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The U.S. Geological Survey, in cooperation with the New York State Department of Environmental Conservation, updated low-streamflow statistics for New York, excluding Long Island and including hydrologically connected watersheds in bordering States, for the first time since 1972. Historical daily streamflow data for active and inactive gages were considered for this study with periods of record as recent as March 31, 2022, adding 50 years of data to the last published low-streamflow statistics report for New York and including 119 new gages where low-streamflow statistics are calculated for the first time. Gages were evaluated across several criteria to identify gages that were not suitable for low-streamflow frequency analysis. In addition, gages were evaluated for the presence of alteration within the streamflow period of record based on previous studies and U.S. Geological Survey National Water Information System site metadata including peak flow codes.

A trend analysis was performed using the Wilcoxon rank-sum hypothesis test comparing data from the most recent 30 years of record to data from 30 years and earlier for each long-record gage (30 years or more of available data). Results from the trend analysis indicated that 45 unaltered and 32 altered long-record sites had a statistically significant trend for the annual minimum n-day time series; most gages showed increasing trends in the annual minimum n-day time series. Low-streamflow statistics were calculated using the most recent 30 years of record for gages with a statistically significant trend. Before and after 1972, the lowest annual 7-day and 30-day average streamflow that occurs (on average) once every 10 years (7Q10 and 30Q10 statistics respectively) increased significantly at 41 unaltered gages and decreased significantly at 3 unaltered gages where data were available.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245055","collaboration":"Prepared in cooperation with the New York State Department of Environmental Conservation","usgsCitation":"Stagnitta, T.J., Graziano, A.P., Woda, J.C., Glas, R.L., and Gazoorian, C.L., 2024, Low-flow statistics for selected streams in New York, excluding Long Island: U.S. Geological Survey Scientific Investigations Report 2024–5055, 39 p., https://doi.org/10.3133/sir20245055.","productDescription":"Report: vi, 39 p.; Data Release","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-157678","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":432052,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5055/images/"},{"id":499477,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117164.htm","linkFileType":{"id":5,"text":"html"}},{"id":432053,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NOM6FR","text":"USGS data release","linkHelpText":"Low-flow statistics for New York State, excluding Long Island, computed through March 2022"},{"id":432048,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5055/coverthb.jpg"},{"id":432049,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5055/sir20245055.pdf","text":"Report","size":"2.39 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5055 PDF"},{"id":432051,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5055/sir20245055.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5055 XML"},{"id":432050,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245055/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5055 HTML"}],"country":"United States","state":"New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.91286009788664,\n 41.01178774841347\n ],\n [\n -74.0266841070774,\n 40.720375728237144\n ],\n [\n -73.9615635090029,\n 40.70803672971712\n ],\n [\n -73.67394830242374,\n 40.966707520822155\n ],\n [\n -73.67401345493704,\n 41.01587061494237\n ],\n [\n -73.7610093516628,\n 41.09363100726691\n ],\n [\n -73.47905430116539,\n 41.21618146660194\n ],\n [\n -73.54958995108733,\n 41.28551897494029\n ],\n [\n -73.48572425776553,\n 42.050669593361164\n ],\n [\n -73.52340772727291,\n 42.08675087137979\n ],\n [\n -73.27944022486994,\n 42.71925225128092\n ],\n [\n -73.2459886442373,\n 43.56229834373957\n ],\n [\n -73.31078219020274,\n 43.62532933066436\n ],\n [\n -73.37060286487959,\n 43.61346437461091\n ],\n [\n -73.43066543683648,\n 43.58573443689042\n ],\n [\n -73.35806708414735,\n 43.79014308086275\n ],\n [\n -73.40009937812863,\n 44.00975633545363\n ],\n [\n -73.41060974678811,\n 44.08529772972881\n ],\n [\n -73.35805219069586,\n 44.318863718851276\n ],\n [\n -73.33701549362132,\n 44.52903276098101\n ],\n [\n -73.36854225932441,\n 44.626354722690195\n ],\n [\n -73.3054828249653,\n 44.73844638732069\n ],\n [\n -73.37904970354246,\n 44.83541786386914\n ],\n [\n -73.34751720937287,\n 45.0140137308498\n ],\n [\n -74.34598531174339,\n 44.99914556300604\n ],\n [\n -74.8399460822856,\n 45.02144131236122\n ],\n [\n -75.34442725785361,\n 44.80559688881786\n ],\n [\n -75.71227781323351,\n 44.58894197821161\n ],\n [\n -75.93298792150392,\n 44.363963821867316\n ],\n [\n -76.22726798212784,\n 44.23609096764133\n ],\n [\n -76.4374686507537,\n 44.085295715094446\n ],\n [\n -76.80532026610759,\n 43.62298965505482\n ],\n [\n -78.73916539102125,\n 43.63059733126207\n ],\n [\n -79.1910965886907,\n 43.44011660394341\n ],\n [\n -79.02292338480896,\n 43.20308949268261\n ],\n [\n -79.06495062651008,\n 43.0880701724453\n ],\n [\n -78.88515521912908,\n 42.85650132783874\n ],\n [\n -79.77268100220316,\n 42.50253000668161\n ],\n [\n -79.7434614428243,\n 42.00043762996769\n ],\n [\n -75.398839703039,\n 41.97678364767139\n ],\n [\n -75.09566664827426,\n 41.829506046160375\n ],\n [\n -74.91860171317268,\n 41.43129306375607\n ],\n [\n -73.91286009788664,\n 41.01178774841347\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, New York Water Science Center
U.S. Geological Survey
425 Jordan Road
Troy, NY 12180–8349

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2024-08-02","noUsgsAuthors":false,"publicationDate":"2024-08-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Stagnitta, Timothy J. 0000-0001-8903-428X","orcid":"https://orcid.org/0000-0001-8903-428X","contributorId":304230,"corporation":false,"usgs":true,"family":"Stagnitta","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":true,"id":908680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Graziano, Alexander P. 0000-0003-1978-0986","orcid":"https://orcid.org/0000-0003-1978-0986","contributorId":211607,"corporation":false,"usgs":true,"family":"Graziano","given":"Alexander","email":"","middleInitial":"P.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":908681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woda, Joshua 0000-0002-2932-8013","orcid":"https://orcid.org/0000-0002-2932-8013","contributorId":290172,"corporation":false,"usgs":true,"family":"Woda","given":"Joshua","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":908682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Glas, Robin L. 0000-0002-7394-1667","orcid":"https://orcid.org/0000-0002-7394-1667","contributorId":300625,"corporation":false,"usgs":true,"family":"Glas","given":"Robin","email":"","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":908683,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gazoorian, Christopher L. 0000-0002-5408-6212 cgazoori@usgs.gov","orcid":"https://orcid.org/0000-0002-5408-6212","contributorId":2929,"corporation":false,"usgs":true,"family":"Gazoorian","given":"Christopher","email":"cgazoori@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":908684,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257321,"text":"70257321 - 2024 - Environmental drivers and spatial patterns of antibiotic-resistant, enteric coliforms across a forest–urban riverscape","interactions":[],"lastModifiedDate":"2024-09-11T16:25:03.119913","indexId":"70257321","displayToPublicDate":"2024-08-02T07:19:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1699,"text":"Freshwater Science","active":true,"publicationSubtype":{"id":10}},"title":"Environmental drivers and spatial patterns of antibiotic-resistant, enteric coliforms across a forest–urban riverscape","docAbstract":"

Antibiotic resistant bacteria are prevalent environmental contaminants in freshwaters, and antibiotic resistance genes circulate throughout the urban water cycle. The increase of antibiotic resistant pathogens threatens public health through direct and indirect exposure, and natural resource managers need information on the spatial patterns of antibiotic resistant bacteria and environmental factors associated with their distribution to improve water quality monitoring and to better assess human, animal, and environmental health risks. We collected water and epilithic biofilm samples and measured physicochemical environmental variables at 29 sites distributed longitudinally in the Green-Duwamish River basin, Washington, USA. We characterized catchment-wide patterns of gram-negative fecal indicator bacteria and hypothesized that the presence of antibiotic resistance would be associated with environmental heterogeneity, bacterial primary ecology, stream compartment, and stream type. Antibiotic resistance was determined by microbial growth on selective media supplemented with 3 different antibiotics (ampicillin, chloramphenicol, or tetracycline). Phenotypic antibiotic resistance was positively associated with disturbance, but resistance to at least 1 antibiotic was also detected in undeveloped river segments, with an 83% overall detection rate (i.e., 24 out of 29 sites, 17 in the mainstem and 7 in tributaries). The most probable number of Escherichia coli was associated with higher levels of antibiotic resistance of non-E. coli coliforms across the basin (ρ = 0.38, p < 0.01) but was not associated with antibiotic resistance of E. coli. Phenotypic resistance was highest among non-E. coli coliforms in the water column of tributaries draining moderately to extensively developed subcatchments. Generalized linear mixed-effects model results showed that 18% of the variance in presence of antibiotic resistance was explained by the fixed effects (summed CV across environmental variables, stream type, primary ecology, and stream compartment), and when a spatial random effect was included, the model explained 27% of the variance. Our study provides new evidence that environmental factors and bacterial primary ecology are important underlying factors associated with spatial patterns of antibiotic resistant enteric coliforms. We used macroecological concepts and a riverscape approach to characterize the distribution of antibiotic resistance with methods applicable to municipalities.

