{"pageNumber":"242","pageRowStart":"6025","pageSize":"25","recordCount":184660,"records":[{"id":70249638,"text":"70249638 - 2023 - Dead-end hollow fiber ultrafiltration capture of environmental DNA for freshwater mussel (Unionidae) species detection with metabarcoding","interactions":[],"lastModifiedDate":"2024-02-07T17:07:37.485435","indexId":"70249638","displayToPublicDate":"2023-09-07T08:44:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"Dead-end hollow fiber ultrafiltration capture of environmental DNA for freshwater mussel (Unionidae) species detection with metabarcoding","docAbstract":"<div class=\"abstract-group  metis-abstract\"><div class=\"article-section__content en main\"><p>Insufficient water sample volumes can be a limiting factor for detecting species with environmental DNA (eDNA) from aquatic habitats. We compared detections of freshwater mussel (Unionidae) communities using large water sample volumes and dead-end hollow fiber ultrafiltration (D-HFUF or DEUF) with traditional eDNA filtration methods that use relatively small water sample volumes. Unionid species were detected in approximately 50-L D-HFUF eDNA samples with two mitochondrial DNA metabarcoding markers (COI and ND1) and compared to species detection results from eDNA captured from commonly used 1-L samples filtered with polyethersulfone (PES) filters at three lotic sites in Georgia and Missouri. Of the 431,560 COI and 1,035,472 ND1 reads from all environmental samples of both filter types that passed quality control, 95% (410,755 reads) of COI reads and 85% (883,472 reads) of ND1 reads were assigned to a unionid species. Nineteen different freshwater mussel species were detected across all D-HFUF samples, and 11 species were detected across all PES samples. Reads assigned to the genus<span>&nbsp;</span><i>Elliptio</i><span>&nbsp;</span>could not be resolved beyond the genus level with either marker. From D-HFUF samples, 15 and 16 mussel species were detected with the COI and ND1 markers, respectively. From PES samples, nine and seven species were detected with the COI and ND1 markers, respectively. More mussel species were detected at each site in D-HFUF samples than in PES samples regardless of whether results from both markers were combined or evaluated separately. Our results demonstrate the merit of further exploration and optimization of D-HFUF for capturing eDNA from high-volume water samples to facilitate detection of unionids and likely other aquatic organisms.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1002/edn3.464","usgsCitation":"McKee, A.M., Klymus, K.E., Lor, Y., Kaminski, M.H., Tajjioui, T., Johnson, N., Carroll, M., Goodson, C., and Spear, S.F., 2023, Dead-end hollow fiber ultrafiltration capture of environmental DNA for freshwater mussel (Unionidae) species detection with metabarcoding: Environmental DNA, v. 5, no. 6, p. 1148-1162, https://doi.org/10.1002/edn3.464.","productDescription":"15 p.","startPage":"1148","endPage":"1162","ipdsId":"IP-147905","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":442158,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.464","text":"Publisher Index Page"},{"id":435187,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9G9B6M2","text":"USGS data release","linkHelpText":"Environmental DNA (eDNA) Metabarcoding assessment of dead-end hollow fiber ultrafiltration (D-HFUF) and polyethylstyrene (PES) filters filtration methods on detection of freshwater mussel eDNA from Flint River and Spring Creek, Georgia and Big Piney River, Missouri"},{"id":422034,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-09-07","publicationStatus":"PW","contributors":{"authors":[{"text":"McKee, Anna M. 0000-0003-2790-5320 amckee@usgs.gov","orcid":"https://orcid.org/0000-0003-2790-5320","contributorId":166725,"corporation":false,"usgs":true,"family":"McKee","given":"Anna","email":"amckee@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":886547,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Klymus, Katy E. 0000-0002-8843-6241 kklymus@usgs.gov","orcid":"https://orcid.org/0000-0002-8843-6241","contributorId":5043,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","email":"kklymus@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":886548,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lor, Yer 0000-0002-5738-2412","orcid":"https://orcid.org/0000-0002-5738-2412","contributorId":210011,"corporation":false,"usgs":true,"family":"Lor","given":"Yer","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":886549,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kaminski, Marissa H 0000-0003-4127-8685","orcid":"https://orcid.org/0000-0003-4127-8685","contributorId":331025,"corporation":false,"usgs":true,"family":"Kaminski","given":"Marissa","email":"","middleInitial":"H","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":886550,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tajjioui, Tariq 0000-0002-0113-0451","orcid":"https://orcid.org/0000-0002-0113-0451","contributorId":215091,"corporation":false,"usgs":true,"family":"Tajjioui","given":"Tariq","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":886551,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Nathan 0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":210319,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":886552,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carroll, Matthew 0000-0001-6896-3565","orcid":"https://orcid.org/0000-0001-6896-3565","contributorId":331026,"corporation":false,"usgs":false,"family":"Carroll","given":"Matthew","email":"","affiliations":[{"id":79092,"text":"Georgia Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":886553,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Goodson, Christopher 0000-0001-9998-9813","orcid":"https://orcid.org/0000-0001-9998-9813","contributorId":331027,"corporation":false,"usgs":false,"family":"Goodson","given":"Christopher","email":"","affiliations":[{"id":79092,"text":"Georgia Department of Transportation","active":true,"usgs":false}],"preferred":false,"id":886554,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"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":886555,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70251451,"text":"70251451 - 2023 - Leveraging multimission satellite data for spatiotemporally coherent cyanoHAB monitoring","interactions":[],"lastModifiedDate":"2024-02-13T12:44:53.978846","indexId":"70251451","displayToPublicDate":"2023-09-07T06:40:23","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17157,"text":"Frontiers in Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Leveraging multimission satellite data for spatiotemporally coherent cyanoHAB monitoring","docAbstract":"<div class=\"JournalAbstract\"><p class=\"mb15\">Cyanobacteria harmful algal blooms (cyanoHABs) present a critical public health challenge for aquatic resource and public health managers. Satellite remote sensing is well-positioned to aid in the identification and mapping of cyanoHABs and their dynamics, giving freshwater resource managers a tool for both rapid and long-term protection of public health. Monitoring cyanoHABs in lakes and reservoirs with remote sensing requires robust processing techniques for generating accurate and consistent products across local and global scales at high revisit rates. We leveraged the high spatial and temporal resolution chlorophyll-a (Chl<i>a</i>) and phycocyanin (PC) maps from two multispectral satellite sensors, the Sentinel-2 (S2) MultiSpectral Instrument (MSI) and the Sentinel-3 (S3) Ocean Land Colour Instrument (OLCI) respectively, to study bloom dynamics in Utah Lake, United States, for 2018. We used established Mixture Density Networks (MDNs) to map Chl<i>a</i><span>&nbsp;</span>from MSI and train new MDNs for PC retrieval from OLCI, using the same architecture and training dataset previously proven for PC retrieval from hyperspectral imagery. Our assessment suggests lower median uncertainties and biases (i.e., 42% and -4%, respectively) than that of existing top-performing PC algorithms. Additionally, we compared bloom trends in MDN-based PC and Chl<i>a</i><span>&nbsp;</span>products to those from a satellite-derived cyanobacteria cell density estimator, the cyanobacteria index (CI-cyano), to evaluate their utility in the context of public health risk management. Our comprehensive analyses indicate increased spatiotemporal coherence of bloom magnitude, frequency, occurrence, and extent of MDN-based maps compared to CI-cyano and potential for use in cyanoHAB monitoring for public health and aquatic resource managers.</p></div>","language":"English","publisher":"Froniters","doi":"10.3389/frsen.2023.1157609","usgsCitation":"Fickas, K.C., O’Shea, R., Pahlevan, N., Smith, B., Bartlett, S., and Wolny, J.L., 2023, Leveraging multimission satellite data for spatiotemporally coherent cyanoHAB monitoring: Frontiers in Remote Sensing, v. 4, 1157609, 24 p., https://doi.org/10.3389/frsen.2023.1157609.","productDescription":"1157609, 24 p.","ipdsId":"IP-142409","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":442159,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frsen.2023.1157609","text":"Publisher Index Page"},{"id":425598,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Utah Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.10203383155128,\n              40.45613437617996\n            ],\n            [\n              -112.10203383155128,\n              39.962431675009014\n            ],\n            [\n              -111.55417471255357,\n              39.962431675009014\n            ],\n            [\n              -111.55417471255357,\n              40.45613437617996\n            ],\n            [\n              -112.10203383155128,\n              40.45613437617996\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"4","noUsgsAuthors":false,"publicationDate":"2023-09-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Fickas, Kate Colleen 0000-0002-6617-2441","orcid":"https://orcid.org/0000-0002-6617-2441","contributorId":304194,"corporation":false,"usgs":true,"family":"Fickas","given":"Kate","email":"","middleInitial":"Colleen","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":894612,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Shea, Ryan","contributorId":334049,"corporation":false,"usgs":false,"family":"O’Shea","given":"Ryan","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":894613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":894614,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Smith, Brandon","contributorId":334050,"corporation":false,"usgs":false,"family":"Smith","given":"Brandon","email":"","affiliations":[{"id":7049,"text":"NASA Goddard Space Flight Center","active":true,"usgs":false}],"preferred":false,"id":894615,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bartlett, Sarah","contributorId":190422,"corporation":false,"usgs":false,"family":"Bartlett","given":"Sarah","affiliations":[],"preferred":false,"id":894616,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wolny, Jennifer L.","contributorId":195447,"corporation":false,"usgs":false,"family":"Wolny","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":894617,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70249557,"text":"70249557 - 2023 - To remediate or not? Source identification in an acid mine drainage stream, Warden Gulch, Colorado","interactions":[],"lastModifiedDate":"2023-10-16T11:18:03.013665","indexId":"70249557","displayToPublicDate":"2023-09-07T06:14:58","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2745,"text":"Mine Water and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"To remediate or not? Source identification in an acid mine drainage stream, Warden Gulch, Colorado","docAbstract":"<div id=\"Abs1-section\" class=\"c-article-section\"><div id=\"Abs1-content\" class=\"c-article-section__content\"><p>A synoptic water quality study was implemented in Warden Gulch, a headwater stream affected by metals that are contributed by both natural and mining-impacted sources. Warden Gulch is a tributary to Peru Creek (Colorado, USA), where emplacement of a mine tunnel bulkhead and other remedial actions have improved water quality upstream of Warden Gulch. The goal of this study was to identify individual source contributions to Warden Gulch and determine if additional remedial actions were warranted. To this end, trace metal loading was quantified from various sources including an actively draining mine. Although highly concentrated waste streams from mining-impacted sites degrade water quality, natural contributions from unmined areas within the Warden Gulch watershed are the dominant sources of metal loading. Further, some mining-impacted sources are associated with diffuse groundwater inflows that may not be amenable to clean up, due to the diffuse nature of the sources and the associated cost. Mining-impacted sources that are amenable to clean up may therefore represent a small portion of the overall metal loading to Warden Gulch. Remedial measures directed at these sources may not substantially improve the water quality of Peru Creek and the larger Snake River watershed.</p></div></div><div id=\"Abs2-section\" class=\"c-article-section\"><br></div>","language":"English","publisher":"Springer","doi":"10.1007/s10230-023-00948-0","usgsCitation":"Jones, M.M., Runkel, R.L., and McKnight, D.M., 2023, To remediate or not? Source identification in an acid mine drainage stream, Warden Gulch, Colorado: Mine Water and the Environment, v. 42, p. 383-398, https://doi.org/10.1007/s10230-023-00948-0.","productDescription":"16 p.","startPage":"383","endPage":"398","ipdsId":"IP-145276","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"links":[{"id":421916,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Matthew M.","contributorId":330908,"corporation":false,"usgs":false,"family":"Jones","given":"Matthew","email":"","middleInitial":"M.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":886177,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Runkel, Robert L. 0000-0003-3220-481X runkel@usgs.gov","orcid":"https://orcid.org/0000-0003-3220-481X","contributorId":685,"corporation":false,"usgs":true,"family":"Runkel","given":"Robert","email":"runkel@usgs.gov","middleInitial":"L.