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Although deep learning models for stream temperature (Ts) have recently shown exceptional accuracy, they have limited interpretability and cannot output untrained variables. With hybrid differentiable models, neural networks (NNs) can be connected to physically based equations (called structural priors) to output intermediate variables such as water source fractions (specifying what portion of water is groundwater, subsurface, and surface flow). However, it is unclear if such outputs are physically meaningful when only limited physics is imposed, and if structural priors have enough impacts to be identifiable from data. Here, we tested four alternative structural priors describing basin-scale water temperature memory and instream heat processes in a differentiable stream temperature model where NNs freely estimate the water source fractions. We evaluated models’ abilities to predict Ts and baseflow ratio. The four priors exhibited noticeably different behaviors in these two metrics and their tradeoffs, with some dominating others. Therefore, the better structural priors can be identified. Moreover, testing different priors yielded valuable insights: having a separate shallow subsurface flow component better matches observations, and a recency-weighted averaging of past air temperature for calculating source water temperature resulted in better Ts and baseflow prediction than traditionally employed simple averaging. However, we also highlight the limitations when insufficient physical constraints are implemented: the internal variables (water source fractions) may not be adequately constrained by a single target variable (stream temperature) alone. To ensure the physical significance of the internal fluxes, one can either employ multivariate data for model selection, or include more physical processes in the priors.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023WR034420","usgsCitation":"Rahmani, F., Appling, A.P., Feng, D., Lawson, K., and Shen, C., 2023, Identifying structural priors in a hybrid differentiable model for stream water temperature modeling: Water Resources Research, v. 59, no. 12, e2023WR034420, 21 p., https://doi.org/10.1029/2023WR034420.","productDescription":"e2023WR034420, 21 p.","ipdsId":"IP-148327","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":441379,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023wr034420","text":"Publisher Index Page"},{"id":426426,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"59","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Rahmani, Farshid","contributorId":265775,"corporation":false,"usgs":false,"family":"Rahmani","given":"Farshid","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":896103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Appling, Alison P. 0000-0003-3638-8572 aappling@usgs.gov","orcid":"https://orcid.org/0000-0003-3638-8572","contributorId":150595,"corporation":false,"usgs":true,"family":"Appling","given":"Alison","email":"aappling@usgs.gov","middleInitial":"P.","affiliations":[{"id":5054,"text":"Office of Water Information","active":true,"usgs":true}],"preferred":true,"id":896104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Feng, Dapeng 0000-0002-5653-6504","orcid":"https://orcid.org/0000-0002-5653-6504","contributorId":317078,"corporation":false,"usgs":false,"family":"Feng","given":"Dapeng","email":"","affiliations":[{"id":68932,"text":"Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA","active":true,"usgs":false}],"preferred":false,"id":896105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lawson, Kathryn","contributorId":265776,"corporation":false,"usgs":false,"family":"Lawson","given":"Kathryn","affiliations":[{"id":54792,"text":"Civil and Environmental Engineering, Pennsylvania State University, University Park, PA","active":true,"usgs":false}],"preferred":false,"id":896106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shen, Chaopeng","contributorId":152465,"corporation":false,"usgs":false,"family":"Shen","given":"Chaopeng","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":896107,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70251274,"text":"70251274 - 2023 - How to handle glacier area change in geodetic mass balance","interactions":[],"lastModifiedDate":"2024-12-26T16:30:44.095182","indexId":"70251274","displayToPublicDate":"2023-12-21T06:52:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"How to handle glacier area change in geodetic mass balance","docAbstract":"

Innovations in geodesy enable widespread analysis of glacier surface elevation change and geodetic mass balance. However, coincident glacier area data are less widely available, causing inconsistent handling of glacier area change. Here we quantify the bias introduced into meters water equivalent (m w.e.) specific geodetic mass balance results when using a fixed, maximum glacier area, and illustrate the bias for five North American glaciers. Sites span latitudes from the northern U.S. Rocky Mountains (48°N) to the Central Alaska Range (63°N) between 1948 and 2021. Results show that fixed (maximum) area treatment subdues the m w.e. mass change signal, underestimating mass balance by up to 19% in our test cases. This bias scales with relative glacier area change and the mass balance magnitude. Thus, the bias for specific geodetic mass balances will be most pronounced across rapidly deglaciating regions. Our analysis underscores the need for temporally resolved glacier area in geodetic mass balance studies.

","language":"English","publisher":"Cambridge University Press","doi":"10.1017/jog.2023.86","usgsCitation":"Florentine, C., Sass, L., McNeil, C., Baker, E., and O'Neel, S., 2023, How to handle glacier area change in geodetic mass balance: Journal of Glaciology, v. 69, no. 278, p. 2169-2175, https://doi.org/10.1017/jog.2023.86.","productDescription":"7 p.","startPage":"2169","endPage":"2175","ipdsId":"IP-152176","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":441382,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/jog.2023.86","text":"Publisher Index Page"},{"id":425280,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"69","issue":"278","noUsgsAuthors":false,"publicationDate":"2023-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Florentine, Caitlyn 0000-0002-7028-0963","orcid":"https://orcid.org/0000-0002-7028-0963","contributorId":205964,"corporation":false,"usgs":true,"family":"Florentine","given":"Caitlyn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":893801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":893802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McNeil, Christopher J. 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":5803,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher J.","email":"cmcneil@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":893803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baker, Emily 0000-0002-0938-3496 ehbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-0938-3496","contributorId":200570,"corporation":false,"usgs":true,"family":"Baker","given":"Emily","email":"ehbaker@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":893804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"O'Neel, Shad 0000-0002-9185-0144","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":289666,"corporation":false,"usgs":false,"family":"O'Neel","given":"Shad","affiliations":[{"id":62222,"text":"Cold Regions Research Laboratory","active":true,"usgs":false}],"preferred":false,"id":893805,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250626,"text":"dr1186 - 2023 - Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2022","interactions":[],"lastModifiedDate":"2026-02-04T20:19:51.548438","indexId":"dr1186","displayToPublicDate":"2023-12-20T16:01:03","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1186","displayTitle":"Water-Level Data for the Albuquerque Basin and Adjacent Areas, Central New Mexico, Period of Record Through September 30, 2022","title":"Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2022","docAbstract":"

The Albuquerque Basin, located in central New Mexico, is about 100 miles long and 25–40 miles wide. The basin is hydrologically defined as the extent of consolidated and unconsolidated deposits of Tertiary and Quaternary age that encompasses the structural Rio Grande Rift between San Acacia to the south and Cochiti Lake to the north. Drinking-water supplies throughout the basin were obtained primarily from groundwater resources until December 2008, when the Albuquerque Bernalillo County Water Utility Authority (ABCWUA) began treatment and distribution of surface water from the Rio Grande through the San Juan-Chama Drinking Water Project.

An initial network of wells was established by the U.S. Geological Survey (USGS) in cooperation with the City of Albuquerque from April 1982 through September 1983 to monitor changes in groundwater levels throughout the Albuquerque Basin. In 1983, this network consisted of 6 wells with analog-to-digital recorders and 27 wells where water levels were measured monthly. As of water year 2022, the network consisted of 120 wells and piezometers at 54 locations. The USGS, in cooperation with the ABCWUA, the New Mexico Office of the State Engineer, and Bernalillo County, measures water levels at the wells and piezometers in the network; this report, prepared in cooperation with the ABCWUA, presents water-level data collected by USGS personnel at the sites through water year 2022 (October 1, 2021, through September 30, 2022). Water-level data that were collected in previous water years from wells that were later discontinued were published in previous USGS reports.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/dr1186","issn":"2771-9448","collaboration":"Prepared in cooperation with the Albuquerque Bernalillo County Water Utility Authority","usgsCitation":"Bell, M.T., and Montero, N.Y., 2023, Water-level data for the Albuquerque Basin and adjacent areas, central New Mexico, period of record through September 30, 2022: U.S. Geological Survey Data Report 1186, 42 p., https://doi.org/10.3133/dr1186.","productDescription":"Report: iv, 42 p.; Data Release","numberOfPages":"50","onlineOnly":"Y","ipdsId":"IP-153179","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":423823,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation","linkHelpText":"U.S. Geological Survey National Water Information System database"},{"id":423820,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/dr/1186/dr1186.XML","linkFileType":{"id":8,"text":"xml"},"description":"DR 1186 XML"},{"id":423818,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1186/coverthb.jpg"},{"id":423819,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1186/dr1186.pdf","size":"3.88 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1186"},{"id":423821,"rank":4,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/dr1186/full","linkFileType":{"id":5,"text":"html"},"description":"DR 1186 HTML"},{"id":423822,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/dr/1186/images"},{"id":499558,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115709.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New Mexico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.82700159405645,\n 34.09776221662605\n ],\n [\n -105.91538050030636,\n 34.09776221662605\n ],\n [\n -105.91538050030636,\n 36.30588569471621\n ],\n [\n -107.82700159405645,\n 36.30588569471621\n ],\n [\n -107.82700159405645,\n 34.09776221662605\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, New Mexico Water Science Center
U.S. Geological Survey 
6700 Edith Blvd. NE
Albuquerque, NM 87113

Contact Pubs Warehouse
","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2023-12-20","noUsgsAuthors":false,"publicationDate":"2023-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Bell, Meghan T. 0000-0003-4993-1642 mtbell@usgs.gov","orcid":"https://orcid.org/0000-0003-4993-1642","contributorId":197069,"corporation":false,"usgs":true,"family":"Bell","given":"Meghan","email":"mtbell@usgs.gov","middleInitial":"T.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Montero, N.Y. 0000-0002-2791-3390","orcid":"https://orcid.org/0000-0002-2791-3390","contributorId":295315,"corporation":false,"usgs":true,"family":"Montero","given":"N.Y.","email":"","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890619,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70250792,"text":"70250792 - 2023 - Nitrate-nitrogen and total phosphorus river loads","interactions":[],"lastModifiedDate":"2024-01-09T16:09:43.991087","indexId":"70250792","displayToPublicDate":"2023-12-20T09:47:37","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"title":"Nitrate-nitrogen and total phosphorus river loads","docAbstract":"Nitrate-nitrogen and total phosphorus loads from the major rivers draining Illinois were updated through the 2021 water year (Figure 3.1). Beginning with the 2023 biennial update to the Illinois NLRS, nutrient loads were estimated using data from the U.S. Geological Survey continuous monitoring stations rather than the original Illinois EPA monitoring stations. To maintain consistency with previous biennial report updates, the loads from the new sites were rescaled to match the original drainage areas (Table 3.1). As before, the statewide nutrient load was estimated by summing the loads of the eight major rivers adjusting for out-of-state contributions and unmonitored areas.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Illinois nutrient loss reduction strategy 2023 biennial update","largerWorkSubtype":{"id":2,"text":"State or Local Government Series"},"language":"English","publisher":"Illinois EPA","usgsCitation":"Hodson, T.O., 2023, Nitrate-nitrogen and total phosphorus river loads, 11 p.","productDescription":"11 p.","startPage":"25","endPage":"35","ipdsId":"IP-148328","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":424178,"rank":2,"type":{"id":15,"text":"Index 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In summer and early fall (June to September) 2020, water-quality data were collected at 13 stations along the mainstem of the Merrimack River and into the Merrimack River estuary. The data are allocated among three different datasets: discrete water sample data, discrete vertical profile data, and continuous data. The collective purpose of these datasets is to enable assessment of the overall water-quality conditions in the Merrimack River and estuary and to identify areas for potentially more targeted water-quality monitoring in the future.

The highest concentrations of nutrients—nitrogen and phosphorus—were found at the stations downstream from wastewater treatment plants in Lowell, Lawrence, and Haverhill. Nutrient concentrations measured in the Merrimack River estuary were not as high as those measured in the Merrimack River, indicating that other processes are affecting nutrient concentrations in the system. These data were collected coincident with a severe flash drought in New England. Analysis of the vertical profile and continuous data indicated that, for intermittent periods up to 5 days, water quality in some sections of the Merrimack River may not support designated uses for the waterbody as established in the Massachusetts surface water quality standards.

