{"pageNumber":"171","pageRowStart":"4250","pageSize":"25","recordCount":68775,"records":[{"id":70228319,"text":"70228319 - 2021 - Host correlates of avian influenza virus infection in wild waterfowl of the Sacramento Valley, California","interactions":[],"lastModifiedDate":"2022-02-08T12:42:49.151581","indexId":"70228319","displayToPublicDate":"2021-12-22T06:37:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":948,"text":"Avian Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Host correlates of avian influenza virus infection in wild waterfowl of the Sacramento Valley, California","docAbstract":"

Avian influenza viruses (AIVs) are distributed globally in members of the family Anatidae (waterfowl), and significant disease may occur when these viruses infect commercial poultry or humans. Early detection of AIV through surveillance of wild waterfowl is one measure to prevent future disease outbreaks. Surveillance efforts that are designed to account for host and environmental determinants of susceptibility to infection are likely to be most effective. However, these determinants have not been clearly delineated and may vary with location. Because some regions are at greater risk for AIV outbreaks, the factors that contribute to AIV infection of waterfowl in these areas are of interest. We investigated the prevalence of AIVs in hunter-killed waterfowl at wintering sites in California's Central Valley. Overall, AIV prevalence was 10.5% and, after controlling for age and sex, was greatest in northern shovelers (Spatula clypeata) and lowest in wood ducks (Aix sponsa). Overall, AIV prevalence was higher in females than in males, but this trend was driven by one sampling year and one waterfowl species (green-winged teal, Anas crecca). AIV prevalence in waterfowl was lower in samples collected from brackish wetlands compared with those collected from freshwater wetlands, suggesting that wetland type or other environmental factors contribute to AIV prevalence. This study adds to our understanding of the ecology of AIV infection in waterfowl and may assist in developing more efficient, targeted surveillance efforts for the detection of potentially harmful viruses circulating in North American waterfowl.

","language":"English","publisher":"American Association of Avian Pathologists","doi":"10.1637/aviandiseases-D-21-00071","usgsCitation":"Bianchini, E.A., Bogiatto, R.J., Donatello, R.A., Casazza, M.L., Ackerman, J.T., De La Cruz, S.E., and Cline, T.D., 2021, Host correlates of avian influenza virus infection in wild waterfowl of the Sacramento Valley, California: Avian Diseases, v. 66, no. 1, p. 1-9, https://doi.org/10.1637/aviandiseases-D-21-00071.","productDescription":"9 p.","startPage":"1","endPage":"9","ipdsId":"IP-132804","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":395604,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Sacramento Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.9150390625,\n 37.24782120155428\n ],\n [\n -121.201171875,\n 37.24782120155428\n ],\n [\n -121.201171875,\n 40.396764305572056\n ],\n [\n -122.9150390625,\n 40.396764305572056\n ],\n [\n -122.9150390625,\n 37.24782120155428\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"66","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bianchini, Elizabeth A.","contributorId":275140,"corporation":false,"usgs":false,"family":"Bianchini","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[{"id":56713,"text":"California State University, Chico CA","active":true,"usgs":false}],"preferred":false,"id":833692,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bogiatto, Raymond J.","contributorId":275141,"corporation":false,"usgs":false,"family":"Bogiatto","given":"Raymond","email":"","middleInitial":"J.","affiliations":[{"id":56713,"text":"California State University, Chico CA","active":true,"usgs":false}],"preferred":false,"id":833693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donatello, Robin A.","contributorId":275142,"corporation":false,"usgs":false,"family":"Donatello","given":"Robin","email":"","middleInitial":"A.","affiliations":[{"id":56713,"text":"California State University, Chico CA","active":true,"usgs":false}],"preferred":false,"id":833694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":833695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":833696,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"De La Cruz, Susan E.W. 0000-0001-6315-0864","orcid":"https://orcid.org/0000-0001-6315-0864","contributorId":202774,"corporation":false,"usgs":true,"family":"De La Cruz","given":"Susan","email":"","middleInitial":"E.W.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":833697,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Cline, Troy D.","contributorId":275143,"corporation":false,"usgs":false,"family":"Cline","given":"Troy","email":"","middleInitial":"D.","affiliations":[{"id":56713,"text":"California State University, Chico CA","active":true,"usgs":false}],"preferred":false,"id":833698,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70257014,"text":"70257014 - 2021 - SUAS and machine learning integration in waterfowl population surveys","interactions":[],"lastModifiedDate":"2024-09-05T15:50:32.691376","indexId":"70257014","displayToPublicDate":"2021-12-21T10:45:17","publicationYear":"2021","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"SUAS and machine learning integration in waterfowl population surveys","docAbstract":"

