Periodical cicada emergences can positively affect vertebrate reproduction and breeding behavior, yet this response is not well studied for bats. We examined the acoustic response of 6 species/phonic groups of bats in 2021 to the emergence of Brood X periodical cicadas, along the Potomac River corridor, in Maryland and Virginia. Using a before-after-control-impact study design, we deployed ultrasonic acoustic detectors during the summers of 2020–2022 within and just outside the range of the cicada emergence to document bat response. We observed significantly more echolocation passes during the 2021 emergence and the year following within the range of cicadas, relative to changes among years outside of the periodical cicada range. Our study demonstrates that periodical cicadas may serve as a resource that causes an increase in bat activity.
","language":"English","publisher":"Eagle Hill Instutute","usgsCitation":"Litterer, A.S., Freeze, S.R., and Ford, W., 2025, Acoustic response of bats to the Brood X Periodical Cicada (Magicicada spp.) emergence: Journal of North American Bat Research, v. 10, p. 1-18.","productDescription":"18 p.","startPage":"1","endPage":"18","ipdsId":"IP-165279","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":497518,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497510,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.eaglehill.us/NABRonline/NABRregular.shtml"}],"country":"United States","state":"Maryland, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -78.58223294377517,\n 39.701947715006554\n ],\n [\n -78.58223294377517,\n 38.979121120266115\n ],\n [\n -77.3562241672517,\n 38.979121120266115\n ],\n [\n -77.3562241672517,\n 39.701947715006554\n ],\n [\n -78.58223294377517,\n 39.701947715006554\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"10","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Litterer, Amber S.","contributorId":364183,"corporation":false,"usgs":false,"family":"Litterer","given":"Amber","middleInitial":"S.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":952297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Freeze, Samuel R.","contributorId":364184,"corporation":false,"usgs":false,"family":"Freeze","given":"Samuel","middleInitial":"R.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":952298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ford, W. Mark 0000-0002-9611-594X wford@usgs.gov","orcid":"https://orcid.org/0000-0002-9611-594X","contributorId":172499,"corporation":false,"usgs":true,"family":"Ford","given":"W. Mark","email":"wford@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":false,"id":952299,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272614,"text":"70272614 - 2025 - Deformation mechanisms in quartz veins and shear zones elucidate the origin of gold mineralization at Pogo, Alaska","interactions":[],"lastModifiedDate":"2025-11-25T22:13:55.158426","indexId":"70272614","displayToPublicDate":"2025-10-01T09:02:53","publicationYear":"2025","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Deformation mechanisms in quartz veins and shear zones elucidate the origin of gold mineralization at Pogo, Alaska","docAbstract":"Pogo is a quartz vein hosted, ca. 8 Moz gold deposit. Although it has similarities to orogenic and magmatic-hydrothermal deposits, its origin remains enigmatic. Observations from surface exposures, underground workings, and drill core provide new constraints on quartz vein origins with implications for mineralization. Abundant, largely barren metamorphic segregation quartz veins are found throughout interior Alaska and share characteristics with mineralized quartz veins at Pogo. Pogo quartz veins show crystal plastic deformation fabrics consistent with greenschist to amphibolite facies metamorphism and a lack of internal shear. In contrast, gold in Pogo quartz veins occurs in brittle microfaults and fractures with sulphides such as arsenopyrite and pyrrhotite. Major and minor cataclastic shear zones also exist at Pogo. Cataclastic shear zones commonly cut the mineralized quartz veins and porphyroclasts are dominated by quartz with the same plastic deformation fabrics found in the major Pogo quartz veins. The porphyroclasts, and the carbonaceous clay-rich matrix they sit in, also contain gold indicating that the shear zones postdate quartz and earliest gold deposition. These observations suggest that competency contrasts between the quartz veins and their phyllosilicate-rich host rocks controlled transient permeability formed by late, preferential brittle deformation events localizing sulphide ± gold deposition.
","conferenceTitle":"18th SGA Biennial Meeting","conferenceDate":"August 3-7, 2025","conferenceLocation":"Golden, CO","language":"English","publisher":"Society for Geology Applied to Mineral Deposits (SGA)","usgsCitation":"Caine, J., Kreiner, D.C., and Lowers, H.A., 2025, Deformation mechanisms in quartz veins and shear zones elucidate the origin of gold mineralization at Pogo, Alaska, 18th SGA Biennial Meeting, v. 1, Golden, CO, August 3-7, 2025, p. 285-288.","productDescription":"4 p.","startPage":"285","endPage":"288","ipdsId":"IP-176857","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":496820,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.e-sga.org/publications/conference-proceedings"},{"id":496821,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","volume":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":950948,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":950949,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":950950,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272235,"text":"70272235 - 2025 - A systematic literature review of forecasting and predictive models of harmful algal blooms in flowing waters","interactions":[],"lastModifiedDate":"2025-11-19T15:10:27.951072","indexId":"70272235","displayToPublicDate":"2025-10-01T09:02:45","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":19846,"text":"BioRxiv","active":true,"publicationSubtype":{"id":32}},"title":"A systematic literature review of forecasting and predictive models of harmful algal blooms in flowing waters","docAbstract":"Occurrences of harmful algal blooms (HABs) in rivers challenge the belief that rivers are not susceptible to HABs because of their short residence times and fluctuating hydrology. Here we present a systematic literature review of predictive and forecasting models for HABs in flowing waters, including rivers, flowing in-stream reservoirs (e.g., run-of-river reservoirs and lock-and-dam systems) and tidal or estuarine systems with riverine processes. The review aimed to understand current and historical modeling approaches for predicting and forecasting river HABs, without restricting to specific taxa, such as cyanobacteria, or modeling endpoints. The review included 162 articles published over nearly 50 years, covering more than 80 rivers worldwide. Eutrophic, non-wadable rivers with in-stream obstruction were commonly modeled, though diverse environmental characteristics were reported. Most articles used algal biomass or chlorophyll as modeling endpoints, with a quarter using novel or unique endpoints. Algal toxins motivated model development in 23% of the articles, however just 5% used algal toxins as an endpoint. Only 6% of the articles modeled benthic HABs; the rest focused on pelagic HABs. There was no standard model used for modeling river HABs. Process-based models were more common (59%) than data-driven approaches (37%), with model formulations ranging from simple to complex, which contrasts with a lake-focused literature review of HAB models that found data-driven models were more common. Models in river settings shared similar input variables as those previously identified for lakes, such as water temperature, nutrients, and light availability. However, streamflow and other transport metrics took prominence in river models compared to lake models. Algal cell physiology (such as growth, predation, and motility) was routinely included as input data or as mathematical formulations in process-based models and these processes were frequently identified as an important predictor by the articles’ authors. Conversely, data-driven models rarely included these processes, instead using predictors related to environmental conditions, such as nutrients, water quality, water temperature, and streamflow. These important proxy predictors have apparent success with modeling overall algal biomass (irrespective of taxa) whereas other factors, such as those related to algal physiology and other biological processes, are likely responsible for more subtle shifts in community composition. These differences highlight the influence of data availability, especially for processes that are difficult, time-consuming, or expensive to measure, on model development and model outcomes, raising questions about the selection of modeling inputs and endpoints. Challenges to advancing river HAB modeling include the lack of site-specific model inputs representing key processes (e.g., photosynthetic parameters and predation rates), overlooked riverine environments like the benthos and side/back-channel areas, lack of information on environmental settings, and poorly reported model performance metrics. This review emphasizes opportunities for advancing river HAB modeling by learning from well-honed estuarine models, supporting current forecasting and operationalization efforts, and developing common datasets for river HAB model development and evaluation.