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Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-12-20","noUsgsAuthors":false,"publicationDate":"2023-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Laabs, Kaitlin L. 0000-0002-7798-3485","orcid":"https://orcid.org/0000-0002-7798-3485","contributorId":210817,"corporation":false,"usgs":true,"family":"Laabs","given":"Kaitlin L.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beaudoin, Casey 0000-0001-9021-0447","orcid":"https://orcid.org/0000-0001-9021-0447","contributorId":332585,"corporation":false,"usgs":true,"family":"Beaudoin","given":"Casey","email":"","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sorenson, Jason R. 0000-0001-5553-8594","orcid":"https://orcid.org/0000-0001-5553-8594","contributorId":203249,"corporation":false,"usgs":true,"family":"Sorenson","given":"Jason R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890552,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bissell, Alex 0000-0003-1379-2468","orcid":"https://orcid.org/0000-0003-1379-2468","contributorId":332586,"corporation":false,"usgs":true,"family":"Bissell","given":"Alex","email":"","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890554,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250591,"text":"fs20233050 - 2023 - Your land, your water—Using research to guide conservation practices on local farms in the Chesapeake Bay watershed","interactions":[],"lastModifiedDate":"2026-02-09T17:53:25.96033","indexId":"fs20233050","displayToPublicDate":"2023-12-19T10:15:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-3050","displayTitle":"Your Land, Your Water: Using Research to Guide Conservation Practices on Local Farms in the Chesapeake Bay Watershed","title":"Your land, your water—Using research to guide conservation practices on local farms in the Chesapeake Bay watershed","docAbstract":"

Agricultural lands are an important part of the economy and heritage of the Chesapeake Bay watershed and are a focus of conservation activities. Streams and rivers around farms provide communities with drinking water and recreational opportunities, but these local benefits can be impaired by elevated nutrient and sediment concentrations. Compared to inputs from the atmosphere, wastewater, and urban and suburban areas, agricultural lands are the largest source of nutrients and sediment in many Chesapeake Bay streams. Farmers are voluntary conservation partners and have an important role in improving water-quality conditions. This fact sheet summarizes recent scientific insights from the U.S. Geological Survey (USGS) that can help farmers use conservation practices and their knowledge of local site conditions to achieve cleaner water.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20233050","usgsCitation":"Webber, J.S., Clune, J.W., Soroka, A.M., and Hyer, K.E., 2023, Your land, your water—Using research to guide conservation practices on local farms in the Chesapeake Bay watershed: U.S. Geological Survey Fact Sheet 2023–3050, 4 p., https://doi.org/10.3133/fs20233050.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-155220","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true},{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true},{"id":37280,"text":"Virginia and West Virginia Water Science Center 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Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, Virginia 23228

Contact Pubs Warehouse

","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-12-19","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Webber, James S. 0000-0001-6636-1368","orcid":"https://orcid.org/0000-0001-6636-1368","contributorId":222000,"corporation":false,"usgs":true,"family":"Webber","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clune, John W. 0000-0002-3563-1975","orcid":"https://orcid.org/0000-0002-3563-1975","contributorId":205148,"corporation":false,"usgs":true,"family":"Clune","given":"John W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Soroka, Alexander M. 0000-0002-8002-5229","orcid":"https://orcid.org/0000-0002-8002-5229","contributorId":201664,"corporation":false,"usgs":true,"family":"Soroka","given":"Alexander","email":"","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hyer, Kenneth 0000-0002-7156-7472 kenhyer@usgs.gov","orcid":"https://orcid.org/0000-0002-7156-7472","contributorId":173409,"corporation":false,"usgs":true,"family":"Hyer","given":"Kenneth","email":"kenhyer@usgs.gov","affiliations":[{"id":5067,"text":"Northeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":890483,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250606,"text":"ofr20231090 - 2023 - Influence of a guide net on the presence and behavior of fish near the selective water withdrawal structure in Lake Billy Chinook, Oregon, 2022","interactions":[],"lastModifiedDate":"2026-02-18T21:58:29.869066","indexId":"ofr20231090","displayToPublicDate":"2023-12-19T10:10:34","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":"2023-1090","displayTitle":"Influence of a Guide Net on the Presence and Behavior of Fish Near the Selective Water Withdrawal Structure in Lake Billy Chinook, Oregon, 2022","title":"Influence of a guide net on the presence and behavior of fish near the selective water withdrawal structure in Lake Billy Chinook, Oregon, 2022","docAbstract":"

Imaging sonar was used to assess the influence of a fish guidance net, installed at the entrances to the selective water withdrawal (SWW) intake structure, in the forebay of Round Butte Dam, Oregon, on behavior, abundance, and timing of fish during the spring of 2022. The purposes of the SWW are (1) to direct surface currents in the forebay to attract and collect downriver migrating juvenile salmonid smolts (Chinook salmon [Oncorhynchus tshawytscha], sockeye salmon [O. nerka], and steelhead [O. mykiss]) from Lake Billy Chinook and (2) to enable operators of the SWW to withdraw water from surface and benthic elevations in the reservoir to manage downriver water temperatures. Part of the evaluation to determine how well the structure performs at collecting juvenile salmonids is (1) to regularly assess how fish are approaching the entrance, and (2) determine if operational flows and the installation of a guidance (lead) net near the SWW structure entrance can be optimized to increase the attraction of smolts present in the forebay of Lake Billy Chinook. The goal of this study was to provide data about the effects of the installation of a lead net on the movements and behaviors of juvenile salmonids near the entrance to the SWW to help inform decisions to improve downstream passage solutions.

Two imaging sonar units were deployed during the spring 2022 smolt out-migration period. One unit monitored fish movements near the south entrance and one unit monitored movements near the north entrance of the SWW, with the lead net between the two entrances. Both smolt and bull trout (Salvelinus confluentus)-size fish were regularly observed near the entrances, with greater abundances observed at night, corresponding with greater discharge through the SWW, as opposed to during the day when discharge was reduced. Smolt-size fish groups were primarily observed near the interior halves of each SWW entrance, and greater abundances of fish were observed at the south entrance. Increased counts of bull trout-size fish coincided with the increased abundances of smolt-size fish. Overall, the results indicate that (1) smolt-size fish were more abundant near the entrance of the SWW during periods of increased discharge, (2) bull trout-size fish were present at the SWW, and (3) a greater percentage of smolt-size fish were observed directed toward the entrances of the SWW during periods of increased discharge. The addition of the lead net may assist in orienting fish toward the entrances to the SWW.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231090","collaboration":"Prepared in cooperation with Portland General Electric","usgsCitation":"Smith, C.D., and Hatton, T.W., 2023, Influence of a guide net on the presence and behavior of fish near the selective water withdrawal structure in Lake Billy Chinook, Oregon, 2022: U.S. Geological Survey Open-File Report 2023–1090, 25 p., https://doi.org/10.3133/ofr20231090.","productDescription":"vii, 25 p.","onlineOnly":"Y","ipdsId":"IP-155570","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":423749,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231090/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2023-1090"},{"id":423751,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1090/ofr20231090.XML"},{"id":423750,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1090/Images"},{"id":423747,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1090/ofr20231090.jpg"},{"id":423748,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1090/ofr20231090.pdf","text":"Report","size":"10.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023-1090"},{"id":500154,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115707.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Oregon","otherGeospatial":"Lake Billy Chinook","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -121.64591331853623,\n 44.79048612033958\n ],\n [\n -121.64591331853623,\n 44.35814579483878\n ],\n [\n -121.03356092450966,\n 44.35814579483878\n ],\n [\n -121.03356092450966,\n 44.79048612033958\n ],\n [\n -121.64591331853623,\n 44.79048612033958\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishedDate":"2023-12-19","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Collin D. 0000-0003-4184-5686 cdsmith@usgs.gov","orcid":"https://orcid.org/0000-0003-4184-5686","contributorId":7915,"corporation":false,"usgs":true,"family":"Smith","given":"Collin D.","email":"cdsmith@usgs.gov","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":890543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hatton, Tyson W. 0000-0002-2874-0719","orcid":"https://orcid.org/0000-0002-2874-0719","contributorId":9112,"corporation":false,"usgs":true,"family":"Hatton","given":"Tyson W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":890544,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70250610,"text":"70250610 - 2023 - Examining the complex relations between climate and streamflow in the mid-atlantic region of the United States","interactions":[],"lastModifiedDate":"2023-12-20T12:41:47.680366","indexId":"70250610","displayToPublicDate":"2023-12-19T06:39:13","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10763,"text":"Environmental Research Communications","active":true,"publicationSubtype":{"id":10}},"title":"Examining the complex relations between climate and streamflow in the mid-atlantic region of the United States","docAbstract":"

We explored the complex relations between climate and streamflow in the Mid-Atlantic region of the United States. In 124 watersheds across this region, we quantified spatial and temporal variation in air temperature (AT), precipitation (P), and streamflow (Q) from 1981 through 2020. Upward directional trends in monthly values of AT, P, and Q indicated an increase of 0.27–1.9 degrees Celsius, 0.12–1.9 millimeters day−1, and 0.01–7.1 cubic meters s−1 day−1, respectively, over the 40-year period. Comparison of the first 20 years to the last 20 years of data indicated an acceleration in the trend slopes in AT, P, and Q. Changes also were observed in temporal trends in the center of volume (CV) of both P and Q, which generally occurred later in the year; the 7-day mean low flow increased, and the annual day of occurrence of the 7-day mean low flow occurred earlier in the year. Principal components analysis revealed differences in P, Q, CVP, and CVQ trends in watersheds with median elevations greater than and less than 400 meters, as well as by latitude. A seasonal analysis revealed that P increased throughout the study area in spring, summer, and fall but decreased in winter. AT, P, and Q have broadly increased across the region over the 40-year period, and the temporal, spatial, and seasonal changes in P have affected Q. Results highlight the strong couplings between climatic variability and watershed responses.