The rapid technological development of small Unmanned Aircraft Systems (sUAS) has led to an increase in capabilities of aerial image collection and analysis for monitoring a variety of wildlife species including waterfowl. Biologists mainly rely on conducting ocular surveys from fixed-wing aircraft or helicopters to estimate waterfowl abundance. sUAS provide an alternative that is safer, less expensive, and more flexible. Researchers have attempted to estimate waterfowl abundance from aerial imagery, but this method has proven to be too time consuming. Machine learning provides the opportunity to more efficiently estimate waterfowl abundance from aerial imagery. In this paper, we present a new integrated system of sUAS and machine learning for waterfowl population surveys. This system provides a user-friendly process for sUAS survey design, deployment, and data post-processing using deep learning methods to automatically detect and count waterfowl. To develop this system, we conducted many sUAS flights to capture a diversity of imagery and assembled six datasets of imagery taken from both fix-winged aircraft and sUAS flights. We used these datasets to develop and evaluate state-of-the-art deep learning models for waterfowl detection. Our system of using a combination of sUAS and machine learning has proved to be an efficient and accurate approach for collecting, analyzing, and estimating waterfowl abundance.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)","conferenceDate":"November 1-3, 2021","language":"English","doi":"10.1109/ICTAI52525.2021.00084","usgsCitation":"Tang, Z., Zhang, Y., Wang, Y.Q., Shang, Y., Viegut, R., Webb, E.B., Raedeke, A., and Sartwell, J., 2021, SUAS and machine learning integration in waterfowl population surveys, in 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), November 1-3, 2021, p. 517-521, https://doi.org/10.1109/ICTAI52525.2021.00084.","productDescription":"6 p.","startPage":"517","endPage":"521","ipdsId":"IP-131231","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433508,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tang, Z.","contributorId":341913,"corporation":false,"usgs":false,"family":"Tang","given":"Z.","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":909151,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhang, Y.","contributorId":274978,"corporation":false,"usgs":false,"family":"Zhang","given":"Y.","affiliations":[{"id":13360,"text":"Auburn University","active":true,"usgs":false}],"preferred":false,"id":909152,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wang, Y. Q.","contributorId":221210,"corporation":false,"usgs":false,"family":"Wang","given":"Y.","email":"","middleInitial":"Q.","affiliations":[],"preferred":false,"id":909153,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Shang, Y.","contributorId":341914,"corporation":false,"usgs":false,"family":"Shang","given":"Y.","email":"","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":909154,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Viegut, R.","contributorId":341915,"corporation":false,"usgs":false,"family":"Viegut","given":"R.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":909155,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Webb, Elisabeth B. 0000-0003-3851-6056 ewebb@usgs.gov","orcid":"https://orcid.org/0000-0003-3851-6056","contributorId":3981,"corporation":false,"usgs":true,"family":"Webb","given":"Elisabeth","email":"ewebb@usgs.gov","middleInitial":"B.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":909156,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Raedeke, Andy","contributorId":341916,"corporation":false,"usgs":false,"family":"Raedeke","given":"Andy","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":909157,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sartwell, J.","contributorId":341917,"corporation":false,"usgs":false,"family":"Sartwell","given":"J.","email":"","affiliations":[{"id":16971,"text":"Missouri Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":909158,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70226907,"text":"sir20215132 - 2021 - Kootenai River white sturgeon (Acipenser transmontanus) fine-scale habitat selection and preference, Kootenai River near Bonners Ferry, Idaho, 2017","interactions":[],"lastModifiedDate":"2023-05-31T11:20:34.120912","indexId":"sir20215132","displayToPublicDate":"2021-12-20T12:52:33","publicationYear":"2021","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":"2021-5132","displayTitle":"Kootenai River White Sturgeon (Acipenser transmontanus) Fine-Scale Habitat Selection and Preference, Kootenai River near Bonners Ferry, Idaho, 2017","title":"Kootenai River white sturgeon (Acipenser transmontanus) fine-scale habitat selection and preference, Kootenai River near Bonners Ferry, Idaho, 2017","docAbstract":"