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":886178,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McKnight, Diane M.","contributorId":59773,"corporation":false,"usgs":false,"family":"McKnight","given":"Diane","email":"","middleInitial":"M.","affiliations":[{"id":16833,"text":"INSTAAR, University of Colorado","active":true,"usgs":false}],"preferred":false,"id":886179,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70248279,"text":"ofr20231064 - 2023 - California State waters map series—Benthic habitat characterization in the region offshore of Morro Bay, California","interactions":[],"lastModifiedDate":"2026-02-11T21:39:00.871652","indexId":"ofr20231064","displayToPublicDate":"2023-09-06T15:22:48","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-1064","displayTitle":"California State Waters Map Series—Benthic Habitat Characterization in the Region Offshore of Morro Bay, California","title":"California State waters map series—Benthic habitat characterization in the region offshore of Morro Bay, California","docAbstract":"<p>Coastal and Marine Ecological Classification Standard geoform, substrate, and biotic component geographic information system products were developed for the California State waters of south-central California in the region offshore of Morro Bay. The study was motivated by interest in development of offshore wind-energy capacity and infrastructure in Federal waters offshore. The Bureau of Ocean Energy Management, in coordination with the State of California and many other members of the California Intergovernmental Renewable Energy Task Force, issued calls for information in 2018 for the study area offshore of Morro Bay, California. The study area is adjacent to a nuclear power plant (currently scheduled for decommissioning) with a developed electric grid connection, and in an area of high wind resource potential. The Bureau of Ocean Energy Management is the lead agency responsible for planning and leasing in the U.S. Exclusive Economic Zone and funded this project to assess baseline conditions of, and the potential effects on, the seafloor environment. This project, carried out by the U.S. Geological Survey, resulted in three data releases for individual map blocks that are part of the California State Waters Map Series: (1) Offshore of Point Estero, (2) Offshore of Morro Bay, and (3) Offshore of Point Buchon. The study area consists of 341 square kilometers (km<sup>2</sup>) of multibeam echo sounder (MBES) data acquired by Fugro, Inc., in 2010. Towed camera-sled video was acquired in 2012 to supervise the classification of the MBES data into habitats. There were 935 annotations of organisms and habitat made from 22 video transects. Using video observations of habitat as ground truth, derivatives of the MBES data were classified into 3 seafloor character types (hard-rugged, hard-flat, and soft-flat), 25 modifier groups, and 9 geoforms. The study area substrate is predominantly soft-flat sediment (mud and fine sand) covering 191.3 km<sup>2</sup> (56.1 percent) of the area. Hard-flat substrate areas, predominantly coarse sediment in scour depressions, cover 52.2 km<sup>2</sup> (15.3 percent) of the study area. The hard-rugged substrate areas are primarily outcrops of layered sedimentary bedrock and constitute 97.5 km<sup>2</sup> of the study area (28.6 percent). After classification of bathymetry and backscatter raster images according to substrate, false-positive hard areas produced by noise artifacts were removed by manual editing. Nine geoforms were then identified in the analysis. The predominant geoforms mirror the seafloor character results, shelf geoforms (flat areas covered in soft sediment), rock outcrop geoforms (hard, rugged areas), and scour depression geoforms (flat areas covered in coarse sediment formed by bottom currents).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231064","collaboration":"Prepared in cooperation with California State University Monterey Bay, University of California Santa Cruz, the Bureau of Ocean Energy Management, and the California Ocean Protection Council","usgsCitation":"Cochrane, G.R., Kvitek, R., Cole, A., Sherrier, M., Roca-Lezra, A., Hallahan, S., and Dartnell, P., 2023, California State waters map series—Benthic habitat characterization in the region offshore of Morro Bay, California: U.S. Geological Survey Open-File Report 2023–1064, 14 p., https://doi.org/10.3133/ofr20231064.","productDescription":"Report: vii, 14 p.; 3 Data Releases","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-142408","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":420580,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZSTUK1","text":"USGS Data Release","description":"Cochrane, G.R., Cole, A., Sherrier, M., and Hallahan, S., 2022, Bathymetry, backscatter intensity, and benthic habitat offshore of Point Estero, California: U.S. Geological Survey data release, https://doi.org/10.5066/P9ZSTUK1.","linkHelpText":"Bathymetry, backscatter intensity, and benthic habitat offshore of Point Estero, California"},{"id":420579,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HEZNRO","text":"USGS Data Release","description":"Cochrane, G.R., Cole, A., Sherrier, M., and Roca-Lezra, A., 2022, Bathymetry, backscatter intensity, and benthic habitat offshore of Morro Bay, California: U.S. Geological Survey data release, https://doi.org/10.5066/P9HEZNRO.","linkHelpText":"Bathymetry, backscatter intensity, and benthic habitat offshore of Morro Bay, California"},{"id":499787,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115244.htm","linkFileType":{"id":5,"text":"html"}},{"id":420582,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231064/full"},{"id":420581,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KBGELE","text":"USGS Data Release","description":"Cochrane, G.R., Cole, A., and Sherrier, M., 2022, Bathymetry, backscatter intensity, and benthic habitat offshore of Point Buchon, California: U.S. Geological Survey data release, https://doi.org/10.5066/P9KBGELE.","linkHelpText":"Bathymetry, backscatter intensity, and benthic habitat offshore of Point Buchon, California"},{"id":420575,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1064/covrthb.jpg"},{"id":420576,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1064/ofr20231064.pdf","text":"Report","size":"5 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":420577,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1064/ofr20231064.xml"},{"id":420578,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1064/images"}],"country":"United States","state":"California","otherGeospatial":"Morro Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.14748785119099,\n              35.56953868165078\n            ],\n            [\n              -121.14748785119099,\n              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PSC"},"publishedDate":"2023-09-06","noUsgsAuthors":false,"publicationDate":"2023-09-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Cochrane, Guy R. 0000-0002-8094-4583 gcochrane@usgs.gov","orcid":"https://orcid.org/0000-0002-8094-4583","contributorId":2870,"corporation":false,"usgs":true,"family":"Cochrane","given":"Guy","email":"gcochrane@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":882231,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kvitek, Rikk","contributorId":203977,"corporation":false,"usgs":false,"family":"Kvitek","given":"Rikk","affiliations":[{"id":36778,"text":"California State University at Monterey Bay","active":true,"usgs":false}],"preferred":false,"id":882232,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cole, Aaron","contributorId":214198,"corporation":false,"usgs":false,"family":"Cole","given":"Aaron","email":"","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":882233,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherrier, Meghan 0000-0002-7857-7737","orcid":"https://orcid.org/0000-0002-7857-7737","contributorId":292303,"corporation":false,"usgs":false,"family":"Sherrier","given":"Meghan","email":"","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":882234,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roca-Lezra, Alia 0000-0001-6450-3684","orcid":"https://orcid.org/0000-0001-6450-3684","contributorId":329415,"corporation":false,"usgs":false,"family":"Roca-Lezra","given":"Alia","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":true,"id":882235,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hallahan, Sean","contributorId":292304,"corporation":false,"usgs":false,"family":"Hallahan","given":"Sean","email":"","affiliations":[{"id":17620,"text":"UCSC","active":true,"usgs":false}],"preferred":false,"id":882236,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Dartnell, Peter 0000-0002-9554-729X pdartnell@usgs.gov","orcid":"https://orcid.org/0000-0002-9554-729X","contributorId":2688,"corporation":false,"usgs":true,"family":"Dartnell","given":"Peter","email":"pdartnell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":882237,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70256512,"text":"70256512 - 2023 - Lesser Prairie-chicken incubation behavior and nest success most influenced by nest vegetation structure","interactions":[],"lastModifiedDate":"2024-08-15T14:14:43.841246","indexId":"70256512","displayToPublicDate":"2023-09-06T11:11:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Lesser Prairie-chicken incubation behavior and nest success most influenced by nest vegetation structure","docAbstract":"<p><span>Incubation breaks are necessary for any nesting bird but can increase the mortality risk of the nest or attending parent. How intrinsic and extrinsic variables affect nest attentiveness—the proportion of time a female is on nest during incubation— and subsequent survival of the nest remains unclear for uniparental species. We related female nest attentiveness to nest survival and tested the effects of intrinsic and extrinsic variables on nest attentiveness by female Lesser Prairie-chickens (</span><i>Tympanuchus pallidicinctus</i><span>) using GPS locations of 87 females at 109 nest sites in 3 study areas in Kansas during 2013–2015. Daily nest survival increased by 39% when nest attentiveness increased from 21% to 98%. Female Lesser Prairie-chickens were 18% less attentive as body mass increased from 600 to 920 g. Daily precipitation and temperature, controlled for days into the incubation period, had interactive effects on nest attentiveness with nest attentiveness lowest on cool, wet days and increasing as temperature increased, regardless of precipitation (41% attentiveness at 16°C and 79 mm of precipitation to 90% attentiveness at 37°C and 41 mm of precipitation). Nest attentiveness increased by 11% as the quantity of grass at the nest site increased from 5% to 78% when visual obstruction was at 1 and 2 decimeters (dm) and increased 9% as the quantity of grass at the nest site increased from 5% to 83% when visual obstruction was at its maximum (3 dm). Our findings reveal the critical importance of nest attentiveness and incubation behavior, not only in relation to demography, but within the context of changing environmental conditions. As warmer temperatures and extreme precipitation events become more common and change the growth rates of vegetation, species like the Lesser Prairie-chicken that are ground-nesting, rely on vegetation cover, and exhibit uniparental care could experience negative demographic consequences.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/ece3.10509","usgsCitation":"Gehrt, J.M., Sullins, D., Verheijen, B., and Haukos, D.A., 2023, Lesser Prairie-chicken incubation behavior and nest success most influenced by nest vegetation structure: Ecology and Evolution, v. 13, no. 9, e10509, 12 p., https://doi.org/10.1002/ece3.10509.","productDescription":"e10509, 12 p.","ipdsId":"IP-152448","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":442163,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.10509","text":"Publisher Index Page"},{"id":432761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -102.12271341717144,\n              39.758697568480756\n            ],\n            [\n              -102.12271341717144,\n              37.008194507545156\n            ],\n            [\n              -97.49062380349912,\n              37.008194507545156\n            ],\n            [\n              -97.49062380349912,\n              39.758697568480756\n            ],\n            [\n              -102.12271341717144,\n              39.758697568480756\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-09-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Gehrt, Jacquelyn M.","contributorId":274667,"corporation":false,"usgs":false,"family":"Gehrt","given":"Jacquelyn","email":"","middleInitial":"M.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":907752,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullins, Daniel S.","contributorId":341254,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel S.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":907753,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Verheijen, Bram H. F.","contributorId":274514,"corporation":false,"usgs":false,"family":"Verheijen","given":"Bram H. F.","affiliations":[{"id":48533,"text":"ksu","active":true,"usgs":false}],"preferred":false,"id":907754,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":907755,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70247999,"text":"cir1511 - 2023 - U.S. Geological Survey science vision for native freshwater mussel research in the United States","interactions":[],"lastModifiedDate":"2023-10-17T13:27:30.861769","indexId":"cir1511","displayToPublicDate":"2023-09-06T10:45:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1511","displayTitle":"U.S. Geological Survey Science Vision for Native Freshwater Mussel Research in the United States","title":"U.S. Geological Survey science vision for native freshwater mussel research in the United States","docAbstract":"<h1>Executive Summary</h1><p>North America is a global center for native freshwater mussel (order Unionida, hereinafter “mussels”) diversity, with more than 350 species. Mussels are among the most imperiled fauna on the planet. Reasons for both local and widespread declines in mussels are mostly unknown, although the threats may include habitat loss and fragmentation, diseases, environmental contaminants, altered flow regimes, migration barriers to larval hosts, non-native species, and climate change.</p><p>Over the past three decades, research on mussels has been substantial. Nevertheless, current conservation and management efforts are limited by significant information gaps. For example, the effects of emerging stressors on mussels are largely unknown and identifying when habitats are rehabilitated and suitable for reestablishment of mussels remains challenging. Additionally, historical and current information on the distribution, taxonomy, and life histories are often unreliable or lacking altogether, and more reliable information is needed for many species.