{"pageNumber":"81","pageRowStart":"2000","pageSize":"25","recordCount":68788,"records":[{"id":70256547,"text":"70256547 - 2024 - Accounting for spatiotemporal sampling variation in joint species distribution models","interactions":[],"lastModifiedDate":"2024-08-15T23:18:14.436197","indexId":"70256547","displayToPublicDate":"2023-11-28T18:14:56","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Accounting for spatiotemporal sampling variation in joint species distribution models","docAbstract":"
  1. Estimating relative abundance is critical for informing conservation and management efforts and for making inferences about the effects of environmental change on populations. Freshwater fisheries span large geographic regions, occupy diverse habitats and consist of varying species assemblages. Monitoring schemes used to sample these diverse populations often result in populations being sampled at different times and under different environmental conditions. Varying sampling conditions can bias estimates of abundance when compared across time, location and species, and properly accounting for these biases is critical for making inferences.
  2. We develop a joint species distribution model (JSDM) that accounts for varying sampling conditions due to the environment and time of sampling when estimating relative abundance. The novelty of our JSDM is that we explicitly model sampling effort as the product of known quantities based on time and gear type and an unknown functional relationship to capture seasonal variation in species life history.
  3. We use the model to study relative abundance of six freshwater fish species across the state of Minnesota, USA. Our model enables estimates of relative abundance to be compared both within and across species and lakes, and captures the inconsistent sampling present in the data. We discuss how gear type, water temperature and day of the year impact catchability for each species at the lake level and throughout a year. We compare our estimates of relative abundance to those obtained from a model that assumes constant catchability to highlight important differences within and across lakes and species.
  4. Synthesis and applications: Our method illustrates that assumptions relating indices of abundance to observed catch data can greatly impact model inferences derived from JSDMs. Specifically, not accounting for varying sampling conditions can bias inference of relative abundance, restricting our ability to detect responses to management interventions and environmental change. While our focus is on freshwater fisheries, this model architecture can be adopted to other systems where catchability may vary as a function of space, time and species.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.14547","usgsCitation":"North, J., Schliep, E., Hansen, G., Kundel, H., Custer, C., McLaughlin, P., and Wagner, T., 2024, Accounting for spatiotemporal sampling variation in joint species distribution models: Journal of Applied Ecology, v. 61, no. 1, p. 186-201, https://doi.org/10.1111/1365-2664.14547.","productDescription":"16 p.","startPage":"186","endPage":"201","ipdsId":"IP-138795","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":440999,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1365-2664.14547","text":"External Repository"},{"id":432792,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"61","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"North, Joshua S.","contributorId":341084,"corporation":false,"usgs":false,"family":"North","given":"Joshua S.","affiliations":[{"id":81700,"text":"146 Middlebush Hall, Columbia, MO, 65211","active":true,"usgs":false}],"preferred":false,"id":907921,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schliep, Erin M.","contributorId":341085,"corporation":false,"usgs":false,"family":"Schliep","given":"Erin M.","affiliations":[{"id":81700,"text":"146 Middlebush Hall, Columbia, MO, 65211","active":true,"usgs":false}],"preferred":false,"id":907922,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gretchen J.A.","contributorId":341086,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen J.A.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":907923,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kundel, Holly","contributorId":341087,"corporation":false,"usgs":false,"family":"Kundel","given":"Holly","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":907924,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Custer, Christopher A.","contributorId":341088,"corporation":false,"usgs":false,"family":"Custer","given":"Christopher A.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":907925,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McLaughlin, Paul","contributorId":341089,"corporation":false,"usgs":false,"family":"McLaughlin","given":"Paul","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":907926,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":907927,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250214,"text":"70250214 - 2024 - An assessment of HgII to preserve carbonate system parameters in organic-rich estuarine waters","interactions":[],"lastModifiedDate":"2024-02-26T16:02:32.879901","indexId":"70250214","displayToPublicDate":"2023-11-27T06:51:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2622,"text":"Limnology and Oceanography: Methods","active":true,"publicationSubtype":{"id":10}},"displayTitle":"An assessment of HgII to preserve carbonate system parameters in organic-rich estuarine waters","title":"An assessment of HgII to preserve carbonate system parameters in organic-rich estuarine waters","docAbstract":"

This work assesses the effectiveness of sample preservation techniques for measurements of pHT (total scale), total dissolved inorganic carbon (CT), and total alkalinity (AT) in organic-rich estuarine waters as well as the internal consistency of measurements and calculations (e.g., AT, pHT, and CT) in these waters. Using mercuric chloride (HgCl2)-treated and untreated water samples, measurements of these carbonate system parameters were examined over a period of 3 months. Respiration of dissolved organic matter in untreated samples created large discrepancies in CT concentrations (~37 μmol kg−1 increase, p < 0.0001), while CT was effectively constant in treated samples (3095.0 ± 1.14 μmol kg−1). AT changes were observed for both treated and untreated samples, with HgCl2-treated samples showing the greatest variation (~ 26 μmol kg−1 decrease, p < 0.001). In response to changing AT/CT ratios, pHT changes occurred in both treated and untreated samples but were relatively small in treated samples. Results in organic-rich estuarine waters that reflect the in situ carbonate system characteristics of the samples at the time of collection can be improved when samples obtained for CT and AT analysis are collected and stored separately. Accurate analyses of CT can be obtained by filtration and preservation with HgCl2. Accuracy of AT analyses can be improved by filtration and storage without adding HgCl2. The quality of pHT measurements can be improved by prompt analysis in the field and, if this cannot be accomplished, then samples can be preserved with HgCl2 and measured in the laboratory within 1 week.

","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lom3.10593","usgsCitation":"Moore, C., Byrne, R.H., and Yates, K., 2024, An assessment of HgII to preserve carbonate system parameters in organic-rich estuarine waters: Limnology and Oceanography: Methods, v. 22, no. 2, p. 93-102, https://doi.org/10.1002/lom3.10593.","productDescription":"10 p.","startPage":"93","endPage":"102","ipdsId":"IP-147099","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":441003,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lom3.10593","text":"Publisher Index Page"},{"id":435085,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J9IYFD","text":"USGS data release","linkHelpText":"CO2 System Measurements in Hillsborough River, Florida"},{"id":423038,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Christopher 0000-0003-3210-4878 csmoore@usgs.gov","orcid":"https://orcid.org/0000-0003-3210-4878","contributorId":149727,"corporation":false,"usgs":true,"family":"Moore","given":"Christopher","email":"csmoore@usgs.gov","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888942,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Byrne, Robert H.","contributorId":149366,"corporation":false,"usgs":false,"family":"Byrne","given":"Robert","email":"","middleInitial":"H.","affiliations":[{"id":17720,"text":"College of Marine Science USF","active":true,"usgs":false}],"preferred":false,"id":888943,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yates, Kimberly 0000-0001-8764-0358","orcid":"https://orcid.org/0000-0001-8764-0358","contributorId":202055,"corporation":false,"usgs":true,"family":"Yates","given":"Kimberly","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":888944,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70255155,"text":"70255155 - 2024 - Imperfect detection and misidentification affect inferences from data informing water operation decisions","interactions":[],"lastModifiedDate":"2024-06-13T17:01:29.893417","indexId":"70255155","displayToPublicDate":"2023-11-23T11:56:06","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Imperfect detection and misidentification affect inferences from data informing water operation decisions","docAbstract":"

Objective

Managers can modify river flow regimes using fish monitoring data to minimize impacts from water management infrastructure. For example, operation of the gate-controlled Delta Cross Channel (DCC) in California can negatively affect the endangered Sacramento River winter-run Chinook Salmon Oncorhynchus tshawytscha. Although guidelines have been developed for DCC operations by using real-time juvenile fish sampling count data, there is uncertainty about how environmental conditions influence fish occupancy and the extent to which those relationships are affected by sampling and identification error.

Methods

We evaluated the effect of environmental conditions, imperfect detection, and misidentification error on salmon occupancy by analyzing data using hierarchical multistate occupancy models. A total of 14,147 trawl tows and beach seine hauls were conducted on 1058 sampling days between October and December from 1996 to 2019. During these surveys, 2803 juvenile winter-run Chinook Salmon were identified, and approximately 29% of the sampling days had at least one winter-run juvenile detected.

Result

The probability of misidentifying an individual juvenile winter-run Chinook Salmon in the field was estimated to be 0.056 based on fish identification examinations and genetic sampling. Occupancy varied considerably and was related to flow characteristics, water clarity, weather, time of year, and whether occupancy was detected during the previous sampling day. However, these relationships and their significance changed considerably when accounting for imperfect detection and the probability of misidentifying individual juvenile salmon. Detection was <0.3 under average sampling conditions during a single sample and was influenced by flow, water clarity, site, and volume sampled.

Conclusion

Our modeling results indicate that DCC gate closure decisions could occur on fewer days when imperfect detection and misidentification error are not accounted for. These findings demonstrate the need to account for identification and detection error while using monitoring data to assess factors influencing fish occupancy and inform future management decisions.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10974","usgsCitation":"Kirsch, J., Peterson, J., Duarte, A., Goodman, D., Goodman, A., Hugentobler, S., Meek, M., Perry, R., Smith, L., and Stuart, J., 2024, Imperfect detection and misidentification affect inferences from data informing water operation decisions: North American Journal of Fisheries Management, v. 44, no. 2, p. 335-358, https://doi.org/10.1002/nafm.10974.","productDescription":"24 p.","startPage":"335","endPage":"358","ipdsId":"IP-146813","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":441005,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10974","text":"Publisher Index Page"},{"id":430148,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"44","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Kirsch, Joseph E.","contributorId":338806,"corporation":false,"usgs":false,"family":"Kirsch","given":"Joseph E.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903618,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterson, James T. 0000-0002-7709-8590 james_peterson@usgs.gov","orcid":"https://orcid.org/0000-0002-7709-8590","contributorId":2111,"corporation":false,"usgs":true,"family":"Peterson","given":"James","email":"james_peterson@usgs.gov","middleInitial":"T.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903619,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Duarte, Adam","contributorId":28492,"corporation":false,"usgs":false,"family":"Duarte","given":"Adam","affiliations":[{"id":6960,"text":"Department of Biology, Texas State University","active":true,"usgs":false}],"preferred":false,"id":903620,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Goodman, Denise","contributorId":339306,"corporation":false,"usgs":false,"family":"Goodman","given":"Denise","email":"","affiliations":[],"preferred":false,"id":904033,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goodman, Andrew","contributorId":338810,"corporation":false,"usgs":false,"family":"Goodman","given":"Andrew","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903621,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hugentobler, Sara","contributorId":338812,"corporation":false,"usgs":false,"family":"Hugentobler","given":"Sara","email":"","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":903622,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Meek, Mariah","contributorId":260835,"corporation":false,"usgs":false,"family":"Meek","given":"Mariah","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":903623,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Perry, Russell W. 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220177,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":903624,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Smith, Lori","contributorId":338817,"corporation":false,"usgs":false,"family":"Smith","given":"Lori","email":"","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":903625,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Stuart, Jeffrey","contributorId":338821,"corporation":false,"usgs":false,"family":"Stuart","given":"Jeffrey","email":"","affiliations":[{"id":36803,"text":"NOAA","active":true,"usgs":false}],"preferred":false,"id":903626,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70252117,"text":"70252117 - 2024 - Arizona Groundwater Explorer: Interactive maps for evaluating the historical and current groundwater conditions in wells in Arizona, USA","interactions":[],"lastModifiedDate":"2024-03-15T14:33:00.87352","indexId":"70252117","displayToPublicDate":"2023-11-22T09:30:34","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Arizona Groundwater Explorer: Interactive maps for evaluating the historical and current groundwater conditions in wells in Arizona, USA","docAbstract":"

Groundwater is an important water source in Arizona, accounting for about 41% of water use in this mostly arid-to-semiarid state in the southwestern United States, and the availability of groundwater resources in the state is a concern. To provide accessible information from depth-to-groundwater data, a series of web-based interactive maps were developed, called the Arizona Groundwater Explorer (AGEx). Scripts were written to harmonize and synthesize groundwater datasets from the two largest publicly available sources, subset these data to address different groundwater availability questions, and display the results in online, interactive maps. The combined dataset contained 1,820,122 depth-to-groundwater measurements from 1891 through 2022 from 41,918 wells in Arizona. Data views are provided for 20 topics, including recent (2020 or later) depth to groundwater (4,569 wells), historical (pre-1950) depth to groundwater (4,287 wells), wells with long-term (≥50 years) records (1,183 wells), wells with recent groundwater level decline (277 wells), wells with recent groundwater level rise (120 wells), and linear trends in groundwater levels over ten 10-year periods (number of wells ranging from 341 in 1978–1987 to 1,208 in 2003–2012), among others. With ongoing drought in the region resulting in declining surface-water supplies in Arizona, groundwater may play an even larger role in satisfying water needs in the state. The AGEx series of maps provides a nonspecialist audience with an improved understanding of historical, current, and changes in groundwater levels in Arizona.