","language":"English","publisher":"IOPScience","doi":"10.1088/2515-7620/ad13a4","usgsCitation":"Rice, K.C., Mason, C.A., and Mills, A., 2023, Examining the complex relations between climate and streamflow in the mid-atlantic region of the United States: Environmental Research Communications, v. 5, 125008, 12 p., https://doi.org/10.1088/2515-7620/ad13a4.","productDescription":"125008, 12 p.","ipdsId":"IP-147182","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":441396,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2515-7620/ad13a4","text":"Publisher Index Page"},{"id":435109,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZJ8OLR","text":"USGS data release","linkHelpText":"Selected inputs for examining the complex relations between climate and streamflow in the Mid-Atlantic region of the United States"},{"id":423787,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, North Carolina, Virginia, West Virginia","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-79.476662,39.721078],[-75.810068,39.721906],[-75.693521,38.460128],[-75.053483,38.451274],[-75.192925,38.097819],[-75.962596,37.117535],[-75.981624,37.434116],[-75.712065,37.936082],[-75.846621,37.925785],[-75.938577,38.272329],[-76.254473,38.31512],[-76.320843,38.459862],[-76.190902,38.621092],[-76.308922,38.813346],[-76.205063,38.892726],[-76.338047,38.895034],[-76.168332,38.996546],[-76.27566,39.160304],[-75.986298,39.510398],[-76.497977,39.204697],[-76.438845,39.0529],[-76.559697,38.767443],[-76.329433,38.073986],[-77.040638,38.444618],[-77.256412,38.396755],[-77.175969,38.604113],[-77.298844,38.508724],[-77.286202,38.347025],[-77.024866,38.386791],[-76.910832,38.197073],[-76.265998,37.91138],[-76.339892,37.655966],[-76.722156,37.83668],[-76.252415,37.447274],[-76.475927,37.250543],[-76.300352,37.00885],[-76.780532,37.209336],[-76.482407,36.917364],[-75.972151,36.842268],[-75.533012,35.787377],[-75.960069,36.495025],[-75.791637,36.082267],[-76.132005,36.287773],[-76.191715,36.107197],[-76.447812,36.192514],[-76.298733,36.1012],[-76.575936,36.006167],[-76.721445,36.147838],[-76.675462,36.266882],[-76.744436,36.212725],[-76.608052,35.936668],[-76.014685,35.960361],[-76.046813,35.717935],[-75.86042,35.978262],[-75.713502,35.693993],[-76.165392,35.328659],[-76.499251,35.381492],[-76.586349,35.508957],[-76.476706,35.511707],[-76.634468,35.510332],[-76.580187,35.387113],[-77.023912,35.514802],[-76.472273,35.294936],[-76.801426,34.964369],[-76.958465,35.047647],[-76.762931,34.920374],[-76.463468,35.076411],[-76.332044,34.970917],[-76.524712,34.681964],[-76.673619,34.71491],[-76.523303,34.652271],[-76.093349,35.048705],[-76.524199,34.615416],[-76.726969,34.69669],[-77.209161,34.605032],[-77.713322,34.294879],[-77.956881,33.87779],[-78.509042,33.865515],[-79.631577,34.768835],[-80.771792,34.819646],[-80.906416,35.076616],[-81.138207,35.155417],[-82.417597,35.200131],[-83.108535,35.000771],[-84.321869,34.988408],[-84.260319,35.241877],[-84.02911,35.292176],[-83.978286,35.44782],[-82.995803,35.773128],[-82.637165,36.065805],[-82.531292,35.972188],[-82.349957,36.117109],[-82.054142,36.126821],[-81.762371,36.338856],[-81.692167,36.562695],[-81.826742,36.614215],[-83.645586,36.600002],[-82.895445,36.882145],[-82.722097,37.120168],[-81.968297,37.537798],[-82.39968,37.829935],[-82.638398,38.152157],[-82.595382,38.382712],[-82.181967,38.599384],[-82.068864,38.984878],[-81.759995,38.925828],[-81.814155,39.073478],[-81.692203,39.236091],[-80.865575,39.662751],[-80.602895,40.327869],[-80.603876,40.625064],[-80.52566,40.636068],[-80.519342,39.721403],[-79.476662,39.721078]],[[-77.038598,38.791513],[-77.002498,38.96541],[-77.0915,38.95651],[-77.038598,38.791513]]],[[[-75.753765,35.199612],[-75.523952,35.318198],[-75.533512,35.773577],[-75.52592,35.233839],[-75.982812,35.081513],[-75.753765,35.199612]]]]},\"properties\":{\"name\":\"Maryland\",\"nation\":\"USA \"}}]}","volume":"5","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Rice, Karen C. 0000-0002-9356-5443 kcrice@usgs.gov","orcid":"https://orcid.org/0000-0002-9356-5443","contributorId":178269,"corporation":false,"usgs":true,"family":"Rice","given":"Karen","email":"kcrice@usgs.gov","middleInitial":"C.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":890556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mason, Christopher A. 0000-0001-9001-8244","orcid":"https://orcid.org/0000-0001-9001-8244","contributorId":225681,"corporation":false,"usgs":true,"family":"Mason","given":"Christopher","middleInitial":"A.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mills, Aaron L.","contributorId":189745,"corporation":false,"usgs":false,"family":"Mills","given":"Aaron L.","affiliations":[],"preferred":false,"id":890558,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70259695,"text":"70259695 - 2023 - Two-dimensional inverse energy cascade in a laboratory surf zone for varying wave directional spread","interactions":[],"lastModifiedDate":"2024-10-21T11:29:40.817354","indexId":"70259695","displayToPublicDate":"2023-12-19T06:26:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3070,"text":"Physics of Fluids","active":true,"publicationSubtype":{"id":10}},"title":"Two-dimensional inverse energy cascade in a laboratory surf zone for varying wave directional spread","docAbstract":"

Surfzone eddies enhance the dispersion and transport of contaminants, bacteria, and larvae across the nearshore, altering coastal water quality and ecosystem health. During directionally spread wave conditions, vertical vortices (horizontal eddies) are injected near the ends of breaking crests. Energy associated with these eddies may be transferred to larger-scale, low-frequency rotational motions through an inverse energy cascade, consistent with two-dimensional turbulence. However, our understanding of the relationships between the wave conditions and the dynamics and energetics of low-frequency surfzone eddies are largely based on numerical modeling. Here, we test these relationships with remotely sensed and in situ observations from large-scale directional wave basin experiments with varying wave conditions over alongshore-uniform barred bathymetry. Surface velocities derived with particle image velocimetry were employed to assess the spatial scales of low-frequency surfzone eddies and compute structure functions with alongshore velocities. Second-order structure functions for directionally spread waves (⁠ 

","language":"English","publisher":"AIP Publishing","doi":"10.1063/5.0169895","usgsCitation":"Baker, C., Moulton, M., Chickadel, C.C., Nuss, E., Palmsten, M.L., and Brodie, K.L., 2023, Two-dimensional inverse energy cascade in a laboratory surf zone for varying wave directional spread: Physics of Fluids, v. 35, 125140, 18 p., https://doi.org/10.1063/5.0169895.","productDescription":"125140, 18 p.","ipdsId":"IP-156274","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":467067,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1063/5.0169895","text":"Publisher Index Page"},{"id":463055,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","noUsgsAuthors":false,"publicationDate":"2023-12-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Baker, Christine","contributorId":305678,"corporation":false,"usgs":false,"family":"Baker","given":"Christine","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":916354,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moulton, Melissa","contributorId":194341,"corporation":false,"usgs":false,"family":"Moulton","given":"Melissa","email":"","affiliations":[],"preferred":false,"id":916355,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chickadel, C Chris 0000-0002-0770-7725","orcid":"https://orcid.org/0000-0002-0770-7725","contributorId":221998,"corporation":false,"usgs":false,"family":"Chickadel","given":"C","email":"","middleInitial":"Chris","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":916356,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nuss, Emma","contributorId":305681,"corporation":false,"usgs":false,"family":"Nuss","given":"Emma","email":"","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":916357,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palmsten, Margaret L. 0000-0002-6424-2338","orcid":"https://orcid.org/0000-0002-6424-2338","contributorId":239955,"corporation":false,"usgs":true,"family":"Palmsten","given":"Margaret","email":"","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":916358,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brodie, Katherine L.","contributorId":345330,"corporation":false,"usgs":false,"family":"Brodie","given":"Katherine","email":"","middleInitial":"L.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":916359,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70256475,"text":"70256475 - 2023 - The context dependency of fish-habitat associations in separated karst ecoregions","interactions":[],"lastModifiedDate":"2024-08-07T16:04:22.691671","indexId":"70256475","displayToPublicDate":"2023-12-18T10:54:40","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":"The context dependency of fish-habitat associations in separated karst ecoregions","docAbstract":"

Fish populations may be isolated via natural conditions in geographically separated ecoregions. Although reconnecting these populations is not a management goal, we need to understand how these populations persist across landscapes to develop meaningful conservation actions, particularly for species occupying sensitive karst ecosystems. Our study objective was to determine the physicochemical factors related to the occurrence of four spring-associated fishes. Arbuckle Uplift and Ozark Highlands ecoregions, USA. We used a hierarchical approach to identify habitat relationships at multiple spatial scales. We collected detection data using snorkeling and seining. We examined the physicochemical relationships related to the detection and occurrence of four spring-associated fishes using occupancy modeling in a Bayesian framework. We found physicochemical relationships that differed and were similar between ecoregions for several fishes. For three species, we found different water temperature relationships between ecoregions. Smallmouth bass were ubiquitous in their use of drainage areas in the Ozark Highlands but only associated with the lower network of the Arbuckle Uplift. There were several mirrored relationships between ecoregions, including an interaction between residual pool depth and water temperature, where sites with deeper pools were more likely to be occupied during warmer water temperatures. There were single-species occurrence relationships with percent vegetation and percent agriculture. Lastly, snorkeling was a more efficient sampling method compared to seining for all fishes. Our results indicate stream temperature mitigation may be possible via the maintenance of key channel morphologies, and we identify shared stressors between ecoregions. Channel mitigation to maintain reaches with deeper pools may be an important strategy for maintaining thermal refugia, particularly when considering climate change. Identifying the mechanistic underpinning of other multiscale ecological relationships would be helpful to discern if some of the different ecoregion relationships represent warning signals or interactions with unmeasured biotic or abiotic factors.

","language":"English","publisher":"Wiley","doi":"10.1002/ece3.10701","usgsCitation":"Swedberg, D.A., Mollenhauer, R.M., and Brewer, S.K., 2023, The context dependency of fish-habitat associations in separated karst ecoregions: Ecology and Evolution, v. 13, no. 12, e10701, 18 p., https://doi.org/10.1002/ece3.10701.","productDescription":"e10701, 18 p.","ipdsId":"IP-146272","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":441399,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.10701","text":"Publisher Index Page"},{"id":432361,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.6056935051375,\n 36.99095780343694\n ],\n [\n -95.25818479665297,\n 36.77262795781087\n ],\n [\n -95.51281809235115,\n 35.597221761955254\n ],\n [\n -94.4536118118592,\n 35.530687987028585\n ],\n [\n -94.6056935051375,\n 36.99095780343694\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.16528274367352,\n 34.594939532905144\n ],\n [\n -97.44206576958777,\n 33.94434112413069\n ],\n [\n -96.10069816898147,\n 33.94433280692786\n ],\n [\n -96.13328126204877,\n 34.75563707296074\n ],\n [\n -97.16528274367352,\n 34.594939532905144\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Swedberg, Dusty A.","contributorId":340779,"corporation":false,"usgs":false,"family":"Swedberg","given":"Dusty","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907545,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mollenhauer, Robert M.","contributorId":340780,"corporation":false,"usgs":false,"family":"Mollenhauer","given":"Robert","email":"","middleInitial":"M.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907546,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907547,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250712,"text":"70250712 - 2023 - Bayesian hierarchical modeling for probabilistic estimation of tsunami amplitude from far-field earthquake sources","interactions":[],"lastModifiedDate":"2023-12-28T12:44:48.760618","indexId":"70250712","displayToPublicDate":"2023-12-18T06:36:38","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2321,"text":"Journal of Geophysical Research: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Bayesian hierarchical modeling for probabilistic estimation of tsunami amplitude from far-field earthquake sources","docAbstract":"