</p><p>We identified focal research themes, goals, and objectives where research on mussels is needed based on information gaps identified through conversations with resource partners across local, regional, and national organizations. Research on <strong>biodiversity</strong> seeks to enhance the diversity of mussel species and populations to support healthy aquatic ecosystems. Research on <strong>emerging stressors</strong> seeks to improve the understanding of how mussel species, populations, and communities respond to emerging stressors, including environmental contaminants and climate change. Research on <strong>conservation</strong> seeks to enhance the recovery of species and populations and to identify data gaps limiting the conservation of mussels and their habitats. Mussels are in urgent need of proactive conservation because they are an integral part of our natural heritage, enhance biodiversity, and provide vital ecological services that support freshwater ecosystems.</p><p>The U.S. Geological Survey (USGS) has been, and continues to be, a leader in mussel research. Although the USGS is well suited to address the broad-scale multidisciplinary research needed to conserve mussels, the USGS has had substantial loss of scientists with mussel expertise over the past 20 years. However, the breadth of the USGS expertise on mussels can be leveraged internally across other USGS mission and program areas and externally across research partners. Given the breadth and scope of the issues facing mussels across the United States, the research themes outlined in this science vision can only be accomplished through extensive collaborations between the USGS and the full spectrum of natural resource partners, including other Federal and State agencies, Tribal organizations, universities, industries, and nongovernmental organizations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1511","isbn":"978-1-4113-4537-9","programNote":"Ecosystems Mission Area—Species Management Research Program","usgsCitation":"Newton, T.J., Johnson, N.A., and Hu, D.H., 2023, U.S. Geological Survey science vision for native freshwater mussel research in the United States: U.S. Geological Survey Circular 1511, 15 p., https://doi.org/10.3133/cir1511.","productDescription":"vi, 15 p.","numberOfPages":"15","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-147504","costCenters":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"links":[{"id":420318,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/circ/1511/cir1511.XML"},{"id":420317,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/circ/1511/images/"},{"id":420316,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/cir1511/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"CIR 1511"},{"id":420329,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1511/cir1511.pdf","text":"Report","size":"29.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1511"},{"id":420328,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1511/coverthb.jpg"}],"contact":"<p>Program Coordinator, <a href=\"https://www.usgs.gov/programs/species-management-research-program\" data-mce-href=\"https://www.usgs.gov/programs/species-management-research-program\">Species Management Research Program</a><br>Ecosystems Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive, Mail Stop 415<br>Reston, VA 20192</p><p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"https://pubs.er.usgs.gov/contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>U.S. Geological Survey Science Vision for Native Freshwater Mussel Research</li><li>Need for Proactive Mussel Research</li><li>Science Vision Development</li><li>Focal Research Themes</li><li>Role of the U.S. Geological Survey in Mussel Conservation</li><li>U.S. Geological Survey Workforce in Mussel Conservation</li><li>Outreach and Communication</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-09-06","noUsgsAuthors":false,"publicationDate":"2023-09-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Newton, Teresa J. 0000-0001-9351-5852","orcid":"https://orcid.org/0000-0001-9351-5852","contributorId":78696,"corporation":false,"usgs":true,"family":"Newton","given":"Teresa J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":881469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Nathan A. 0000-0001-5167-1988","orcid":"https://orcid.org/0000-0001-5167-1988","contributorId":218986,"corporation":false,"usgs":true,"family":"Johnson","given":"Nathan A.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":881470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hu, David H. 0000-0002-5676-5649","orcid":"https://orcid.org/0000-0002-5676-5649","contributorId":292473,"corporation":false,"usgs":true,"family":"Hu","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true}],"preferred":true,"id":881471,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70250820,"text":"70250820 - 2023 - 3-D wave propagation simulations of Mw 6.5+ earthquakes on the Tacoma Fault, Washington state, considering the effects of topography, a geotechnical gradient, and a fault damage zone","interactions":[],"lastModifiedDate":"2024-01-08T15:59:46.001103","indexId":"70250820","displayToPublicDate":"2023-09-06T09:53:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1135,"text":"Bulletin of the Seismological Society of America","onlineIssn":"1943-3573","printIssn":"0037-1106","active":true,"publicationSubtype":{"id":10}},"title":"3-D wave propagation simulations of Mw 6.5+ earthquakes on the Tacoma Fault, Washington state, considering the effects of topography, a geotechnical gradient, and a fault damage zone","docAbstract":"<p><span>We simulate shaking in Tacoma, Washington, and surrounding areas from&nbsp;</span><span class=\"inline-formula no-formula-id\"><i>M</i><sub>w</sub></span><span>&nbsp;6.5 and 7.0 earthquakes on the Tacoma fault. Ground motions are directly modeled up to 2.5&nbsp;Hz using kinematic, finite‐fault sources; a 3D seismic velocity model considering regional geology; and a model mesh with 30&nbsp;m sampling at the ground surface. In addition, we explore how adjustments to the seismic velocity model affect predicted shaking over a range of periods. These adjustments include the addition of a region‐specific geotechnical gradient, surface topography, and a fault damage zone. We find that the simulated shaking tends to be near estimates from empirical ground‐motion models (GMMs). However, long‐period (</span><i>T</i><span>&nbsp;= 5.0&nbsp;s) shaking within the Tacoma basin is typically underpredicted by the GMMs. The fit between simulated and GMM‐derived short‐period (</span><i>T</i><span>&nbsp;= 0.5&nbsp;s) shaking is significantly improved with the addition of the geotechnical gradient. From comparing different <i>M</i></span><sub><span class=\"inline-formula no-formula-id\">w</span></sub><span><sub>&nbsp;</sub>6.5 earthquake scenarios, we also find that the response of the Tacoma basin is sensitive to the azimuth of incoming seismic waves. In adding surface topography to the simulation, we find that average ground motion is similar to that produced from the nontopography model. However, shaking is often amplified at topographic highs and deamplified at topographic lows, and the wavefield undergoes extensive scattering. Adding a fault damage zone has the effect of amplifying short‐period shaking adjacent to the fault, while reducing far‐field shaking. Intermediate‐period shaking is amplified within the Tacoma basin, likely due to enhanced surface‐wave generation attributable to the fault damage zone waveguide. When applied in the same model, the topography and fault damage zone adjustments often enhance or reduce the effects of one another, adding further complexity to the wavefield. These results emphasize the importance of improving near‐surface velocity model resolution as waveform simulations progress toward higher frequencies.</span></p>","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0120230083","usgsCitation":"Stone, I.P., Wirth, E.A., Grant, A.R., and Frankel, A.D., 2023, 3-D wave propagation simulations of Mw 6.5+ earthquakes on the Tacoma Fault, Washington state, considering the effects of topography, a geotechnical gradient, and a fault damage zone: Bulletin of the Seismological Society of America, v. 113, no. 6, p. 2519-2542, https://doi.org/10.1785/0120230083.","productDescription":"24 p.","startPage":"2519","endPage":"2542","ipdsId":"IP-151026","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":424180,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","city":"Tacoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.94849646816715,\n              47.52066759288792\n            ],\n            [\n              -122.94849646816715,\n              47.09223788435119\n            ],\n            [\n              -121.84278435348952,\n              47.09223788435119\n            ],\n            [\n              -121.84278435348952,\n              47.52066759288792\n            ],\n            [\n              -122.94849646816715,\n              47.52066759288792\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"113","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-09-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Stone, Ian P. 0000-0003-2622-2691","orcid":"https://orcid.org/0000-0003-2622-2691","contributorId":293630,"corporation":false,"usgs":true,"family":"Stone","given":"Ian","middleInitial":"P.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":891672,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wirth, Erin A. 0000-0002-8592-4442","orcid":"https://orcid.org/0000-0002-8592-4442","contributorId":207853,"corporation":false,"usgs":true,"family":"Wirth","given":"Erin","middleInitial":"A.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":891673,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grant, Alex R. 0000-0002-5096-4305","orcid":"https://orcid.org/0000-0002-5096-4305","contributorId":219066,"corporation":false,"usgs":true,"family":"Grant","given":"Alex","middleInitial":"R.","affiliations":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":891674,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frankel, Arthur D. 0000-0001-9119-6106 afrankel@usgs.gov","orcid":"https://orcid.org/0000-0001-9119-6106","contributorId":146285,"corporation":false,"usgs":true,"family":"Frankel","given":"Arthur","email":"afrankel@usgs.gov","middleInitial":"D.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":891675,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70248321,"text":"70248321 - 2023 - 2.d.7 Lake water levels","interactions":[],"lastModifiedDate":"2023-09-08T11:03:14.941233","indexId":"70248321","displayToPublicDate":"2023-09-06T09:03:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10118,"text":"Bulletin American Meteorological Society","active":true,"publicationSubtype":{"id":10}},"title":"2.d.7 Lake water levels","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"American Meteorological Society","doi":"10.1175/BAMS-D-23-0090.1","usgsCitation":"Kraemer, B.M., Dugan, H.A., La Fuente, S., and Meyer, M.F., 2023, 2.d.7 Lake water levels: Bulletin American Meteorological Society, v. 104, no. 9, p. S61-S63, https://doi.org/10.1175/BAMS-D-23-0090.1.","productDescription":"3 p.","startPage":"S61","endPage":"S63","ipdsId":"IP-150080","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":442168,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1175/bams-d-23-0090.1","text":"Publisher Index Page"},{"id":420621,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"104","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kraemer, Benjamin M.","contributorId":166829,"corporation":false,"usgs":false,"family":"Kraemer","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[{"id":24540,"text":"Center for Limnology, University of Wisconsin, Madison, Wisconsin, 53706, USA.","active":true,"usgs":false}],"preferred":false,"id":882430,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dugan, Hilary A. 0000-0003-4674-1149","orcid":"https://orcid.org/0000-0003-4674-1149","contributorId":300341,"corporation":false,"usgs":false,"family":"Dugan","given":"Hilary","email":"","middleInitial":"A.","affiliations":[{"id":18002,"text":"University of Wisconsin - Madison","active":true,"usgs":false}],"preferred":false,"id":882431,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Fuente, Sofia 0000-0002-9665-672X","orcid":"https://orcid.org/0000-0002-9665-672X","contributorId":329486,"corporation":false,"usgs":false,"family":"La Fuente","given":"Sofia","email":"","affiliations":[{"id":78609,"text":"Dundalk Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":882432,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Meyer, Michael Frederick 0000-0002-8034-9434 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8034-9434","contributorId":304191,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"Frederick","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":882433,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70248856,"text":"70248856 - 2023 - Upscaling wetland methane emissions from the FLUXNET-CH4 Eddy Covariance Network (UpCH4 v1.0): Model development, network assessment, and budget comparison","interactions":[],"lastModifiedDate":"2023-09-25T14:13:49.241689","indexId":"70248856","displayToPublicDate":"2023-09-06T08:13:10","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7751,"text":"AGU Advances","active":true,"publicationSubtype":{"id":10}},"title":"Upscaling wetland methane emissions from the FLUXNET-CH4 Eddy Covariance Network (UpCH4 v1.0): Model development, network assessment, and budget comparison","docAbstract":"<p><span>Wetlands are responsible for 20%–31% of global methane (CH</span><sub>4</sub><span>) emissions and account for a large source of uncertainty in the global CH</span><sub>4</sub><span>&nbsp;budget. Data-driven upscaling of CH</span><sub>4</sub><span>&nbsp;fluxes from eddy covariance measurements can provide new and independent bottom-up estimates of wetland CH</span><sub>4</sub><span>&nbsp;emissions. Here, we develop a six-predictor random forest upscaling model (UpCH4), trained on 119 site-years of eddy covariance CH</span><sub>4</sub><span>&nbsp;flux data from 43 freshwater wetland sites in the FLUXNET-CH4 Community Product. Network patterns in site-level annual means and mean seasonal cycles of CH</span><sub>4</sub><span>&nbsp;fluxes were reproduced accurately in tundra, boreal, and temperate regions (Nash-Sutcliffe Efficiency ∼0.52–0.63 and 0.53). UpCH4 estimated annual global wetland CH</span><sub>4</sub><span>&nbsp;emissions of 146&nbsp;±&nbsp;43 TgCH</span><sub>4</sub><span>&nbsp;y</span><sup>−1</sup><span>&nbsp;for 2001–2018 which agrees closely with current bottom-up land surface models (102–181 TgCH</span><sub>4</sub><span>&nbsp;y</span><sup>−1</sup><span>) and overlaps with top-down atmospheric inversion models (155–200 TgCH</span><sub>4</sub><span>&nbsp;y</span><sup>−1</sup><span>). However, UpCH4 diverged from both types of models in the spatial pattern and seasonal dynamics of tropical wetland emissions. We conclude that upscaling of eddy covariance CH</span><sub>4</sub><span>&nbsp;fluxes has the potential to produce realistic extra-tropical wetland CH</span><sub>4</sub><span>&nbsp;emissions estimates which will improve with more flux data. To reduce uncertainty in upscaled estimates, researchers could prioritize new wetland flux sites along humid-to-arid tropical climate gradients, from major rainforest basins (Congo, Amazon, and SE Asia), into monsoon (Bangladesh and India) and savannah regions (African Sahel) and be paired with improved knowledge of wetland extent seasonal dynamics in these regions. The monthly wetland methane products gridded at 0.25° from UpCH4 are available via ORNL DAAC (</span><a class=\"linkBehavior\" href=\"https://doi.org/10.3334/ORNLDAAC/2253\" data-mce-href=\"https://doi.org/10.3334/ORNLDAAC/2253\">https://doi.org/10.3334/ORNLDAAC/2253</a><span>).