","language":"English","publisher":"Springer","doi":"10.1007/s10040-023-02748-w","usgsCitation":"Tillman, F.D., and Flynn, M.E., 2024, Arizona Groundwater Explorer: Interactive maps for evaluating the historical and current groundwater conditions in wells in Arizona, USA: Hydrogeology Journal, v. 32, p. 645-661, https://doi.org/10.1007/s10040-023-02748-w.","productDescription":"17 p.","startPage":"645","endPage":"661","ipdsId":"IP-151669","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":441014,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-023-02748-w","text":"Publisher Index Page"},{"id":426664,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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\"}}]}","volume":"32","noUsgsAuthors":false,"publicationDate":"2023-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Tillman, Fred D. 0000-0002-2922-402X ftillman@usgs.gov","orcid":"https://orcid.org/0000-0002-2922-402X","contributorId":147809,"corporation":false,"usgs":true,"family":"Tillman","given":"Fred","email":"ftillman@usgs.gov","middleInitial":"D.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896671,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flynn, Marilyn E. 0009-0009-5192-4389 meflynn@usgs.gov","orcid":"https://orcid.org/0009-0009-5192-4389","contributorId":305562,"corporation":false,"usgs":true,"family":"Flynn","given":"Marilyn","email":"meflynn@usgs.gov","middleInitial":"E.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":896672,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70254923,"text":"70254923 - 2024 - Coyotes in the Great Basin desert do not exhibit a spatial response following the removal of anthropogenic water sources","interactions":[],"lastModifiedDate":"2024-06-12T00:42:45.86269","indexId":"70254923","displayToPublicDate":"2023-11-19T19:41:07","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2183,"text":"Journal of Arid Environments","active":true,"publicationSubtype":{"id":10}},"title":"Coyotes in the Great Basin desert do not exhibit a spatial response following the removal of anthropogenic water sources","docAbstract":"

Coyote (Canis latrans) range expansion into desert ecosystems has highlighted the role of anthropogenic water sources in arid ecosystems. Despite hypotheses that additional water facilitated this expansion, previous studies reported that coyotes did not exhibit a spatial or dietary response to removal of anthropogenic water. We used GPS data to examine if coyotes responded to water removal at a finer spatial scale than previously investigated. Our integrated step selection analysis did not find evidence that coyotes adjusted their distance to water following water removal. Vegetation was an important factor in habitat selection of coyotes, with riparian and agricultural areas being the most selected among vegetation types. Coyotes selected for locations where hunting and trapping was prohibited. Possibly the cause of increased coyote abundance in our study area was not due to the introduction of anthropogenic water sources but rather due to the cessation of regional lethal predator control programs. These two management decisions both occurred in the 1970s, therefore, their influences on the subsequent increase of coyote abundance may have been conflated. Our results, in combination with previous studies, provide evidence that coyotes are desert-adapted carnivores that do not rely on anthropogenic water sources.


","language":"English","publisher":"Elsevier","doi":"10.1016/j.jaridenv.2023.105097","usgsCitation":"Pershyn, N., Gese, E., Stuber, E.F., and Kluever, B., 2024, Coyotes in the Great Basin desert do not exhibit a spatial response following the removal of anthropogenic water sources: Journal of Arid Environments, v. 220, 105097, https://doi.org/10.1016/j.jaridenv.2023.105097.","productDescription":"105097","ipdsId":"IP-155856","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jaridenv.2023.105097","text":"Publisher Index Page"},{"id":429939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"220","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pershyn, Nadine","contributorId":338001,"corporation":false,"usgs":false,"family":"Pershyn","given":"Nadine","email":"","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":902893,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gese, Eric","contributorId":338002,"corporation":false,"usgs":false,"family":"Gese","given":"Eric","affiliations":[{"id":81067,"text":"USDS","active":true,"usgs":false}],"preferred":false,"id":902894,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stuber, Erica Francis 0000-0002-2687-6874","orcid":"https://orcid.org/0000-0002-2687-6874","contributorId":298084,"corporation":false,"usgs":true,"family":"Stuber","given":"Erica","email":"","middleInitial":"Francis","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":902895,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kluever, Brian","contributorId":338003,"corporation":false,"usgs":false,"family":"Kluever","given":"Brian","email":"","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":902896,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250385,"text":"70250385 - 2024 - Toxicity of wildland fire retardants to rainbow trout in short exposures","interactions":[],"lastModifiedDate":"2024-01-25T14:34:47.068171","indexId":"70250385","displayToPublicDate":"2023-11-17T07:17:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of wildland fire retardants to rainbow trout in short exposures","docAbstract":"

Long-term wildland fire retardants are one important tool used to control and suppress wildfires. During suppression activities, these retardants may enter waterbodies; thus, there is a need to understand their potential effects to aquatic biota. We investigated the effect of three current-use wildland fire retardants to juvenile rainbow trout (Oncorhynchus mykiss) survival in short exposures more realistic to actual intrusion scenarios. Lethal effect concentrations decreased with time and varied among chemicals (LC95A-R > 259-Fx > MVP-Fx). The lowest effect concentrations observed were 2 to 10 times above the threshold used by federal agencies to assess potential impacts to aquatic organisms following a retardant intrusion. These data can be used by resource managers to balance wildfire control with potential environmental impacts of retardant use.

","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.5791","usgsCitation":"Puglis, H.J., and Iacchetta, M.G., 2024, Toxicity of wildland fire retardants to rainbow trout in short exposures: Environmental Toxicology and Chemistry, v. 43, no. 2, p. 398-404, https://doi.org/10.1002/etc.5791.","productDescription":"7 p.","startPage":"398","endPage":"404","ipdsId":"IP-154881","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":441028,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/etc.5791","text":"Publisher Index Page"},{"id":435088,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RVM9AL","text":"USGS data release","linkHelpText":"Biological and chemical data from laboratory toxicity exposures of wildland fire retardants to Rainbow Trout"},{"id":423265,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Puglis, Holly J. 0000-0002-3090-6597 hpuglis@usgs.gov","orcid":"https://orcid.org/0000-0002-3090-6597","contributorId":4686,"corporation":false,"usgs":true,"family":"Puglis","given":"Holly","email":"hpuglis@usgs.gov","middleInitial":"J.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":889649,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iacchetta, Michael G. 0000-0001-9459-1435","orcid":"https://orcid.org/0000-0001-9459-1435","contributorId":291394,"corporation":false,"usgs":true,"family":"Iacchetta","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":889650,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70250130,"text":"70250130 - 2024 - Survival implications of diversion entrainment for outmigrating juvenile Chinook Salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss)","interactions":[],"lastModifiedDate":"2024-03-26T14:28:31.586434","indexId":"70250130","displayToPublicDate":"2023-11-16T10:27:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Survival implications of diversion entrainment for outmigrating juvenile Chinook Salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss)","title":"Survival implications of diversion entrainment for outmigrating juvenile Chinook Salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss)","docAbstract":"