To quantify fine-scale Kootenai River white sturgeon (Acipenser transmontanus) staging and spawning habitat selection and preference within a recently restored reach of the Kootenai River, the U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, integrated acoustic telemetry data with two-dimensional hydraulic model simulations within a 1.5-kilometer reach of the Kootenai River near Bonners Ferry, northern Idaho. Twenty-seven individual Kootenai River white sturgeon were detected in the study reach during May 6–June 30, 2017. The largest concentration of fish positions occurred near the edge of the gravel bar adjacent to the right bank pool-forming structure and additional concentrations of fish positions occurred near two recently constructed rock substrate clusters. The difference in preferred and available depth distributions quantifies that Kootenai River white sturgeon generally preferred depths of 7–11.5 meters, deeper than the most frequently available depths. About 71 percent of the detections occurred within the lower one-third of the water column, placing Kootenai River white sturgeon at or near the channel bed. The difference in available and preferred water velocities indicated that Kootenai River white sturgeon generally preferred a wide range of velocities from 0.0 to 1.0 meters per second, and generally preferred velocities that were less than the most frequently occurring available velocities. Kootenai River white sturgeon generally preferred the downstream part of the study area where water velocities were less than those in the upstream part. This study concludes that Kootenai River white sturgeon generally avoided shallow areas with increased velocities and generally favored deep areas with lower velocities near recently constructed restoration structures.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215132","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Fosness, R.L., Dudunake, T.J., McDonald, R.R., Hardy, R.S., Young, S., Ireland, S., and Hoffman, G.C., 2021, Kootenai River white sturgeon (Acipenser transmontanus) fine-scale habitat selection and preference, Kootenai River near Bonners Ferry, Idaho, 2017: U.S. Geological Survey Scientific Investigations Report 2021–5132, 21 p., https://doi.org/10.3133/sir20215132.","productDescription":"Report: vii, 21 p; Data Release","onlineOnly":"Y","ipdsId":"IP-105165","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":396731,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5132/sir20215132.XML","description":"SIR 2021-5132"},{"id":393132,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97TMY3D","text":"USGS data release","description":"USGS Data Release","linkHelpText":"White sturgeon fine-scale habitat model archive, Kootenai River near Bonners Ferry, Idaho, 2017"},{"id":393131,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5132/sir20215132.pdf","text":"Report","size":"4.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5132"},{"id":393130,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5132/coverthb.jpg"},{"id":396944,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5132/images"},{"id":402990,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20215132/full","description":"SIR 2021-5132"}],"country":"United States","state":"Idaho","city":"Bonners Ferry","otherGeospatial":"Kootenai River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.6802978515625,\n 48.58205840283824\n ],\n [\n -116.05957031249999,\n 48.58205840283824\n ],\n [\n -116.05957031249999,\n 48.99824008113872\n ],\n [\n -116.6802978515625,\n 48.99824008113872\n ],\n [\n -116.6802978515625,\n 48.58205840283824\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Idaho Water Science Center
U.S. Geological Survey
230 Collins Road
Boise, Idaho 83702-4520

","tableOfContents":"","publishedDate":"2021-12-20","noUsgsAuthors":false,"publicationDate":"2021-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Fosness, Ryan L. 0000-0003-4089-2704 rfosness@usgs.gov","orcid":"https://orcid.org/0000-0003-4089-2704","contributorId":2703,"corporation":false,"usgs":true,"family":"Fosness","given":"Ryan","email":"rfosness@usgs.gov","middleInitial":"L.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828743,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dudunake, Taylor J. 0000-0001-7650-2419 tdudunake@usgs.gov","orcid":"https://orcid.org/0000-0001-7650-2419","contributorId":213485,"corporation":false,"usgs":true,"family":"Dudunake","given":"Taylor","email":"tdudunake@usgs.gov","middleInitial":"J.","affiliations":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"preferred":false,"id":828744,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, Richard R. 0000-0002-0703-0638 rmcd@usgs.gov","orcid":"https://orcid.org/0000-0002-0703-0638","contributorId":2428,"corporation":false,"usgs":true,"family":"McDonald","given":"Richard","email":"rmcd@usgs.gov","middleInitial":"R.