","language":"English","publisher":"University of Chicago Press","doi":"10.1086/731976","usgsCitation":"Klock, A.M., Torgersen, C.E., Roberts, M.C., Vogt, D.J., and Vogt, K.A., 2024, Environmental drivers and spatial patterns of antibiotic-resistant, enteric coliforms across a forest–urban riverscape: Freshwater Science, v. 43, no. 3, p. 231-249, https://doi.org/10.1086/731976.","productDescription":"19 p.","startPage":"231","endPage":"249","ipdsId":"IP-100689","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":432756,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Klock, Angela M","contributorId":342283,"corporation":false,"usgs":false,"family":"Klock","given":"Angela","email":"","middleInitial":"M","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":909967,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Torgersen, Christian E. 0000-0001-8325-2737 ctorgersen@usgs.gov","orcid":"https://orcid.org/0000-0001-8325-2737","contributorId":146935,"corporation":false,"usgs":true,"family":"Torgersen","given":"Christian","email":"ctorgersen@usgs.gov","middleInitial":"E.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":909969,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roberts, Marilyn C","contributorId":342285,"corporation":false,"usgs":false,"family":"Roberts","given":"Marilyn","email":"","middleInitial":"C","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":909968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vogt, Daniel J","contributorId":342289,"corporation":false,"usgs":false,"family":"Vogt","given":"Daniel","email":"","middleInitial":"J","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":909970,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vogt, Kristiina A","contributorId":342291,"corporation":false,"usgs":false,"family":"Vogt","given":"Kristiina","email":"","middleInitial":"A","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":909971,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257480,"text":"70257480 - 2024 - Capelin on the rebound: Using seabird diets to track trends in forage fish populations","interactions":[],"lastModifiedDate":"2024-08-16T15:28:57.932189","indexId":"70257480","displayToPublicDate":"2024-08-01T10:25:33","publicationYear":"2024","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":18341,"text":"Delta Sound Connections","active":true,"publicationSubtype":{"id":30}},"title":"Capelin on the rebound: Using seabird diets to track trends in forage fish populations","docAbstract":"Capelin are cold-water forage fish that respond rapidly to fluctuating ocean temperatures. They are prized food for seabirds and other marine predators in Alaska. Researchers have monitored seabird diets at Middleton Island for decades to make connections between changes in abundance of predators and their prey. During a prolonged marine heatwave in the Gulf of Alaska, seabird diets and limited trawl surveys showed that capelin populations collapsed from record high abundance during the 2007–2013 cool period (Hatch 2013) to record lows in 2016 (Arimitsu et al. 2021). Capelin occurrence in diets had previously oscillated out of phase with Pacific sand lance numbers during cold and warm years (Sydeman et al. 2017), however, the occurrence of both prey species in seabird diets fell below average during 2014–2022 (Fig. 1). Following a period of cooler ocean temperatures in the Gulf of Alaska, during 2023 we began to see signs of capelin stock recovery, with a moderate increase in occurrence in spring and summer seabird diets (Fig. 1, Hatch et al. 2023). Continued monitoring of seabird diets can help track capelin populations and other key forage fish to inform ecosystem-based management in 2024 and beyond.","language":"English","publisher":"Prince William Sound Science Center","usgsCitation":"Arimitsu, M.L., Marsteller, C.E., Piatt, J., Hatch, S., and Wheland, S., 2024, Capelin on the rebound: Using seabird diets to track trends in forage fish populations: Delta Sound Connections, v. 2024-'25.","productDescription":"1 p.","startPage":"6","ipdsId":"IP-163358","costCenters":[{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":432862,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":432861,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pwssc.org/education/delta-sound-connections/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Gulf of Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -150.77199585957212,\n 59.26881099856607\n ],\n [\n -153.94611405017184,\n 56.51729622949853\n ],\n [\n -134.98579563208682,\n 56.545558198375346\n ],\n [\n -137.67284996186456,\n 58.70580202741482\n ],\n [\n -141.66575217225886,\n 59.854419527837756\n ],\n [\n -146.2252427959988,\n 60.429156939699894\n ],\n [\n -150.77199585957212,\n 59.26881099856607\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"2024-'25","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Arimitsu, Mayumi L. 0000-0001-6982-2238 marimitsu@usgs.gov","orcid":"https://orcid.org/0000-0001-6982-2238","contributorId":140501,"corporation":false,"usgs":true,"family":"Arimitsu","given":"Mayumi","email":"marimitsu@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":910510,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marsteller, Caitlin Elizabeth 0000-0002-2430-0708","orcid":"https://orcid.org/0000-0002-2430-0708","contributorId":251784,"corporation":false,"usgs":true,"family":"Marsteller","given":"Caitlin","email":"","middleInitial":"Elizabeth","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":910822,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatt, John F. 0000-0002-4417-5748","orcid":"https://orcid.org/0000-0002-4417-5748","contributorId":244053,"corporation":false,"usgs":true,"family":"Piatt","given":"John F.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":910513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hatch, Scott","contributorId":258853,"corporation":false,"usgs":false,"family":"Hatch","given":"Scott","affiliations":[{"id":52319,"text":"ISRC","active":true,"usgs":false}],"preferred":false,"id":910511,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wheland, Shannon","contributorId":342935,"corporation":false,"usgs":false,"family":"Wheland","given":"Shannon","email":"","affiliations":[{"id":35874,"text":"Institute for Seabird Research and Conservation","active":true,"usgs":false}],"preferred":false,"id":910512,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70261861,"text":"70261861 - 2024 - Observing systems, modeling, and forecasting","interactions":[],"lastModifiedDate":"2025-01-02T14:29:47.543312","indexId":"70261861","displayToPublicDate":"2024-08-01T10:16:25","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"chapter":"1","title":"Observing systems, modeling, and forecasting","docAbstract":"

Predicting harmful algal blooms (HABs) requires integrating physical, chemical, and biological data collected from observing networks and then assimilating these data into models, which are used to generate forecasts. In 2005, the Harmful Algal Research and Response: A National Environmental Science Strategy 2005-2015 (HARRNESS, 2005) made recommendations on how to improve HAB modeling and forecasting over the next decade. Key HARRNESS recommendations related to sensing, networking, and modeling HABs included:

● Support the development and validation of new and improved technologies for remote cell and toxin detection, and for modeling and forecasting,

● Improve coordination of monitoring/ and modeling efforts, both at national and regional levels,

● Improve the use of networking technologies for monitoring and modeling efforts,

● Conduct sustained time series measurements of the biotic, chemical, and physical environments impacted by HABs,

● Develop food web models on the ecosystem fate and effects of toxins,

● Develop and improve species-specific models that link to physical-biological models.

Here we review HAB observing, modeling, and forecasting advances and technologies and recommend research and management priorities for the next decade and beyond. Our report encompasses sensing technologies, sensor networking and data management, models and forecasts, and the paths to operationalize forecasts.

Continued improvements of deployable sensors are foundational to improving early warning indicators, models, and forecasts, which are only as good as the underlying data. Sensing technology has advanced considerably in the last decade; for example, more capable fluorometric pigment sensors can track changes in bloom biomass in real-time. Additionally, automated imaging/classifying systems to identify and quantify key harmful algal (HA) taxa are being routinely deployed. However, deployable toxin sensors are available for only some HAB toxins and continue to be identified as a critical need by researchers and managers. As more and improved sensors and technologies become available, the data quality associated with each sensor needs to be assessed. Data quality encompasses the reliability, accuracy, and uncertainty associated with sensor-generated data. These data need to be of known quality so that researchers, managers, and end-users can reliably determine if the information is appropriate for their intended applications. Many of the data quality recommendations from HARRNESS (2005) are still relevant and have been reiterated within the management community. Understanding and documenting data quality, and when applicable, standardizing best practices for sensor use, continue to be recommended.

","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Harmful algal research & response: A national environmental science strategy (HARRNESS), 2024-2034","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"Woods Hole Oceanographic Institution","doi":"10.1575/1912/69773","usgsCitation":"Bouma-Gregson, K., Doucette, G., Graham, J.L., Kudela, R., Stauffer, B., Anderson, C., Bratton, J.F., Holcomb, B.M., Hubbard, K., Norris, T., Stiles, T., Tango, P.J., Raymond, H., and Zubkousky, V., 2024, Observing systems, modeling, and forecasting, 25 p., https://doi.org/10.1575/1912/69773.","productDescription":"25 p.","startPage":"31","endPage":"55","ipdsId":"IP-146565","costCenters":[{"id":154,"text":"California Water Science 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M.","contributorId":53700,"corporation":false,"usgs":true,"family":"Holcomb","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":922060,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hubbard, Kate","contributorId":347683,"corporation":false,"usgs":false,"family":"Hubbard","given":"Kate","affiliations":[],"preferred":false,"id":922062,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Norris, Tenaya","contributorId":347684,"corporation":false,"usgs":false,"family":"Norris","given":"Tenaya","affiliations":[],"preferred":false,"id":922063,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stiles, Tom","contributorId":347685,"corporation":false,"usgs":false,"family":"Stiles","given":"Tom","affiliations":[],"preferred":false,"id":922064,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Tango, Peter J. pjtango@usgs.gov","contributorId":4088,"corporation":false,"usgs":true,"family":"Tango","given":"Peter","email":"pjtango@usgs.gov","middleInitial":"J.","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922065,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Raymond, Heather","contributorId":291257,"corporation":false,"usgs":false,"family":"Raymond","given":"Heather","email":"","affiliations":[{"id":18155,"text":"The Ohio State University","active":true,"usgs":false}],"preferred":false,"id":922067,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Zubkousky, Vanessa","contributorId":347686,"corporation":false,"usgs":false,"family":"Zubkousky","given":"Vanessa","affiliations":[],"preferred":false,"id":922066,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70257603,"text":"70257603 - 2024 - Joint pilot fish habitat framework","interactions":[],"lastModifiedDate":"2024-08-20T15:11:01.81526","indexId":"70257603","displayToPublicDate":"2024-08-01T10:04:45","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":18345,"text":"NOAA Story Map","active":true,"publicationSubtype":{"id":1}},"title":"Joint pilot fish habitat framework","docAbstract":"

This story map will take you through the process of exploring and testing methods necessary for a higher resolution, seamless fish habitat assessment across both inland and estuarine waters through the lens of our joint pilot assessment

Fish habitat assessments attempt to relate past, current, or future landscape conditions to the state of fish species occurrence, distribution, abundance, or community and habitat condition in streams, rivers, or estuaries. Previous fish habitat assessments, such as the National Fish Habitat Assessment, conducted separate and disconnected assessments for inland waters and estuaries. In this project, National Oceanic and Atmospheric Administration ( NOAA ) and U.S. Geological Survey ( USGS ) researchers created a seamless spatial framework to allow assessments that integrate influences on fish habitat from headwaters to the estuary. This effort began when the Chesapeake Bay Program Fish Habitat Action Team expressed interest in a Baywide fish habitat assessment spanning tidal salt, tidal fresh, warm non-tidal, and cold non-tidal waters. However, the complexity of the myriad of implementation details to consider when developing such an assessment necessitated the need for a tributary-specific pilot assessment. To conduct this pilot assessment, a NOAA/USGS joint partnership was formed with cooperation and support from the Chesapeake Bay Agreement and Chesapeake Bay Fish Habitat Action Team (FHAT).

","language":"English","publisher":"NOAA","usgsCitation":"Nisonson, H., Kiser, A.H., Gressler, B.P., Leight, A., and Young, J.A., 2024, Joint pilot fish habitat framework: NOAA Story Map, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-169467","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":432940,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":432939,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://storymaps.arcgis.com/stories/0902bfe6a2ed408488a13bf4227c9ab8","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Maryland","otherGeospatial":"Patuxent River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.39361321933961,\n 38.27947195524095\n ],\n [\n -76.42031861435605,\n 38.39258760740202\n ],\n [\n -76.56719828694345,\n 38.639151180749025\n ],\n [\n -76.62595015597843,\n 38.94097411844302\n ],\n [\n -76.73811281504507,\n 39.133883869081444\n ],\n [\n -77.05857755523637,\n 39.35518173602037\n ],\n [\n -77.34165564025463,\n 39.53048056579706\n ],\n [\n -77.59802743240763,\n 39.54489731844012\n ],\n [\n -77.51524070785847,\n 39.38202023535723\n ],\n [\n -77.30159754773115,\n 39.20634728019897\n ],\n [\n -77.05323737408307,\n 39.102804445263814\n ],\n [\n -76.83959421395518,\n 38.932661799568905\n ],\n [\n -76.79152533431636,\n 38.59741877946476\n ],\n [\n -76.6206108062147,\n 38.32976596030326\n ],\n [\n -76.47640167312836,\n 38.25430974627827\n ],\n [\n -76.39361321933961,\n 38.27947195524095\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nisonson, Hannah","contributorId":343420,"corporation":false,"usgs":false,"family":"Nisonson","given":"Hannah","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":911013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kiser, Alexander H. 0000-0002-2871-0640","orcid":"https://orcid.org/0000-0002-2871-0640","contributorId":342012,"corporation":false,"usgs":true,"family":"Kiser","given":"Alexander","middleInitial":"H.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":911014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gressler, Benjamin P. 0000-0001-6639-8558","orcid":"https://orcid.org/0000-0001-6639-8558","contributorId":270167,"corporation":false,"usgs":true,"family":"Gressler","given":"Benjamin","middleInitial":"P.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":911015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Leight, A.K.","contributorId":343421,"corporation":false,"usgs":false,"family":"Leight","given":"A.K.","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":911016,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, John A. 0000-0002-4500-3673 jyoung@usgs.gov","orcid":"https://orcid.org/0000-0002-4500-3673","contributorId":3777,"corporation":false,"usgs":true,"family":"Young","given":"John","email":"jyoung@usgs.gov","middleInitial":"A.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":911017,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257692,"text":"70257692 - 2024 - Lake water storage","interactions":[],"lastModifiedDate":"2024-08-23T14:43:12.486972","indexId":"70257692","displayToPublicDate":"2024-08-01T09:25:26","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1112,"text":"Bulletin of the American Meteorological Society","onlineIssn":"1520-0477","printIssn":"0003-0007","active":true,"publicationSubtype":{"id":10}},"chapter":"2.d.8","title":"Lake water storage","docAbstract":"

No abstract available.