Efforts to ameliorate negative effects of diversion dams on aquatic species of concern are important in rivers where water withdrawal supports agricultural economies and are likely to become increasingly important with impending climate change. A multiyear study was conducted to evaluate the survival consequences of diversion dam passage for juvenile Chinook Salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss) in the highly managed Yakima River, Washington. Canal entrainment and passage were evaluated at four diversion dams encountered by seaward migrating juvenile salmon and steelhead. Fish pass dams via spillbays or enter canals with downstream fish-screening facilities designed to collect entrained fish and return them to the mainstem river. Percent entrainment into canals was substantial (6–59%) at three of the four diversion dams studied, and entrainment probability was positively associated with the proportion of streamflow diverted into canals. Survival probability estimates for groups of tagged fish that were entrained into canals were lower than survival probability estimates for tagged fish that passed through spillbays on the dams. Absolute differences in survival probabilities between routes ranged from 0.099 to 0.369, demonstrating that canal entrainment reduced survival of outmigrating juvenile Chinook Salmon and steelhead. We also found that entrainment resulted in migration delays, which could further affect survival because fish are increasingly exposed to predation and decreased water quality as water temperature increases throughout the migration season. These results highlight the need to limit entrainment of juvenile salmon and steelhead at diversion dams in rivers where salmon recovery is important.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10456","usgsCitation":"Kock, T.J., Evans, S., Perry, R., Monk, P.A., Porter, M.S., Hansen, A.C., and Pope, A., 2024, Survival implications of diversion entrainment for outmigrating juvenile Chinook Salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss): Transactions of the American Fisheries Society, v. 153, no. 2, p. 200-215, https://doi.org/10.1002/tafs.10456.","productDescription":"16 p.","startPage":"200","endPage":"215","ipdsId":"IP-155378","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":441041,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10456","text":"Publisher Index Page"},{"id":422841,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"lower Yakima River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -119,\n 46\n ],\n [\n -119,\n 47\n ],\n [\n -120.55,\n 47\n ],\n [\n -120.55,\n 46\n ],\n [\n -119,\n 46\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"153","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":214550,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":888511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Evans, Scott D. 0000-0003-0452-7726","orcid":"https://orcid.org/0000-0003-0452-7726","contributorId":220390,"corporation":false,"usgs":true,"family":"Evans","given":"Scott D.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":888512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Perry, Russell 0000-0003-4110-8619","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":220189,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":888513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Monk, Patrick A.","contributorId":331703,"corporation":false,"usgs":false,"family":"Monk","given":"Patrick","email":"","middleInitial":"A.","affiliations":[{"id":79270,"text":"Bureau of Reclamation, 1917 Marsh Road, Yakima, Washington 98901, USA","active":true,"usgs":false}],"preferred":false,"id":888514,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Porter, Michael S.","contributorId":215700,"corporation":false,"usgs":false,"family":"Porter","given":"Michael","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":888515,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hansen, Amy C. 0000-0002-0298-9137","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":223220,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":888516,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pope, Adam C. 0000-0002-7253-2247","orcid":"https://orcid.org/0000-0002-7253-2247","contributorId":223237,"corporation":false,"usgs":true,"family":"Pope","given":"Adam","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":888517,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250413,"text":"70250413 - 2024 - Springing forward: Migrating songbirds catch up with the start of spring in North America","interactions":[],"lastModifiedDate":"2024-03-11T14:26:37.28266","indexId":"70250413","displayToPublicDate":"2023-11-16T06:48:11","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2158,"text":"Journal of Animal Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Springing forward: Migrating songbirds catch up with the start of spring in North America","docAbstract":"
  1. In temperate regions, the annual pattern of spring onset can be envisioned as a ‘green wave’ of emerging vegetation that moves across continents from low to high latitudes, signifying increasing food availability for consumers.
  2. Many herbivorous migrants ‘surf’ such resource waves, timing their movements to exploit peak vegetation resources in early spring. Although less well studied at the individual level, secondary consumers such as insectivorous songbirds can track vegetation phenology during migration as well.
  3. We hypothesized that four species of ground-foraging songbirds in eastern North America—two warblers and two thrushes—time their spring migrations to coincide with later phases of vegetation phenology, corresponding to increased arthropod prey, and predicted they would match their migration rate to the green wave but trail behind it rather than surfing its leading edge.
  4. We further hypothesized that the rate at which spring onset progresses across the continent influences bird migration rates, such that individuals adjust migration timing within North America to phenological conditions they experience en route.
  5. To test our hypotheses, we used a continent-wide automated radio telemetry network to track individual songbirds on spring migration between the U.S. Gulf Coast region and northern locations closer to their breeding grounds.
  6. We measured vegetation phenology using two metrics of spring onset, the spring index first leaf date and the normalized difference vegetation index (NDVI), then calculated the rate and timing of spring onset relative to bird detections.
  7. All individuals arrived in the southeastern United States well after local spring onset. Counter to our expectations, we found that songbirds exhibited a ‘catching up’ pattern: Individuals migrated faster than the green wave of spring onset, effectively closing in on the start of spring as they approached breeding areas.
  8. While surfing of resource waves is a well-documented migration strategy for herbivorous waterfowl and ungulates, individual songbirds in our study migrated faster than the green wave and increasingly caught up to its leading edge en route.
  9. Consequently, songbirds experience a range of vegetation phenophases while migrating through North America, suggesting flexibility in their capacity to exploit variable resources in spring.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2656.14025","usgsCitation":"Nemes, C.E., Marra, P.P., Zenzal, T.J., Collins, S.A., Dossman, B.C., Gerson, A.R., Gomez, C., Gonzalez, A.M., Gutierrez Ramirez, M., Hamer, S.A., Marty, J., Vasseur, P.L., and Cohen, E.B., 2024, Springing forward: Migrating songbirds catch up with the start of spring in North America: Journal of Animal Ecology, v. 93, no. 3, p. 294-306, https://doi.org/10.1111/1365-2656.14025.","productDescription":"13 p.","startPage":"294","endPage":"306","ipdsId":"IP-147965","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":441048,"rank":2,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1365-2656.14025","text":"External Repository"},{"id":423323,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.636441311807,\n 6.774626408442572\n ],\n [\n -71.60519131180699,\n 19.08375056699103\n ],\n [\n -41.72237881180726,\n 43.66058716276788\n ],\n [\n -48.05050381180715,\n 54.0212180258645\n ],\n [\n -64.92550381180732,\n 62.482300927322854\n ],\n [\n -86.72237881180699,\n 70.05840446282181\n ],\n [\n -117.30831631180689,\n 70.99580421944236\n ],\n [\n -137.6989413118068,\n 71.6708623909181\n ],\n [\n -154.92550381180627,\n 71.6708623909181\n ],\n [\n -165.47237881180655,\n 70.1779638747866\n ],\n [\n -168.6364413118065,\n 66.13422493163748\n ],\n [\n -167.23019131180618,\n 60.64132574034653\n ],\n [\n -165.82394131180638,\n 56.03573785160637\n ],\n [\n -157.38644131180655,\n 52.97566010083784\n ],\n [\n -142.62081631180635,\n 54.43224599896931\n ],\n [\n -129.9645663118066,\n 41.32801461314125\n ],\n [\n -113.08956631180698,\n 16.40534971144693\n ],\n [\n -94.808316311807,\n 5.72622344312137\n ],\n [\n -85.31612881180669,\n 4.675893333320644\n ],\n [\n -78.636441311807,\n 6.774626408442572\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"93","issue":"3","noUsgsAuthors":false,"publicationDate":"2023-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Nemes, Claire E.","contributorId":332267,"corporation":false,"usgs":false,"family":"Nemes","given":"Claire","email":"","middleInitial":"E.","affiliations":[{"id":37215,"text":"University of Maryland Center for Environmental Science","active":true,"usgs":false}],"preferred":false,"id":889828,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Marra, Peter P.","contributorId":190140,"corporation":false,"usgs":false,"family":"Marra","given":"Peter","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":889829,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zenzal, Theodore J. Jr. 0000-0001-7342-1373","orcid":"https://orcid.org/0000-0001-7342-1373","contributorId":224399,"corporation":false,"usgs":true,"family":"Zenzal","given":"Theodore","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":889830,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Collins, Samantha A.","contributorId":176233,"corporation":false,"usgs":false,"family":"Collins","given":"Samantha","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":889831,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dossman, Bryant C.","contributorId":332268,"corporation":false,"usgs":false,"family":"Dossman","given":"Bryant","email":"","middleInitial":"C.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":889832,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gerson, Alexander R.","contributorId":290397,"corporation":false,"usgs":false,"family":"Gerson","given":"Alexander","email":"","middleInitial":"R.","affiliations":[{"id":37201,"text":"UMass Amherst","active":true,"usgs":false}],"preferred":false,"id":889833,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gomez, Camila","contributorId":332269,"corporation":false,"usgs":false,"family":"Gomez","given":"Camila","email":"","affiliations":[{"id":79439,"text":"SELVA: Investigación para la Conservación en el Neotrópico","active":true,"usgs":false}],"preferred":false,"id":889834,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gonzalez, Ana M.","contributorId":332270,"corporation":false,"usgs":false,"family":"Gonzalez","given":"Ana","email":"","middleInitial":"M.","affiliations":[{"id":13248,"text":"University of Saskatchewan","active":true,"usgs":false}],"preferred":false,"id":889835,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gutierrez Ramirez, Mariamar","contributorId":332271,"corporation":false,"usgs":false,"family":"Gutierrez Ramirez","given":"Mariamar","email":"","affiliations":[{"id":36396,"text":"University of Massachusetts","active":true,"usgs":false}],"preferred":false,"id":889836,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hamer, Sarah A.","contributorId":148033,"corporation":false,"usgs":false,"family":"Hamer","given":"Sarah","email":"","middleInitial":"A.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":889837,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Marty, Joseph","contributorId":332272,"corporation":false,"usgs":false,"family":"Marty","given":"Joseph","affiliations":[{"id":12717,"text":"Louisiana Department of Wildlife and Fisheries","active":true,"usgs":false}],"preferred":false,"id":889838,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Vasseur, Phillip L.","contributorId":204493,"corporation":false,"usgs":false,"family":"Vasseur","given":"Phillip","email":"","middleInitial":"L.","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":889839,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cohen, Emily B.","contributorId":57774,"corporation":false,"usgs":false,"family":"Cohen","given":"Emily","email":"","middleInitial":"B.","affiliations":[{"id":7035,"text":"Smithsonian Conservation Biology Institute, National Zoological Park","active":true,"usgs":false}],"preferred":false,"id":889840,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70250015,"text":"70250015 - 2024 - Determination and prediction of micro scale rare earth element geochemical associations in mine drainage treatment wastes","interactions":[],"lastModifiedDate":"2023-11-14T12:44:02.369109","indexId":"70250015","displayToPublicDate":"2023-11-14T06:31:17","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Determination and prediction of micro scale rare earth element geochemical associations in mine drainage treatment wastes","docAbstract":"

Acid mine drainage (AMD) has been proposed as a novel source of rare earth elements (REE), a group of elements that includes critical metals for clean energy and modern technologies. REE are sequestered in the Fe–Al–Mn-rich precipitates produced during the treatment of AMD. These AMD solids are typically managed as waste but could be a REE source. Here, results from AMD solids characterization and geochemical modeling are presented to determine the minerals/solid phases that are enriched in REE and identify the mechanism(s) of REE attenuation.

AMD solids collected from limestone-based AMD treatment systems were subjected to sequential extraction and synchrotron microprobe analyses to characterize the binding nature of the REE. The results of these analyses indicated REEs were mainly associated with Al or Mn phases. Only selected REE (Gd, Dy) were associated with Fe phases, which were less abundant than Al and Mn phases in analyzed samples. The sequential extractions demonstrated that acidic and/or reducing extractions effectively mobilize REE from the AMD solids evaluated. The observed element associations in solids are consistent with geochemical model results that indicate dissolved REE can be effectively attenuated by adsorption on freshly precipitated Fe, Al, and Mn oxides/hydroxides. The model, which simulates dissolution of CaCO3 and the precipitation of Fe, Al, and Mn oxides with increased pH, accurately predicts the pH dependent accumulation of dissolved REE with Al, Mn, and Fe oxides/hydroxides in the studied AMD treatment systems.

The methods and results presented here can be used to identify conditions favorable for accumulation of REE-enriched AMD solids and possible passive or active treatment(s) to extract REE from AMD. This information can be used to design AMD treatment systems for the recovery of REE and is an opportunity to transform the challenges of addressing polluted mine drainage into an environmental and economic asset.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2023.140475","usgsCitation":"Hedin, B.C., Stuckman, M.Y., Cravotta, C., Lopano, C.L., and Capo, R.C., 2024, Determination and prediction of micro scale rare earth element geochemical associations in mine drainage treatment wastes: Chemosphere, v. 346, 140475, 11 p., https://doi.org/10.1016/j.chemosphere.2023.140475.","productDescription":"140475, 11 p.","ipdsId":"IP-137193","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":489750,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemosphere.2023.140475","text":"Publisher Index Page"},{"id":422569,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Pennsylvania","otherGeospatial":"Nittany Mine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.6915588455888,\n 40.889264939825125\n ],\n [\n -77.74043119099201,\n 40.86094174296804\n ],\n [\n -77.76765728174179,\n 40.8412333674774\n ],\n [\n -77.806008011722,\n 40.8139863010457\n ],\n [\n -77.81186308500129,\n 40.80423666433518\n ],\n [\n -77.7945906188272,\n 40.797588363458004\n ],\n [\n -77.72608626145784,\n 40.827278951555826\n ],\n [\n -77.6259835482281,\n 40.88501500745158\n ],\n [\n -77.61175523964981,\n 40.91694573774306\n ],\n [\n -77.56568336000083,\n 40.94503305030968\n ],\n [\n -77.53959683505036,\n 40.95713104925308\n ],\n [\n -77.52375526404049,\n 40.97219126469736\n ],\n [\n -77.47335590562307,\n 40.99651435095521\n ],\n [\n -77.41329248330241,\n 41.02274875679197\n ],\n [\n -77.38564576674825,\n 41.03286503303716\n ],\n [\n -77.3523714117554,\n 41.03731590539665\n ],\n [\n -77.32765895019021,\n 41.050390091453885\n ],\n [\n -77.33988744578423,\n 41.06244026346151\n ],\n [\n -77.35333489791346,\n 41.07826568733469\n ],\n [\n -77.39674411075902,\n 41.07338314150051\n ],\n [\n -77.44282724193602,\n 41.04780222383839\n ],\n [\n -77.50746965664622,\n 41.00984589551416\n ],\n [\n -77.58390869858836,\n 40.96541159571884\n ],\n [\n -77.64100379266768,\n 40.93550538517805\n ],\n [\n -77.66161289883395,\n 40.91141991096799\n ],\n [\n -77.6915588455888,\n 40.889264939825125\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"346","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hedin, Benjamin C.","contributorId":331535,"corporation":false,"usgs":false,"family":"Hedin","given":"Benjamin","email":"","middleInitial":"C.","affiliations":[{"id":79234,"text":"Hedin Environmental, Inc., 195 Castle Shannon Blvd., Pittsburgh, PA 15228","active":true,"usgs":false}],"preferred":false,"id":887995,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stuckman, Mengling Y.","contributorId":331536,"corporation":false,"usgs":false,"family":"Stuckman","given":"Mengling","email":"","middleInitial":"Y.","affiliations":[{"id":79236,"text":"National Energy Technology Laboratory, US Department of Energy, 626 Cochrans Mill Road, Pittsburgh, PA 15236","active":true,"usgs":false}],"preferred":false,"id":887996,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":258816,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles A.","suffix":"III","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":887997,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lopano, Christina L.","contributorId":331537,"corporation":false,"usgs":false,"family":"Lopano","given":"Christina","email":"","middleInitial":"L.","affiliations":[{"id":79236,"text":"National Energy Technology Laboratory, US Department of Energy, 626 Cochrans Mill Road, Pittsburgh, PA 15236","active":true,"usgs":false}],"preferred":false,"id":887998,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Capo, Rosemary C.","contributorId":331538,"corporation":false,"usgs":false,"family":"Capo","given":"Rosemary","email":"","middleInitial":"C.","affiliations":[{"id":79237,"text":"Department of Geology and Environmental Science, University of Pittsburgh, Pittsburgh, PA, 15260","active":true,"usgs":false}],"preferred":false,"id":887999,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250108,"text":"70250108 - 2024 - A comparison of stable isotopes and polychlorinated biphenyls 1 among genetic strains of Lake Ontario lake trout (Salvelinus namaycush)","interactions":[],"lastModifiedDate":"2024-02-07T17:11:32.170321","indexId":"70250108","displayToPublicDate":"2023-11-11T08:58:28","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A comparison of stable isotopes and polychlorinated biphenyls 1 among genetic strains of Lake Ontario lake trout (Salvelinus namaycush)","title":"A comparison of stable isotopes and polychlorinated biphenyls 1 among genetic strains of Lake Ontario lake trout (Salvelinus namaycush)","docAbstract":"