</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023AV000956","usgsCitation":"McNicol, G., Fluet-Chouinard, E., Ouyang, Z., Knox, S., Zhen, Z., Aalto, T., Bansal, S., Chang, K., Chen, M., Delwiche, K., Feron, S., Goeckede, M., Liu, J., Malhotra, A., Melton, J.R., Riley, W., Vargas, R., Yuan, K., Yang, Q., Zhu, Q., Alekseychik, P., Aurela, M., Billesbach, D., Campbell, D.I., Chen, J., Chu, H., Desai, A., Euskirchen, E., Goodrich, J., Griffis, T., Helbig, M., Hirano, T., Iwata, H., Jurasinski, G., King, J., Koebsch, F., Kolka, R., Krauss, K., Lohila, A., Ivan Mammarella, Nilson, M., Noormets, A., Oechel, W., Peichl, M., Sachs, T., Sakabe, A., Schulze, C., Sonnentag, O., Sullivan, R., Tuittila, E., Ueyama, M., Vesala, T., Ward, E., Wille, C., Wong, G.X., Zona, D., Windham-Myers, L., Poulter, B., and Jackson, R., 2023, Upscaling wetland methane emissions from the FLUXNET-CH4 Eddy Covariance Network (UpCH4 v1.0): Model development, network assessment, and budget comparison: AGU Advances, v. 4, no. 5, e2023AV000956, 24 p., https://doi.org/10.1029/2023AV000956.","productDescription":"e2023AV000956, 24 p.","ipdsId":"IP-139161","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":442175,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023av000956","text":"Publisher Index Page"},{"id":421127,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"4","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-09-06","publicationStatus":"PW","contributors":{"authors":[{"text":"McNicol, Gavin 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Agent-based models provide a method to directly link these factors in a spatially explicit framework and allow the emergence of patterns from the aggregation of individual agent actions. We adapted the Spatially-explicit Waterbird Agent-based Model Program (SWAMP), originally developed for waterfowl in central California, to simulate a basin-scale population of&nbsp;mallards&nbsp;(</span><i>A. platyrhynchos</i><span>) wintering in the Mississippi Alluvial Valley over a four-month period (November–February). Simulated agents move within the landscape, foraging on areas made available based on a probabilistic inundation status, and converting food resources to endogenous energy. The model uses a high-resolution map of eastern Arkansas waterfowl habitats and incorporates a hierarchical habitat selection system that enables mallards to relocate at increasing scales in response to changing food availability. We validated the performance of modeled mallard&nbsp;body condition&nbsp;and behavioral metrics under a range of environmental conditions against expected outcomes derived from empirical data and found that the simulation produced realistic representations of changes in flight distances, energy expenditure, lipid storage, and foraging habitat use in response to depleting food resources over time. We discuss the model's applicability as a tool to quantify waterfowl response to a range of environmental conditions and to evaluate scenarios of landscape composition and configuration in the context of waterfowl population management.</span></p></div></div></div></div><div id=\"preview-section-introduction\"><br></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ecolmodel.2023.110488","usgsCitation":"Weller, F.G., Webb, E.B., Fogenburg, S., Beatty, W., Kesler, D., Blenk, R.H., Ringelman, K.M., Miller, M.L., and Eadie, J., 2023, An agent-based model to quantify energetics, movement and habitat selection of mid-continent mallards in the Mississippi Alluvial Valley: Ecological Modelling, v. 485, 110488, https://doi.org/10.1016/j.ecolmodel.2023.110488.","productDescription":"110488","ipdsId":"IP-151506","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":442176,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://repository.lsu.edu/agrnr_pubs/679","text":"Publisher Index Page"},{"id":432333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"485","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Weller, Florian G.","contributorId":341013,"corporation":false,"usgs":false,"family":"Weller","given":"Florian","email":"","middleInitial":"G.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":907803,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907804,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fogenburg, Sean","contributorId":341014,"corporation":false,"usgs":false,"family":"Fogenburg","given":"Sean","email":"","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":907805,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beatty, William S. 0000-0003-0013-3113","orcid":"https://orcid.org/0000-0003-0013-3113","contributorId":224795,"corporation":false,"usgs":true,"family":"Beatty","given":"William S.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":907806,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kesler, Dylan","contributorId":341015,"corporation":false,"usgs":false,"family":"Kesler","given":"Dylan","affiliations":[{"id":37290,"text":"The Institute for Bird Populations","active":true,"usgs":false}],"preferred":false,"id":907807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Blenk, Robert H.","contributorId":341016,"corporation":false,"usgs":false,"family":"Blenk","given":"Robert","email":"","middleInitial":"H.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":907808,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ringelman, Kevin M.","contributorId":341017,"corporation":false,"usgs":false,"family":"Ringelman","given":"Kevin","email":"","middleInitial":"M.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":907809,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Miller, Matt L.","contributorId":341018,"corporation":false,"usgs":false,"family":"Miller","given":"Matt","email":"","middleInitial":"L.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":907810,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Eadie, John M.","contributorId":341020,"corporation":false,"usgs":false,"family":"Eadie","given":"John M.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":907811,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70260137,"text":"70260137 - 2023 - Memorial to Norman W. Ten Brink (1943–2023)","interactions":[],"lastModifiedDate":"2024-10-29T11:44:41.691242","indexId":"70260137","displayToPublicDate":"2023-09-06T06:43:26","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":899,"text":"Arctic, Antarctic, and Alpine Research","active":true,"publicationSubtype":{"id":10}},"title":"Memorial to Norman W. Ten Brink (1943–2023)","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/15230430.2023.2248844","usgsCitation":"Neal, W., Werner, A., and Waythomas, C.F., 2023, Memorial to Norman W. Ten Brink (1943–2023): Arctic, Antarctic, and Alpine Research, v. 55, no. 1, 2248844, 3 p., https://doi.org/10.1080/15230430.2023.2248844.","productDescription":"2248844, 3 p.","ipdsId":"IP-157269","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467094,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/15230430.2023.2248844","text":"Publisher Index Page"},{"id":463309,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-09-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Neal, William J.","contributorId":304957,"corporation":false,"usgs":false,"family":"Neal","given":"William J.","affiliations":[],"preferred":false,"id":917144,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Werner, Alan","contributorId":345633,"corporation":false,"usgs":false,"family":"Werner","given":"Alan","email":"","affiliations":[{"id":82665,"text":"Mt. Holyoke College","active":true,"usgs":false}],"preferred":false,"id":917145,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":917146,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70250860,"text":"70250860 - 2023 - Seasonal differences and grazing pressure alter the fate of gold nanoparticles in a microcosm experiment","interactions":[],"lastModifiedDate":"2024-01-10T16:36:51.665148","indexId":"70250860","displayToPublicDate":"2023-09-05T10:31:56","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal differences and grazing pressure alter the fate of gold nanoparticles in a microcosm experiment","docAbstract":"<p><span>Gold nanoparticles (AuNPs) are used as models to track and predict NP fates and effects in ecosystems. Previous work found that aquatic macrophytes and their associated biofilm primarily drove the fate of AuNPs within aquatic ecosystems and that seasonality was an important abiotic factor in the fate of AuNPs. Therefore, the present work aims to study if grazers, by feeding on these interfaces, modify the AuNP fate and if this is altered by seasonal fluctuations. Microcosms were dosed with 44.8 μg/L of AuNP weekly for 4 weeks and maintained in environmental chambers simulating Spring and Fall light and temperature conditions. We discovered that seasonal changes and the presence of grazers significantly altered the fate of Au. Higher temperatures in the warmer season increased dissolved organic carbon (DOC) content in the water column, leading to stabilization of Au in the water column. Additionally, snail grazing on biofilm growing on the&nbsp;</span><i>Egeria densa</i><span>&nbsp;surface led to a transfer of Au from macrophytes to the organic matter above the sediments. These results demonstrate that climate and grazers significantly impacted the fate of Au from AuNPs, highlighting the role that grazers might have in a large and biologically more complex ecosystem.</span></p>","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.3c01839","usgsCitation":"Bergemann, C.M., Avellan, A., Perrotta, B.G., Bernhardt, E.S., and Simonin, M., 2023, Seasonal differences and grazing pressure alter the fate of gold nanoparticles in a microcosm experiment: Environmental Science & Technology, v. 57, no. 37, p. 13970-13979, https://doi.org/10.1021/acs.est.3c01839.","productDescription":"10 p.","startPage":"13970","endPage":"13979","ipdsId":"IP-155275","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":442179,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://hal.science/hal-04208811","text":"External Repository"},{"id":424283,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"57","issue":"37","noUsgsAuthors":false,"publicationDate":"2023-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Bergemann, Christina M.","contributorId":333057,"corporation":false,"usgs":false,"family":"Bergemann","given":"Christina","email":"","middleInitial":"M.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":891815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Avellan, Astrid","contributorId":333058,"corporation":false,"usgs":false,"family":"Avellan","given":"Astrid","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":891816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perrotta, Brittany G. 0000-0003-2669-3047","orcid":"https://orcid.org/0000-0003-2669-3047","contributorId":301929,"corporation":false,"usgs":true,"family":"Perrotta","given":"Brittany","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":891817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bernhardt, Emily S.","contributorId":173736,"corporation":false,"usgs":false,"family":"Bernhardt","given":"Emily","email":"","middleInitial":"S.","affiliations":[{"id":27285,"text":"Duke Univerisity","active":true,"usgs":false}],"preferred":false,"id":891818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Simonin, Marie 0000-0003-1493-881X","orcid":"https://orcid.org/0000-0003-1493-881X","contributorId":304843,"corporation":false,"usgs":false,"family":"Simonin","given":"Marie","email":"","affiliations":[{"id":66161,"text":"Université d’Angers","active":true,"usgs":false}],"preferred":false,"id":891819,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70248074,"text":"70248074 - 2023 - Contrasting mercury contamination scenarios and site susceptibilities confound fish mercury burdens in Suriname, South America","interactions":[],"lastModifiedDate":"2023-09-20T16:24:15.739703","indexId":"70248074","displayToPublicDate":"2023-09-05T10:19:25","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":"Contrasting mercury contamination scenarios and site susceptibilities confound fish mercury burdens in Suriname, South America","docAbstract":"<p><span>In Suriname, mercury (Hg) use has recently increased because of gold mining, which has put fish-reliant communities (e.g., Indigenous and Tribal) at risk of enhanced Hg exposure through the riverine fish these communities consume. To quantify how the magnitude of these risks change according to location and time, we measured total mercury (HgT) in fish at sites downstream and upstream of an artisanal and small-scale gold mining (ASGM) operation in 2004–2005 and in 2017–2018. We tested whether fish HgT burdens over dynamic ranges were increased. Surprisingly, our findings did not support broadly increased fish Hg burden over time or that proximity to ASGM was diagnostic to fish HgT-burden. Subsequently, we elected to test the HgT stable isotope ratios on a set of freshly collected 2020 fish to determine whether differences in Hg source and delivery pathways might cofound results. We found that remote unmined sites were more susceptible to gaseous elemental Hg deposition pathways, leading to enhanced risk of contamination, whereas ASGM proximate sites were not. These results highlight that elemental mercury releases from ASGM practices may have significant impact on fish-reliant communities that are far removed from ASGM point source contamination.