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":70251333,"text":"70251333 - 2024 - Systematic process for determining field-sampling effort required to know vegetation changes in large, disturbed rangelands where management treatments have been applied","interactions":[],"lastModifiedDate":"2024-02-07T01:17:06.668798","indexId":"70251333","displayToPublicDate":"2023-10-29T19:15:48","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Systematic process for determining field-sampling effort required to know vegetation changes in large, disturbed rangelands where management treatments have been applied","docAbstract":"Adequate numbers of replicated, dispersed, and random samples are the basis for reliable sampling inference on resources of concern, particularly vegetation cover across large and heterogenous areas such as rangelands. Tools are needed to predict and assess data precision, specifically the sampling effort required to attain acceptable levels of precision, before and after sampling. We describe and evaluate a flexible and scalable process for assessing the sampling effort requirement for a common monitoring context (responses of rangeland vegetation cover to post-fire restoration treatments), using a custom R script called “SampleRange.” In SampleRange, vegetation cover is estimated from available digital-gridded or field data (e.g., using the satellite-derived cover from the Rangeland Assessment Platform). Next, the sampling effort required to estimate cover with 20% relative standard error (RSE) or to saturate sampling effort is determined using simulations across the environmental gradients in areas of interest to estimate the number of needed plots (“SampleRange quota”). Finally, the SampleRange quota are randomly identified for actual sampling. A 2022 full-cycle trial of SampleRange using the best available digital and prior field data for areas treated after a 2017 wildfire in sagebrush-steppe rangelands revealed that differences in the predicted compared with realized RSEs are inevitable. Future efforts to account for uncertainty in remotely sensed−based vegetative products will enhance tool utility.
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":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":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":70254765,"text":"70254765 - 2024 - Intestinal lesions and parasites associated with senescence and prespawn mortality in Chinook Salmon (Oncorhynchus tshawytscha)","interactions":[],"lastModifiedDate":"2024-06-07T16:19:19.170335","indexId":"70254765","displayToPublicDate":"2023-10-27T11:14:43","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2286,"text":"Journal of Fish Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Intestinal lesions and parasites associated with senescence and prespawn mortality in Chinook Salmon (Oncorhynchus tshawytscha)","title":"Intestinal lesions and parasites associated with senescence and prespawn mortality in Chinook Salmon (Oncorhynchus tshawytscha)","docAbstract":"Prespawn mortality (PSM) presents a major problem for the recovery of spring Chinook Salmon (Oncorhynchus tshawytscha) populations. In the Willamette River, Oregon, PSM exceeds 90% in some years but factors explaining it are not well understood. We examined intestinal tissue samples using histological slides from over 783 spring Chinook Salmon collected between 2009 and 2021, which included tissues from PSM fish, artificially spawned captive broodstock (BS) and normal river run fish, comprised of trapped (Live) and naturally post-spawned river (RPS) fish collected from the river. We observed degeneration of the intestinal epithelium and loss of villous structure, with concurrent severe enteritis. A natural progression of decline in epithelial integrity (EI) through the summer and fall until spawning and subsequent death was also observed. Live fish exhibited high EI scores (mean = 68%), BS exhibited variable EI scores (35%) and RPS exhibited severe loss of EI (14%). PSM fish exhibited prominent loss of intestinal epithelium with EI scores (13%), very similar to RPS fish, despite having been collected earlier in the year. Hence, we argue that low EI scores are strongly linked with PSM. Ceratonova shasta and Enterocytozoon schreckii were common in all groups, but neither were linked to either PSM or a decline in EI.
","language":"English","publisher":"Wiley","doi":"10.1111/jfd.13876","usgsCitation":"Nervino, S., Polley, T., Peterson, J., Schreck, C., Kent, M., and Alexander, J., 2024, Intestinal lesions and parasites associated with senescence and prespawn mortality in Chinook Salmon (Oncorhynchus tshawytscha): Journal of Fish Diseases, v. 47, no. 2, e13876, 15 p., https://doi.org/10.1111/jfd.13876.","productDescription":"e13876, 15 p.","ipdsId":"IP-154620","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":467051,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jfd.13876","text":"Publisher Index Page"},{"id":429655,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-10-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Nervino, S.","contributorId":337458,"corporation":false,"usgs":false,"family":"Nervino","given":"S.","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":902444,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Polley, T.","contributorId":337460,"corporation":false,"usgs":false,"family":"Polley","given":"T.","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":902445,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":902446,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schreck, C.B.","contributorId":337463,"corporation":false,"usgs":false,"family":"Schreck","given":"C.B.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":902447,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kent, M.L.","contributorId":337466,"corporation":false,"usgs":false,"family":"Kent","given":"M.L.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":902448,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Alexander, J.D.","contributorId":337469,"corporation":false,"usgs":false,"family":"Alexander","given":"J.D.","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":902449,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"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.