","language":"English","publisher":"American Meteorological Society","doi":"10.1175/2024BAMSStateoftheClimate.1","usgsCitation":"Harlan, M.E., Kraemer, B.M., King, T.V., La Fuente, S., and Meyer, M.F., 2024, Lake water storage: Bulletin of the American Meteorological Society, v. 105, no. 8 Special Supplement, p. S66-S67, https://doi.org/10.1175/2024BAMSStateoftheClimate.1.","productDescription":"2 p.","startPage":"S66","endPage":"S67","ipdsId":"IP-162826","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":466972,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://research-information.bris.ac.uk/en/publications/c362ab75-6dc1-4ab9-816f-c17a9e899aa8","text":"External Repository"},{"id":433097,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"105","issue":"8 Special Supplement","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harlan, Merritt Elizabeth 0000-0002-4019-4888","orcid":"https://orcid.org/0000-0002-4019-4888","contributorId":302672,"corporation":false,"usgs":true,"family":"Harlan","given":"Merritt","email":"","middleInitial":"Elizabeth","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":911445,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kraemer, Benjamin M.","contributorId":166829,"corporation":false,"usgs":false,"family":"Kraemer","given":"Benjamin","email":"","middleInitial":"M.","affiliations":[{"id":24540,"text":"Center for Limnology, University of Wisconsin, Madison, Wisconsin, 53706, USA.","active":true,"usgs":false}],"preferred":false,"id":911446,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"King, Tyler V. 0000-0002-5785-3077","orcid":"https://orcid.org/0000-0002-5785-3077","contributorId":292424,"corporation":false,"usgs":true,"family":"King","given":"Tyler","middleInitial":"V.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":911447,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"La Fuente, Sofia 0000-0002-9665-672X","orcid":"https://orcid.org/0000-0002-9665-672X","contributorId":329486,"corporation":false,"usgs":false,"family":"La Fuente","given":"Sofia","email":"","affiliations":[{"id":78609,"text":"Dundalk Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":911448,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meyer, Michael Frederick 0000-0002-8034-9434 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8034-9434","contributorId":304191,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"Frederick","affiliations":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"preferred":true,"id":911449,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262531,"text":"70262531 - 2024 - Geophysical characterization of mine influenced groundwater and surface water in the Mayflower section of the Animas River, Bonita Peak Mining District, Silverton Colorado","interactions":[],"lastModifiedDate":"2025-01-24T14:59:30.978963","indexId":"70262531","displayToPublicDate":"2024-08-01T08:53:13","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesNumber":"EPA/600/R-23/340","title":"Geophysical characterization of mine influenced groundwater and surface water in the Mayflower section of the Animas River, Bonita Peak Mining District, Silverton Colorado","docAbstract":"This report details findings from geophysical investigations to identify possible groundwater - surface water interactions near the Mayflower Section of the Animas River in Silverton, Colorado. The Mayflower Section is a mine influenced Superfund Site in Colorado. This investigation utilized electromagnetic induction (EM or EMI), magnetic, and fiber optic distributed temperature system (FODTS) geophysical methods to measure the bulk earth electrical conductivity, magnetic susceptibility, and temperature of specific surveyed volumes of the earth near the Mayflower Section of the Animas River. These physical parameters are used to understand the groundwater – surface water interactions, which can guide decision makers in their assessment of mine-impacted surface water. This report details the results from characterization and monitoring technologies to provide high data density and continuous monitoring of bulk earth electrical conductivity and temperature in the Mayflower section of the Animas River to identify zones of groundwater – surface water interactions and potential metal loading from mine influenced water. The investigation separated right and left bank characterization for each method and indicates more groundwater is entering from the right bank than the left bank and these predominantly right bank discharges potentially contain metal-rich water compared to the left bank. Results also indicate mineral veins facilitate preferential groundwater discharge to the river due to possible jointing, fractures, and permeability differences sometimes occurring along veins relative to host rock. For example, Boulder Gulch is likely groundwater dominated and may be receive water impacted by Mayflower Impoundments #1 and #2. Additionally, the beaver ponds near Blair Gulch may influence groundwater discharge and Mayflower Impoundment #4 is possibly impacting groundwater and surface water and may be connected to the wetlands to the west of the impoundment. These data could be further analyzed for smaller spatial scale analysis within areas of interest. The identification of these locations along sections of the river likely impacted by mine influenced groundwater potentially entering the Animas River and can be used by site investigators, decision makers, and stakeholders in mitigation decisions and strategies.","language":"English","publisher":"U.S. Environmental Protection Agency","collaboration":"U.S. Environmental Protection Agency","usgsCitation":"Werkema, D., Terry, N., and Trottier, B., 2024, Geophysical characterization of mine influenced groundwater and surface water in the Mayflower section of the Animas River, Bonita Peak Mining District, Silverton Colorado, 38 p.","productDescription":"38 p.","ipdsId":"IP-159820","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":480783,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://assessments.epa.gov/risk/document/&deid%3D362424"},{"id":481134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Animas River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.6563034660742,\n 37.80974882626913\n ],\n [\n -107.58602809458,\n 37.80974882626913\n ],\n [\n -107.58602809458,\n 37.85248770149306\n ],\n [\n -107.6563034660742,\n 37.85248770149306\n ],\n [\n -107.6563034660742,\n 37.80974882626913\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Werkema, Dale","contributorId":294506,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":924478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":924479,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Trottier, Brett 0000-0002-6148-0875","orcid":"https://orcid.org/0000-0002-6148-0875","contributorId":304452,"corporation":false,"usgs":false,"family":"Trottier","given":"Brett","affiliations":[{"id":66072,"text":"Pittsburgh, PA","active":true,"usgs":false}],"preferred":false,"id":924480,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257176,"text":"70257176 - 2024 - Bottom trawl assessment of Lake Ontario's benthic preyfish community, 2023","interactions":[],"lastModifiedDate":"2024-08-13T12:25:12.725548","indexId":"70257176","displayToPublicDate":"2024-08-01T07:21:32","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"Bottom trawl assessment of Lake Ontario's benthic preyfish community, 2023","docAbstract":"Since 1978, surveys of Lake Ontario preyfish communities have provided information on the status and trends of the benthic preyfish community related to Fish Community Objectives that includes understanding preyfish population dynamics and community diversity. Beginning in 2015, the benthic preyfish survey expanded from US-only to incorporate Canadian sites, increasing the survey’s spatial coverage to a lake-wide scale. Additionally, sampling in eastern US embayments (Black River, Chaumont, Guffin, and Henderson Bays), that were historically sampled during a September bottom trawl survey to index Yellow Perch (Perca flavescens; 1978–2007), resumed in 2015. The current survey provides abundance indices for sculpins, Round Goby (Neogobius melanostomus) and Bloater (Coregonus hoyi) with survey techniques, gear and timing comparable to Lake Michigan. This alignment provides a necessary biological reference point for measuring the success of Lake Ontario Bloater reintroduction. In 2023, the collaborative benthic preyfish survey completed 188 bottom trawl tows across main lake and embayment sites at depths from 6 to 249 m. In total, the 2023 survey sampled 85,801 fish from 38 species. Round Goby was the most common species comprising 43% of the total catch, followed by Deepwater Sculpin (Myoxocephalus thompsonii), and Alewife (Alosa pseudoharengus) at 22% and 13%, respectively. Slimy Sculpin (Cottus cognatus) lake-wide biomass density (0.06 kg/ha) remained low relative to historical observations from US waters during the 1980-1990s and was orders of magnitude lower in US than Canadian waters. Lake-wide Deepwater Sculpin biomass density remains high since the population recovery (4.1 kg/ha). Embayment catches continue to have unique species assemblages compared to main lake habitat. Historically common native benthic preyfish species like Trout-perch (Percopsis omiscomaycus), Spottail Shiner (Notropis hudsonius), and darters (Etheostoma spp.), that are now rare at main lake trawl sites, still occur in some embayment trawl sites.","language":"English","publisher":"Great Lakes Fishery Commission","usgsCitation":"O’Malley, B., Minihkeim, S.P., Mitchinson, O.M., Stahl, S.D., Goretzke, J.A., and Holden, J.P., 2024, Bottom trawl assessment of Lake Ontario's benthic preyfish community, 2023, 14 p.","productDescription":"14 p.","ipdsId":"IP-163567","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":432594,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":432593,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.glfc.org/publication-media-search.php"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -80.57887370293341,\n 42.975619501114664\n ],\n [\n -75.22853190605852,\n 42.975619501114664\n ],\n [\n -75.22853190605852,\n 44.71854185068483\n ],\n [\n -80.57887370293341,\n 44.71854185068483\n ],\n [\n -80.57887370293341,\n 42.975619501114664\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"O’Malley, Brian 0000-0001-5035-3080 bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":909660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Minihkeim, Scott P. 0000-0003-4958-2462","orcid":"https://orcid.org/0000-0003-4958-2462","contributorId":265808,"corporation":false,"usgs":true,"family":"Minihkeim","given":"Scott","email":"","middleInitial":"P.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":909661,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mitchinson, Olivia Margaret 0009-0002-7999-1160","orcid":"https://orcid.org/0009-0002-7999-1160","contributorId":339869,"corporation":false,"usgs":true,"family":"Mitchinson","given":"Olivia","email":"","middleInitial":"Margaret","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":909662,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stahl, Scott David 0009-0002-0248-4523","orcid":"https://orcid.org/0009-0002-0248-4523","contributorId":339870,"corporation":false,"usgs":true,"family":"Stahl","given":"Scott","email":"","middleInitial":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":909663,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goretzke, Jessica A 0000-0003-2504-3712","orcid":"https://orcid.org/0000-0003-2504-3712","contributorId":302058,"corporation":false,"usgs":false,"family":"Goretzke","given":"Jessica","email":"","middleInitial":"A","affiliations":[{"id":13678,"text":"New York State Department of Environmental Conservation","active":true,"usgs":false}],"preferred":false,"id":909664,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holden, Jeremy P.","contributorId":251689,"corporation":false,"usgs":false,"family":"Holden","given":"Jeremy","email":"","middleInitial":"P.","affiliations":[{"id":50374,"text":"Ontario Ministry of Natural Resources and Forests (OMNRF)","active":true,"usgs":false}],"preferred":false,"id":909665,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70256402,"text":"ofr20241049 - 2024 - Methods for computing water-quality concentrations and loads at sites operated by the U.S. Geological Survey Kansas Water Science Center","interactions":[],"lastModifiedDate":"2024-08-01T13:51:09.369775","indexId":"ofr20241049","displayToPublicDate":"2024-08-01T07:14:10","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-1049","displayTitle":"Methods for Computing Water-Quality Concentrations and Loads at Sites Operated by the U.S. Geological Survey Kansas Water Science Center","title":"Methods for computing water-quality concentrations and loads at sites operated by the U.S. Geological Survey Kansas Water Science Center","docAbstract":"

The U.S. Geological Survey (USGS) Kansas Water Science Center (KSWSC) has published time-series computations of water-quality concentrations and loads based on in situ sensor data since 1995. Water-quality constituent concentrations or densities are computed using regression models that relate in situ sensor values to laboratory analyses of periodically collected samples. These regression models currently (2024) follow no uniform published guidance and are individually documented through USGS reports. This report describes updated (2024) procedures designed to improve the consistency, quality, and timeliness of computed continuous water-quality data produced by the USGS KSWSC. Beginning in 2024, models developed by the USGS KSWSC that follow specific procedures and requirements related to sample collection, model fit, and model documentation outlined in this report are planned to be published and stored in the USGS National Real-Time Water Quality Data for the Nation Data Service. This report also describes USGS KSWSC procedures for evaluating and publishing time-series water-quality computations after initial model development and documentation. This guidance can be used to improve USGS KSWSC model development and data computation consistency and streamline the time-series water-quality computation process from model development to publication.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241049","usgsCitation":"Stone, M.L., Lee, C.J., Rasmussen, T.J., Williams, T.J., Kramer, A.R., and Klager, B.J., 2024, Methods for computing water-quality concentrations and loads at sites operated by the U.S. Geological Survey Kansas Water Science Center: U.S. Geological Survey Open-File Report 2024–1049, 10 p., https://doi.org/10.3133/ofr20241049.","productDescription":"Report: iii, 10 p.; 2 Appendixes","numberOfPages":"18","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-160483","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"links":[{"id":431715,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1049/coverthb.jpg"},{"id":431716,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1049/ofr20241049.pdf","text":"Report","size":"628 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2024–1049"},{"id":431717,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1049/ofr20241049.XML"},{"id":431718,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1049/images/"},{"id":431720,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241049/full"},{"id":431719,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2024/1049/downloads/","text":"Appendixes 1 and 2"}],"contact":"