This study quantified stable carbon (δ13C) and nitrogen (δ15N) isotopes, polychlorinated biphenyl (PCB) concentrations and growth rates among multiple genetic strains of Lake Ontario lake trout (Salvelinus namaycush) to evaluate the potential role of genetics in these parameters. Fish ranging in age from 1 to 31 years (n = 72) and representing nine genetic strains including wild-recruits to hatchery fish derived from Lakes Ontario, Superior and Champlain watersheds, and individuals of unknown hatchery origin. Carbon (δ13C) and nitrogen (δ15N) stable isotope values averaged −22.2 ‰ and 17.4 ‰, respectively, but did not differ significantly among genetic strains. ΣPCB concentrations ranged from 42 to 1820 ng/g and varied significantly among individuals including those of similar age and genetic strain. For example, Sum PCB (ΣPCB) concentrations among 7-year-old fish (n = 16) ranged from 159 to 607 ng/g, which compares to growth rates of 3.5 – 32.9 %/yr for these same fish. Multivariate analysis of stable isotope and PCB profiles, however, provided considerable resolution among the strains. For example, fish of unknown hatchery origin ordinated most similar to Seneca Lake fish, the predominant strain stocked in Lake Ontario. Wild fish had a unique ordination with only Lake Superior Klondike strain fish overlapping into their ordination space. Lakes Champlain and Superior strain individuals had similar ordinations but did not overlap substantially with wild or Klondike strain fish. Combined, these differences agree with the ecologies described for these strains in their native ecosystems suggesting that insight can be gained from strain specific evaluations of ecological tracers and these pollutants among Great Lakes lake trout.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2023.102252","usgsCitation":"Saavedra, N.E., Razavi, N.R., Stewart, D.J., Lantry, B.F., and Paterson, G., 2024, A comparison of stable isotopes and polychlorinated biphenyls 1 among genetic strains of Lake Ontario lake trout (Salvelinus namaycush): Journal of Great Lakes Research, v. 50, no. 1, 102252, 10 p., https://doi.org/10.1016/j.jglr.2023.102252.","productDescription":"102252, 10 p.","ipdsId":"IP-156640","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":422724,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.57910303634092,\n 43.6042153418901\n ],\n [\n -78.57910303634092,\n 43.232649116660866\n ],\n [\n -76.76283308220034,\n 43.232649116660866\n ],\n [\n -76.76283308220034,\n 43.6042153418901\n ],\n [\n -78.57910303634092,\n 43.6042153418901\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"50","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Saavedra, Nicole E.","contributorId":331657,"corporation":false,"usgs":false,"family":"Saavedra","given":"Nicole","email":"","middleInitial":"E.","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":888384,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Razavi, N. Roxanna 0000-0003-4077-496X","orcid":"https://orcid.org/0000-0003-4077-496X","contributorId":224997,"corporation":false,"usgs":false,"family":"Razavi","given":"N.","email":"","middleInitial":"Roxanna","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":888385,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stewart, Donald J. 0000-0002-1138-4834","orcid":"https://orcid.org/0000-0002-1138-4834","contributorId":216561,"corporation":false,"usgs":false,"family":"Stewart","given":"Donald","email":"","middleInitial":"J.","affiliations":[{"id":12623,"text":"State University of New York College of Environmental Science and Forestry","active":true,"usgs":false}],"preferred":false,"id":888386,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lantry, Brian F. 0000-0001-8797-3910 bflantry@usgs.gov","orcid":"https://orcid.org/0000-0001-8797-3910","contributorId":3435,"corporation":false,"usgs":true,"family":"Lantry","given":"Brian","email":"bflantry@usgs.gov","middleInitial":"F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":888387,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Paterson, Gordon","contributorId":12755,"corporation":false,"usgs":true,"family":"Paterson","given":"Gordon","email":"","affiliations":[],"preferred":false,"id":888388,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250046,"text":"70250046 - 2024 - Molecular detection and characterization of highly pathogenic H5N1 clade 2.3.4.4b avian influenza viruses among hunter-harvested wild birds provides evidence for three independent introductions into Alaska","interactions":[],"lastModifiedDate":"2023-11-20T17:48:55.528987","indexId":"70250046","displayToPublicDate":"2023-11-10T07:00:03","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3696,"text":"Virology","active":true,"publicationSubtype":{"id":10}},"title":"Molecular detection and characterization of highly pathogenic H5N1 clade 2.3.4.4b avian influenza viruses among hunter-harvested wild birds provides evidence for three independent introductions into Alaska","docAbstract":"

We detected and characterized highly pathogenic avian influenza viruses among hunter-harvested wild waterfowl inhabiting western Alaska during September–October 2022 using a molecular sequencing pipeline applied to RNA extracts derived directly from original swab samples. Genomic characterization of 10 H5 clade 2.3.4.4b avian influenza viruses detected with high confidence provided evidence for three independent viral introductions into Alaska. Our results highlight the utility and some potential limits of applying molecular processing approaches directly to RNA extracts from original swab samples for viral research and monitoring.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.virol.2023.109938","usgsCitation":"Ramey, A.M., Scott, L.C., Ahlstrom, C., Buck, E.J., Williams, A., Kim Torchetti, M., Stallknecht, D., and Poulson, R., 2024, Molecular detection and characterization of highly pathogenic H5N1 clade 2.3.4.4b avian influenza viruses among hunter-harvested wild birds provides evidence for three independent introductions into Alaska: Virology, v. 589, 109938, 6 p., https://doi.org/10.1016/j.virol.2023.109938.","productDescription":"109938, 6 p.","ipdsId":"IP-156095","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":65299,"text":"Alaska Science Center Ecosystems","active":true,"usgs":true}],"links":[{"id":441058,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.virol.2023.109938","text":"Publisher Index Page"},{"id":435090,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LPH8ZQ","text":"USGS data release","linkHelpText":"Molecular Detection and Characterization of Highly Pathogenic H5N1 Avian Influenza Viruses in Wild Birds Inhabiting Western Alaska Provides Evidence for Three Independent Viral Introductions"},{"id":422617,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alasak","otherGeospatial":"Izembek National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -162.2874622081526,\n 55.57375391298103\n ],\n [\n -162.82875470379128,\n 55.42041573086158\n ],\n [\n -163.17062364840513,\n 55.150045245809764\n ],\n [\n -162.69105748998848,\n 55.07397017743125\n ],\n [\n -162.15451317413613,\n 55.21510271689792\n ],\n [\n -162.2874622081526,\n 55.57375391298103\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"589","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ramey, Andrew M. 0000-0002-3601-8400 aramey@usgs.gov","orcid":"https://orcid.org/0000-0002-3601-8400","contributorId":1872,"corporation":false,"usgs":true,"family":"Ramey","given":"Andrew","email":"aramey@usgs.gov","middleInitial":"M.","affiliations":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":888132,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scott, Laura Celeste 0000-0003-0303-5340","orcid":"https://orcid.org/0000-0003-0303-5340","contributorId":306143,"corporation":false,"usgs":true,"family":"Scott","given":"Laura","email":"","middleInitial":"Celeste","affiliations":[{"id":117,"text":"Alaska Science Center Biology 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Georgia","active":true,"usgs":false}],"preferred":false,"id":888138,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poulson, Rebecca L.","contributorId":198807,"corporation":false,"usgs":false,"family":"Poulson","given":"Rebecca L.","affiliations":[{"id":7125,"text":"Southeastern Cooperative Wildlife Disease Study, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA.","active":true,"usgs":false}],"preferred":false,"id":888139,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70250204,"text":"70250204 - 2024 - Assessing the added value of antecedent streamflow alteration information in modeling stream biological condition","interactions":[],"lastModifiedDate":"2023-11-28T12:58:51.767248","indexId":"70250204","displayToPublicDate":"2023-11-09T06:55:00","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the added value of antecedent streamflow alteration information in modeling stream biological condition","docAbstract":"

In stream systems, disentangling relationships between biology and flow and subsequent prediction of these relationships to unsampled streams is a common objective of large-scale ecological modeling. Often, streamflow metrics are derived from aggregating continuous streamflow records available at a subset of stream gages into long-term flow regime descriptors. Despite demonstrated value, shortcomings of these long-term approaches include spatial restriction to locations with long-term continuous flow records (commonly, biased toward larger systems) and omission of potentially ecologically important short-term (i.e., ≤1 year) antecedent streamflow information. We used long-term flow regime and short-term antecedent streamflow alteration information to evaluate relative performance in modeling stream fish biological condition. We compared results to understand whether short-term antecedent streamflow information improved models of fish biological condition. Results indicated that models incorporating short-term antecedent data performed better than those relying solely on long-term flow regime data (kappa statistic = 0.29 and 0.23, respectively) and improved prediction accuracy among stream sizes and in six of nine ecoregions. Additionally, models relying solely on short-term streamflow information performed similarly to those with only long-term streamflow information (kappa = 0.23). Incorporating short-term antecedent streamflow metrics may provide added ecological information not fully captured by long-term flow regime summaries in macroscale modeling efforts or perform similarly to long-term streamflow data when long-term data are not available.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.168258","usgsCitation":"Woods, T., Eng, K., Carlisle, D.M., Cashman, M.J., Meador, M.R., Ryberg, K.R., and Maloney, K.O., 2024, Assessing the added value of antecedent streamflow alteration information in modeling stream biological condition: Science of the Total Environment, v. 908, 168258, 9 p., https://doi.org/10.1016/j.scitotenv.2023.168258.","productDescription":"168258, 9 p.","ipdsId":"IP-155632","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441062,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2023.168258","text":"Publisher Index Page"},{"id":423009,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"908","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woods, Taylor 0000-0002-6277-1260","orcid":"https://orcid.org/0000-0002-6277-1260","contributorId":304097,"corporation":false,"usgs":true,"family":"Woods","given":"Taylor","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":888815,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eng, Ken 0000-0001-6838-5849 keng@usgs.gov","orcid":"https://orcid.org/0000-0001-6838-5849","contributorId":3580,"corporation":false,"usgs":true,"family":"Eng","given":"Ken","email":"keng@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":888816,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carlisle, Daren M. 0000-0002-7367-348X dcarlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-7367-348X","contributorId":513,"corporation":false,"usgs":true,"family":"Carlisle","given":"Daren","email":"dcarlisle@usgs.gov","middleInitial":"M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":888817,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cashman, Matthew J. 0000-0002-6635-4309","orcid":"https://orcid.org/0000-0002-6635-4309","contributorId":203315,"corporation":false,"usgs":true,"family":"Cashman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":888818,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Meador, Michael R. 0000-0001-5956-3340 mrmeador@usgs.gov","orcid":"https://orcid.org/0000-0001-5956-3340","contributorId":219878,"corporation":false,"usgs":true,"family":"Meador","given":"Michael","email":"mrmeador@usgs.gov","middleInitial":"R.","affiliations":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":888819,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888820,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maloney, Kelly O. 0000-0003-2304-0745 kmaloney@usgs.gov","orcid":"https://orcid.org/0000-0003-2304-0745","contributorId":4636,"corporation":false,"usgs":true,"family":"Maloney","given":"Kelly","email":"kmaloney@usgs.gov","middleInitial":"O.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":888821,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70265541,"text":"70265541 - 2024 - Detection and quantification of preferential flow using artificial rainfall with multiple experimental approaches","interactions":[],"lastModifiedDate":"2025-04-14T14:59:19.60552","indexId":"70265541","displayToPublicDate":"2023-11-08T07:53:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1923,"text":"Hydrogeology Journal","active":true,"publicationSubtype":{"id":10}},"title":"Detection and quantification of preferential flow using artificial rainfall with multiple experimental approaches","docAbstract":"

Preferential flow in the unsaturated zone strongly influences important hydrologic processes, such as infiltration, contaminant transport, and aquifer recharge. Because it entails various combinations of physical processes arising from the interactions of water, air, and solid particles in a porous medium, preferential flow is highly complex. Major research is needed to improve the ability to understand, quantify, model, and predict preferential flow. Toward a solution, a combination of diverse experimental measurements at multiple scales, from laboratory scale to mesoscale, has been implemented to detect and quantify preferential paths in carbonate and karstic unsaturated zones. This involves integration of information from (1) core samples, by means of mercury intrusion porosimeter, evaporation, quasi-steady centrifuge and dewpoint potentiometer laboratory methods, to investigate the effect of pore-size distribution on hydraulic characteristics and the potential activation of preferential flow, (2) field plot experiments with artificial sprinkling, to visualize preferential pathways related to secondary porosity, through use of geophysical measurements, and (3) mesoscale evaluation of field data through episodic master recession modeling of episodic recharge. This study demonstrates that preferential flow processes operate from core scale to two different field scales and impact on the qualitative and quantitative groundwater status, by entailing fast flow with subsequent effects on recharge rate and contaminant mobilizing. The presented results represent a rare example of preferential flow detection and numerical modeling by reducing underestimation of the recharge and contamination risks.