Evaluation of tsunami disaster risk for a coastal region requires reliable estimation of tsunami hazard, for example, wave amplitude close to the shore. Observed tsunami data are scarce and have poor spatial coverage, and for this reason probabilistic tsunami hazard analysis (PTHA) traditionally relies on numerical simulation of “synthetic” tsunami generation and propagation toward the coast. Such an approach has been extensively studied in the past and it is widely recognized as an important disaster-risk mitigation tool. PTHA can not only provide less uncertain and spatially coherent hazard estimates in comparison with classical empirical data analysis which is restricted at the tide gauge stations, but also local inundation information. In this paper, we explore a purely statistical alternative to traditional PTHA for evaluation of tsunami amplitude hazard. Here, we use tide gauge measurements of tsunami amplitude along the western United States, specifically California and Oregon, and develop a spatial Bayesian hierarchical model (BHM) to assess tsunami hazard from far-field earthquake sources at various recurrence intervals. The configuration of our model incorporates latent Gaussian fields that utilize information on the distance between tide gauges as well as on the continental shelf width, that is, a covariate linked to potential dissipative effects on wave energy as the tsunami travels over shallow water. Through our BHM, we produce spatially continuous probabilistic maps of far-field tsunami hazard which can aid comprehensive tsunami disaster risk reduction and management.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023JC020002","usgsCitation":"Boumis, G., Geist, E.L., and Lee, D., 2023, Bayesian hierarchical modeling for probabilistic estimation of tsunami amplitude from far-field earthquake sources: Journal of Geophysical Research: Oceans, v. 128, no. 12, e2023JC020002, 16 p., https://doi.org/10.1029/2023JC020002.","productDescription":"e2023JC020002, 16 p.","ipdsId":"IP-151939","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":499265,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023jc020002","text":"Publisher Index Page"},{"id":423956,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, Oregon, Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.89613542356796,\n 48.497460056867624\n ],\n [\n -126.0601979235679,\n 49.01892139292943\n ],\n [\n -126.0601979235679,\n 44.94434930821649\n ],\n [\n -126.41176042356773,\n 40.75865742539179\n ],\n [\n -125.35707292356773,\n 38.45677055335565\n ],\n [\n -123.24769792356778,\n 34.64558981782825\n ],\n [\n -120.61097917356783,\n 33.0397043679928\n ],\n [\n -118.32582292356796,\n 32.0767084901876\n ],\n [\n -115.33754167356793,\n 32.37411455892672\n ],\n [\n -120.17152604856793,\n 36.78614622387245\n ],\n [\n -122.80824479856787,\n 39.95497361468907\n ],\n [\n -122.80824479856787,\n 43.94038749428063\n ],\n [\n -122.89613542356796,\n 48.497460056867624\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"128","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Boumis, Georgios 0000-0001-7825-5239","orcid":"https://orcid.org/0000-0001-7825-5239","contributorId":332846,"corporation":false,"usgs":false,"family":"Boumis","given":"Georgios","email":"","affiliations":[{"id":79664,"text":"Center for Complex Hydrosystems Research, University of Alabama","active":true,"usgs":false}],"preferred":false,"id":891060,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Geist, Eric L. 0000-0003-0611-1150","orcid":"https://orcid.org/0000-0003-0611-1150","contributorId":15543,"corporation":false,"usgs":true,"family":"Geist","given":"Eric","email":"","middleInitial":"L.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":891061,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Danhyang","contributorId":332847,"corporation":false,"usgs":false,"family":"Lee","given":"Danhyang","email":"","affiliations":[{"id":36730,"text":"University of Alabama","active":true,"usgs":false}],"preferred":false,"id":891062,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250474,"text":"sir20235121 - 2023 - Hydrogeology, karst, and groundwater availability of Monroe County, West Virginia","interactions":[],"lastModifiedDate":"2026-03-13T15:40:20.136121","indexId":"sir20235121","displayToPublicDate":"2023-12-14T07:40:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-5121","displayTitle":"Hydrogeology, Karst, and Groundwater Availability of Monroe County, West Virginia","title":"Hydrogeology, karst, and groundwater availability of Monroe County, West Virginia","docAbstract":"

Monroe County is in southeastern West Virginia, encompassing an area of 474 square miles. The area consists of karst and siliciclastic aquifers of Ordovician, Silurian, Devonian, and Mississippian age and is in parts of two physiographic provinces: the Valley and Ridge Province to the east of Peters Mountain, and the Appalachian Plateau Province to the west of Peters Mountain. This study was developed in response to inquiries from the Monroe County Commission requesting assessment of the water resources of the county to better understand the quantity of the county’s groundwater resources, for both current [2023] and future demand, and to provide information to support protection and management of the county’s valuable groundwater resources.

Various products were developed for this study that provide knowledge with respect to water availability and contamination susceptibility of the karst aquifers within the county. U.S. Geological Survey (USGS) geologists conducted extensive geologic mapping in support of the project, producing (1) a countywide bedrock geologic map, (2) a countywide hydrogeologic map, and (3) a light detection and ranging (lidar)-derived countywide digital elevation model and associated sinkhole map. A significant part of this work was to map in detail the Greenbrier Group at the formation level, which prior to this study had only partially been completed. The report also includes (4) a description of the lithologic units identified as part of the geologic mapping process.

U.S. Geological Survey hydrologists completed several additional products for the hydrology part of the effort, including development of (1) a countywide potentiometric surface (water-table) map, (2) a countywide base-flow stream assessment, (3) countywide water-budget estimates, (4) well log surveys for 15 wells to better understand subsurface controls on groundwater flow within the study area, (5) two groundwater tracer tests to better refine the groundwater divide from the northern and southern parts of the karst aquifer in Monroe County; and finally, based on all available data collected for the study including the potentiometric surface map, geologic map, current [2023] and legacy fluorometric groundwater tracer tests, and base-flow stream assessments, (6) groundwater-basin delineations were reassessed for principal groundwater basins within the Greenbrier aquifer.

In Monroe County, four principal hydrogeologic settings produce large yields of water for residential, agricultural, and other uses. The most relied upon water-bearing zone with respect to current [2023] public water supply is from springs along Peters Mountain. These springs are derived from intervals of fractured sandstone and resultant alluvial deposits. Groundwater flows downslope through these permeable alluvial deposits and discharges at the contact with less permeable strata, such as the Reedsville Shale. The second most relied upon water-bearing zone in Monroe County is within the karstic Greenbrier Group aquifer, in which the basal Hillsdale Limestone overlies the less permeable Maccrady Shale. This geologic contact between the Hillsdale Limestone and Maccrady Shale is not only targeted as a source of water for agricultural supply but also is targeted as a source of water for residential supply. The third most relied upon water-bearing zone is composed of shallow perched aquifers within the Greenbrier Group. The discontinuous nature of these perched aquifers makes mapping their extent impossible, but they are related to permeable geologic strata, such as karstified limestones with solutionally enhanced permeability that overlies less permeable shale or chert bedrock. During geologic mapping of the county, several of these perched aquifers were documented in the Pickaway, Union, and Alderson Limestones. A fourth zone consists of springs from Ordovician carbonates at the base of Peters Mountain, which are influenced by sinking streams as well as upwelling along faults. In terms of water quantity, the most sustainable springs are those having deeper-sourced flows.

Public supplies are a principal source of water used for residential and commercial supply in the region, accounting for 0.49 million gallons per day (Mgal/d) of fresh-water withdrawals (0.14 Mgal/d of groundwater and 0.35 Mgal/d of surface water) for residential and commercial use and serving 6,645 individuals (49.2 percent of the population). An estimated 6,861 people, (50.8 percent of the population) primarily rely on private wells or other unregulated sources, such as springs, and withdraw 0.55 Mgal/d of groundwater for their residential use. Public water supply in the region is primarily (71.4 percent) derived from springs and augmented by stream withdrawals (backup sources mainly during low-flow periods), with the remaining portion (28.6 percent) derived from groundwater withdrawals from wells. For rural residents, however, 100 percent of their withdrawals are derived from groundwater (wells or springs).

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Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, Virginia 23228

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2023-12-14","noUsgsAuthors":false,"publicationDate":"2023-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Kozar, Mark D. 0000-0001-7755-7657 mdkozar@usgs.gov","orcid":"https://orcid.org/0000-0001-7755-7657","contributorId":1963,"corporation":false,"usgs":true,"family":"Kozar","given":"Mark","email":"mdkozar@usgs.gov","middleInitial":"D.","affiliations":[{"id":37280,"text":"Virginia and West Virginia Water Science Center ","active":true,"usgs":true}],"preferred":true,"id":890052,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience 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Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":890061,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70250658,"text":"70250658 - 2023 - Inundation tolerance, rather than drought tolerance, predicts riparian plant distributions along a local hydrologic gradient","interactions":[],"lastModifiedDate":"2023-12-22T13:05:59.003272","indexId":"70250658","displayToPublicDate":"2023-12-14T07:04:44","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Inundation tolerance, rather than drought tolerance, predicts riparian plant distributions along a local hydrologic gradient","docAbstract":"

Riparian vegetation varies along hydrologic gradients, along which inundation and drought tend to be inversely correlated. Differentiating effects of inundation and drought on plant distributions is critical for predicting impacts of changes to baseflows and designing flow patterns to achieve vegetation objectives in regulated river systems. To this end, we conducted a greenhouse experiment where we decreased, increased, or maintained constant water levels experienced by a suite of riparian plant species. We related changes in new root growth and stomatal conductance under experimental conditions to species hydrologic niches in the field, specifically the median elevation at which they occur above the channel, along the regulated Colorado River in Grand Canyon. We found a significant negative relationship between root growth response to experimental inundation with increasing elevation above the channel in the field, and a negative response of stomatal conductance to inundation among the most xeric-adapted species. Drought responses were idiosyncratic with respect to hydrologic niche, and instead seemed to vary in relation to clonality and rooting depth. Several Salicaceae tree species that are uncommon along regulated rivers exhibited consistently negative responses to both drought and inundation relative to other species, which may explain their rarity. The results of this study suggest that riparian plant distributions along hydrologic gradients have been shaped primarily by current and past levels of inundation. However, future anticipated declines in the water table are likely to produce species-specific responses based on drought tolerance that may in part be predicted from the results of this experiment.

","language":"English","publisher":"Springer","doi":"10.1007/s13157-023-01730-2","usgsCitation":"Butterfield, B.J., and Palmquist, E.C., 2023, Inundation tolerance, rather than drought tolerance, predicts riparian plant distributions along a local hydrologic gradient: Wetlands, v. 44, no. 6, 6, 12 p., https://doi.org/10.1007/s13157-023-01730-2.","productDescription":"6, 12 p.","ipdsId":"IP-152535","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":423861,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"6","noUsgsAuthors":false,"publicationDate":"2023-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Butterfield, Bradley J. 0000-0003-0974-9811","orcid":"https://orcid.org/0000-0003-0974-9811","contributorId":167009,"corporation":false,"usgs":false,"family":"Butterfield","given":"Bradley","email":"","middleInitial":"J.","affiliations":[{"id":24591,"text":"Merriam-Powell Center for Environmental Research and Department of Biological Sciences, Northern Arizona University, Flagstaff, AZ, USA","active":true,"usgs":false}],"preferred":false,"id":890907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Palmquist, Emily C. 0000-0003-1069-2154 epalmquist@usgs.gov","orcid":"https://orcid.org/0000-0003-1069-2154","contributorId":5669,"corporation":false,"usgs":true,"family":"Palmquist","given":"Emily","email":"epalmquist@usgs.gov","middleInitial":"C.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":890906,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70251037,"text":"70251037 - 2023 - Identifying invasive species threats, pathways, and impacts to improve biosecurity","interactions":[],"lastModifiedDate":"2024-01-18T12:39:27.872516","indexId":"70251037","displayToPublicDate":"2023-12-14T06:36:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Identifying invasive species threats, pathways, and impacts to improve biosecurity","docAbstract":"