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.
Most studies of Lake Michigan lake trout (Salvelinus namaycush) have focused on adults, with scant attention to juveniles (<400 mm). We explored the spatial distribution and diet of juvenile lake trout using U.S. Geological Survey September bottom trawl data (2015–2022) and stomach content information opportunistically collected since 2012 by various agencies using multiple gear types. Most juvenile lake trout in the September bottom trawl survey were caught at 37–64 m bottom depths. Length frequency data from the bottom trawl survey identified three size classes likely associated with wild juvenile lake trout age: < 85 mm (∼age-0), 85–170 mm (∼age-1) and > 170 mm (∼age-2+). Largest catches of wild lake trout < 170 mm occurred along a northeastern transect (near Frankfort, Michigan), whereas most > 170 mm were collected along southern transects. Mysis diluviana was the dominant prey for juvenile lake trout < 170 mm, and > 250 mm were primarily piscivorous, while 170–250 mm appeared to be a transitional period of switching from Mysis to fish. Species composition of prey fishes consumed by lake trout varied spatially and we found evidence of seasonal and annual diet variation within Grand Traverse Bay. Diporeia, once an important component of juvenile lake trout diet, appears to no longer be consumed by juvenile lake trout in Lake Michigan to any measurable degree. Continued research on the ecology of juvenile lake trout may provide insight into the effects of a changing ecosystem on juvenile lake trout diet and growth, thereby contributing to the effort to rehabilitate the Lake Michigan lake trout population.
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.
The isotope values of fossil snail shells can be important archives of climate. Here, we present the first carbon (δ13C) and oxygen (δ18O) isotope values of snail shells in interior Alaska to explore changes in vegetation and humidity through the late-glacial period. Snail shell δ13C values were relatively consistent through the late glacial. However, late-glacial shell δ13C values are 2.8‰ higher than those of modern shells. This offset is best explained by the Suess effect and changes in the δ13C values of snail diet. Snail shell δ18O values varied through the late glacial, which can be partially explained by changes in relative humidity (RH). RH during the snail growing period was modeled based on a published flux balance model. Results suggest a dry period toward the beginning of the Bølling–Allerød (~14 ka) followed by two distinct stages of the Younger Dryas, a wetter stage in the early Younger Dryas from 12.9 to 12.3 ka, and subsequent drier stage in the late Younger Dryas between 12.3 and 11.7 ka. The results show that land snail isotopes in high-latitude regions may be used as a supplementary paleoclimate proxy to help clarify complex climate histories, such as those of interior Alaska during the Younger Dryas.
","language":"English","publisher":"Cambridge University Press","doi":"10.1017/qua.2023.54","usgsCitation":"Nield, C.B., Yanes, Y., Reuther, J.D., Muhs, D.R., Pigati, J.S., Miller, J.D., and Druckenmiller, P.S., 2024, Late glacial–Younger Dryas climate in interior Alaska as inferred from the isotope values of land snail shells: Quaternary Research, v. 117, p. 119-134, https://doi.org/10.1017/qua.2023.54.","productDescription":"16 p.","startPage":"119","endPage":"134","ipdsId":"IP-154137","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":441108,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/qua.2023.54","text":"Publisher Index Page"},{"id":435095,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P953H59T","text":"USGS data release","linkHelpText":"Data release for Late glacial-Younger Dryas climate in interior Alaska as inferred from the isotope values of land snail shells"},{"id":421997,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -156.0371534430809,\n 65.77335808684197\n ],\n [\n -156.0371534430809,\n 63.78566011381855\n ],\n [\n -146.76263627533064,\n 63.78566011381855\n ],\n [\n -146.76263627533064,\n 65.77335808684197\n ],\n [\n -156.0371534430809,\n 65.77335808684197\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"117","noUsgsAuthors":false,"publicationDate":"2023-10-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Nield, Catherine B.","contributorId":331005,"corporation":false,"usgs":false,"family":"Nield","given":"Catherine","email":"","middleInitial":"B.","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":886466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yanes, Yurena","contributorId":197219,"corporation":false,"usgs":false,"family":"Yanes","given":"Yurena","email":"","affiliations":[],"preferred":false,"id":886467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reuther, Joshua D.","contributorId":331006,"corporation":false,"usgs":false,"family":"Reuther","given":"Joshua","email":"","middleInitial":"D.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":886468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Muhs, Daniel R. 0000-0001-7449-251X dmuhs@usgs.gov","orcid":"https://orcid.org/0000-0001-7449-251X","contributorId":1857,"corporation":false,"usgs":true,"family":"Muhs","given":"Daniel","email":"dmuhs@usgs.gov","middleInitial":"R.