{"pageNumber":"10","pageRowStart":"225","pageSize":"25","recordCount":16437,"records":[{"id":70273791,"text":"70273791 - 2025 - Pyrethroid insecticide pollution of wetlands reduces amphipod density","interactions":[],"lastModifiedDate":"2026-01-30T16:04:39.956184","indexId":"70273791","displayToPublicDate":"2025-03-28T08:58:07","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Pyrethroid insecticide pollution of wetlands reduces amphipod density","docAbstract":"<p><span id=\"_mce_caret\" data-mce-bogus=\"1\" data-mce-type=\"format-caret\"><span>Freshwater amphipods play a key role as forage for breeding and migrating waterfowl in wetlands throughout the Prairie Pothole Region (PPR) of North America. Amphipod populations declined in recent decades, but there is a limited understanding of mechanisms for their decline and their uneven distribution across the landscape. Row crop agriculture is abundant in the PPR, but the sensitivity of amphipods and wetland ecosystems to agrochemical pollution has rarely been studied. We investigated relationships among amphipod abundances (specifically,&nbsp;</span><i>Gammarus lacustris</i><span>&nbsp;and&nbsp;</span><i>Hyalella azteca</i><span>), land uses, water quality, and pyrethroid insecticide contamination of wetland sediments. Our study design targeted a large gradient of amphipod abundances and accounted for water quality, hydrology, and habitat metrics that commonly influence amphipods. We found a significant, negative relationship between pyrethroid concentrations and the abundance of the two amphipod species. Pyrethroids were detected at relatively low concentrations (&lt;2.5 ng/g sediment) in 44% of study wetlands and occurred most frequently in intensively cropped watersheds with low vegetative filter strip coverage. Interestingly, wetlands on state and federal wildlife reserves had regular occurrence of pyrethroids, demonstrating the pervasive transport of these compounds and the intensity of agriculture in the PPR. The pyrethroids are likely entering these wetlands through overland transport during rain events or aerial spray drift, and our results show that forest patches and vegetative filter strips may reduce pyrethroid exposure to both wetlands and amphipods.</span></span></p>","language":"English","publisher":"Springer Nature","doi":"10.1007/s10646-025-02863-2","usgsCitation":"Keith, B.R., Larson, D.M., Isaacson, C.W., Anteau, M.J., Fitzpatrick, M.J., and Carleen, J.D., 2025, Pyrethroid insecticide pollution of wetlands reduces amphipod density: Ecotoxicology, v. 34, p. 792-804, https://doi.org/10.1007/s10646-025-02863-2.","productDescription":"13 p.","startPage":"792","endPage":"804","ipdsId":"IP-170634","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":499356,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"North America","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -167.711944961062,\n              69.39512607851276\n            ],\n            [\n              -169.94487740692884,\n              55.30502246489219\n            ],\n            [\n              -109.8070101534554,\n              14.068009981521612\n            ],\n            [\n              -84.25871812289304,\n              16.57082743917816\n            ],\n            [\n              -87.01520994777297,\n              25.945233994551494\n            ],\n            [\n              -79.53831443227689,\n              24.37759645049158\n            ],\n            [\n              -47.797114625426275,\n              48.19321998749109\n            ],\n            [\n              -80.72053982350263,\n              69.39512607851276\n            ],\n            [\n              -151.1634675693529,\n              74.5935968653159\n            ],\n            [\n              -167.711944961062,\n              69.39512607851276\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"34","noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Keith, Breanna R.","contributorId":365790,"corporation":false,"usgs":false,"family":"Keith","given":"Breanna","middleInitial":"R.","affiliations":[{"id":27731,"text":"Bemidji State University","active":true,"usgs":false}],"preferred":false,"id":954801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Danelle M. 0000-0001-6349-6267","orcid":"https://orcid.org/0000-0001-6349-6267","contributorId":228838,"corporation":false,"usgs":true,"family":"Larson","given":"Danelle","email":"","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":954802,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Isaacson, Carl W.","contributorId":365791,"corporation":false,"usgs":false,"family":"Isaacson","given":"Carl","middleInitial":"W.","affiliations":[{"id":27731,"text":"Bemidji State University","active":true,"usgs":false}],"preferred":false,"id":954803,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Anteau, Michael J. 0000-0002-5173-5870 manteau@usgs.gov","orcid":"https://orcid.org/0000-0002-5173-5870","contributorId":3427,"corporation":false,"usgs":true,"family":"Anteau","given":"Michael","email":"manteau@usgs.gov","middleInitial":"J.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":954804,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fitzpatrick, Megan J.","contributorId":365792,"corporation":false,"usgs":false,"family":"Fitzpatrick","given":"Megan","middleInitial":"J.","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":954805,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Carleen, Jake D.","contributorId":365793,"corporation":false,"usgs":false,"family":"Carleen","given":"Jake","middleInitial":"D.","affiliations":[{"id":27731,"text":"Bemidji State University","active":true,"usgs":false}],"preferred":false,"id":954806,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70265535,"text":"70265535 - 2025 - A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model","interactions":[{"subject":{"id":70265535,"text":"70265535 - 2025 - A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model","indexId":"70265535","publicationYear":"2025","noYear":false,"title":"A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model"},"predicate":"SUPERSEDED_BY","object":{"id":70272242,"text":"70272242 - 2025 - Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model","indexId":"70272242","publicationYear":"2025","noYear":false,"title":"Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model"},"id":1}],"supersededBy":{"id":70272242,"text":"70272242 - 2025 - Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model","indexId":"70272242","publicationYear":"2025","noYear":false,"title":"Technical note: A low-cost approach to monitoring relative streamflow dynamics in small headwater streams using time lapse imagery and a deep learning model"},"lastModifiedDate":"2025-11-24T17:09:06.905617","indexId":"70265535","displayToPublicDate":"2025-03-28T08:41:30","publicationYear":"2025","noYear":false,"publicationType":{"id":27,"text":"Preprint"},"publicationSubtype":{"id":32,"text":"Preprint"},"seriesTitle":{"id":20900,"text":"EGUSphere","active":true,"publicationSubtype":{"id":32}},"title":"A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model","docAbstract":"<p><span>Despite their ubiquity and importance as freshwater habitat, small headwater streams are under monitored by existing stream gage networks. To address this gap, we describe a low-cost, non-contact, and low-effort method that enables organizations to monitor streamflow dynamics in small headwater streams. The method uses a camera to capture repeat images of the stream from a fixed position. A person then annotates pairs of images, in each case indicating which image has more apparent streamflow or indicating equal flow if no difference is discernible. A deep learning modelling framework called Streamflow Rank Estimation (SRE) is then trained on the annotated image pairs and applied to rank all images from highest to lowest apparent streamflow. From this result a relative hydrograph can be derived. We found that our modelled relative hydrograph dynamics matched the observed hydrograph dynamics well for 11 cameras at 8 streamflow sites in western Massachusetts. Higher performance was observed during the annotation period (median Kendall’s Tau rank correlation 0.75 with range 0.6–0.83) than after it (median Kendall’s Tau 0.59 with range 0.34 – 0.74). We found that annotation performance was generally consistent across the eleven camera sites and two individual annotators and was positively correlated with streamflow variability at a site. A scaling simulation determined that model performance improvements were limited after 1,000 annotation pairs. Our model’s estimates of relative flow, while not equivalent to absolute flow, may still be useful for many applications, such as ecological modelling and calculating event-based hydrological statistics (e.g., the number of out-of-bank floods). We anticipate this method will be a valuable tool to extend existing stream monitoring networks and provide new insights on dynamic headwater systems.</span></p>","language":"English","publisher":"EGUSphere","doi":"10.5194/egusphere-2025-1186","usgsCitation":"Goodling, P.J., Fair, J.H., Gupta, A., Walker, J.D., Dubreuil, T., Hayden, M.J., and Letcher, B., 2025, A low-cost approach to monitoring streamflow dynamics in small, headwater streams using timelapse imagery and a deep learning model: EGUSphere, preprint posted March 28, 2025, https://doi.org/10.5194/egusphere-2025-1186.","productDescription":"26 p.","ipdsId":"IP-171724","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488204,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5194/egusphere-2025-1186","text":"Publisher Index Page"},{"id":484489,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2025-03-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Goodling, Phillip J. 0000-0001-5715-8579","orcid":"https://orcid.org/0000-0001-5715-8579","contributorId":239738,"corporation":false,"usgs":true,"family":"Goodling","given":"Phillip","email":"","middleInitial":"J.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fair, Jennifer H. 0000-0002-9902-1893","orcid":"https://orcid.org/0000-0002-9902-1893","contributorId":245941,"corporation":false,"usgs":true,"family":"Fair","given":"Jennifer","middleInitial":"H.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932971,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Gupta, Amrita 0000-0003-2643-5865","orcid":"https://orcid.org/0000-0003-2643-5865","contributorId":264600,"corporation":false,"usgs":false,"family":"Gupta","given":"Amrita","email":"","affiliations":[{"id":54512,"text":"Georgia Institute of Techniology","active":true,"usgs":false}],"preferred":false,"id":932972,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walker, Jeffrey D. 0000-0003-1923-6550","orcid":"https://orcid.org/0000-0003-1923-6550","contributorId":244114,"corporation":false,"usgs":false,"family":"Walker","given":"Jeffrey","middleInitial":"D.","affiliations":[{"id":48839,"text":"Walker Environmental Research LLC","active":true,"usgs":false}],"preferred":false,"id":932973,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dubreuil, Todd 0000-0003-0189-4336","orcid":"https://orcid.org/0000-0003-0189-4336","contributorId":217872,"corporation":false,"usgs":true,"family":"Dubreuil","given":"Todd","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":932974,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayden, Michael J. 0000-0002-9010-6831","orcid":"https://orcid.org/0000-0002-9010-6831","contributorId":291388,"corporation":false,"usgs":true,"family":"Hayden","given":"Michael","middleInitial":"J.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":932975,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Letcher, Benjamin 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":242666,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":932976,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70264759,"text":"fs20253006 - 2025 - Fiber-optic distributed temperature sensing of hydrologic processes—Diverse deployments and new applications by the U.S. Geological Survey","interactions":[],"lastModifiedDate":"2025-03-25T13:57:23.669017","indexId":"fs20253006","displayToPublicDate":"2025-03-24T14:45:00","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":"2025-3006","displayTitle":"Fiber-Optic Distributed Temperature Sensing of Hydrologic Processes—Diverse Deployments and New Applications by the U.S. Geological Survey","title":"Fiber-optic distributed temperature sensing of hydrologic processes—Diverse deployments and new applications by the U.S. Geological Survey","docAbstract":"<p>Fiber-optic distributed temperature sensing instruments harness the temperature-dependent properties of glass to measure temperature continuously along optical fibers by using precise pulses of laser light. In the mid-2000s, this technology was refined for environmental monitoring purposes such as snowpack-air exchange, groundwater/surface-water exchange, and lake-water stratification. Fiber-optic distributed temperature sensing has revealed unprecedented details about preferential flow processes; however, the method is labor intensive and requires specific training, resulting in limited use by the broader water community. With the ongoing national implementation of the U.S. Geological Survey Next Generation Water Observing System, there has been renewed interest in harnessing the unique spatiotemporal monitoring capabilities of fiber-optic distributed temperature sensing. This fact sheet briefly describes this technology, highlights uses by the U.S. Geological Survey, and discusses current applications and future opportunities.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20253006","programNote":"Groundwater and Streamflow Information Program","usgsCitation":"Briggs, M.A., Rey, D.M., Opatz, C.C., Terry, N.C., Newman, C.P., Gruhn, L.R., and Johnson, C.D., 2025, Fiber-optic distributed temperature sensing of hydrologic processes—Diverse deployments and new applications by the U.S. Geological Survey: U.S. Geological Survey Fact Sheet 2025–3006, 6 p., https://doi.org/10.3133/fs20253006.","productDescription":"6 p.","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-163064","costCenters":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":483673,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2025/3006/coverthb.jpg"},{"id":483674,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2025/3006/fs20253006.pdf","text":"Report","size":"17.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2025-3006 PDF"},{"id":483675,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/fs20253006/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"FS 2025-3006 HTML"},{"id":483676,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/fs/2025/3006/fs20253006.XML","linkFileType":{"id":8,"text":"xml"},"description":"FS 2025-3006 XML"},{"id":483677,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/fs/2025/3006/images/"}],"contact":"<p>Program Manager, <a href=\"https://www.usgs.gov/mission-areas/water-resources/science/next-generation-water-observing-system-ngwos\" data-mce-href=\"https://www.usgs.gov/mission-areas/water-resources/science/next-generation-water-observing-system-ngwos\">Next Generation Water Observing System</a><br>Water Resources Mission Area<br>U.S. Geological Survey<br>12201 Sunrise Valley Drive<br>Reston, VA 20192</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>What Is Fiber-Optic Distributed Temperature Sensing, and How Has It Been Used by the U.S. Geological Survey?</li><li>Examples of FO–DTS Applied to Diverse Hydrologic Monitoring</li><li>Application to U.S. Geological Survey Hydrologic Monitoring Technology Testbeds</li><li>Opportunities for Broader Implementation of FO–DTS Monitoring</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2025-03-24","noUsgsAuthors":false,"publicationDate":"2025-03-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":931552,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rey, David M. 0000-0003-2629-365X","orcid":"https://orcid.org/0000-0003-2629-365X","contributorId":211848,"corporation":false,"usgs":true,"family":"Rey","given":"David M.