well as unrestored streams with high impervious surface cover (ISC) and unrestored streams with low ISC. The samples were analyzed for total carbon (TC), total nitrogen (TN) and total phosphorus (TP) storage, whereas C turnover rate and equilibrium phosphorus concentration (EPC</span><sub>0</sub><span>) were measured as metrics of C and P loss. These metrics were compared to time since restoration and potential environmental drivers, including soil moisture, pH, median particle size (D50), organic matter content (OM), and bioavailable P, iron (Fe), and aluminum (Al). These stream restorations demonstrated increasing nutrient storage for TC, TN, and TP along the chronosequence to values greater than both unrestored or reference streams, as well as decreasing C turnover and no significant changes in EPC</span><sub>0</sub><span>. Soil wetness and OM, key drivers in nutrient retention, also increased as restoration projects aged increasing C, N, and P storage. Overall, stream restoration did improve soil C, N, and P retention in floodplains as compared to unrestored sites and exceeded those of low ISC ‘reference’ sites.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecoleng.2023.107063","usgsCitation":"Napora, K.N., Noe, G.E., Ahn, C., and Fellows, M.Q., 2023, Urban stream restorations increase floodplain soil carbon and nutrient retention along a chronosequence: Ecological Engineering, v. 195, 107063, 12 p., https://doi.org/10.1016/j.ecoleng.2023.107063.","productDescription":"107063, 12 p.","ipdsId":"IP-148353","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":442515,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ecoleng.2023.107063","text":"Publisher Index Page"},{"id":433549,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Katrina Nicole 0000-0002-1837-4292","orcid":"https://orcid.org/0000-0002-1837-4292","contributorId":305723,"corporation":false,"usgs":true,"family":"Napora","given":"Katrina","email":"","middleInitial":"Nicole","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":912477,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":912478,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ahn, Changwoo","contributorId":191303,"corporation":false,"usgs":false,"family":"Ahn","given":"Changwoo","email":"","affiliations":[],"preferred":false,"id":912479,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fellows, Meghan Q.N.","contributorId":343963,"corporation":false,"usgs":false,"family":"Fellows","given":"Meghan","email":"","middleInitial":"Q.N.","affiliations":[{"id":82267,"text":"Fairfax County DWPES; Delaware Center for the Inland Bays","active":true,"usgs":false}],"preferred":false,"id":912480,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70247687,"text":"70247687 - 2023 - Development and application of a qPCR-based genotyping assay for Ophidiomyces ophidiicola to investigate the epidemiology of ophidiomycosis","interactions":[],"lastModifiedDate":"2023-08-11T13:48:29.667034","indexId":"70247687","displayToPublicDate":"2023-08-03T08:45:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Development and application of a qPCR-based genotyping assay for <i>Ophidiomyces ophidiicola</i> to investigate the epidemiology of ophidiomycosis","title":"Development and application of a qPCR-based genotyping assay for Ophidiomyces ophidiicola to investigate the epidemiology of ophidiomycosis","docAbstract":"<p><span>Ophidiomycosis (snake fungal disease) is an infectious disease caused by the fungus&nbsp;</span><i>Ophidiomyces ophidiicola</i><span>&nbsp;to which all snake species appear to be susceptible. Significant variation has been observed in clinical presentation, progression of disease, and response to treatment, which may be due to genetic variation in the causative agent. Recent phylogenetic analysis based on whole-genome sequencing identified that&nbsp;</span><i>O</i><span>.&nbsp;</span><i>ophidiicola</i><span>&nbsp;strains from the United States formed a clade distinct from European strains, and that multiple clonal lineages of the clade are present in the United States. The purpose of this study was to design a qPCR-based genotyping assay for&nbsp;</span><i>O</i><span>.&nbsp;</span><i>ophidiicola</i><span>, then apply that assay to swab-extracted DNA samples to investigate whether the multiple&nbsp;</span><i>O</i><span>.&nbsp;</span><i>ophidiicola</i><span>&nbsp;clades and clonal lineages in the United States have specific geographic, taxonomic, or temporal predilections. To this end, six full genome sequences of&nbsp;</span><i>O</i><span>.&nbsp;</span><i>ophidiicola</i><span>&nbsp;representing different clades and clonal lineages were aligned to identify genomic areas shared between subsets of the isolates. Eleven hydrolysis-based Taqman primer-probe sets were designed to amplify selected gene segments and produce unique amplification patterns for each isolate, each with a limit of detection of 10 or fewer copies of the target sequence and an amplification efficiency of 90–110%. The qPCR-based approach was validated using samples from strains known to belong to specific clades and applied to swab-extracted&nbsp;</span><i>O</i><span>.&nbsp;</span><i>ophidiicola</i><span>&nbsp;DNA samples from multiple snake species, states, and years. When compared to full-genome sequencing, the qPCR-based genotyping assay assigned 75% of samples to the same major clade (Cohen’s kappa = 0.360, 95% Confidence Interval = 0.154–0.567) with 67–77% sensitivity and 88–100% specificity, depending on clade/clonal lineage. Swab-extracted&nbsp;</span><i>O</i><span>.&nbsp;</span><i>ophidiicola</i><span>&nbsp;DNA samples from across the United States were assigned to six different clonal lineages, including four of the six established lineages and two newly defined groups, which likely represent recombinant strains of&nbsp;</span><i>O</i><span>.&nbsp;</span><i>ophidiicola</i><span>. Using multinomial logistic regression modeling to predict clade based on snake taxonomic group, state of origin, and year of collection, state was the most significant predictor of clonal lineage. Furthermore, clonal lineage was not associated with disease severity in the most intensely sampled species, the Lake Erie watersnake (</span><i>Nerodia sipedon insularum</i><span>). Overall, this assay represents a rapid, cost-effective genotyping method for&nbsp;</span><i>O</i><span>.&nbsp;</span><i>ophidiicola</i><span>&nbsp;that can be used to better understand the epidemiology of ophidiomycosis.</span></p>","language":"English","publisher":"PLOS","doi":"10.1371/journal.pone.0289159","usgsCitation":"Haynes, E., Lorch, J., and Allender, M.C., 2023, Development and application of a qPCR-based genotyping assay for Ophidiomyces ophidiicola to investigate the epidemiology of ophidiomycosis: PLoS ONE, v. 18, no. 8, e0289159, 24 p., https://doi.org/10.1371/journal.pone.0289159.","productDescription":"e0289159, 24 p.","ipdsId":"IP-153457","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":442520,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0289159","text":"Publisher Index Page"},{"id":419734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"18","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Haynes, Ellen","contributorId":302417,"corporation":false,"usgs":false,"family":"Haynes","given":"Ellen","email":"","affiliations":[{"id":65476,"text":"Southeastern Cooperative Wildlife Disease Study, University of Georgia","active":true,"usgs":false}],"preferred":false,"id":880033,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorch, Jeffrey M. 0000-0003-2239-1252","orcid":"https://orcid.org/0000-0003-2239-1252","contributorId":260164,"corporation":false,"usgs":true,"family":"Lorch","given":"Jeffrey M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":880034,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allender, Matthew C.","contributorId":192522,"corporation":false,"usgs":false,"family":"Allender","given":"Matthew","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":880035,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70247411,"text":"70247411 - 2023 - Acoustic ducting by shelf water streamers at the New England shelfbreak","interactions":[],"lastModifiedDate":"2023-08-03T12:54:41.763999","indexId":"70247411","displayToPublicDate":"2023-08-03T07:49:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2516,"text":"Journal of the Acoustical Society of America","active":true,"publicationSubtype":{"id":10}},"title":"Acoustic ducting by shelf water streamers at the New England shelfbreak","docAbstract":"Greater sound speed variability has been observed at the New England shelfbreak due to a greater influence from the Gulf Stream with increased meander amplitudes and frequency of Warm Core Ring (WCR) generation. Consequently, underwater sound propagation in the area also becomes more variable. This paper presents field observations of an acoustic near-surface ducting condition induced by shelf water streamers that are related to WCRs. The field observations also reveal the subsequent disappearance of the streamer duct due to the passage of a WCR filament. These two water column conditions are investigated with sound propagation measurements and numerical simulations.","language":"English","publisher":"Acoustic Society of America","doi":"10.1121/10.0020348","usgsCitation":"Johnson, J.J., Lin, Y., Newhall, A.E., Gawarkiewicz, G.G., Knobles, D.P., Chaytor, J., and Hodgkiss, W.S., 2023, Acoustic ducting by shelf water streamers at the New England shelfbreak: Journal of the Acoustical Society of America, v. 3, no. 8, 086001, 5 p., https://doi.org/10.1121/10.0020348.","productDescription":"086001, 5 p.","ipdsId":"IP-153459","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":442524,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1121/10.0020348","text":"Publisher Index Page"},{"id":419519,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic Ocean, New England Shelfbreak","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.72163486449571,\n              40.4356059866395\n            ],\n            [\n              -71.72163486449571,\n              38.855695682076686\n            ],\n            [\n              -69.3855434397284,\n              38.855695682076686\n            ],\n            [\n              -69.3855434397284,\n              40.4356059866395\n            ],\n            [\n              -71.72163486449571,\n              40.4356059866395\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Jennifer J.","contributorId":317851,"corporation":false,"usgs":false,"family":"Johnson","given":"Jennifer","email":"","middleInitial":"J.