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2023.122447","usgsCitation":"Vreedzaam, A., Ouboter, P., Hindori-Mohangoo, A.D., Lepak, R., Rumschlag, S.L., Janssen, S., Landburg, G., Shankar, A., Zijlmans, W., Lichtveld, M.Y., and Wickliffe, J.K., 2023, Contrasting mercury contamination scenarios and site susceptibilities confound fish mercury burdens in Suriname, South America: Environmental Pollution, v. 336, 122447, 8 p., https://doi.org/10.1016/j.envpol.2023.122447.","productDescription":"122447, 8 p.","ipdsId":"IP-155740","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":442182,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index 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0000-0003-3125-8402","orcid":"https://orcid.org/0000-0003-3125-8402","contributorId":304823,"corporation":false,"usgs":false,"family":"Rumschlag","given":"Samantha","email":"","middleInitial":"L.","affiliations":[{"id":12772,"text":"USEPA","active":true,"usgs":false}],"preferred":false,"id":881774,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":882069,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Landburg, Gwen","contributorId":328949,"corporation":false,"usgs":false,"family":"Landburg","given":"Gwen","email":"","affiliations":[{"id":78537,"text":"Anton de Kom University of Suriname","active":true,"usgs":false}],"preferred":false,"id":881776,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Shankar, Arti","contributorId":328950,"corporation":false,"usgs":false,"family":"Shankar","given":"Arti","email":"","affiliations":[{"id":13500,"text":"Tulane University","active":true,"usgs":false}],"preferred":false,"id":881777,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Zijlmans, Wilco","contributorId":328951,"corporation":false,"usgs":false,"family":"Zijlmans","given":"Wilco","email":"","affiliations":[{"id":78537,"text":"Anton de Kom University of Suriname","active":true,"usgs":false}],"preferred":false,"id":881778,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Lichtveld, Maureen Y.","contributorId":328952,"corporation":false,"usgs":false,"family":"Lichtveld","given":"Maureen","email":"","middleInitial":"Y.","affiliations":[{"id":12465,"text":"University of Pittsburgh","active":true,"usgs":false}],"preferred":false,"id":881779,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wickliffe, Jeffrey K.","contributorId":328953,"corporation":false,"usgs":false,"family":"Wickliffe","given":"Jeffrey","email":"","middleInitial":"K.","affiliations":[{"id":40552,"text":"University of Alabama at Birmingham","active":true,"usgs":false}],"preferred":false,"id":881780,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70248027,"text":"sir20235085 - 2023 - Updates to CE-QUAL-W2 models for select U.S. Army Corps of Engineers reservoirs in the Willamette Valley Project and an inter-reservoir reach of the Middle Fork Willamette River, northwestern Oregon","interactions":[],"lastModifiedDate":"2025-08-14T19:42:16.158318","indexId":"sir20235085","displayToPublicDate":"2023-09-05T09:38:18","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":"2023-5085","displayTitle":"Updates to CE-QUAL-W2 Models for Select U.S. Army Corps of Engineers Reservoirs in the Willamette Valley Project and an Inter-Reservoir Reach of the Middle Fork Willamette River, Northwestern Oregon","title":"Updates to CE-QUAL-W2 models for select U.S. Army Corps of Engineers reservoirs in the Willamette Valley Project and an inter-reservoir reach of the Middle Fork Willamette River, northwestern Oregon","docAbstract":"<p>Mechanistic models capable of simulating hydrodynamics and water temperature in rivers and reservoirs are valuable tools for investigating thermal conditions and their relation to dam operations and streamflow in river basins where upstream water storage and management decisions have an important influence on river reaches with threatened fish populations. In particular, models allow managers to investigate how new, untried operations or hypothetical structures might influence streamflow and temperature conditions downstream. CE-QUAL-W2 is a two-dimensional (laterally averaged) hydrodynamic water-quality model that has previously been used to investigate the downstream effects of dam operations and other anthropogenic influences on stream temperature in the Willamette River Basin in northwestern Oregon, a region with two populations of fish species designated as threatened under the Endangered Species Act. By linking CE-QUAL-W2 river models to models of upstream, large Willamette Valley Project dams and reservoirs, these models can be used to investigate how dam operations at individual dams can influence streamflow and thermal conditions in downstream river reaches as an integrated system. Integrated model simulations that include the large dams and reservoirs linked to downstream river reaches can help managers develop a better understanding of tradeoffs associated with potential retrofits or operational changes across the multipurpose dams in the Willamette Valley Project, the effect of dam management on downstream tributaries and the Willamette River, and the resulting potential effect on threatened fish populations and habitat conditions.</p><p>River models capable of simulating river corridors downstream from U.S. Army Corps of Engineers dams were previously updated and integrated to simulate conditions that occurred from March through October of 2011 (a cool and wet year), 2015 (a hot and dry year), and 2016 (a moderately hot and dry year) using CE-QUAL-W2 version 4.2. These river models encompass the following:</p><ul><ul><li>Coast Fork Willamette and Middle Fork Willamette Rivers, the Row River, and Fall Creek downstream from Cottage Grove, Dexter, Dorena, and Fall Creek Dams, respectively;</li><li>South Fork McKenzie River downstream from Cougar Dam;</li><li>McKenzie River downstream from its confluence with the South Fork McKenzie River;</li><li>South Santiam River downstream from Foster Dam;</li><li>North Santiam River downstream from Big Cliff Dam; and</li><li>Willamette River from its start at the confluence of the Middle Fork Willamette and Coast Fork Willamette Rivers to Willamette Falls (river mile 26.0; near West Linn, Oregon).</li></ul></ul><p>This report documents model modifications, boundary condition data sources or estimation methods, and goodness-of-fit statistics for six CE-QUAL-W2 reservoir models and one river model upstream from the existing river models. These models simulate (1) Hills Creek Lake; (2) Lookout Point Lake and Dexter Reservoir on the Middle Fork Willamette River; (3) the Middle Fork Willamette River reach between Hills Creek Dam upstream and Lookout Point Lake downstream; (4) Cougar Reservoir on the South Fork McKenzie River; (5) Green Peter Lake on the Middle Santiam River and Foster Lake on the South Santiam River; and (6) Detroit Lake and (7) Big Cliff Reservoir on the North Santiam River. These CE-QUAL-W2 models were built by a variety of researchers to simulate a range of conditions in past years; this report documents their upgrade to U.S. Geological Survey (USGS) edition 7 of version 4.2 of CE-QUAL-W2 and updates each model to simulate conditions from January through December of 2011, 2015, and 2016. Also included in this report is an explanation of modifications to the CE-QUAL-W2 source code that constitute USGS edition 7 of CE-QUAL-W2 version 4.2. Each of the models described in this report can be run in isolation or linked to downstream models as a “system model” to simulate conditions in tributaries and (or) in the Willamette Valley Project as a whole.</p><p>As part of the model updates described in this report, some model parameters were adjusted to improve stability or decrease model error, and boundary conditions including meteorological, hydrologic, and temperature inputs were developed and updated for model years 2011, 2015, and 2016, as necessary. In some cases, the data sources used to drive previous model versions were no longer available, which required the development and checking of new data sources or estimation techniques. Goodness-of-fit statistics for outflow from the dams and in simulated river reaches generally show a good model fit, with the models simulating subdaily water temperatures at most comparable locations with a mean absolute error of generally less than 1 degree Celsius (°C) and a reasonably low bias. Model simulation of the thermal vertical profiles in each reservoir also produced an overall mean absolute error of generally less than 1 °C for all 3 years, with the exception of the Hills Creek Lake Model and the Cougar Reservoir Model in years when the reservoirs did not fill (2015 and 2016). Both of these models have known calibration issues and tend to be sensitive to the choice of certain structural parameters in the model. Overall, the calibration process was focused on obtaining model settings that led to realistic water temperature predictions in all 3 years (2011, 2015, and 2016) without over-calibrating specifically to any single year. A complete investigation of model error for these reservoir submodels was beyond the scope of this investigation but could be undertaken in the future if better model performance for these two reservoirs is desired.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235085","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, Portland District","usgsCitation":"Stratton Garvin, L.E., Buccola, N.L., and Rounds, S.A., 2023, Updates to CE-QUAL-W2 models for select U.S. Army Corps of Engineers reservoirs in the Willamette Valley Project and an inter-reservoir reach of the Middle Fork Willamette River, northwestern Oregon (ver. 1.1, June 2025): U.S. Geological Survey Scientific Investigations Report 2023–5085, 89 p., https://doi.org/10.3133/sir20235085.","productDescription":"Report: xii, 89 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-141377","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":494149,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115245.htm","linkFileType":{"id":5,"text":"html"}},{"id":420372,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5085/sir20235085.XML"},{"id":420371,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5085/images"},{"id":420373,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UJFXA5","text":"USGS data release","description":"USGS data release","linkHelpText":"CE-QUAL-W2 models for select U.S. Army Corps of Engineers reservoirs in the Willamette Valley Project and an inter-reservoir reach of the Middle Fork Willamette River, northwestern Oregon, 2011, 2015, and 2016 (ver. 1.1, May 2025)"},{"id":491287,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2023/5085/versionHist.txt","size":"2 KB","linkFileType":{"id":2,"text":"txt"}},{"id":420368,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5085/coverthb2.jpg"},{"id":420369,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5085/sir20235085.pdf","text":"Report","size":"24 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5085"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -122.45633507532085,\n              45.58946612874976\n            ],\n            [\n              -122.9361641346579,\n              46.04098363545978\n            ],\n            [\n              -123.5145410212395,\n              45.5627587310459\n            ],\n            [\n              -123.63148629596873,\n              44.60670825289975\n            ],\n            [\n              -123.5623951104441,\n              43.59496378124939\n            ],\n            [\n              -123.05635970383773,\n              43.13379451064938\n            ],\n            [\n              -121.74055049946932,\n              42.79157283626091\n            ],\n            [\n              -121.20756798908744,\n              43.3534143414802\n            ],\n            [\n              -121.15566880710551,\n              44.42799279254055\n            ],\n            [\n              -121.3336847614029,\n              45.19900479802473\n            ],\n            [\n              -121.88806972979938,\n              45.53916954884161\n            ],\n            [\n              -122.45633507532085,\n              45.58946612874976\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","edition":"Version 1.0: September 5, 2023; Version 1.1: June 27, 2025","contact":"<p><a href=\"mailto:dc_or@usgs.gov\" data-mce-href=\"mailto:dc_or@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/oregon-water-science-center\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/oregon-water-science-center\">Oregon Water Science Center</a><br>U.S. Geological Survey<br>601 SW Second Avenue, Suite 1950<br>Portland, Oregon 97204</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods and Data</li><li>Model Updates</li><li>Summary and Possible Future Research</li><li>References Cited</li><li>Appendixes 1-2</li></ul>","publishedDate":"2023-09-05","revisedDate":"2025-06-27","noUsgsAuthors":false,"publicationDate":"2023-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Stratton Garvin, Laurel E. 0000-0001-8567-8619 lstratton@usgs.gov","orcid":"https://orcid.org/0000-0001-8567-8619","contributorId":270182,"corporation":false,"usgs":true,"family":"Stratton Garvin","given":"Laurel","email":"lstratton@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881555,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buccola, Norman L. 0000-0002-9590-2458 nbuccola@usgs.gov","orcid":"https://orcid.org/0000-0002-9590-2458","contributorId":139096,"corporation":false,"usgs":true,"family":"Buccola","given":"Norman","email":"nbuccola@usgs.gov","middleInitial":"L.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881556,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rounds, Stewart A. 0000-0002-8540-2206 sarounds@usgs.gov","orcid":"https://orcid.org/0000-0002-8540-2206","contributorId":905,"corporation":false,"usgs":true,"family":"Rounds","given":"Stewart","email":"sarounds@usgs.gov","middleInitial":"A.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":881557,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70248078,"text":"70248078 - 2023 - A nitrifier-enriched microbial community contributes to the degradation of environmental DNA","interactions":[],"lastModifiedDate":"2024-02-07T16:40:24.558146","indexId":"70248078","displayToPublicDate":"2023-09-05T09:25:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5840,"text":"Environmental DNA","active":true,"publicationSubtype":{"id":10}},"title":"A nitrifier-enriched microbial community contributes to the degradation of environmental DNA","docAbstract":"<p><span>Environmental DNA (eDNA) surveys are a promising alternative to traditional monitoring of invasive species, rare species, and biodiversity. Detecting organism-specific eDNA reduces the need to collect physical specimens for population estimates, and the high sensitivity of eDNA assays may improve detection of rare or cryptic species. However, correlating estimated concentrations of eDNA with species abundance can be difficult due to the many abiotic and biotic factors that influence eDNA persistence and degradation. Here, we assessed the impact of a nitrifier-enriched microbial (NEM) community on the persistence and degradation of&nbsp;</span><i>Hypophthalmichthys molitrix</i><span>&nbsp;(silver carp) milt eDNA using experimental aquatic mesocosms and a quantitative PCR approach. The NEM community was cultured from combined sediment and water samples collected from a golf course pond in Columbia, Missouri (USA), and experiments were conducted in the dark at 22°C. We found that the NEM community transformed organic nitrogen from silver carp milt to measurable amounts of nitrate, both in the presence and absence of ammonia nitrogen. Additionally, regardless of ammonia availability, milt eDNA followed a one-phase exponential decay pattern after an initial 24-h plateau in the presence of the NEM community. However, milt eDNA had a shorter half-life (12.5 h) in the absence of exogenous ammonia compared to when ammonia was present (15 h). In sterile mesocosms, eDNA was stable during the 72-h experiment. Together, these results suggest that the presence of microorganisms is necessary for short-term degradation of eDNA. Furthermore, nitrifying microbial communities, which are ubiquitous in most soil and water environments, could limit eDNA persistence in the environment. Understanding the contributions of environmental microbial communities will allow more confidence in sampling design and eDNA result interpretations for biodiversity management applications.