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":931553,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Opatz, Chad C. 0000-0002-5272-0195 copatz@usgs.gov","orcid":"https://orcid.org/0000-0002-5272-0195","contributorId":167704,"corporation":false,"usgs":true,"family":"Opatz","given":"Chad C.","email":"copatz@usgs.gov","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931554,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":931555,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Newman, Connor P. 0000-0002-6978-3440","orcid":"https://orcid.org/0000-0002-6978-3440","contributorId":222596,"corporation":false,"usgs":true,"family":"Newman","given":"Connor","email":"","middleInitial":"P.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931556,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gruhn, Lance R. 0000-0002-7120-3003 lgruhn@usgs.gov","orcid":"https://orcid.org/0000-0002-7120-3003","contributorId":219710,"corporation":false,"usgs":true,"family":"Gruhn","given":"Lance","email":"lgruhn@usgs.gov","middleInitial":"R.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931557,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Carole D. 0000-0001-6941-1578","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":245365,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":931558,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70265612,"text":"70265612 - 2025 - Ranking river basins for stream temperature research and monitoring in the contiguous United States","interactions":[],"lastModifiedDate":"2025-04-14T16:30:55.176106","indexId":"70265612","displayToPublicDate":"2025-03-23T09:24:20","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Ranking river basins for stream temperature research and monitoring in the contiguous United States","docAbstract":"There is a need to prioritize research and data collection in river basins by integrating information from environmental, ecological, and socioeconomic datasets to maintain acceptable water quality for human uses and ecosystem health. Multiple anthropogenic and natural stressors are responsible for driving changes in stream temperatures that can alter ecosystems and degrade water quality. These stressors are variable spatially and temporally, which can be challenging for prioritizing monitoring and research. In this study, an evaluation of variables related to stream temperature was performed for 163 candidate basins of the contiguous United States to highlight potential focal areas. Thirty variables were combined in six components: anthropogenic forcing, natural forcing, climate change, ecological sensitivity, socioeconomic sensitivity, and data availability. The components were incorporated into three themes: vulnerability of streams to thermal change, vulnerability of ecosystems, and vulnerability of communities. By evaluating each theme separately, patterns of vulnerability and potential resiliency were identified as well as consistency in ranks within the themes. For example, results of the national scale ranking indicated the Southern California Coastal basin (within California-Nevada region) was the highest-ranking priority in vulnerability of streams to thermal change and vulnerability of ecosystems. The analysis also identified vulnerable basins with gaps in monitoring. For example, the Missouri-Oahe basin (within the Northern High Plains region) was the highest-ranking priority for vulnerable communities with limitations in data availability. The ranking approach provides insight into basins that are resilient and are ideal candidates for monitoring and research.","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2025.133163","usgsCitation":"Naranjo, R.C., Johnson, Z., Lucas, L., Baker, N.T., and Green, C., 2025, Ranking river basins for stream temperature research and monitoring in the contiguous United States: Journal of Hydrology, v. 658, 133163, 15 p., https://doi.org/10.1016/j.jhydrol.2025.133163.","productDescription":"133163, 15 p.","ipdsId":"IP-157155","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":488228,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jhydrol.2025.133163","text":"Publisher Index Page"},{"id":484513,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n  \"type\": 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rnaranjo@usgs.gov","orcid":"https://orcid.org/0000-0003-4469-6831","contributorId":3391,"corporation":false,"usgs":true,"family":"Naranjo","given":"Ramon","email":"rnaranjo@usgs.gov","middleInitial":"C.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933108,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, Zachary 0000-0002-0149-5223 zjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-0149-5223","contributorId":190399,"corporation":false,"usgs":true,"family":"Johnson","given":"Zachary","email":"zjohnson@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":933109,"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":933110,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Baker, Nancy T. 0000-0002-7979-5744","orcid":"https://orcid.org/0000-0002-7979-5744","contributorId":222870,"corporation":false,"usgs":true,"family":"Baker","given":"Nancy","email":"","middleInitial":"T.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":933111,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Green, Christopher 0000-0002-6480-8194","orcid":"https://orcid.org/0000-0002-6480-8194","contributorId":201642,"corporation":false,"usgs":true,"family":"Green","given":"Christopher","email":"","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":933112,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70265231,"text":"70265231 - 2025 - Linking environmental variability to long-term demographic change of an endangered species using integrated population models","interactions":[],"lastModifiedDate":"2025-05-12T15:43:41.572164","indexId":"70265231","displayToPublicDate":"2025-03-21T09:21:56","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2163,"text":"Journal of Applied Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Linking environmental variability to long-term demographic change of an endangered species using integrated population models","docAbstract":"<ol class=\"\"><li>Understanding how species populations change with environmental conditions is important for implementing effective habitat management and conservation strategies. Challenges to evaluating population-level responses to environmental conditions arise when data are sparse or not spatiotemporally aligned, especially for at-risk species with small, declining numbers.</li><li>We synthesized 30 years (1992–2021) of three partially aligned data sets to build a Bayesian integrated population model (IPM) and evaluate demographic and environmental drivers of growth rates for six separately managed ‘subpopulations’ (A–F) of the federally endangered Cape Sable seaside sparrow endemic to the Florida Everglades.</li><li>We found that juvenile survival peaked at inundation periods (hydroperiods) around 100–220 days and dropped sharply outside those values, while adult survival increased with longer periods of water depth &lt;20 cm, but not with longer periods of water depth &gt;20 cm. Fecundity increased when water depths were more stable, more area was dry, intervals between fires were longer and less area was burned.</li><li>Changes in population growth rates tended to occur in years that juvenile and adult survival were associated with hydroperiod, especially in the two largest subpopulations B and E. Population growth rates were also associated with hydrologic conditions during the breeding season and fire dynamics through changes in fecundity, most notably in the smaller subpopulations A, C/F and D.</li><li><i>Synthesis and applications</i>. Our IPM represents the first long-term population analysis of the Cape Sable seaside sparrow connecting demographic processes to environmental factors. Our results suggest that sustaining periods of shallow water year-round may enhance Cape Sable seaside sparrow survival and population growth. Also, limiting water depth variability and maintaining dry conditions during the breeding season and inhibiting fires in consecutive years may increase fecundity and population growth. Identifying the mechanistic links between environmental and population dynamics could inform how species are expected to respond to management decisions and anticipated ecosystem changes.</li></ol>","language":"English","publisher":"British Ecological Society","doi":"10.1111/1365-2664.70038","collaboration":"U.S. Fish and Wildlife Service, National Park Service","usgsCitation":"Martinez, M.T., D’Acunto, L., and Romanach, S., 2025, Linking environmental variability to long-term demographic change of an endangered species using integrated population models: Journal of Applied Ecology, v. 62, no. 5, p. 1137-1151, https://doi.org/10.1111/1365-2664.70038.","productDescription":"15 p.","startPage":"1137","endPage":"1151","ipdsId":"IP-163974","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":488471,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1365-2664.70038","text":"Publisher Index Page"},{"id":484130,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -81.27756478832899,\n              25.9167\n            ],\n            [\n              -81.27756478832899,\n              25.0833\n            ],\n            [\n              -80.40679117600436,\n              25.0833\n            ],\n            [\n              -80.40679117600436,\n              25.9167\n            ],\n            [\n              -81.27756478832899,\n              25.9167\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"62","issue":"5","noUsgsAuthors":false,"publicationDate":"2025-03-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Martinez, Marisa Takada 0000-0002-1915-6019","orcid":"https://orcid.org/0000-0002-1915-6019","contributorId":304805,"corporation":false,"usgs":true,"family":"Martinez","given":"Marisa","email":"","middleInitial":"Takada","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":932551,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"D’Acunto, Laura 0000-0001-6227-0143","orcid":"https://orcid.org/0000-0001-6227-0143","contributorId":215343,"corporation":false,"usgs":true,"family":"D’Acunto","given":"Laura","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":932552,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Romanach, Stephanie 0000-0003-0271-7825","orcid":"https://orcid.org/0000-0003-0271-7825","contributorId":223479,"corporation":false,"usgs":true,"family":"Romanach","given":"Stephanie","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":932553,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70264694,"text":"ofr20251004 - 2025 - Science needs for determining the effects of climate change on harmful algal blooms in the southeastern United States","interactions":[],"lastModifiedDate":"2025-03-26T19:46:15.392167","indexId":"ofr20251004","displayToPublicDate":"2025-03-20T13:10:17","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2025-1004","displayTitle":"Science Needs for Determining the Effects of Climate Change on Harmful Algal Blooms in the Southeastern United States","title":"Science needs for determining the effects of climate change on harmful algal blooms in the southeastern United States","docAbstract":"<p>The Southeastern United States has many lakes, streams, and reservoirs that serve as important drinking water sources with recreational, agricultural, and ecological uses. However, harmful algal blooms (HABs) are becoming more common in these waters, causing health issues for humans and animals. HABs have been listed as a contaminant of emerging concern, and the magnitude, frequency, and duration of HABs appear to be increasing at the global scale. While it is well known that nutrients stimulate algae growth, it is not clear how climate change and other parameters stimulate the development of toxin production by HABs. The scientific literature describes parameters, such as storm occurrence, temperature, dissolved metals, erosion of soils, increasing length of growing season, discharge, and hydroperiod, that may affect algae growth and toxin production. Climate and hydrologic models address many of the physical and environmental parameters that influence HABs, but no climate models directly address HABs. This report compiles information from the existing literature pertaining to HABs and the modeling and forecasting of HABS. This compilation is done through the incorporation of climate change models. HAB research that involves climate change will require multiple disciplines that bring together ecologists, hydrologists, climatologists, engineers, economists, and new technology. Resource managers could use geographic data about the occurrence and distribution of HABs to develop models that identify waterbodies more vulnerable to HAB events. Development of such models will require teams capable of integrating biological, chemical, and physical factors. Model development will require additional research that can resolve anthropogenic and climate-related environmental factors to identify trends in freshwater HABs. The complexity and interconnectedness of the parameters that influence HAB occurrences will make model development challenging and require rigorous regional calibration.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20251004","issn":"2331-1258","collaboration":"Prepared in cooperation with the Southeast Climate Adaptation Science Center and  Tennessee State University","usgsCitation":"Byl, T.D., Moore, D.M., Cunningham, C., and Young, D., 2025, Science needs for determining the effects of climate change on harmful algal blooms in the southeastern United States: U.S. Geological Survey Open-File Report 2025–1004, 29 p., https://doi.org/10.3133/ofr20251004.","productDescription":"vii, 29 p.","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-156959","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":483554,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20251004/full","linkFileType":{"id":5,"text":"html"},"description":"OFR 2025-1004 HTML"},{"id":483549,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2025/1004/coverthb.jpg"},{"id":483553,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2025/1004/ofr20251004.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR 2025-1004 XML"},{"id":483551,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2025/1004/ofr20251004.pdf","size":"7.45 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2025-1004"},{"id":483550,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2025/1004/images"}],"contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/lmg-water/\" href=\"https://www.usgs.gov/centers/lmg-water/\">Lower Mississippi-Gulf Water Science Center</a><br>U.S. Geological Survey<br>640 Grassmere Park, Suite 100<br>Nashville, TN 37211<br></p><p><a id=\"LPlnkOWAb30f03cb-e6c0-c412-988f-235c353ce0b0\" class=\"OWAAutoLink\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-olk-copy-source=\"MailCompose\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Background on HABs and Cyanobacteria</li><li>Drivers of HAB Events</li><li>Development of Models</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-03-20","noUsgsAuthors":false,"publicationDate":"2025-03-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Byl, Tom D. 0000-0001-6907-9149","orcid":"https://orcid.org/0000-0001-6907-9149","contributorId":352440,"corporation":false,"usgs":true,"family":"Byl","given":"Tom D.