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":879485,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lin, Ying-Tsong","contributorId":302804,"corporation":false,"usgs":false,"family":"Lin","given":"Ying-Tsong","email":"","affiliations":[],"preferred":false,"id":879486,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Newhall, Arthur E.","contributorId":317852,"corporation":false,"usgs":false,"family":"Newhall","given":"Arthur","email":"","middleInitial":"E.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":879487,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gawarkiewicz, Glen G.","contributorId":317853,"corporation":false,"usgs":false,"family":"Gawarkiewicz","given":"Glen","email":"","middleInitial":"G.","affiliations":[{"id":36711,"text":"Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":879488,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Knobles, David P.","contributorId":218392,"corporation":false,"usgs":false,"family":"Knobles","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":879489,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chaytor, Jason 0000-0001-8135-8677 jchaytor@usgs.gov","orcid":"https://orcid.org/0000-0001-8135-8677","contributorId":140095,"corporation":false,"usgs":true,"family":"Chaytor","given":"Jason","email":"jchaytor@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":879490,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hodgkiss, William S..","contributorId":317854,"corporation":false,"usgs":false,"family":"Hodgkiss","given":"William","email":"","middleInitial":"S..","affiliations":[{"id":34004,"text":"Scripps Institute of Oceanography","active":true,"usgs":false}],"preferred":false,"id":879491,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70247871,"text":"70247871 - 2023 - Long short-term memory models to quantify long-term evolution of streamflow discharge and groundwater depth in Alabama","interactions":[],"lastModifiedDate":"2023-08-22T12:27:46.269762","indexId":"70247871","displayToPublicDate":"2023-08-03T07:25:16","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Long short-term memory models to quantify long-term evolution of streamflow discharge and groundwater depth in Alabama","docAbstract":"<div id=\"ab0005\" class=\"abstract author\" lang=\"en\"><div id=\"as0005\"><p id=\"sp0070\"><span>Long short-term memory (LSTM) models have been shown to be efficient for rainfall-runoff modeling, and to a lesser extent, for groundwater depth forecasting. In this study, LSTMs were applied to quantify the spatiotemporal evolution of surface and subsurface&nbsp;hydrographs&nbsp;in Alabama in the Southeastern United States, where water sustainability has not been fully quantified across spatiotemporal scales. First, the surface water LSTM model with extensive dynamic (precipitation and other weather variables) and static (basin characteristics) inputs predicted the main characteristics of&nbsp;</span>streamflow<span>&nbsp;</span>for six years at 19 gauged basins in Alabama. The model tended to underestimate extremely high streamflow but adding drainage density as an input feature slightly improved the predictions of extreme events. Second, to predict the groundwater depth evolution, a groundwater LSTM (GW-LSTM) model was proposed and applied using static inputs capturing the aquifers' hydrogeological properties and dynamic inputs of meteorological information. Three precipitation scenarios were also explored to evaluate the groundwater hydrograph evolution in the next two decades. The GW-LSTM model predicted the general trend of daily groundwater depth fluctuations (at 21 wells distributed across Alabama from 1990 to 2021) including most extremely high groundwater levels, and recovered groundwater depth for locations withheld from model training and validation. This study, therefore, extended the application of LSTMs in quantifying the spatiotemporal evolution of surface water and groundwater, two manifestations of a single integrated resource.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.165884","usgsCitation":"Gholizadeh, H., Zhang, Y., Frame, J., Gu, X., and Green, C., 2023, Long short-term memory models to quantify long-term evolution of streamflow discharge and groundwater depth in Alabama: Science of the Total Environment, v. 901, 165884, 12 p., https://doi.org/10.1016/j.scitotenv.2023.165884.","productDescription":"165884, 12 p.","ipdsId":"IP-151022","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":420009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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 \"}}]}","volume":"901","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gholizadeh, Hossein 0000-0001-6221-7457","orcid":"https://orcid.org/0000-0001-6221-7457","contributorId":328624,"corporation":false,"usgs":false,"family":"Gholizadeh","given":"Hossein","email":"","affiliations":[{"id":78426,"text":"University of Alabama, Tuscaloosa Alabama","active":true,"usgs":false}],"preferred":false,"id":880806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Yong","contributorId":214040,"corporation":false,"usgs":false,"family":"Zhang","given":"Yong","email":"","affiliations":[{"id":16675,"text":"U Alabama","active":true,"usgs":false}],"preferred":false,"id":880807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Frame, Jonathan 0000-0002-2533-3843","orcid":"https://orcid.org/0000-0002-2533-3843","contributorId":328625,"corporation":false,"usgs":false,"family":"Frame","given":"Jonathan","email":"","affiliations":[{"id":78427,"text":"Floodbase, New York City, New York","active":true,"usgs":false}],"preferred":false,"id":880808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gu, Xiufen 0000-0002-6043-6610","orcid":"https://orcid.org/0000-0002-6043-6610","contributorId":328626,"corporation":false,"usgs":false,"family":"Gu","given":"Xiufen","email":"","affiliations":[{"id":78428,"text":"Yantai University, Yantai, Shandong, China","active":true,"usgs":false}],"preferred":false,"id":880809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Green, Christopher 0000-0002-6480-8194","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":201642,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":880810,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70247433,"text":"70247433 - 2023 - Resilience of riparian vegetation productivity to early 21st century drought in northern California, USA","interactions":[],"lastModifiedDate":"2023-08-07T12:13:27.955306","indexId":"70247433","displayToPublicDate":"2023-08-03T07:10:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Resilience of riparian vegetation productivity to early 21st century drought in northern California, USA","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Drought and intensive land use can interact as stressors on riparian vegetation, especially along rivers flowing through seasonally dry landscapes. Knowledge of past riparian vegetation response to drought and land use change can provide land managers with a better understanding of changes induced by upstream management actions, climate change, and chronic stressors. To investigate the response of riparian vegetation productivity to drought and land use, we developed a 21-year time series (2000–2020) of growing season vegetation dynamics using near-infrared reflectance of vegetation (NIR<sub>V</sub>) derived from satellite data across 30 watershed subbasins that drain into the San Francisco Bay Delta in central California, USA. We observed a strong response of riparian vegetation to drought, but rapid recovery and very few long-term declines in productivity. At a local level, vegetation communities' response to drought and post-drought productivity dynamics were highly variable across biophysical settings and land use gradients. Most of the riparian areas with long-term declines in NIR<sub>V</sub><span>&nbsp;</span>were located in the lower elevation Coast Range on the western side of the study area where there is little to no water engineering or agricultural irrigation runoff to subsidize riparian vegetation. Riparian areas with the greatest long-term increase were along rivers draining the higher elevation Sierra Nevada range to the east. Our results suggest that river systems with a high proportion of water originating as snowmelt may be more buffered against long-term drought-driven declines in productivity than those dependent exclusively on winter rainfall. The long-term increase in NIR<sub>V</sub><span>&nbsp;</span>in the vast majority of riparian areas within our study area may also have been driven in part by increasing atmospheric CO<sub>2</sub><span>&nbsp;</span>concentrations, which have been shown to increase plant water use efficiency.</p></div></div>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4638","usgsCitation":"Selmants, P., Conrad, C.R., Wilson, T., and Villarreal, M.L., 2023, Resilience of riparian vegetation productivity to early 21st century drought in northern California, USA: Ecosphere, v. 14, no. 8, e4638, 10 p., https://doi.org/10.1002/ecs2.4638.","productDescription":"e4638, 10 p.","ipdsId":"IP-144817","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":442533,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4638","text":"Publisher Index Page"},{"id":435233,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PT6DYC","text":"USGS data release","linkHelpText":"Spatial data of California riparian vegetation productivity trends over time (2000-2020) and environmental covariates"},{"id":419557,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.31024648927419,\n              38.451960956521106\n            ],\n            [\n              -122.17846709209289,\n              38.107140456611035\n            ],\n            [\n              -121.60742303764215,\n              37.34278608643963\n            ],\n            [\n              -120.8167466545559,\n              36.32322872629197\n            ],\n            [\n              -119.49895268274545,\n              35.218415938114646\n            ],\n            [\n              -118.7082762996592,\n              35.14661192090209\n            ],\n            [\n              -118.7082762996592,\n              36.146072780960196\n            ],\n            [\n              -119.63073207992679,\n              37.621645541592656\n            ],\n            [\n              -120.46533492873961,\n              38.93195341540286\n            ],\n            [\n              -121.51957010618794,\n              40.28554472076502\n            ],\n            [\n              -122.17846709209289,\n              40.88600356913588\n            ],\n            [\n              -123.10092287236046,\n              