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":true,"id":886469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pigati, Jeffrey S. 0000-0001-5843-6219 jpigati@usgs.gov","orcid":"https://orcid.org/0000-0001-5843-6219","contributorId":201167,"corporation":false,"usgs":true,"family":"Pigati","given":"Jeffrey","email":"jpigati@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":886470,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Miller, Joshua D.","contributorId":331008,"corporation":false,"usgs":false,"family":"Miller","given":"Joshua","email":"","middleInitial":"D.","affiliations":[{"id":7159,"text":"University of Cincinnati","active":true,"usgs":false}],"preferred":false,"id":886471,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Druckenmiller, Patrick. S.","contributorId":331009,"corporation":false,"usgs":false,"family":"Druckenmiller","given":"Patrick.","email":"","middleInitial":"S.","affiliations":[{"id":6752,"text":"University of Alaska Fairbanks","active":true,"usgs":false}],"preferred":false,"id":886472,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70263861,"text":"70263861 - 2024 - Reduction of genetic diversity in ‘Alalā (Hawaiian crow; Corvus hawaiiensis) between the late 1800s and the late 1900s","interactions":[],"lastModifiedDate":"2025-02-26T21:11:36.27724","indexId":"70263861","displayToPublicDate":"2023-10-17T15:09:04","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Reduction of genetic diversity in ‘Alalā (Hawaiian crow; Corvus hawaiiensis) between the late 1800s and the late 1900s","title":"Reduction of genetic diversity in ‘Alalā (Hawaiian crow; Corvus hawaiiensis) between the late 1800s and the late 1900s","docAbstract":"Genetic and genomic data are increasingly used to aid conservation management of endangered species by providing insights into evolutionary histories, factors associated with extinction risks, and potential for future adaptation. For the ‘Alalā, or Hawaiian crow (Corvus hawaiiensis), genetic concerns include negative correlations between inbreeding and hatching success. However, it is unclear if low genetic diversity and inbreeding depression are consequences of a historical population bottleneck, or if ‘Alalā had historically low genetic diversity that predated human influence, perhaps as a result of earlier declines or founding events. In this study, we applied a hybridization-based sequence capture to generate a genome-wide single nucleotide polymorphism (SNP) dataset for comparing historical specimens collected in the 1890s, when ‘Alalā were more numerous, to samples taken between 1973 and 1998, when ‘Alalā population densities were near the lowest documented levels in the wild, prior to all individuals being collected for captive rearing. We found low genome-wide diversity in both sample groups, however, the modern sample group (1973 to 1998 cohort) exhibited relatively fewer polymorphic alleles, a lower proportion of polymorphic loci, and lower observed heterozygosity, consistent with a population decline and potential bottleneck effects. These results combined with a current low population size highlight the importance of continued efforts by conservation managers to mitigate inbreeding and maintain founder representation to preserve what genetic diversity remains.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jhered/esad063","usgsCitation":"Blanchet, G., Bellinger, M.R., Kearns, A., Cortes-Rodriguez, N., Masuda, B., Campana, M.G., Rutz, C., Fleischer, R., and Sutton, J., 2024, Reduction of genetic diversity in ‘Alalā (Hawaiian crow; Corvus hawaiiensis) between the late 1800s and the late 1900s: Journal of Heredity, v. 115, no. 1, p. 32-44, https://doi.org/10.1093/jhered/esad063.","productDescription":"13 p.","startPage":"32","endPage":"44","ipdsId":"IP-153519","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":482510,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Island of Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.66271325336368,\n 18.886427440489825\n ],\n [\n -154.73075561200312,\n 19.494541117345733\n ],\n [\n -155.18826209048927,\n 20.004873708176405\n ],\n [\n -155.86040123789476,\n 20.301808200772868\n ],\n [\n -156.07503390681424,\n 19.718012347687846\n ],\n [\n -155.9394764317072,\n 19.02531729996751\n ],\n [\n -155.66271325336368,\n 18.886427440489825\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"115","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-10-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Blanchet, Geneviève","contributorId":351501,"corporation":false,"usgs":false,"family":"Blanchet","given":"Geneviève","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":928727,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bellinger, Mona Renee 0000-0001-5274-9572","orcid":"https://orcid.org/0000-0001-5274-9572","contributorId":301018,"corporation":false,"usgs":true,"family":"Bellinger","given":"Mona","email":"","middleInitial":"Renee","affiliations":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"preferred":true,"id":928728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kearns, Anna M. 0000-0002-8502-7442","orcid":"https://orcid.org/0000-0002-8502-7442","contributorId":351502,"corporation":false,"usgs":false,"family":"Kearns","given":"Anna M.","affiliations":[{"id":84000,"text":"Smithsonian Institution, Washington