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931296,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Devin M. 0009-0003-6919-8625","orcid":"https://orcid.org/0009-0003-6919-8625","contributorId":352441,"corporation":false,"usgs":false,"family":"Moore","given":"Devin M.","affiliations":[{"id":13370,"text":"Tennessee State University","active":true,"usgs":false}],"preferred":true,"id":931297,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cunningham, Champagne 0000-0001-6318-5434","orcid":"https://orcid.org/0000-0001-6318-5434","contributorId":352442,"corporation":false,"usgs":true,"family":"Cunningham","given":"Champagne","affiliations":[],"preferred":true,"id":931301,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Young, De’Etra","contributorId":352443,"corporation":false,"usgs":false,"family":"Young","given":"De’Etra","affiliations":[{"id":13370,"text":"Tennessee State University","active":true,"usgs":false}],"preferred":true,"id":931300,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264658,"text":"sir20255013 - 2025 - Hydrogeologic investigation, framework, and conceptual flow model of the Antlers aquifer, southeastern Oklahoma, 1980–2022","interactions":[],"lastModifiedDate":"2025-07-23T17:11:15.939504","indexId":"sir20255013","displayToPublicDate":"2025-03-19T11:57:37","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":"2025-5013","displayTitle":"Hydrogeologic Investigation, Framework, and Conceptual Flow Model of the Antlers Aquifer, Southeastern Oklahoma, 1980–2022","title":"Hydrogeologic investigation, framework, and conceptual flow model of the Antlers aquifer, southeastern Oklahoma, 1980–2022","docAbstract":"<p>The 1973 Oklahoma Groundwater Law (Oklahoma Statute §82–1020.5) requires that the Oklahoma Water Resources Board conduct hydrologic investigations of the State’s groundwater basins to support a determination of the maximum annual yield for each groundwater basin. Every 20 years, the Oklahoma Water Resources Board is required to update the hydrologic investigation on which the maximum annual yield determinations were based. The maximum annual yield allocated per acre of land is used to set the equal-proportionate share pumping rate. The maximum annual yield of 5,913,600 acre-feet per year and equal-proportionate-share of 2.1 acre-feet per acre per year currently (2025) in place for the Antlers aquifer were issued by the Oklahoma Water Resources Board on February 14, 1995. Because more than 20 years have elapsed since the 1995 final order for the Antlers aquifer was issued, the U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, completed an in-depth hydrologic study that included a hydrogeologic framework and conceptual groundwater-flow model for the 1980–2022 study period.</p><p>The results of an analysis of land use, long-term climate patterns, streamflow and base-flow patterns, historical groundwater use, as well as groundwater-level fluctuations across the Antlers aquifer are described. In addition, groundwater quality was analyzed for total dissolved solids concentrations and major ions for the Antlers aquifer. An updated hydrogeologic framework was developed that included refining the aquifer boundary in Oklahoma, the creation of new potentiometric surface and saturated thickness of fresh groundwater maps, one multiple-well aquifer test, slug tests, and an analysis of lithologic logs across the aquifer. A conceptual groundwater flow model and water budget were developed by incorporating estimates of recharge from precipitation, saturated-zone evapotranspiration, streambed seepage, lateral groundwater flows, vertical leakage, and withdrawals from groundwater wells.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255013","issn":"2328-0328","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board","usgsCitation":"Fetkovich, E.J., Morris, A.S., Dale, I.A., Codner, C., Kirby, E.A., Baciocco, C.A., Rogers, I.M.J., Wagner, D.L., Tomlinson, Z.D., and Fiorentino, E.G., 2025, Hydrogeologic investigation, framework, and conceptual flow model of the Antlers aquifer, southeastern Oklahoma, 1980–2022: U.S. Geological Survey Scientific Investigations Report 2025–5013, 55 p., https://doi.org/10.3133/sir20255013.","productDescription":"Report: x, 55 p.; Data Release; Dataset","numberOfPages":"70","onlineOnly":"Y","ipdsId":"IP-149893","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":492792,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118496.htm","linkFileType":{"id":5,"text":"html"}},{"id":483543,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255013/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2025-5013 HTML"},{"id":483492,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://waterdata.usgs.gov/nwis","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":483491,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14C6QFS","text":"USGS Data Release","linkHelpText":"- Soil-water-balance model and data used in the hydrogeologic investigation, framework, and conceptual flow model of the Antlers aquifer, southeastern Oklahoma, 1967–2022"},{"id":483483,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5013/coverthb.jpg"},{"id":483484,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5013/images"},{"id":483485,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5013/sir20255013.pdf","size":"41 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5013"},{"id":483542,"rank":6,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5013/sir20255013.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5013 XML"}],"country":"United States","state":"Oklahoma, Texas","otherGeospatial":"Antlers aquifer study","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -97.55,\n              34.5\n            ],\n            [\n              -97.55,\n              33.25\n            ],\n            [\n              -94.5,\n              33.25\n            ],\n            [\n              -94.5,\n              34.5\n            ],\n            [\n              -97.55,\n              34.5\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/ot-water\" href=\"https://www.usgs.gov/centers/ot-water\">Oklahoma-Texas Water Science Center</a><br>U.S. Geological Survey<br>1505 Ferguson Lane<br>Austin, TX 78754–4501</p><p><a id=\"LPlnkOWAb30f03cb-e6c0-c412-988f-235c353ce0b0\" class=\"OWAAutoLink\" href=\"https://pubs.usgs.gov/contact\" data-auth=\"NotApplicable\" data-mce-href=\"../contact\">Contact Us- USGS Publications Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments&nbsp;</li><li>Abstract</li><li>Introduction</li><li>Hydrogeology of the Antlers Aquifer and Surrounding Units</li><li>Hydrogeologic Framework of the Antlers Aquifer</li><li>Conceptual Groundwater Flow Model and Water Budget</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-03-19","noUsgsAuthors":false,"publicationDate":"2025-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Fetkovich, Evin J. 0000-0002-8899-8543","orcid":"https://orcid.org/0000-0002-8899-8543","contributorId":328666,"corporation":false,"usgs":true,"family":"Fetkovich","given":"Evin","email":"","middleInitial":"J.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morris, Amy S. 0000-0002-9847-5607","orcid":"https://orcid.org/0000-0002-9847-5607","contributorId":352415,"corporation":false,"usgs":true,"family":"Morris","given":"Amy S.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931134,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dale, Isaac A. 0000-0003-0844-0193","orcid":"https://orcid.org/0000-0003-0844-0193","contributorId":352322,"corporation":false,"usgs":true,"family":"Dale","given":"Isaac A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931135,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Codner, Chloe 0009-0009-6577-8706","orcid":"https://orcid.org/0009-0009-6577-8706","contributorId":352321,"corporation":false,"usgs":true,"family":"Codner","given":"Chloe","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931136,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirby, Ethan A. 0000-0001-7521-5477","orcid":"https://orcid.org/0000-0001-7521-5477","contributorId":352416,"corporation":false,"usgs":true,"family":"Kirby","given":"Ethan A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931137,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baciocco, Colin A. 0000-0002-9548-9077","orcid":"https://orcid.org/0000-0002-9548-9077","contributorId":352323,"corporation":false,"usgs":true,"family":"Baciocco","given":"Colin A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931147,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rogers, Ian M.J. 0000-0001-8492-5358","orcid":"https://orcid.org/0000-0001-8492-5358","contributorId":46036,"corporation":false,"usgs":true,"family":"Rogers","given":"Ian","email":"","middleInitial":"M.J.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":931139,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Wagner, Derrick L. 0000-0002-9291-7785","orcid":"https://orcid.org/0000-0002-9291-7785","contributorId":345145,"corporation":false,"usgs":false,"family":"Wagner","given":"Derrick","email":"","middleInitial":"L.","affiliations":[{"id":18135,"text":"Oklahoma Water Resources Board","active":true,"usgs":false}],"preferred":true,"id":931140,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Tomlinson, Zachary D.","contributorId":352418,"corporation":false,"usgs":false,"family":"Tomlinson","given":"Zachary D.","affiliations":[{"id":18135,"text":"Oklahoma Water Resources Board","active":true,"usgs":false}],"preferred":true,"id":931141,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Eric G. Fiorentino","contributorId":351558,"corporation":false,"usgs":false,"family":"Eric G. Fiorentino","affiliations":[{"id":18135,"text":"Oklahoma Water Resources Board","active":true,"usgs":false}],"preferred":false,"id":931142,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70264423,"text":"70264423 - 2025 - Hydrological whiplash: Highlighting the need for better understanding and quantification of sub-seasonal hydrological extreme transitions","interactions":[],"lastModifiedDate":"2025-03-31T14:48:27.054575","indexId":"70264423","displayToPublicDate":"2025-03-19T09:44:51","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Hydrological whiplash: Highlighting the need for better understanding and quantification of sub-seasonal hydrological extreme transitions","docAbstract":"<p><span>In this commentary, we aim to (1) describe ways that hydrological intensification and hydrological whiplash (sub-seasonal transitions between hydrological extremes) may impact water management decision-making, (2) introduce the complexities of identifying and quantifying hydrological extreme transitions, (3) discuss the processes controlling hydrological transitions and trends in hydrological extremes through time, (4) discuss considerations involved in modeling hydrological extreme transitions, and (5) motivate additional research by suggesting priority research questions that diverge from an assumption of independence between extreme events.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70113","usgsCitation":"Hammond, J., Anderson, B., Simeone, C., Brunner, M., Munoz-Castro, E., Archfield, S.A., Magee, E., and Armitage, R., 2025, Hydrological whiplash: Highlighting the need for better understanding and quantification of sub-seasonal hydrological extreme transitions: Hydrological Processes, v. 39, no. 3, e70113, 9 p., https://doi.org/10.1002/hyp.70113.","productDescription":"e70113, 9 p.","ipdsId":"IP-174142","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":484020,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Hammond, John C. 0000-0002-4935-0736","orcid":"https://orcid.org/0000-0002-4935-0736","contributorId":223108,"corporation":false,"usgs":true,"family":"Hammond","given":"John C.","affiliations":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930712,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Bailey","contributorId":352305,"corporation":false,"usgs":false,"family":"Anderson","given":"Bailey","affiliations":[{"id":40606,"text":"WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland","active":true,"usgs":false}],"preferred":false,"id":930715,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simeone, Caelan 0000-0003-3263-6452","orcid":"https://orcid.org/0000-0003-3263-6452","contributorId":221008,"corporation":false,"usgs":true,"family":"Simeone","given":"Caelan","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930713,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brunner, Manuela","contributorId":352306,"corporation":false,"usgs":false,"family":"Brunner","given":"Manuela","affiliations":[{"id":40606,"text":"WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland","active":true,"usgs":false}],"preferred":false,"id":930716,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Munoz-Castro, Eduardo","contributorId":352307,"corporation":false,"usgs":false,"family":"Munoz-Castro","given":"Eduardo","affiliations":[{"id":40606,"text":"WSL Institute for Snow and Avalanche Research SLF, Davos Dorf, Switzerland","active":true,"usgs":false}],"preferred":false,"id":930717,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Archfield, Stacey A. 0000-0002-9011-3871 sarch@usgs.gov","orcid":"https://orcid.org/0000-0002-9011-3871","contributorId":1874,"corporation":false,"usgs":true,"family":"Archfield","given":"Stacey","email":"sarch@usgs.gov","middleInitial":"A.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":930714,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Magee, Eugene","contributorId":352308,"corporation":false,"usgs":false,"family":"Magee","given":"Eugene","affiliations":[{"id":84169,"text":"UK Centre for Ecology & Hydrology (UKCEH)","active":true,"usgs":false}],"preferred":false,"id":930718,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Armitage, Rachael","contributorId":352309,"corporation":false,"usgs":false,"family":"Armitage","given":"Rachael","affiliations":[{"id":84169,"text":"UK Centre for Ecology & Hydrology (UKCEH)","active":true,"usgs":false}],"preferred":false,"id":930719,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70264651,"text":"70264651 - 2025 - Dynamic baseflow storage estimates and the role of topography, geology and evapotranspiration on streamflow recession characteristics in the Neversink Reservoir Watershed, New York","interactions":[],"lastModifiedDate":"2025-03-18T16:31:27.341468","indexId":"70264651","displayToPublicDate":"2025-03-15T11:10:19","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Dynamic baseflow storage estimates and the role of topography, geology and evapotranspiration on streamflow recession characteristics in the Neversink Reservoir Watershed, New York","docAbstract":"<p><span>Estimates of dynamic groundwater volumes supplying baseflow to streams are important for water availability projections during extended periods of drought. The primary goals of this study were to provide dynamic storage volume estimates, inferred from streamflow recession analysis, for baseflow regimes within seven gaged catchments within the Neversink Reservoir Watershed (NRW), a critical municipal water source for New York City. Additionally, geomorphological properties, surficial geology and hydro-meteorological processes were quantified and described in relation to time and spatially variable recession behaviour and storage estimates across the NRW. To explore these relationships, we (1) evaluated seasonal trends in streamflow recession behaviour in relation to modelled potential evapotranspiration (PET) and catchment runoff rates, (2) derived empirical streamflow models for cool-season runoff using both linear and nonlinear reservoir assumptions for baseflow and (3) calculated metrics related to the geology and geomorphology of each catchment and compared these metrics to area normalised baseflow dynamic storage estimates. Results show that baseflow recession behaves as a nonlinear reservoir, and applying linear groundwater reservoir assumptions may underestimate the total dynamic storage volumes compared to what would be predicted for a nonlinear reservoir. Increases in PET caused decreases in storage conditions that resulted in increased recession rates and nonlinearity in streamflow recession during the growing season. Additionally, we found that while no single physical catchment characteristic solely predicted catchment storage dynamics, sediment volume and stream gradients were stronger predictors of normalised storage volumes than catchment surface area or surface topography alone. Within the NRW, catchments with the highest sediment volume exhibited the lowest recession rates and higher dynamic storage volumes, while the smallest catchment, mostly devoid of sediment, had the fastest recession rate and lowest dynamic storage volume.