","language":"English","publisher":"Springer Nature","doi":"10.1007/s10040-023-02733-3","usgsCitation":"Caputo, M.C., De Carlo, L., Masciale, R., Perkins, K., Turturro, A., and Nimmo, J.R., 2024, Detection and quantification of preferential flow using artificial rainfall with multiple experimental approaches: Hydrogeology Journal, v. 32, p. 467-485, https://doi.org/10.1007/s10040-023-02733-3.","productDescription":"19 p.","startPage":"467","endPage":"485","ipdsId":"IP-154640","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488207,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10040-023-02733-3","text":"Publisher Index Page"},{"id":484496,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","city":"Bari","otherGeospatial":"Apulia Region","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 16.69243585627035,\n 41.22008353121049\n ],\n [\n 16.723263851427802,\n 41.048118236977714\n ],\n [\n 17.078664904300638,\n 40.82955430051331\n ],\n [\n 18.547099758451623,\n 40.035404755129974\n ],\n [\n 18.558702660409736,\n 40.23218241073464\n ],\n [\n 18.044813946689686,\n 40.80608860459688\n ],\n [\n 16.69243585627035,\n 41.22008353121049\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"32","noUsgsAuthors":false,"publicationDate":"2023-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Caputo, Maria Clementina","contributorId":298645,"corporation":false,"usgs":false,"family":"Caputo","given":"Maria","email":"","middleInitial":"Clementina","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932984,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"De Carlo, Lorenzo","contributorId":298644,"corporation":false,"usgs":false,"family":"De Carlo","given":"Lorenzo","email":"","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932985,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Masciale, Rita","contributorId":353110,"corporation":false,"usgs":false,"family":"Masciale","given":"Rita","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932986,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perkins, Kimberlie 0000-0001-8349-447X kperkins@usgs.gov","orcid":"https://orcid.org/0000-0001-8349-447X","contributorId":138544,"corporation":false,"usgs":true,"family":"Perkins","given":"Kimberlie","email":"kperkins@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":932987,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turturro, Antonietta Celeste","contributorId":353112,"corporation":false,"usgs":false,"family":"Turturro","given":"Antonietta Celeste","affiliations":[{"id":64641,"text":"CNR-IRSA","active":true,"usgs":false}],"preferred":false,"id":932988,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nimmo, John R. 0000-0001-8191-1727 jrnimmo@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-1727","contributorId":757,"corporation":false,"usgs":true,"family":"Nimmo","given":"John","email":"jrnimmo@usgs.gov","middleInitial":"R.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":932989,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250387,"text":"70250387 - 2024 - Degradation kinetics of veterinary antibiotics and estrogenic hormones in a claypan soil","interactions":[],"lastModifiedDate":"2023-12-06T12:57:01.515794","indexId":"70250387","displayToPublicDate":"2023-11-02T06:53:20","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1226,"text":"Chemosphere","active":true,"publicationSubtype":{"id":10}},"title":"Degradation kinetics of veterinary antibiotics and estrogenic hormones in a claypan soil","docAbstract":"

Veterinary antibiotics and estrogens are excreted in livestock waste before being applied to agricultural lands as fertilizer, resulting in contamination of soil and adjacent waterways. The objectives of this study were to 1) investigate the degradation kinetics of the VAs sulfamethazine and lincomycin and the estrogens estrone and 17β-estradiol in soil mesocosms, and 2) assess the effect of the phytochemical DIBOA-Glu, secreted in eastern gamagrass (Tripsacum dactyloides) roots, on antibiotic degradation due to the ability of DIBOA-Glu to facilitate hydrolysis of atrazine in solution assays. Mesocosm soil was a silt loam representing a typical claypan soil in portions of Missouri and the Central United States. Mesocosms (n = 133) were treated with a single target compound (antibiotic concentrations at 125 ng g−1 dw, estrogen concentrations at 1250 ng g−1 dw); a subset of mesocosms treated with antibiotics were also treated with DIBOA-Glu (12,500 ng g−1 dw); all mesocosms were kept at 60% water-filled pore space and incubated at 25 °C in darkness. Randomly chosen mesocosms were destructively sampled in triplicate for up to 96 days. All targeted compounds followed pseudo first-order degradation kinetics in soil. The soil half-life (t0.5) of sulfamethazine ranged between 17.8 and 30.1 d and ranged between 9.37 and 9.90 d for lincomycin. The antibiotics results showed no significant differences in degradation kinetics between treatments with or without DIBOA-Glu. For estrogens, degradation rates of estrone (t0.5 = 4.71–6.08 d) and 17β-estradiol (t0.5 = 5.59–6.03 d) were very similar; however, results showed that estrone was present as a metabolite in the 17β-estradiol treated mesocosms and vice-versa within 24 h. The antibiotics results suggest that sulfamethazine has a greater potential to persist in soil than lincomycin. The interconversion of 17β-estradiol and estrone in soil increased their overall persistence and sustained soil estrogenicity. This study demonstrates the persistence of these compounds in a typical claypan soil representing portions of the Central United States.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.chemosphere.2023.140501","usgsCitation":"Moody, A.H., Lerch, R., Goyle, K., Anderson, S., Mendoza-Cozatl, D., and Alvarez, D.A., 2024, Degradation kinetics of veterinary antibiotics and estrogenic hormones in a claypan soil: Chemosphere, v. 346, 140501, 8 p., https://doi.org/10.1016/j.chemosphere.2023.140501.","productDescription":"140501, 8 p.","ipdsId":"IP-154423","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"links":[{"id":441083,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.chemosphere.2023.140501","text":"Publisher Index Page"},{"id":423262,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"346","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Moody, Adam H. 0000-0001-6160-7920","orcid":"https://orcid.org/0000-0001-6160-7920","contributorId":302592,"corporation":false,"usgs":true,"family":"Moody","given":"Adam","email":"","middleInitial":"H.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":889657,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lerch, Robert N.","contributorId":189360,"corporation":false,"usgs":false,"family":"Lerch","given":"Robert N.","affiliations":[],"preferred":false,"id":889658,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Goyle, Keith","contributorId":332184,"corporation":false,"usgs":false,"family":"Goyle","given":"Keith","email":"","affiliations":[{"id":25550,"text":"Virginia Polytechnic Institute and State University","active":true,"usgs":false}],"preferred":false,"id":889659,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anderson, Stephen H.","contributorId":204932,"corporation":false,"usgs":false,"family":"Anderson","given":"Stephen H.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":889660,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mendoza-Cozatl, David","contributorId":302593,"corporation":false,"usgs":false,"family":"Mendoza-Cozatl","given":"David","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":889661,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alvarez, David A. 0000-0002-6918-2709","orcid":"https://orcid.org/0000-0002-6918-2709","contributorId":220763,"corporation":false,"usgs":true,"family":"Alvarez","given":"David","middleInitial":"A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":889662,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70252622,"text":"70252622 - 2024 - Dam removal cost databases and drivers","interactions":[],"lastModifiedDate":"2024-04-01T14:26:56.740565","indexId":"70252622","displayToPublicDate":"2023-10-31T09:21:30","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"seriesTitle":{"id":7504,"text":"Final Report","active":true,"publicationSubtype":{"id":1}},"seriesNumber":"ST-2023-21084 and ENV-2023-002","title":"Dam removal cost databases and drivers","docAbstract":"

The United States (U.S.) has over 90,000 dams listed in the National Inventory of Dams that provide vital infrastructure to support water management for municipal and industrial uses including irrigation, hydropower, flood control, navigation, recreation, and habitat, among other uses (NID 2023). The Bureau of Reclamation (Reclamation) and U.S. Army Corps of Engineers (USACE) operate and maintain approximately 489 and 740 dams, respectively, as well as associated structures which provide flood risk management, navigation, water supply, hydropower, environmental stewardship, fish and wildlife conservation, and recreation benefits. As dams age, structural and operational maintenance investments increase until a time when decisions on whether to rehabilitate, replace, or decommission the dam need to be made. While most dams continue to provide important value even with maintenance requirements, at least 2,000 dams have been removed in the U.S. during the past 110 years, with an upward trend in the last few decades (American Rivers 2023). Decommissioning a dam may be considered when the purpose of the dam is no longer needed or other factors such as dam safety, fish passage, recreation safety, or river restoration goals take higher priority and are more economically feasible for the dam owner long-term.

Dam safety programs, river restoration programs, and asset class management programs need cost estimating methods to consider dam decommissioning when appropriate. Traditional cost estimating approaches in planning stages focus mainly on dam removal construction and may leave out or have uncertainty on important complexities that can have substantial effects on total costs and be critical for project success. As the numbers of dam removal case studies increase, a growing set of cost data has become available (Duda et al. 2023a; Tullos and Bountry 2023; American Rivers 2022). However, total costs vary over five orders of magnitude for similar size dams, and it was unclear why. We evaluated three sets of cost data that had varying level of details regarding elements contributing to dam removal costs reported by project managers working on the dam removal studies and construction means and methods.

We created planning-level cost estimating tools to assist with projects needing to consider the dam removal alternative: (1) new databases of case studies (Duda et al. 2023a; Tullos and Bountry 2023); (2) scoping questions to help determine if complexity cost drivers will be present; (3) machine learning based regression trees to estimate a potential cost range; and (4) a Computation Guide for Cost Estimating that can be used to inform discussions on potential dam removal cost items, quantities, and unit costs (appendix A). The collected data showed that dam height is important but is not a reliable predictor of the removal cost without considering other elements. However, knowing some basic characteristics about the average annual flow and geographic location of the dam site, in addition to dam size, can improve the ability to use past case studies for planning-level cost estimating. By additionally incorporating scoping questions related to sediment removal, mitigation, or other infrastructure, the likelihood of complexity cost drivers and the initial uncertainty of a cost estimate can be further reduced especially for small dams. Applying the Computation Guide for Cost Estimating requires more robust information but helps users reduce cost uncertainty. This step further refines the dam removal objective, removal approach (partial or full; phased or instantaneous), engineering design, construction means and methods, quantities, and unit costs, and results in a quantitative cost estimate.

","language":"English","publisher":"Bureau of Reclamation","collaboration":"Army Corps of Engineers, Bureau of Reclamation, Oregon State University","usgsCitation":"Bountry, J.A., Randle, T.J., Jansen, A., Duda, J.J., Jumani, S., Tullos, D.D., McKay, K., and Bailey, S., 2024, Dam removal cost databases and drivers: Final Report ST-2023-21084 and ENV-2023-002, 60 p.","productDescription":"60 p.","ipdsId":"IP-156982","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":427267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":427257,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://data.usbr.gov/catalog/7975/item/128527"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bountry, Jennifer A.","contributorId":30114,"corporation":false,"usgs":false,"family":"Bountry","given":"Jennifer","email":"","middleInitial":"A.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":897732,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Randle, Timothy J.","contributorId":90994,"corporation":false,"usgs":false,"family":"Randle","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":7183,"text":"U.S. Bureau of Reclamation","active":true,"usgs":false}],"preferred":false,"id":897733,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jansen, Alvin","contributorId":317292,"corporation":false,"usgs":false,"family":"Jansen","given":"Alvin","email":"","affiliations":[{"id":68995,"text":"Technical Service Center, Bureau of Reclamation, Denver, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":897734,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":897735,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jumani, Suman 0000-0002-2292-7996","orcid":"https://orcid.org/0000-0002-2292-7996","contributorId":305995,"corporation":false,"usgs":false,"family":"Jumani","given":"Suman","email":"","affiliations":[{"id":66338,"text":"Network for Engineering with Nature, Georgia, USA","active":true,"usgs":false}],"preferred":false,"id":897736,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tullos, Desiree D.","contributorId":176667,"corporation":false,"usgs":false,"family":"Tullos","given":"Desiree","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":897737,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McKay, Kyle","contributorId":335212,"corporation":false,"usgs":false,"family":"McKay","given":"Kyle","email":"","affiliations":[{"id":80343,"text":"Engineer Research and Development Center – Environmental Laboratory, U.S. Army Corps of Engineers, Vicksburg, MS","active":true,"usgs":false}],"preferred":false,"id":897738,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bailey, Susan","contributorId":317293,"corporation":false,"usgs":false,"family":"Bailey","given":"Susan","email":"","affiliations":[{"id":68996,"text":"Engineer Research and Development Center - Environmental Laboratory, U.S. Army Corps of Engineers, Vicksburg, Mississippi, USA","active":true,"usgs":false}],"preferred":false,"id":897739,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70249840,"text":"70249840 - 2024 - Warming-induced changes in benthic redox as a potential driver of increasing benthic algal blooms in high-elevation lakes","interactions":[],"lastModifiedDate":"2024-01-24T17:51:22.706331","indexId":"70249840","displayToPublicDate":"2023-10-31T08:42:42","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12978,"text":"Limnology and Oceanography - Letters","active":true,"publicationSubtype":{"id":10}},"title":"Warming-induced changes in benthic redox as a potential driver of increasing benthic algal blooms in high-elevation lakes","docAbstract":"

Algal blooms appear to be increasing on benthic substrates of naturally nutrient-poor lakes worldwide, yet common drivers across these systems remain elusive. The phenomenon has been notable in high-elevation mountain lakes, which is enigmatic given their relative remoteness from human disturbance. We suggest that warming-induced changes in redox conditions that promote nutrient release from sediments warrant more attention. Warming associated with climate change reduces oxygen content and hastens microbial processes, enhancing release of nutrients which can be intercepted by the benthic algae before reaching the water column. Warming effects may be particularly noticeable in high-elevation lakes that hold less oxygen at saturation, are warming more rapidly than lowland lakes, and can receive relatively high solar radiation.