40.4862965568405\n            ],\n            [\n              -122.83736407799836,\n              39.340807940338664\n            ],\n            [\n              -122.31024648927419,\n              38.451960956521106\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"14","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Selmants, Paul 0000-0001-6211-3957 pselmants@usgs.gov","orcid":"https://orcid.org/0000-0001-6211-3957","contributorId":192591,"corporation":false,"usgs":true,"family":"Selmants","given":"Paul","email":"pselmants@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":879604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Conrad, Caroline Rose 0000-0002-0496-8081","orcid":"https://orcid.org/0000-0002-0496-8081","contributorId":236945,"corporation":false,"usgs":true,"family":"Conrad","given":"Caroline","email":"","middleInitial":"Rose","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":879605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Tamara 0000-0001-7399-7532 tswilson@usgs.gov","orcid":"https://orcid.org/0000-0001-7399-7532","contributorId":2975,"corporation":false,"usgs":true,"family":"Wilson","given":"Tamara","email":"tswilson@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":879606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":879607,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70247479,"text":"70247479 - 2023 - Toxic algae in inland waters of the conterminous United States—A review and synthesis","interactions":[],"lastModifiedDate":"2023-08-09T11:58:20.763769","indexId":"70247479","displayToPublicDate":"2023-08-03T06:54:51","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Toxic algae in inland waters of the conterminous United States—A review and synthesis","docAbstract":"<div class=\"html-p\">Cyanobacteria are the most common toxigenic algae in inland waters. Their toxins can affect the health of aquatic and terrestrial organisms, including humans. Other algal groups, such as haptophytes (e.g.,<span>&nbsp;</span><span class=\"html-italic\">Prymnesium parvum</span>) and euglenoids (e.g.,<span>&nbsp;</span><span class=\"html-italic\">Euglena sanguinea</span>), can also form harmful algal blooms (HABs) whose toxins cause injury to aquatic biota but currently have no known effects on human health.<span>&nbsp;</span><span class=\"html-italic\">Prymnesium parvum</span>, however, is responsible for some of the worst HAB-related ecological disasters recorded in inland waters. Here, we provide an overview of the primary toxigenic algae found in U.S. inland waters: cyanobacteria (planktonic forms),<span>&nbsp;</span><span class=\"html-italic\">P. parvum</span>, and<span>&nbsp;</span><span class=\"html-italic\">E. sanguinea</span><span>&nbsp;</span>with the objective of describing their similarities and differences in the areas of HAB ecology, algal toxins, and the potential for future range expansion of HABs. A detailed account of bloom habitats and their known associations with land cover and use is provided from the perspective of water quality. This review revealed that salinity may have an influence on inland cyanobacterial blooms and cyanotoxins that had not been fully recognized previously.</div>","language":"English","publisher":"MDPI","doi":"10.3390/w15152808","usgsCitation":"Patino, R., Christensen, V., Graham, J.L., Rogosch, J.S., and Rosen, B.H., 2023, Toxic algae in inland waters of the conterminous United States—A review and synthesis: Water, v. 15, no. 15, 2808, 40 p., https://doi.org/10.3390/w15152808.","productDescription":"2808, 40 p.","ipdsId":"IP-153787","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":442537,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w15152808","text":"Publisher Index 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]\n}","volume":"15","issue":"15","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Patino, Reynaldo 0000-0002-4831-8400 r.patino@usgs.gov","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":2311,"corporation":false,"usgs":true,"family":"Patino","given":"Reynaldo","email":"r.patino@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":879827,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Christensen, Victoria 0000-0003-4166-7461","orcid":"https://orcid.org/0000-0003-4166-7461","contributorId":220548,"corporation":false,"usgs":true,"family":"Christensen","given":"Victoria","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879828,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879829,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rogosch, Jane S. 0000-0002-1748-4991","orcid":"https://orcid.org/0000-0002-1748-4991","contributorId":317717,"corporation":false,"usgs":true,"family":"Rogosch","given":"Jane","middleInitial":"S.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":879859,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosen, Barry H.","contributorId":317976,"corporation":false,"usgs":false,"family":"Rosen","given":"Barry","email":"","middleInitial":"H.","affiliations":[{"id":40458,"text":"Florida Gulf Coast University","active":true,"usgs":false}],"preferred":false,"id":879831,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70251396,"text":"70251396 - 2023 - A seasonally ice-free Arctic Ocean during the Last Interglacial","interactions":[],"lastModifiedDate":"2024-02-09T12:39:54.402651","indexId":"70251396","displayToPublicDate":"2023-08-03T06:37:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"A seasonally ice-free Arctic Ocean during the Last Interglacial","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>The extent and seasonality of Arctic sea ice during the Last Interglacial (129,000 to 115,000 years before present) is poorly known. Sediment-based reconstructions have suggested extensive ice cover in summer, while climate model outputs indicate year-round conditions in the Arctic Ocean ranging from ice free to fully ice covered. Here we use microfossil records from across the central Arctic Ocean to show that sea-ice extent was substantially reduced and summers were probably ice free. The evidence comes from high abundances of the subpolar planktic foraminifera<span>&nbsp;</span><i>Turborotalita quinqueloba</i><span>&nbsp;</span>in five newly analysed cores. The northern occurrence of this species is incompatible with perennial sea ice, which would be associated with a thick, low-salinity surface water. Instead<i>, T. quinqueloba</i>’s ecological preference implies largely ice-free surface waters with seasonally elevated levels of primary productivity. In the modern ocean, this species thrives in the Fram Strait–Barents Sea ‘Arctic–Atlantic gateway’ region, implying that the necessary Atlantic Ocean-sourced water masses shoaled towards the surface during the Last Interglacial. This process reflects the ongoing Atlantification of the Arctic Ocean, currently restricted to the Eurasian Basin. Our results establish the Last Interglacial as a prime analogue for studying a seasonally ice-free Arctic Ocean, expected to occur this century.</p></div></div>","language":"English","publisher":"Nature","doi":"10.1038/s41561-023-01227-x","usgsCitation":"Vermassen, F., O’Regan, M., de Boer, A., Schenk, F., Razmjooei, M., West, G., Cronin, T.M., Jakobsson, M., and Coxall, H., 2023, A seasonally ice-free Arctic Ocean during the Last Interglacial: Nature Geoscience, v. 16, no. 8, p. 723-729, https://doi.org/10.1038/s41561-023-01227-x.","productDescription":"7 p.","startPage":"723","endPage":"729","ipdsId":"IP-142032","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":467099,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41561-023-01227-x","text":"Publisher Index Page"},{"id":425531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":425519,"type":{"id":15,"text":"Index Page"},"url":"https://doi.org/10.1038/s41561-023-01227-x"}],"volume":"16","issue":"8","noUsgsAuthors":false,"publicationDate":"2023-08-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Vermassen, Flor","contributorId":268317,"corporation":false,"usgs":false,"family":"Vermassen","given":"Flor","email":"","affiliations":[],"preferred":false,"id":894410,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Regan, Matt","contributorId":197135,"corporation":false,"usgs":false,"family":"O’Regan","given":"Matt","email":"","affiliations":[{"id":25421,"text":"Department of Geological Sciences, Stockholm University, Sweden","active":true,"usgs":false}],"preferred":false,"id":894411,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Boer, Agatha","contributorId":197129,"corporation":false,"usgs":false,"family":"de Boer","given":"Agatha","email":"","affiliations":[],"preferred":false,"id":894412,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schenk, Freederik","contributorId":333963,"corporation":false,"usgs":false,"family":"Schenk","given":"Freederik","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":894413,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Razmjooei, Mohammad","contributorId":334008,"corporation":false,"usgs":false,"family":"Razmjooei","given":"Mohammad","email":"","affiliations":[],"preferred":false,"id":894508,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"West, Gabriel","contributorId":258085,"corporation":false,"usgs":false,"family":"West","given":"Gabriel","email":"","affiliations":[],"preferred":false,"id":894414,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":894415,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jakobsson, Martin","contributorId":166854,"corporation":false,"usgs":false,"family":"Jakobsson","given":"Martin","email":"","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":894416,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Coxall, Helen","contributorId":166866,"corporation":false,"usgs":false,"family":"Coxall","given":"Helen","affiliations":[{"id":24562,"text":"Stockholm University","active":true,"usgs":false}],"preferred":false,"id":894417,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70247802,"text":"70247802 - 2023 - Evidence of population-level impacts and resiliency for Gulf of Mexico shelf taxa following the Deepwater Horizon oil spill","interactions":[],"lastModifiedDate":"2023-08-18T12:04:31.784674","indexId":"70247802","displayToPublicDate":"2023-08-02T07:00:37","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of population-level impacts and resiliency for Gulf of Mexico shelf taxa following the Deepwater Horizon oil spill","docAbstract":"<div class=\"JournalAbstract\"><p>The goal of this paper was to review the evidence of population-level impacts of the<span>&nbsp;</span><i>Deepwater Horizon</i><span>&nbsp;</span>Oil Spill (DWH) on Gulf of