Managing invasive species with prevention and early-detection strategies can avert severe ecological and economic impacts. Horizon scanning, an evidence-based process combining risk screening and consensus building to identify threats, has become a valuable tool for prioritizing invasive species management and prevention. We assembled a working group of experts from academic, government, and nonprofit agencies and organizations, and conducted a multi-taxa horizon scan for Florida, USA, the first of its kind in North America. Our primary objectives were to identify high-risk species and their introduction pathways, to detail the magnitude and mechanism of potential impacts, and, more broadly, to demonstrate the utility of horizon scanning. As a means to facilitate future horizon scans, we document the process used to generate the list of taxa for screening. We evaluated 460 taxa for their potential to arrive, establish, and cause negative ecological and socioeconomic impacts, and identified 40 potential invaders, including alewife, zebra mussel, crab-eating macaque, and red swamp crayfish. Vertebrates and aquatic invertebrates posed the greatest invasion threat, over half of the high-risk taxa were omnivores, and there was high confidence in the scoring of high-risk taxa. Common arrival pathways were ballast water, biofouling of vessels, and escape from the pet/aquarium/horticulture trade. Competition, predation, and damage to agriculture/forestry/aquaculture were common impact mechanisms. We recommend full risk analysis for the high-risk taxa; increased surveillance at Florida's ports, state borders, and high-risk pathways; and periodic review and revision of the list. Few horizon scans detail the comprehensive methodology (including list-building), certainty estimates for all scoring categories and the final score, detailed pathways, and the magnitude and mechanism of impact. Providing this information can further inform prevention efforts and can be efficiently replicated in other regions. Moreover, harmonizing methodology can facilitate data sharing and enhance interpretation of results for stakeholders and the general public.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4711","usgsCitation":"Lieurance, D., Canavan, S., Behringer, D.C., Kendig, A., Minteer, C.R., Reisinger, L.S., Romagosa, C.M., Flory, S., Lockwood, J.L., Anderson, P., Baker, S.M., Bojko, J., Bowers, K.E., Canavan, K., Carruthers, K., Daniel, W., Gordon, D.R., Hill, J.E., Howeth, J., Iannone, B., Jennings, L., Gettys, L., Kariuki, E.M., Kunzer, J.M., Laughinghouse, H.D., Mandrak, N.E., McCann, S., Morawo, T., Morningstar, C.R., Neilson, M., Petri, T., Pfingsten, I., Reed, R., Walters, L., and Wanamaker, C., 2023, Identifying invasive species threats, pathways, and impacts to improve biosecurity: Ecosphere, v. 14, no. 12, e4711, 16 p., https://doi.org/10.1002/ecs2.4711.","productDescription":"e4711, 16 p.","ipdsId":"IP-156894","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":441415,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4711","text":"Publisher Index Page"},{"id":424583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Lieurance, Deah 0000-0001-8176-3146","orcid":"https://orcid.org/0000-0001-8176-3146","contributorId":293605,"corporation":false,"usgs":false,"family":"Lieurance","given":"Deah","email":"","affiliations":[{"id":63333,"text":"Agronomy Department, University of Florida","active":true,"usgs":false}],"preferred":false,"id":892816,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Canavan, Susan 0000-0002-7972-7928","orcid":"https://orcid.org/0000-0002-7972-7928","contributorId":293598,"corporation":false,"usgs":false,"family":"Canavan","given":"Susan","email":"","affiliations":[{"id":63333,"text":"Agronomy Department, University of Florida","active":true,"usgs":false}],"preferred":false,"id":892817,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Behringer, Donald C.","contributorId":333440,"corporation":false,"usgs":false,"family":"Behringer","given":"Donald","email":"","middleInitial":"C.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":892818,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kendig, Amy E.","contributorId":333442,"corporation":false,"usgs":false,"family":"Kendig","given":"Amy E.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":892819,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Minteer, Carey R.","contributorId":333444,"corporation":false,"usgs":false,"family":"Minteer","given":"Carey","email":"","middleInitial":"R.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":892820,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reisinger, Lindsey S.","contributorId":333446,"corporation":false,"usgs":false,"family":"Reisinger","given":"Lindsey","email":"","middleInitial":"S.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":892821,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Romagosa, Christina M.","contributorId":200925,"corporation":false,"usgs":false,"family":"Romagosa","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":892822,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Flory, S. 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In 2020 and 2021, the U.S. Geological Survey, Cape Cod National Seashore of the National Park Service, and Friends of Herring River cooperated to assess nutrient and suspended sediment concentrations across the ocean-estuary boundary at a dike on the Herring River on Chequessett Neck Road in Wellfleet, Massachusetts, that has restricted saltwater inputs by regulating water inflow through three culverts or sluiceways into the watershed for more than 100 years. The dike is slated to be removed, and the purpose of this project was to characterize natural variability of nutrient and suspended sediment concentration during flood tide and ebb tide conditions at the dike based on seasonal and environmental variables. This baseline can be used to assess if removal of the dike is likely to result in measurable changes in water quality.

Data from the current [2023] study were aggregated with previously published data from November 2015 through September 2018 to provide a long-term record. Samples for the current [2023] study were collected from flood and following ebb tides approximately twice per month from June 2020 through December 2021 at fixed time intervals after the beginning of the tides. Samples were analyzed for nitrate plus nitrite, ammonium, total dissolved nitrogen, total nitrogen, orthophosphate, total dissolved phosphorus, total phosphorus, silica, dissolved organic carbon, and suspended sediment. Constituent concentrations generally were lower using fixed time sampling than in previous studies that used flow-weighted composite sampling, except for nitrate plus nitrite and orthophosphate. Concentrations of nitrate plus nitrite, ammonium, total nitrogen, total dissolved nitrogen, silica, and dissolved organic nitrogen generally were higher on the ebb tide than on the flood tide. By contrast, concentrations of orthophosphate, total phosphorus, and total dissolved phosphorus were generally similar between flood and ebb tides.

Most nutrient concentrations except silica and ammonium varied seasonally on flood and ebb tides. Phosphorus species, total nitrogen, and dissolved organic carbon concentrations generally peaked in mid- to late summer and were lowest in winter. For nitrate, the reverse was true. Nutrient concentrations generally were higher on the ebb tide than on the flood tide except for total dissolved phosphorus and total phosphorus where differences between flood and ebb tide depended on season. Constituent concentrations were similar between spring, neap, and midamplitude tides on both the flood and ebb tides.

Nitrate, ammonium, total nitrogen, and silica concentrations were positively correlated with precipitation and runoff. Orthophosphate, total dissolved phosphorus, total phosphorus, and dissolved organic carbon were positively correlated with surface air temperature, downwelling shortwave radiation, and ocean water temperature. Nitrate, ammonium, and silica concentration were negatively correlated with surface air temperature and ocean water temperature. Orthophosphate and total dissolved phosphorus were negatively correlated with runoff. Nitrate plus nitrite, ammonium, and silica concentrations were negatively correlated with downwelling shortwave radiation.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235120","collaboration":"Prepared in cooperation with the National Park Service and the Friends of Herring River","usgsCitation":"Huntington, T.G., 2023, Assessment of prerestoration water quality in the Herring River to support adaptive management at the Cape Cod National Seashore: U.S. Geological Survey Scientific Investigations Report 2023–5120, 51 p., https://doi.org/10.3133/sir20235120.","productDescription":"Report: viii, 51 p.; Data Release; 2 Appendixes","numberOfPages":"51","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-143243","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":501158,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115686.htm","linkFileType":{"id":5,"text":"html"}},{"id":423334,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ZU5YHW","text":"USGS data release","linkHelpText":"Data supporting analysis of relations between nutrient concentrations in the Herring River on the ebb tide, near Wellfleet, Massachusetts, and environmental conditions, 2015–2022"},{"id":423333,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2023/5120/sir20235120_appendix3.pdf","text":"Appendix 3","size":"96.1 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Alert and Preliminary Guidance for Addressing Nitrogen Contamination of Pall Versapor GWV High-Capacity Capsule Filters"},{"id":423332,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2023/5120/sir20235120_appendix2.pdf","text":"Appendix 2","size":"19.3 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Field Methods—Interim Announcement for Change in Capsule-Filter Type, Supplier, and Instructions for Use"},{"id":423331,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5120/images/"},{"id":423330,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5120/sir20235120.XML"},{"id":423329,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235120/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2023-5120"},{"id":423328,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5120/sir20235120.pdf","text":"Report","size":"6.34 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5120"},{"id":423327,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5120/coverthb.jpg"}],"country":"United States","state":"Massachusetts","otherGeospatial":"Herring River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -70.07530273023929,\n 41.972935131526725\n ],\n [\n -70.07530273023929,\n 41.92351733741285\n ],\n [\n -70.00976667801922,\n 41.92351733741285\n ],\n [\n -70.00976667801922,\n 41.972935131526725\n ],\n [\n -70.07530273023929,\n 41.972935131526725\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-12-13","noUsgsAuthors":false,"publicationDate":"2023-12-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Huntington, Thomas G. 0000-0002-9427-3530","orcid":"https://orcid.org/0000-0002-9427-3530","contributorId":218737,"corporation":false,"usgs":true,"family":"Huntington","given":"Thomas G.","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889897,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70249975,"text":"fs20233048 - 2023 - Characterizing urban heat islands across 50 major cities in the United States","interactions":[],"lastModifiedDate":"2026-02-09T17:51:15.965521","indexId":"fs20233048","displayToPublicDate":"2023-12-13T10:29:45","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2023-3048","displayTitle":"Characterizing Urban Heat Islands Across 50 Major Cities in the United States","title":"Characterizing urban heat islands across 50 major cities in the United States","docAbstract":"

Urban development and associated land-cover and land-use change alters the environment. The continued increase of developed land changes the Earth’s ecosystems and affects the resources provided to society. During the last 40 years, urban population in the United States has increased by more than 6.3 percent, and more than 80 percent of the U.S. population resides in urban areas. One of the changes associated with urbanization is the change of landscape features to structures such as buildings, roads, and other infrastructure that absorb and re-emit the heat of the sun more than natural landscapes such as forests and water bodies. This land-cover transition can result in an urban surface temperature that is higher than in a non-urban area, which is defined as a surface urban heat island (SUHI). A SUHI has a profound effect on the lives of urban residents and can exacerbate the risk of heat-related mortality associated with global climate change. The change of urban landscapes and climate conditions can affect the SUHI intensity. The U.S. Geological Survey (USGS) has developed a dataset of SUHI intensity and change from 1985 to 2020 over 50 cities in the United States using Landsat surface temperature (ST) and land-cover data. The data reveal SUHI spatial distributions and temporal trends in these cities. The 50-city mean SUHI intensity reaches 2.88 degrees Celsius (°C) (5.19 degrees Fahrenheit [°F]) and an average trend of 0.32 °C per decade (0.58 °F per decade). The data also provide spatial distributions of hotspots where annual mean ST is higher than in the surrounding areas that have the same urban land-cover type and high ST that repeated more than 50 percent of the time during 1985–2020 for 50 cities.

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Director, Earth Resources Observation and Science Center
U.S. Geological Survey
47914 252nd Street
Sioux Falls, SD 57198

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2023-12-12","noUsgsAuthors":false,"publicationDate":"2023-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Xian, George Z. 0000-0001-5674-2204 xian@usgs.gov","orcid":"https://orcid.org/0000-0001-5674-2204","contributorId":2263,"corporation":false,"usgs":true,"family":"Xian","given":"George","email":"xian@usgs.gov","middleInitial":"Z.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":887881,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70250479,"text":"70250479 - 2023 - Critical review of the phytohemagglutinin assay for assessing amphibian immunity","interactions":[],"lastModifiedDate":"2023-12-13T12:34:49.424681","indexId":"70250479","displayToPublicDate":"2023-12-13T06:31:11","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":"Critical review of the phytohemagglutinin assay for assessing amphibian immunity","docAbstract":"

Infectious diseases are a major driver of the global amphibian decline. In addition, many factors, including genetics, stress, pollution, and climate change can influence the response to pathogens. Therefore, it is important to be able to evaluate amphibian immunity in the laboratory and in the field. The phytohemagglutinin (PHA) assay is an inexpensive and relatively non-invasive tool that has been used extensively to assess immunocompetence, especially in birds, and more recently in amphibians. However, there is substantial variation in experimental methodology among amphibian PHA studies in terms of species and life stages, PHA doses and injection sites, and use of experimental controls. Here, we compile and compare all known PHA studies in amphibians to identify knowledge gaps and develop best practices for future work. We found that research has only been conducted on a limited number of species, which may not reflect the diversity of amphibians. There is also a lack of validation studies in most species, so that doses and timing of PHA injection and subsequent swelling measurements may not effectively evaluate immunocompetence. Based on these and other findings, we put forward a set of recommendations to make future PHA studies more consistent and improve the ability to utilize this assay in wild populations, where immune surveillance is greatly needed.