","language":"English","publisher":"BioRxiv","doi":"10.1101/2025.09.29.679270","usgsCitation":"Murphy, J.C., Gorney, R.M., Lucas, L., Zwart, J.A., and Graham, J.L., 2025, A systematic literature review of forecasting and predictive models of harmful algal blooms in flowing waters: BioRxiv, https://doi.org/10.1101/2025.09.29.679270.","productDescription":"52 p.","ipdsId":"IP-179513","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":496741,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2025.09.29.679270","text":"External Repository"},{"id":496628,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Murphy, Jennifer C. 0000-0002-0881-0919 jmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-0881-0919","contributorId":4281,"corporation":false,"usgs":true,"family":"Murphy","given":"Jennifer","email":"jmurphy@usgs.gov","middleInitial":"C.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gorney, Rebecca Michelle 0000-0003-4406-261X","orcid":"https://orcid.org/0000-0003-4406-261X","contributorId":317259,"corporation":false,"usgs":true,"family":"Gorney","given":"Rebecca","email":"","middleInitial":"Michelle","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":950535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lucas, Lisa 0000-0001-7797-5517 llucas@usgs.gov","orcid":"https://orcid.org/0000-0001-7797-5517","contributorId":260498,"corporation":false,"usgs":true,"family":"Lucas","given":"Lisa","email":"llucas@usgs.gov","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":950536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zwart, Jacob Aaron 0000-0002-3870-405X","orcid":"https://orcid.org/0000-0002-3870-405X","contributorId":237809,"corporation":false,"usgs":true,"family":"Zwart","given":"Jacob","email":"","middleInitial":"Aaron","affiliations":[{"id":37316,"text":"WMA - Integrated Information Dissemination Division","active":true,"usgs":true}],"preferred":true,"id":950537,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Graham, Jennifer L. 0000-0002-6420-9335 jlgraham@usgs.gov","orcid":"https://orcid.org/0000-0002-6420-9335","contributorId":202923,"corporation":false,"usgs":true,"family":"Graham","given":"Jennifer","email":"jlgraham@usgs.gov","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":950538,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70273492,"text":"70273492 - 2025 - Testicular neoplasms and other abnormalities in common carp Cyprinus carpio from the Lower Colorado River, United States","interactions":[],"lastModifiedDate":"2026-01-21T14:41:25.091826","indexId":"70273492","displayToPublicDate":"2025-10-01T09:01:02","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5762,"text":"Animals","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Testicular neoplasms and other abnormalities in common carp Cyprinus carpio from the Lower Colorado River, United States","title":"Testicular neoplasms and other abnormalities in common carp Cyprinus carpio from the Lower Colorado River, United States","docAbstract":"Abnormalities were observed in the testes of common carp Cyprinus carpio collected from Willow Beach, Arizona, USA, a site on the lower Colorado River, downstream of Lake Mead and Hoover Dam. Testicular tissue collected from this site in 2003 exhibited numerous large, pigmented macrophage aggregates (MAs) and a novel, previously undescribed hypertrophy and proliferation of putative Sertoli cells. In testes samples collected in 2007, numerous testicular MA, testicular oocytes, and proliferations of Sertoli cells were observed. Three carp collected in 2007 also had raised nodules within the testes, and, microscopically, seminoma, spermatogenic seminoma, and mixed stromal cell–germ cell neoplasms were diagnosed. Several risk factors for these adverse effects were identified. Carp collected at this site in 2003 ranged in age from 35 to 54 years and had the oldest mean age of the thirteen sites sampled within the Colorado River basin. This site also has an unusual thermal regime when compared to other sites studied in Lake Mead and upstream sites, in that temperatures varied little over the seasons (amplitude around 1.5 °C) and barely reached 15 °C. Additionally, carp from this site had the highest total polychlorinated biphenyl (PCB) body burden. Hence, advanced age, low water temperature, and exposure to PCBs and other environmental contaminants may contribute to the observed abnormalities, highlighting the complex environmental factors initiating pre-neoplastic and neoplastic changes in wild carp.
","language":"English","publisher":"MDPI","doi":"10.3390/ani15192887","usgsCitation":"Blazer, V., Goodbred, S.L., Walsh, H.L., Wichman, D., Johnson, D., and Patino, R., 2025, Testicular neoplasms and other abnormalities in common carp Cyprinus carpio from the Lower Colorado River, United States: Animals, v. 15, no. 19, 2887, 15 p., https://doi.org/10.3390/ani15192887.","productDescription":"2887, 15 p.","ipdsId":"IP-180041","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":498926,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ani15192887","text":"Publisher Index Page"},{"id":498778,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Willow Beach","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -114.69161558714228,\n 35.89140842150485\n ],\n [\n -114.69161558714228,\n 35.8623130396342\n ],\n [\n -114.64784912081029,\n 35.8623130396342\n ],\n [\n -114.64784912081029,\n 35.89140842150485\n ],\n [\n -114.69161558714228,\n 35.89140842150485\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"15","issue":"19","noUsgsAuthors":false,"publicationDate":"2025-10-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Blazer, Vicki S. 0000-0001-6647-9614","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":349694,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki S.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":953927,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goodbred, Steven L.","contributorId":365206,"corporation":false,"usgs":false,"family":"Goodbred","given":"Steven","middleInitial":"L.","affiliations":[{"id":87075,"text":"USGS CWSC (retired)","active":true,"usgs":false}],"preferred":false,"id":953928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":953929,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wichman, Dylan","contributorId":365207,"corporation":false,"usgs":false,"family":"Wichman","given":"Dylan","affiliations":[{"id":87076,"text":"USGS EESC","active":true,"usgs":false}],"preferred":false,"id":953930,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":203921,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":953931,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Patino, Renaldo 0000-0002-4831-8400","orcid":"https://orcid.org/0000-0002-4831-8400","contributorId":353646,"corporation":false,"usgs":false,"family":"Patino","given":"Renaldo","affiliations":[{"id":12701,"text":"US Geological Survey","active":true,"usgs":false}],"preferred":false,"id":953932,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70272144,"text":"70272144 - 2025 - Fall 2025","interactions":[],"lastModifiedDate":"2025-11-17T14:58:37.433516","indexId":"70272144","displayToPublicDate":"2025-10-01T08:54:54","publicationYear":"2025","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":10521,"text":"RAMPS Newsletter","active":true,"publicationSubtype":{"id":30}},"title":"Fall 2025","docAbstract":"In this newsletter, we are excited to share our recent publication, Bridging theory and practice to inform seed selection for restoration, which is part of an ongoing collaborative effort with land managers and restoration practitioners to synthesize lessons learned and identify future research directions for native seed development and use in the U.S. We would also like to say thank you to Sarah Costanzo, who was instrumental to RAMPS field work for the past three years and is starting a PhD program in Environmental and Forest Sciences at the University of Washington. As always, please reach out with questions or collaboration opportunities for research and restoration in the Southwest.
","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Shriver, L.C., 2025, Fall 2025: RAMPS Newsletter, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-183181","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":496535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496525,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cms.usgs.gov/centers/southwest-biological-science-center/news/ramps-newsletter-fall-2025"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Shriver, Laura Cecilia 0009-0008-5567-0868","orcid":"https://orcid.org/0009-0008-5567-0868","contributorId":334175,"corporation":false,"usgs":true,"family":"Shriver","given":"Laura","email":"","middleInitial":"Cecilia","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":950221,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70272045,"text":"70272045 - 2025 - Water temperature analysis of the North Branch Au Sable River, Michigan, and implications to salmonid populations","interactions":[],"lastModifiedDate":"2025-11-14T15:00:58.935639","indexId":"70272045","displayToPublicDate":"2025-10-01T08:46:21","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":2,"text":"State or Local Government Series"},"seriesTitle":{"id":19873,"text":"Fisheries Report","active":true,"publicationSubtype":{"id":2}},"seriesNumber":"47","title":"Water temperature analysis of the North Branch Au Sable River, Michigan, and implications to salmonid populations","docAbstract":"Ambient stream water temperatures affect salmonid movement and survival with fish actively seeking thermal refugia from warming waters. This study sought to investigate the potential role of water temperature in the perceived decline in native Brook Trout Salvelinus fontinalis and non-native Brown Trout Salmo trutta populations in the North Branch Au Sable River by fishers and reported to resource managers in 2018 and 2019. Water temperature was analyzed at nine stations within the North Branch Au Sable River in 2021 and 2022. A total of 61,390 temperature observations were collected with 58.0% exceeding the optimal growth threshold for Brook Trout of 16°C; 37.9% exceeding the movement threshold for Brook Trout of 18°C; 3.4% exceeding the upper limit for positive growth for Brook Trout of 23.4°C; and 28.6% exceeding the optimal growth threshold for Brown Trout of 19°C. The maximum daily water temperatures recorded for each year were 27.58°C in 2021 and 26.89°C in 2022. The availability of cold water thermal refugia is critical to the viability of native Brook Trout populations in the North Branch Au Sable River and its tributaries. Efforts should be taken to increase ambient stream water temperature monitoring year-round and to determine the size, frequency, and availability of thermal refugia within the watershed to increase the likelihood of a system resilient to the impacts of a warming climate.