","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lol2.10357","usgsCitation":"Hampton, S.E., Baron, J., Ladwig, R., McClure, R.P., Meyer, M.F., Oleksy, I., and Shampain, A., 2024, Warming-induced changes in benthic redox as a potential driver of increasing benthic algal blooms in high-elevation lakes: Limnology and Oceanography - Letters, v. 9, no. 1, p. 1-6, https://doi.org/10.1002/lol2.10357.","productDescription":"6 p.","startPage":"1","endPage":"6","ipdsId":"IP-149573","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":441090,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lol2.10357","text":"Publisher Index Page"},{"id":422330,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-10-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Hampton, Stephanie E.","contributorId":178718,"corporation":false,"usgs":false,"family":"Hampton","given":"Stephanie","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":887324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baron, Jill 0000-0002-5902-6251 jill_baron@usgs.gov","orcid":"https://orcid.org/0000-0002-5902-6251","contributorId":194124,"corporation":false,"usgs":true,"family":"Baron","given":"Jill","email":"jill_baron@usgs.gov","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":887325,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ladwig, Robert 0000-0001-8443-1999","orcid":"https://orcid.org/0000-0001-8443-1999","contributorId":268211,"corporation":false,"usgs":false,"family":"Ladwig","given":"Robert","email":"","affiliations":[],"preferred":false,"id":887326,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"McClure, Ryan P. 0000-0001-6370-3852","orcid":"https://orcid.org/0000-0001-6370-3852","contributorId":268224,"corporation":false,"usgs":false,"family":"McClure","given":"Ryan","email":"","middleInitial":"P.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":887327,"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":887328,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Oleksy, Isabella 0000-0003-2572-5457","orcid":"https://orcid.org/0000-0003-2572-5457","contributorId":268213,"corporation":false,"usgs":false,"family":"Oleksy","given":"Isabella","email":"","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":887329,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shampain, Anna 0000-0001-5447-7638","orcid":"https://orcid.org/0000-0001-5447-7638","contributorId":331317,"corporation":false,"usgs":false,"family":"Shampain","given":"Anna","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":887330,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261052,"text":"70261052 - 2024 - Effects of auto-adaptive localization on a model calibration using ensemble methods","interactions":[],"lastModifiedDate":"2024-11-21T14:00:16.027811","indexId":"70261052","displayToPublicDate":"2023-10-28T08:59:02","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"Effects of auto-adaptive localization on a model calibration using ensemble methods","docAbstract":"

Simulations of the natural systems for environmental decision-making typically benefit from a highly parameterized approach (Hunt et al. 2007; Doherty and Hunt 2010), which enhances the flow of information contained in state observations to the parameters and improves application to decision support. However, parameter estimation (PE) with highly parameterized environmental models using traditional approaches (e.g., Doherty and Hunt 2010) is computationally intensive. Attempts at addressing the computational burden include improved computing approaches (e.g., Schreüder 2009; Hunt et al. 2010) and advances in algorithmic approaches (e.g., Tonkin and Doherty 2005; Welter et al. 2012, 2015). Recently, the iterative ensemble smoother (IES) approach (Chen and Oliver 2013; White 2018; White et al. 2020a) has greatly improved the efficiency of the PE calibration process compared to previous algorithms while concurrently providing nonlinear estimates of uncertainty (Hunt et al. 2021).

","language":"English","publisher":"National Groundwater Association","doi":"10.1111/gwat.13368","usgsCitation":"Traylor, J.P., Hunt, R., White, J., and Fienen, M., 2024, Effects of auto-adaptive localization on a model calibration using ensemble methods: Groundwater, v. 2, no. 1, p. 140-149, https://doi.org/10.1111/gwat.13368.","productDescription":"10 p.","startPage":"140","endPage":"149","ipdsId":"IP-149273","costCenters":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"links":[{"id":467050,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13368","text":"Publisher Index Page"},{"id":464388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"2","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Traylor, Jonathan P. 0000-0002-2008-1923 jtraylor@usgs.gov","orcid":"https://orcid.org/0000-0002-2008-1923","contributorId":5322,"corporation":false,"usgs":true,"family":"Traylor","given":"Jonathan","email":"jtraylor@usgs.gov","middleInitial":"P.","affiliations":[{"id":464,"text":"Nebraska Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919034,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hunt, Randall J. 0000-0001-6465-9304","orcid":"https://orcid.org/0000-0001-6465-9304","contributorId":16118,"corporation":false,"usgs":true,"family":"Hunt","given":"Randall J.","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":919035,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"White, Jeremy","contributorId":260166,"corporation":false,"usgs":false,"family":"White","given":"Jeremy","affiliations":[{"id":52529,"text":"Interra","active":true,"usgs":false}],"preferred":false,"id":919036,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fienen, Michael N. 0000-0002-7756-4651","orcid":"https://orcid.org/0000-0002-7756-4651","contributorId":245632,"corporation":false,"usgs":true,"family":"Fienen","given":"Michael N.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919037,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70250286,"text":"70250286 - 2024 - Mountain glaciers influence biogeochemical and ecological characteristics of high-elevation lakes across the northern Rocky Mountains, USA","interactions":[],"lastModifiedDate":"2024-01-24T17:56:28.082975","indexId":"70250286","displayToPublicDate":"2023-10-27T07:20:37","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":"Mountain glaciers influence biogeochemical and ecological characteristics of high-elevation lakes across the northern Rocky Mountains, USA","docAbstract":"

Mountain glaciers are retreating rapidly due to climate change, leading to the formation of downstream lakes. However, little is known about the physical and biogeochemical conditions in these lakes across a range of glacial influence. We surveyed alpine lakes fed by both glacial and snowpack meltwaters and those fed by snowpack alone to compare nutrient concentrations, stoichiometry, water clarity, chlorophyll, and zooplankton communities. Total phosphorus (TP) and soluble reactive phosphorus were two times higher in glacial lakes than in non-glacial lakes, while nitrate concentrations were three times higher. However, organic carbon concentrations in glacial lakes were two times lower than in non-glacial lakes. The carbon-to-phosphorus ratio and the nitrogen-to-phosphorus ratio of lake seston increased with water clarity in glacial lakes, suggesting that turbidity from glacial flour increases light limitation and increases stoichiometric food quality for zooplankton in newly formed lakes. However, chlorophyll a concentrations did not differ between lake types. Through structural equation modeling, we found that glaciers exhibit a bidirectional association with nitrate and TP concentrations, perhaps mediated through landscape vegetation and lake clarity. Zooplankton communities in high-turbidity glacial lakes were largely composed of cyclopoid copepods and rotifers (i.e., non-filter feeders), while non-glacial lakes tended to be dominated by calanoid copepods and cladocerans (i.e., filter feeders). Our results show that glacier-influenced lakes have biogeochemical and ecological characteristics distinct from snow-fed mountain lakes. Sustained studies are needed to assess the dynamics of these unique features as the influence of the alpine cryosphere fades under ongoing climate change.

","language":"English","publisher":"Association for the Sciences of Limnology and Oceanography","doi":"10.1002/lno.12434","usgsCitation":"Vanderwall, J., Muhlfeld, C.C., Tappenback, T., Giersch, J., Ren, Z., and Elser, J., 2024, Mountain glaciers influence biogeochemical and ecological characteristics of high-elevation lakes across the northern Rocky Mountains, USA: Limnology and Oceanography, v. 69, no. 1, p. 37-52, https://doi.org/10.1002/lno.12434.","productDescription":"16 p.","startPage":"37","endPage":"52","ipdsId":"IP-150449","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":423145,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -115.35584735104263,\n 49.01503962038723\n ],\n [\n -115.35584735104263,\n 47.016451204286994\n ],\n [\n -111.84022235104229,\n 47.016451204286994\n ],\n [\n -111.84022235104229,\n 49.01503962038723\n ],\n [\n -115.35584735104263,\n 49.01503962038723\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"69","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-09-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Vanderwall, Joseph","contributorId":332031,"corporation":false,"usgs":false,"family":"Vanderwall","given":"Joseph","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":889288,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muhlfeld, Clint C. 0000-0002-4599-4059 cmuhlfeld@usgs.gov","orcid":"https://orcid.org/0000-0002-4599-4059","contributorId":924,"corporation":false,"usgs":true,"family":"Muhlfeld","given":"Clint","email":"cmuhlfeld@usgs.gov","middleInitial":"C.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":889289,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tappenback, Tyler","contributorId":332033,"corporation":false,"usgs":false,"family":"Tappenback","given":"Tyler","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":889290,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giersch, Joe","contributorId":332035,"corporation":false,"usgs":false,"family":"Giersch","given":"Joe","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":889291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ren, Ze","contributorId":332037,"corporation":false,"usgs":false,"family":"Ren","given":"Ze","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":889292,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elser, Jim","contributorId":332039,"corporation":false,"usgs":false,"family":"Elser","given":"Jim","email":"","affiliations":[{"id":36523,"text":"University of Montana","active":true,"usgs":false}],"preferred":false,"id":889293,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70255039,"text":"70255039 - 2024 - Going with the floe: Sea-ice movement affects distance and destination during Adélie penguin winter movements","interactions":[],"lastModifiedDate":"2024-06-12T22:18:16.941707","indexId":"70255039","displayToPublicDate":"2023-10-26T17:08:53","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Going with the floe: Sea-ice movement affects distance and destination during Adélie penguin winter movements","docAbstract":"