DC, USA","active":true,"usgs":false}],"preferred":false,"id":928729,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cortes-Rodriguez, Nandadevi 0000-0002-2922-8012","orcid":"https://orcid.org/0000-0002-2922-8012","contributorId":351503,"corporation":false,"usgs":false,"family":"Cortes-Rodriguez","given":"Nandadevi","affiliations":[{"id":84001,"text":"Ithaca College, Ithaca, New York, USA","active":true,"usgs":false}],"preferred":false,"id":928730,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Masuda, Bryce M.","contributorId":351504,"corporation":false,"usgs":false,"family":"Masuda","given":"Bryce M.","affiliations":[{"id":65735,"text":"San Diego Zoo Wildlife Alliance","active":true,"usgs":false}],"preferred":false,"id":928731,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Campana, Michael G.","contributorId":258060,"corporation":false,"usgs":false,"family":"Campana","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":928732,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rutz, Christian 0000-0001-5187-7417","orcid":"https://orcid.org/0000-0001-5187-7417","contributorId":351505,"corporation":false,"usgs":false,"family":"Rutz","given":"Christian","affiliations":[{"id":84002,"text":"University of St Andrews, St Andrews, Scotland, UK","active":true,"usgs":false}],"preferred":false,"id":928733,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fleischer, Robert C.","contributorId":258062,"corporation":false,"usgs":false,"family":"Fleischer","given":"Robert C.","affiliations":[{"id":52221,"text":"Center for Conservation Genomics, Smithsonian Conservation Biology Institute","active":true,"usgs":false}],"preferred":false,"id":928734,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Sutton, Jolene T.","contributorId":351506,"corporation":false,"usgs":false,"family":"Sutton","given":"Jolene T.","affiliations":[{"id":37485,"text":"University of Hawai‘i - Hilo","active":true,"usgs":false}],"preferred":false,"id":928735,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"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":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","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. 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change","interactions":[],"lastModifiedDate":"2024-02-26T15:51:23.13348","indexId":"70249666","displayToPublicDate":"2023-10-16T08:54:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"Yellowstone Cutthroat Trout recovery in Yellowstone Lake: Complex interactions among invasive species suppression, disease, and climate change","docAbstract":"In Yellowstone Lake, Wyoming, the largest inland population of nonhybridized Yellowstone Cutthroat Trout Oncorhynchus clarkii bouvieri, hereafter Cutthroat Trout, declined throughout the 2000s because of predation from invasive Lake Trout Salvelinus namaycush, drought, and whirling disease Myxobolus cerebralis. To maintain ecosystem function and conserve Cutthroat Trout, a Lake Trout gill netting suppression program was established in 1995, decreasing Lake Trout abundance and biomass. Yet, the response of Cutthroat Trout to varying Lake Trout suppression levels, collectively with the influence of disease and climate, is unknown. We developed an ecosystem model (calibrated to historical data) to forecast (2020–2050) whether Cutthroat Trout would achieve recovery benchmarks given disease, varying suppression effort, and climate change. Lake Trout suppression influenced Cutthroat Trout recovery; current suppression effort levels resulted in Cutthroat Trout recovering from historical lows in the early 2000s. However, Cutthroat Trout did not achieve conservation benchmarks when incorporating the influence of disease and climate. Therefore, the National Park Service intends to incorporate age-specific abundance, spawner biomass, or both in conservation benchmarks to provide better indication of how management actions and environmental conditions influence Cutthroat Trout. Our results illustrate how complex interactions within an ecosystem must be simultaneously considered to establish and achieve realistic benchmarks for species of conservation concern.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/fsh.10998","usgsCitation":"Glassic, H.C., Chagaris, D., Guy, C.S., Tronstad, L., Lujan, D., Briggs, M., Albertson, L.K., Brenden, T., Walsworth, T., and Koel, T., 2024, Yellowstone Cutthroat Trout recovery in Yellowstone Lake: Complex interactions among invasive species suppression, disease, and climate change: Fisheries Magazine, v. 49, no. 2, p. 55-70, https://doi.org/10.1002/fsh.10998.","productDescription":"16 p.","startPage":"55","endPage":"70","ipdsId":"IP-151063","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":441118,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/fsh.10998","text":"Publisher Index Page"},{"id":422067,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Yellowstone Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -110.46571733395714,\n 44.47235042022757\n ],\n [\n -110.53049791213878,\n 44.4807323083684\n ],\n [\n -110.58103121539398,\n 44.45607208130505\n ],\n [\n -110.58770962551598,\n 44.37751467517876\n ],\n [\n -110.44968914966448,\n 44.384591552065814\n ],\n [\n -110.46171028788416,\n 44.35592153182444\n ],\n [\n -110.38824777654403,\n 44.347625632670926\n ],\n [\n -110.3446154970815,\n 44.27244868988936\n ],\n [\n -110.18967638225539,\n 44.28778395669133\n ],\n [\n -110.27872185054618,\n 44.56757967106944\n ],\n [\n -110.43455142005537,\n 44.559307436100866\n ],\n [\n -110.46571733395714,\n 44.47235042022757\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Glassic, Hayley Corrine 0000-0001-6839-1026","orcid":"https://orcid.org/0000-0001-6839-1026","contributorId":305858,"corporation":false,"usgs":true,"family":"Glassic","given":"Hayley","email":"","middleInitial":"Corrine","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":886643,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chagaris, David","contributorId":304514,"corporation":false,"usgs":false,"family":"Chagaris","given":"David","email":"","affiliations":[{"id":36221,"text":"University of Florida","active":true,"usgs":false}],"preferred":false,"id":886644,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guy, Christopher S. 0000-0002-9936-4781 cguy@usgs.gov","orcid":"https://orcid.org/0000-0002-9936-4781","contributorId":2876,"corporation":false,"usgs":true,"family":"Guy","given":"Christopher","email":"cguy@usgs.gov","middleInitial":"S.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5062,"text":"Office of the Chief Scientist for Ecosystems","active":true,"usgs":true}],"preferred":true,"id":886645,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tronstad, Lusha M.","contributorId":224819,"corporation":false,"usgs":false,"family":"Tronstad","given":"Lusha M.","affiliations":[{"id":40947,"text":"Wyoming Natural Diversity Database, University of Wyoming, Laramie, WY, USA","active":true,"usgs":false}],"preferred":false,"id":886646,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lujan, Dominique R.","contributorId":286901,"corporation":false,"usgs":false,"family":"Lujan","given":"Dominique R.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":886647,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Briggs, Michelle A.","contributorId":286899,"corporation":false,"usgs":false,"family":"Briggs","given":"Michelle A.","affiliations":[{"id":36555,"text":"Montana State University","active":true,"usgs":false}],"preferred":false,"id":886648,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Albertson, Lindsey K.","contributorId":218803,"corporation":false,"usgs":false,"family":"Albertson","given":"Lindsey","email":"","middleInitial":"K.","affiliations":[{"id":39916,"text":"Montana State University, Bozeman, Montana","active":true,"usgs":false}],"preferred":false,"id":886649,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Brenden, Travis O.","contributorId":276046,"corporation":false,"usgs":false,"family":"Brenden","given":"Travis O.","affiliations":[{"id":36244,"text":"MSU","active":true,"usgs":false}],"preferred":false,"id":886650,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Walsworth, Timothy E.","contributorId":275032,"corporation":false,"usgs":false,"family":"Walsworth","given":"Timothy E.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":886651,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Koel, Todd M.","contributorId":278608,"corporation":false,"usgs":false,"family":"Koel","given":"Todd M.","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":886652,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70250003,"text":"70250003 - 2024 - Warming experiments test the temperature sensitivity of an endangered butterfly across life history stages","interactions":[],"lastModifiedDate":"2025-02-10T14:38:37.679784","indexId":"70250003","displayToPublicDate":"2023-10-16T07:24:22","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2356,"text":"Journal of Insect Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Warming experiments test the temperature sensitivity of an endangered butterfly across life history stages","docAbstract":"The Karner blue butterfly (Lycaeides melissa samuelis) (hereafter Karner blue) is a federally listed endangered species occurring in disjunct locations within the Midwest and Eastern United States. As a hostplant specialist and an ectotherm, the Karner blue is likely to be susceptible to effects of climate change. We undertook warming experiments to explore the temperature sensitivity of various Karner blue life history stages and traits. Over a two-year period, we exposed all Karner blue life stages to temperature increases of + 2, + 4, and + 6 °C above 1952–1999 mean temperatures. We analyzed the effect of these treatments on life history parameters likely related to fitness and population size, including development time, voltinism, degree-day accumulation, body weight, and morphology. Warming treatments resulted in earlier emergence and accelerated development, leading to additional generations. Warming also increased the number of degree-days accumulated during pre-adult development (i.e., egg hatch to eclosion). Results suggest that Karner blues developed in fewer days, in part, by putting on less mass as temperatures increased. As treatment temperature increased, adult body mass, length, and area decreased and voltinism increased. Females with lower adult mass and smaller body size produced fewer eggs. These results suggest a trade-off between accelerated development and decreased body size with decrease in adult mass and abdominal area being associated with reduced fecundity.