","language":"English","publisher":"State of Michigan, Department of Natural Resources","usgsCitation":"Watson, N.M., Hayes, D.B., and Godby, N., 2025, Water temperature analysis of the North Branch Au Sable River, Michigan, and implications to salmonid populations: Fisheries Report 47, 27 p.","productDescription":"27 p.","ipdsId":"IP-170450","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":496475,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":496441,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://iffr.mlasolutions.com/"}],"country":"United States","state":"Michigan","otherGeospatial":"North Branch Au Sable River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -84.81284035831224,\n 45.1\n ],\n [\n -84.81284035831224,\n 44.25\n ],\n [\n -83.28405994697454,\n 44.25\n ],\n [\n -83.28405994697454,\n 45.1\n ],\n [\n -84.81284035831224,\n 45.1\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Watson, Nicole M. 0000-0002-9424-7615 nwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-9424-7615","contributorId":5853,"corporation":false,"usgs":true,"family":"Watson","given":"Nicole","email":"nwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":949839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hayes, Daniel B. 0000-0002-8132-4749","orcid":"https://orcid.org/0000-0002-8132-4749","contributorId":362025,"corporation":false,"usgs":false,"family":"Hayes","given":"Daniel","middleInitial":"B.","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":949840,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Godby, Neal","contributorId":102295,"corporation":false,"usgs":true,"family":"Godby","given":"Neal","affiliations":[],"preferred":false,"id":949841,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70273159,"text":"70273159 - 2025 - Texas coastal wetland surface elevation static survey campaign report","interactions":[],"lastModifiedDate":"2025-12-17T14:50:42.729443","indexId":"70273159","displayToPublicDate":"2025-10-01T08:44:18","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Texas coastal wetland surface elevation static survey campaign report","docAbstract":"Surface elevation data along the Texas Coast is limited, despite having some of the highest rates of relative sea-level rise in the country (Sweet et al., 2022). To narrow these knowledge and data gaps, the U.S. Fish and Wildlife Service (USFWS) established the first landscape-scale rod surface elevation table (RSET) monitoring project aimed at examining surface elevation dynamics of coastal marshes in Texas (Moon et al., 2022). The project, conducted cooperatively between the USFWS and the U.S. Geological Survey (USGS), has focused on 14 coastal marsh sites located within five National Wildlife Refuges (Figure 1). The main objective of this project’s RSET data collection is to quantify the impacts of sea-level rise on coastal properties owned by the USFWS and similar surrounding areas. Data from RSETs will be used to determine areas that are at the greatest risk for potential habitat loss and degradation by examining subsidence and accretion rates. However, for the RSET data to be tied into the national vertical datum of 1988 (NAVD88) and, therefore, linked to the relative sea-level change calculations, it is necessary to establish primary vertical control at each study site through highly accurate and precise global navigation satellite systems (GNSS) surveys. Having a clear methodology for standardization is important for quality data. This report focuses on the methods, with particular emphasis on post-processing, used to survey benchmarks for the RSET data collection along the Texas Coast for the USFWS. Furthermore, this report serves as a general reference guide on the technical aspects of performing and processing GNSS surveys within the Texas coastal refuges to maintain quality and consistency.
","language":"English","publisher":"U.S. Fish and Wildlife Service","usgsCitation":"Patton, B., Sanspree, C.R., Moon, J.A., and Moran, S.R., 2025, Texas coastal wetland surface elevation static survey campaign report, 17 p.","productDescription":"17 p.","ipdsId":"IP-180807","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":497630,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":497625,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://iris.fws.gov/APPS/ServCat/Reference/Profile/187715"}],"country":"United States","state":"Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97,\n 30\n ],\n [\n -97,\n 28\n ],\n [\n -94,\n 28\n ],\n [\n -94,\n 30\n ],\n [\n -97,\n 30\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Patton, Brett 0000-0002-7396-3452 pattonb@usgs.gov","orcid":"https://orcid.org/0000-0002-7396-3452","contributorId":5458,"corporation":false,"usgs":true,"family":"Patton","given":"Brett","email":"pattonb@usgs.gov","affiliations":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":952534,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanspree, Colt R. 0000-0001-9794-5008","orcid":"https://orcid.org/0000-0001-9794-5008","contributorId":360902,"corporation":false,"usgs":false,"family":"Sanspree","given":"Colt","middleInitial":"R.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":952535,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Moon, Jena A. 0000-0001-5141-2281","orcid":"https://orcid.org/0000-0001-5141-2281","contributorId":360893,"corporation":false,"usgs":false,"family":"Moon","given":"Jena","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":952536,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moran, Sierra R. 0009-0001-4354-4345","orcid":"https://orcid.org/0009-0001-4354-4345","contributorId":360688,"corporation":false,"usgs":false,"family":"Moran","given":"Sierra","middleInitial":"R.","affiliations":[{"id":78526,"text":"Student Services Contractor","active":true,"usgs":false}],"preferred":false,"id":952537,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70272134,"text":"70272134 - 2025 - Disentangling the historical impacts of warming and fishing on exploited freshwater fish populations","interactions":[],"lastModifiedDate":"2025-11-17T14:48:38.067774","indexId":"70272134","displayToPublicDate":"2025-10-01T07:44:21","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Disentangling the historical impacts of warming and fishing on exploited freshwater fish populations","docAbstract":"Worldwide, exploited fish populations are increasingly affected by the combined effects of warming and fishing. Disentangling the relative effects of these factors is challenging yet crucial for designing management strategies. We used a temperature-dependent population dynamics model to assess the impacts of lake warming and fishing on 521 freshwater fish populations in the Midwestern United States—a transitional zone between cold- and warmwater species. Overall, most warmwater species (65% of populations) exhibited increases in productivity from warming, while slightly more than half of the cool-/cold-water species (53% of populations) experienced reduced productivity. Populations closer to their carrying capacity showed greater resilience to warming. For the majority of populations (92%), fishing had a more pronounced effect on population dynamics than warming during the time period examined. Therefore, while warming is likely to increasingly threaten many fish populations, effective local fishery management remains a key lever to mitigate these impacts.
","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/sciadv.adx5138","usgsCitation":"Xu, L., Embke, H., Free, C., Hansen, G., Lynch, A.J., Paukert, C.P., Sievert, N., and Jensen, O., 2025, Disentangling the historical impacts of warming and fishing on exploited freshwater fish populations: Science Advances, v. 11, no. 40, eadx5138, 9 p., https://doi.org/10.1126/sciadv.adx5138.","productDescription":"eadx5138, 9 p.","ipdsId":"IP-173160","costCenters":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":496719,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.adx5138","text":"Publisher Index Page"},{"id":496526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.3952733613063,\n 49.01334514320507\n ],\n [\n -96.50883573439506,\n 43.61507071638019\n ],\n [\n -91.12707548405012,\n 43.468717070087905\n ],\n [\n -90.72892590269119,\n 42.42855896166411\n ],\n [\n -87.54896453020653,\n 42.50897463305219\n ],\n [\n -86.35530445073529,\n 45.35765560301597\n ],\n [\n -90.25991976978405,\n 46.5985490052954\n ],\n [\n -89.13941729234067,\n 48.03540749553696\n ],\n [\n -97.3952733613063,\n 49.01334514320507\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","issue":"40","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Xu, Luoliang","contributorId":351750,"corporation":false,"usgs":false,"family":"Xu","given":"Luoliang","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":950163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Embke, Holly Susan 0000-0002-9897-7068","orcid":"https://orcid.org/0000-0002-9897-7068","contributorId":358337,"corporation":false,"usgs":true,"family":"Embke","given":"Holly Susan","affiliations":[{"id":65882,"text":"Midwest Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":950164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Free, Christopher","contributorId":178388,"corporation":false,"usgs":false,"family":"Free","given":"Christopher","affiliations":[],"preferred":false,"id":950165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hansen, Gretchen","contributorId":174810,"corporation":false,"usgs":false,"family":"Hansen","given":"Gretchen","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":950166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lynch, Abigail J. 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":204271,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","middleInitial":"J.","affiliations":[{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":950167,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":950168,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sievert, Nicholas","contributorId":272500,"corporation":false,"usgs":false,"family":"Sievert","given":"Nicholas","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":950169,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Jensen, Olaf P.","contributorId":348884,"corporation":false,"usgs":false,"family":"Jensen","given":"Olaf P.","affiliations":[{"id":16925,"text":"University of Wisconsin-Madison","active":true,"usgs":false}],"preferred":false,"id":950170,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70272015,"text":"sir20255080 - 2025 - Potentiometric surface maps and groundwater-level hydrographs for confined aquifers of the New Jersey Coastal Plain, 2018","interactions":[],"lastModifiedDate":"2026-02-03T16:24:50.121719","indexId":"sir20255080","displayToPublicDate":"2025-09-30T16:45:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5080","displayTitle":"Potentiometric Surface Maps and Groundwater-Level Hydrographs for Confined Aquifers of the New Jersey Coastal Plain, 2018","title":"Potentiometric surface maps and groundwater-level hydrographs for confined aquifers of the New Jersey Coastal Plain, 2018","docAbstract":"The U.S. Geological Survey, in cooperation with the New Jersey Department of Environmental Protection (NJDEP), prepared potentiometric surface maps for 10 confined aquifers of the New Jersey Coastal Plain physiographic province based on water-level measurements collected during late 2018 and early 2019 from 951 wells in New Jersey and parts of Pennsylvania and Delaware. Maps were prepared for the confined Cohansey aquifer, Rio Grande water-bearing zone, Atlantic City 800-foot sand, Piney Point aquifer, Vincentown aquifer, Wenonah-Mount Laurel aquifer, Englishtown aquifer system, and the upper, middle, and lower aquifers of the Potomac-Raritan-Magothy aquifer system.
Potentiometric surface maps indicate regional cones of depression in the following aquifers and the counties in which they are centered: Atlantic City 800-foot sand in Atlantic County, the Piney Point aquifer in Cumberland County, the Wenonah-Mount Laurel aquifer and Englishtown aquifer system in Monmouth and Ocean Counties, the Wenonah-Mount Laurel aquifer in Camden and Gloucester County, the upper aquifer of the Potomac-Raritan-Magothy aquifer system in Ocean County, and the upper, middle, and lower aquifers of the Potomac-Raritan-Magothy aquifer system in Camden County. Cones of depression with smaller areal extents were in the confined Cohansey aquifer, the Rio Grande water-bearing zone, the Atlantic City 800-foot sand centered in Cape May County, the Piney Point aquifer centered in Ocean County, the Wenonah-Mount Laurel aquifer in Salem and Burlington Counties, the Englishtown aquifer system in Camden County, the upper aquifer of the Potomac-Raritan-Magothy aquifer system in Monmouth County, and the middle aquifer of the Potomac-Raritan-Magothy aquifer system in Monmouth, Ocean, and Salem Counties. No cone of depression was interpreted in the Vincentown aquifer.