Director, Kansas Water Science Center
U.S. Geological Survey
1217 Biltmore Drive
Lawrence, KS 66049

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2024-08-01","noUsgsAuthors":false,"publicationDate":"2024-08-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Stone, Mandy L. 0000-0002-6711-1536","orcid":"https://orcid.org/0000-0002-6711-1536","contributorId":214749,"corporation":false,"usgs":true,"family":"Stone","given":"Mandy L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":907261,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lee, Casey J. 0000-0002-5753-2038 cjlee@usgs.gov","orcid":"https://orcid.org/0000-0002-5753-2038","contributorId":2627,"corporation":false,"usgs":true,"family":"Lee","given":"Casey","email":"cjlee@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":907262,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rasmussen, Teresa J. 0000-0002-7023-3868 rasmuss@usgs.gov","orcid":"https://orcid.org/0000-0002-7023-3868","contributorId":3336,"corporation":false,"usgs":true,"family":"Rasmussen","given":"Teresa","email":"rasmuss@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":907263,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Williams, Thomas J. 0000-0003-3124-3243 tjwilliams@usgs.gov","orcid":"https://orcid.org/0000-0003-3124-3243","contributorId":185244,"corporation":false,"usgs":true,"family":"Williams","given":"Thomas","email":"tjwilliams@usgs.gov","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":907264,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kramer, Ariele R. 0000-0002-7075-3310 akramer@usgs.gov","orcid":"https://orcid.org/0000-0002-7075-3310","contributorId":185245,"corporation":false,"usgs":true,"family":"Kramer","given":"Ariele","email":"akramer@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":907265,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Klager, Brian J. 0000-0001-8361-6043","orcid":"https://orcid.org/0000-0001-8361-6043","contributorId":214750,"corporation":false,"usgs":true,"family":"Klager","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":907266,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70263328,"text":"70263328 - 2024 - Incorporating measurements of vertical land motion in wetland surface elevation change analyses","interactions":[],"lastModifiedDate":"2025-02-06T16:54:56.712584","indexId":"70263328","displayToPublicDate":"2024-07-31T10:50:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1584,"text":"Estuaries and Coasts","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating measurements of vertical land motion in wetland surface elevation change analyses","docAbstract":"

We compared elevation trajectories from 14 rod surface elevation table (RSET) stations and 60 real-time kinematic (RTK) global positioning system (GPS) transects within the Blackwater National Wildlife Refuge (BNWR) from 2010–2013. The results were similar, 7.3 ± 0.9 (mean ± standard error; RSET) versus 6.2 ± 0.6 mm year−1 (RTK) (P = 0.216), and were greater than relative sea level rise (RSLR) computed at the nearest long-term tide station (3.9 ± 0.29 mm year−1). Despite having shown elevation gain, these wetlands continue to drown and convert to open water. Episodic, multi-day GPS measurements on geodetic control marks at BNWR between 2005 and 2023 revealed a substantial vertical land motion (VLM) signal. From 2005 to 2015, three reference marks used to control the 2010–2013 RTK study lost on average 6.0 ± 0.7 mm year−1, corresponding to 80% and 94% of the elevation gain measured by the RSET and RTK techniques, respectively. The longer 18-year subsidence trend measured on one of these marks was lower, 3.9 ± 0.7 mm year−1, highlighting important interannual variability. Wetland elevation change measurements need to account for VLM occurring below the reference marks used to measure elevation change. Estimates from the nearest long-term tide station may not be applicable to the wetland if the tide station is in a different geological setting. At BNWR, VLM was higher than the VLM at the Cambridge tide station, which helps explain why wetlands at BNWR are not keeping pace with RSLR despite the measured high rates of elevation gain.

","language":"English","publisher":"Springer","doi":"10.1007/s12237-024-01406-y","usgsCitation":"Hensel, P., Cahoon, D., Guntenspergen, G.R., Mitchell, L.G., Whitbeck, M., and Scott, G., 2024, Incorporating measurements of vertical land motion in wetland surface elevation change analyses: Estuaries and Coasts, v. 47, p. 2094-2105, https://doi.org/10.1007/s12237-024-01406-y.","productDescription":"12 p.","startPage":"2094","endPage":"2105","ipdsId":"IP-156627","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":481759,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Blackwater National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.22736128311278,\n 38.483803584358895\n ],\n [\n -76.22736128311278,\n 38.3793129820732\n ],\n [\n -76.0029285676572,\n 38.3793129820732\n ],\n [\n -76.0029285676572,\n 38.483803584358895\n ],\n [\n -76.22736128311278,\n 38.483803584358895\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"47","noUsgsAuthors":false,"publicationDate":"2024-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Hensel, P.","contributorId":350602,"corporation":false,"usgs":false,"family":"Hensel","given":"P.","affiliations":[{"id":34670,"text":"NOAA National Geodetic Survey","active":true,"usgs":false}],"preferred":false,"id":926401,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cahoon, Donald R. 0000-0002-2591-5667","orcid":"https://orcid.org/0000-0002-2591-5667","contributorId":219657,"corporation":false,"usgs":true,"family":"Cahoon","given":"Donald","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926402,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":926403,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mitchell, L. G.","contributorId":102978,"corporation":false,"usgs":true,"family":"Mitchell","given":"L.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":926404,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whitbeck, M.","contributorId":24976,"corporation":false,"usgs":false,"family":"Whitbeck","given":"M.","email":"","affiliations":[{"id":25470,"text":"U.S. Fish & Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":926405,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Scott, Galen","contributorId":350603,"corporation":false,"usgs":false,"family":"Scott","given":"Galen","affiliations":[{"id":34670,"text":"NOAA National Geodetic Survey","active":true,"usgs":false}],"preferred":false,"id":926406,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70256788,"text":"70256788 - 2024 - Low-flow period seasonality, trends, and climate linkages across the United States","interactions":[],"lastModifiedDate":"2024-08-13T14:41:37.568761","indexId":"70256788","displayToPublicDate":"2024-07-31T09:46:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1927,"text":"Hydrological Sciences Journal","active":true,"publicationSubtype":{"id":10}},"title":"Low-flow period seasonality, trends, and climate linkages across the United States","docAbstract":"

Low-flow period properties, including timing, magnitude, and duration, influence many key processes for water resource managers and ecosystems. We computed annual low-flow period duration and timing metrics from 1951 to 2020 for 1032 conterminous United States (CONUS) streamgages and analyzed spatial patterns, trends through time, and relationships to climate. Results show northwestern and eastern CONUS streamgages had longer and more inter-annually consistent low-flow period durations, while central CONUS periods were shorter and more variable. Low-flow periods most often occurred in summer months but start and end dates occurred later in north-central and mountainous western CONUS, which have the greatest number of low flows during cold seasons. Low-flow periods are becoming longer in southeastern and northwestern CONUS but shorter in much of the rest of CONUS. Temperature was correlated with low-flow period duration in southeastern and northwestern CONUS, and precipitation was correlated with duration everywhere, but most strongly in eastern CONUS.

","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02626667.2024.2369639","usgsCitation":"Simeone, C., McCabe, G.J., Hecht, J.S., Hammond, J., Hodgkins, G.A., Olson, C.G., Wieczorek, M., and Wolock, D.M., 2024, Low-flow period seasonality, trends, and climate linkages across the United States: Hydrological Sciences Journal, v. 69, no. 10, p. 1387-1398, https://doi.org/10.1080/02626667.2024.2369639.","productDescription":"12 p.","startPage":"1387","endPage":"1398","ipdsId":"IP-144967","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science 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Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":908954,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wolock, David M. 0000-0002-6209-938X","orcid":"https://orcid.org/0000-0002-6209-938X","contributorId":219213,"corporation":false,"usgs":true,"family":"Wolock","given":"David","email":"","middleInitial":"M.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":908955,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70256400,"text":"sir20245033 - 2024 - Assessment of long-term changes in surface-water extent within Klamath Marsh, south-central Oregon, 1985–2021","interactions":[],"lastModifiedDate":"2026-02-03T18:28:42.919405","indexId":"sir20245033","displayToPublicDate":"2024-07-30T12:53:26","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2024-5033","displayTitle":"Assessment of Long-Term Changes in Surface-Water Extent Within Klamath Marsh, South-Central Oregon, 1985–2021","title":"Assessment of long-term changes in surface-water extent within Klamath Marsh, south-central Oregon, 1985–2021","docAbstract":"

The annual maximum extent of surface water in Klamath Marsh has naturally fluctuated in response to periods of wet and dry conditions in the surrounding basin. Field observations during the 2010s indicate that the annual maximum extent of surface water has been declining and the marsh is not responding to hydrologic inputs as it had historically. This report describes the results of a hydrologic evaluation of Klamath Marsh to characterize and understand multi-year declines in the surface-water extent and increased intermittency of streamflow exiting the marsh.

Landsat imagery collected during 1985–2021 was processed to create a time series of annual maximum surface-water extent to assess changes in surface-water inundation within the marsh. A 50-percent decrease in the mean surface area of annual total open-water extent (TOWE) during the latter half of the study period (2003–21) compared to the first half (1985–2003) was observed in this 37-year time-series dataset. The change in open-water extent was offset by a corresponding increase in dry land in the marsh.

Time series of streamflow, groundwater level, total annual precipitation, annual mean temperature, and anthropogenic water use and water management were compiled and evaluated to improve understanding of the factors affecting TOWE. Statistically significant downward trends in the regional groundwater table and streamflow into and out of the marsh were identified as well as statistically significant upward trends in annual mean temperature. Statistically significant correlations among TOWE, streamflow, and groundwater level also were identified. The decreasing trends could not be attributed to changes in total annual precipitation or changing anthropogenic groundwater use within the study area.

Declines in the open-water extent of Klamath Marsh since 2000 principally are due to a decoupling of the groundwater and surface-water system beneath the marsh because of regional declines in groundwater level. Regional increases in air temperature and the reestablishment of more than 55,000 acres of forested land within the study area have likely contributed to increasing evapotranspiration, leaving less water available for groundwater recharge and stream base flow and resulting in basin-wide declines in streamflow and groundwater levels.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245033","collaboration":"Prepared in cooperation with the Klamath Tribes","usgsCitation":"Kennedy, J.J., Johnson, H.M., Gingerich, S.B., 2024, Assessment of long-term changes in surface-water extent within Klamath Marsh, south-central Oregon, 1985–2021: U.S. Geological Survey Scientific Investigations Report 2024–5033, 32 p., https://doi.org/10.3133/sir20245033.","productDescription":"Report: ix, 32 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-153514","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":499460,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117151.htm","linkFileType":{"id":5,"text":"html"}},{"id":431674,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5033/sir20245033.XML"},{"id":431673,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5033/images"},{"id":431672,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RC7RJM","text":"USGS data release","description":"USGS data release","linkHelpText":"Klamath Marsh January through June maximum surface water extent, 1985–2021"},{"id":431671,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245033/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5033"},{"id":431670,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5033/sir20245033.pdf","text":"Report","size":"6.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5033"},{"id":431669,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5033/sir20245033.jpg"}],"country":"United States","state":"Oregon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.27115315992094,\n 43.15707158138778\n ],\n [\n -122.27115315992094,\n 42.30\n ],\n [\n -121.15,\n 42.30\n ],\n [\n -121.15,\n 43.15707158138778\n ],\n [\n -122.27115315992094,\n 43.15707158138778\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Oregon Water Science Center
U.S. Geological Survey
601 SW 2nd Avenue, Suite 1950
Portland, OR 97204