","language":"English","publisher":"Springer","doi":"10.1007/s10841-023-00518-3","usgsCitation":"Bristow, L., Grundel, R., Dzurisin, J., Li, Y., Hildreth, A., and Hellmann, J., 2024, Warming experiments test the temperature sensitivity of an endangered butterfly across life history stages: Journal of Insect Conservation, v. 28, p. 1-13, https://doi.org/10.1007/s10841-023-00518-3.","productDescription":"13 p.; Data Release","startPage":"1","endPage":"13","ipdsId":"IP-135632","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":441869,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10841-023-00518-3","text":"Publisher Index Page"},{"id":435148,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P967LATZ","text":"USGS data release","linkHelpText":"Effects of warming on development rates on Karner Blue Butterfly laboratory data (2011-2012)"},{"id":422517,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"28","noUsgsAuthors":false,"publicationDate":"2023-10-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Bristow, Lainey","contributorId":331510,"corporation":false,"usgs":false,"family":"Bristow","given":"Lainey","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":887940,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grundel, Ralph 0000-0002-2949-7087 rgrundel@usgs.gov","orcid":"https://orcid.org/0000-0002-2949-7087","contributorId":2444,"corporation":false,"usgs":true,"family":"Grundel","given":"Ralph","email":"rgrundel@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":887941,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dzurisin, Jason","contributorId":331511,"corporation":false,"usgs":false,"family":"Dzurisin","given":"Jason","email":"","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":887942,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Li, Yudi","contributorId":331512,"corporation":false,"usgs":false,"family":"Li","given":"Yudi","email":"","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":887943,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hildreth, Andrew","contributorId":331513,"corporation":false,"usgs":false,"family":"Hildreth","given":"Andrew","email":"","affiliations":[{"id":13399,"text":"UCLA","active":true,"usgs":false}],"preferred":false,"id":887944,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hellmann, Jessica","contributorId":331514,"corporation":false,"usgs":false,"family":"Hellmann","given":"Jessica","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":887945,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70254770,"text":"70254770 - 2024 - Genomic insights into isolation of the threatened Florida crested caracara (Caracara plancus)","interactions":[],"lastModifiedDate":"2024-06-07T11:51:38.687513","indexId":"70254770","displayToPublicDate":"2023-10-14T06:47:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2333,"text":"Journal of Heredity","active":true,"publicationSubtype":{"id":10}},"title":"Genomic insights into isolation of the threatened Florida crested caracara (Caracara plancus)","docAbstract":"We conducted a population genomic study of the crested caracara (Caracara plancus) using samples (n = 290) collected from individuals in Florida, Texas, and Arizona, United States. Crested caracaras are non-migratory raptors ranging from the southern tip of South America to the southern United States, including a federally protected relict population in Florida long thought to have been isolated since the last ice age. Our objectives were to evaluate genetic diversity and population structure of Florida’s apparently isolated population and to evaluate taxonomic relationships of crested caracaras at the northern edge of their range. Using DNA purified from blood samples, we conducted double-digest restriction site associated DNA sequencing and sequenced the mitochondrial ND2 gene. Analyses of population structure using over 9,000 SNPs suggest that two major clusters are best supported, one cluster including only Florida individuals and the other cluster including Arizona and Texas individuals. Both SNPs and mitochondrial haplotypes reveal the Florida population to be highly differentiated genetically from Arizona and Texas populations, whereas, Arizona and Texas populations are moderately differentiated from each other. The Florida population’s mitochondrial haplotypes form a separate monophyletic group, while Arizona and Texas populations share mitochondrial haplotypes. Results of this study provide substantial genetic evidence that Florida’s crested caracaras have experienced long-term isolation from caracaras in Arizona and Texas and thus, represent a distinct evolutionary lineage possibly warranting distinction as an Evolutionarily Significant Unit (ESU) or subspecies. This study will inform conservation strategies focused on long-term survival of Florida’s distinct, panmictic population.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/jhered/esad057","usgsCitation":"Payne, N., Erwin, J.A., Morrison, J.L., Dwyer, J.F., and Culver, M., 2024, Genomic insights into isolation of the threatened Florida crested caracara (Caracara plancus): Journal of Heredity, v. 115, no. 1, p. 45-56, https://doi.org/10.1093/jhered/esad057.","productDescription":"12 p.","startPage":"45","endPage":"56","ipdsId":"IP-157635","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":498479,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/10150/671235","text":"External Repository"},{"id":429624,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"115","issue":"1","noUsgsAuthors":false,"publicationDate":"2023-10-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Payne, Natalie","contributorId":287191,"corporation":false,"usgs":false,"family":"Payne","given":"Natalie","email":"","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":902557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erwin, John A.","contributorId":275259,"corporation":false,"usgs":false,"family":"Erwin","given":"John","email":"","middleInitial":"A.","affiliations":[{"id":40855,"text":"UA","active":true,"usgs":false}],"preferred":false,"id":902558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Morrison, Joan L.","contributorId":169993,"corporation":false,"usgs":false,"family":"Morrison","given":"Joan","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":902559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dwyer, James F.","contributorId":169992,"corporation":false,"usgs":false,"family":"Dwyer","given":"James","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":902560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Culver, Melanie 0000-0001-5380-3059 mculver@usgs.gov","orcid":"https://orcid.org/0000-0001-5380-3059","contributorId":197693,"corporation":false,"usgs":true,"family":"Culver","given":"Melanie","email":"mculver@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902561,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70259508,"text":"70259508 - 2024 - Hydrologic, water operations, reservoir temperature, river temperature, sediment transport, habitat, and fish population modeling for the Trinity 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.