Mexico (GOM) continental shelf taxa, as well as evidence of resiliency following the DWH. There is considerable environmental and biological evidence that GOM shelf taxa were exposed to and suffered direct and indirect impacts of the DWH. Numerous assessments, from mesocosm studies to analysis of biopsied tissue or tissue samples from necropsied animals, revealed a constellation of physiological effects related to DWH impacts on GOM biota, some of which clearly or likely resulted in mortality. While the estimated concentrations of hydrocarbons in shelf waters and sediments were orders of magnitude lower than measured in inshore or deep GOM environments, the level of mortality observed or predicted was substantial for many shelf taxa. In some cases, such as for zooplankton, community shifts following the spill were ephemeral, likely reflecting high rates of population turnover and productivity. In other taxa, such as GOM reef fishes, impacts of the spill are confounded with other stressors, such as fishing mortality or the appearance and rapid population growth of invasive lionfish (<i>Pterois</i><span>&nbsp;</span>spp.). In yet others, such as cetaceans, modeling efforts to predict population-level effects of the DWH made conservative assumptions given the species’ protected status, which post-DWH population assessments either failed to detect or population increases were estimated. A persistent theme that emerged was the lack of precise population-level data or assessments prior to the DWH for many taxa, but even when data or assessments did exist, examining evidence of population resiliency was confounded by other stressors impacting GOM biota. Unless efforts are made to increase the resolution of the data or precision of population assessments, difficulties will likely remain in estimating the scale of population-level effects or resiliency in the case of future large-scale environmental catastrophes.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fmars.2023.1198163","usgsCitation":"Patterson, W., Robinson, K., Barnett, B., Campbell, M., Chagaris, D., Chanton, J., Daly, K., Hanisko, D., Hernandez, F., Murawski, S., Pollock, A., Portnoy, D., and Pulster, E.L., 2023, Evidence of population-level impacts and resiliency for Gulf of Mexico shelf taxa following the Deepwater Horizon oil spill: Frontiers in Marine Science, v. 10, 1198163, 20 p., https://doi.org/10.3389/fmars.2023.1198163.","productDescription":"1198163, 20 p.","ipdsId":"IP-152043","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":442553,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2023.1198163","text":"Publisher Index Page"},{"id":419923,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Gulf of Mexico","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.40204093584192,\n              25.07349178579527\n            ],\n            [\n              -80.94231213061832,\n              25.07349178579527\n            ],\n            [\n              -80.94231213061832,\n              31.58373324881407\n            ],\n            [\n              -98.40204093584192,\n              31.58373324881407\n            ],\n            [\n              -98.40204093584192,\n              25.07349178579527\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"10","noUsgsAuthors":false,"publicationDate":"2023-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Patterson, W.F.","contributorId":328523,"corporation":false,"usgs":false,"family":"Patterson","given":"W.F.","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":880502,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, K.L.","contributorId":328524,"corporation":false,"usgs":false,"family":"Robinson","given":"K.L.","email":"","affiliations":[{"id":63963,"text":"University of Louisiana","active":true,"usgs":false}],"preferred":false,"id":880503,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barnett, B.K.","contributorId":328525,"corporation":false,"usgs":false,"family":"Barnett","given":"B.K.","email":"","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":880504,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Campbell, M.","contributorId":328526,"corporation":false,"usgs":false,"family":"Campbell","given":"M.","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":880505,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chagaris, D.C.","contributorId":328527,"corporation":false,"usgs":false,"family":"Chagaris","given":"D.C.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":880506,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chanton, J. P.","contributorId":7429,"corporation":false,"usgs":false,"family":"Chanton","given":"J. P.","affiliations":[],"preferred":false,"id":880507,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Daly, K.","contributorId":328528,"corporation":false,"usgs":false,"family":"Daly","given":"K.","email":"","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":880508,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hanisko, D.","contributorId":328529,"corporation":false,"usgs":false,"family":"Hanisko","given":"D.","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":880509,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hernandez, F.","contributorId":328530,"corporation":false,"usgs":false,"family":"Hernandez","given":"F.","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":880510,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Murawski, S.A.","contributorId":328531,"corporation":false,"usgs":false,"family":"Murawski","given":"S.A.","affiliations":[{"id":7163,"text":"University of South Florida","active":true,"usgs":false}],"preferred":false,"id":880511,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Pollock, A.G.","contributorId":328532,"corporation":false,"usgs":false,"family":"Pollock","given":"A.G.","email":"","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":880512,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Portnoy, D.","contributorId":328533,"corporation":false,"usgs":false,"family":"Portnoy","given":"D.","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":880513,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Pulster, Erin L. 0000-0003-4574-8613","orcid":"https://orcid.org/0000-0003-4574-8613","contributorId":300266,"corporation":false,"usgs":true,"family":"Pulster","given":"Erin","email":"","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":880514,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70248303,"text":"70248303 - 2023 - Sacramento River nutrient change study","interactions":[],"lastModifiedDate":"2023-09-07T14:19:16.52086","indexId":"70248303","displayToPublicDate":"2023-08-01T09:12:55","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":251,"text":"Final Report","active":false,"publicationSubtype":{"id":4}},"title":"Sacramento River nutrient change study","docAbstract":"The Sacramento River Nutrient Change Study (SRiNCS) was developed with input from multiple stakeholders in the Delta Regional Monitoring Program, as well as the State Water Contractors. We tracked the effects of changes in nutrient loading resulting from a short-term wastewater hold at the Sacramento River Wastewater Treatment Plant (SRWTP). In the summer of 2019, scheduled wastewater effluent holds occurred during the Effluent Valve Replacement (EVR) project, part of the EchoWater Project upgrade at the SRWTP. During an EVR hold in early September 2019, no treated effluent entered the Sacramento River for 48 hours, creating a parcel of “without-wastewater” river water approximately 20 miles (32 km) long. We observed the magnitudes and impacts of short-term changes in nutrient loading in water with wastewater (WW+, September 10) and without wastewater (WW-, September 11 and 12) in the Sacramento River and three downstream channels: Georgiana Slough, the North Fork Mokelumne River, and the South Fork Mokelumne River","language":"English","publisher":"Delta Regional Monitoring Program","usgsCitation":"Thompson, L., Mussen, T.D., Cook, M., Nordin, J., Noss, J., Bigler, U., Ramamoorthy, S., Berg, G.M., Driscoll, S., Herrmann, C., Kimmerer, W.J., Ignoffo, T., Kraus, T.E., Fackrell, J.K., Bergamaschi, B., Guerin, M., and Rachiele, R., 2023, Sacramento River nutrient change study: Final Report, 361 p.","productDescription":"361 p.","ipdsId":"IP-141332","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":420622,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":420598,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://deltarmp.org/documents/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"California","otherGeospatial":"Sacramento River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.46352644366357,\n              38.55333162429423\n            ],\n            [\n              -121.57705399449337,\n              38.56886675443562\n            ],\n            [\n              -121.5997595046592,\n              38.282037658052445\n            ],\n            [\n              -121.69909611163519,\n              38.085718321597824\n            ],\n            [\n              -121.42379180087337,\n              38.047732047180375\n            ],\n            [\n              -121.46352644366357,\n              38.55333162429423\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Lisa","contributorId":172485,"corporation":false,"usgs":false,"family":"Thompson","given":"Lisa","affiliations":[],"preferred":false,"id":882356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mussen, Timothy D.","contributorId":329461,"corporation":false,"usgs":false,"family":"Mussen","given":"Timothy","email":"","middleInitial":"D.","affiliations":[{"id":78603,"text":"Regional San","active":true,"usgs":false}],"preferred":false,"id":882357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cook, Michael","contributorId":329462,"corporation":false,"usgs":false,"family":"Cook","given":"Michael","email":"","affiliations":[{"id":78603,"text":"Regional San","active":true,"usgs":false}],"preferred":false,"id":882358,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nordin, Justin","contributorId":329463,"corporation":false,"usgs":false,"family":"Nordin","given":"Justin","email":"","affiliations":[{"id":78603,"text":"Regional San","active":true,"usgs":false}],"preferred":false,"id":882359,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noss, James","contributorId":329464,"corporation":false,"usgs":false,"family":"Noss","given":"James","email":"","affiliations":[{"id":78603,"text":"Regional San","active":true,"usgs":false}],"preferred":false,"id":882360,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bigler, Ursula","contributorId":329465,"corporation":false,"usgs":false,"family":"Bigler","given":"Ursula","email":"","affiliations":[{"id":78603,"text":"Regional