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":828745,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hardy, Ryan S.","contributorId":167032,"corporation":false,"usgs":false,"family":"Hardy","given":"Ryan","email":"","middleInitial":"S.","affiliations":[{"id":6764,"text":"Idaho Department of Fish and Game, Nampa, Idaho","active":true,"usgs":false}],"preferred":false,"id":828746,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Young, Shawn","contributorId":213546,"corporation":false,"usgs":false,"family":"Young","given":"Shawn","affiliations":[{"id":29827,"text":"Kootenai Tribe of Idaho, Bonners Ferry, ID, USA","active":true,"usgs":false}],"preferred":false,"id":828747,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ireland, Susan","contributorId":270219,"corporation":false,"usgs":false,"family":"Ireland","given":"Susan","affiliations":[{"id":29827,"text":"Kootenai Tribe of Idaho, Bonners Ferry, ID, USA","active":true,"usgs":false}],"preferred":false,"id":828748,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hoffman, Gregory C.","contributorId":270220,"corporation":false,"usgs":false,"family":"Hoffman","given":"Gregory","email":"","middleInitial":"C.","affiliations":[{"id":12620,"text":"U.S. Army Corp. of Engineers","active":true,"usgs":false}],"preferred":false,"id":828749,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70226881,"text":"ofr20211114 - 2021 - Synthesis of habitat availability and carrying capacity research to support water management decisions and enhance conditions for Pacific salmon in the Willamette River, Oregon","interactions":[],"lastModifiedDate":"2021-12-21T14:36:54.966393","indexId":"ofr20211114","displayToPublicDate":"2021-12-20T09:58:57","publicationYear":"2021","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":"2021-1114","displayTitle":"Synthesis of Habitat Availability and Carrying Capacity Research to Support Water Management Decisions and Enhance Conditions for Pacific Salmon in the Willamette River, Oregon","title":"Synthesis of habitat availability and carrying capacity research to support water management decisions and enhance conditions for Pacific salmon in the Willamette River, Oregon","docAbstract":"

Flow management is complex in the Willamette River Basin where the U.S. Army Corps of Engineers owns and operates a system of 13 dams and reservoirs (hereinafter Willamette Project), which are spread throughout three large tributaries including the Middle Fork Willamette, McKenzie, and Santiam Rivers. The primary purpose of the Willamette Project is flood-risk management, which provides critical protection to the Willamette Valley, but flow managers must also consider factors such as power generation, water-quality improvement, irrigation, recreation, and protection for aquatic species such as U.S. Endangered Species Act-listed Chinook salmon (Oncorhynchus tshawytscha) and steelhead (O. mykiss). Flow-management decision-making in the basin can benefit from models that allow for flow-scenario comparisons and a wide range of modeling methods are available. For this study, we examined existing datasets and modeling efforts in the basin and provided an overview of available options. Most previous studies used Physical Habitat Simulation System, habitat data were collected from a series of transects within modeled reaches, and habitat suitability indices were obtained from the literature, or using expert opinion. These studies provide information for specific reaches of the Willamette River Basin, which limits their ability to provide broad-scale predictive capability. Recent efforts to develop a two-dimensional hydraulic model in the mainstem Willamette River, and in specific reaches of primary tributaries downstream from Project dams, have bolstered modeling capabilities in the basin. This work has developed spatially continuous water depth and velocity data in more than 250 kilometers (km) of river downstream from Project dams and has predictive capability throughout the year at flows up to normal peak levels. Additionally, other methods are described for estimating habitat availability, which include habitat suitability criteria, logistic regression, occupancy and abundance modeling, and energetic based approaches. There are strengths and weaknesses to each approach and selection of the preferred approach in the Willamette River Basin will depend on the desired metrics of interest and the risk tolerance of managers and stakeholders in the basin.