","language":"English","publisher":"Stantec Consulting Services Inc.","usgsCitation":"Plumb, J., Perry, R., and Stantec Consulting Services Inc., 2024, Hydrologic, water operations, reservoir temperature, river temperature, sediment transport, habitat, and fish population modeling for the Trinity River Water Management Plan: Modeling Report Plan Project no. 251008, xi, 111 p.","productDescription":"xi, 111 p.","ipdsId":"IP-154221","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":462767,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://humboldtgov.org/DocumentCenter/","linkFileType":{"id":5,"text":"html"}},{"id":462795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Humboldt County","otherGeospatial":"Trinity River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -124.10894911119672,\n 41.54543340405891\n ],\n [\n -124.10894911119672,\n 40.712352880278644\n ],\n [\n -123.18492172676612,\n 40.712352880278644\n ],\n [\n -123.18492172676612,\n 41.54543340405891\n ],\n [\n -124.10894911119672,\n 41.54543340405891\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Plumb, John M. 0000-0003-4255-1612","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":220178,"corporation":false,"usgs":true,"family":"Plumb","given":"John","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":915539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":915540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stantec Consulting Services Inc.","contributorId":345093,"corporation":true,"usgs":false,"organization":"Stantec Consulting Services Inc.","id":915623,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70249648,"text":"70249648 - 2024 - Progradational-to-retrogradational styles of Palaeogene fluvial fan successions in the San Juan Basin, New Mexico","interactions":[],"lastModifiedDate":"2024-01-24T17:49:26.019502","indexId":"70249648","displayToPublicDate":"2023-10-12T08:47:43","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":17062,"text":"Journal of Basin Research","active":true,"publicationSubtype":{"id":10}},"title":"Progradational-to-retrogradational styles of Palaeogene fluvial fan successions in the San Juan Basin, New Mexico","docAbstract":"Basin-scale outcrop analyses of fluvial architecture in the Palaeogene San Juan Basin, New Mexico, document lateral and vertical trends in channel, floodplain and palaeosol characteristics. Herein, the uppermost part of the Palaeocene Nacimiento Formation and lower Eocene Cuba Mesa and Regina Members of the San Jose Formation are identified as deposits of large fluvial fans based on trends observed across the basin. Stratigraphic trends suggest two packages originated by fluvial fan progradation. Progradation of the lower fan system provides a new explanation for the transitional nature of a disconformity at the Nacimiento–San Jose Formation contact, previously thought to be a low-angle unconformity. The two fan systems are separated by a retrogradational interval that culminates in a depositional hiatus at the contact between the Cuba Mesa and Regina Members. This, combined with poor age constraints, indicates that the duration of the disconformity at the base of the Cuba Mesa Member may have been overestimated. Furthermore, the succession is interpreted as deposits of variable-discharge rivers, based on the combined abundance of upper flow regime and high deposition rate sedimentary structures indicative of intense flooding events, preservation of in-channel bioturbation and paedogenic modification indicating periods of prolonged dryness, lack of identifiable bar strata and alternations of poorly drained and well-drained floodplain deposits with pedofacies indicating alternating wet–dry cycles. This dataset adds to a growing body of evidence linking the formation of large fluvial fans to discharge variability and thus to hydroclimates with significant inter- and intra-annual precipitation variability and intense rainfall. A long-term stratigraphic shift from poorly drained to well-drained floodplain deposits across two progradational fan successions indicates that a predictive model suggesting downstream decreases in soil drainage conditions is not encompassing of all large fan systems, and instead suggests a transition to a more arid climate across the Palaeocene–Eocene boundary.