San","active":true,"usgs":false}],"preferred":false,"id":882361,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ramamoorthy, Srividhya","contributorId":329466,"corporation":false,"usgs":false,"family":"Ramamoorthy","given":"Srividhya","email":"","affiliations":[{"id":78603,"text":"Regional San","active":true,"usgs":false}],"preferred":false,"id":882362,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Berg, Gry Mine","contributorId":196466,"corporation":false,"usgs":false,"family":"Berg","given":"Gry","email":"","middleInitial":"Mine","affiliations":[],"preferred":false,"id":882363,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Driscoll, Sara","contributorId":329467,"corporation":false,"usgs":false,"family":"Driscoll","given":"Sara","email":"","affiliations":[{"id":78605,"text":"Environmental Sciences Associates/Applied Marine Sciences, Inc.","active":true,"usgs":false}],"preferred":false,"id":882364,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Herrmann, Clifton","contributorId":329468,"corporation":false,"usgs":false,"family":"Herrmann","given":"Clifton","email":"","affiliations":[{"id":78605,"text":"Environmental Sciences Associates/Applied Marine Sciences, Inc.","active":true,"usgs":false}],"preferred":false,"id":882365,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kimmerer, Wim J.","contributorId":59169,"corporation":false,"usgs":false,"family":"Kimmerer","given":"Wim","email":"","middleInitial":"J.","affiliations":[{"id":6690,"text":"San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":882366,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Ignoffo, Toni","contributorId":329469,"corporation":false,"usgs":false,"family":"Ignoffo","given":"Toni","email":"","affiliations":[{"id":78606,"text":"Estuary and Ocean Science Center, San Francisco State University","active":true,"usgs":false}],"preferred":false,"id":882367,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Kraus, Tamara E. C. 0000-0002-5187-8644 tkraus@usgs.gov","orcid":"https://orcid.org/0000-0002-5187-8644","contributorId":147560,"corporation":false,"usgs":true,"family":"Kraus","given":"Tamara","email":"tkraus@usgs.gov","middleInitial":"E. C.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":882368,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fackrell, Joseph K. 0000-0001-8148-3734","orcid":"https://orcid.org/0000-0001-8148-3734","contributorId":225515,"corporation":false,"usgs":true,"family":"Fackrell","given":"Joseph","email":"","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":882369,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Bergamaschi, Brian 0000-0003-2876-0485 bbergama@usgs.gov","orcid":"https://orcid.org/0000-0003-2876-0485","contributorId":329470,"corporation":false,"usgs":true,"family":"Bergamaschi","given":"Brian","email":"bbergama@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":882370,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Guerin, Marianne","contributorId":147561,"corporation":false,"usgs":false,"family":"Guerin","given":"Marianne","email":"","affiliations":[{"id":16871,"text":"Resource Management Associates","active":true,"usgs":false}],"preferred":false,"id":882371,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Rachiele, Richard","contributorId":329471,"corporation":false,"usgs":false,"family":"Rachiele","given":"Richard","email":"","affiliations":[{"id":16871,"text":"Resource Management Associates","active":true,"usgs":false}],"preferred":false,"id":882372,"contributorType":{"id":1,"text":"Authors"},"rank":17}]}}
,{"id":70257347,"text":"70257347 - 2023 - Understanding drivers of mercury in lake trout (Salvelinus namaycush), a top-predator fish in southwest Alaska's parklands","interactions":[],"lastModifiedDate":"2024-08-28T16:23:55.197568","indexId":"70257347","displayToPublicDate":"2023-08-01T09:11:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Understanding drivers of mercury in lake trout (Salvelinus namaycush), a top-predator fish in southwest Alaska's parklands","docAbstract":"<p>Mercury (Hg) is a widespread element and persistent pollutant, harmful to fish, wildlife, and humans in its organic, methylated form. The risk of Hg contamination is driven by factors that regulate Hg loading, methylation, bioaccumulation, and biomagnification. In remote locations, with infrequent access and limited data, understanding the relative importance of these factors can pose a challenge. Here, we assessed Hg concentrations in an apex predator fish species, lake trout (Salvelinus namaycush), collected from 14 lakes spanning two National Parks in southwest Alaska, U.S.A. We then examined factors associated with the variation in fish Hg concentrations using a Bayesian hierarchical model. We found that total Hg concentrations in water were consistently low among lakes (0.11–0.50 ng L− 1). Conversely, total Hg concentrations in lake trout spanned a thirty-fold range (101–3046 ng g− 1 dry weight), with median values at 7 lakes exceeding Alaska’s human consumption threshold. Model results showed that fish age and, to a lesser extent, body condition best explained variation in Hg concentration among fish within a lake, with Hg elevated in older, thinner lake trout. Other factors, including plankton methyl Hg content, fish species richness, volcano proximity, and glacier loss, best explained variation in lake trout Hg concentration among lakes. Collectively, these results provide evidence that multiple, hierarchically nested factors control fish Hg levels in these lakes. </p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2023.121678","usgsCitation":"Bartz, K.K., Hannam, M.P., Wilson, T.L., Lepak, R., Ogorek, J.M., Young, D.B., Eagles-Smith, C., and Krabbenhoft, D.P., 2023, Understanding drivers of mercury in lake trout (Salvelinus namaycush), a top-predator fish in southwest Alaska's parklands: Environmental Pollution, v. 330, 121678, 11 p., https://doi.org/10.1016/j.envpol.2023.121678.","productDescription":"121678, 11 p.","ipdsId":"IP-149237","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":442564,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envpol.2023.121678","text":"Publisher Index Page"},{"id":433253,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Katmai National Park and Preserve, Lake Clark National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -155.59006149445355,\n              60.857310763857726\n            ],\n            [\n              -155.59006149445355,\n              58.42599213711503\n            ],\n            [\n              -152.59863331288238,\n              58.42599213711503\n            ],\n            [\n              -152.59863331288238,\n              60.857310763857726\n            ],\n            [\n              -155.59006149445355,\n              60.857310763857726\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"330","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bartz, Krista K.","contributorId":200705,"corporation":false,"usgs":false,"family":"Bartz","given":"Krista","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":910037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hannam, Michael P.","contributorId":199775,"corporation":false,"usgs":false,"family":"Hannam","given":"Michael","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":910038,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Tammy L. 0000-0002-3672-8277","orcid":"https://orcid.org/0000-0002-3672-8277","contributorId":293684,"corporation":false,"usgs":true,"family":"Wilson","given":"Tammy","email":"","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":910039,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lepak, Ryan F. 0000-0003-2806-1895","orcid":"https://orcid.org/0000-0003-2806-1895","contributorId":210990,"corporation":false,"usgs":false,"family":"Lepak","given":"Ryan F.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":910040,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ogorek, Jacob M. 0000-0002-6327-0740 jmogorek@usgs.gov","orcid":"https://orcid.org/0000-0002-6327-0740","contributorId":4960,"corporation":false,"usgs":true,"family":"Ogorek","given":"Jacob","email":"jmogorek@usgs.gov","middleInitial":"M.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":910041,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Young, Daniel","contributorId":58468,"corporation":false,"usgs":false,"family":"Young","given":"Daniel","affiliations":[{"id":35763,"text":"National Park Service, Lake Clark National Park and Preserve, Port Alsworth, AK","active":true,"usgs":false}],"preferred":false,"id":910042,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":910043,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"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":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":910044,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70248244,"text":"70248244 - 2023 - The During Nearshore Event Experiment (DUNEX): A collaborative coastal community experiment to address coastal resilience","interactions":[],"lastModifiedDate":"2023-09-06T13:41:07.461467","indexId":"70248244","displayToPublicDate":"2023-08-01T08:40:03","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3385,"text":"Shore & Beach","printIssn":"0037-4237","active":true,"publicationSubtype":{"id":10}},"title":"The During Nearshore Event Experiment (DUNEX): A collaborative coastal community experiment to address coastal resilience","docAbstract":"<p><span>The During Nearshore Event Experiment (DUNEX) was a large-scale coastal field effort focused on improving understanding of during-storm nearshore processes to ultimately develop predictive technologies, engineering solutions, and actions to enhance coastal resilience. The experiments were conducted on the North Carolina coast by a multidisciplinary group of over 30 research scientists from 18 academic and federal institutions supporting over 30 graduate students and deploying over 300 instruments from 2019 to 2021. The overarching goal of DUNEX was to gather information collaboratively to improve understanding of the interactions of coastal water levels, waves, currents, beach and dune evolution, soil behavior, vegetation, and groundwater during major coastal storms that affect infrastructure, habitats, and communities. In the short term, these high-quality field measurements will lead to better understanding of during-storm processes and impacts and will enhance U.S. academic coastal research programs by providing opportunities for students to learn about field data collection and to potentially analyze data as part of their studies. Longer-term, DUNEX data and outcomes will improve the ability to predict extreme event physical processes and impacts, validate coastal processes numerical models, and improve coastal resilience strategies and communication methods for coastal communities impacted by storms. The purpose of this paper is to describe the motivation for and science goals of the experiment, how stakeholder needs led to these goals, collaborations amongst researchers, and the knowledge gained that will lead to tools to improve coastal resilience. Herein, we first describe how researchers worked with stakeholders to structure their community-driven needs into science-based requirements. Next, we summarize how federal, academic, and stakeholder researchers worked together to design and execute a multi-organizational experiment aligned with those requirements. Finally, we articulate early findings and lessons learned from the experiment. This paper does not summarize all the research findings from DUNEX, as analyses are still ongoing. An American Geophysical Union (AGU) Special Collection on Coastal Storm Research will be published in 2025 including outcomes from DUNEX research.