","tableOfContents":"","publishedDate":"2024-07-30","noUsgsAuthors":false,"publicationDate":"2024-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Kennedy, Joseph J. 0000-0002-6608-2366","orcid":"https://orcid.org/0000-0002-6608-2366","contributorId":333051,"corporation":false,"usgs":false,"family":"Kennedy","given":"Joseph J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":907252,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Henry M. 0000-0002-7571-4994 hjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7571-4994","contributorId":869,"corporation":false,"usgs":true,"family":"Johnson","given":"Henry","email":"hjohnson@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":907253,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":294524,"corporation":false,"usgs":false,"family":"Gingerich","given":"Stephen B.","email":"sbginger@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":907254,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70257008,"text":"70257008 - 2024 - Wildfires influence mercury transport, methylation, and bioaccumulation in headwater streams of the Pacific Northwest","interactions":[],"lastModifiedDate":"2024-08-26T14:54:12.603294","indexId":"70257008","displayToPublicDate":"2024-07-30T11:13:27","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Wildfires influence mercury transport, methylation, and bioaccumulation in headwater streams of the Pacific Northwest","docAbstract":"

The increasing frequency and severity of wildfires are among the most visible impacts of climate change. However, the effects of wildfires on mercury (Hg) transformations and bioaccumulation in stream ecosystems are poorly understood. We sampled soils, water, sediment, in-stream leaf litter, periphyton, and aquatic invertebrates in 36 burned (one-year post fire) and 21 reference headwater streams across the northwestern U.S. to evaluate the effects of wildfire occurrence and severity on total Hg (THg) and methylmercury (MeHg) transport and bioaccumulation. Suspended particulate THg and MeHg concentrations were 89 and 178% greater in burned watersheds compared to unburned watersheds and increased with burn severity, likely associated with increased soil erosion. Concentrations of filter-passing THg were similar in burned and unburned watersheds, but filter-passing MeHg was 51% greater in burned watersheds, and suspended particles in burned watersheds were enriched in MeHg but not THg, suggesting higher MeHg production in burned watersheds. Among invertebrates, MeHg in grazers, filter-feeders, and collectors was 33, 48, and 251% greater in burned watersheds, respectively, but did not differ in shredders or predators. Thus, increasing wildfire frequency and severity may yield increased MeHg production, mobilization, and bioaccumulation in headwaters and increased transport of particulate THg and MeHg to downstream environments.

","language":"English","publisher":"ACS Publications","doi":"10.1021/acs.est.4c00789","usgsCitation":"Baldwin, A.K., Willacker, J., Johnson, B.L., Janssen, S., and Eagles-Smith, C., 2024, Wildfires influence mercury transport, methylation, and bioaccumulation in headwater streams of the Pacific Northwest: Environmental Science & Technology, v. 58, no. 32, p. 14396-14409, https://doi.org/10.1021/acs.est.4c00789.","productDescription":"14 p.","startPage":"14396","endPage":"14409","ipdsId":"IP-155658","costCenters":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":439240,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c00789","text":"Publisher Index Page"},{"id":434921,"rank":2,"type":{"id":30,"text":"Data 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\"}}]}","volume":"58","issue":"32","noUsgsAuthors":false,"publicationDate":"2024-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Baldwin, Austin K. 0000-0002-6027-3823 akbaldwi@usgs.gov","orcid":"https://orcid.org/0000-0002-6027-3823","contributorId":4515,"corporation":false,"usgs":true,"family":"Baldwin","given":"Austin","email":"akbaldwi@usgs.gov","middleInitial":"K.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909117,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Willacker, James 0000-0002-6286-5224","orcid":"https://orcid.org/0000-0002-6286-5224","contributorId":207883,"corporation":false,"usgs":true,"family":"Willacker","given":"James","email":"","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":909118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Branden L. 0000-0002-8018-6452 branden_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-8018-6452","contributorId":257446,"corporation":false,"usgs":true,"family":"Johnson","given":"Branden","email":"branden_johnson@usgs.gov","middleInitial":"L.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":909119,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":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":909120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Eagles-Smith, Collin A. 0000-0003-1329-5285","orcid":"https://orcid.org/0000-0003-1329-5285","contributorId":221745,"corporation":false,"usgs":true,"family":"Eagles-Smith","given":"Collin A.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":909121,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257035,"text":"70257035 - 2024 - Freshwater biogeochemical hotspots: High primary production and ecosystem respiration in shallow waterbodies","interactions":[],"lastModifiedDate":"2024-08-07T13:53:19.796352","indexId":"70257035","displayToPublicDate":"2024-07-30T08:35:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Freshwater biogeochemical hotspots: High primary production and ecosystem respiration in shallow waterbodies","docAbstract":"

Ponds, wetlands, and shallow lakes (collectively “shallow waterbodies”) are among the most biogeochemically active freshwater ecosystems. Measurements of gross primary production (GPP), respiration (R), and net ecosystem production (NEP) are rare in shallow waterbodies compared to larger and deeper lakes, which can bias our understanding of lentic ecosystem processes. In this study, we calculated GPP, R, and NEP in 26 small, shallow waterbodies across temperate North America and Europe. We observed high rates of GPP (mean 8.4 g O2 m−3 d−1) and R (mean −9.1 g O2 m−3 d−1), while NEP varied from net heterotrophic to autotrophic. Metabolism rates were affected by depth and aquatic vegetation cover, and the shallowest waterbodies had the highest GPP, R, and the most variable NEP. The shallow waterbodies from this study had considerably higher metabolism rates compared to deeper lakes, stressing the importance of these systems as highly productive biogeochemical hotspots.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2023GL106689","usgsCitation":"Rabaey, J., Holgerson, M., Richardson, D., Andersen, M., Bansal, S., Bortolotti, L.E., Cotner, J., Hornbach, D., Martinsen, K.T., Moody, E., and Schloegel, O.F., 2024, Freshwater biogeochemical hotspots: High primary production and ecosystem respiration in shallow waterbodies: Geophysical Research Letters, v. 51, no. 15, e2023GL106689, 11 p., https://doi.org/10.1029/2023GL106689.","productDescription":"e2023GL106689, 11 p.","ipdsId":"IP-151249","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":439241,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2023gl106689","text":"Publisher Index Page"},{"id":432335,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"15","noUsgsAuthors":false,"publicationDate":"2024-07-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Rabaey, Joseph","contributorId":341941,"corporation":false,"usgs":false,"family":"Rabaey","given":"Joseph","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":909219,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Holgerson, Meredith","contributorId":218790,"corporation":false,"usgs":false,"family":"Holgerson","given":"Meredith","affiliations":[{"id":6929,"text":"Portland State University","active":true,"usgs":false}],"preferred":false,"id":909220,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richardson, David ","contributorId":223903,"corporation":false,"usgs":false,"family":"Richardson","given":"David ","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":909221,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Andersen, Mikkel R.","contributorId":223161,"corporation":false,"usgs":false,"family":"Andersen","given":"Mikkel R.","affiliations":[],"preferred":false,"id":909222,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":909223,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bortolotti, Lauren E","contributorId":265772,"corporation":false,"usgs":false,"family":"Bortolotti","given":"Lauren","email":"","middleInitial":"E","affiliations":[{"id":7182,"text":"Ducks Unlimited Canada","active":true,"usgs":false}],"preferred":false,"id":909224,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cotner, James","contributorId":341943,"corporation":false,"usgs":false,"family":"Cotner","given":"James","affiliations":[],"preferred":false,"id":909225,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hornbach, Daniel","contributorId":341945,"corporation":false,"usgs":false,"family":"Hornbach","given":"Daniel","affiliations":[],"preferred":false,"id":909226,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Martinsen, Kenneth T.","contributorId":341952,"corporation":false,"usgs":false,"family":"Martinsen","given":"Kenneth","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":909227,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Moody, Eric","contributorId":341949,"corporation":false,"usgs":false,"family":"Moody","given":"Eric","email":"","affiliations":[],"preferred":false,"id":909228,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schloegel, Olivia F.","contributorId":341953,"corporation":false,"usgs":false,"family":"Schloegel","given":"Olivia","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":909229,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70258336,"text":"70258336 - 2024 - Resilient riverine social–ecological systems: A new paradigm to meet global conservation targets","interactions":[],"lastModifiedDate":"2024-11-04T19:39:44.275519","indexId":"70258336","displayToPublicDate":"2024-07-29T09:30:59","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Resilient riverine social–ecological systems: A new paradigm to meet global conservation targets","docAbstract":"

The United Nations' Convention on Biological Diversity set forth the 30 × 30 target, an agenda for countries to protect at least 30% of their terrestrial, inland water, and coastal and marine areas by 2030. With <6 years to reach that goal, riverine conservation professionals are faced with the difficult decision of prioritizing which rivers or river segments should be conserved (protected and/or restored). While incorporating resilience into conservation planning is essential for enhancing, restoring, and maintaining the vital riverine ecosystem services (ES) most threatened by climate change and other environmental and human stresses, this paradigm is at odds with traditional conservation approaches that are either opportunistic or reactionary, where only unique and highly visible ecosystems have been prioritized. Barriers to implementing resilience-based riverine conservation planning include: (1) difficulties in conceptualizing and quantifying resilience; (2) insufficient consideration of the social components of riverine systems; (3) the inapplicability of terrestrial-only conservation models to aquatic systems; and (4) the traditional ad hoc and opportunistic approach to conservation. To overcome these barriers, we propose a resilience-based riverine conservation framework that includes: (1) assessing riverine resilience using indicator frameworks; (2) considering rivers as dynamically coupled social–ecological systems; (3) explicitly incorporating terrestrial–aquatic network connectivity into conservation decision-making; and (4) strategic systems planning using a novel resilience–conservation matrix as a tool. This framework has the potential to transform conservation practices around the globe to more effectively protect river systems and enhance their resilience to climate change and human development.

","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1753","usgsCitation":"Perry, D.M., Praskievicz, S.J., McManamay, R., Saxena, A., Grimm, K.C., Zegre, N., Bair, L., Ruddell, B., and Rushforth, R., 2024, Resilient riverine social–ecological systems: A new paradigm to meet global conservation targets: WIREs Water, v. 11, no. 6, e1753, 22 p., https://doi.org/10.1002/wat2.1753.","productDescription":"e1753, 22 p.","ipdsId":"IP-155185","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":439243,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/wat2.1753","text":"Publisher Index Page"},{"id":433693,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Perry, Denielle M.","contributorId":215885,"corporation":false,"usgs":false,"family":"Perry","given":"Denielle","email":"","middleInitial":"M.","affiliations":[{"id":39324,"text":"School of Earth and Sustainability, Northern Arizona University, Flagstaff, Arizona 86011, USA","active":true,"usgs":false}],"preferred":false,"id":912928,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Praskievicz, Sarah J. 0000-0002-9380-7625","orcid":"https://orcid.org/0000-0002-9380-7625","contributorId":245989,"corporation":false,"usgs":false,"family":"Praskievicz","given":"Sarah","email":"","middleInitial":"J.","affiliations":[{"id":49396,"text":"University of North Carolina-Greensboro","active":true,"usgs":false}],"preferred":false,"id":912929,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McManamay, Ryan","contributorId":205277,"corporation":false,"usgs":false,"family":"McManamay","given":"Ryan","affiliations":[{"id":37070,"text":"Oak Ridge National Laboratory","active":true,"usgs":false}],"preferred":false,"id":912930,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saxena, Alark","contributorId":344137,"corporation":false,"usgs":false,"family":"Saxena","given":"Alark","email":"","affiliations":[{"id":82298,"text":"School of Forestry, Northern Arizona University, Flagstaff, AZ 86001","active":true,"usgs":false}],"preferred":false,"id":912931,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Grimm, K. C.","contributorId":173997,"corporation":false,"usgs":false,"family":"Grimm","given":"K.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":912932,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zegre, Nicholas","contributorId":344138,"corporation":false,"usgs":false,"family":"Zegre","given":"Nicholas","email":"","affiliations":[{"id":82301,"text":"Forestry & Natural Resources, West Virginia University, Morgantown, WV 25606","active":true,"usgs":false}],"preferred":false,"id":912933,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bair, Lucas 0000-0002-9911-3624","orcid":"https://orcid.org/0000-0002-9911-3624","contributorId":248714,"corporation":false,"usgs":true,"family":"Bair","given":"Lucas","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":912934,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Ruddell, Benjamin L.","contributorId":247513,"corporation":false,"usgs":false,"family":"Ruddell","given":"Benjamin L.","affiliations":[{"id":49567,"text":"Northern Arizona University, Professor","active":true,"usgs":false}],"preferred":false,"id":912935,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rushforth, Richard","contributorId":239630,"corporation":false,"usgs":false,"family":"Rushforth","given":"Richard","email":"","affiliations":[],"preferred":false,"id":912936,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70259267,"text":"70259267 - 2024 - Genetic origins of a resurging lake whitefish, Coregonus clupeaformis, population in the Detroit River, Laurentian Great Lakes","interactions":[],"lastModifiedDate":"2024-10-03T14:25:51.587319","indexId":"70259267","displayToPublicDate":"2024-07-29T09:19:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17451,"text":"International Journal of Limnology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Genetic origins of a resurging lake whitefish, Coregonus clupeaformis, population in the Detroit River, Laurentian Great Lakes","title":"Genetic origins of a resurging lake whitefish, Coregonus clupeaformis, population in the Detroit River, Laurentian Great Lakes","docAbstract":"