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/edn3.469","usgsCitation":"Beattie, R.E., Helbing, C., Imbery, J.J., Klymus, K.E., Lopez Duran, J., Richter, C.A., Thambirajah, A.A., Thompson, N., and Edwards, T.M., 2023, A nitrifier-enriched microbial community contributes to the degradation of environmental DNA: Environmental DNA, v. 5, no. 6, p. 1473-1483, https://doi.org/10.1002/edn3.469.","productDescription":"11 p.","startPage":"1473","endPage":"1483","ipdsId":"IP-150919","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":442184,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/edn3.469","text":"Publisher Index Page"},{"id":435189,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UTO4MC","text":"USGS data release","linkHelpText":"Water chemistry and molecular eDNA data observed in experimental laboratory mesocosms exposed to different nitrogen amendments in the presence or absence of a nitrifier enriched microbial community"},{"id":420476,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-08-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Beattie, Rachelle Elaine 0000-0002-9648-4948","orcid":"https://orcid.org/0000-0002-9648-4948","contributorId":298312,"corporation":false,"usgs":true,"family":"Beattie","given":"Rachelle","email":"","middleInitial":"Elaine","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":881806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Helbing, Caren C.","contributorId":264551,"corporation":false,"usgs":false,"family":"Helbing","given":"Caren C.","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":881807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Imbery, Jacob J.","contributorId":328954,"corporation":false,"usgs":false,"family":"Imbery","given":"Jacob","email":"","middleInitial":"J.","affiliations":[{"id":34471,"text":"University of Victoria, Canada","active":true,"usgs":false}],"preferred":false,"id":881808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klymus, Katy E. 0000-0002-8843-6241 kklymus@usgs.gov","orcid":"https://orcid.org/0000-0002-8843-6241","contributorId":5043,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","email":"kklymus@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":881809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lopez Duran, Jonathan 0000-0001-5927-280X","orcid":"https://orcid.org/0000-0001-5927-280X","contributorId":328955,"corporation":false,"usgs":true,"family":"Lopez Duran","given":"Jonathan","email":"","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":881810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Richter, Cathy A. 0000-0001-7322-4206 crichter@usgs.gov","orcid":"https://orcid.org/0000-0001-7322-4206","contributorId":1878,"corporation":false,"usgs":true,"family":"Richter","given":"Cathy","email":"crichter@usgs.gov","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":881811,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Thambirajah, Anita A.","contributorId":328956,"corporation":false,"usgs":false,"family":"Thambirajah","given":"Anita","email":"","middleInitial":"A.","affiliations":[{"id":34471,"text":"University of Victoria, Canada","active":true,"usgs":false}],"preferred":false,"id":881812,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Thompson, Nathan 0000-0002-1372-6340 nthompson@usgs.gov","orcid":"https://orcid.org/0000-0002-1372-6340","contributorId":196133,"corporation":false,"usgs":true,"family":"Thompson","given":"Nathan","email":"nthompson@usgs.gov","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":881813,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Edwards, Thea M. 0000-0002-6176-2872","orcid":"https://orcid.org/0000-0002-6176-2872","contributorId":241635,"corporation":false,"usgs":true,"family":"Edwards","given":"Thea","email":"","middleInitial":"M.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":881814,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70248067,"text":"70248067 - 2023 - Proximate factors affecting mortality and maternal abandonment of young free-roaming feral horse foals","interactions":[],"lastModifiedDate":"2023-09-05T13:44:07.221981","indexId":"70248067","displayToPublicDate":"2023-09-05T08:31:33","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":16693,"text":"Journal of Veterinary Behavior","active":true,"publicationSubtype":{"id":10}},"title":"Proximate factors affecting mortality and maternal abandonment of young free-roaming feral horse foals","docAbstract":"<p><span>The burgeoning population of feral horses in the American west is due to high population growth, resulting from low adult mortality and high foal survival. In two populations of feral horses in western Utah, USA only 15 foals died (5%; mean age &lt;1 month) over a 4-year period. Seven additional foals (age &lt;70&nbsp;days) were observed separated from their dam, with no return to suckling or associating with the dam (i.e., abandoned). Factors affecting fate of foals were examined by comparing dead and separated foals with siblings (n = 19 dams, n = 32 siblings). Foals becoming separated or dying were observed in all years of the study, were unrelated to horse density, environmental effects, or gather events. There was no effect of dam body condition, parity, or age on foal survival or separation, and no effect of length of time the dam was in a group, whether the foal was born into the same group as conceived, and number of group changes made by the dam while pregnant. Dams of foals that died or were separated were more likely to change groups within 2 months after the foal was first seen, mostly after foal death or separation. Separated foals were near their dam less often, but there was no difference in frequency of social interactions. Separation of foals and dams is a natural occurrence in feral horses and survival likelihood for these foals is high – all separated foals that remained on the range in this study survived.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jveb.2023.06.006","usgsCitation":"King, S.R., Cole, M.J., Barton, C., and Schoenecker, K., 2023, Proximate factors affecting mortality and maternal abandonment of young free-roaming feral horse foals: Journal of Veterinary Behavior, v. 66, 10 p., https://doi.org/10.1016/j.jveb.2023.06.006.","productDescription":"10 p.","ipdsId":"IP-143611","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":435190,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94G4W8U","text":"USGS data release","linkHelpText":"Data on separated and dead foals from Conger and Frisco Herd Management Areas, Utah, USA, between 2017 and 2020"},{"id":420473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","otherGeospatial":"Conger Herd Management Area, Frisco Herd Management Area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.04663616849439,\n              38.90109959179986\n            ],\n            [\n              -112.96493822411813,\n              38.90109959179986\n            ],\n            [\n              -112.96493822411813,\n              39.926696460333545\n            ],\n            [\n              -114.04663616849439,\n              39.926696460333545\n            ],\n            [\n              -114.04663616849439,\n              38.90109959179986\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -114.0450241140984,\n              38.885159500721784\n            ],\n            [\n              -114.0450241140984,\n              38.33303112003492\n            ],\n            [\n              -113.05906288117404,\n              38.33303112003492\n            ],\n            [\n              -113.05906288117404,\n              38.885159500721784\n            ],\n            [\n              -114.0450241140984,\n              38.885159500721784\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"66","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"King, Sarah R. 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,{"id":70248306,"text":"70248306 - 2023 - Informing management of recovering predators and their prey with ecological diffusion models","interactions":[],"lastModifiedDate":"2023-12-04T17:13:19.395597","indexId":"70248306","displayToPublicDate":"2023-09-05T08:25:25","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Informing management of recovering predators and their prey with ecological diffusion models","docAbstract":"<p><span>The reintroduction and recovery of predators can be ecologically beneficial as well as socially and economically controversial. However, the growth and expansion of predator populations, and thus their ecological, social, and economic impacts, are not static but rather they vary in space and time. We propose a spatiotemporal statistical modeling framework based on ecological diffusion to better inform the ecology and management of recovering predators and their prey. We demonstrate its utility by applying it to a recovering sea otter (</span><i>Enhydra lutris</i><span>) population in Southeast Alaska, where sea otters were reintroduced in the late 1960s and have exhibited unprecedented population growth. Estimated parameters yield inferences about movement and population ecology, and our approach provides useful derived quantities, such as local abundance and carrying capacity as well as a quantity we term the equilibrium differential. We used our model to examine how density dependence and carrying capacity of sea otters vary spatially across a region. The diffusion modeling approach we present can be generalized for use in other instances of (re)colonization across taxa to inform management and conservation efforts.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2673","usgsCitation":"Eisaguirre, J.M., Williams, P.J., Lu, X., Kissling, M.L., Schutte, P.A., Weitzman, B.P., Beatty, W., Esslinger, G.G., Womble, J., and Hooten, M.B., 2023, Informing management of recovering predators and their prey with ecological diffusion models: Frontiers in Ecology and the Environment, v. 21, no. 10, p. 479-488, https://doi.org/10.1002/fee.2673.","productDescription":"10 p.","startPage":"479","endPage":"488","ipdsId":"IP-139715","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":420618,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"http://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70248263,"text":"70248263 - 2023 - Prioritizing science efforts to inform decision making on public lands","interactions":[],"lastModifiedDate":"2023-12-04T17:05:49.12494","indexId":"70248263","displayToPublicDate":"2023-09-05T08:24:53","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Prioritizing science efforts to inform decision making on public lands","docAbstract":"<p><span>Public land management agencies in the US are committed to using science-informed decision making, but there has been little research on the types and topics of science that managers need most to inform their decisions. We used the National Environmental Policy Act to identify four types of science information needed for making decisions relevant to public lands: (1) data on resources of concern, (2) scientific studies relevant to potential effects of proposed actions, (3) methods for quantifying potential effects of proposed actions, and (4) effective mitigation measures. We then used this framework to analyze 70 Environmental Assessments completed by the Bureau of Land Management in Colorado. Commonly proposed actions were oil and gas development, livestock grazing, land transactions, and recreation. Commonly analyzed resources included terrestrial wildlife, protected birds, vegetation, and soils. Focusing research efforts on the intersection of these resources and actions, and on developing and evaluating the effectiveness of mitigation measures to protect these resources, could strengthen the science foundation for public lands decision making.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/fee.2672","usgsCitation":"Carter, S.K., Haby, T., Meineke, J.K., Foster, A.C., McCall, L.E., Espy, L., Gilbert, M., Herrick, J.E., and Prentice, K., 2023, Prioritizing science efforts to inform decision making on public lands: Frontiers in Ecology and the Environment, v. 21, no. 10, p. 453-460, https://doi.org/10.1002/fee.2672.","productDescription":"8 p.","startPage":"453","endPage":"460","ipdsId":"IP-134196","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":442187,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fee.2672","text":"Publisher Index Page"},{"id":420558,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"21","issue":"10","noUsgsAuthors":false,"publicationDate":"2023-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Carter, Sarah K. 0000-0003-3778-8615","orcid":"https://orcid.org/0000-0003-3778-8615","contributorId":192418,"corporation":false,"usgs":true,"family":"Carter","given":"Sarah","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haby, Travis","contributorId":202409,"corporation":false,"usgs":false,"family":"Haby","given":"Travis","affiliations":[{"id":36421,"text":"Bureau of Land Management National Operations Center","active":true,"usgs":false}],"preferred":false,"id":882144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meineke, Jennifer K. 0000-0002-7136-5854","orcid":"https://orcid.org/0000-0002-7136-5854","contributorId":275418,"corporation":false,"usgs":true,"family":"Meineke","given":"Jennifer","email":"","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Foster, Alison C. 0000-0002-6659-2120","orcid":"https://orcid.org/0000-0002-6659-2120","contributorId":260599,"corporation":false,"usgs":true,"family":"Foster","given":"Alison","email":"","middleInitial":"C.