","language":"English","publisher":"Oxford Academic Press","doi":"10.1093/conphys/coad090","usgsCitation":"Hawley, L., Smalling, K., and Glaberman, S., 2023, Critical review of the phytohemagglutinin assay for assessing amphibian immunity: Conservation Physiology, v. 11, no. 1, coad090, 23 p., https://doi.org/10.1093/conphys/coad090.","productDescription":"coad090, 23 p.","ipdsId":"IP-150838","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":441422,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coad090","text":"Publisher Index Page"},{"id":423506,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Hawley, Lauren","contributorId":332337,"corporation":false,"usgs":false,"family":"Hawley","given":"Lauren","email":"","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":890070,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":890071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glaberman, Scott 0000-0003-0594-4732","orcid":"https://orcid.org/0000-0003-0594-4732","contributorId":266060,"corporation":false,"usgs":false,"family":"Glaberman","given":"Scott","email":"","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":890072,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70256496,"text":"70256496 - 2023 - Decision analysis to advance environmental sustainability","interactions":[],"lastModifiedDate":"2024-08-07T16:25:02.875582","indexId":"70256496","displayToPublicDate":"2023-12-12T11:19:11","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":14243,"text":"Decision Analysis","active":true,"publicationSubtype":{"id":10}},"title":"Decision analysis to advance environmental sustainability","docAbstract":"

Decision analysis provides a robust framework for complex decisions related to environmental sustainability and conservation, including for energy and water, fisheries and wildlife management, agriculture, and climate change response. The complexities of these problems stem from their large scope and scale, which leads to multiple decision makers, stakeholders, rightsholders, and other entities with potentially competing objectives. These problems often are time limited (e.g., urgent action is required to prevent species’ extinction), involve management interventions over long time scales and delayed responses to management (deep uncertainty), and are impeded by limited resources (funding, capacity, etc.). In this Special Issue on “Decision Analysis to Advance Environmental Sustainability,” we present five case studies of applications of decision analysis to complex problems in environmental sustainability and conservation. These case studies incorporate multiple objectives related to ecological and environmental sustainability, economic and social concerns, and logistics of implementation. They showcase a wide range of tools and applications to these problems. We also provide suggestions for new avenues of research and application of decision analysis to problems of environmental sustainability and conservation, including how to incorporate other decision-making tools into decision analysis processes, how to broaden the reach of decision analysis to other sustainability problems, how to incorporate more stakeholders and rightsholders into the decision process, the potential to incorporate new technology into these processes, identifying more creative alternatives, how to secure more funding, ways to move from decision to action, and how to move beyond status quo to make big transitions necessary to achieve sustainability.

","language":"English","publisher":"Informs","doi":"10.1287/deca.2023.intro.v20.n4","usgsCitation":"Robinson, K.F., Baker, E., Ewing, E., Hemming, V., Kenney, M.A., and Runge, M.C., 2023, Decision analysis to advance environmental sustainability: Decision Analysis, v. 20, no. 4, p. 243-251, https://doi.org/10.1287/deca.2023.intro.v20.n4.","productDescription":"9 p.","startPage":"243","endPage":"251","ipdsId":"IP-156978","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":441426,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.31219/osf.io/qxcaj","text":"External Repository"},{"id":432363,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"20","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Robinson, Kelly Filer 0000-0001-8109-9492","orcid":"https://orcid.org/0000-0001-8109-9492","contributorId":340631,"corporation":false,"usgs":true,"family":"Robinson","given":"Kelly","email":"","middleInitial":"Filer","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907663,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baker, Erin","contributorId":340905,"corporation":false,"usgs":false,"family":"Baker","given":"Erin","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":907664,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ewing, Elizabeth","contributorId":340906,"corporation":false,"usgs":false,"family":"Ewing","given":"Elizabeth","email":"","affiliations":[{"id":81676,"text":"Ewing Smith Consulting LLC","active":true,"usgs":false}],"preferred":false,"id":907665,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hemming, Victoria","contributorId":340907,"corporation":false,"usgs":false,"family":"Hemming","given":"Victoria","email":"","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":907666,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kenney, Melissa A.","contributorId":340908,"corporation":false,"usgs":false,"family":"Kenney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":907667,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":907668,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250464,"text":"70250464 - 2023 - Carbonate chemistry and carbon sequestration driven by inorganic carbon outwelling from mangroves and saltmarshes","interactions":[],"lastModifiedDate":"2023-12-12T12:54:46.139953","indexId":"70250464","displayToPublicDate":"2023-12-11T06:50:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Carbonate chemistry and carbon sequestration driven by inorganic carbon outwelling from mangroves and saltmarshes","docAbstract":"

Mangroves and saltmarshes are biogeochemical hotspots storing carbon in sediments and in the ocean following lateral carbon export (outwelling). Coastal seawater pH is modified by both uptake of anthropogenic carbon dioxide and natural biogeochemical processes, e.g., wetland inputs. Here, we investigate how mangroves and saltmarshes influence coastal carbonate chemistry and quantify the contribution of alkalinity and dissolved inorganic carbon (DIC) outwelling to blue carbon budgets. Observations from 45 mangroves and 16 saltmarshes worldwide revealed that >70% of intertidal wetlands export more DIC than alkalinity, potentially decreasing the pH of coastal waters. Porewater-derived DIC outwelling (81 ± 47 mmol m−2 d−1 in mangroves and 57 ± 104 mmol m−2 d−1 in saltmarshes) was the major term in blue carbon budgets. However, substantial amounts of fixed carbon remain unaccounted for. Concurrently, alkalinity outwelling was similar or higher than sediment carbon burial and is therefore a significant but often overlooked carbon sequestration mechanism.

","language":"English","publisher":"Nature","doi":"10.1038/s41467-023-44037-w","usgsCitation":"Reithmaier, G., Cabral, A., Akhand, A., Bogard, M., Borges, A., Bouillon, S., Burdige, D.J., Call, M., Chen, N., Chen, X., , C., Eagle, M.J., Kristensen, E., Kroeger, K.D., Lu, Z., Maher, D., Perez-Llorens, L., Ray, R., Taillardat, P., Tamborski, J., Upstill-Goddard, R.C., Wang, F., Wang, Z., Xiao, K., Yau, Y., and Santos, I., 2023, Carbonate chemistry and carbon sequestration driven by inorganic carbon outwelling from mangroves and saltmarshes: Nature, v. 14, 8196, 8 p., https://doi.org/10.1038/s41467-023-44037-w.","productDescription":"8196, 8 p.","ipdsId":"IP-148223","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"links":[{"id":441438,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-023-44037-w","text":"Publisher Index Page"},{"id":423434,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","noUsgsAuthors":false,"publicationDate":"2023-12-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Reithmaier, Gloria","contributorId":332313,"corporation":false,"usgs":false,"family":"Reithmaier","given":"Gloria","email":"","affiliations":[{"id":12695,"text":"University of Gothenburg","active":true,"usgs":false}],"preferred":false,"id":890006,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cabral, Alex","contributorId":332314,"corporation":false,"usgs":false,"family":"Cabral","given":"Alex","email":"","affiliations":[{"id":12695,"text":"University of Gothenburg","active":true,"usgs":false}],"preferred":false,"id":890007,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Akhand, Anirban","contributorId":332315,"corporation":false,"usgs":false,"family":"Akhand","given":"Anirban","email":"","affiliations":[{"id":79448,"text":"Hong Kong University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":890008,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bogard, Matthew","contributorId":272635,"corporation":false,"usgs":false,"family":"Bogard","given":"Matthew","affiliations":[{"id":16962,"text":"U. Washington","active":true,"usgs":false}],"preferred":false,"id":890009,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Borges, Alberto V.","contributorId":268443,"corporation":false,"usgs":false,"family":"Borges","given":"Alberto V.","affiliations":[{"id":55646,"text":"Université de Liège, Unité d’Océanographie Chimique, Liège, Belgium","active":true,"usgs":false}],"preferred":false,"id":890010,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bouillon, Steven","contributorId":332316,"corporation":false,"usgs":false,"family":"Bouillon","given":"Steven","email":"","affiliations":[{"id":49038,"text":"KU Leuven","active":true,"usgs":false}],"preferred":false,"id":890011,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Burdige, David 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Xiaogang","contributorId":332318,"corporation":false,"usgs":false,"family":"Chen","given":"Xiaogang","email":"","affiliations":[{"id":79449,"text":"Westlake University","active":true,"usgs":false}],"preferred":false,"id":890015,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":" Cotovicz","contributorId":332319,"corporation":false,"usgs":false,"given":"Cotovicz","email":"","affiliations":[{"id":79450,"text":"Leibniz Institute for Baltic Sea Research","active":true,"usgs":false}],"preferred":false,"id":890016,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Eagle, Meagan J. 0000-0001-5072-2755 meagle@usgs.gov","orcid":"https://orcid.org/0000-0001-5072-2755","contributorId":242890,"corporation":false,"usgs":true,"family":"Eagle","given":"Meagan","email":"meagle@usgs.gov","middleInitial":"J.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science 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Zeyang","contributorId":332320,"corporation":false,"usgs":false,"family":"Lu","given":"Zeyang","email":"","affiliations":[{"id":63579,"text":"Xiamen University","active":true,"usgs":false}],"preferred":false,"id":890020,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Maher, Damien","contributorId":332322,"corporation":false,"usgs":false,"family":"Maher","given":"Damien","affiliations":[{"id":40535,"text":"Southern Cross University","active":true,"usgs":false}],"preferred":false,"id":890021,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Perez-Llorens, Lucas","contributorId":332324,"corporation":false,"usgs":false,"family":"Perez-Llorens","given":"Lucas","email":"","affiliations":[{"id":79451,"text":"University of Cadiz","active":true,"usgs":false}],"preferred":false,"id":890022,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Ray, Raghab","contributorId":332326,"corporation":false,"usgs":false,"family":"Ray","given":"Raghab","email":"","affiliations":[{"id":40674,"text":"The University of Tokyo","active":true,"usgs":false}],"preferred":false,"id":890023,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Taillardat, Pierre","contributorId":242983,"corporation":false,"usgs":false,"family":"Taillardat","given":"Pierre","email":"","affiliations":[{"id":40151,"text":"University of Quebec Montreal","active":true,"usgs":false}],"preferred":false,"id":890024,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Tamborski, Joseph","contributorId":267856,"corporation":false,"usgs":false,"family":"Tamborski","given":"Joseph","email":"","affiliations":[{"id":55518,"text":"Department of Marine Chemistry & Geochemistry, Woods Hole Oceanographic Institution","active":true,"usgs":false}],"preferred":false,"id":890025,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Upstill-Goddard, Robert C.","contributorId":239828,"corporation":false,"usgs":false,"family":"Upstill-Goddard","given":"Robert","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":890026,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Wang, Faming","contributorId":216959,"corporation":false,"usgs":false,"family":"Wang","given":"Faming","email":"","affiliations":[{"id":39553,"text":"The Ecosystems Center, Marine Biological Laboratory, Woods Hole, MA","active":true,"usgs":false}],"preferred":false,"id":890027,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Wang, Zhaohui Aleck","contributorId":174589,"corporation":false,"usgs":false,"family":"Wang","given":"Zhaohui Aleck","affiliations":[{"id":13627,"text":"Woods Hole Oceanographic Institution, Woods Hole, MA","active":true,"usgs":false}],"preferred":false,"id":890028,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Xiao, Kai","contributorId":332328,"corporation":false,"usgs":false,"family":"Xiao","given":"Kai","email":"","affiliations":[{"id":78727,"text":"Southern University of Science and Technology","active":true,"usgs":false}],"preferred":false,"id":890029,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Yau, Yvonne","contributorId":332329,"corporation":false,"usgs":false,"family":"Yau","given":"Yvonne","email":"","affiliations":[{"id":12695,"text":"University of Gothenburg","active":true,"usgs":false}],"preferred":false,"id":890030,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Santos, Isaac","contributorId":332330,"corporation":false,"usgs":false,"family":"Santos","given":"Isaac","email":"","affiliations":[{"id":12695,"text":"University of Gothenburg","active":true,"usgs":false}],"preferred":false,"id":890031,"contributorType":{"id":1,"text":"Authors"},"rank":26}]}} ,{"id":70250907,"text":"70250907 - 2023 - Comprehensive assessment of macroinvertebrate community condition and sediment toxicity in the Eighteenmile Creek Area of Concern, New York, 2021","interactions":[],"lastModifiedDate":"2024-01-11T14:18:39.001249","indexId":"70250907","displayToPublicDate":"2023-12-09T08:13:41","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Comprehensive assessment of macroinvertebrate community condition and sediment toxicity in the Eighteenmile Creek Area of Concern, New York, 2021","docAbstract":"