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70106","usgsCitation":"Benton, J., and Doctor, D.H., 2025, Dynamic baseflow storage estimates and the role of topography, geology and evapotranspiration on streamflow recession characteristics in the Neversink Reservoir Watershed, New York: Hydrological Processes, v. 39, no. 3, e70106, 17 p., https://doi.org/10.1002/hyp.70106.","productDescription":"e70106, 17 p.","ipdsId":"IP-163356","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":483480,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Neversink Reservoir Watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -73.95860919620127,\n              42.2147005922842\n            ],\n            [\n              -74.56712312527952,\n              42.2147005922842\n            ],\n            [\n              -74.56712312527952,\n              41.956641367777735\n            ],\n            [\n              -73.95860919620127,\n              41.956641367777735\n            ],\n            [\n              -73.95860919620127,\n              42.2147005922842\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"39","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Benton, Joshua R. 0000-0002-1698-6455","orcid":"https://orcid.org/0000-0002-1698-6455","contributorId":352387,"corporation":false,"usgs":false,"family":"Benton","given":"Joshua R.","affiliations":[{"id":84197,"text":"**please fill in","active":true,"usgs":false},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":false,"id":931072,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":931073,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70264474,"text":"sir20255011 - 2025 - Comparison of hydrologic data and water budgets between 2003–08 and 2018–23 for the eastern part of the Arbuckle-Simpson aquifer, south-central Oklahoma","interactions":[],"lastModifiedDate":"2025-07-23T17:07:13.510916","indexId":"sir20255011","displayToPublicDate":"2025-03-14T15:26:55","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":"2025-5011","displayTitle":"Comparison of Hydrologic Data and Water Budgets Between 2003–08 and 2018–23 for the Eastern Part of the Arbuckle-Simpson Aquifer, South-Central Oklahoma","title":"Comparison of hydrologic data and water budgets between 2003–08 and 2018–23 for the eastern part of the Arbuckle-Simpson aquifer, south-central Oklahoma","docAbstract":"<p>The Arbuckle-Simpson aquifer is divided spatially into three parts (eastern, central, and western). The largest groundwater withdrawals are from the eastern part of the Arbuckle-Simpson aquifer, which provides water to approximately 39,000 people in Ada and Sulphur, Oklahoma, and surrounding areas. The Arbuckle-Simpson aquifer, including the eastern part, is designated a sole source aquifer for its service area. Based primarily on data collected between 2003 and 2008, a series of comprehensive hydrologic studies of the Arbuckle-Simpson aquifer was published to provide the information necessary to perform groundwater-flow model simulations so that the Oklahoma Water Resources Board could determine how much water could be withdrawn from the aquifer while maintaining flow to springs and streams. As part of the Phase 1 studies, an aquifer water budget was developed from a numerical model for the period 2003–08. For this report, Phase 1 refers to the 2003–08 data collection period, although for some of the analyses, data collected prior to 2003 were used to inform model development work. Allocation of water from this aquifer was then established by the Oklahoma Water Resources Board in 2013. Additional well-spacing rules were also established by the Oklahoma Water Resources Board for sensitive sole source groundwater basins. To determine how the water budget for the eastern part of the Arbuckle-Simpson aquifer has changed over time, recently collected hydrologic data (2018–23) were compared to data collected during 2003–08. The analysis of changes in the aquifer water budget from 2003–08 to 2018–23 could help resource managers better understand changes in the overall balance of water in storage and the potential effects on streamflow, changes in groundwater levels, and the effects of different water uses in the aquifer area on available water in the eastern part of the Arbuckle-Simpson aquifer and streams overlying the eastern part of the Arbuckle-Simpson aquifer.<br></p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255011","issn":"2328-0328","collaboration":"Prepared in cooperation with the Oklahoma Water Resources Board and the Oka’ Institute","usgsCitation":"Mashburn, S.L., Fetkovich, E.J., Lockmiller, H.A., Codner, C., Kirby, E.A., Dale, I.A., and Baciocco, C.A., 2025, Comparison of hydrologic data and water budgets between 2003–08 and 2018–23 for the eastern part of the Arbuckle-Simpson aquifer, south-central Oklahoma: U.S. Geological Survey Scientific Investigations Report 2025–5011, 61 p., https://doi.org/10.3133/sir20255011.","productDescription":"Report: x, 61 p.; Data Release","numberOfPages":"64","onlineOnly":"Y","ipdsId":"IP-149894","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":492789,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118488.htm","linkFileType":{"id":5,"text":"html"}},{"id":483410,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255011/full","description":"SIR 2025-5011 HTML"},{"id":483409,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5011/sir20255011.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2025-5011 XML"},{"id":483365,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14UXYVV","text":"USGS Data Release","linkHelpText":"- Soil-Water-Balance model and data for Phase 1 (2003–08) and Phase 2 (2018–23) hydrologic and water-budget analyses of the eastern part of the Arbuckle-Simpson aquifer, south-central Oklahoma, 2019–22"},{"id":483364,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5011/sir20255011.pdf","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025-5011"},{"id":483363,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5011/images"},{"id":483362,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5011/coverthb.jpg"}],"country":"United States","state":"Oklahoma","otherGeospatial":"eastern part of the Arbuckle-Simpson Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -96.35,\n              34.75\n          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Data Comparison: Phase 1 to Phase 2</li><li>Water-Budget Comparison: Phase 1 to Phase 2</li><li>Future Studies and Monitoring Data</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Spring Discharge Measured in the Arbuckle-Simpson Aquifer</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2025-03-14","noUsgsAuthors":false,"publicationDate":"2025-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Mashburn, Shana L. 0000-0001-5163-778X shanam@usgs.gov","orcid":"https://orcid.org/0000-0001-5163-778X","contributorId":2140,"corporation":false,"usgs":true,"family":"Mashburn","given":"Shana","email":"shanam@usgs.gov","middleInitial":"L.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930761,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fetkovich, Evin J. 0000-0002-8899-8543","orcid":"https://orcid.org/0000-0002-8899-8543","contributorId":328666,"corporation":false,"usgs":true,"family":"Fetkovich","given":"Evin","email":"","middleInitial":"J.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lockmiller, Hayden A. 0000-0001-7605-2286","orcid":"https://orcid.org/0000-0001-7605-2286","contributorId":345227,"corporation":false,"usgs":true,"family":"Lockmiller","given":"Hayden","email":"","middleInitial":"A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930763,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Codner, Chloe 0009-0009-6577-8706","orcid":"https://orcid.org/0009-0009-6577-8706","contributorId":352321,"corporation":false,"usgs":true,"family":"Codner","given":"Chloe","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930764,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kirby, Ethan Allen 0000-0001-7521-5477","orcid":"https://orcid.org/0000-0001-7521-5477","contributorId":351554,"corporation":false,"usgs":true,"family":"Kirby","given":"Ethan Allen","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930765,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dale, Isaac A. 0000-0003-0844-0193","orcid":"https://orcid.org/0000-0003-0844-0193","contributorId":352322,"corporation":false,"usgs":true,"family":"Dale","given":"Isaac A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930766,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Baciocco, Colin A. 0000-0002-9548-9077","orcid":"https://orcid.org/0000-0002-9548-9077","contributorId":352323,"corporation":false,"usgs":true,"family":"Baciocco","given":"Colin A.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930767,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70264371,"text":"sir20255019 - 2025 - Methods for peak-flow frequency analysis for streamgages in or near Montana, North Dakota, South Dakota, and Wyoming","interactions":[],"lastModifiedDate":"2025-07-23T17:05:10.7509","indexId":"sir20255019","displayToPublicDate":"2025-03-14T12:28:30","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":"2025-5019","displayTitle":"Methods for Peak-Flow Frequency Analysis for Streamgages in or near Montana, North Dakota, South Dakota, and Wyoming","title":"Methods for peak-flow frequency analysis for streamgages in or near Montana, North Dakota, South Dakota, and Wyoming","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Montana Department of Natural Resources and Conservation, North Dakota Department of Water Resources, South Dakota Department of Transportation, and the Wyoming Water Development Office, has developed standard methods of peak-flow frequency analysis for studies in Montana, North Dakota, South Dakota, and Wyoming. These methods describe the implementation of national flood frequency guidelines described in Bulletin 17C (<a data-mce-href=\"https://doi.org/10.3133/tm4B5\" href=\"https://doi.org/10.3133/tm4B5\">https://doi.org/10.3133/tm4B5</a>) for the four States and deviations from Bulletin 17C standard procedures to accommodate unusual hydrologic conditions. A U.S. Geological Survey data release accompanying this report (<a data-mce-href=\"https://doi.org/10.5066/P1WHRK8H\" href=\"https://doi.org/10.5066/P1WHRK8H\">https://doi.org/10.5066/P1WHRK8H</a>) provides example peak-flow frequency analyses for selected streamgages in the study area. The methods described in this report can be used to publish similar data releases for other streamgages in the study area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255019","collaboration":"Prepared in cooperation with the Montana Department of Natural Resources and Conservation, North Dakota Department of Water Resources, South Dakota Department of Transportation, and Wyoming Water Development Office","usgsCitation":"Siefken, S.A., Williams-Sether, T., Barth, N.A., Chase, K.J., and Cedar Face, M.A., 2025, Methods for peak-flow frequency analysis for streamgages in or near Montana, North Dakota, South Dakota, and Wyoming: U.S. Geological Survey Scientific Investigations Report 2025–5019, 19 p., https://doi.org/10.3133/sir20255019.","productDescription":"Report: vii, 19 p.; Data Release; 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 \"}}]}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/wy-mt-water/\" data-mce-href=\"https://www.usgs.gov/centers/wy-mt-water/\">Wyoming-Montana Water Science Center</a><br>U.S. Geological Survey<br>3162 Bozeman Avenue<br>Helena, MT 59601</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Methods for At-Site Peak-Flow Frequency Analysis</li><li>Methods for Improving Peak-Flow Frequency Analyses</li><li>Methods for Peak-Flow Frequency Reporting</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-03-14","noUsgsAuthors":false,"publicationDate":"2025-03-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Siefken, Seth A. 0000-0001-5502-7903","orcid":"https://orcid.org/0000-0001-5502-7903","contributorId":292861,"corporation":false,"usgs":true,"family":"Siefken","given":"Seth","email":"","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":930557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams-Sether, Tara 0000-0001-6515-9416","orcid":"https://orcid.org/0000-0001-6515-9416","contributorId":214143,"corporation":false,"usgs":true,"family":"Williams-Sether","given":"Tara","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Barth, Nancy A. 0000-0002-7060-8244 nabarth@usgs.gov","orcid":"https://orcid.org/0000-0002-7060-8244","contributorId":298020,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":930559,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chase, Katherine J. 0000-0002-5796-4148 kchase@usgs.gov","orcid":"https://orcid.org/0000-0002-5796-4148","contributorId":454,"corporation":false,"usgs":true,"family":"Chase","given":"Katherine","email":"kchase@usgs.gov","middleInitial":"J.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":930560,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cedar Face, Mark A. 0009-0003-5818-8317","orcid":"https://orcid.org/0009-0003-5818-8317","contributorId":352269,"corporation":false,"usgs":true,"family":"Cedar Face","given":"Mark A.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930561,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70264652,"text":"70264652 - 2025 - Hydrologic mechanisms for 2022 Yellowstone River flood and comparisons to recent historic floods","interactions":[],"lastModifiedDate":"2025-03-18T16:09:14.130714","indexId":"70264652","displayToPublicDate":"2025-03-13T11:04:23","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1924,"text":"Hydrological Processes","active":true,"publicationSubtype":{"id":10}},"title":"Hydrologic mechanisms for 2022 Yellowstone River flood and comparisons to recent historic floods","docAbstract":"<p><span>In June 2022, a historic flood event occurred in the headwaters of the Yellowstone River Basin. The flood resulted in millions of dollars in damages and substantial interruptions to Yellowstone National Park. The 2022 flood event was substantially higher in magnitude than other high-peak flow events over the last 30 years. The high discharge was primarily due to the combination of hydrologic mechanisms initiated by rain-on-snow, including a high-elevation snowpack that peaked later than average. However, the contributions of each hydrologic driver, rain and snow, have not been quantified and could be important for understanding future flood events in the region. The contribution of snowmelt to the total terrestrial water input (TWI) varied throughout the area, yet was concentrated in the headwaters of the Yellowstone, Stillwater, and Boulder rivers, along with the headwaters of Rock Creek in Wyoming and Montana. The primary atmospheric contributions to the TWI during the 2022 event were precipitation from moisture transported from the Pacific Ocean that converged over the Greater Yellowstone Area (GYA) and snowmelt from residual snowpack in the northeast part of Yellowstone National Park.