Seasonal migration, driven by shifts in annual climate cycles and resources, is a key part of the life history and ecology of species across taxonomic groups. By influencing the amount of energy needed to move, external forces such as wind and ocean currents are often key drivers of migratory pathways exposing individuals to varying resources, environmental conditions, and competition pressures impacting individual fitness and population dynamics. Although wildlife movements in connection with wind and ocean currents are relatively well understood, movements within sea-ice fields have been much less studied, despite sea ice being an integral part of polar ecology. Adélie penguins (Pygoscelis adeliae) in the southern Ross Sea, Antarctica, currently exist at the southernmost edge of their range and undergo the longest (~12,000 km) winter migration known for the species. Within and north of the Ross Sea, the Ross Gyre drives ocean circulation and the large-scale movement of sea ice. We used remotely sensed sea-ice movement data together with geolocation-based penguin movement data to test the hypothesis that penguins use gyre-driven sea-ice movement to aid their migration. We found that penguins traveled greater distances when their movement vectors were aligned with those of sea ice (i.e., ice support) and the amount of ice support received depended on which route a penguin took. We also found that birds that took an eastern route traveled significantly further north in two of the 3 years we examined, coinciding with higher velocities of sea ice in those years. We compare our findings to patterns observed in migrating species that utilize air or water currents for their travel and with other studies showing the importance of ocean/sea-ice circulation patterns to wildlife movement and life history patterns within the Ross Sea. Changes in sea ice may have consequences not only for energy expenditure but, by altering migration and movement pathways, to the ecological interactions that exist in this region.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.4196","usgsCitation":"Jongsomjit, D., Lescroël, A., Schmidt, A., Lisovski, S., Ainley, D.G., Hines, E., Elrod, M., Dugger, K., and Ballard, G., 2024, Going with the floe: Sea-ice movement affects distance and destination during Adélie penguin winter movements: Ecology, v. 105, e4196, 17 p., https://doi.org/10.1002/ecy.4196.","productDescription":"e4196, 17 p.","ipdsId":"IP-150837","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":441096,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecy.4196","text":"Publisher Index Page"},{"id":430041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Antarctica","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -179.9,\n -60\n ],\n [\n -179.9,\n -80\n ],\n [\n -140,\n -80\n ],\n [\n -140,\n -60\n ],\n [\n -179.9,\n -60\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 179.9,\n -60\n ],\n [\n 130,\n -60\n ],\n [\n 130,\n -80\n ],\n [\n 179.9,\n -80\n ],\n [\n 179.9,\n -60\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"105","noUsgsAuthors":false,"publicationDate":"2024-01-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Jongsomjit, Dennis","contributorId":276370,"corporation":false,"usgs":false,"family":"Jongsomjit","given":"Dennis","affiliations":[{"id":48619,"text":"pbcs","active":true,"usgs":false}],"preferred":false,"id":903221,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lescroël, Amelie","contributorId":275177,"corporation":false,"usgs":false,"family":"Lescroël","given":"Amelie","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":903222,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schmidt, Annie","contributorId":338340,"corporation":false,"usgs":false,"family":"Schmidt","given":"Annie","affiliations":[{"id":17734,"text":"Point Blue Conservation Science","active":true,"usgs":false}],"preferred":false,"id":903223,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lisovski, Simeon","contributorId":337936,"corporation":false,"usgs":false,"family":"Lisovski","given":"Simeon","affiliations":[{"id":62783,"text":"Alfred Wegener Institute","active":true,"usgs":false}],"preferred":false,"id":903224,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ainley, David G.","contributorId":32039,"corporation":false,"usgs":false,"family":"Ainley","given":"David","email":"","middleInitial":"G.","affiliations":[{"id":34154,"text":"Point Reyes Bird Observatory, Stinson Beach, CA","active":true,"usgs":false}],"preferred":false,"id":903225,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hines, Ellen","contributorId":111908,"corporation":false,"usgs":true,"family":"Hines","given":"Ellen","affiliations":[],"preferred":false,"id":903226,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Elrod, Megan","contributorId":197717,"corporation":false,"usgs":false,"family":"Elrod","given":"Megan","affiliations":[],"preferred":false,"id":903227,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dugger, Katie M. 0000-0002-4148-246X cdugger@usgs.gov","orcid":"https://orcid.org/0000-0002-4148-246X","contributorId":4399,"corporation":false,"usgs":true,"family":"Dugger","given":"Katie","email":"cdugger@usgs.gov","middleInitial":"M.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903228,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ballard, Grant","contributorId":276385,"corporation":false,"usgs":false,"family":"Ballard","given":"Grant","affiliations":[{"id":48619,"text":"pbcs","active":true,"usgs":false}],"preferred":false,"id":903229,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70250452,"text":"70250452 - 2024 - An agricultural package for MODFLOW 6 using the Application Programming Interface","interactions":[],"lastModifiedDate":"2024-02-07T17:12:47.745412","indexId":"70250452","displayToPublicDate":"2023-10-26T08:25:36","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"An agricultural package for MODFLOW 6 using the Application Programming Interface","docAbstract":"

An agricultural water use package has been developed for MODFLOW 6 using the MODFLOW Application Programming Interface (API). The MODFLOW API Agricultural Water Use Package (API-Ag) was based on the approach to simulate irrigation demand in the MODFLOW-NWT and GSFLOW Agricultural Water Use (AG) Package. The API-Ag Package differs from the previous approach by implementing new features and support for additional irrigation providers. New features include representation of deficit and over-irrigation, Multi-Aquifer Well and Lake Package irrigation providers, and support for structured, vertex, and unstructured grid models. Three example problems are presented that demonstrate how the API-Ag Package improves representation of highly managed systems and are further used to validate the irrigation demand and delivery formulations. Irrigation volumes simulated in the three example problems show excellent agreement with the MODFLOW-NWT AG Package.

","language":"English","publisher":"National Ground Water Association","doi":"10.1111/gwat.13367","usgsCitation":"Larsen, J., Langevin, C.D., Hughes, J.D., and Niswonger, R.G., 2024, An agricultural package for MODFLOW 6 using the Application Programming Interface: Groundwater, v. 62, no. 1, p. 157-166, https://doi.org/10.1111/gwat.13367.","productDescription":"10 p.","startPage":"157","endPage":"166","ipdsId":"IP-149589","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":441099,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13367","text":"Publisher Index Page"},{"id":435094,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9K6UW9F","text":"USGS data release","linkHelpText":"Agricultural water use package for the MODFLOW API"},{"id":423382,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"62","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-11-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Larsen, Joshua 0000-0002-1218-800X jlarsen@usgs.gov","orcid":"https://orcid.org/0000-0002-1218-800X","contributorId":272403,"corporation":false,"usgs":true,"family":"Larsen","given":"Joshua","email":"jlarsen@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889941,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":889942,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hughes, Joseph D. 0000-0003-1311-2354 jdhughes@usgs.gov","orcid":"https://orcid.org/0000-0003-1311-2354","contributorId":2492,"corporation":false,"usgs":true,"family":"Hughes","given":"Joseph","email":"jdhughes@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":889943,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Niswonger, Richard G. 0000-0001-6397-2403 rniswon@usgs.gov","orcid":"https://orcid.org/0000-0001-6397-2403","contributorId":197892,"corporation":false,"usgs":true,"family":"Niswonger","given":"Richard","email":"rniswon@usgs.gov","middleInitial":"G.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":889944,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70251658,"text":"70251658 - 2024 - Assessing the relationship between cyanobacteria blooms and respiratory-related hospital visits: Green Bay, Wisconsin 2017–2019","interactions":[],"lastModifiedDate":"2024-02-22T12:50:42.995105","indexId":"70251658","displayToPublicDate":"2023-10-21T06:43:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17166,"text":"International Journal of Hygiene and Environmental Health","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the relationship between cyanobacteria blooms and respiratory-related hospital visits: Green Bay, Wisconsin 2017–2019","docAbstract":"

Potential acute and chronic human health effects associated with exposure to cyanobacteria and cyanotoxins, including respiratory symptoms, are an understudied public health concern. We examined the relationship between estimated cyanobacteria biomass and the frequency of respiratory-related hospital visits for residents living near Green Bay, Lake Michigan, Wisconsin during 2017–2019. Remote sensing data from the Cyanobacteria Assessment Network was used to approximate cyanobacteria exposure through creation of a metric for cyanobacteria chlorophyll-a (ChlBS). We obtained counts of hospital visits for asthma, wheezing, and allergic rhinitis from the Wisconsin Hospital Association for ZIP codes within a 3-mile radius of Green Bay. We analyzed weekly counts of hospital visits versus cyanobacteria, which was modelled as a continuous measure (ChlBS) or categorized according to World Health Organization's (WHO) alert levels using Poisson generalized linear models. Our data included 2743 individual hospital visits and 114 weeks of satellite derived cyanobacteria biomass indicator data. Peak values of ChlBS were observed between the months of June and October. Using the WHO alert levels, 60% of weeks were categorized as no risk, 19% as Vigilance Level, 15% as Alert Level 1, and 6% as Alert Level 2. In Poisson regression models adjusted for temperature, dewpoint, season, and year, there was no association between ChlBS and hospital visits (rate ratio [RR] [95% Confidence Interval (CI)] = 0.98 [0.77, 1.24]). There was also no consistent association between WHO alert level and hospital visits when adjusting for covariates (Vigilance Level: RR [95% CI] 0.88 [0.74, 1.05], Alert Level 1: 0.82 [0.67, 0.99], Alert Level 2: 0.98 [0.77, 1.24], compared to the reference no risk category). Our methodology and model provide a template for future studies that assess the association between cyanobacterial blooms and respiratory health.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijheh.2023.114272","usgsCitation":"Murray, J., Lavery, A.M., Schaeffer, B., Seegers, B.N., Pennington, A.F., Hilborn, E.D., Boerger, S., Runkle, J., Loftin, K.A., Graham, J.L., Stumpf, R., Koch, A., and Backer, L., 2024, Assessing the relationship between cyanobacteria blooms and respiratory-related hospital visits: Green Bay, Wisconsin 2017–2019: International Journal of Hygiene and Environmental Health, v. 255, 114272, 8 p., https://doi.org/10.1016/j.ijheh.2023.114272.","productDescription":"114272, 8 p.","ipdsId":"IP-152000","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":467052,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://repository.library.noaa.gov/view/noaa/68330","text":"Publisher Index Page"},{"id":425855,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Green Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.5234026882663,\n 44.27865448289296\n ],\n [\n -87.33687925076607,\n 44.27865448289296\n ],\n [\n -87.33687925076607,\n 45.04443523688195\n ],\n [\n -88.5234026882663,\n 45.04443523688195\n ],\n [\n -88.5234026882663,\n 44.27865448289296\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"255","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Murray, Jordan","contributorId":289441,"corporation":false,"usgs":false,"family":"Murray","given":"Jordan","email":"","affiliations":[{"id":16806,"text":"Missouri State University","active":true,"usgs":false}],"preferred":false,"id":895220,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lavery, Amy M.","contributorId":334286,"corporation":false,"usgs":false,"family":"Lavery","given":"Amy","email":"","middleInitial":"M.","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":895221,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schaeffer, Blake A.","contributorId":334287,"corporation":false,"usgs":false,"family":"Schaeffer","given":"Blake A.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":895222,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Seegers, Bridget N.","contributorId":334288,"corporation":false,"usgs":false,"family":"Seegers","given":"Bridget","email":"","middleInitial":"N.","affiliations":[{"id":80107,"text":"Morgan State University, National Aeronautics and Space Administration","active":true,"usgs":false}],"preferred":false,"id":895223,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pennington, Audrey F.","contributorId":334289,"corporation":false,"usgs":false,"family":"Pennington","given":"Audrey","email":"","middleInitial":"F.","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":895224,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hilborn, Elizabeth D.","contributorId":334290,"corporation":false,"usgs":false,"family":"Hilborn","given":"Elizabeth","email":"","middleInitial":"D.","affiliations":[{"id":35215,"text":"Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":895225,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boerger, Savannah","contributorId":334291,"corporation":false,"usgs":false,"family":"Boerger","given":"Savannah","email":"","affiliations":[{"id":80108,"text":"Oak Ridge Institute","active":true,"usgs":false}],"preferred":false,"id":895226,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Runkle, Jennifer D.","contributorId":334292,"corporation":false,"usgs":false,"family":"Runkle","given":"Jennifer D.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":895227,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":895228,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":1769,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":895229,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stumpf, Richard","contributorId":334293,"corporation":false,"usgs":false,"family":"Stumpf","given":"Richard","affiliations":[{"id":38436,"text":"National Oceanic and Atmospheric Administration","active":true,"usgs":false}],"preferred":false,"id":895230,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Koch, Amanda","contributorId":334294,"corporation":false,"usgs":false,"family":"Koch","given":"Amanda","email":"","affiliations":[{"id":80109,"text":"Wisconsin Department of Health Services","active":true,"usgs":false}],"preferred":false,"id":895231,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Backer, Lorraine","contributorId":334295,"corporation":false,"usgs":false,"family":"Backer","given":"Lorraine","affiliations":[{"id":27265,"text":"Centers for Disease Control and Prevention","active":true,"usgs":false}],"preferred":false,"id":895232,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}} ,{"id":70256469,"text":"70256469 - 2024 - Using the electron transport system as an indicator of organismal thermal tolerance and respiratory exploitation","interactions":[],"lastModifiedDate":"2024-08-05T21:33:05.332406","indexId":"70256469","displayToPublicDate":"2023-10-16T16:29:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1176,"text":"Canadian Journal of Zoology","active":true,"publicationSubtype":{"id":10}},"title":"Using the electron transport system as an indicator of organismal thermal tolerance and respiratory exploitation","docAbstract":"

Freshwater ecosystems are undergoing rapid thermal shifts, making it increasingly important to understand species-specific responses to these changes. Traditional techniques for determining a species’ thermal tolerance are often lethal and time consuming. Using the enzyme activity associated with the electron transport system (ETS; hereafter referred to as enzyme assay) may provide a non-lethal, rapid, and efficient alternative to traditional techniques for some species. We used largemouth bass Micropterus salmoides (Lacepede, 1802) to test the efficacy of using an enzyme assay to determine thermal tolerance and respiratory exploitation in response to variable acclimation temperatures. Three tissue types were dissected from fish acclimated to 20, 25, or 30 °C and used in ETS assays at temperatures ranging from 7.5 to 40 °C. While there were significant differences among tissue types and acclimation temperatures, maximal enzyme activity occurred from 25.23 to 31.91 °C. Fish lost equilibrium at 39–42 °C in traditional CTmax trials, significantly higher than the upper optimum range determined via enzyme assays. The ratio of enzyme activity to measured whole organism respiration rate decreased with increasing water temperature, with the largest changes occurring at the upper optimum thermal range determined by enzyme assays. Our results indicate that ETS analysis may prove useful for obtaining biologically relevant thermal tolerances.