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211114","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Kock, T.J., Perry, R.W., Hansen, G.S., White, J., Stratton Garvin, L., and Wallick, J.R., 2021, Synthesis of habitat availability and carrying capacity research to support water management decisions and enhance conditions for Pacific salmon in the Willamette River, Oregon: U.S. Geological Survey Open-File Report 2021–1114, 24 p., https://doi.org/10.3133/ofr20211114.","productDescription":"vii, 24 p.","onlineOnly":"Y","ipdsId":"IP-127909","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":393073,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1114/ofr20211114.pdf","text":"Report","size":"20 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1114"},{"id":393072,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1114/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Willamette River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -123.33251953125,\n 43.41302868475145\n ],\n [\n -121.59667968749999,\n 43.41302868475145\n ],\n [\n -121.59667968749999,\n 45.79050946752472\n ],\n [\n -123.33251953125,\n 45.79050946752472\n ],\n [\n -123.33251953125,\n 43.41302868475145\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016

","tableOfContents":"","publishedDate":"2021-12-20","noUsgsAuthors":false,"publicationDate":"2021-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":828608,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":828609,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hansen, Gabriel S. 0000-0001-6272-3632 ghansen@usgs.gov","orcid":"https://orcid.org/0000-0001-6272-3632","contributorId":3422,"corporation":false,"usgs":true,"family":"Hansen","given":"Gabriel","email":"ghansen@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":828610,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"White, James 0000-0002-7255-3785 jameswhite@usgs.gov","orcid":"https://orcid.org/0000-0002-7255-3785","contributorId":193492,"corporation":false,"usgs":true,"family":"White","given":"James","email":"jameswhite@usgs.gov","affiliations":[],"preferred":true,"id":828611,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stratton Garvin, Laurel E. 0000-0001-8567-8619 lstratton@usgs.gov","orcid":"https://orcid.org/0000-0001-8567-8619","contributorId":270182,"corporation":false,"usgs":true,"family":"Stratton Garvin","given":"Laurel","email":"lstratton@usgs.gov","middleInitial":"E.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828612,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wallick, J. Rose 0000-0002-9392-272X rosewall@usgs.gov","orcid":"https://orcid.org/0000-0002-9392-272X","contributorId":3583,"corporation":false,"usgs":true,"family":"Wallick","given":"J. Rose","email":"rosewall@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828613,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226963,"text":"70226963 - 2021 - Estimating actual evapotranspiration over croplands using vegetation index methods and dynamic harvested area","interactions":[],"lastModifiedDate":"2021-12-22T12:45:24.962293","indexId":"70226963","displayToPublicDate":"2021-12-20T06:41:05","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Estimating actual evapotranspiration over croplands using vegetation index methods and dynamic harvested area","docAbstract":"
Advances in estimating actual evapotranspiration (ETa) with remote sensing (RS) have contributed to improving hydrological, agricultural, and climatological studies. In this study, we evaluated the applicability of Vegetation-Index (VI) -based ETa (ET-VI) for mapping and monitoring drought in arid agricultural systems in a region where a lack of ground data hampers ETa work. To map ETa (2000–2019), ET-VIs were translated and localized using Landsat-derived 3- and 2-band Enhanced Vegetation Indices (EVI and EVI2) over croplands in the Zayandehrud River Basin (ZRB) in Iran. Since EVI and EVI2 were optimized for the MODerate Imaging Spectroradiometer (MODIS), using these VIs with Landsat sensors required a cross-sensor transformation to allow for their use in the ET-VI algorithm. The before- and after- impact of applying these empirical translation methods on the ETa estimations was examined. We also compared the effect of cropping patterns’ interannual change on the annual ETa rate using the maximum Normalized Difference Vegetation Index (NDVI) time series. The performance of the different ET-VIs products was then evaluated. Our results show that ETa estimates agreed well with each other and are all suitable to monitor ETa in the ZRB. Compared to ETc values, ETa estimations from MODIS-based continuity corrected Landsat-EVI (EVI2) (EVIMccL and EVI2MccL) performed slightly better across croplands than those of Landsat-EVI (EVI2) without transformation. The analysis of harvested areas and ET-VIs anomalies revealed a decline in the extent of cultivated areas and a loss of corresponding water resources downstream. The findings show the importance of continuity correction across sensors when using empirical algorithms designed and optimized for specific sensors. Our comprehensive ETa estimation of agricultural water use at 30 m spatial resolution provides an inexpensive monitoring tool for cropping areas and their water consumption. 