The Detroit River connects Lake Huron and Lake Erie of the Laurentian Great Lakes. The river once supported a substantial lake whitefish (Coregonus clupeaformis) fishery until the early 1900s, when habitat loss, pollution, and overfishing contributed to the collapse of the fishery and loss of spawning populations in the river. In the early 1970s, efforts were initiated to improve water and habitat quality, and in December 2005 a spawning male lake whitefish and viable eggs were collected; the first documented evidence of spawning since 1916. Researchers have tracked the spawning magnitude of the lake whitefish population in the Detroit River since 2005 by assessing the number of eggs deposited on egg mats. Genetic analysis of larval fish hatched from eggs collected in the field between 2005 and 2018 was used to determine the relative contributions of Lake Erie and Lake Huron to the resurging population. Over 80% of the hatched larvae had parents originating from Lake Erie in all the years sampled. The estimated number of full-sibling families sampled at Belle Isle was the same in 2010 and 2014 and varied between 2009 and 2016 at Fighting Island. The estimated number of lake whitefish parents at Fighting Island decreased in the most recent collections possibly due to loss of habitat on spawning reefs due to sedimentation. Our results provide additional evidence that restored spawning habitat in the Detroit River is again being used by lake whitefish and continued reproduction at these sites may improve the Great Lakes portfolio of ecological and genetic diversity.

","language":"English","publisher":"EDP Sciences","doi":"10.1051/limn/2024010","usgsCitation":"Stott, W., DeBruyne, R.L., and Roseman, E., 2024, Genetic origins of a resurging lake whitefish, Coregonus clupeaformis, population in the Detroit River, Laurentian Great Lakes: International Journal of Limnology, v. 60, 10, 9 p., https://doi.org/10.1051/limn/2024010.","productDescription":"10, 9 p.","ipdsId":"IP-159761","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":466975,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1051/limn/2024010","text":"Publisher Index Page"},{"id":462537,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Detroit River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.92974379886444,\n 42.320885514763944\n ],\n [\n -82.93150820557078,\n 42.375687701381\n ],\n [\n -83.04803645548763,\n 42.36130091588191\n ],\n [\n -83.05685668569498,\n 42.302604707272366\n ],\n [\n -82.92974379886444,\n 42.320885514763944\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -83.14512855848481,\n 42.281713913516256\n ],\n [\n -83.14512855848481,\n 42.144417203656815\n ],\n [\n -83.08510300477313,\n 42.144417203656815\n ],\n [\n -83.08510300477313,\n 42.281713913516256\n ],\n [\n -83.14512855848481,\n 42.281713913516256\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"60","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Stott, Wendylee 0000-0002-5252-4901","orcid":"https://orcid.org/0000-0002-5252-4901","contributorId":242990,"corporation":false,"usgs":false,"family":"Stott","given":"Wendylee","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":914717,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DeBruyne, Robin L. 0000-0002-9232-7937 rdebruyne@usgs.gov","orcid":"https://orcid.org/0000-0002-9232-7937","contributorId":4936,"corporation":false,"usgs":true,"family":"DeBruyne","given":"Robin","email":"rdebruyne@usgs.gov","middleInitial":"L.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":914718,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":914719,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70264785,"text":"70264785 - 2024 - Estimating species-specific U.S. waterfowl harvest","interactions":[],"lastModifiedDate":"2025-03-24T13:55:27.652976","indexId":"70264785","displayToPublicDate":"2024-07-29T08:51:12","publicationYear":"2024","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"Estimating species-specific U.S. waterfowl harvest","docAbstract":"

The U.S. Fish and Wildlife Service monitors species-specific waterfowl (ducks, seaducks, geese, and brant) harvest through two hunter surveys, one that estimates the total harvest for each waterfowl group, and a second that estimates the species composition of each waterfowl group. Point estimates for species-specific harvest can be computed by multiplying the estimated total harvest by the estimated proportion of the total harvest of each species. However, to date, no uncertainty estimates have been available. Here, we combine these two data sources to provide species-specific harvest estimates at the state and flyway level while characterizing the uncertainty via Bayesian estimation. We take a similar approach to Smith et al. (2022), providing both estimates that treat yearly data as independent and estimates that share information across years via a random walk process. We then discuss the advantages and disadvantages of each approach.

","language":"English","publisher":"bioRxiv","doi":"10.1101/2024.07.27.603620","usgsCitation":"Augustine, B., and Royle, A., 2024, Estimating species-specific U.S. waterfowl harvest: BioRxiv, https://doi.org/10.1101/2024.07.27.603620.","productDescription":"18 p.","ipdsId":"IP-166476","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":488364,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1101/2024.07.27.603620","text":"Publisher Index Page"},{"id":483704,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Augustine, Ben 0000-0001-6935-6361","orcid":"https://orcid.org/0000-0001-6935-6361","contributorId":245736,"corporation":false,"usgs":true,"family":"Augustine","given":"Ben","email":"","affiliations":[{"id":49304,"text":"Department of Natural Resources, Cornell University","active":true,"usgs":false}],"preferred":false,"id":931676,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":931677,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70273437,"text":"70273437 - 2024 - Effect of a dense inflow on the stratification of a steep-side lake","interactions":[],"lastModifiedDate":"2026-01-13T15:03:06.652077","indexId":"70273437","displayToPublicDate":"2024-07-29T07:57:09","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Effect of a dense inflow on the stratification of a steep-side lake","docAbstract":"We detail the effect of a small stream of dense inflow that significantly altered the stratification and water quality in a constructed water body in northern British Columbia, Canada. As the dense inflow passed through the epilimnion of the steep-sided lake, it entrained relatively large quantities of water. The resulting mixture of dense inflow and entrained epilimnetic water sank to the bottom of the lake. The removal of water from the epilimnion due to entrainment reduced the epilimnetic thickness. This opposes the normal process of epilimnetic deepening due to wind and convective cooling. The flux of fluid entrained into the dense inflow was calculated to be between 4 and 14 times the inflow, depending primarily on the thickness of the epilimnion. The entrainment had four major effects: (1) it reduced the residence time of the epilimnion from half a year to less than a month; (2) it removed the freshwater cap that resulted from spring ice melt; (3) it enabled fall turnover, which further enhanced deep oxygen content and helped to prevent meromixis from developing in the lake; and (4) it produced a rapid decline in contaminant (i.e., zinc) concentrations in the epilimnion, which received dissolved metals inputs from oxidized sulfide minerals exposed in the subaerial walls of the lake. Given the wide variety of inflows to inland water bodies, some of which are at least seasonally dense, an understanding of the mechanisms detailed here can inform lake management in general, and more specifically, management of water quality in mine-impacted water bodies.","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.12610","usgsCitation":"Pieters, R., Lawrence, G.A., Leung, A., Crusius, J., and Pedersen, T., 2024, Effect of a dense inflow on the stratification of a steep-side lake: Limnology and Oceanography, v. 69, no. 9, p. 1905-1917, https://doi.org/10.1002/lno.12610.","productDescription":"13 p.","startPage":"1905","endPage":"1917","ipdsId":"IP-118887","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":498693,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.12610","text":"Publisher Index Page"},{"id":498581,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"British Columbia","otherGeospatial":"Equity Silver mine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -134.58395292750401,\n 59.54223868737142\n ],\n [\n -134.58395292750401,\n 54.40820789569693\n ],\n [\n -120.03652361743525,\n 54.40820789569693\n ],\n [\n -120.03652361743525,\n 59.54223868737142\n ],\n [\n -134.58395292750401,\n 59.54223868737142\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"69","issue":"9","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Pieters, Roger","contributorId":365092,"corporation":false,"usgs":false,"family":"Pieters","given":"Roger","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":953692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lawrence, Gregory A. 0000-0001-8854-8123","orcid":"https://orcid.org/0000-0001-8854-8123","contributorId":305777,"corporation":false,"usgs":false,"family":"Lawrence","given":"Gregory","middleInitial":"A.","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":953693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Leung, Albert","contributorId":365093,"corporation":false,"usgs":false,"family":"Leung","given":"Albert","affiliations":[{"id":87038,"text":"Tetra Tech Canada","active":true,"usgs":false}],"preferred":false,"id":953694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Crusius, John 0000-0003-2554-0831 jcrusius@usgs.gov","orcid":"https://orcid.org/0000-0003-2554-0831","contributorId":2155,"corporation":false,"usgs":true,"family":"Crusius","given":"John","email":"jcrusius@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":953695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pedersen, Thomas","contributorId":365095,"corporation":false,"usgs":false,"family":"Pedersen","given":"Thomas","affiliations":[{"id":16829,"text":"University of Victoria","active":true,"usgs":false}],"preferred":false,"id":953696,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70258229,"text":"70258229 - 2024 - 3-D geological modeling for numerical flow simulation studies of gas hydrate reservoirs at the Kuparuk State 7-11-12 Pad in the Prudhoe Bay Unit on the Alaska North Slope","interactions":[],"lastModifiedDate":"2024-09-09T14:11:34.989533","indexId":"70258229","displayToPublicDate":"2024-07-29T07:09:39","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1513,"text":"Energy and Fuels","active":true,"publicationSubtype":{"id":10}},"title":"3-D geological modeling for numerical flow simulation studies of gas hydrate reservoirs at the Kuparuk State 7-11-12 Pad in the Prudhoe Bay Unit on the Alaska North Slope","docAbstract":"