","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjz-2023-0027","collaboration":"U.S. Army Coops of Engineers","usgsCitation":"Stell, E.G., Brewer, S.K., Horne, L.M., Wright, R.A., and DeVries, D.R., 2024, Using the electron transport system as an indicator of organismal thermal tolerance and respiratory exploitation: Canadian Journal of Zoology, v. 102, no. 2, p. 155-165, https://doi.org/10.1139/cjz-2023-0027.","productDescription":"11 p.","startPage":"155","endPage":"165","ipdsId":"IP-149644","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":500991,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/129595","text":"External Repository"},{"id":432215,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"102","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stell, Ehlana G.","contributorId":340747,"corporation":false,"usgs":false,"family":"Stell","given":"Ehlana","email":"","middleInitial":"G.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":907509,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":907510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Horne, Lindsay M.","contributorId":340749,"corporation":false,"usgs":false,"family":"Horne","given":"Lindsay","email":"","middleInitial":"M.","affiliations":[{"id":81658,"text":"Lincoln Memorial University","active":true,"usgs":false}],"preferred":false,"id":907511,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Russell A.","contributorId":340750,"corporation":false,"usgs":false,"family":"Wright","given":"Russell","email":"","middleInitial":"A.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":907512,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeVries, Dennis R.","contributorId":340751,"corporation":false,"usgs":false,"family":"DeVries","given":"Dennis","email":"","middleInitial":"R.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":907513,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250323,"text":"70250323 - 2024 - Target and suspect per- and polyfluoroalkyl substances in fish from an AFFF-impacted waterway","interactions":[],"lastModifiedDate":"2023-12-04T16:10:14.574234","indexId":"70250323","displayToPublicDate":"2023-10-16T09:45:38","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Target and suspect per- and polyfluoroalkyl substances in fish from an AFFF-impacted waterway","title":"Target and suspect per- and polyfluoroalkyl substances in fish from an AFFF-impacted waterway","docAbstract":"

A major source of toxic per- and polyfluoroalkyl substances (PFAS) is aqueous film-forming foams (AFFF) used in firefighting and training at airports and military installations, however, PFAS have many additional sources in consumer products and industrial processes. A field study was conducted on fish tissues from three reaches of the Columbia Slough, located near Portland International Airport, OR, that are affected by AFFF and other PFAS sources. Fishes including largescale sucker (Catostomus macrocheilus), goldfish (Carassius auratus), and largemouth bass (Micropterus salmoides) were collected in 2019 and 2020. Fish blood, liver, and fillet (muscle) were analyzed for target and suspect PFAS by liquid chromatography high resolution mass spectrometry (LC-HRMS). Data were analyzed for patterns by fish species, tissue type, and river reach. Thirty-three out of 50 target PFAS and additional suspect compounds were detected at least once during the study, at concentrations up to 856 ng/g. Seven carboxylic acids (PFOA, PFNA, PFDA, PFUdA, PFDoA, PFTrDA, PFTeDA), three sulfonates (PFHxS, PFOS, PFDS), three electrofluorination-based compounds (FBSA, FHxSA, FOSA), and two fluorotelomer-based compounds (8:2 FTS, 10:2 FTS) were the most frequently detected compounds in all tissue types. The C6 (PFHxS) to C10 (PFDS) homologs were detected with PFOS and FHxSA at concentrations 1–3 orders of magnitude greater than the other PFAS detected. This is the first report of Cl-PFOS, FPeSA, and FHpSA detected in fish tissue. In all fish samples, fillet concentrations of PFAS were the lowest, followed by liver, and blood concentrations of PFAS were the highest. Differences in PFAS concentrations were driven primarily by tissue types and to a lesser extent fish species, but weakly by river reach. The Oregon Health Authority modified an existing fish consumption advisory on the Columbia Slough to recommend no whole-body consumption of most fish to avoid elevated levels of PFOS in fish liver. Measured PFAS concentrations in fish tissues indicate the potential for adverse ecological effects.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.167798","usgsCitation":"Nilsen, E., Muensterman, D.J., Carini, L., Waite, I.R., Payne, S.E., Field, J., Peterson, J.L., Hafley, D., Farrer, D., and Jones, G.D., 2024, Target and suspect per- and polyfluoroalkyl substances in fish from an AFFF-impacted waterway: Science of the Total Environment, v. 906, 167798, 11 p., https://doi.org/10.1016/j.scitotenv.2023.167798.","productDescription":"167798, 11 p.","ipdsId":"IP-134199","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":441111,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2023.167798","text":"Publisher Index Page"},{"id":423178,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Columbia Slough","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.77377259108432,\n 45.6551878154539\n ],\n [\n -122.77377259108432,\n 45.38008686160234\n ],\n [\n -122.35368994878024,\n 45.38008686160234\n ],\n [\n -122.35368994878024,\n 45.6551878154539\n ],\n [\n -122.77377259108432,\n 45.6551878154539\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"906","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nilsen, Elena 0000-0002-0104-6321","orcid":"https://orcid.org/0000-0002-0104-6321","contributorId":212096,"corporation":false,"usgs":true,"family":"Nilsen","given":"Elena","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889447,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Muensterman, Derek J. 0000-0002-7911-3563","orcid":"https://orcid.org/0000-0002-7911-3563","contributorId":298775,"corporation":false,"usgs":false,"family":"Muensterman","given":"Derek","email":"","middleInitial":"J.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":889448,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carini, Lya 0009-0002-2884-7118","orcid":"https://orcid.org/0009-0002-2884-7118","contributorId":332100,"corporation":false,"usgs":false,"family":"Carini","given":"Lya","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":889449,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889450,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Payne, Sean E. 0000-0003-1836-1886 spayne@usgs.gov","orcid":"https://orcid.org/0000-0003-1836-1886","contributorId":292581,"corporation":false,"usgs":true,"family":"Payne","given":"Sean","email":"spayne@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":889451,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Field, Jennifer 0000-0002-9346-4693","orcid":"https://orcid.org/0000-0002-9346-4693","contributorId":223447,"corporation":false,"usgs":false,"family":"Field","given":"Jennifer","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":889452,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peterson, Jennifer L 0009-0008-6762-3188","orcid":"https://orcid.org/0009-0008-6762-3188","contributorId":332101,"corporation":false,"usgs":false,"family":"Peterson","given":"Jennifer","email":"","middleInitial":"L","affiliations":[{"id":27064,"text":"Oregon Department of Environmental Quality","active":true,"usgs":false}],"preferred":false,"id":889453,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hafley, Daniel","contributorId":332103,"corporation":false,"usgs":false,"family":"Hafley","given":"Daniel","email":"","affiliations":[{"id":27064,"text":"Oregon Department of Environmental 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River Water Management Plan","interactions":[],"lastModifiedDate":"2024-10-10T16:48:39.581259","indexId":"70259508","displayToPublicDate":"2023-10-13T10:11:28","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":18744,"text":"Modeling Report","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"Plan Project no. 251008","title":"Hydrologic, water operations, reservoir temperature, river temperature, sediment transport, habitat, and fish population modeling for the Trinity River Water Management Plan","docAbstract":"

Humboldt County is developing a Water Management Plan that will describe a range of proposed annual releases from Trinity Reservoir consistent with the 1959 water delivery contract between Humboldt County and the U.S. Bureau of Reclamation (Reclamation). The 1959 contract states that Reclamation shall release not less than an annual quantity of 50,000 acre-feet into the Trinity River for the beneficial use of Humboldt County and other downstream users (Contract Water).

The Water Management Plan will outline how Contract Water should be released for the benefit of fisheries in the Trinity River and lower Klamath River, with the primary goal of expanding a harvestable surplus of Tribal, recreational, and commercial fisheries. A set of annual Contract Water release scenarios were developed during five workshops conducted in 2022 and 2023 with interested parties including Humboldt County, state and federal resource agencies, tribal representatives, Reclamation, and the U.S. Department of the Interior Solicitor’s office. A suite of modeling and technical tools was used to analyze annual conditions with and without Contract Water releases.

This Modeling Report describes the modeling tools used to assess Contract Water release scenarios, including CalSim II, HEC-5Q, RBM10, sediment transport models, Chinook Salmon habitat models, and the Stream Salmonid Simulator. Results from all models are summarized to provide a comparative overview of modeled release scenarios to modeled baseline conditions.

Mean annual Contract Water release scenarios ranged from 50,000 acre-feet to 170,000 acre-feet, and varied in timing, magnitude, and duration, though all releases were made between October and April. As shown in Table ES-1, a key finding of this modeling report is Contract Water releases that had the greatest modeled increase in Chinook Salmon abundance relative to baseline conditions included those that released 50,000 acre-feet in the fall period from October through December as pulse flows or baseflows, and those that released 170,000 acre-feet from October through April as a combination of pulse flows and baseflows. Modeled beneficial effects on populations were primarily due to either (1) increases in habitat area during the spawning life stage in October through December, which decreased redd superimposition (e.g., the process of a later arriving spawner building a redd on top of an existing redd) and improved egg survival, or (2) increases in flow during the fry emergence and juvenile rearing life stage in March through April, which increased the fry and parr carrying capacity (e.g., the upper limit for the number of fry or parr that a habitat unit can support) of individual habitat units.

Another key finding of this report is all Contract Water scenarios that released at least 50,000 acre-feet annually from Trinity Reservoir had similar effects on Trinity Reservoir storage, Central Valley Project (CVP) storage, CVP contract water deliveries, and Sacramento River water temperatures. Whether these scenarios were released annually as a fall baseflow, fall pulse flow, spring pulse flow, or spring baseflow, they all resulted in similar storage patterns in Trinity Reservoir – an annual reduction in storage relative to the baseline that was relatively small in wetter years and larger in drier years. As a result of lower Trinity Storage levels, Trinity River Division (TRD) exports to the CVP were reduced. Because the timing of exports is similar each year, reaching a peak in July through September, the reduction to exports occurred at the same time each year, independent of Contract Water release timing, resulting in similar storage, CVP delivery, and water temperature effects in the Sacramento River basin portion of the CVP. The water temperature effects on the Sacramento River were limited to the months of July and August, relatively minor, and were primarily attributed to changes in storage, release magnitude, and release temperature from Lake Shasta, and not due explicitly to inflows from the TRD.

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Ecosystem state transitions can be ecologically devastating or be a restoration success. State transitions are common within aquatic systems worldwide, especially considering human-mediated changes to land use and water use. We created a transferable conceptual framework to enable multiscale assessments of state resilience and early warnings of state transitions that can inform strategic restorations and avoid ecosystem collapse. The conceptual framework integrated machine learning predictions with ecosystem state concepts (e.g., state classification, gradients of vulnerability, and recovery potential leading to state transitions) and was devised to investigate possible environmental drivers. As an application of the framework, we generated prediction probabilities of submersed aquatic vegetation (SAV) presence at nearly 10,000 sites in the Upper Mississippi River (United States). Then, we used an interpretability method to explain model predictions to gain insights into possible environmental drivers and thresholds or linear responses of SAV presence and absence. Model accuracy was 89% without spatial bias. Average water depth, suspended solids, substrate, and distance to nearest SAV were the best predictors and likely environmental drivers of SAV habitat suitability. These environmental drivers exhibited nonlinear, threshold-type responses for SAV. All the results are also presented in an online dashboard to explore results at many spatial scales. The habitat suitability model outputs and prediction explanations from many spatial scales (4 m to 400 km of river reach) can inform research and restoration planning.

","language":"English","publisher":"Wiley","doi":"10.1111/cobi.14203","usgsCitation":"Delaney, J., and Larson, D.M., 2024, Using explainable machine learning methods to evaluate vulnerability and restoration potential of ecosystem state transitions: Conservation Biology, v. 38, no. 2, e14203, 13 p., https://doi.org/10.1111/cobi.14203.","productDescription":"e14203, 13 p.","ipdsId":"IP-141445","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":441125,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/cobi.14203","text":"Publisher Index Page"},{"id":435097,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QGD5NI","text":"USGS data release","linkHelpText":"Predictions for the presence of submersed aquatic vegetation in the upper Mississippi River, USA, from years 2010-2019"},{"id":425144,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"38","issue":"2","noUsgsAuthors":false,"publicationDate":"2024-01-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Delaney, John 0000-0003-1038-0265","orcid":"https://orcid.org/0000-0003-1038-0265","contributorId":255630,"corporation":false,"usgs":true,"family":"Delaney","given":"John","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":893637,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Danelle M. 0000-0001-6349-6267","orcid":"https://orcid.org/0000-0001-6349-6267","contributorId":228838,"corporation":false,"usgs":true,"family":"Larson","given":"Danelle","email":"","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":893638,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}