","language":"English","publisher":"MDPI","doi":"10.3390/rs13245167","usgsCitation":"Abbasi, N., Nouri, H., Didan, K., Barreto Munez, A., Chavoshi Borujeni, S., Salemi, H., Opp, C., Siebert, S., and Nagler, P.L., 2021, Estimating actual evapotranspiration over croplands using vegetation index methods and dynamic harvested area: Remote Sensing, v. 13, no. 24, 5167, 27 p., https://doi.org/10.3390/rs13245167.","productDescription":"5167, 27 p.","ipdsId":"IP-133278","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":450008,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs13245167","text":"Publisher Index Page"},{"id":393291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"24","noUsgsAuthors":false,"publicationDate":"2021-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Abbasi, Neda","contributorId":270293,"corporation":false,"usgs":false,"family":"Abbasi","given":"Neda","email":"","affiliations":[{"id":56138,"text":"Dept of Crop Sciences, University of Göttingen, Von-Siebold-Straße 8, 37075, Göttingen, Germany; Dept of Geography, Philipps-Universität Marburg, Deutschhausstraße 10, 35032, Marburg, Germany","active":true,"usgs":false}],"preferred":false,"id":828951,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Nouri, Hamideh","contributorId":178847,"corporation":false,"usgs":false,"family":"Nouri","given":"Hamideh","affiliations":[],"preferred":false,"id":828952,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Didan, Kamel","contributorId":130999,"corporation":false,"usgs":false,"family":"Didan","given":"Kamel","email":"","affiliations":[{"id":7204,"text":"University of Arizona, Electrical and Computer Engineering","active":true,"usgs":false}],"preferred":false,"id":828953,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Barreto Munez, Armando","contributorId":270294,"corporation":false,"usgs":false,"family":"Barreto Munez","given":"Armando","email":"","affiliations":[{"id":56140,"text":"Biosystems Engineering. The University of Arizona, 1177 E. 4th St., Tucson, AZ 85719, USA","active":true,"usgs":false}],"preferred":false,"id":828954,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Chavoshi Borujeni, Sattar","contributorId":241612,"corporation":false,"usgs":false,"family":"Chavoshi Borujeni","given":"Sattar","email":"","affiliations":[{"id":48363,"text":"Soil Conservation and Watershed Management Research Department, Isfahan Agricultural and Natural Resources Research and Education Centre, AREEO, Isfahan, Iran","active":true,"usgs":false}],"preferred":false,"id":828955,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Salemi, Hamidreza","contributorId":270295,"corporation":false,"usgs":false,"family":"Salemi","given":"Hamidreza","email":"","affiliations":[{"id":56141,"text":"Agricultural Engineering Research Institute, Isfahan Agricultural and Natural Resources Research and Education Center, AREEO, Isfahan 19395-1113, Iran","active":true,"usgs":false}],"preferred":false,"id":828956,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Opp, Christian","contributorId":270296,"corporation":false,"usgs":false,"family":"Opp","given":"Christian","email":"","affiliations":[{"id":56142,"text":"Dept of Geography, Philipps-Universität Marburg, Deutschhausstraße 10, 35032, Marburg, Germany","active":true,"usgs":false}],"preferred":false,"id":828957,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Siebert, Stefan","contributorId":270297,"corporation":false,"usgs":false,"family":"Siebert","given":"Stefan","email":"","affiliations":[{"id":56143,"text":"Dept of Crop Sciences, University of Göttingen, Von-Siebold-Straße 8, 37075, Göttingen, Germany","active":true,"usgs":false}],"preferred":false,"id":828958,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nagler, Pamela L. 0000-0003-0674-103X pnagler@usgs.gov","orcid":"https://orcid.org/0000-0003-0674-103X","contributorId":1398,"corporation":false,"usgs":true,"family":"Nagler","given":"Pamela","email":"pnagler@usgs.gov","middleInitial":"L.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":828959,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70226888,"text":"70226888 - 2021 - Paleohydrological context for recent floods and droughts in the Fraser River Basin, British Columbia, Canada","interactions":[],"lastModifiedDate":"2021-12-20T12:55:52.958563","indexId":"70226888","displayToPublicDate":"2021-12-17T06:52:17","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Paleohydrological context for recent floods and droughts in the Fraser River Basin, British Columbia, Canada","docAbstract":"

The recent intensification of floods and droughts in the Fraser River Basin (FRB) of British Columbia has had profound cultural, ecological, and economic impacts that are expected to be exacerbated further by anthropogenic climate change. In part due to short instrumental runoff records, the long-term stationarity of hydroclimatic extremes in this major North American watershed remains poorly understood, highlighting the need to use high-resolution paleoenvironmental proxies to inform on past streamflow. Here we use a network of tree-ring proxy records to develop 11 subbasin-scale, complementary flood- and drought-season reconstructions, the first of their kind. The reconstructions explicitly target management-relevant flood and drought seasons within each basin, and are examined in tandem to provide an expanded assessment of extreme events across the FRB with immediate implications for water management. We find that past high flood-season flows have been of greater magnitude and occurred in more consecutive years than during the observational record alone. Early 20th century low flows in the drought season were especially severe in both duration and magnitude in some subbasins relative to recent dry periods. Our Fraser subbasin-scale reconstructions provide long-term benchmarks for the natural flood and drought variability prior to anthropogenic forcing. These reconstructions demonstrate that the instrumental streamflow records upon which current management is based likely underestimate the full natural magnitude, duration, and frequency of extreme seasonal flows in the FRB, as well as the potential severity of future anthropogenically forced events.