Long-term hydrographs are presented for 75 wells spanning each of the 10 confined aquifers, and contain a mix of discrete water-level measurements and daily mean water levels based on continuously recorded 15-minute data. Changes of water levels during 2014–19, as indicated by the hydrographs, were compared with those of previous periods to assess any departures from historical data. During 2014–19, water levels were stable and fluctuated within similar ranges as previous periods in the following aquifers and locations: all wells in the confined Cohansey aquifer, the Rio Grande water-bearing zone, the Vincentown aquifer, the Englishtown aquifer system, the Piney Point aquifer wells in Burlington and Ocean Counties, six of eight wells in the Wenonah-Mount Laurel aquifer, all wells in the upper and lower aquifers of the Potomac-Raritan-Magothy aquifer system outside NJDEP Critical Areas, and all wells in the middle aquifer of the Potomac-Raritan-Magothy aquifer system except those within NJDEP Critical Area II. Increasing water levels in 2014–19, ongoing since historical periods, were indicated in the following aquifers and locations: Atlantic County wells in the Piney Point aquifer, all wells in the upper and lower aquifers of the Potomac-Raritan-Magothy aquifer system outside NJDEP Critical Areas, and all wells in the middle aquifer of the Potomac-Raritan-Magothy aquifer system within NJDEP Critical Area II. Water levels in the Atlantic City 800-foot sand also increased during 2014–19 in wells in Atlantic County and northern Cape May County closer to the center of the cone of depression in that aquifer, which is a response unique to this period and absent from previous periods. During 2013–19, continued decreasing water levels, ongoing since previous periods, were indicated by hydrographs of Atlantic City 800-foot sand wells in southern Cape May County, Piney Point aquifer wells in Cumberland County where the regional cone of depression is located, and two wells in the Wenonah-Mount Laurel aquifer—070478, which in 2014–19 departed from previous periods, and 330020, which continued a gradual decrease throughout its period of record.
","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255080","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Fiore, A.R., Cauller, S.J., and Brown, E.J., 2025, Potentiometric surface maps and groundwater-level hydrographs for confined aquifers of the New Jersey Coastal Plain, 2018: U.S. Geological Survey Scientific Investigations Report 2025–5080, 37 p., 9 pls., https://doi.org/10.3133/sir20255080.","productDescription":"Report: viii, 37 p.; 9 Plates: 19.50 x 26.50 inches; Data Release","numberOfPages":"37","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-158226","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":496280,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AT8Z9B","text":"USGS data release","linkHelpText":"Geospatial data representing wells open to, and 2018 potentiometric surface contours of, the confined aquifers of the New Jersey Coastal Plain"},{"id":496298,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2025/5080/sir20255080_plates.pdf","text":"Plates 1–9","size":"69.4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":496277,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255080/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5080 HTML"},{"id":496276,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5080/sir20255080.pdf","text":"Report","size":"5.31 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5080 PDF"},{"id":496279,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5080/images/"},{"id":496275,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5080/coverthb.jpg"},{"id":496278,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5080/sir20255080.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5080 XML"},{"id":497788,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118951.htm"}],"country":"United States","state":"New Jersey","otherGeospatial":"Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.86248123191035,\n 40.48417444667285\n ],\n [\n -74.37454480427728,\n 40.52176772292319\n ],\n [\n -74.76300682469329,\n 40.185368171011504\n ],\n [\n -75.09849675141594,\n 39.98542938463885\n ],\n [\n -75.2574130324954,\n 39.85000334106027\n ],\n [\n -75.46223846144186,\n 39.77133356243843\n ],\n [\n -75.58230854047962,\n 39.61100346658509\n ],\n [\n -75.5363993926121,\n 39.43666527993781\n ],\n [\n -74.85835659334042,\n 38.83679593629347\n ],\n [\n -74.02846045881562,\n 39.676267414234104\n ],\n [\n -73.86248123191035,\n 40.48417444667285\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, New Jersey 08648
This standard operating procedure (SOP) manual describes the collection of standardized, long-term data for aquatic vegetation communities in selected study pools of the Upper Mississippi River System in the United States. The primary intent of the data collection is to assess the status and trends that aid in understanding the unique river ecosystem and to guide large-scale ecological restoration of the river and its biological communities, like aquatic plants and their dependent wildlife. This SOP is an update to the version published in 2000 and reflects modifications to sample sizes and additions of new data collection procedures. All long-term monitoring programs and their SOPs must be adapted to changing conditions and be improved through learning, and this SOP clarifies procedures and adds new elements since the initial SOP was written more than 25 years ago. The SOP is intended for multiple audiences, including vegetation specialists through the Upper Mississippi River Restoration Program, data analysts using the publicly available data generated through this SOP, and natural resource managers and restoration practitioners who need data and science to guide some decisions. This SOP may be transferable and adaptable to other ecosystems when the aquatic plant community is the focus.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm2A22","collaboration":"Prepared in cooperation with the Long Term Resource Monitoring element of the Upper Mississippi River Restoration Program, U.S. Army Corps of Engineers, U.S. Fish and Wildlife Service, Iowa Department of Natural Resources, Minnesota Department of Natural Resources, and Wisconsin Department of Natural Resources","usgsCitation":"Larson, D.M., Lund, E., Carhart, A.M., Fopma, S., and Szura, S., 2025, Long Term Resource Monitoring procedures—Aquatic vegetation monitoring: U.S. Geological Survey Techniques and Methods, book 2, chap. A22, 40 p., https://doi.org/10.3133/tm2A22.","productDescription":"Report: vi, 40 p.; 2 Linked Figures; Pocket Guide","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-167317","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":496286,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm2A22/full"},{"id":496285,"rank":5,"type":{"id":29,"text":"Figure"},"url":"https://pubs.usgs.gov/tm/02/a22/downloads/","text":"Printable versions of figures 2.1 and 7.1"},{"id":496284,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/02/a22/images/"},{"id":496283,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/02/a22/tm2A22.XML"},{"id":496282,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/02/a22/tm2A22.pdf","text":"Report","size":"4.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 2-A22"},{"id":502240,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/tm/02/a22/tm2A22_pocket_guide.pdf","text":"Pocket guide","size":"2.05 MB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Pocket guide for Long Term Resource Monitoring procedures—Aquatic vegetation monitoring"},{"id":496281,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/02/a22/coverthb2.jpg"}],"country":"United States","state":"Illinois, Iowa, Minnesota, Missouri, Wisconsin","otherGeospatial":"Illinois River, Upper Mississippi River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.82084396790316,\n 44.04246451932946\n ],\n [\n -91.50791848601513,\n 38.40902936668505\n ],\n [\n -89.8837153943196,\n 38.45968306709577\n ],\n [\n -89.16595397141731,\n 41.89729975230259\n ],\n [\n -90.33908638801539,\n 43.40513483806296\n ],\n [\n -91.27142102824394,\n 43.92243866259706\n ],\n [\n -91.82084396790316,\n 44.04246451932946\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, Wisconsin 54603
The Upper Mississippi River Restoration Program’s Long Term Resource Monitoring element made updates to the standardized operating procedure manual for collecting standardized data for aquatic vegetation in the Upper Mississippi River System. This updated manual helps users collect data more effectively. The information from the monitoring surveys is used to assess the status and trends of aquatic plants, and helps restoration managers to engineer habitat conditions for this unique river ecosystem.
","publicationDate":"2025-09-30","publicationStatus":"PW","contributors":{"authors":[{"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":949725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lund, Eric","contributorId":221777,"corporation":false,"usgs":false,"family":"Lund","given":"Eric","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":949726,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carhart, Alicia M.","contributorId":361967,"corporation":false,"usgs":false,"family":"Carhart","given":"Alicia","middleInitial":"M.","affiliations":[{"id":6913,"text":"Wisconsin Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":949727,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fopma, Seth","contributorId":360281,"corporation":false,"usgs":false,"family":"Fopma","given":"Seth","affiliations":[{"id":24495,"text":"Iowa Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":949728,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szura, Stephanie","contributorId":360278,"corporation":false,"usgs":false,"family":"Szura","given":"Stephanie","affiliations":[{"id":6964,"text":"Minnesota Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":949729,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70271982,"text":"sir20255031 - 2025 - User’s guide for the National Hydrography Dataset Plus High Resolution (NHDPlus HR)","interactions":[{"subject":{"id":70206120,"text":"ofr20191096 - 2019 - User's guide for the national hydrography dataset plus (NHDPlus) high resolution","indexId":"ofr20191096","publicationYear":"2019","noYear":false,"displayTitle":"User’s Guide for the National Hydrography Dataset Plus (NHDPlus) High Resolution","title":"User's guide for the national hydrography dataset plus (NHDPlus) high resolution"},"predicate":"SUPERSEDED_BY","object":{"id":70271982,"text":"sir20255031 - 2025 - User’s guide for the National Hydrography Dataset Plus High Resolution (NHDPlus HR)","indexId":"sir20255031","publicationYear":"2025","noYear":false,"title":"User’s guide for the National Hydrography Dataset Plus High Resolution (NHDPlus HR)"},"id":1}],"lastModifiedDate":"2026-02-03T16:23:33.096091","indexId":"sir20255031","displayToPublicDate":"2025-09-30T13:20:00","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-5031","displayTitle":"User’s Guide for the National Hydrography Dataset Plus High Resolution (NHDPlus HR)","title":"User’s guide for the National Hydrography Dataset Plus High Resolution (NHDPlus HR)","docAbstract":"The National Hydrography Dataset Plus High Resolution (NHDPlus HR) is a scalable hydrologic geospatial fabric or framework, built from (1) the High Resolution (1:24,000-scale or better) National Hydrography Dataset (NHD), (2) nationally complete Watershed Boundary Dataset (WBD), and (3) 1/3-arc-second 3D Elevation Program (3DEP) digital elevation model (DEM) data (at a 10-meter ground spacing; or 5-meter 3DEP DEM in Alaska only). The NHDPlus HR provides a modeling and assessment framework at a local 1:24,000 scale, while nesting seamlessly into the national context.