</span></p>","language":"English","publisher":"American Shore & Beach Preservation Association (ASBPA)","doi":"10.34237/1009133","usgsCitation":"Straub, J.A., Cialone, M.A., Raubenheimer, B., Brown, J., Elko, N., and Brodie, K., 2023, The During Nearshore Event Experiment (DUNEX): A collaborative coastal community experiment to address coastal resilience: Shore & Beach, v. 91, no. 3, p. 23-29, https://doi.org/10.34237/1009133.","productDescription":"7 p.","startPage":"23","endPage":"29","ipdsId":"IP-154913","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":420560,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -75.96092024961042,\n              36.52798524878611\n            ],\n            [\n              -75.70287550901757,\n              35.7225387686793\n            ],\n            [\n              -75.58916087756994,\n              35.32743140299219\n            ],\n            [\n              -76.31955870263806,\n              34.95189496181462\n            ],\n            [\n              -76.57760344323091,\n              34.71855336952575\n            ],\n            [\n              -77.17241843849592,\n              34.682596002484786\n            ],\n            [\n              -77.95092502360447,\n              34.188407272265394\n            ],\n            [\n              -78.06901329472343,\n              33.956547416969514\n            ],\n            [\n              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]\n}","volume":"91","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-08-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Straub, Jessamin A. 0000-0001-5630-5741","orcid":"https://orcid.org/0000-0001-5630-5741","contributorId":267195,"corporation":false,"usgs":false,"family":"Straub","given":"Jessamin","email":"","middleInitial":"A.","affiliations":[{"id":55437,"text":"U.S. Army Engineer Research and Development Center, Field Research Facility, Duck, NC, USA","active":true,"usgs":false}],"preferred":false,"id":882088,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cialone, Mary A.","contributorId":329373,"corporation":false,"usgs":false,"family":"Cialone","given":"Mary","email":"","middleInitial":"A.","affiliations":[{"id":12537,"text":"USACE","active":true,"usgs":false}],"preferred":false,"id":882089,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raubenheimer, Britt","contributorId":194340,"corporation":false,"usgs":false,"family":"Raubenheimer","given":"Britt","email":"","affiliations":[],"preferred":false,"id":882090,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brown, Jenna A. 0000-0003-3137-7073","orcid":"https://orcid.org/0000-0003-3137-7073","contributorId":208564,"corporation":false,"usgs":true,"family":"Brown","given":"Jenna A.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":882091,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elko, Nicole","contributorId":287920,"corporation":false,"usgs":false,"family":"Elko","given":"Nicole","affiliations":[{"id":61663,"text":"American Shore and Beach Preservation Association","active":true,"usgs":false}],"preferred":false,"id":882092,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brodie, Katherine L.","contributorId":271224,"corporation":false,"usgs":false,"family":"Brodie","given":"Katherine L.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":882093,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70247382,"text":"sir20235083 - 2023 - Evaluation of alternative groundwater-withdrawal scenarios on water levels in Kingsbury Pond, upper Charles River Basin, eastern Massachusetts","interactions":[],"lastModifiedDate":"2026-03-12T20:58:29.716193","indexId":"sir20235083","displayToPublicDate":"2023-07-31T20:00:00","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":"2023-5083","displayTitle":"Evaluation of Alternative Groundwater-Withdrawal Scenarios on Water Levels in Kingsbury Pond, Upper Charles River Basin, Eastern Massachusetts","title":"Evaluation of alternative groundwater-withdrawal scenarios on water levels in Kingsbury Pond, upper Charles River Basin, eastern Massachusetts","docAbstract":"<p>Kingsbury Pond is a glacial kettle pond in the town of Norfolk, Massachusetts, in the Mill River Basin, which is part of the Upper Charles River Basin in eastern Massachusetts. The pond is hydraulically connected to the surrounding groundwater-flow system, and water levels in the pond fluctuate in response to recharge to the aquifer from precipitation and wastewater return flows through septic systems, to withdrawals from the aquifer at nearby wells, and to precipitation directly on the pond surface. Concerns about the effects of withdrawals on water levels in the pond prompted an investigation to better understand the hydrology of Kingsbury Pond and its response to groundwater withdrawals and to determine if withdrawals from wells in Franklin, Mass., can be modified to simultaneously reduce the effect on water levels in the pond and yet meet the water-supply demands of the Town of Franklin.</p><p>An existing, transient groundwater-flow model of the Upper Charles River Basin was modified for this study in the area near Kingsbury Pond to improve representation of the hydrologic system near the pond. The mean annual water-level altitude simulated for the pond for nonpumping conditions using the modified model is 136 feet (ft), which falls within the range of likely annual pond-altitude fluctuations of 135 to 140 ft estimated for average hydrologic conditions before the beginning of withdrawals at two nearby wells operated by the Town of Franklin (wells FR–04 and FR–05). The mean annual water-level altitude at the pond decreased by 3.8 ft to 132.2 ft for simulated mean monthly withdrawal rates at all wells within the Upper Charles River Basin from 2010 to 2019 (referred to as the baseline withdrawal condition).</p><p>A groundwater management model that links the groundwater-flow model with a mathematical optimization method was developed to evaluate the effects of three alternative groundwater-withdrawal scenarios for the Franklin public-water system on water levels in Kingsbury Pond. In the first scenario, monthly withdrawal rates at wells FR–04 and FR–05 were increased from the baseline withdrawal rates to their maximum authorized rates for all months of the year; all other Franklin wells were specified at their baseline withdrawal rates. This scenario resulted in a mean annual water-level altitude at the pond of 129.3 ft, or a mean annual decline of 6.7 ft compared with nonpumping conditions and a decline of 2.9 ft compared with baseline conditions.</p><p>The results of the second scenario showed that water levels in the pond can be increased relative to 2010–19 conditions while meeting Franklin’s 2010–19 monthly water-supply demands if withdrawals at wells FR–04 and FR–05 were shifted to other Franklin wells. In this scenario, monthly withdrawal rates at wells FR–04 and FR–05 were decreased from their baseline rates to one-third their maximum practical rates for all months of the year; increased withdrawal rates at other Franklin wells were determined by the management model. The decrease in withdrawal rates at wells FR–04 and FR–05 resulted in a mean water-level altitude at the pond of 134.1 ft, which was equivalent to a 51 percent increase (improvement) in the mean annual water level of the pond relative to the baseline condition.</p><p>A third scenario was done to determine if Franklin’s existing water-supply system has the capacity to meet the mean annual maximum permitted withdrawal rate of the system of 3.45 million gallons per day while maintaining monthly withdrawal rates at wells FR–04 and FR–05 at their 2010–19 rates and water levels in Kingsbury Pond at baseline conditions. The analysis indicated that the capacity of the system cannot meet the increased demand during some months of the year with withdrawal rates at the two wells fixed at their monthly 2010–19 rates; however, the existing system is capable of meeting about 90 percent of the maximum permitted rate (3.10 million gallons per day) by increasing withdrawal rates at other Franklin wells above their 2010–19 rates.