Accurate reservoir evaluation requires reliable three-dimensional (3-D) geological models. This study conducted 3-D geological modeling for numerical flow simulation of the B1 sand gas hydrate reservoir at the Kuparuk State 7-11-12 pad, Prudhoe Bay Unit, Alaska North Slope. The model integrates well logs, core, and seismic data to address spatial heterogeneity in geological structures and reservoir properties. Two modeling types were performed: structural framework modeling and petrophysical property modeling. For structural framework modeling, seismic data and well log markers were used to reproduce subsurface structures characterized by a normal fault system. A volume-based modeling algorithm and stair-step gridding were applied. The resulting 3-D model comprised 2,640,000 grid cells across 264 layers, including seven fault grids. For petrophysical property modeling, total porosity was initially modeled using sequential Gaussian simulation with collocated cokriging. To reproduce the upward coarsening of the B1 sand, upscaled log-derived total porosity and a 3-D trend depicting total porosity variation were used as primary and secondary data, respectively. Gas hydrate saturation distribution was modeled similarly, with secondary data from estimated porosity distribution and seismic-derived acoustic impedance map enhancing accuracy. Results indicate higher gas hydrate saturation in the upper part of the B1 sand and areas with higher acoustic impedance. Intrinsic permeability was modeled from the total porosity and clay-bound water volume, and effective permeability was derived from the gas hydrate saturation and intrinsic permeability distributions based on the “Tokyo model”. Effective permeability distributions were influenced by the total porosity, gas hydrate saturation, and intrinsic permeability. Within the same layer, higher gas hydrate saturation leads to decreased effective permeability. In total, 100 sets of multiple scenarios were prepared, providing input data for dynamic flow simulations to evaluate the effects of lateral heterogeneity in reservoir properties and the hydraulic characteristics of faults on production behavior for preassessment before the long-term production test.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.energyfuels.4c01665","usgsCitation":"Tamaki, M., Taninaka, M., Ohtsuki, S., Than Tin, A., Shimoda, N., Collett, T., and Boswell, R., 2024, 3-D geological modeling for numerical flow simulation studies of gas hydrate reservoirs at the Kuparuk State 7-11-12 Pad in the Prudhoe Bay Unit on the Alaska North Slope: Energy and Fuels, v. 28, no. 16, p. 15248-15269, https://doi.org/10.1021/acs.energyfuels.4c01665.","productDescription":"22 p.","startPage":"15248","endPage":"15269","ipdsId":"IP-165534","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":489143,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.osti.gov/biblio/2447061","text":"External Repository"},{"id":433603,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -149.5,\n 70.5\n ],\n [\n -149.5,\n 70.2\n ],\n [\n -149,\n 70.2\n ],\n [\n -149,\n 70.5\n ],\n [\n -149.5,\n 70.5\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"28","issue":"16","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Tamaki, Machiko","contributorId":344039,"corporation":false,"usgs":false,"family":"Tamaki","given":"Machiko","affiliations":[{"id":82276,"text":"Japan Oil Engineering Co.","active":true,"usgs":false}],"preferred":false,"id":912666,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taninaka, Misuzu","contributorId":344040,"corporation":false,"usgs":false,"family":"Taninaka","given":"Misuzu","email":"","affiliations":[{"id":82276,"text":"Japan Oil Engineering Co.","active":true,"usgs":false}],"preferred":false,"id":912667,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ohtsuki, Satoshi","contributorId":344041,"corporation":false,"usgs":false,"family":"Ohtsuki","given":"Satoshi","affiliations":[{"id":82277,"text":"Japan Organization for Metals and Energy Security","active":true,"usgs":false}],"preferred":false,"id":912668,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Than Tin, Aung","contributorId":344042,"corporation":false,"usgs":false,"family":"Than Tin","given":"Aung","email":"","affiliations":[{"id":82277,"text":"Japan Organization for Metals and Energy Security","active":true,"usgs":false}],"preferred":false,"id":912669,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shimoda, Naoyuki","contributorId":344043,"corporation":false,"usgs":false,"family":"Shimoda","given":"Naoyuki","email":"","affiliations":[{"id":82277,"text":"Japan Organization for Metals and Energy Security","active":true,"usgs":false}],"preferred":false,"id":912670,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Collett, Timothy 0000-0002-7598-4708","orcid":"https://orcid.org/0000-0002-7598-4708","contributorId":220806,"corporation":false,"usgs":true,"family":"Collett","given":"Timothy","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":912671,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boswell, Ray","contributorId":344044,"corporation":false,"usgs":false,"family":"Boswell","given":"Ray","affiliations":[{"id":64933,"text":"National Energy Technology Laboratory","active":true,"usgs":false}],"preferred":false,"id":912672,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70257088,"text":"70257088 - 2024 - Evidence of long-range transport of selenium downstream of coal mining operations in the Elk River Valley, Canada","interactions":[],"lastModifiedDate":"2024-08-26T14:59:05.469103","indexId":"70257088","displayToPublicDate":"2024-07-29T07:02:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7485,"text":"Environmental Science and Technology Letters","active":true,"publicationSubtype":{"id":10}},"title":"Evidence of long-range transport of selenium downstream of coal mining operations in the Elk River Valley, Canada","docAbstract":"

Expanding coal-mining operations in the Elk River Valley (British Columbia, Canada) have increased total selenium (Se) concentrations in the transboundary Lake Koocanusa (Canada and United States), but the spatial extent of Se transport from the Elk River Mines is unknown. We evaluated multiple lines of evidence of long-range transport of Se at five sites downstream of the mines relative to a site unaffected by the mines. First, all mine-affected sites had increasing trends in flow-normalized Se concentrations between 2005 and 2021 (35–89%), while no trend was observed at the unaffected site between 2005 and 2017. Second, all mine-affected sites had elevated annual mean Se concentrations and 5-year mean annual loads (2013–2017) by up to an order of magnitude relative to the unaffected site. Third, Se concentrations and the magnitude of the concentration trend generally decreased with distance downstream from the mines while loads increased, which is consistent with the downstream transport of the bulk of the Se load from the mines with smaller contributions from other sources. These results provide multiple lines of evidence that Se from the Elk River Mines is transported over 575 river kilometers and may pose risks to aquatic life in the transboundary Columbia River.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.estlett.4c00222","usgsCitation":"Foster, M.J., Storb, M.B., Blake, J., Schmidt, T., Nustad, R.A., and Bussell, A.M., 2024, Evidence of long-range transport of selenium downstream of coal mining operations in the Elk River Valley, Canada: Environmental Science and Technology Letters, v. 11, no. 8, p. 856-861, https://doi.org/10.1021/acs.estlett.4c00222.","productDescription":"6 p.","startPage":"856","endPage":"861","ipdsId":"IP-159264","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":439245,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.estlett.4c00222","text":"Publisher Index Page"},{"id":432431,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","otherGeospatial":"Elk River Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.53615187303481,\n 49.60146010788165\n ],\n [\n -115.16325355384835,\n 49.60146010788165\n ],\n [\n -115.16325355384835,\n 49.00995222903563\n ],\n [\n -114.53615187303481,\n 49.00995222903563\n ],\n [\n -114.53615187303481,\n 49.60146010788165\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Foster, Madison Jo 0000-0001-6245-8592","orcid":"https://orcid.org/0000-0001-6245-8592","contributorId":340373,"corporation":false,"usgs":true,"family":"Foster","given":"Madison","email":"","middleInitial":"Jo","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storb, Meryl Biesiot 0000-0002-4346-5022","orcid":"https://orcid.org/0000-0002-4346-5022","contributorId":305621,"corporation":false,"usgs":true,"family":"Storb","given":"Meryl","email":"","middleInitial":"Biesiot","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blake, Johanna 0000-0003-4667-0096","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":217272,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schmidt, Travis S. 0000-0003-1400-0637 tschmidt@usgs.gov","orcid":"https://orcid.org/0000-0003-1400-0637","contributorId":1300,"corporation":false,"usgs":true,"family":"Schmidt","given":"Travis S.","email":"tschmidt@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":909365,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nustad, Rochelle A. 0000-0002-4713-5944 ranustad@usgs.gov","orcid":"https://orcid.org/0000-0002-4713-5944","contributorId":1811,"corporation":false,"usgs":true,"family":"Nustad","given":"Rochelle","email":"ranustad@usgs.gov","middleInitial":"A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":909366,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bussell, Ashley Morgan 0000-0003-4586-7305","orcid":"https://orcid.org/0000-0003-4586-7305","contributorId":303898,"corporation":false,"usgs":true,"family":"Bussell","given":"Ashley","email":"","middleInitial":"Morgan","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":909367,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70257805,"text":"70257805 - 2024 - High resolution identification and quantification of diffuse deep groundwater discharge in mountain rivers using continuous boat-mounted helium measurements","interactions":[],"lastModifiedDate":"2024-08-28T11:55:23.849904","indexId":"70257805","displayToPublicDate":"2024-07-27T06:52:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"High resolution identification and quantification of diffuse deep groundwater discharge in mountain rivers using continuous boat-mounted helium measurements","docAbstract":"

Discharge of deeply sourced groundwater to streams is difficult to locate and quantify, particularly where both discrete and diffuse discharge points exist, but diffuse discharge is one of the primary controls on solute budgets in mountainous watersheds. The noble gas helium is a unique identifier of deep groundwater discharge because groundwater with long residence times is commonly enriched in helium. In this study, a portable mass spectrometer was used to measure longitudinal variation in dissolved helium concentrations in two mountainous rivers at high spatial resolution not feasible with traditional sampling techniques. Helium profiles were then simulated using a mass-balance model to quantify longitudinal variation in groundwater discharge to the receiving rivers. Results indicate helium concentrations were enriched by multiple orders of magnitude above atmospheric equilibrium in both rivers and that this persisted for up to 18 km below observed pulse inputs in the Colorado River. Helium mass-balance models match observed longitudinal patterns with the exception of sharp initial increases in helium observed in the rivers. Increased longitudinal groundwater discharge rates correspond to mapped geologic structures in both watersheds that likely transport deep geothermal water. Models show variable sensitivity to spatial assignment of input variables representing the groundwater source, illustrating the importance of collecting data from discrete groundwater discharges where possible. The methodology shows promise for field experiments designed to assess air–water exchange rates and to quantify total groundwater discharge from a combination of discrete and diffuse sources.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2024.131717","usgsCitation":"Newman, C.P., Humphrey, E., Brennwald, M., Gardner, W.P., Palko, K.M., Gooseff, M., and Solomon, K., 2024, High resolution identification and quantification of diffuse deep groundwater discharge in mountain rivers using continuous boat-mounted helium measurements: Journal of Hydrology, v. 640, 131717, 12 p., https://doi.org/10.1016/j.jhydrol.2024.131717.","productDescription":"131717, 12 p.","ipdsId":"IP-160271","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"links":[{"id":439247,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2024.131717","text":"Publisher Index Page"},{"id":433241,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"Colorado River, Virgin River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -113.96736437517845,\n 38.013605174379165\n ],\n [\n -113.96736437517845,\n 37.099133479396826\n ],\n [\n -111.92390734392869,\n 37.099133479396826\n ],\n [\n -111.92390734392869,\n 38.013605174379165\n ],\n [\n -113.96736437517845,\n 38.013605174379165\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.67195421892819,\n 40.639091534844084\n ],\n [\n -108.67195421892819,\n 39.01931084468799\n ],\n [\n -105.11238390642816,\n 39.01931084468799\n ],\n [\n -105.11238390642816,\n 40.639091534844084\n ],\n [\n -108.67195421892819,\n 40.639091534844084\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"640","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":911726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Humphrey, Eric 0000-0002-1174-8458","orcid":"https://orcid.org/0000-0002-1174-8458","contributorId":303273,"corporation":false,"usgs":true,"family":"Humphrey","given":"Eric","email":"","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":911727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brennwald, Matthias","contributorId":343690,"corporation":false,"usgs":false,"family":"Brennwald","given":"Matthias","email":"","affiliations":[{"id":82160,"text":"Eawag","active":true,"usgs":false}],"preferred":false,"id":911728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gardner, W. Payton 0000-0003-0664-001X","orcid":"https://orcid.org/0000-0003-0664-001X","contributorId":206198,"corporation":false,"usgs":false,"family":"Gardner","given":"W.","email":"","middleInitial":"Payton","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":911729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Palko, Kelli M. 0000-0001-8556-710X","orcid":"https://orcid.org/0000-0001-8556-710X","contributorId":343691,"corporation":false,"usgs":true,"family":"Palko","given":"Kelli","middleInitial":"M.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":911730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gooseff, Michael","contributorId":181942,"corporation":false,"usgs":false,"family":"Gooseff","given":"Michael","affiliations":[],"preferred":false,"id":911731,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Solomon, Kip 0000-0001-6370-7124","orcid":"https://orcid.org/0000-0001-6370-7124","contributorId":343692,"corporation":false,"usgs":false,"family":"Solomon","given":"Kip","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":911732,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70256573,"text":"70256573 - 2024 - Use of otolith microchemistry to determine natal origin for Silver Carp Hypophthalmichthys molitrix in the lower Mississippi River basin","interactions":[],"lastModifiedDate":"2024-08-21T23:51:15.861846","indexId":"70256573","displayToPublicDate":"2024-07-26T18:48:44","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Use of otolith microchemistry to determine natal origin for Silver Carp Hypophthalmichthys molitrix in the lower Mississippi River basin","docAbstract":"

Silver Carp (Hypophthalmichthys molitrix) populations have established and expanded throughout the lower Mississippi River basin (LMRB). Information pertaining to Silver Carp population mixing among rivers within the LMRB is lacking. Documented relations between Silver Carp otolith and river water barium (Ba) and strontium (Sr) microchemical signatures may enable estimation of origins of Silver Carp in the LMRB. Replicate water samples and otoliths from 308 Silver Carp were collected from the Cache, Arkansas, White, Yazoo, St. Francis, L’Anguille, and Mississippi rivers, and Merrisach Lake (situated along a canal connecting the lower reaches of the Arkansas and White rivers) within the LMRB. Water and carp otolith microchemical signatures exhibited consistent differences among water bodies. A classification and regression tree model exhibited 80% accuracy when assigning carp collected from the White, Arkansas, and Mississippi rivers based on fish-water microchemical signatures. Model accuracy decreased as smaller rivers were incorporated into models. Predicted natal origin based on otolith microchemical signatures suggested the White River (43%) and the lower Mississippi River (39%) were the likely origins for ~ 82% of the Silver Carp sampled. Despite the prevalence of adult Silver Carp within the Arkansas River system, fewer (18%) appeared to have originated there compared to the White and Mississippi rivers. Long-term water sampling and additional isotopic measurements may refine analyses to better determine the relative contributions of Silver Carp from the smaller river systems. Population mixing of Silver Carp among tributary rivers appears to be common within the LMRB, and removal efforts may benefit from evaluating the magnitude of fish movement and connectivity among rivers.