NHDPlus HR is modeled after the highly successful NHDPlus version 2 (NHDPlusV2). Like NHDPlusV2, the NHDPlus HR includes data for a nationally seamless network of stream reaches, elevation-based catchment areas, flow surfaces, and value-added attributes that enhance stream-network navigation, analysis, and data display. However, NHDPlus HR provides much greater spatial detail than NHDPlusV2, while NHDPlusV2 is, at present, more complete in its attribution of additions, removals, and diversions, as well as stream connectivity. This user’s guide is intended to provide necessary information and guidance in the use of NHDPlus HR data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255031","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","programNote":"National Geospatial Program","usgsCitation":"Moore, R.B., McKay, L.D., Rea, A.H., Bondelid, T.R., Price, C.V., Dewald, T.G., and Hayes, L., 2025, User’s guide for the National Hydrography Dataset Plus High Resolution (NHDPlus HR): U.S. Geological Survey Scientific Investigations Report 2025–5031, 78 p., https://doi.org/10.3133/sir20255031. [Supersedes USGS Open-File Report 2019–1096.]","productDescription":"Report: xiii, 78 p.; 2 Data Releases; Project Site","numberOfPages":"78","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-150034","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":496237,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5031/sir20255031.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5031 XML"},{"id":496238,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5031/images"},{"id":496239,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9WFOBQI","text":"USGS data release","linkHelpText":"USGS National Hydrography Dataset Plus High Resolution National Release 1 FileGDB"},{"id":496240,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://apps.nationalmap.gov/downloader/#/","text":"USGS data release","linkHelpText":"The National Map downloader (ver. 2.0)"},{"id":496273,"rank":8,"type":{"id":18,"text":"Project Site"},"url":"https://www.usgs.gov/national-hydrography/nhdplus-high-resolution","text":"NHDPlus High Resolution"},{"id":496236,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255031/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5031 HTML"},{"id":496235,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5031/sir20255031.pdf","text":"Report","size":"9.55 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5031 PDF"},{"id":496234,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5031/coverthb.jpg"}],"contact":"Director, National Geospatial Program
Core Science Systems
U.S. Geological Survey
12201 Sunrise Valley Drive, MS 511
Reston, VA 20192
Fostering a sense of classroom community in earth science classes supports students’ sense of belonging within the classroom and the broader scientific community, helping them build a sense of identity as a geoscientist. This study examines the effects of incorporating a 2-week, collaborative role-playing activity on sense of classroom community and science identity in an introductory hydrology class. Students assumed roles of residents, medical center representatives, government employees, and environmental activists to learn about flooding through a community-centered lens, focusing on a flood event in Harris County, Texas during Tropical Storm Allison. Pre-post-surveys were given immediately before and after the learning module to evaluate classroom community, science identity using Likert scales, and hydrologist identity using a pictorial scale. Qualitative analysis of a short-answer question in which students defined “hydrologist” provided context for quantitative identity data. Post-survey data on classroom community shows an increase in mean agreement as compared to the pre-survey. This increase was statistically significant for four classroom community statements. Paired science identity data show small effect size and no significant change, but pictorial identity as a hydrologist shows significant growth. Social aspects of the role-playing activity did not significantly alter student’s already high science identity but altered their conceptions of the social implications of hydrology and increased identity as hydrologists. The significant increase in classroom community has important implications for using role-playing as an active learning strategy to enhance student learning experience by creating a positive classroom climate and connecting hydrology concepts to community needs.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/10899995.2025.2565990","usgsCitation":"Plenge, M., Dolan, W., Tomlinson, A., Hutson, B., and Pavelsky, T., 2025, Impact of a place-based role-playing exercise on student sense of classroom community and science identity in a hydrology class: Journal of Geoscience Education, https://doi.org/10.1080/10899995.2025.2565990.","ipdsId":"IP-171850","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":498550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"edition":"Online First","noUsgsAuthors":false,"publicationDate":"2025-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Plenge, Megan","contributorId":365013,"corporation":false,"usgs":false,"family":"Plenge","given":"Megan","affiliations":[{"id":27051,"text":"University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":953582,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dolan, Wayana 0000-0001-8405-4302","orcid":"https://orcid.org/0000-0001-8405-4302","contributorId":354442,"corporation":false,"usgs":true,"family":"Dolan","given":"Wayana","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":953583,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tomlinson, Alexa","contributorId":365016,"corporation":false,"usgs":false,"family":"Tomlinson","given":"Alexa","affiliations":[{"id":27051,"text":"University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":953584,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hutson, Bryant","contributorId":365018,"corporation":false,"usgs":false,"family":"Hutson","given":"Bryant","affiliations":[{"id":27051,"text":"University of North Carolina at Chapel Hill","active":true,"usgs":false}],"preferred":false,"id":953585,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Pavelsky, Tamlin","contributorId":149629,"corporation":false,"usgs":false,"family":"Pavelsky","given":"Tamlin","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":953586,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272021,"text":"70272021 - 2025 - Triple-oxygen isotopic evidence of prolonged direct bioleaching of pyrite with O2","interactions":[],"lastModifiedDate":"2025-11-13T16:38:13.060178","indexId":"70272021","displayToPublicDate":"2025-09-30T09:26:54","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Triple-oxygen isotopic evidence of prolonged direct bioleaching of pyrite with O2","docAbstract":"Sulfate is often touted as containing atmospheric oxygen whose isotopic signature can constrain redox, environmental conditions, and biological activity. Yet, the amount and isotopic fractionation associated with air-O2 incorporation during sulfate formation is still debated, making its verification difficult. In this study, we identify a distinct, microbially dominated environment with the potential to preserve maximum signals of air-O2 in sulfate. We report triple-oxygen isotope data for sulfate produced from pyrite oxidation in microbial and abiotic experiments, and from natural dissolved sulfate from the Rio Tinto, Spain, an acid mine drainage site. The oxygen isotope systematics of sulfate in these environments define a unique kinetic isotope effect associated with initial stage pyrite oxidation by Acidithiobacillus ferrooxidans that preserves >80 % oxygen from air-O2 in sulfate. Unlike experiments, which evolve toward water-oxygen dominated sulfate on short time scales, Rio Tinto, Spain hosts a microbe rich environment with distinct geochemistry that maintains high O2-oxygen in sulfate. Therefore, in addition to containing isotopic records from water and air, sulfates can also contain a biosignature that is promising for understanding conditions on Mars and early Earth.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.epsl.2025.119639","usgsCitation":"Kohl, I., Killingsworth, B.A., Zeigler, K., Young, E.D., and Coleman, M., 2025, Triple-oxygen isotopic evidence of prolonged direct bioleaching of pyrite with O2: Earth and Planetary Science Letters, v. 671, 119639, 10 p., https://doi.org/10.1016/j.epsl.2025.119639.","productDescription":"119639, 10 p.","ipdsId":"IP-172630","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":496423,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.epsl.2025.119639","text":"Publisher Index Page"},{"id":496406,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Spain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -9.191561095536457,\n 43.45843865321959\n ],\n [\n -9.220384524245844,\n 41.937249586462514\n ],\n [\n -6.67459696121594,\n 41.76753344172553\n ],\n [\n -7.593667945421032,\n 37.4320694758983\n ],\n [\n -3.984102384259529,\n 35.59998830658435\n ],\n [\n 0.4092648847614413,\n 38.01073133574759\n ],\n [\n 3.171479154976481,\n 42.5594331414778\n ],\n [\n -7.946415250293342,\n 43.84479559131496\n ],\n [\n -9.191561095536457,\n 43.45843865321959\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"671","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kohl, Issaku","contributorId":361971,"corporation":false,"usgs":false,"family":"Kohl","given":"Issaku","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":949747,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Killingsworth, Bryan Alan 0000-0001-6067-8604","orcid":"https://orcid.org/0000-0001-6067-8604","contributorId":270978,"corporation":false,"usgs":true,"family":"Killingsworth","given":"Bryan","email":"","middleInitial":"Alan","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"preferred":true,"id":949748,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zeigler, Karen","contributorId":361972,"corporation":false,"usgs":false,"family":"Zeigler","given":"Karen","affiliations":[{"id":36307,"text":"University of New Mexico","active":true,"usgs":false}],"preferred":false,"id":949749,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, Edward D.","contributorId":362021,"corporation":false,"usgs":false,"family":"Young","given":"Edward","middleInitial":"D.","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":949828,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coleman, Max","contributorId":361973,"corporation":false,"usgs":false,"family":"Coleman","given":"Max","affiliations":[{"id":33580,"text":"NASA-JPL","active":true,"usgs":false}],"preferred":false,"id":949751,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70272027,"text":"70272027 - 2025 - Estimated ultimate recovery (EUR) Prediction for Eagle Ford Shale using integrated datasets and artificial neural networks","interactions":[],"lastModifiedDate":"2025-11-13T15:56:49.946165","indexId":"70272027","displayToPublicDate":"2025-09-30T08:51:52","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10757,"text":"Energies","active":true,"publicationSubtype":{"id":10}},"title":"Estimated ultimate recovery (EUR) Prediction for Eagle Ford Shale using integrated datasets and artificial neural networks","docAbstract":"The estimated ultimate recovery (EUR) is an important parameter for forecasting oil and gas production and informing decisions regarding field development strategies. In this study, we combined site-specific geologic, completion, and operational parameters with the predictive capabilities of machine learning (ML) models to predict EURs of the wells for the Eagle Ford Marl Continuous Oil Assessment Unit. We developed an extensive dataset of wells that have produced from the lower and upper Eagle Ford Shale intervals and reduced the model complexity using principal component analysis. We tested the ML models and estimated the sensitivities of ML-predicted EURs to changes in the values of different input variables. The results of applying the optimized ML model to the Eagle Ford suggest that the approach developed in this study could be promising. The ML estimates of the EURs fit the DCA-based values with an R2 ~ 0.9 and a mean absolute error of ~36 × 103 bbl. In the lower Eagle Ford Shale, the EUR estimates were found to be most sensitive to changes in porosity, net thickness of the interval, clay volume, and the API gravity of the oil; and that in the upper Eagle Ford Shale they were most sensitive to changes in the total organic carbon and water saturation, which suggests that it could be important to consider these parameters in assessing these intervals or close analogs.