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCall, Laine E. 0000-0003-2624-8453","orcid":"https://orcid.org/0000-0003-2624-8453","contributorId":275417,"corporation":false,"usgs":true,"family":"McCall","given":"Laine","email":"","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":882228,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Espy, Leigh","contributorId":329383,"corporation":false,"usgs":false,"family":"Espy","given":"Leigh","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":882147,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gilbert, Megan A.","contributorId":329384,"corporation":false,"usgs":false,"family":"Gilbert","given":"Megan A.","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":882148,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Herrick, Jeffrey E.","contributorId":26054,"corporation":false,"usgs":false,"family":"Herrick","given":"Jeffrey","email":"","middleInitial":"E.","affiliations":[{"id":12627,"text":"USDA-ARS Jornada Experimental Range, New Mexico State University, Las Cruces, NM 88003-8003, USA","active":true,"usgs":false}],"preferred":false,"id":882149,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Prentice, Karen","contributorId":177304,"corporation":false,"usgs":false,"family":"Prentice","given":"Karen","affiliations":[],"preferred":false,"id":882150,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70248127,"text":"70248127 - 2023 - Baiting and banding: Expert opinion on how bait trapping may influence the occurrence of highly pathogenic avian influenza (HPAI) among dabbling ducks","interactions":[],"lastModifiedDate":"2023-11-07T15:47:33.270361","indexId":"70248127","displayToPublicDate":"2023-09-05T08:18:36","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Baiting and banding: Expert opinion on how bait trapping may influence the occurrence of highly pathogenic avian influenza (HPAI) among dabbling ducks","docAbstract":"<p><span>A Eurasian lineage highly pathogenic avian influenza virus (HPAIV) of the clade 2.3.4.4b (Goose/Guangdong lineage) was detected in migratory bird populations in North America in December 2021, and it, along with its reassortants, have since caused wild and domestic bird outbreaks across the continent. Relative to previous outbreaks, HPAIV cases among wild birds in 2022 exhibited wider geographic extent within North America and higher levels of mortality, suggesting the potential for population-level impacts. Given the possible conservation implications of HPAIV in wild birds, natural resource managers have sought guidance on actions that may mitigate negative effects of disease among North American bird populations, including modification of existing management practices. Banding of waterfowl is a critical tool for population management for several harvested species in North America, but some banding techniques, such as bait trapping, can lead to increased congregation of waterfowl, potentially altering HPAIV transmission. We used an expert opinion exercise to assess how bait trapping of dabbling ducks in Canada may influence HPAIV transmission and wild bird health. The expert group found that it is moderately likely that bait trapping of dabbling ducks in wetlands will significantly increase the transmission of HPAIV among individual ducks, but there is a low probability that this will result in significant population-level effects on North American dabbling ducks. Considering the lack of empirical work studying how capture and handling methods may change transmission of HPAIV among waterfowl, as well as the importance of bait trapping for waterfowl management in North America, future work should focus on filling knowledge gaps pertaining to the influence of baiting on HPAIV occurrence to better inform banding procedures and management decision making.</span></p>","language":"English","publisher":"Allen Press","doi":"10.7589/JWD-D-22-00163","usgsCitation":"Provencher, J.F., Wilcox, A.A., Gibbs, S.E., Howes, L., Mallory, M.L., Pybus, M.J., Ramey, A.M., Reed, E.T., Sharp, C., Soos, C., Stasiak, I., and Leafloor, J.O., 2023, Baiting and banding: Expert opinion on how bait trapping may influence the occurrence of highly pathogenic avian influenza (HPAI) among dabbling ducks: Journal of Wildlife Diseases, v. 59, no. 4, p. 590-600, https://doi.org/10.7589/JWD-D-22-00163.","productDescription":"11 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,{"id":70248874,"text":"70248874 - 2023 - Importance of dense aquatic vegetation in seasonal phosphate and particle transport in an agricultural headwater stream","interactions":[],"lastModifiedDate":"2023-09-25T12:25:24.038358","indexId":"70248874","displayToPublicDate":"2023-09-05T07:24:02","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Importance of dense aquatic vegetation in seasonal phosphate and particle transport in an agricultural headwater stream","docAbstract":"<div class=\"article-section__content en main\"><p>Agricultural headwater streams and ditches commonly host dense stands of aquatic vegetation that grow and decay over seasons and exert physical and biological controls on the transport of nutrients from cropland to larger rivers. This study examined changes in the transport of phosphorus (P) in an agricultural drainage ditch in the Maumee River Basin (Ohio, USA) by conducting constant rate injections of a novel tracer mixture (conservative salt [Cl as NaCl], dissolved P [KH<sub>2</sub>PO<sub>4</sub>], and a fluorescent fine particle) in spring, summer, and fall. We quantified transport behavior for solutes and particles using a traditional transient storage modeling framework consisting of mobile and immobile storage zones connected by a first-order exchange rate constant. Transient storage was greatest during the spring, when thicker vegetation caused more pooling and flow stagnation, and decreased through fall, as vegetation thinned. Soluble P uptake lengths were 8.7 times longer in fall than spring, likely due to declines in biological uptake rates with colder temperatures and immobile zone storage with thinning vegetation. Particle capture lengths also decreased by a factor of 4.3 from fall to spring. With the increasing eutrophication of Lake Erie and waterbodies around the world that lie downstream from agricultural landscapes, it is beneficial to understand nutrient transport across watersheds, including small agricultural streams. This study highlights the physical and biological roles that aquatic vegetation plays in small agricultural streams by creating seasonally variable immobile zones that slow the flow of nutrients, providing surface area for biofilms, and capturing particles that bind nutrients.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022WR033782","usgsCitation":"Field, H.R., Sawyer, A.H., Welch, S.A., Benefiel, R.K., Mathie, D.M., Hood, J.M., Pawlowski, E.D., Karwan, D.L., Kreiling, R.M., Johnson, Z.I., Hanrahan, B.R., and King, K.W., 2023, Importance of dense aquatic vegetation in seasonal phosphate and particle transport in an agricultural headwater stream: Water Resources Research, v. 59, no. 9, e2022WR033782, 17 p., https://doi.org/10.1029/2022WR033782.","productDescription":"e2022WR033782, 17 p.","ipdsId":"IP-145730","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":442192,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022wr033782","text":"Publisher Index Page"},{"id":421126,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"9","noUsgsAuthors":false,"publicationDate":"2023-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Field, Hannah R.","contributorId":330103,"corporation":false,"usgs":false,"family":"Field","given":"Hannah","email":"","middleInitial":"R.","affiliations":[{"id":78811,"text":"The Ohio State University, School of Earth Sciences, Columbus, OH, United States","active":true,"usgs":false}],"preferred":false,"id":883999,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sawyer, Audrey H.","contributorId":330104,"corporation":false,"usgs":false,"family":"Sawyer","given":"Audrey","email":"","middleInitial":"H.","affiliations":[{"id":78811,"text":"The Ohio State University, School of Earth Sciences, Columbus, OH, United States","active":true,"usgs":false}],"preferred":false,"id":884000,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Welch, Susan A.","contributorId":330105,"corporation":false,"usgs":false,"family":"Welch","given":"Susan","email":"","middleInitial":"A.","affiliations":[{"id":78811,"text":"The Ohio State University, School of Earth Sciences, Columbus, OH, United States","active":true,"usgs":false}],"preferred":false,"id":884001,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Benefiel, Ryan K.","contributorId":330106,"corporation":false,"usgs":false,"family":"Benefiel","given":"Ryan","email":"","middleInitial":"K.","affiliations":[{"id":78811,"text":"The Ohio State University, School of Earth Sciences, Columbus, OH, United States","active":true,"usgs":false}],"preferred":false,"id":884002,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mathie, Devan M.","contributorId":330107,"corporation":false,"usgs":false,"family":"Mathie","given":"Devan","email":"","middleInitial":"M.","affiliations":[{"id":78811,"text":"The Ohio State University, School of Earth Sciences, Columbus, OH, United States","active":true,"usgs":false}],"preferred":false,"id":884003,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hood, James M.","contributorId":267332,"corporation":false,"usgs":false,"family":"Hood","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":884004,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pawlowski, Ethan D.","contributorId":218062,"corporation":false,"usgs":false,"family":"Pawlowski","given":"Ethan","email":"","middleInitial":"D.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":884005,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Karwan, Diana L.","contributorId":207315,"corporation":false,"usgs":false,"family":"Karwan","given":"Diana","email":"","middleInitial":"L.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":884006,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kreiling, Rebecca M. 0000-0002-9295-4156","orcid":"https://orcid.org/0000-0002-9295-4156","contributorId":202193,"corporation":false,"usgs":true,"family":"Kreiling","given":"Rebecca","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":884007,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnson, Zackary I.","contributorId":330108,"corporation":false,"usgs":false,"family":"Johnson","given":"Zackary","email":"","middleInitial":"I.","affiliations":[{"id":78814,"text":"Duke University, Nicholas School of the Environment, Duke Marine Laboratory, Beaufort, NC, United States","active":true,"usgs":false}],"preferred":false,"id":884008,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hanrahan, Brittany R.","contributorId":330109,"corporation":false,"usgs":false,"family":"Hanrahan","given":"Brittany","email":"","middleInitial":"R.","affiliations":[{"id":78815,"text":"U.S. Department of Agriculture, Agricultural Research Service, Columbus, OH, United States","active":true,"usgs":false}],"preferred":false,"id":884009,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"King, Kevin W.","contributorId":330110,"corporation":false,"usgs":false,"family":"King","given":"Kevin","email":"","middleInitial":"W.","affiliations":[{"id":78815,"text":"U.S. Department of Agriculture, Agricultural Research Service, Columbus, OH, United States","active":true,"usgs":false}],"preferred":false,"id":884010,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70252489,"text":"70252489 - 2023 - Mussel mass mortality in the Clinch River, USA: Metabolomics detects affected pathways and biomarkers of stress","interactions":[],"lastModifiedDate":"2024-03-26T11:48:59.363172","indexId":"70252489","displayToPublicDate":"2023-09-05T06:44:52","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3919,"text":"Conservation Physiology","onlineIssn":"2051-1434","active":true,"publicationSubtype":{"id":10}},"title":"Mussel mass mortality in the Clinch River, USA: Metabolomics detects affected pathways and biomarkers of stress","docAbstract":"<p class=\"chapter-para\">Biologists monitoring freshwater mussel (order Unionida) populations rely on behavioral, often subjective, signs to identify moribund (“sick”) or stressed mussels, such as gaping valves and slow response to probing, and they lack clinical indicators to support a diagnosis. As part of a multi-year study to investigate causes of reoccurring mortality of pheasantshell (<i>Ortmanniana pectorosa;</i><span>&nbsp;</span>synonym<span>&nbsp;</span><i>Actinonaias pectorosa</i>) in the Clinch River, Virginia and Tennessee, USA, we analyzed the hemolymph metabolome of a subset of mussels from the 2018 sampling period. Mussels at the mortality sites were diagnosed in the field as affected (case) or unaffected (control) based on behavioral and physical signs. Hemolymph was collected in the field by non-lethal methods from the anterior adductor muscle for analysis. We used ultra-high-performance liquid chromatography with quadrupole time-of-flight mass spectroscopy to detect targeted and untargeted metabolites in hemolymph and compared metabolomic profiles by field assessment of clinical status. Targeted biomarker analysis found 13 metabolites associated with field assessments of clinical status. Of these, increased gamma-linolenic acid and<span>&nbsp;</span><i>N</i>-methyl-<span class=\"small-caps\">L</span>-alanine were most indicative of case mussels, while adenine and inosine were the best indicators of control mussels. Five pathways in the targeted analysis differed by clinical status; two of these, purine metabolism and glycerophospholipid metabolism, were also indicated in the untargeted analysis. In the untargeted nalysis, 22 metabolic pathways were associated with clinical status. Many of the impacted pathways in the case group were catabolic processes, such as degradation of amino acids and fatty acids. Hierarchical clustering analysis matched clinical status in 72% (18 of 25) of mussels, with control mussels more frequently (5 of 16) not matching clinical status. Our study demonstrated that metabolomic analysis of hemolymph is suitable for assessing mussel condition and complements field-based indicators of health.