Long-term ecological studies are invaluable for detecting changes over time. Forest restoration has been a conservation priority in Hawaiʻi, where invasive species have negatively impacted native bird habitat. During 1993–1994, a study was conducted of Hawaiʻi ʻelepaio (Chasiempis sandwichensis) nest site selection and forest composition in mesic montane forest along Mauna Loa Road in Hawaiʻi Volcanoes National Park. We returned to the site and repeated the methods used in the earlier study to record Hawaiʻi ʻelepaio nest site selection (tree species, tree and nest height, and tree girth [diameter at breast height, DBH]) from 2015 to 2017, and measured forest composition (tree density, relative abundance, height, and DBH) in 2019. Three times as many nests were found in ʻaʻaliʻi (Dodonaea viscosa) as in koa (Acacia koa) in both time periods. Heights of koa and ʻaʻaliʻi did not change, but their DBH increased over time. The relative height of nests in ʻaʻaliʻi trees did not change, but nests in koa were placed higher in the crown during the later study. Overall tree density increased from 1,619 (95% confidence interval [CI] = 1,499–1,740) trees/ha to 2,583 (95% CI = 2,176–3,096) trees/ha. Koa relative abundance was 53% of total trees earlier and 45% later, ʻaʻaliʻi remained at 47%, and māmane (Sophora chrysophylla) increased from 0 to 8% over time. Our results indicate that changes in forest composition affect nesting behavior, but in ways that are not necessarily simple or consistent.
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.
Long-term monitoring of water quality responses to natural and anthropogenic perturbation of watersheds informs policies for managing natural resources. Dissolved organic carbon (DOC) and nitrate (NO3−) in streams draining forested landscapes provide valuable information on ecosystem function due to their biogeochemical reactivity and solubility in water. Here we evaluate a 20-year record (2001−2021) of biweekly stream-water samples (n > 3000) and continuous discharge in three forested catchments in the Adirondack region of New York to investigate and interpret long-term trends in DOC and NO3− concentrations. Results from the intensively monitored catchments were compared with data from synoptic surveys of streams throughout the Adirondack region. A weighted regressions on time, discharge, and season (WRTDS) model, used to estimate daily flow-normalized concentrations, determined that DOC increased by ~30 to 50 % while NO3− decreased by ~50 to 70 % over the study period. The large amount of data from catchments with different soil properties permitted us to assess the relative effects of hydrology, season, and land cover factors on temporal trends in DOC and NO3− concentrations. We found weak evidence of climatic forcing of long-term increases in DOC, and instead contend that declining ionic strength in precipitation linked to declining anthropogenic acid deposition is driving DOC trends in stream waters. Nitrate concentrations were more variable but clearly decreased in recent years possibly related to declining N deposition. The recent increase in DOC:NO3− in all catchments indicates a major shift in stream stoichiometry that reflects changes in ecosystem functioning that may have important biogeochemical implications for terrestrial as well as aquatic ecosystems.
Some graylings Thymallus spp. possess an elongated dorsal fin and other morphological traits that can be sexually dimorphic, as demonstrated in the European Grayling T. thymallus. North American Arctic Grayling T. arcticus are assumed to follow these trends, but decisive evidence is lacking. This study aimed to determine whether sexually dimorphic characteristics, including posterior dorsal height, can be used to accurately predict the sex of Arctic Grayling in Interior Alaska.
We used computer imaging software to measure 22 morphometrics on 97 Arctic Grayling of known sex from streams in Interior Alaska, and we developed a set of binomial models to evaluate the validity of morphometrics as predictors of Arctic Grayling sex.
Posterior dorsal height was a reasonably accurate predictor of sex (~90% accurate at fork lengths ≥300 mm), although models containing additional morphometrics were more accurate (100% accuracy at fork lengths ≥250 mm).
This study presents an affordable, noninvasive, and replicable method for nonlethal determination of Arctic Grayling sex by using digital images from the field, with potential application to other salmonids.
No abstract available.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10950","usgsCitation":"Perkin, J.S., Brewer, S.K., Echelle, A.A., and Kocovsky, P.M., 2024, Avoiding a macabre future for Macrhybopsis: A special section on improving management and conservation of chubs: North American Journal of Fisheries Management, v. 43, no. 5, p. 1145-1150, https://doi.org/10.1002/nafm.10950.","productDescription":"6 p.","startPage":"1145","endPage":"1150","ipdsId":"IP-156599","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":441136,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/nafm.10950","text":"Publisher Index Page"},{"id":432367,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-10-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Perkin, Joshuah S.","contributorId":340917,"corporation":false,"usgs":false,"family":"Perkin","given":"Joshuah","email":"","middleInitial":"S.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":907678,"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":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Echelle, Anthony A.","contributorId":340918,"corporation":false,"usgs":false,"family":"Echelle","given":"Anthony","email":"","middleInitial":"A.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":907680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kocovsky, Patrick M. 0000-0003-4325-4265 pkocovsky@usgs.gov","orcid":"https://orcid.org/0000-0003-4325-4265","contributorId":3429,"corporation":false,"usgs":true,"family":"Kocovsky","given":"Patrick","email":"pkocovsky@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true},{"id":251,"text":"Ecosystems Mission Area","active":false,"usgs":true}],"preferred":true,"id":907681,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}