","language":"English","publisher":"MDPI","doi":"10.3390/en18195216","usgsCitation":"Karacan, C.O., Anderson, S.T., and Cahan, S., 2025, Estimated ultimate recovery (EUR) Prediction for Eagle Ford Shale using integrated datasets and artificial neural networks: Energies, v. 18, no. 19, 5216, 21 p., https://doi.org/10.3390/en18195216.","productDescription":"5216, 21 p.","ipdsId":"IP-164247","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":496420,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/en18195216","text":"Publisher Index Page"},{"id":496401,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico, United States","state":"Louisiana, Mississippi, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.39816695432742,\n 30.86268720310727\n ],\n [\n -99.39816695432742,\n 27.387197803061596\n ],\n [\n -89.04028077792094,\n 27.387197803061596\n ],\n [\n -89.04028077792094,\n 30.86268720310727\n ],\n [\n -99.39816695432742,\n 30.86268720310727\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"19","noUsgsAuthors":false,"publicationDate":"2025-09-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Karacan, C. Ozgen 0000-0002-0947-8241","orcid":"https://orcid.org/0000-0002-0947-8241","contributorId":201991,"corporation":false,"usgs":true,"family":"Karacan","given":"C.","email":"","middleInitial":"Ozgen","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":949769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Steven T. 0000-0003-3481-3424 sanderson@usgs.gov","orcid":"https://orcid.org/0000-0003-3481-3424","contributorId":2532,"corporation":false,"usgs":true,"family":"Anderson","given":"Steven","email":"sanderson@usgs.gov","middleInitial":"T.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":949770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cahan, Steven M. 0000-0002-4776-3668","orcid":"https://orcid.org/0000-0002-4776-3668","contributorId":205929,"corporation":false,"usgs":true,"family":"Cahan","given":"Steven M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":949771,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70272111,"text":"70272111 - 2025 - Unique thermal mixing patterns in Lake Ontario revealed by novel year-round observations of thermal stratification","interactions":[],"lastModifiedDate":"2025-12-01T16:52:39.768257","indexId":"70272111","displayToPublicDate":"2025-09-30T08:32:43","publicationYear":"2025","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":"Unique thermal mixing patterns in Lake Ontario revealed by novel year-round observations of thermal stratification","docAbstract":"Year-round records of thermal stratification in the Great Lakes are rare, and there are few observations of thermal stratification during winter. In this paper, we analyze temperature data from 13 temperature logger chains and from over 130 benthic acoustic receivers that were deployed across Lake Ontario for 2 yr. The timing and duration of the fall overturn correlate with the local average water depth, and shallow sites (< 50 m depth) overturn up to a month before deep sites (> 100 m depths). Likewise, in spring, the shallow sites warm faster. Lake Ontario has partial ice cover, so wind-driven mixing stirs the water column throughout winter, and inverse thermal stratification is largely absent. The depth-averaged winter water temperatures vary between 0°C and 4°C, with the coldest temperatures (near 0.1°C) found in the shallow Kingston basin and warmest temperatures (near 4°C) at sites near the 244 m deep Rochester Basin. Lake Ontario appears to be a warm monomictic lake, rather than having a dimictic mixing pattern as previously described—there is no sustained ice cover or inverse stratification that inhibits vertical mixing in winter. Winter is a poorly understood season for many aquatic processes, including fish bioenergetics, fish distribution, biochemical processes, invertebrate distribution, and production. Moreover, the lack of knowledge of winter has hampered the use of correct initial conditions for running large lake hydrodynamic models.
","language":"English","publisher":"Wiley","doi":"10.1002/lno.70215","usgsCitation":"Wells, M., Johnson, T.B., Robinson, R., Midwood, J., Shi, Y., Larocque, S., Eddie, A., O’Malley, B., Morton, K., Gorsky, D., and Tufts, B., 2025, Unique thermal mixing patterns in Lake Ontario revealed by novel year-round observations of thermal stratification: Limnology and Oceanography, v. 70, no. 11, p. 3401-3416, https://doi.org/10.1002/lno.70215.","productDescription":"16 p.","startPage":"3401","endPage":"3416","ipdsId":"IP-172993","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":496724,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/lno.70215","text":"Publisher Index Page"},{"id":496547,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Ontario","geographicExtents":"{\n \"type\": 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bomalley@usgs.gov","orcid":"https://orcid.org/0000-0001-5035-3080","contributorId":216560,"corporation":false,"usgs":true,"family":"O’Malley","given":"Brian","email":"bomalley@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":950112,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Morton, Kyle 0009-0008-2231-9000","orcid":"https://orcid.org/0009-0008-2231-9000","contributorId":353229,"corporation":false,"usgs":false,"family":"Morton","given":"Kyle","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":950236,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Gorsky, Dimitri","contributorId":354793,"corporation":false,"usgs":false,"family":"Gorsky","given":"Dimitri","affiliations":[{"id":6661,"text":"US Fish and Wildlife 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Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Different data for different goals: Exploring trade-offs and synergies in the use of spatial data inputs to optimize conservation action in sagebrush ecosystems","docAbstract":"Ecosystems worldwide continue to experience rapid rates of habitat and species loss. Management actions to conserve and restore functional habitats are needed to reduce these declines, but funding and resources for such actions are limited. Spatial conservation prioritization (SCP) can facilitate strategic decision-making for targeted conservation planning and delivery, but complexities arise when management objectives include multiple wildlife species and ecological or management constraints, all of which can be further complicated by data uncertainty and existing conservation plans. The Prioritizing Restoration of Sagebrush Ecosystems Tool (PReSET), an R package-based decision-support tool, supports strategic ecosystem management planning across the sagebrush biome by using SCP. We adapted PReSET to better address the needs of multiple wildlife species, evaluate the effects of different ecological or management constraints on conservation outcomes, assess the influence of data uncertainty, and integrate existing conservation plans. Specifically, we developed optimization problems to identify priority sagebrush protection and restoration across the state of Wyoming, USA, and evaluated the efficacy and trade-offs of various approaches to problem design. We evaluated trade-offs in targeting multiple species compared to a single species, including using greater sage-grouse as a potential umbrella species to benefit other sagebrush-dependent wildlife. We then evaluated multi-species protection and restoration problems aimed at minimizing the risks of inadequate connectivity, climate change, and restoration failure, and accounted for data uncertainty to assess relationships between risk aversion of managers and conservation outcomes. We also developed optimization problems within conservation areas identified by an existing sagebrush conservation plan to evaluate the efficacy of guiding local-scale conservation delivery within more broadly defined conservation areas. Our results demonstrate how SCP methods can leverage novel spatial data to develop targeted decision-support resources that can facilitate landscape conservation planning and improve management outcomes across a wide array of systems and species.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.72214","usgsCitation":"Shyvers, J.E., Tarbox, B.C., Monroe, A., Van Lanen, N.J., Robb, B.S., Buchholtz, E.K., Duchardt, C.J., Edmunds, D.R., O’Donnell, M.S., Van Schmidt, N.D., Heinrichs, J., and Aldridge, C.L., 2025, Different data for different goals: Exploring trade-offs and synergies in the use of spatial data inputs to optimize conservation action in sagebrush ecosystems: Ecology and Evolution, v. 15, no. 10, e72214, 25 p., https://doi.org/10.1002/ece3.72214.","productDescription":"e72214, 25 p.","ipdsId":"IP-150992","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":496709,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.72214","text":"Publisher Index Page"},{"id":496479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":949967,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Heinrichs, Julie A. 0000-0001-7733-5034","orcid":"https://orcid.org/0000-0001-7733-5034","contributorId":240888,"corporation":false,"usgs":false,"family":"Heinrichs","given":"Julie A.