</p>","language":"English","publisher":"Oxford University Press","doi":"10.1093/conphys/coad074","usgsCitation":"Putnam, J.G., Steiner, J.N., Richard, J., Leis, E., Goldberg, T., Dunn, C.D., Agbalog, R., Knowles, S., and Waller, D.L., 2023, Mussel mass mortality in the Clinch River, USA: Metabolomics detects affected pathways and biomarkers of stress: Conservation Physiology, v. 11, no. 1, coad074, 14 p., https://doi.org/10.1093/conphys/coad074.","productDescription":"coad074, 14 p.","ipdsId":"IP-136682","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true},{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":442195,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coad074","text":"Publisher Index Page"},{"id":427095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee, Virginia","otherGeospatial":"Clinch River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -84.70963927890442,\n              37.816372869860245\n            ],\n            [\n              -84.70963927890442,\n              35.63282602764869\n            ],\n            [\n              -80.73258849765482,\n              35.63282602764869\n            ],\n            [\n              -80.73258849765482,\n              37.816372869860245\n            ],\n            [\n              -84.70963927890442,\n              37.816372869860245\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Putnam, Joel G. 0000-0002-5464-4587 jgputnam@usgs.gov","orcid":"https://orcid.org/0000-0002-5464-4587","contributorId":5783,"corporation":false,"usgs":true,"family":"Putnam","given":"Joel","email":"jgputnam@usgs.gov","middleInitial":"G.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897299,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Steiner, J. Nolan 0000-0003-2809-9009 jsteiner@usgs.gov","orcid":"https://orcid.org/0000-0003-2809-9009","contributorId":220768,"corporation":false,"usgs":true,"family":"Steiner","given":"J.","email":"jsteiner@usgs.gov","middleInitial":"Nolan","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897300,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richard, Jordon","contributorId":239869,"corporation":false,"usgs":false,"family":"Richard","given":"Jordon","email":"","affiliations":[{"id":48017,"text":"USFWS-Virginia Field Office","active":true,"usgs":false}],"preferred":false,"id":897301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leis, Eric","contributorId":179325,"corporation":false,"usgs":false,"family":"Leis","given":"Eric","affiliations":[],"preferred":false,"id":897302,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldberg, Tony","contributorId":211788,"corporation":false,"usgs":false,"family":"Goldberg","given":"Tony","affiliations":[{"id":38319,"text":"UW Madison","active":true,"usgs":false}],"preferred":false,"id":897303,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunn, Christopher D.","contributorId":225521,"corporation":false,"usgs":false,"family":"Dunn","given":"Christopher","email":"","middleInitial":"D.","affiliations":[{"id":41155,"text":"Department of Pathobiological Sciences, University of Wisconsin-Madison,","active":true,"usgs":false}],"preferred":false,"id":897304,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Agbalog, Rose","contributorId":239870,"corporation":false,"usgs":false,"family":"Agbalog","given":"Rose","affiliations":[{"id":48017,"text":"USFWS-Virginia Field Office","active":true,"usgs":false}],"preferred":false,"id":897305,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Knowles, Susan 0000-0002-0254-6491 sknowles@usgs.gov","orcid":"https://orcid.org/0000-0002-0254-6491","contributorId":5254,"corporation":false,"usgs":true,"family":"Knowles","given":"Susan","email":"sknowles@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":897306,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Waller, Diane L. 0000-0002-6104-810X dwaller@usgs.gov","orcid":"https://orcid.org/0000-0002-6104-810X","contributorId":5272,"corporation":false,"usgs":true,"family":"Waller","given":"Diane","email":"dwaller@usgs.gov","middleInitial":"L.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":897307,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70248272,"text":"70248272 - 2023 - Wind-modulated groundwater discharge along a microtidal Arctic coastline","interactions":[],"lastModifiedDate":"2023-09-06T11:47:24.361413","indexId":"70248272","displayToPublicDate":"2023-09-05T06:35:48","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Wind-modulated groundwater discharge along a microtidal Arctic coastline","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>Groundwater discharge transports dissolved constituents to the ocean, affecting coastal carbon budgets and water quality. However, the magnitude and mechanisms of groundwater exchange along rapidly transitioning Arctic coastlines are largely unknown due to limited observations. Here, using first-of-its-kind coastal Arctic groundwater timeseries data, we evaluate the magnitude and drivers of groundwater discharge to Alaska's Beaufort Sea coast. Darcy flux calculations reveal temporally variable groundwater fluxes, ranging from −6.5 cm d<sup>−1</sup><span>&nbsp;</span>(recharge) to 14.1 cm d<sup>−1</sup><span>&nbsp;</span>(discharge), with fluctuations in groundwater discharge or aquifer recharge over diurnal and multiday timescales during the open-water season. The average flux during the monitoring period of 4.9 cm d<sup>−1</sup><span>&nbsp;</span>is in line with previous estimates, but the maximum discharge exceeds previous estimates by over an order-of-magnitude. While the diurnal fluctuations are small due to the microtidal conditions, multiday variability is large and drives sustained periods of aquifer recharge and groundwater discharge. Results show that wind-driven lagoon water level changes are the dominant mechanism of fluctuations in land–sea hydraulic head gradients and, in turn, groundwater discharge. Given the microtidal conditions, low topographic relief, and limited rainfall along the Beaufort Sea coast, we identify wind as an important forcing mechanism of coastal groundwater discharge and aquifer recharge with implications for nearshore biogeochemistry. This study provides insights into groundwater flux dynamics along this coastline over time and highlights an oft overlooked discharge and circulation mechanism with implications towards refining solute export estimates to coastal Arctic waters.</p></div>","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/acf0d8","usgsCitation":"Guimond, J., Demir, C., Kurylyk, B.L., Walvoord, M.A., McClelland, J., and Cardenas, M.B., 2023, Wind-modulated groundwater discharge along a microtidal Arctic coastline: Environmental Research Letters, v. 18, 094042, 10 p., https://doi.org/10.1088/1748-9326/acf0d8.","productDescription":"094042, 10 p.","ipdsId":"IP-155579","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":442198,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/acf0d8","text":"Publisher Index Page"},{"id":420538,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -149.8787190288838,\n              70.63569535875706\n            ],\n            [\n              -149.8787190288838,\n              70.39401335666025\n            ],\n            [\n              -148.90750421618975,\n              70.39401335666025\n            ],\n            [\n              -148.90750421618975,\n              70.63569535875706\n            ],\n            [\n              -149.8787190288838,\n              70.63569535875706\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2023-09-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Guimond, Julia","contributorId":266043,"corporation":false,"usgs":false,"family":"Guimond","given":"Julia","email":"","affiliations":[{"id":24650,"text":"Dalhousie University","active":true,"usgs":false}],"preferred":false,"id":882179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Demir, Casu","contributorId":329392,"corporation":false,"usgs":false,"family":"Demir","given":"Casu","email":"","affiliations":[{"id":29861,"text":"The University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":882180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurylyk, Barret L.","contributorId":176296,"corporation":false,"usgs":false,"family":"Kurylyk","given":"Barret","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":882181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walvoord, Michelle A. 0000-0003-4269-8366","orcid":"https://orcid.org/0000-0003-4269-8366","contributorId":211843,"corporation":false,"usgs":true,"family":"Walvoord","given":"Michelle","email":"","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":882182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McClelland, James W.","contributorId":255074,"corporation":false,"usgs":false,"family":"McClelland","given":"James W.","affiliations":[{"id":36422,"text":"University of Texas","active":true,"usgs":false}],"preferred":false,"id":882183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cardenas, M. Bayani","contributorId":181932,"corporation":false,"usgs":false,"family":"Cardenas","given":"M.","email":"","middleInitial":"Bayani","affiliations":[],"preferred":false,"id":882184,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70249543,"text":"70249543 - 2023 - Using airborne electromagnetics to improve depth to bedrock estimates in Wisconsin","interactions":[],"lastModifiedDate":"2026-03-19T15:28:47.349369","indexId":"70249543","displayToPublicDate":"2023-09-04T10:21:36","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Using airborne electromagnetics to improve depth to bedrock estimates in Wisconsin","docAbstract":"<p>Depth to bedrock is an important factor in hydrologic systems. The thickness of glacial sediments overlying bedrock in Wisconsin controls the routing of groundwater in surficial aquifers and its <span>Depth to bedrock is often an important factor in hydrologic systems because hydraulic properties of bedrock and overlying sediments are typically appreciably different. For example, the thickness of glacial sediments overlying bedrock in Wisconsin controls the routing of groundwater in surficial aquifers and its connection with surface water bodies such as lakes and wetlands. In fractured bedrock environments, shallow bedrock can be vulnerable to degraded water quality when contaminants at the surface infiltrate quickly through permeable formations. Here, airborne electromagnetic surveys were acquired in three different parts of Wisconsin, totalling more than 5,700 flight line-kilometers, to improve understanding of depth to bedrock, the lithologic composition of overlying sediments, and as input structure for groundwater model development.</span></p>","conferenceTitle":"AEM2023 8th International Airborne Electromagnetics Workshop","conferenceDate":"September 3-7, 2023","conferenceLocation":"Fitzroy Island, Queensland, Australia","language":"English","publisher":"Australian Society of Exploration Geophysicists","doi":"10.5281/zenodo.10067960","usgsCitation":"Minsley, B.J., Crosbie, K.J., Duncker, J.J., Feinstein, D.T., Haas, L., Hart, D., Hunt, R.J., and Komiskey, M.J., 2023, Using airborne electromagnetics to improve depth to bedrock estimates in Wisconsin, AEM2023 8th International Airborne Electromagnetics Workshop, Fitzroy Island, Queensland, Australia, September 3-7, 2023, Extended abstract for AEM 2023 conference, https://doi.org/10.5281/zenodo.10067960.","productDescription":"Extended abstract for AEM 2023 conference","ipdsId":"IP-151339","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":501312,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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,{"id":70248287,"text":"70248287 - 2023 - Simultaneous stream assessment of antibiotics, bacteria, antibiotic resistant bacteria, and antibiotic resistant genes in an agricultural region of the United States","interactions":[],"lastModifiedDate":"2023-09-20T16:26:41.379918","indexId":"70248287","displayToPublicDate":"2023-09-04T07:23:29","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":"Simultaneous stream assessment of antibiotics, bacteria, antibiotic resistant bacteria, and antibiotic resistant genes in an agricultural region of the United States","docAbstract":"<div id=\"ab0005\" class=\"abstract author\"><div id=\"as0005\"><p id=\"sp0045\">Antimicrobial resistance is now recognized as a leading global threat to human health. Nevertheless, there currently is a limited understanding of the environment's role in the spread of AMR and antibiotic resistant genes (ARG). In 2019, the U.S. Geological Survey conducted the first statewide assessment of antibiotic resistant bacteria (ARB) and ARGs in surface water and bed sediment collected from 34 stream locations across Iowa. Environmental samples were analyzed for a suite of 29 antibiotics and plated on selective media for 15 types of bacteria growth; DNA was extracted from culture growth and used in downstream polymerase chain reaction (PCR) assays for the detection of 24 ARGs. ARGs encoding resistance to antibiotics of clinical importance to human health and disease prevention were prioritized as their presence in stream systems has the potential for environmental significance. Total coliforms,<span>&nbsp;</span><i>Escherichia coli</i><span>&nbsp;</span>(<i>E. coli</i>)<i>,</i><span>&nbsp;</span>and staphylococci were nearly ubiquitous in both stream water and stream bed sediment samples, with enterococci present in 97 % of water samples, and<span>&nbsp;</span><i>Salmonella</i><span>&nbsp;</span>spp. growth present in 94 % and 67 % of water and bed sediment samples. Bacteria enumerations indicate that high bacteria loads are common in Iowa's streams, with 23 (68 %) streams exceeding state guidelines for primary contact for<span>&nbsp;</span><i>E. coli</i><span>&nbsp;</span>in recreational waters and 6 (18 %) streams exceeding the secondary contact advisory level. Although antibiotic-resistant<span>&nbsp;</span><i>E. coli</i><span>&nbsp;</span>growth was detected from 40 % of water samples, vancomycin-resistant enterococci (VRE) and penicillinase-resistant<span>&nbsp;</span><i>Staphylococcus aureus</i><span>&nbsp;</span>(MRSA) colony growth was detected from nearly all water samples. A total of 14 different ARGs were detected from viable bacteria cells from 30 Iowa streams (88 %,<span>&nbsp;</span><i>n</i> = 34). Study results provide the first baseline understanding of the prevalence of ARB and ARGs throughout Iowa's waterways and health risk potential for humans, wildlife, and livestock using these waterways for drinking, irrigating, or recreating.</p></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.166753","usgsCitation":"Givens, C.E., Kolpin, D., Hubbard, L.E., Meppelink, S.M., Cwiertny, D.M., Thompson, D.A., Lane, R.F., and Wilson, M.C., 2023, Simultaneous stream assessment of antibiotics, bacteria, antibiotic resistant bacteria, and antibiotic resistant genes in an agricultural region of the United States: Science of the Total Environment, v. 904, 166753, 14 p., https://doi.org/10.1016/j.scitotenv.2023.166753.","productDescription":"166753, 14 p.","ipdsId":"IP-151993","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science 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