</span></p>","language":"English","publisher":"Wiley","doi":"10.1002/hyp.70099","usgsCitation":"Giovando, J., Reis, W., Zhang, W., and Barth, N.A., 2025, Hydrologic mechanisms for 2022 Yellowstone River flood and comparisons to recent historic floods: Hydrological Processes, v. 39, no. 3, e70099, 10 p., https://doi.org/10.1002/hyp.70099.","productDescription":"e70099, 10 p.","ipdsId":"IP-164578","costCenters":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"links":[{"id":483479,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.8645863474894,\n              45.53668572000356\n            ],\n            [\n              -111.8645863474894,\n              43.909029192960446\n            ],\n            [\n              -108.86233230449172,\n              43.909029192960446\n            ],\n            [\n              -108.86233230449172,\n              45.53668572000356\n            ],\n            [\n              -111.8645863474894,\n              45.53668572000356\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"39","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Giovando, Jeremy","contributorId":352388,"corporation":false,"usgs":false,"family":"Giovando","given":"Jeremy","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":931074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reis, Wyatt","contributorId":352389,"corporation":false,"usgs":false,"family":"Reis","given":"Wyatt","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":931075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zhang, Wei","contributorId":352390,"corporation":false,"usgs":false,"family":"Zhang","given":"Wei","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":931076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barth, Nancy A. 0000-0002-7060-8244 nabarth@usgs.gov","orcid":"https://orcid.org/0000-0002-7060-8244","contributorId":298020,"corporation":false,"usgs":true,"family":"Barth","given":"Nancy","email":"nabarth@usgs.gov","middleInitial":"A.","affiliations":[{"id":685,"text":"Wyoming-Montana Water Science Center","active":false,"usgs":true}],"preferred":true,"id":931077,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264294,"text":"sir20255010 - 2025 - Characterization of stream water quality and groundwater levels in the Central Pine Barrens region, Suffolk County, New York, 2017–23","interactions":[],"lastModifiedDate":"2025-07-23T16:46:33.854478","indexId":"sir20255010","displayToPublicDate":"2025-03-11T13:20:00","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":"2025-5010","displayTitle":"Characterization of Stream Water Quality and Groundwater Levels in the Central Pine Barrens Region, Suffolk County, New York, 2017–23","title":"Characterization of stream water quality and groundwater levels in the Central Pine Barrens region, Suffolk County, New York, 2017–23","docAbstract":"The area locally known as the “Central Pine Barrens” region, located in Suffolk County, New York, contains most of Long Island’s preserved and undeveloped land. This region overlays an aquifer system that provides potable groundwater for residents of Suffolk County. Between 2017 and 2023, the U.S. Geological Survey, in cooperation with the Central Pine Barrens Joint Planning & Policy Commission and the Town of Brookhaven, monitored groundwater levels and stream water quality in this region. Groundwater levels were measured monthly at five wells and continuously (15-minute intervals) at a sixth well. Water quality was monitored at five locations in the Carmans River and at two locations in the Peconic River, and samples were analyzed for major ions, trace elements, nutrients, pharmaceuticals, and pesticides. The major ion compositions at the sites were mainly sodium-chloride type waters, and compositions varied the most at the furthest upstream sites in both streams. Concentrations above aquatic-life criteria thresholds also occurred most frequently at the furthest upstream sites. The seasonal patterns of nutrient loads and concentrations varied between the Carmans and Peconic Rivers. Several organic compounds including pharmaceuticals, domestic use products, and pesticides were detected at low concentrations in both streams. Metformin was the most frequently detected pharmaceutical compound, and herbicides were the most frequently detected pesticide class. Water-quality conditions influenced by anthropogenic contributions are a result of current and historical land use, and these contributions include onsite wastewater disposal systems, commercial or domestic fertilizers and pesticides, and urban or industrial contaminants in road runoff. This study characterizes and improves understanding of the current hydrologic conditions in the Central Pine Barrens region and the study findings can help inform the development of plans to manage, protect, and restore water resources.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255010","collaboration":"Prepared in cooperation with the Central Pine Barrens Joint Planning & Policy Commission and the Town of Brookhaven","usgsCitation":"Dondero, A.M., Fisher, I.J., Simonson, A.E., and Bayraktar, B.N., 2025, Characterization of stream water quality and groundwater levels in the Central Pine Barrens region, Suffolk County, New York, 2017–23: U.S. Geological Survey Scientific Investigations Report 2025–5010, 47 p., https://doi.org/10.3133/sir20255010.","productDescription":"Report: v, 47 p.; 5 Data 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release","linkHelpText":"2019 Hydrologic data summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024)"},{"id":483170,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JU6S00","text":"USGS data release","linkHelpText":"2018 Hydrologic data summary for the Central Pine Barrens Region, Suffolk County, New York (ver. 2.0, February 2024)"},{"id":483164,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255010/full","description":"SIR 2025-5010 HTML"},{"id":483171,"rank":9,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9MMZ34Z","text":"USGS data release","linkHelpText":"2021 Hydrologic data summary for the Central Pine Barrens Region, Suffolk County, New York"},{"id":483163,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5010/sir20255010.pdf","text":"Report","size":"5.02 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NY 12180–8349</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods</li><li>Characterization of Groundwater Levels</li><li>Characterization of Water Quality in the Carmans and Peconic Rivers</li><li>Summary</li><li>Acknowledgments</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2025-03-11","noUsgsAuthors":false,"publicationDate":"2025-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"May, Amanda Nicole 0000-0002-4798-3767","orcid":"https://orcid.org/0000-0002-4798-3767","contributorId":295490,"corporation":false,"usgs":true,"family":"May","given":"Amanda","email":"","middleInitial":"Nicole","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930307,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Irene 0000-0002-3792-7235 ifisher@usgs.gov","orcid":"https://orcid.org/0000-0002-3792-7235","contributorId":223594,"corporation":false,"usgs":true,"family":"Fisher","given":"Irene","email":"ifisher@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930308,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Simonson, Amy E. 0000-0001-8468-5382","orcid":"https://orcid.org/0000-0001-8468-5382","contributorId":217671,"corporation":false,"usgs":true,"family":"Simonson","given":"Amy","email":"","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930309,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bayraktar, Banu 0000-0003-3612-6767","orcid":"https://orcid.org/0000-0003-3612-6767","contributorId":217670,"corporation":false,"usgs":true,"family":"Bayraktar","given":"Banu","email":"","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930310,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264079,"text":"sir20245096 - 2025 - Determining low-flow conditions at select streams to Barnegat Bay-Little Egg Harbor as the first step towards the development of ecological-flow targets","interactions":[],"lastModifiedDate":"2025-07-23T16:43:49.357537","indexId":"sir20245096","displayToPublicDate":"2025-03-11T09:00:00","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":"2024-5096","displayTitle":"Determining Low-Flow Conditions at Select Streams to Barnegat Bay-Little Egg Harbor as the First Step Towards the Development of Ecological-Flow Targets","title":"Determining low-flow conditions at select streams to Barnegat Bay-Little Egg Harbor as the first step towards the development of ecological-flow targets","docAbstract":"<p>Maintaining streamflow to support human water needs and ecosystem services requires a fundamental understanding of the relations between changes in streamflow processes and ecosystem responses. Changes in the natural patterns in flow, geology, and topography alter the habitats that aquatic organisms rely on for food, shelter, and reproduction. The U.S. Geological Survey (USGS) implemented an ecological-flow framework that encapsulates the basic principles of the Ecological Limits of Hydrologic Alteration (ELOHA) to compare the relations between hydrologic metrics and stream conditions and estimate ecological flow needs in the Barnegat Bay-Little Egg Harbor watershed. As a first step in the ELOHA process, streamflow from two historical time periods (occurring between 1933 and 1988) was compared to streamflow for a recent time period (from 2004-2020) for four major streams in the Barnegat Bay-Little Egg Harbor watershed (North Branch Metedeconk River, Toms River, Cedar Creek, and Westecunk Creek), to evaluate if there were statistically significant differences in streamflow metrics. Analysis of monthly, seasonal, and annual low-flow metrics; patterns in the streamflow record; and general land-use changes were used to develop a better understanding of flow conditions in the watershed.</p><p>The comparative streamflow analysis indicated that notable changes in flow processes for the study streams occurred between the three periods of record (PORs) evaluated in this study: period of record 1 (POR1, from water years 1933–1958), period of record 2 (POR2, from water years 1974–1988), and period of record 3 (POR3, from water years 2004–2020). For example, the mean of the daily streamflow decreased between the historical POR to the current POR in Cedar Creek but increased in North Branch Metedeconk and Toms Rivers. Larger and more significant changes (p-value &lt;0.10) occurred during specific months or were related to the variability or seasonality of flow. North Branch Metedeconk River and Toms River, the two northern and most developed sites, exhibited changes in low-flow metrics and decreases in minimum n-day moving averages. Decreases in the normalized 75th-percentile exceedance flows were evident at three of the four study sub-basins during POR2 and POR3. In comparison, there was little to no evidence of negative changes to low-flow metrics at Westecunk Creek, the southernmost and least developed site, where all low-flow duration metrics increased as well as seasonal minimum consecutive 7-day average flows. Significant increases in monthly minimums (p-value &lt;0.05) at Cedar Creek for spring months (April, May, and June) also were observed.</p><p>Natural and anthropogenic processes can alter the landscape resulting in concomitant changes in the streamflow regime. There is a need to assess these changes and synthesize the results into a scientifically defensible set of goals and standards that help support the management of environmental flows. This study represents the initial steps in building the hydrologic foundation to inform management and develop future ecological flow targets that balance water availability for human and ecosystem needs in the Barnegat Bay-Little Egg Harbor watershed.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245096","collaboration":"Prepared in cooperation with the Barnegat Bay Partnership","usgsCitation":"Wieben, C.M., Kennen, J.G., and Suro, T.P., 2025, Determining low-flow conditions at select streams to Barnegat Bay-Little Egg Harbor as the first step towards the development of ecological-flow targets: U.S. Geological Survey Scientific Investigations Report 2024–5096, 39 p., https://doi.org/10.3133/sir20245096.","productDescription":"vii, 39 p.","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-149405","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":492774,"rank":6,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118479.htm","linkFileType":{"id":5,"text":"html"}},{"id":482893,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5096/coverthb.jpg"},{"id":482897,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5096/images/"},{"id":482896,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5096/sir20245096.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5096 XML"},{"id":482895,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245096/full","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5096 HTML"},{"id":482894,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5096/sir20245096.pdf","text":"Report","size":"7.40 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5096 PDF"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay-Little Egg Harbor watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -74.5,\n              40.1667\n            ],\n            [\n              -74.5,\n              39.5\n            ],\n            [\n              -73.8333,\n              39.5\n            ],\n            [\n              -73.8333,\n              40.1667\n            ],\n            [\n              -74.5,\n              40.1667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_nj@usgs.gov\" data-mce-href=\"mailto:dc_nj@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/new-jersey-water-science-center\" data-mce-href=\"https://www.usgs.gov/centers/new-jersey-water-science-center\">New Jersey Water Science Center</a><br>U.S. Geological Survey<br>3450 Princeton Pike, Suite 110<br>Lawrenceville, NJ 08648</p>","tableOfContents":"<ul><li>Introduction</li><li>Purpose and Scope</li><li>Methods</li><li>Summary and Research Directions</li><li>References Cited</li><li>Appendix</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2025-03-11","noUsgsAuthors":false,"publicationDate":"2025-03-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Wieben, Christine M. 0000-0001-5825-5119","orcid":"https://orcid.org/0000-0001-5825-5119","contributorId":208797,"corporation":false,"usgs":true,"family":"Wieben","given":"Christine M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suro, Thomas P. 0000-0002-9476-6829 tsuro@usgs.gov","orcid":"https://orcid.org/0000-0002-9476-6829","contributorId":2841,"corporation":false,"usgs":true,"family":"Suro","given":"Thomas","email":"tsuro@usgs.gov","middleInitial":"P.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":929694,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70264230,"text":"sir20245121 - 2025 - Updating and recalibrating the integrated Santa Rosa Plain Hydrologic Model to assess stream depletion and to simulate future climate and management scenarios in Santa Rosa, Sonoma County, California","interactions":[],"lastModifiedDate":"2025-07-23T16:41:23.789208","indexId":"sir20245121","displayToPublicDate":"2025-03-10T12:15:19","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":"2024-5121","displayTitle":"Updating and Recalibrating the Integrated Santa Rosa Plain Hydrologic Model to Assess Stream Depletion and to Simulate Future Climate and Management Scenarios in Santa Rosa, Sonoma County, California","title":"Updating and recalibrating the integrated Santa Rosa Plain Hydrologic Model to assess stream depletion and to simulate future climate and management scenarios in Santa Rosa, Sonoma County, California","docAbstract":"The Santa Rosa Plain Hydrologic Model (SRPHM) was developed and published in 2014 through a collaboration between the U.S. Geological Survey (USGS) and Sonoma Water to analyze the hydrologic system in the Santa Rosa Plain watershed, help meet the increasing demand for fresh water, and prepare for future uncertainties in water resources. The original model simulated hydrological conditions and water use from water years 1975 to 2010. Recently (2023), the USGS, in cooperation with Sonoma Water and the California State Water Resources Control Board, updated the SRPHM model to extend its simulation period to the end of the 2018 calendar year, incorporate new estimates of rural and agricultural water use, and use efficient input format for climate variables. The updated model was recalibrated, and evaluation of the new model calibration is included in this report. This report presents the results of comparing the hydraulic heads, streamflow, and groundwater budget simulated by the updated model with those generated by the original model and observed data. The main difference in the simulated budget between the original and updated SRPHM is the estimates of agricultural pumping, rural domestic pumping, and return flow generated from rural water use that was not simulated in the original model. The revised agricultural pumping is simulated using the agricultural package, which constrains pumping to available groundwater. The use of the agricultural package leads to a more realistic estimation of agricultural water use, with revised agricultural pumping being one-third less than that in the original model. The revised rural pumping is about half of the pumping in the original model because of using detailed parcel data to estimate population density in rural areas instead of coarse census tracts. Overall, average total inflows for water years 2006–10 simulated by the updated model were about 2 percent less than the original model, and the average total updated outflows were nearly 5 percent less than the original model. The updated model was then used to generate stream depletion maps, simulate climate change scenarios during 2019–99, and simulate water rights allocation using the Model for Decision Support in Integrated River Basin Management (MODSIM). The results from simulating eight future climate scenarios indicated either an increase in groundwater storage or no significant change in the next 80 years, along with an increase in recharge, an increase in actual evapotranspiration in six out of eight climate projections, and an increase in surface runoff. The increases in the simulated future groundwater storage, recharge, evapotranspiration, and runoff in most climate projections are mainly driven by the projected increase in precipitation in most of the future climate scenarios. The updated model also was used to test a pilot case study demonstrating water-resource allocation among different users with different water rights using the integrated MODSIM-Groundwater and Surface-Water Flow Model (GSFLOW) platform. The updated SRPHM serves as a valuable tool for analyzing historical and future hydrologic conditions in the Santa Rosa Plain watershed and preparing for future uncertainties.