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":949968,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Aldridge, Cameron L. 0000-0003-3926-6941 aldridgec@usgs.gov","orcid":"https://orcid.org/0000-0003-3926-6941","contributorId":191773,"corporation":false,"usgs":true,"family":"Aldridge","given":"Cameron","email":"aldridgec@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":949969,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}} ,{"id":70271935,"text":"fs20253022 - 2025 - Beaver dams and their effects on urban streams in the Tualatin River Basin, northwestern Oregon","interactions":[],"lastModifiedDate":"2026-02-03T16:22:51.589121","indexId":"fs20253022","displayToPublicDate":"2025-09-30T07:55:41","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-3022","displayTitle":"Beaver Dams and Their Effects on Urban Streams in the Tualatin River Basin, Northwestern Oregon","title":"Beaver dams and their effects on urban streams in the Tualatin River Basin, northwestern Oregon","docAbstract":"In response to growing interest in beaver-assisted restoration in the Tualatin River Basin of northwestern Oregon, the U.S. Geological Survey (USGS), in partnership with Clean Water Services, collected data from 2016–17 and completed a series of studies to: (1) inventory known locations of beaver dams and activity in the Tualatin River Basin, (2) estimate the number of beaver dams in the Tualatin River Basin as of 2017 and the potential number of beaver dams that could be supported with riparian vegetation improvements, and (3) assess the effects of beaver dams and ponds on storm hydrology, hydraulics, and floodplain inundation, suspended-sediment transport and deposition, and water quality along two urban stream reaches (Fanno Creek at Greenway Park and Bronson Creek between Kaiser and Saltzman Roads). This fact sheet summarizes the results of these studies and implications for beaver-assisted restoration in the Tualatin River Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253022","usgsCitation":"Jones, K.L., Smith, C.D., White, J.S., Rounds, S.A., Doyle, M.C., and Leahy, E.K., Beaver dams and their effects on urban streams in the Tualatin River Basin, northwestern Oregon: U.S. Geological Survey Fact Sheet 2025–3022, 6 p., https://doi.org/10.3133/fs20253022","productDescription":"6 p.","onlineOnly":"Y","ipdsId":"IP-138686","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":496063,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3022/fs20253022.XML"},{"id":496061,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3022/coverthb.jpg"},{"id":496062,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3022/fs20253022.pdf","text":"Report","size":"1.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3022"},{"id":496206,"rank":4,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.3133/sir20255039","text":"SIR 2025-5039","description":"SIR 2025-5039","linkHelpText":"- Beavers in the Tualatin River Basin, Northwestern Oregon"}],"country":"United States","state":"Oregon","otherGeospatial":"Tualatin River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.5,\n 45.75\n ],\n [\n -123.5,\n 45.375\n ],\n [\n -122.5,\n 45.375\n ],\n [\n -122.5,\n 45.75\n ],\n [\n -123.5,\n 45.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
601 SW 2nd Ave., Suite 1950
Portland, Oregon 97204
American beavers (Castor canadensis) are native to the Pacific Northwest, and their populations have increased in many locations after being nearly removed by historical trapping. Beaver dams have well-documented effects on water quality in forested streams, but their effects on water quality in urban streams have not been well characterized. The study documented the water-quality effects of beaver dams and beaver activity in selected urban streams of the Tualatin River Basin in northwestern Oregon. Variations in water quality upstream, downstream, and within ponded areas behind beaver dams were quantified with continuous measurements of water temperature, specific conductance, dissolved oxygen, and pH from May 2016 to November 2017 in two intensively monitored reaches of urban streams (Fanno and Bronson Creeks). Five other urban stream reaches were monitored upstream and downstream from beaver ponds using water-temperature sensors to document water-temperature changes in additional beaver-affected reaches. Spatial water-quality variations within a beaver pond along Fanno Creek were characterized in more detail on four hot summer afternoons with numerous measurements of temperature and dissolved oxygen. Results from the study were used to document and derive insights from measured patterns in the water-quality data, such as the following:
Director, Oregon Water Science Center
U.S. Geological Survey
601 SW 2nd Avenue, Suite 1950
Portland, Oregon 97204
This study investigated the effects of natural beaver dams and ponds on sediment transport and deposition in two urban beaver-affected reaches in the Tualatin River Basin, northwestern Oregon. Data were collected during 2016–17 from Fanno Creek at Greenway Park (between SW Hall Boulevard and SW Pearson Court) and Bronson Creek (between NW Laidlaw Road and NW Kaiser Road); each study reach contained multiple beaver dams. Continuous turbidity, discrete suspended-sediment samples, and streamflow measurements were collected during storms and baseflow periods to calculate suspended-sediment loads (SSLs) and to compare differences in SSLs upstream and downstream from the two beaver-affected reaches. Turbidity was measured continuously upstream, within, and downstream from these reaches to evaluate seasonal and longitudinal turbidity patterns and fluctuations. The volume and mass of sediment deposited in a large pond along the Fanno Creek study reach were also estimated. Study results include:
Director, Oregon Water Science Center
U.S. Geological Survey
601 SW 2nd Avenue, Suite 1950
Portland, Oregon 97204
American beaver (Castor canadensis) dams fundamentally alter stream hydraulics and hydrology by temporarily impounding water in stream channels. Water managers are interested in how this impoundment translates to changes in hydrograph dynamics, particularly regarding the magnitude and duration of high flows, the temporary storage of storm water, and the range and spatial distribution of water depths and velocities. High-resolution two-dimensional hydraulic models were developed to compare hydraulic responses to storm events in two 1-kilometer long, relatively small (less than 5-meter-wide channel), urban stream reaches in the Tualatin River Basin (northwestern Oregon) with and without beaver dams. Results from modeling unsteady storm events show that: (1) beaver dams generally attenuate (temporarily impound) more water during storm events than an undammed reach, (2) the timing and dynamics of this attenuation are complicated and thus do not always result in a reduction of peak flows, and (3) the influence of beaver dams on stream hydraulics diminishes as the magnitude of flow events increase. Local geomorphic conditions, specifically the presence of off-channel features, affect the extent to which dams alter hydrograph dynamics. Although the magnitudes of peak flows are not substantially affected by the beaver dams considered in this study, results show that beaver dams temporarily impound a considerable amount of water throughout the duration of storms, which slows water conveyance to downstream reaches. Steady-state streamflow simulations at several streamflow magnitudes were also used to assess how beaver dams affect stream depths, velocities, and inundated areas, which are important factors affecting aquatic habitats. Results show that beaver dams result in a more hydraulically diverse stream, with substantially more inundated area, lower velocities, and greater depths than corresponding undammed scenarios. However, these differences diminish as streamflows increase and the channels overflow their banks and become hydraulically connected to adjacent floodplains. Together, these results confirm that beaver dams can fundamentally change urban stream channel hydraulics, but the influence of these dams is bounded by local geomorphic controls and is diminished at large streamflows.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255039B","collaboration":"Prepared in cooperation with Clean Water Services","usgsCitation":"White, J.S., Jones, K.L., and Rounds, S.A., 2025, Effects of beaver dams and ponds on hydrologic and hydraulic responses of storm flows in urban streams of the Tualatin River Basin, northwestern Oregon, chap. B of Jones, K.L., and Smith, C.D., eds., Beavers in the Tualatin River Basin, northwestern Oregon: U.S. Geological Survey Scientific Investigations Report 2025–5039–B, 38 p., https://doi.org/10.3133/sir20255039B.","productDescription":"Report: viii, 38 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-164816","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":495978,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5039/b/sir20255039b.pdf","text":"Report","size":"6.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5039-B"},{"id":495981,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5039/b/images","text":"USGS data release","description":"USGS data release"},{"id":495982,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5039/b/sir20255039b.XML"},{"id":495977,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5039/b/coverthb.jpg"},{"id":495980,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1VZGC3Z","text":"USGS data release","description":"USGS data release","linkHelpText":"Hydraulic models of two beaver affected reaches in the Tualatin Basin, Oregon"},{"id":495979,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255039b/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5039-B"}],"country":"United States","state":"Oregon","otherGeospatial":"Tualatin River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.5,\n 45.75\n ],\n [\n -123.5,\n 45.375\n ],\n [\n -122.5,\n 45.375\n ],\n [\n -122.5,\n 45.75\n ],\n [\n -123.5,\n 45.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
601 SW 2nd Avenue, Suite 1950
Portland, Oregon 97204
Beaver dams can help streams connect to their floodplains. These floodplain connections can expand the range of available aquatic habitats and aid in the restoration of stream and floodplain function and processes. American beavers (Castor canadensis) occupy a wide variety of aquatic habitats; however, their ability to build dams, the agent of stream and floodplain change, is constrained in large part by three physical variables—local vegetation, topography, and hydrology.