The degradation of benthic communities (benthos) is one of four remaining beneficial use impairments (BUIs) in the Eighteenmile Creek Area of Concern (AOC), located on the south shore of Lake Ontario in New York. The historical rationale for listing this BUI as impaired relied heavily on inferred or expected impact to benthic communities based on elevated contaminant concentrations in bed sediments from past industrial and municipal discharges, hazardous-waste disposal, and pesticide usage. Previous assessments of macroinvertebrate community condition in the AOC have produced inconclusive results, and it remains unclear if contaminated sediments are impairing benthic communities. In 2021, a comprehensive assessment of macroinvertebrate community condition and sediment toxicity was conducted at eight sites in the AOC and six sites in a reference area on Oak Orchard Creek to determine if the removal criteria for this BUI have been met or if additional remedial measures are needed. The New York multi-metric index of biological integrity classified the mean community condition across AOC sites as slightly impacted, and 10-day toxicity tests with Chironomus dilutus and Hyalella azteca found no evidence of toxicity in AOC sediments. Equivalence testing indicated that community condition, and survival and growth of both test species, were not inferior in the AOC relative to the reference area. The weight of evidence from this study and other relevant datasets indicate that sediment contamination is not causing measurable impairment to benthic communities in the Eighteenmile Creek AOC.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2023.08.004","usgsCitation":"George, S.D., Baldigo, B., Collins, S.M., Clarke, D.B., and Duffy, B.T., 2023, Comprehensive assessment of macroinvertebrate community condition and sediment toxicity in the Eighteenmile Creek Area of Concern, New York, 2021: Journal of Great Lakes Research, v. 49, no. 6, 102227, 10 p., https://doi.org/10.1016/j.jglr.2023.08.004.","productDescription":"102227, 10 p.","ipdsId":"IP-151185","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":441447,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2023.08.004","text":"Publisher Index Page"},{"id":424324,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Eighteenmile Creek Area of Concern","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.76802247403678,\n 43.2530939352541\n ],\n [\n -78.15600936774968,\n 43.2530939352541\n ],\n [\n -78.15600936774968,\n 43.399677287114656\n ],\n [\n -78.76802247403678,\n 43.399677287114656\n ],\n [\n -78.76802247403678,\n 43.2530939352541\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baldigo, Barry P. 0000-0002-9862-9119","orcid":"https://orcid.org/0000-0002-9862-9119","contributorId":25174,"corporation":false,"usgs":true,"family":"Baldigo","given":"Barry P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":892003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Collins, Scott M.","contributorId":333123,"corporation":false,"usgs":false,"family":"Collins","given":"Scott","email":"","middleInitial":"M.","affiliations":[{"id":79737,"text":"Niagara County Soil and Water Conservation District","active":true,"usgs":false}],"preferred":false,"id":892004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Clarke, David B.","contributorId":333124,"corporation":false,"usgs":false,"family":"Clarke","given":"David","email":"","middleInitial":"B.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":892005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Duffy, Brian T.","contributorId":272971,"corporation":false,"usgs":false,"family":"Duffy","given":"Brian","email":"","middleInitial":"T.","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":892006,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250791,"text":"70250791 - 2023 - Reproducibility starts at the source: R, Python, and Julia Packages for retrieving USGS hydrologic data","interactions":[],"lastModifiedDate":"2024-01-05T12:43:48.278129","indexId":"70250791","displayToPublicDate":"2023-12-09T06:41:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Reproducibility starts at the source: R, Python, and Julia Packages for retrieving USGS hydrologic data","docAbstract":"
Much of modern science takes place in a computational environment, and, increasingly, that environment is programmed using R, Python, or Julia. Furthermore, most scientific data now live on the cloud, so the first step in many workflows is to query a cloud database and load the response into a computational environment for further analysis. Thus, tools that facilitate programmatic data retrieval represent a critical component in reproducible scientific workflows. Earth science is no different in this regard. To fulfill that basic need, we developed R, Python, and Julia packages providing programmatic access to the U.S. Geological Survey’s National Water Information System database and the multi-agency Water Quality Portal. Together, these packages create a common interface for retrieving hydrologic data in the Jupyter ecosystem, which is widely used in water research, operations, and teaching. Source code, documentation, and tutorials for the packages are available on GitHub. Users can go there to learn, raise issues, or contribute improvements within a single platform, which helps foster better engagement and collaboration between data providers and their users.
","language":"English","publisher":"MDPI","doi":"10.3390/w15244236","usgsCitation":"Hodson, T.O., DeCicco, L.A., Hariharan, J.A., Stanish, L., Black, S., and Horsburgh, J., 2023, Reproducibility starts at the source: R, Python, and Julia Packages for retrieving USGS hydrologic data: Water, v. 15, no. 24, 4236, 10 p., https://doi.org/10.3390/w15244236.","productDescription":"4236, 10 p.","ipdsId":"IP-154080","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"links":[{"id":441453,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w15244236","text":"Publisher Index Page"},{"id":424128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"24","noUsgsAuthors":false,"publicationDate":"2023-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Hodson, Timothy O. 0000-0003-0962-5130","orcid":"https://orcid.org/0000-0003-0962-5130","contributorId":78634,"corporation":false,"usgs":true,"family":"Hodson","given":"Timothy","email":"","middleInitial":"O.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891480,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeCicco, Laura A. 0000-0002-3915-9487 ldecicco@usgs.gov","orcid":"https://orcid.org/0000-0002-3915-9487","contributorId":174716,"corporation":false,"usgs":true,"family":"DeCicco","given":"Laura","email":"ldecicco@usgs.gov","middleInitial":"A.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":5054,"text":"Office of Water Information","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":160,"text":"Center for Integrated Data Analytics","active":false,"usgs":true}],"preferred":true,"id":891481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hariharan, Jayaram Athreya 0000-0002-1343-193X","orcid":"https://orcid.org/0000-0002-1343-193X","contributorId":332949,"corporation":false,"usgs":true,"family":"Hariharan","given":"Jayaram","email":"","middleInitial":"Athreya","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":891482,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanish, Lee 0000-0002-9775-6861","orcid":"https://orcid.org/0000-0002-9775-6861","contributorId":332950,"corporation":false,"usgs":true,"family":"Stanish","given":"Lee","email":"","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":891483,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Black, Scott","contributorId":195434,"corporation":false,"usgs":false,"family":"Black","given":"Scott","email":"","affiliations":[{"id":34267,"text":"The Xerces Society for Invertebrate Conservation","active":true,"usgs":false}],"preferred":false,"id":891484,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Horsburgh, J. S. 0000-0002-0768-3196","orcid":"https://orcid.org/0000-0002-0768-3196","contributorId":248851,"corporation":false,"usgs":false,"family":"Horsburgh","given":"J. S.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":891485,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250461,"text":"70250461 - 2023 - Differential heat shock protein responses in two species of Pacific salmon and their utility in identifying heat stress","interactions":[],"lastModifiedDate":"2023-12-12T12:41:27.355729","indexId":"70250461","displayToPublicDate":"2023-12-07T06:39:27","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":"Differential heat shock protein responses in two species of Pacific salmon and their utility in identifying heat stress","docAbstract":"

Rapid and accelerating warming of salmon habitat has the potential to lower productivity of Pacific salmon (Oncorhynchus species) populations. Heat stress biomarkers can indicate where warming is most likely affecting fish populations; however, we often lack clear classifications that separate individuals with and without heat stress needed to make these tools operational. We conducted a heat exposure experiment with trials lasting 12 or 36 h using juvenile Chinook salmon (Oncorhynchus tshawytscha) and coho salmon (Oncorhynchus kisutch) to validate heat stress biomarkers in white muscle. Following habituation to 13°C, individuals were exposed to water temperatures that increased to 15°C, 17°C, 19°C, 21°C or 23°C. Heat shock protein 70 abundance (HSP70 measured by ELISA) and transcription of 13 genes (mRNA measured by qPCR) including three heat shock protein genes (hsp70, hsp90, hsp27) were measured. A distinct heat stress response was apparent by 21°C in juvenile Chinook salmon and 23°C in juvenile coho salmon using HSP70. A threshold for heat stress classification in Chinook salmon of > 2 ng HSP70 mg.1 total protein identified heat stress in 100% of 21 and 23°C treated individuals compared to 4% in cooler treatments. For coho salmon, > 3 ng HSP70 mg.1 total protein identified heat stress in 100% of 23°C treated individuals compared to 4% in cooler treatments. Transcription from a panel of genes separated individuals between cooler and stressful temperature experiences (≥21°C for Chinook salmon and ≥23°C for coho salmon) with ~ 85% correct classification. Our findings indicate that juvenile Chinook salmon were more temperature-sensitive than juvenile coho salmon and support the use of a HSP70 threshold sampled from muscle for assessing heat stress in individual wild Pacific salmon with an option for non-lethal biopsies for spawning adults.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/conphys/coad092","usgsCitation":"von Biela, V.R., Regish, A.M., Bowen, L., Stanek, A.E., Waters-Dynes, S.C., Carey, M.P., Zimmerman, C.E., Gerken, J., Rinella, D., and McCormick, S.D., 2023, Differential heat shock protein responses in two species of Pacific salmon and their utility in identifying heat stress: Conservation Physiology, v. 11, no. 1, coad092, 18 p., https://doi.org/10.1093/conphys/coad092.","productDescription":"coad092, 18 p.","ipdsId":"IP-151954","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441465,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/conphys/coad092","text":"Publisher Index Page"},{"id":435111,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GPHHTC","text":"USGS data release","linkHelpText":"Gene Transcription and Heat Shock Protein 70 Abundance in Juvenile Hatchery Reared Coho Salmon and Chinook Salmon during a Manipulative Thermal Experiment, Anchorage, Alaska 2020-2021"},{"id":423432,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"von Biela, Vanessa R. 0000-0002-7139-5981 vvonbiela@usgs.gov","orcid":"https://orcid.org/0000-0002-7139-5981","contributorId":3104,"corporation":false,"usgs":true,"family":"von Biela","given":"Vanessa","email":"vvonbiela@usgs.gov","middleInitial":"R.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":889992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Regish, Amy M. 0000-0003-4747-4265","orcid":"https://orcid.org/0000-0003-4747-4265","contributorId":265360,"corporation":false,"usgs":true,"family":"Regish","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":889993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bowen, Lizabeth 0000-0001-9115-4336 lbowen@usgs.gov","orcid":"https://orcid.org/0000-0001-9115-4336","contributorId":4539,"corporation":false,"usgs":true,"family":"Bowen","given":"Lizabeth","email":"lbowen@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":889994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanek, Ashley E. 0000-0001-5184-2126","orcid":"https://orcid.org/0000-0001-5184-2126","contributorId":290682,"corporation":false,"usgs":true,"family":"Stanek","given":"Ashley","email":"","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":889995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waters-Dynes, Shannon C. 0000-0002-9707-4684 swaters@usgs.gov","orcid":"https://orcid.org/0000-0002-9707-4684","contributorId":5826,"corporation":false,"usgs":true,"family":"Waters-Dynes","given":"Shannon","email":"swaters@usgs.gov","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":889996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carey, Michael P. 0000-0002-3327-8995 mcarey@usgs.gov","orcid":"https://orcid.org/0000-0002-3327-8995","contributorId":5397,"corporation":false,"usgs":true,"family":"Carey","given":"Michael","email":"mcarey@usgs.gov","middleInitial":"P.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":889997,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zimmerman, Christian E. 0000-0002-3646-0688 czimmerman@usgs.gov","orcid":"https://orcid.org/0000-0002-3646-0688","contributorId":410,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Christian","email":"czimmerman@usgs.gov","middleInitial":"E.","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":889998,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gerken, Jonathon","contributorId":280015,"corporation":false,"usgs":false,"family":"Gerken","given":"Jonathon","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":889999,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rinella, Daniel","contributorId":264541,"corporation":false,"usgs":false,"family":"Rinella","given":"Daniel","affiliations":[{"id":37461,"text":"fws","active":true,"usgs":false}],"preferred":false,"id":890000,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":890001,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70250337,"text":"70250337 - 2023 - Competition between dissolved organic matter and freshwater plankton control methylmercury isotope fractionation during uptake and photochemical demethylation","interactions":[],"lastModifiedDate":"2023-12-21T17:12:24.525246","indexId":"70250337","displayToPublicDate":"2023-12-06T11:11:46","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5615,"text":"ACS Earth and Space Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Competition between dissolved organic matter and freshwater plankton control methylmercury isotope fractionation during uptake and photochemical demethylation","docAbstract":"