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235083","collaboration":"Prepared in cooperation with the Massachusetts Department of Environmental Protection","usgsCitation":"Barlow, P.M., Friesz, P.J., and Barbaro, J.R., 2023, Evaluation of alternative groundwater-withdrawal scenarios on water levels in Kingsbury Pond, upper Charles River Basin, eastern Massachusetts: U.S. Geological Survey Scientific Investigations Report 2023–5083, 36 p., https://doi.org/10.3133/sir20235083.","productDescription":"Report: viii, 36 p.; Data Release","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-141684","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":501046,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115124.htm","linkFileType":{"id":5,"text":"html"}},{"id":419446,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9V49N3R","text":"USGS data release","linkHelpText":"MODFLOW–2000 and management-optimization models used to evaluate alternative groundwater-withdrawal scenarios on water levels in Kingsbury Pond, upper Charles River Basin, eastern Massachusetts"},{"id":419445,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5083/images/"},{"id":419444,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5083/sir20235083.XML"},{"id":419442,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5083/sir20235083.pdf","text":"Report","size":"3.63 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5083"},{"id":419441,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5083/coverthb.jpg"},{"id":419443,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235083/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5083"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Upper Charles River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.61642753245717,\n              42.29469041974528\n            ],\n            [\n              -71.61642753245717,\n              41.90357856449015\n            ],\n            [\n              -71.16069045053953,\n              41.90357856449015\n            ],\n            [\n              -71.16069045053953,\n              42.29469041974528\n            ],\n            [\n              -71.61642753245717,\n              42.29469041974528\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nweng@usgs.gov\" data-mce-href=\"mailto:dc_nweng@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-england-water\" data-mce-href=\"https://www.usgs.gov/centers/new-england-water\">New England Water Science Center</a><br>U.S. Geological Survey<br>10 Bearfoot Road<br>Northborough, MA 01532</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Description of Study Area</li><li>Groundwater-Flow Model</li><li>Groundwater Management Model</li><li>Evaluation of Alternative Groundwater-Withdrawal Scenarios</li><li>Limitations of Analysis</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-07-31","noUsgsAuthors":false,"publicationDate":"2023-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Barlow, Paul M. 0000-0003-4247-6456 pbarlow@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6456","contributorId":1200,"corporation":false,"usgs":true,"family":"Barlow","given":"Paul","email":"pbarlow@usgs.gov","middleInitial":"M.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":879387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friesz, Paul J. 0000-0002-4660-2336","orcid":"https://orcid.org/0000-0002-4660-2336","contributorId":216133,"corporation":false,"usgs":true,"family":"Friesz","given":"Paul J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barbaro, Jeffrey R. 0000-0002-6107-2142","orcid":"https://orcid.org/0000-0002-6107-2142","contributorId":219909,"corporation":false,"usgs":true,"family":"Barbaro","given":"Jeffrey","email":"","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":879389,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70249302,"text":"70249302 - 2023 - DNA in the water: How genetic tools are aiding the fight against invasive grass carp in Lake Erie","interactions":[],"lastModifiedDate":"2023-10-04T22:10:24.655053","indexId":"70249302","displayToPublicDate":"2023-07-31T17:08:31","publicationYear":"2023","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"title":"DNA in the water: How genetic tools are aiding the fight against invasive grass carp in Lake Erie","docAbstract":"The article describes two USGS projects that are using eDNA to help inform grass carp management in Lake Erie. The article was requested by the Ohio Water Environment Association given the relevance and interest of the issue to its members.","largerWorkTitle":"Buckeye Bulletin","language":"English","publisher":"Ohio Water Environment Association","usgsCitation":"Spear, S.F., 2023, DNA in the water: How genetic tools are aiding the fight against invasive grass carp in Lake Erie, v. 96, no. 3, p. 52-56.","productDescription":"4 p.","startPage":"52","endPage":"56","ipdsId":"IP-155297","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":421647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":421646,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://cloud.3dissue.com/214777/214887/255313/AugBB23/index.html?r=39#"}],"volume":"96","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Spear, Stephen Frank 0000-0001-8351-9382","orcid":"https://orcid.org/0000-0001-8351-9382","contributorId":293162,"corporation":false,"usgs":true,"family":"Spear","given":"Stephen","email":"","middleInitial":"Frank","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":885043,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70247421,"text":"70247421 - 2023 - Waterfowl show spatiotemporal trends in influenza A H5 and H7 infections but limited taxonomic variation","interactions":[],"lastModifiedDate":"2023-10-11T15:42:10.924708","indexId":"70247421","displayToPublicDate":"2023-07-31T07:04:42","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Waterfowl show spatiotemporal trends in influenza A H5 and H7 infections but limited taxonomic variation","docAbstract":"<p>Influenza A viruses in wild birds pose threats to the poultry industry, wild birds, and human health under certain conditions. Of particular importance are wild waterfowl, which are the primary reservoir of low pathogenicity influenza viruses that ultimately cause high pathogenicity outbreaks in poultry farms. Despite much work on the drivers of influenza A virus prevalence, the underlying viral subtype dynamics are still mostly unexplored. Nevertheless, understanding these dynamics, particularly for the agriculturally significant H5 and H7 subtypes, is important for mitigating the risk of outbreaks in domestic poultry farms. Here, using an expansive surveillance database, we take a large-scale look at the spatial, temporal, and taxonomic drivers in the prevalence of these two subtypes among influenza A positive wild waterfowl. We document spatiotemporal trends that are consistent with past work, particularly an uptick in H5 viruses in late autumn and H7 viruses in spring. Interestingly, despite large species differences in temporal trends in overall influenza A virus prevalence, we document only modest differences in the relative abundance of these two subtypes and little, if any, temporal differences among species. As such, it appears that differences in species' phenology, physiology, and behaviors that influence overall susceptibility to influenza A viruses play a much lesser role in relative susceptibility to different subtypes. Instead, species likely freely pass viruses among each other regardless of subtype. Importantly, despite the similarities among species documented here, individual species still may play important roles in moving viruses across large geographic areas or sustaining local outbreaks through their different migratory behaviors.</p>","language":"English","publisher":"Wiley","doi":"10.1002/eap.2906","usgsCitation":"Kent, C.M., Bevins, S.N., Mullinax, J.M., Sullivan, J.D., and Prosser, D., 2023, Waterfowl show spatiotemporal trends in influenza A H5 and H7 infections but limited taxonomic variation: Ecological Applications, v. 33, no. 7, e2906, 11 p., https://doi.org/10.1002/eap.2906.","productDescription":"e2906, 11 p.","ipdsId":"IP-147544","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":442588,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/eap.2906","text":"Publisher Index Page"},{"id":435237,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K4ARTI","text":"USGS data release","linkHelpText":"Predicted H5 and H7 subtype Avian Influenza Prevalence for Wild Waterfowl Species Across the Continental United States"},{"id":419539,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"7","noUsgsAuthors":false,"publicationDate":"2023-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Kent, Cody M.","contributorId":265823,"corporation":false,"usgs":false,"family":"Kent","given":"Cody","email":"","middleInitial":"M.","affiliations":[{"id":7083,"text":"University of Maryland","active":true,"usgs":false}],"preferred":false,"id":879543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bevins, Sarah N.","contributorId":212845,"corporation":false,"usgs":false,"family":"Bevins","given":"Sarah","email":"","middleInitial":"N.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":879544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mullinax, Jennifer M.","contributorId":221170,"corporation":false,"usgs":false,"family":"Mullinax","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":879545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":879546,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":879547,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70247453,"text":"70247453 - 2023 - An introduction to lesions and histology of scleractinian corals","interactions":[],"lastModifiedDate":"2023-09-06T16:35:08.177461","indexId":"70247453","displayToPublicDate":"2023-07-31T06:42:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3687,"text":"Veterinary Pathology","active":true,"publicationSubtype":{"id":10}},"title":"An introduction to lesions and histology of scleractinian corals","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>Stony corals (Scleractinia) are in the Phylum Cnidaria (cnidae referring to various types of stinging cells). They may be solitary or colonial, but all secrete an external, supporting aragonite skeleton. Large, colonial members of this phylum are responsible for the accretion of coral reefs in tropical and subtropical waters that form the foundations of the most biodiverse marine ecosystems. Coral reefs worldwide, but particularly in the Caribbean, are experiencing unprecedented levels of disease, resulting in reef degradation. Most coral diseases remain poorly described and lack clear case definitions, while the etiologies and pathogenesis are even more elusive. This introductory guide is focused on reef-building corals and describes basic gross and microscopic lesions in these corals in order to serve as an invitation to other veterinary pathologists to play a critical role in defining and advancing the field of coral pathology.</div></div></div>","language":"English","publisher":"Sage","doi":"10.1177/03009858231189289","usgsCitation":"Hawthorn, A.C., Berzins, I.K., Dennis, M., Kiupel, M., Newton, A.L., Peters, E.C., Reyes, V.A., and Work, T.M., 2023, An introduction to lesions and histology of scleractinian corals: Veterinary Pathology, v. 60, no. 5, p. 529-546, https://doi.org/10.1177/03009858231189289.","productDescription":"18 p.","startPage":"529","endPage":"546","ipdsId":"IP-150064","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":419586,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"60","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Hawthorn, Aine C. 0000-0002-8029-1383","orcid":"https://orcid.org/0000-0002-8029-1383","contributorId":292709,"corporation":false,"usgs":true,"family":"Hawthorn","given":"Aine","email":"","middleInitial":"C.