These three physical variables are combined in the Beaver Restoration Assessment Tool (BRAT), a geographic information system-based utility that uses a Fuzzy Inference System (FIS) to estimate the capacity of each reach within a stream network to support beaver dams. In this study, version 1.0 of BRAT was adapted and applied to the entire perennial stream network of Tualatin River Basin in northwestern Oregon. Beaver-dam locations in the Tualatin River Basin were compiled to (1) define the distribution of dams in the basin during 2013–16 and (2) provide necessary data for calibrating and validating BRAT predictions. BRAT was calibrated to the current known distribution of dams, as compiled in the inventory. The input FIS equations of the original BRAT model were adjusted to account for local topographic conditions; specifically, the low gradient of many streams in the basin, although subsequent updates to BRAT may obviate the need for these changes.
Results from this modified BRAT model reasonably simulated the dam inventory. Results show that beavers can currently build the greatest density of dams, defined as number of dams per kilometer of stream, in the higher-gradient forested streams of the basin, whereas they can build the fewest number of dams per kilometer in urban streams along the lower-gradient valley floor. Estimated dam density was generally 5-15 dams per kilometer (km) for forested streams and 2-4 dams/km for urban streams. Improving riparian vegetation along urban streams may allow beavers to build on average four additional dams per kilometer compared to current conditions. Results from this study may help inform local stream and stormwater management by (1) identifying stream reaches with the most potential to support beaver dams, (2) determining the likely factors limiting potential for dam building, and (3) identifying potential areas where dam building may affect human infrastructure.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255039A","collaboration":"Prepared in cooperation with Clean Water Services","usgsCitation":"White, J.S., Smith, C.D., Jones, K.L., and Rounds, S.A., 2025, Stream network capacity to support beaver dams in the Tualatin River Basin, northwestern Oregon, chap. A of Jones, K.L., and Smith, C.D., eds., Beavers in the Tualatin River Basin, northwestern Oregon: U.S. Geological Survey Scientific Investigations Report 2025–5039–A, 20 p., https://doi.org/10.3133/sir20255039A.","productDescription":"Report: viii, 20 p.; 2 Data Releases","onlineOnly":"Y","ipdsId":"IP-102303","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":495854,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5039/a/sir20255039a.XML"},{"id":495853,"rank":6,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5039/a/images"},{"id":495852,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1SURYZ4","text":"USGS data release","description":"USGS data release","linkHelpText":"Stream network capacity to support beaver dams, Tualatin River Basin, northwest Oregon"},{"id":496245,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7PZ57QP","text":"USGS data release","description":"USGS data release","linkHelpText":"Beaver dam locations and beaver activity in the Tualatin Basin, Oregon"},{"id":495851,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255039a/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5039-A"},{"id":495850,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5039/a/sir20255039a.pdf","size":"5.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5039-A"},{"id":495849,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5039/a/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Tualatin River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.5,\n 45.75\n ],\n [\n -123.5,\n 45.375\n ],\n [\n -122.5,\n 45.375\n ],\n [\n -122.5,\n 45.75\n ],\n [\n -123.5,\n 45.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
601 SW 2nd Avenue, Suite 1950
Portland, Oregon 97204
Growing interest in beaver-assisted restoration in the Tualatin River Basin of northwestern Oregon motivated a series of studies by the U.S. Geological Survey to assess the capacity of the stream network to support beaver dams and to evaluate the effects of beaver dams and ponds on urban streams. This multichapter volume describes the data collection from 2016–17 and the findings of these studies, which were done in partnership with Clean Water Services. Chapter A documents the locations of beaver dams in the Tualatin River Basin and how many beaver dams the stream network could support with existing and improved riparian vegetation. Beaver dam capacity was estimated by modifying existing tools to account for the low gradient of many streams in the Tualatin River Basin. Chapter B describes the effects of beaver dams and ponds on hydrologic and hydraulic responses of storm flows. Hydrologic and hydraulic responses for two urban stream reaches were compared with and without beaver dams and ponds and for a range of streamflow conditions using two-dimensional hydraulic models. Chapter C characterizes the effects of beaver dams and ponds on the transport and deposition of suspended sediment. Continuous turbidity, discrete suspended-sediment samples, and streamflow measurements collected during storms and base-flow periods were used to assess: (1) suspended-sediment loads upstream and downstream from two beaver-affected reaches, and (2) seasonal and longitudinal turbidity patterns. Chapter D describes the effects of beaver dams and ponds on longitudinal, spatial, and seasonal water-quality patterns. Continuous and synoptic water-quality data were collected along urban stream reaches, and net ecosystem production was calculated for two beaver-affected reaches. The findings of these studies illustrate that the effects of beaver dams and ponds on hydrology, hydraulics, suspended-sediment transport and deposition, and water quality are dependent on the characteristics of a stream reach (for example, channel gradient, groundwater exchange, and riparian vegetation) and the characteristics of beaver dams and ponds along that reach. This information can be used to consider the implications of beaver-assisted restoration in the Tualatin River Basin and the effects of beaver dams and ponds in urban streams.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255039","collaboration":"Prepared in cooperation with Clean Water Services","usgsCitation":"Jones, K.L, and Smith, C.D., eds., Beavers in the Tualatin River Basin, northwestern Oregon: U.S. Geological Survey Scientific Investigations Report 2025–5039, https://doi.org/10.3133/sir20255039.","productDescription":"Chapters A-D","onlineOnly":"Y","costCenters":[],"links":[{"id":496209,"rank":2,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://doi.org/10.3133/fs20253022","text":"Fact Sheet 2025-3022","description":"FS 2025-3022","linkHelpText":"- Beaver dams and their effects on urban streams in the Tualatin River Basin, northwestern Oregon"},{"id":496091,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5039/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Tualatin River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.5,\n 45.75\n ],\n [\n -123.5,\n 45.375\n ],\n [\n -122.5,\n 45.375\n ],\n [\n -122.5,\n 45.75\n ],\n [\n -123.5,\n 45.75\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oregon Water Science Center
U.S. Geological Survey
601 SW 2nd Avenue, Suite 1950
Portland, Oregon 97204
The U.S. Geological Survey, in cooperation with the Wisconsin Department of Natural Resources and the City of Madison, evaluated how street cleaning frequency influences the pollutant removal efficiency of a stormwater treatment pond in Madison, Wisconsin (2020–24). Paired influent and effluent samples were analyzed for nutrients, sediment, and chloride under a weekly and monthly street cleaning scenario.
Results showed that less frequent cleaning (monthly frequency) led to higher pollutant accumulation on streets, increasing influent concentrations of nitrogen and sediment. This, in turn, allowed the pond to achieve higher overall load-reduction percentage compared to weekly cleaning, particularly for total suspended sediment, total nitrogen, and total phosphorus. Dissolved phosphorus was an exception where removal was significantly greater under weekly cleaning. One explanation could be related to internal phosphorus release from pond sediments under anoxic conditions. Nearly all events showed net export of chloride from the pond, with effluent loads exceeding influent loads for both street cleaning frequencies.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255096","collaboration":"Prepared in cooperation with the Wisconsin Department of Natural Resources and City of Madison","programNote":"Cooperative Research Units","usgsCitation":"Selbig, W.R., Thiboldeaux, S., and Gaebler, P., 2025, The role of street cleaning on the water-quality performance of a stormwater treatment pond in Madison, Wisconsin: U.S. Geological Survey Scientific Investigations Report 2025–5096, 17 p., https://doi.org/10.3133/sir20255096.","productDescription":"Report: vi, 17 p.; Data Release","numberOfPages":"28","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-175884","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":496075,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255096/full"},{"id":496073,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5096/images/"},{"id":496071,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5096/sir20255096.pdf","text":"Report","size":"12 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5094"},{"id":496074,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13JQZXF","text":"USGS data release","linkHelpText":"Stormwater treatment pond water-quality load and concentration data at Cherokee Park, Madison, Wisconsin, 2020–24"},{"id":496072,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5096/sir20255096.XML"},{"id":496056,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5096/coverthb.jpg"}],"country":"United States","state":"Wisconsin","city":"Madison","otherGeospatial":"Cherokee Park stormwater pond","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -89.26586492676249,\n 43.19105202225663\n ],\n [\n -89.52551265962002,\n 43.19105202225663\n ],\n [\n -89.52551265962002,\n 43.02971686911792\n ],\n [\n -89.26586492676249,\n 43.02971686911792\n ],\n [\n -89.26586492676249,\n 43.19105202225663\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Water Science Center
U.S. Geological Survey
8505 Research Way
Middleton, WI 53562