Isotope fractionation related to photochemical reactions and planktonic uptake at the base of the food web is a major uncertainty in the biological application of mercury (Hg) stable isotopes. In freshwater systems, it is unclear how competitive interactions among methylmercury (MeHg), dissolved organic matter (DOM), and phytoplankton govern the magnitude of mass-dependent and mass-independent fractionation. This study investigated how DOM alters rates of planktonic MeHg uptake and photodegradation and corresponding Hg isotope fractionation in the presence of freshwater phytoplankton species, Raphidocelis subcapitata. Outdoor sunlight exposure experiments utilizing R. subcapitata were performed in the presence of different DOM samples using environmentally relevant ratios of MeHg-DOM thiol groups. The extent of Δ199Hg in phytoplankton incubations (2.99‰ St. Louis River HPOA, 1.88‰ Lake Erie HPOA) was lower compared to paired abiotic control experiments (4.29 and 2.86‰, respectively) after ∼30 h of irradiation, resulting from cell shading or other limiting factors reducing the extent of photodemethylation. Although the Δ199Hg/Δ201Hg ratio was uniform across experiments (∼1.4), Δ199Hg/δ202Hg slopes varied dramatically (from −0.96 to 15.4) across incubations with R. subcapitata and DOM. In addition, no evidence of Hg isotope fractionation was observed within R. subcapitata cells. This study provides a refined examination of Hg isotope fractionation markers for key processes occurring in the lower food web prior to bioaccumulation, critical for accurately accounting for the photochemical processing of Hg isotopes across a wide spectrum of freshwater systems.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acsearthspacechem.3c00154","usgsCitation":"Armstrong, G.J., Janssen, S., Poulin, B., Tate, M., Krabbenhoft, D.P., and Hurley, J., 2023, Competition between dissolved organic matter and freshwater plankton control methylmercury isotope fractionation during uptake and photochemical demethylation: ACS Earth and Space Chemistry, v. 7, no. 12, p. 2382-2392, https://doi.org/10.1021/acsearthspacechem.3c00154.","productDescription":"11 p.","startPage":"2382","endPage":"2392","ipdsId":"IP-144691","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":441466,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://escholarship.org/uc/item/4km7g31p","text":"Publisher Index Page"},{"id":423840,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Armstrong, Grace Jane 0009-0009-8132-9011","orcid":"https://orcid.org/0009-0009-8132-9011","contributorId":332127,"corporation":false,"usgs":true,"family":"Armstrong","given":"Grace","email":"","middleInitial":"Jane","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889501,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":889502,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Poulin, Brett A.","contributorId":328488,"corporation":false,"usgs":false,"family":"Poulin","given":"Brett A.","affiliations":[{"id":16975,"text":"University of California Davis","active":true,"usgs":false}],"preferred":false,"id":889503,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tate, Michael T. 0000-0003-1525-1219 mttate@usgs.gov","orcid":"https://orcid.org/0000-0003-1525-1219","contributorId":3144,"corporation":false,"usgs":true,"family":"Tate","given":"Michael T.","email":"mttate@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889504,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Krabbenhoft, David P. 0000-0003-1964-5020 dpkrabbe@usgs.gov","orcid":"https://orcid.org/0000-0003-1964-5020","contributorId":1658,"corporation":false,"usgs":true,"family":"Krabbenhoft","given":"David","email":"dpkrabbe@usgs.gov","middleInitial":"P.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":889505,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hurley, James P.","contributorId":147931,"corporation":false,"usgs":false,"family":"Hurley","given":"James P.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":889506,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250930,"text":"70250930 - 2023 - A review of natural and managed revegetation responses in two de-watered reservoirs after large dam removals on the Elwha River, Washington, USA","interactions":[],"lastModifiedDate":"2024-01-12T13:41:54.607074","indexId":"70250930","displayToPublicDate":"2023-12-05T07:38:30","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3910,"text":"Frontiers in Ecology and Evolution","onlineIssn":"2296-701X","active":true,"publicationSubtype":{"id":10}},"title":"A review of natural and managed revegetation responses in two de-watered reservoirs after large dam removals on the Elwha River, Washington, USA","docAbstract":"

Large dam removals are increasing in frequency and the response of natural and managed revegetation is a critical consideration for managed restoration of dewatered reservoir landscapes post dam removal. The removal of two large dams on the Elwha River in 2011-2014 provides insight into reservoir revegetation. We review literature and datasets from 2012 through 2018, 1-6 years since reservoir dewatering, to compare pre-dam removal predictions on the Elwha to post-dam removal of natural revegetation, managed revegetation effects and invasive non-native vegetation response. Pre-dam removal hypotheses about natural revegetation did not predict species performance on reservoir sediments, seed rain patterns, or seed bank response. Sediment texture and landform affected multiple aspects of revegetation, including vegetation cover, species richness, woody stem densities and species composition. Reservoir drawdown timing influenced species composition and seedling densities. Predictions about managed revegetation effects were mixed. Planting trees and shrubs did not accelerate woody cover but did increase species richness. Seeding reduced non-native vegetation frequency and species richness, had no effect on vegetation cover on fine sediments, but increased vegetation cover on coarse sediments. Planting trees and shrubs during drawdown appeared to result in higher survival rates compared to plantings installed 1+ years post drawdown. Seeding Lupinus rivularis (riverbank lupine) on coarse sediments was successful and increased foliar nitrogen in planted conifers. Invasive non-native vegetation was correctly predicted to be more abundant in the Aldwell reservoir but did not preclude native species establishment in either reservoir, likely due to rapid establishment of native species and robust management that occurred before, during and after dam removal.

","language":"English","publisher":"Frontiers","doi":"10.3389/fevo.2023.1268969","usgsCitation":"Chenoweth, J., Shafroth, P., Brown, R.L., Helfield, J.M., Bauman, J.M., Cendejas-Zarelli, S., Werner, C.M., Schuster, J.L., and Morgan, O.A., 2023, A review of natural and managed revegetation responses in two de-watered reservoirs after large dam removals on the Elwha River, Washington, USA: Frontiers in Ecology and Evolution, v. 11, 1268969, 15 p., https://doi.org/10.3389/fevo.2023.1268969.","productDescription":"1268969, 15 p.","ipdsId":"IP-153783","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":441473,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2023.1268969","text":"Publisher Index Page"},{"id":424375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.84520392809796,\n 48.219529839093354\n ],\n [\n -123.84520392809796,\n 47.45073186245261\n ],\n [\n -123.2272229710666,\n 47.45073186245261\n ],\n [\n -123.2272229710666,\n 48.219529839093354\n ],\n [\n -123.84520392809796,\n 48.219529839093354\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-12-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Chenoweth, Joshua","contributorId":333248,"corporation":false,"usgs":false,"family":"Chenoweth","given":"Joshua","affiliations":[{"id":38097,"text":"Yurok Tribe","active":true,"usgs":false}],"preferred":false,"id":892255,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shafroth, Patrick B. 0000-0002-6064-871X","orcid":"https://orcid.org/0000-0002-6064-871X","contributorId":225182,"corporation":false,"usgs":true,"family":"Shafroth","given":"Patrick B.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":892256,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brown, Rebecca L.","contributorId":290763,"corporation":false,"usgs":false,"family":"Brown","given":"Rebecca","email":"","middleInitial":"L.","affiliations":[{"id":36876,"text":"Eastern Washington University","active":true,"usgs":false}],"preferred":false,"id":892257,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Helfield, James M.","contributorId":333249,"corporation":false,"usgs":false,"family":"Helfield","given":"James","email":"","middleInitial":"M.","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":892258,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bauman, Jenise M.","contributorId":333250,"corporation":false,"usgs":false,"family":"Bauman","given":"Jenise","email":"","middleInitial":"M.","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":892259,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cendejas-Zarelli, Sara","contributorId":257040,"corporation":false,"usgs":false,"family":"Cendejas-Zarelli","given":"Sara","email":"","affiliations":[{"id":39680,"text":"Lower Elwha Klallam Tribe","active":true,"usgs":false}],"preferred":false,"id":892260,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Werner, Chhaya M.","contributorId":333251,"corporation":false,"usgs":false,"family":"Werner","given":"Chhaya","email":"","middleInitial":"M.","affiliations":[{"id":41707,"text":"Southern Oregon University","active":true,"usgs":false}],"preferred":false,"id":892261,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schuster, Jarrett L.","contributorId":333252,"corporation":false,"usgs":false,"family":"Schuster","given":"Jarrett","email":"","middleInitial":"L.","affiliations":[{"id":36876,"text":"Eastern Washington University","active":true,"usgs":false}],"preferred":false,"id":892262,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morgan, Olivia A.","contributorId":333253,"corporation":false,"usgs":false,"family":"Morgan","given":"Olivia","email":"","middleInitial":"A.","affiliations":[{"id":36876,"text":"Eastern Washington University","active":true,"usgs":false}],"preferred":false,"id":892263,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70250391,"text":"70250391 - 2023 - On the relationship between aquatic CO2 concentration and ecosystem fluxes in some of the world’s key wetland types","interactions":[],"lastModifiedDate":"2023-12-06T12:51:01.448145","indexId":"70250391","displayToPublicDate":"2023-12-05T06:47:01","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"On the relationship between aquatic CO2 concentration and ecosystem fluxes in some of the world’s key wetland types","docAbstract":"

To understand patterns in CO2 partial pressure (PCO2) over time in wetlands’ surface water and porewater, we examined the relationship between PCO2 and land–atmosphere flux of CO2 at the ecosystem scale at 22 Northern Hemisphere wetland sites synthesized through an open call. Sites spanned 6 major wetland types (tidal, alpine, fen, bog, marsh, and prairie pothole/karst), 7 Köppen climates, and 16 different years. Ecosystem respiration (Reco) and gross primary production (GPP), components of vertical CO2 flux, were compared to PCO2, a component of lateral CO2 flux, to determine if photosynthetic rates and soil respiration consistently influence wetland surface and porewater CO2 concentrations across wetlands. Similar to drivers of primary productivity at the ecosystem scale, PCO2 was strongly positively correlated with air temperature (Tair) at most sites. Monthly average PCO2 tended to peak towards the middle of the year and was more strongly related to Reco than GPP. Our results suggest Reco may be related to biologically driven PCO2 in wetlands, but the relationship is site-specific and could be an artifact of differently timed seasonal cycles or other factors. Higher levels of discharge do not consistently alter the relationship between Reco and temperature normalized PCO2. This work synthesizes relevant data and identifies key knowledge gaps in drivers of wetland respiration.

","language":"English","publisher":"Springer","doi":"10.1007/s13157-023-01751-x","usgsCitation":"Richardson, J.L., Desai, A.R., Thom, J., Lindgren, K., Laudon, H., Peichl, M., Nilsson, M.B., Campeau, A., Jarveoja, J., Hawman, P., Mishra, D.R., Smith, D., D’Acunha, B., Knox, S.H., Ng, D., Johnson, M.S., Blackstock, J., Malone, S.L., Oberbauer, S., Detto, M., Wickland, K., Forbrich, I., Weston, N.B., Hung, J.K., Edgar, C.W., Euskirchen, E.S., Bret-Harte, S., Dobkowski, J., Kling, G., Kane, E., Badiou, P., Bogard, M., Bohrer, G., O'Halloran, T., Ritson, J., Arias-Otriz, A., Baldocchi, D., Oikawa, P., Shahan, J., and Matsumura, M., 2023, On the relationship between aquatic CO2 concentration and ecosystem fluxes in some of the world’s key wetland types: Wetlands, v. 44, no. 1, 20 p., https://doi.org/10.1007/s13157-023-01751-x.","productDescription":"20 p.","ipdsId":"IP-156176","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science 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