","language":"English","publisher":"IOP","doi":"10.1088/1748-9326/ac3daf","usgsCitation":"Brice, R.L., Coulthard, B., Homfeld, I., Dye, L., and Anchukaitis, K., 2021, Paleohydrological context for recent floods and droughts in the Fraser River Basin, British Columbia, Canada: Environmental Research Letters, v. 16, no. 12, 124074, 13 p., https://doi.org/10.1088/1748-9326/ac3daf.","productDescription":"124074, 13 p.","ipdsId":"IP-131408","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":450011,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac3daf","text":"Publisher Index Page"},{"id":393093,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","state":"British Columbia","otherGeospatial":"Fraser River Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -127.79296875,\n 48.574789910928864\n ],\n [\n -113.90625,\n 48.574789910928864\n ],\n [\n -113.90625,\n 55.677584411089526\n ],\n [\n -127.79296875,\n 55.677584411089526\n ],\n [\n -127.79296875,\n 48.574789910928864\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Brice, Rebecca Lynn 0000-0003-0023-5988","orcid":"https://orcid.org/0000-0003-0023-5988","contributorId":247868,"corporation":false,"usgs":true,"family":"Brice","given":"Rebecca","email":"","middleInitial":"Lynn","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":828650,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Coulthard, Bethany L.","contributorId":270197,"corporation":false,"usgs":false,"family":"Coulthard","given":"Bethany","middleInitial":"L.","affiliations":[{"id":33776,"text":"University of Nevada, Las Vegas","active":true,"usgs":false}],"preferred":false,"id":828651,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Homfeld, Inga K.","contributorId":270198,"corporation":false,"usgs":false,"family":"Homfeld","given":"Inga","middleInitial":"K.","affiliations":[{"id":33776,"text":"University of Nevada, Las Vegas","active":true,"usgs":false}],"preferred":false,"id":828652,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dye, Laura A.","contributorId":270199,"corporation":false,"usgs":false,"family":"Dye","given":"Laura","middleInitial":"A.","affiliations":[{"id":56105,"text":"University of Arizona, Las Vegas","active":true,"usgs":false}],"preferred":false,"id":828653,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Anchukaitis, Kevin J.","contributorId":270200,"corporation":false,"usgs":false,"family":"Anchukaitis","given":"Kevin","middleInitial":"J.","affiliations":[{"id":7042,"text":"University of Arizona","active":true,"usgs":false}],"preferred":false,"id":828654,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70226852,"text":"sir20215138 - 2021 - Streamflow response to potential changes in climate in the Upper Rio Grande Basin","interactions":[],"lastModifiedDate":"2022-01-04T23:47:17.277742","indexId":"sir20215138","displayToPublicDate":"2021-12-16T16:27:02","publicationYear":"2021","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":"2021-5138","displayTitle":"Streamflow Response to Potential Changes in Climate in the Upper Rio Grande Basin","title":"Streamflow response to potential changes in climate in the Upper Rio Grande Basin","docAbstract":"

The Rio Grande is a vital water source for the southwestern States of Colorado, New Mexico, and Texas and for northern Mexico. The river serves as the primary source of water for irrigation in the region, has many environmental and recreational uses, and is used by more than 13 million people including those in the Cities of Albuquerque and Las Cruces, New Mexico; El Paso, Texas; and Ciudad Juárez, Chihuahua, Mexico. However, concern is growing over the increasing gap between water supply and demand in the Upper Rio Grande Basin. As populations increase and agricultural crop patterns change, demands for water are increasing, at the same time the region is undergoing a decrease in supply due to drought and climate change.