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245121","collaboration":"Prepared in cooperation with the California State Water Resources Control Board and Sonoma Water","programNote":"Water Availability and Use Science Program—Water Resources Mission Area","usgsCitation":"Alzraiee, A., Rich, A., Woolfenden, L., Ryter, D., Triana, E., and Niswonger, R., 2025, Updating and recalibrating the integrated Santa Rosa Plain Hydrologic Model to assess stream depletion and to simulate future climate and management scenarios in Santa Rosa, Sonoma County, California: U.S. Geological Survey Scientific Investigations Report 2024–5121, 57 p., https://doi.org/10.3133/sir20245121.","productDescription":"Report: x, 57 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-155752","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":483079,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1MCCAOM","text":"USGS Data Release","description":"Ryter, D.W., and Alzraiee, A.H., 2025, Santa Rosa Plain integrated hydrological model: simulating the hydrological system of the Santa Rosa Plain, California with analysis of future climate scenarios: U.S. Geological Survey data release, https://doi.org/10.5066/P1MCCAOM.","linkHelpText":"Santa Rosa Plain integrated hydrological model—Simulating the hydrological system of the Santa Rosa Plain, California, with analysis of future climate scenarios"},{"id":483078,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245121/full"},{"id":483077,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5121/images"},{"id":492772,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118477.htm","linkFileType":{"id":5,"text":"html"}},{"id":483076,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5121/sir20245121.XML"},{"id":483075,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5121/sir20245121.pdf","text":"Report","size":"37 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":483074,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5121/coverthb.jpg"}],"country":"United States","state":"California","county":"Sonoma County","city":"Santa Rosa","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              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95819</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Description of the Santa Rosa Plain Hydrologic Model (SRPHM) 1.0</li><li>Model Updates</li><li>Calibration of the Santa Rosa Plain Hydrologic Model</li><li>Mapping Simulated Stream Depletion</li><li>Simulation of Climate Change Scenarios</li><li>Simulating Water Rights Using Coupled Models</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"publishedDate":"2025-03-10","noUsgsAuthors":false,"publicationDate":"2025-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Alzraiee, Ayman H. 0000-0001-7576-3449","orcid":"https://orcid.org/0000-0001-7576-3449","contributorId":272120,"corporation":false,"usgs":true,"family":"Alzraiee","given":"Ayman","email":"","middleInitial":"H.","affiliations":[{"id":154,"text":"California Water Science 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,{"id":70264193,"text":"sir20255004 - 2025 - Assessment of effects of channelization mitigation alternatives of Stoney Brook, Carlton and St. Louis Counties, Minnesota","interactions":[],"lastModifiedDate":"2025-07-23T16:37:17.642571","indexId":"sir20255004","displayToPublicDate":"2025-03-10T08:26:00","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":"2025-5004","displayTitle":"Assessment of Effects of Channelization Mitigation Alternatives of Stoney Brook, Carlton and St. Louis Counties, Minnesota","title":"Assessment of effects of channelization mitigation alternatives of Stoney Brook, Carlton and St. Louis Counties, Minnesota","docAbstract":"<p>The U.S. Geological Survey, in cooperation with the Fond du Lac Band of Lake Superior Chippewa (FDLB), studied the effects of channel modification alternatives on lake levels and floodplain inundation in the Stoney Brook watershed in northeast Minnesota. Northern wild rice (<i>Zizania palustris</i>), also referred to as manoomin by the Ojibwe/Chippewa people, is a natural and cultural resource to the FDLB and is sensitive to water levels and rates of water-level changes, particularly during the early stages of growth. Drainage ditches constructed in the early 1900s in the Stoney Brook watershed lowered lake-water levels, caused greater fluctuations in the lakes, and created a loss in wetland coverage. The FDLB is committed to minimizing large fluctuations of the lakes with natural wild rice production in the Stoney Brook watershed and restoring a more natural hydrology to Stoney Brook. The hydrologic response of these lakes and floodplain storage to simulated channel modification alternatives were examined.</p><p>Hydrologic and hydraulic models were developed for the watershed and calibrated to historical rainfall events. The models used probabilistic frequency rainfall events of 24-hour duration for 1-, 2-, 5-, and 10-year annual recurrence intervals (100-, 50-, 20-, and 10-percent annual exceedance probability) to simulate watershed management scenarios with existing and alternative conditions. The hydraulic model outputs for peak flows, volume accumulation, water levels, and inundation duration and depths were assessed to quantify the effects of the channel modification alternatives. The channel modification alternatives were simulated with four different terrain conditions: existing conditions, bank spoil breach, original channel reconnection, and original channel reconnection with bank spoil breach. Hydrologic characteristics from six distinct areas were used in the model to evaluate the effects from the channel modification alternatives.</p><p>The simulated results of two lakes in which wild rice was planted demonstrated that the lakes would take longer to draw down following an event with the channel modification alternatives compared to existing conditions with little change to peak water-surface elevations. The alternatives provided minor to no increases in flows or conveyances at the downstream reference location at Pine Drive bridge. The restored floodplain locations had increased flows and conveyances for the channel modification alternatives that could be considered substantial when compared to flows with existing conditions. The inundation extent, duration, and water-depth distribution were assessed within selected floodplain areas. Generally, the channel modification alternatives produced increases in the higher depth (3–4 and greater than 4 feet) and duration (10–14 and greater than 14 days) categories for these areas, which may be beneficial to increases in wetland coverage and floodplain storage.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20255004","collaboration":"Prepared in cooperation with the Fond du Lac Band of Lake Superior Chippewa","usgsCitation":"Cigrand, C.V., 2025, Assessment of effects of channelization mitigation alternatives of Stoney Brook, Carlton and St. Louis Counties, Minnesota: U.S. Geological Survey Scientific Investigations Report 2025–5004, 44 p., https://doi.org/10.3133/sir20255004.","productDescription":"Report: ix, 44 p.; Data Release; Dataset","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-132433","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":483061,"rank":5,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS National Water Information System database","linkHelpText":"- USGS water data for the Nation"},{"id":483062,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13KFQSL","text":"USGS data release","linkHelpText":"Archive of hydraulic and hydrologic models used in the Stoney Brook watershed in Carlton and St. Louis Counties, Minnesota, 2008–2024"},{"id":483057,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2025/5004/coverthb.jpg"},{"id":483058,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2025/5004/sir20255004.pdf","text":"Report","size":"9.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2025–5004"},{"id":483059,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2025/5004/sir20255004.XML"},{"id":483060,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2025/5004/images/"},{"id":483063,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20255004/full"},{"id":492770,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_118476.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Minnesota","county":"Carlton County, St. Louis County","otherGeospatial":"Stoney Brook watershed","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -92.4667,\n              46.8667\n            ],\n            [\n              -92.8,\n              46.8667\n            ],\n            [\n              -92.8,\n              46.633\n            ],\n            [\n              -92.4667,\n              46.633\n            ],\n            [\n              -92.4667,\n              46.8667\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>400 South Clinton Street, Suite 269<br>Iowa City, IA 52240</p><p><a href=\"https://pubs.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Hydrologic Model</li><li>Hydraulic Model</li><li>Channel Modification Used for Alternatives</li><li>Summary</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2025-03-10","noUsgsAuthors":false,"publicationDate":"2025-03-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Cigrand, Charles V. 0000-0002-4177-7583","orcid":"https://orcid.org/0000-0002-4177-7583","contributorId":201575,"corporation":false,"usgs":true,"family":"Cigrand","given":"Charles","email":"","middleInitial":"V.","affiliations":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":930111,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70264826,"text":"70264826 - 2025 - Distribution and disturbances of ditches across salt marshes of the Northeast U.S. with implications for management and restoration","interactions":[],"lastModifiedDate":"2025-03-26T15:51:07.67541","indexId":"70264826","displayToPublicDate":"2025-03-07T08:42:17","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2258,"text":"Journal of Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Distribution and disturbances of ditches across salt marshes of the Northeast U.S. with implications for management and restoration","docAbstract":"<p><span>Effective management of valuable coastal systems, such as salt marshes requires an understanding of the complex stressors influencing their continued threat of drowning. However, efforts to determine the effects of one potential stressor, ditches, have produced diverging results complicating management efforts. Ditches (linear trenches dug to drain salt marshes for agriculture and mosquito control) alter salt marsh hydrology, but their effects on widescale marsh function and degradation are poorly understood. We created a dataset of visible ditches and summarized ditch densities (length of ditches over area) for salt marshes of the Northeast U.S. to evaluate ditching against vulnerability metrics, including elevation and the unvegetated to vegetated marsh ratio (UVVR). We identified a scale dependency in which the larger/coarser the spatial scale of analysis, the greater the fraction of ditched salt marshes. Scale dependence explains discrepancies between previously determined ditch indices. In terms of effects on marsh vulnerability, relative elevation was not influenced by visible ditch presence. Ditch densities affected UVVR, exhibiting a multiple threshold behavior. When present at low densities, ditches have little effect on ponding; yet as ditch densities increase, UVVR (i.e., ponding) increases. The relationship between ditching and UVVR reverses at the highest ditch densities, with ponding substantially decreasing. The multiple threshold vulnerability response of Northeast salt marshes to the hydrologic influences imposed by ditching suggests restoration strategies should consider the degree of ditching rather than simply ditching presence.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jenvman.2025.124444","usgsCitation":"Peck, E., Walker, J., Ackerman, K., Carr, J., Correll, M.D., Defne, Z., Deegan, L.A., Eaton, M.J., Ganju, N., Hartley, M., Johnson, C., Mercer, J.J., Ruskin, K., Woodruff, J.D., and Yellen, B., 2025, Distribution and disturbances of ditches across salt marshes of the Northeast U.S. with implications for management and restoration: Journal of Environmental Management, v. 376, 124444, 12 p., https://doi.org/10.1016/j.jenvman.2025.124444.","productDescription":"124444, 12 p.","ipdsId":"IP-170787","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science 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Woods Hole, MA 02543.","active":true,"usgs":false}],"preferred":false,"id":931995,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":213526,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":931996,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":931997,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hartley, Mitch","contributorId":272059,"corporation":false,"usgs":false,"family":"Hartley","given":"Mitch","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":931998,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Johnson, Catherine","contributorId":306165,"corporation":false,"usgs":false,"family":"Johnson","given":"Catherine","affiliations":[{"id":66380,"text":"National Park Service, University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":931999,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Mercer, Jason J","contributorId":219802,"corporation":false,"usgs":false,"family":"Mercer","given":"Jason","email":"","middleInitial":"J","affiliations":[{"id":34987,"text":"University of Wyoming, Laramie, WY","active":true,"usgs":false}],"preferred":false,"id":932000,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Ruskin, Katharine J.","contributorId":352685,"corporation":false,"usgs":false,"family":"Ruskin","given":"Katharine J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":932001,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Woodruff, Jonathan D.","contributorId":192777,"corporation":false,"usgs":false,"family":"Woodruff","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":932002,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Yellen, Brian","contributorId":198491,"corporation":false,"usgs":false,"family":"Yellen","given":"Brian","email":"","affiliations":[{"id":33278,"text":"Department of Geosciences, University of Massachusetts, Amherst, MA","active":true,"usgs":false}],"preferred":false,"id":932003,"contributorType":{"id":1,"text":"Authors"},"rank":15}]}}