","language":"English","publisher":"Springer","doi":"10.1007/s10530-024-03358-7","usgsCitation":"Barshinger, C., Eggleton, M., and Spurgeon, J.J., 2024, Use of otolith microchemistry to determine natal origin for Silver Carp Hypophthalmichthys molitrix in the lower Mississippi River basin: Biological Invasions, v. 26, p. 3091-3106, https://doi.org/10.1007/s10530-024-03358-7.","productDescription":"16 p.","startPage":"3091","endPage":"3106","ipdsId":"IP-154189","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":439248,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-024-03358-7","text":"Publisher Index Page"},{"id":433043,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"lower Mississippi River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.4948221585292,\n 28.641330031026257\n ],\n [\n -87.48505653352923,\n 28.641330031026257\n ],\n [\n -87.48505653352923,\n 37.88257249549886\n ],\n [\n -92.4948221585292,\n 37.88257249549886\n ],\n [\n -92.4948221585292,\n 28.641330031026257\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2024-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Barshinger, CE","contributorId":341204,"corporation":false,"usgs":false,"family":"Barshinger","given":"CE","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":908079,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eggleton, MA","contributorId":341205,"corporation":false,"usgs":false,"family":"Eggleton","given":"MA","email":"","affiliations":[{"id":6623,"text":"University of Arkansas","active":true,"usgs":false}],"preferred":false,"id":908080,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Spurgeon, Jonathan J. 0000-0002-6888-5867","orcid":"https://orcid.org/0000-0002-6888-5867","contributorId":304259,"corporation":false,"usgs":true,"family":"Spurgeon","given":"Jonathan","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":908081,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70256201,"text":"70256201 - 2024 - Assisted migration of coho salmon: Influences of passage and habitat availability on population dynamics","interactions":[],"lastModifiedDate":"2024-12-10T14:58:03.581464","indexId":"70256201","displayToPublicDate":"2024-07-26T09:48:18","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3301,"text":"River Research and Applications","active":true,"publicationSubtype":{"id":10}},"title":"Assisted migration of coho salmon: Influences of passage and habitat availability on population dynamics","docAbstract":"

Assisted migration is a means of introducing a species into a previously unoccupied area. Although this idea is relatively new for many species, there are many extant examples involving fish that can be instructive. We studied a case of assisted migration where upstream access of migrating adult coho salmon Oncorhynchus kisutch over a naturally impassible barrier was established through construction of fish ladders. Although these passage structures have successfully allowed coho salmon to colonize upstream locations, managers had concerns regarding how efficiently these structures passed fish, as well as questions regarding access to specific upstream habitats, and passage barriers further upstream. To address these concerns, we developed a stage-based population model to explore: (1) influences of passage over structures, (2) rearing habitats upstream of the structures, and (3) consequences of additional barriers to passage in the system. Model simulations suggest high fish passage at the ladders was associated with the highest smolt and adult abundance of coho salmon. The importance of passage was strongly influenced by juveniles rearing in a lake, where increased lake rearing at each passage scenario increased abundance of smolts and adults. Opening habitat further upstream was estimated to increase adult and smolt abundance up to 12%. Results of model simulations also helped to identify uncertainties that could be evaluated further (e.g., juvenile rearing in the lake). In general, our findings point to the importance of considering a full range of processes that can drive expected outcomes for assisted migration.

","language":"English","publisher":"Wiley","doi":"10.1002/rra.4355","usgsCitation":"Benjamin, J.R., Dunham, J., Scheidt, N., Rothenbuecher, C., and Sipher, C., 2024, Assisted migration of coho salmon: Influences of passage and habitat availability on population dynamics: River Research and Applications, v. 40, no. 10, p. 2009-2021, https://doi.org/10.1002/rra.4355.","productDescription":"13 p.","startPage":"2009","endPage":"2021","ipdsId":"IP-158160","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":498297,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/rra.4355","text":"Publisher Index Page"},{"id":431563,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Lake Creek watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.29673317980877,\n 44.305114347462364\n ],\n [\n -123.71555076750579,\n 44.305114347462364\n ],\n [\n -123.71555076750579,\n 43.946813166036065\n ],\n [\n -123.29673317980877,\n 43.946813166036065\n ],\n [\n -123.29673317980877,\n 44.305114347462364\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","issue":"10","noUsgsAuthors":false,"publicationDate":"2024-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Benjamin, Joseph R. 0000-0003-3733-6838 jbenjamin@usgs.gov","orcid":"https://orcid.org/0000-0003-3733-6838","contributorId":3999,"corporation":false,"usgs":true,"family":"Benjamin","given":"Joseph","email":"jbenjamin@usgs.gov","middleInitial":"R.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":907105,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dunham, Jason 0000-0002-6268-0633","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":220078,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":907106,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Scheidt, Nicholas","contributorId":298910,"corporation":false,"usgs":false,"family":"Scheidt","given":"Nicholas","email":"","affiliations":[{"id":7217,"text":"Bureau of Land Management","active":true,"usgs":false}],"preferred":false,"id":907107,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rothenbuecher, Carla","contributorId":340405,"corporation":false,"usgs":false,"family":"Rothenbuecher","given":"Carla","email":"","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":907108,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sipher, Cory","contributorId":340406,"corporation":false,"usgs":false,"family":"Sipher","given":"Cory","email":"","affiliations":[{"id":6696,"text":"BLM","active":true,"usgs":false}],"preferred":false,"id":907109,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70257685,"text":"70257685 - 2024 - Computational approaches improve evidence synthesis and inform broad fisheries trends","interactions":[],"lastModifiedDate":"2024-08-23T14:19:04.530247","indexId":"70257685","displayToPublicDate":"2024-07-26T09:13:10","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5803,"text":"Conservation Science and Practice","active":true,"publicationSubtype":{"id":10}},"title":"Computational approaches improve evidence synthesis and inform broad fisheries trends","docAbstract":"

Addressing ecological impacts with effective conservation actions requires information on the links between human pressures and localized responses. Understanding links is a priority for many conservation contexts, including the world's fresh waters, which face intensifying threats to disproportionately high species diversity, including more than half of the world's fish species. Literature synthesis can uncover links and highlight potential research gaps, yet can be very cumbersome and time consuming. Emerging tools like text mining can improve efficiency in extracting relevant information from vast scientific outputs. This study synthesizes evidence of direct anthropogenic threats to major inland fisheries and examines driver-impact-response patterns using coupled automated and manual text classification methods. We screened 9336 abstracts from 45 river basins of high importance to inland fish production; 1152 abstracts contained evidence of direct threats to fish. The most common documented drivers were pollution, dams, and fishing pressure, which were most strongly linked to decreased fitness, altered reproduction, and mortality, respectively. Strong impact-response links to pollution signal potential bias toward documenting acute threats that generate more visible and immediate impacts. The use of machine learning-based text classification performed best in classifying extraneous information. Results can inform the development of inland fisheries indicators and threat-based metrics, highlight possible evidence gaps in linking global drivers to fishery-level responses, and illustrate the application of a coupled synthesis approach for improved efficiency and extraction of information relevant to conservation outcomes. The associated user and interpretation guides address accessibility and technical barriers faced by conservation scientists to improve efficiency in evidence synthesis.

","language":"English","publisher":"Society for Conservation Biology","doi":"10.1111/csp2.13167","usgsCitation":"Stokes, G.L., Lynch, A., Flores, J.V., Wong, J.P., Morang, C., Romulo, C., Funge-Smith, S., Valbo-Jorgensen, J., and Smidt, S.J., 2024, Computational approaches improve evidence synthesis and inform broad fisheries trends: Conservation Science and Practice, v. 6, no. 8, e13167, 17 p., https://doi.org/10.1111/csp2.13167.","productDescription":"e13167, 17 p.","ipdsId":"IP-137635","costCenters":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":439249,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/csp2.13167","text":"Publisher Index Page"},{"id":433095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","issue":"8","noUsgsAuthors":false,"publicationDate":"2024-07-26","publicationStatus":"PW","contributors":{"authors":[{"text":"Stokes, Gretchen L. 0000-0003-4202-6527","orcid":"https://orcid.org/0000-0003-4202-6527","contributorId":245640,"corporation":false,"usgs":false,"family":"Stokes","given":"Gretchen","email":"","middleInitial":"L.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":911425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":207361,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":911429,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flores, John V.","contributorId":343559,"corporation":false,"usgs":false,"family":"Flores","given":"John","email":"","middleInitial":"V.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":911426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wong, Jesse P.","contributorId":264850,"corporation":false,"usgs":false,"family":"Wong","given":"Jesse","email":"","middleInitial":"P.","affiliations":[{"id":12909,"text":"George Mason University","active":true,"usgs":false}],"preferred":false,"id":911427,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morang, Connor","contributorId":343560,"corporation":false,"usgs":false,"family":"Morang","given":"Connor","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":911428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Romulo, Chelsie 0000-0003-1612-1969","orcid":"https://orcid.org/0000-0003-1612-1969","contributorId":221032,"corporation":false,"usgs":false,"family":"Romulo","given":"Chelsie","email":"","affiliations":[],"preferred":false,"id":911430,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Funge-Smith, Simon 0000-0001-9974-5333","orcid":"https://orcid.org/0000-0001-9974-5333","contributorId":245642,"corporation":false,"usgs":false,"family":"Funge-Smith","given":"Simon","email":"","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":911431,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Valbo-Jorgensen, John 0000-0002-1992-5682","orcid":"https://orcid.org/0000-0002-1992-5682","contributorId":220485,"corporation":false,"usgs":false,"family":"Valbo-Jorgensen","given":"John","affiliations":[{"id":32888,"text":"Food and Agriculture organization of the United Nations","active":true,"usgs":false}],"preferred":false,"id":911432,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smidt, Samuel J. 0000-0001-7728-2083","orcid":"https://orcid.org/0000-0001-7728-2083","contributorId":192816,"corporation":false,"usgs":false,"family":"Smidt","given":"Samuel","email":"","middleInitial":"J.","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":911433,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70256096,"text":"fs20243031 - 2024 - The 3D Elevation Program—Supporting Michigan’s economy","interactions":[],"lastModifiedDate":"2024-07-25T14:14:30.587319","indexId":"fs20243031","displayToPublicDate":"2024-07-24T19:50:00","publicationYear":"2024","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":"2024-3031","displayTitle":"The 3D Elevation Program—Supporting Michigan’s Economy","title":"The 3D Elevation Program—Supporting Michigan’s economy","docAbstract":"High-quality elevation data are proving to be a resource of value in addressing many important economic issues in Michigan. The expanding statewide availability of current and accurate high-resolution elevation data can help support agriculture and precision farming, natural resource conservation, flood risk management, and geologic resource assessment and hazard mitigation. Water supply and quality assessment, coastal zone management, infrastructure and construction management, solar potential and other renewable energy programs, and identification of features of interest or concern such as archaeological and historical sites are other notable areas that are supported with accurate, high-resolution elevation data. 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\"}}]}","contact":"

Director, National Geospatial Program
U.S. Geological Survey
MS 511
12201 Sunrise Valley Drive
Reston, VA 20192

Email: 3DEP@usgs.gov

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