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":879705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berzins, Ilze K. 0000-0001-6051-7368","orcid":"https://orcid.org/0000-0001-6051-7368","contributorId":317912,"corporation":false,"usgs":false,"family":"Berzins","given":"Ilze","email":"","middleInitial":"K.","affiliations":[{"id":69188,"text":"One Water, One Healt LLC","active":true,"usgs":false}],"preferred":false,"id":879706,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dennis, Michelle 0000-0002-9075-2032","orcid":"https://orcid.org/0000-0002-9075-2032","contributorId":310343,"corporation":false,"usgs":false,"family":"Dennis","given":"Michelle","email":"","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":879707,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kiupel, Matti 0000-0003-4429-9529","orcid":"https://orcid.org/0000-0003-4429-9529","contributorId":317913,"corporation":false,"usgs":false,"family":"Kiupel","given":"Matti","email":"","affiliations":[{"id":69189,"text":"Department of Pathobiology and Diagnostic Investigation and Michigan State University Veterinary Diagnostic Laboratory, College of Veterinary Medicine","active":true,"usgs":false}],"preferred":false,"id":879708,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newton, Alisa L.","contributorId":139294,"corporation":false,"usgs":false,"family":"Newton","given":"Alisa","email":"","middleInitial":"L.","affiliations":[{"id":6675,"text":"Wildlife Conservation Society, 301 North Willson, Bozeman, Mont","active":true,"usgs":false}],"preferred":false,"id":879709,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Peters, Esther C.","contributorId":209975,"corporation":false,"usgs":false,"family":"Peters","given":"Esther","email":"","middleInitial":"C.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":879753,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Reyes, Vicente Avila 0000-0002-4109-6518","orcid":"https://orcid.org/0000-0002-4109-6518","contributorId":317914,"corporation":false,"usgs":false,"family":"Reyes","given":"Vicente","email":"","middleInitial":"Avila","affiliations":[{"id":69190,"text":"Department of Pathology, University of Georgia, Athens","active":true,"usgs":false}],"preferred":false,"id":879710,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":879711,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70247915,"text":"70247915 - 2023 - Satellite tracking reveals use of Biscayne National Park by sea turtles tagged in multiple locations","interactions":[],"lastModifiedDate":"2023-08-29T15:21:22.255682","indexId":"70247915","displayToPublicDate":"2023-07-29T07:23:48","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5094,"text":"Regional Studies in Marine Science","onlineIssn":"2352-4855","active":true,"publicationSubtype":{"id":10}},"title":"Satellite tracking reveals use of Biscayne National Park by sea turtles tagged in multiple locations","docAbstract":"<p><span>Although historical observations date back to the 1800’s, there is little information on&nbsp;sea turtle&nbsp;occupancy within Biscayne National Park (BNP). The park is located along the Florida&nbsp;reef&nbsp;tract and is dominated by the Gulfstream, which acts as a corridor for many marine animals. Here we used satellite&nbsp;telemetry&nbsp;to determine areas of use in BNP for two species of imperiled sea turtles, loggerhead (</span><span><i>Caretta caretta</i></span><span>) and green (</span><span><i>Chelonia mydas</i></span><span>) turtles. We included data for turtles tagged between 2009–2021 at sites both within park waters and in five locations outside the park boundary; individuals were captured both in the water and on land. We tagged 60 individuals (female, n&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo is=&quot;true&quot;>=</mo></math>\"><span class=\"MJX_Assistive_MathML\">=</span></span></span><span>&nbsp;48; male, n&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo is=&quot;true&quot;>=</mo></math>\"><span class=\"MJX_Assistive_MathML\">=</span></span></span><span>&nbsp;3; immature, n&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo is=&quot;true&quot;>=</mo></math>\"><span class=\"MJX_Assistive_MathML\">=</span></span></span><span>&nbsp;9); loggerheads (n&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo is=&quot;true&quot;>=</mo></math>\"><span class=\"MJX_Assistive_MathML\">=</span></span></span><span>&nbsp;33) ranged in size from 66.2 to 109.9&nbsp;cm CCL (curved&nbsp;carapace&nbsp;length) and green turtles (n&nbsp;</span><span class=\"math\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax_SVG\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mo is=&quot;true&quot;>=</mo></math>\"><span class=\"MJX_Assistive_MathML\">=</span></span></span><span>&nbsp;27) ranged in size from 39.1 to 111.9&nbsp;cm CCL. We used behavioral switching state-space modeling (SSM) to obtain daily predicted positions for each turtle, classified turtle behavior within the park as either foraging, migration, or both foraging and migration, and summarized high-use areas for each species across all months of the year. Turtles used park waters year-round, with concentrated use of deeper waters during&nbsp;seasonal migrations. Across all 60 turtles, 21 spent their tracking time foraging within BNP boundaries and 30 used the park as part of their migratory pathway; five turtles used the park for both foraging and migration, and the remaining four had SSM points very close to the park. Loggerhead migration occurred from February through November, whereas green turtle migration was concentrated in August. Both turtle species exhibited high overlap (i.e., usage) with&nbsp;seagrass&nbsp;habitat. These findings are relevant as managers consider strategies to minimize anthropogenic impacts to resident and migratory sea turtles using park waters.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.rsma.2023.103098","usgsCitation":"Hart, K., Benscoter, A., Turner, H.M., Cherkiss, M., Crowder, A., Guzy, J.C., Roche, D., Sasso, C.R., Goodwin, G.D., and Burkholder, D.A., 2023, Satellite tracking reveals use of Biscayne National Park by sea turtles tagged in multiple locations: Regional Studies in Marine Science, v. 65, 103098, 9 p. Data Release, https://doi.org/10.1016/j.rsma.2023.103098.","productDescription":"103098, 9 p. Data Release","ipdsId":"IP-148875","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":442603,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.rsma.2023.103098","text":"Publisher Index Page"},{"id":420246,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KDAM0N","linkFileType":{"id":5,"text":"html"}},{"id":420113,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Biscayne National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -80.40612048281238,\n              25.67318683377998\n            ],\n            [\n              -80.40612048281238,\n              25.217035566727816\n            ],\n            [\n              -80.08079009602143,\n              25.217035566727816\n            ],\n            [\n              -80.08079009602143,\n              25.67318683377998\n            ],\n            [\n              -80.40612048281238,\n              25.67318683377998\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"65","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hart, Kristen 0000-0002-5257-7974","orcid":"https://orcid.org/0000-0002-5257-7974","contributorId":220333,"corporation":false,"usgs":true,"family":"Hart","given":"Kristen","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":880986,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Benscoter, Allison 0000-0003-4205-3808","orcid":"https://orcid.org/0000-0003-4205-3808","contributorId":216194,"corporation":false,"usgs":true,"family":"Benscoter","given":"Allison","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":880987,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Turner, Haley M. 0000-0002-5578-5939","orcid":"https://orcid.org/0000-0002-5578-5939","contributorId":316772,"corporation":false,"usgs":false,"family":"Turner","given":"Haley","email":"","middleInitial":"M.","affiliations":[{"id":68691,"text":"Wetland and Aquatic Research Center","active":true,"usgs":false}],"preferred":false,"id":880988,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cherkiss, Michael 0000-0002-7802-6791","orcid":"https://orcid.org/0000-0002-7802-6791","contributorId":222180,"corporation":false,"usgs":true,"family":"Cherkiss","given":"Michael","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":880989,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crowder, Andrew 0000-0001-6978-6265","orcid":"https://orcid.org/0000-0001-6978-6265","contributorId":218467,"corporation":false,"usgs":true,"family":"Crowder","given":"Andrew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":880990,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Guzy, Jacquelyn C. 0000-0003-2648-398X","orcid":"https://orcid.org/0000-0003-2648-398X","contributorId":288520,"corporation":false,"usgs":true,"family":"Guzy","given":"Jacquelyn","email":"","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":880991,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Roche, David 0000-0002-3329-2746 droche@usgs.gov","orcid":"https://orcid.org/0000-0002-3329-2746","contributorId":204332,"corporation":false,"usgs":true,"family":"Roche","given":"David","email":"droche@usgs.gov","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":880992,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sasso, Christopher R.","contributorId":296894,"corporation":false,"usgs":false,"family":"Sasso","given":"Christopher","email":"","middleInitial":"R.","affiliations":[{"id":64230,"text":"NOAA-NMFS Southwest Fisheries Science Center","active":true,"usgs":false}],"preferred":false,"id":880993,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Goodwin, Glenn D. 0000-0001-6802-9924","orcid":"https://orcid.org/0000-0001-6802-9924","contributorId":316773,"corporation":false,"usgs":false,"family":"Goodwin","given":"Glenn","email":"","middleInitial":"D.","affiliations":[{"id":13165,"text":"Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":880994,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Burkholder, Derek A. 0000-0001-6315-6932","orcid":"https://orcid.org/0000-0001-6315-6932","contributorId":289783,"corporation":false,"usgs":false,"family":"Burkholder","given":"Derek","email":"","middleInitial":"A.","affiliations":[{"id":62249,"text":"Halmos College of Natural Sciences and Oceanography, Department of Marine and Environmental Science, Nova Southeastern University","active":true,"usgs":false}],"preferred":false,"id":880995,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
]}