,{"id":70264047,"text":"70264047 - 2025 - Invasion of perennial sagebrush steppe by shallow-rooted exotic cheatgrass reduces stable forms of soil carbon in a warmer but not cooler ecoregion","interactions":[],"lastModifiedDate":"2025-03-05T17:03:14.019394","indexId":"70264047","displayToPublicDate":"2025-03-03T10:59:48","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10763,"text":"Environmental Research Communications","active":true,"publicationSubtype":{"id":10}},"title":"Invasion of perennial sagebrush steppe by shallow-rooted exotic cheatgrass reduces stable forms of soil carbon in a warmer but not cooler ecoregion","docAbstract":"<p><span>Soil organic carbon ('SOC') in drylands comprises nearly a third of the global SOC pool and has relatively rapid turnover and thus is a key driver of variability in the global carbon cycle. SOC is also a sensitive indicator of longer-term directional change and disturbance-responses of ecosystem C storage. Biome-scale disruption of the dryland carbon cycle by exotic annual grass invasions (mainly&nbsp;</span><i>Bromus tectorum,</i><span>&nbsp;'Cheatgrass') threatens carbon storage and corresponding benefits to soil hydrology and nutrient retention. Past studies on cheatgrass impacts mainly focused on total C, and of the few that evaluated SOC, none compared the very different fractions of SOC, such as relatively unstable particulate organic carbon (POC) or relatively stable, mineral-associated organic carbon (MAOC). We measured SOC and its POC and MAOC constituents in the surface soils of sites that had sagebrush canopies but differed in whether their understories had been invaded by cheatgrass or not, in both warm and relatively colder ecoregions of the western USA. MAOC stocks were 36.1% less in the 0–10 cm depth and 46.1% less in the 10–20 cm depth in the cheatgrass-invaded stands compared to the uninvaded stands of the warmer Colorado Plateau, but not in the cooler and more carbon-rich Wyoming Basin ecoregion. In plots where cheatgrass increased SOC, it was via unstable POC. These findings indicate that cheatgrass effects on the distribution of soil carbon among POC and MAOC fractions may vary among ecoregions, and that cheatgrass can reduce forms of carbon that are otherwise considered stable and 'secure', i.e. sequestered.</span></p>","language":"English","publisher":"IOP Science","doi":"10.1088/2515-7620/adb93f","usgsCitation":"Katz, S., Maxwell, T.M., de Graaff, M., and Germino, M., 2025, Invasion of perennial sagebrush steppe by shallow-rooted exotic cheatgrass reduces stable forms of soil carbon in a warmer but not cooler ecoregion: Environmental Research Communications, v. 7, no. 3, 031001, 9 p., https://doi.org/10.1088/2515-7620/adb93f.","productDescription":"031001, 9 p.","ipdsId":"IP-171618","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":487431,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/2515-7620/adb93f","text":"Publisher Index Page"},{"id":482914,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Katz, Sydney Maya 0000-0003-1682-1885","orcid":"https://orcid.org/0000-0003-1682-1885","contributorId":351089,"corporation":false,"usgs":true,"family":"Katz","given":"Sydney Maya","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":929593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Maxwell, Toby Matthew 0000-0001-5171-0705","orcid":"https://orcid.org/0000-0001-5171-0705","contributorId":334690,"corporation":false,"usgs":true,"family":"Maxwell","given":"Toby","email":"","middleInitial":"Matthew","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":929594,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"de Graaff, Marie-Anne","contributorId":195121,"corporation":false,"usgs":false,"family":"de Graaff","given":"Marie-Anne","email":"","affiliations":[],"preferred":false,"id":929595,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":929596,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70261961,"text":"70261961 - 2025 - Prioritization of research on drought assessment in a changing climate","interactions":[],"lastModifiedDate":"2025-03-12T14:51:19.950323","indexId":"70261961","displayToPublicDate":"2025-03-02T09:37:39","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5053,"text":"Earth's Future","active":true,"publicationSubtype":{"id":10}},"title":"Prioritization of research on drought assessment in a changing climate","docAbstract":"<p><span>Drought is a period of abnormally dry weather that leads to hydrological imbalance. Drought assessments determine the characteristics, severity, and impacts of a drought. Climate change adds conceptual and quantitative challenges to traditional drought assessments. This paper highlights the challenges of assessing drought in a climate made non-stationary by human activities or natural variability. To address these challenges, we then identify 10 key research priorities for advancing drought science and improving assessments in a changing climate. The priorities focus on improving drought indicators to account for non-stationarity, evaluating drought impacts and their trends, addressing regional differences in non-stationarity, determining the physical drivers of drought and how they are changing, capturing precipitation variability, and understanding the drivers of aridification. Ultimately, improved drought assessments will inform better risk management, adaptation strategies, and planning, especially in areas where climate change significantly alters drought dynamics. This perspective offers a path toward more accurate and effective drought management in a non-stationary climate system.</span></p>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024EF005276","usgsCitation":"Lisonbee, J., Parker, B., Fleishman, E., Ford, T., Bocinsky, R., Follingstad, G., Frazier, A., Hoylman, Z., Hudson, A., Nielsen-Gammon, J., Umphlett, N., Elliot Wickham, Bamzai-Dodson, A., Fontenot, R., Fuchs, B., Hammond, J., Herrick, J., Hobbins, M., Hoell, A., Jones, J., Lane, E., Leasor, Z., Liu, Y., Otkin, J., Sheffield, A., Todey, D., and Pulwarty, R., 2025, Prioritization of research on drought assessment in a changing climate: Earth's Future, v. 13, no. 3, e2024EF005276, 21 p., https://doi.org/10.1029/2024EF005276.","productDescription":"e2024EF005276, 21 p.","ipdsId":"IP-165309","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia  Water Science Center","active":true,"usgs":true}],"links":[{"id":487949,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024ef005276","text":"Publisher Index Page"},{"id":483235,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"3","noUsgsAuthors":false,"publicationDate":"2025-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Lisonbee, Joel","contributorId":347776,"corporation":false,"usgs":false,"family":"Lisonbee","given":"Joel","affiliations":[{"id":83232,"text":"Cooperative Institute for Research in the  Environmental Sciences (CIRES), University of Colorado Boulder, and NOAA/National Integrated Drought Information System, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":922436,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Parker, Britt","contributorId":347777,"corporation":false,"usgs":false,"family":"Parker","given":"Britt","affiliations":[{"id":83233,"text":"NOAA National Integrated Drought Information System, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":922437,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fleishman, Erica","contributorId":347778,"corporation":false,"usgs":false,"family":"Fleishman","given":"Erica","affiliations":[{"id":12961,"text":"College of Earth, Ocean, and Atmospheric Sciences, Oregon State University","active":true,"usgs":false}],"preferred":false,"id":922438,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ford, Trent","contributorId":347779,"corporation":false,"usgs":false,"family":"Ford","given":"Trent","affiliations":[{"id":83235,"text":"Illinois State Water Survey, Prairie Research Institute, University of Illinois, Urbana-Champaign, Champaign, Illinois","active":true,"usgs":false}],"preferred":false,"id":922439,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bocinsky, R. Kyle","contributorId":347780,"corporation":false,"usgs":false,"family":"Bocinsky","given":"R. Kyle","affiliations":[{"id":83236,"text":"Montana Climate Office, W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, Montana 59812","active":true,"usgs":false}],"preferred":false,"id":922440,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Follingstad, Gretel","contributorId":347781,"corporation":false,"usgs":false,"family":"Follingstad","given":"Gretel","affiliations":[{"id":83232,"text":"Cooperative Institute for Research in the  Environmental Sciences (CIRES), University of Colorado Boulder, and NOAA/National Integrated Drought Information System, Boulder, Colorado, USA","active":true,"usgs":false}],"preferred":false,"id":922441,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Frazier, Abby G.","contributorId":347782,"corporation":false,"usgs":false,"family":"Frazier","given":"Abby G.","affiliations":[{"id":83237,"text":"Clark University, Graduate School of Geography, Worcester, MA USA","active":true,"usgs":false}],"preferred":false,"id":922442,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hoylman, Zachary H.","contributorId":347783,"corporation":false,"usgs":false,"family":"Hoylman","given":"Zachary H.","affiliations":[{"id":83236,"text":"Montana Climate Office, W.A. Franke College of Forestry and Conservation, University of Montana, Missoula, Montana 59812","active":true,"usgs":false}],"preferred":false,"id":922443,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hudson, Amy R.","contributorId":347784,"corporation":false,"usgs":false,"family":"Hudson","given":"Amy R.","affiliations":[{"id":83238,"text":"USDA-ARS, Center for Grain and Animal Health Research, Manhattan, KS","active":true,"usgs":false}],"preferred":false,"id":922444,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nielsen-Gammon, John W.","contributorId":347785,"corporation":false,"usgs":false,"family":"Nielsen-Gammon","given":"John W.","affiliations":[{"id":83239,"text":"Dept. of Atmospheric Sciences, Texas A&M University, College Station, Texas","active":true,"usgs":false}],"preferred":false,"id":922445,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Umphlett, Natalie A.","contributorId":347786,"corporation":false,"usgs":false,"family":"Umphlett","given":"Natalie A.","affiliations":[{"id":83240,"text":"Northeast Regional Climate Center, Cornell University","active":true,"usgs":false}],"preferred":false,"id":922446,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Elliot Wickham","contributorId":347787,"corporation":false,"usgs":false,"family":"Elliot Wickham","affiliations":[{"id":83241,"text":"South Carolina Department of Natural Resources - S.C. 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Service","active":true,"usgs":false}],"preferred":false,"id":922458,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Otkin, Jason A.","contributorId":347797,"corporation":false,"usgs":false,"family":"Otkin","given":"Jason A.","affiliations":[{"id":83250,"text":"Space Science and Engineering Center, Cooperative Institute for Meteorological Satellite Studies, University of Wisconsin-Madison, USA","active":true,"usgs":false}],"preferred":false,"id":922459,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Sheffield, Amanda","contributorId":347798,"corporation":false,"usgs":false,"family":"Sheffield","given":"Amanda","affiliations":[{"id":83232,"text":"Cooperative Institute for Research in the  Environmental Sciences (CIRES), University of Colorado Boulder, and NOAA/National Integrated Drought Information System, Boulder, Colorado, 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,{"id":70267497,"text":"70267497 - 2025 - The effects of unpaved roads on instream sediment: Patterns and challenges for monitoring","interactions":[],"lastModifiedDate":"2025-05-28T14:35:05.649999","indexId":"70267497","displayToPublicDate":"2025-03-02T09:28:53","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"The effects of unpaved roads on instream sediment: Patterns and challenges for monitoring","docAbstract":"<p><span>Despite &gt; 700,000 km of unpaved roads in the western United States, our knowledge of how roads impact instream sediment is unclear. We combined two studies, including (1) a regional analysis linking stream habitat data from a large-scale monitoring program with road density data to identify generalizable relationships between roads and streambed sediment distributions and (2) a targeted field study to evaluate the responses of streambed and suspended sediment collected at locations above and below road–stream connection points to better understand the consistency of responses. Regional analyses indicated a significant positive relationship between road density and fine sediment in pool tails and a significant negative relationship between road density and median particle size. We also found significant relationships between landscape, climate, and local covariates and streambed sediment metrics, where most of the parameter estimates of the covariates were equal to or stronger than those for road density. Field studies suggested higher suspended sediment levels across the seasonal hydrologic regime where roads were open to travel year-round. However, sediment responses to road–stream connection points varied by metric and site. Together, our results indicated negative relationships between increasing road densities and sediment size distributions, but detecting road effects at site scales will be challenging given the effects of covariates that can overwhelm sediment signals.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.70006","usgsCitation":"Al-Chokhachy, R., Poole, G.C., Thomas, C., Saunders, C., Roper, B.B., Hendrickson, S., Davis, C., Crapster, K., and Archer, E., 2025, The effects of unpaved roads on instream sediment: Patterns and challenges for monitoring: Journal of the American Water Resources Association, v. 61, no. 2, e70006, 15 p., https://doi.org/10.1111/1752-1688.70006.","productDescription":"e70006, 15 p.","ipdsId":"IP-160173","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":490157,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.70006","text":"Publisher Index Page"},{"id":486641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -113.97377754888683,\n              48.270005185200375\n            ],\n            [\n              -113.97377754888683,\n              46.72675801221189\n            ],\n            [\n              -112.14423334891903,\n              46.72675801221189\n            ],\n            [\n              -112.14423334891903,\n              48.270005185200375\n            ],\n            [\n              -113.97377754888683,\n              48.270005185200375\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"61","issue":"2","noUsgsAuthors":false,"publicationDate":"2025-03-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Al-Chokhachy, Robert 0000-0002-2136-5098","orcid":"https://orcid.org/0000-0002-2136-5098","contributorId":211560,"corporation":false,"usgs":true,"family":"Al-Chokhachy","given":"Robert","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":938425,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Poole, Geoffrey C.","contributorId":179213,"corporation":false,"usgs":false,"family":"Poole","given":"Geoffrey","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":938427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thomas, Cameron","contributorId":173470,"corporation":false,"usgs":false,"family":"Thomas","given":"Cameron","email":"","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":938431,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Saunders, Carl","contributorId":348139,"corporation":false,"usgs":false,"family":"Saunders","given":"Carl","affiliations":[{"id":36400,"text":"US Forest Service","active":true,"usgs":false}],"preferred":false,"id":938428,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Roper, Brett B.","contributorId":120701,"corporation":false,"usgs":false,"family":"Roper","given":"Brett","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":938429,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hendrickson, Shane","contributorId":173474,"corporation":false,"usgs":false,"family":"Hendrickson","given":"Shane","email":"","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":938430,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Davis, Cory","contributorId":244332,"corporation":false,"usgs":false,"family":"Davis","given":"Cory","email":"","affiliations":[{"id":48893,"text":"Meteorological Service of New Zealand","active":true,"usgs":false}],"preferred":false,"id":938432,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Crapster, Kyle","contributorId":255674,"corporation":false,"usgs":false,"family":"Crapster","given":"Kyle","email":"","affiliations":[],"preferred":false,"id":938426,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Archer, Eric","contributorId":167603,"corporation":false,"usgs":false,"family":"Archer","given":"Eric","affiliations":[{"id":6679,"text":"US Forest Service, Rocky Mountain Research Station","active":true,"usgs":false}],"preferred":false,"id":938433,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70265239,"text":"70265239 - 2025 - Watershed hydrology assessment for the Nueces River basin–Appendix D, RiverWare analyses","interactions":[],"lastModifiedDate":"2025-04-07T15:12:31.587121","indexId":"70265239","displayToPublicDate":"2025-03-01T09:58:03","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Watershed hydrology assessment for the Nueces River basin–Appendix D, RiverWare analyses","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Interagency Flood Risk Management (InFRM)","usgsCitation":"Wallace, D., 2025, Watershed hydrology assessment for the Nueces River basin–Appendix D, RiverWare analyses, 71 p.","productDescription":"71 p.","ipdsId":"IP-151264","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":484249,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":484169,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://webapps.usgs.gov/infrm/"}],"country":"United States","state":"Texas","otherGeospatial":"Nueces River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.48516111849933,\n              28.602627339567448\n            ],\n            [\n              -98.48516111849933,\n              27.684996006363292\n            ],\n            [\n              -97.23485178601354,\n              27.684996006363292\n            ],\n            [\n              -97.23485178601354,\n              28.602627339567448\n            ],\n            [\n              -98.48516111849933,\n              28.602627339567448\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wallace, David 0000-0002-9134-8197","orcid":"https://orcid.org/0000-0002-9134-8197","contributorId":220786,"corporation":false,"usgs":true,"family":"Wallace","given":"David","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932583,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70265237,"text":"70265237 - 2025 - Watershed hydrology assessment for the Nueces River basin--Appendix A, statistical hydrology.","interactions":[],"lastModifiedDate":"2025-04-07T15:13:09.568796","indexId":"70265237","displayToPublicDate":"2025-03-01T09:47:45","publicationYear":"2025","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"title":"Watershed hydrology assessment for the Nueces River basin--Appendix A, statistical hydrology.","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"Interagency Flood Risk Management (InFRM)","usgsCitation":"Wallace, D., and Watson, K.M., 2025, Watershed hydrology assessment for the Nueces River basin--Appendix A, statistical hydrology., 100 p.","productDescription":"100 p.","ipdsId":"IP-144878","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":484168,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"http://webapps.usgs.gov/infrm"},{"id":484250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Texas","otherGeospatial":"Nueces River basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.48516111849933,\n              28.602627339567448\n            ],\n            [\n              -98.48516111849933,\n              27.684996006363292\n            ],\n            [\n              -97.23485178601354,\n              27.684996006363292\n            ],\n            [\n              -97.23485178601354,\n              28.602627339567448\n            ],\n            [\n              -98.48516111849933,\n              28.602627339567448\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wallace, David 0000-0002-9134-8197","orcid":"https://orcid.org/0000-0002-9134-8197","contributorId":220786,"corporation":false,"usgs":true,"family":"Wallace","given":"David","email":"","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":932582,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70269357,"text":"70269357 - 2025 - ARCHI: A new R package for automated imputation of regionally correlated hydrologic records","interactions":[],"lastModifiedDate":"2025-07-21T14:22:11.345476","indexId":"70269357","displayToPublicDate":"2025-02-28T09:18:44","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3825,"text":"Groundwater","active":true,"publicationSubtype":{"id":10}},"title":"ARCHI: A new R package for automated imputation of regionally correlated hydrologic records","docAbstract":"<p><span>Missing data in hydrological records can limit resource assessment, process understanding, and predictive modeling. Here, we present ARCHI (Automated Regional Correlation Analysis for Hydrologic Record Imputation), a new, open-source software package in R designed to aggregate, impute, cluster, and visualize regionally correlated hydrologic records. ARCHI imputes missing data in “target” records by linear regression using more complete “reference” records as predictors. Automated imputation is implemented using a novel, iterative algorithm that allows each site to be considered a target or reference for regression, growing the pool of complete references with each imputed record until viable gap-filling ceases. Users can limit artifacts from spurious correlations by specifying model-acceptance criteria and applying geospatial, correlation, and group-based filters to control reference selection. ARCHI provides additional functions for visualizing results, clustering records with similar correlation structures, evaluating holdout data, and interactive parameterization with an accessible and intuitive graphical user interface (GUI). This methods brief provides an overview of the ARCHI package, modeling guidelines, and benchmarking on two regional groundwater-level datasets from the Central Valley, CA and Long Island, NY. We evaluate ARCHI alongside widely used multivariate imputation software to highlight and contextualize its computational efficiency, imputation accuracy, and model transparency when applied to large, groundwater-level datasets.</span></p>","language":"English","publisher":"Wiley","doi":"10.1111/gwat.13474","usgsCitation":"Levy, Z., Glas, R.L., Stagnitta, T.J., and Terry, N., 2025, ARCHI: A new R package for automated imputation of regionally correlated hydrologic records: Groundwater, v. 62, no. 4, p. 595-610, https://doi.org/10.1111/gwat.13474.","productDescription":"16 p.","startPage":"595","endPage":"610","ipdsId":"IP-166664","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":492870,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gwat.13474","text":"Publisher Index Page"},{"id":492796,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P17NXGHV","text":"USGS data release","linkHelpText":"Example Groundwater-Level Datasets and Benchmarking Results for the Automated Regional Correlation Analysis for Hydrologic Record Imputation (ARCHI) Software Package"},{"id":492616,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California, New York","otherGeospatial":"Central Valley, Long Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -121.13447900247726,\n              37.3805353859038\n            ],\n            [\n              -121.13447900247726,\n              35.88363374499093\n            ],\n            [\n              -118.93035501208706,\n              35.88363374499093\n            ],\n            [\n              -118.93035501208706,\n              37.3805353859038\n            ],\n            [\n              -121.13447900247726,\n              37.3805353859038\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -71.76788606860265,\n              41.23528810034301\n            ],\n            [\n              -74.12298971233533,\n              41.23528810034301\n            ],\n            [\n              -74.12298971233533,\n              40.43286561377994\n            ],\n            [\n              -71.76788606860265,\n              40.43286561377994\n            ],\n            [\n              -71.76788606860265,\n              41.23528810034301\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"62","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Levy, Zeno F. 0000-0003-4580-2309","orcid":"https://orcid.org/0000-0003-4580-2309","contributorId":222340,"corporation":false,"usgs":true,"family":"Levy","given":"Zeno","middleInitial":"F.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943531,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Glas, Robin L. 0000-0002-7394-1667","orcid":"https://orcid.org/0000-0002-7394-1667","contributorId":300625,"corporation":false,"usgs":true,"family":"Glas","given":"Robin","email":"","middleInitial":"L.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":943532,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stagnitta, Timothy J. 0000-0001-8903-428X","orcid":"https://orcid.org/0000-0001-8903-428X","contributorId":304230,"corporation":false,"usgs":true,"family":"Stagnitta","given":"Timothy","email":"","middleInitial":"J.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":true,"id":943533,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Terry, Neil 0000-0002-3965-340X nterry@usgs.gov","orcid":"https://orcid.org/0000-0002-3965-340X","contributorId":192554,"corporation":false,"usgs":true,"family":"Terry","given":"Neil","email":"nterry@usgs.gov","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true}],"preferred":true,"id":943534,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70264011,"text":"70264011 - 2025 - The role of bedrock circulation depth and porosity in mountain streamflow response to prolonged drought","interactions":[],"lastModifiedDate":"2025-03-04T15:45:33.410255","indexId":"70264011","displayToPublicDate":"2025-02-28T08:38:13","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"The role of bedrock circulation depth and porosity in mountain streamflow response to prolonged drought","docAbstract":"Quantitative understanding is lacking on how the depth of active groundwater circulation in\nbedrock affects mountain streamflow response to a multi‐year drought. We use an integrated hydrological model to explore the sensitivity of a variety of streamflow metrics to bedrock circulation depth and porosity under a plausible extreme drought scenario lasting up to 5 years. Endmember depth versus hydraulic conductivity relationships and porosity values for fractured crystalline rock are simulated. With drought, a deeper circulation system with higher drainable porosity more effectively buffers minimum flow and significantly limits perennial stream loss in comparison to a shallow circulation system. Streamflow buffering is accomplished through extensive groundwater storage loss. However, deeper circulation systems experience prolonged recovery from drought in comparison to storage‐limited shallow systems. Research highlights the importance of characterizing the deeper bedrock hydrogeology in mountainous watersheds to better understand and predict drought impacts on stream ecosystem health and water resource sustainability.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL112927","usgsCitation":"Carroll, R., Manning, A.H., and Williams, K., 2025, The role of bedrock circulation depth and porosity in mountain streamflow response to prolonged drought: Geophysical Research Letters, v. 52, no. 4, e2024GL112927, 12 p., https://doi.org/10.1029/2024GL112927.","productDescription":"e2024GL112927, 12 p.","ipdsId":"IP-171471","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":487740,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl112927","text":"Publisher Index Page"},{"id":482802,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Copper Creek","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.1775889108842,\n              39.499761316913094\n            ],\n            [\n              -106.1775889108842,\n              39.45001492350738\n            ],\n            [\n              -106.1485831457982,\n              39.45001492350738\n            ],\n            [\n              -106.1485831457982,\n              39.499761316913094\n            ],\n            [\n              -106.1775889108842,\n              39.499761316913094\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"52","issue":"4","noUsgsAuthors":false,"publicationDate":"2025-02-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Carroll, Rosemary W.H.","contributorId":336921,"corporation":false,"usgs":false,"family":"Carroll","given":"Rosemary W.H.","affiliations":[{"id":55475,"text":"Desert Research Institute, Reno, NV","active":true,"usgs":false}],"preferred":false,"id":929470,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":929471,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Williams, Kenneth H.","contributorId":336926,"corporation":false,"usgs":false,"family":"Williams","given":"Kenneth H.","affiliations":[{"id":80914,"text":"Rocky Mountain Biological Laboratory, Gothic, CO","active":true,"usgs":false}],"preferred":false,"id":929472,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70264313,"text":"70264313 - 2025 - Analyzing multi-year nitrate concentration evolution in Alabama aquatic systems using a machine learning model","interactions":[],"lastModifiedDate":"2025-03-11T14:33:16.317819","indexId":"70264313","displayToPublicDate":"2025-02-27T09:28:46","publicationYear":"2025","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5021,"text":"Environments","active":true,"publicationSubtype":{"id":10}},"title":"Analyzing multi-year nitrate concentration evolution in Alabama aquatic systems using a machine learning model","docAbstract":"<p><span>Rising nitrate contamination in water systems poses significant risks to public health and ecosystem stability, necessitating advanced modeling to understand nitrate dynamics more accurately. This study applies the long short-term memory (LSTM) modeling to investigate the hydrologic and environmental factors influencing nitrate concentration dynamics in rivers and aquifers across the state of Alabama in the southeast of the United States. By integrating dynamic data such as streamflow and groundwater levels with static catchment attributes, the machine learning model identifies primary drivers of nitrate fluctuations, offering detailed insights into the complex interactions affecting multi-year nitrate concentrations in natural aquatic systems. In addition, a novel LSTM-based approach utilizes synthetic surface water nitrate data to predict groundwater nitrate levels, helping to address monitoring gaps in aquifers connected to these rivers. This method reveals potential correlations between surface water and groundwater nitrate dynamics, which is particularly meaningful given the lack of water quality observations in many aquifers. Field applications further show that, while the LSTM model effectively captures seasonal trends, limitations in representing extreme nitrate events suggest areas for further refinement. These findings contribute to data-driven water quality management, enhancing understanding of nitrate behavior in interconnected water systems.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/environments12030075","usgsCitation":"KarimiDermani, B., Green, C., Tick, G., Gholizadeh, H., Wei, W., and Zhang, Y., 2025, Analyzing multi-year nitrate concentration evolution in Alabama aquatic systems using a machine learning model: Environments, v. 12, no. 3, 75, 20 p., https://doi.org/10.3390/environments12030075.","productDescription":"75, 20 p.","ipdsId":"IP-169838","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":487829,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/environments12030075","text":"Publisher Index 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