Quantifying the impact of projected climate change on Rio Grande streamflow is difficult because of numerous anthropogenic influences on the hydrologic system. The conveyance and use of surface water in the Upper Rio Grande Basin are achieved through an engineered system of reservoirs, diversions, and irrigation canals designed to deliver water to agricultural, municipal, and industrial users, who greatly reduce the cumulative volume of water in the river. For example, streamflow at Fort Quitman, Tex., the southernmost point of the Upper Rio Grande Basin, has undergone a 95-percent reduction in flow relative to the river’s native state, and some stretches of the river can intermittently go dry. Because streamflow in the basin is highly altered, disentangling the impacts of climate change and changes in streamflow due to anthropogenic influences such as dams, diversions, and other forms of water use is difficult. Therefore, a model of naturalized flow was developed to determine to what degree changes in streamflow can be attributed to potential changes in future temperature and precipitation without quantifying future changes in anthropogenic influences. This study, conducted by the U.S. Geological Survey in cooperation with the South Central Climate Adaptation Science Center and the U.S. Army Corps of Engineers, included the development and calibration of a watershed model of the Upper Rio Grande Basin using the Precipitation-Runoff Modeling System to simulate naturalized streamflow conditions for historical and future time periods.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215138","collaboration":"Prepared in cooperation with the South Central Climate Adaptation Science Center","usgsCitation":"Moeser, C.D., Chavarria, S.B., and Wootten, A.M., 2021, Streamflow response to potential changes in climate in the Upper Rio Grande Basin: U.S. Geological Survey Scientific Investigations Report 2021–5138, 41 p., https://doi.org/10.3133/sir20215138.","productDescription":"Report: x, 41 p.; Data Release","numberOfPages":"56","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-125477","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true},{"id":49928,"text":"South Central Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":393890,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://webapps.usgs.gov/urgb-prms/","text":"Streamflow Response to Potential Changes in Climate—Upper Rio Grande Basin"},{"id":392955,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5138/sir20215138.pdf","text":"Report","size":"25.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5138"},{"id":392954,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5138/coverthb.jpg"},{"id":392958,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5138/images"},{"id":392956,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9ML93QB","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Hydrologic simulations using projected climate data as input to the Precipitation-Runoff Modeling System (PRMS) in the Upper Rio Grande Basin (ver. 2.0, September 2021)"}],"country":"Mexico, United States","state":"Colorado, New Mexico, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -109.7314453125,\n 30.410781790845864\n ],\n [\n -102.21679687500001,\n 30.410781790845864\n ],\n [\n -102.21679687500001,\n 38.30718056188316\n ],\n [\n -109.7314453125,\n 38.30718056188316\n ],\n [\n -109.7314453125,\n 30.410781790845864\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2021-12-16","noUsgsAuthors":false,"publicationDate":"2021-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Moeser, C. David 0000-0003-0154-9110","orcid":"https://orcid.org/0000-0003-0154-9110","contributorId":214563,"corporation":false,"usgs":true,"family":"Moeser","given":"C.","email":"","middleInitial":"David","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chavarria, Shaleene B. 0000-0001-8792-1010","orcid":"https://orcid.org/0000-0001-8792-1010","contributorId":223376,"corporation":false,"usgs":true,"family":"Chavarria","given":"Shaleene","email":"","middleInitial":"B.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wootten, Adrienne M. 0000-0001-6004-5823","orcid":"https://orcid.org/0000-0001-6004-5823","contributorId":270141,"corporation":false,"usgs":false,"family":"Wootten","given":"Adrienne","email":"","middleInitial":"M.","affiliations":[{"id":49928,"text":"South Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":828491,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70226709,"text":"sir20215124 - 2021 - Groundwater chemistry, hydrogeologic properties, bioremediation potential, and three-dimensional numerical simulation of the sand and gravel aquifer at Naval Air Station Whiting Field, near Milton, Florida, 2015–20","interactions":[],"lastModifiedDate":"2022-04-14T16:00:18.279252","indexId":"sir20215124","displayToPublicDate":"2021-12-16T14:25:00","publicationYear":"2021","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":"2021-5124","displayTitle":"Groundwater Chemistry, Hydrogeologic Properties, Bioremediation Potential, and Three-Dimensional Numerical Simulation of the Sand and Gravel Aquifer at Naval Air Station Whiting Field, near Milton, Florida, 2015–20","title":"Groundwater chemistry, hydrogeologic properties, bioremediation potential, and three-dimensional numerical simulation of the sand and gravel aquifer at Naval Air Station Whiting Field, near Milton, Florida, 2015–20","docAbstract":"

The U.S. Geological Survey completed a study between 2015 and 2020 of groundwater contamination in the sand and gravel aquifer at a Superfund site in northwestern Florida. Groundwater-quality samples were collected from representative monitoring wells located along a groundwater-flow pathway and analyzed in the field and laboratory. In general, ambient groundwater in the sand and gravel aquifer is acidic, dilute, and oxic. Groundwater age-dating results indicate recharge to the contaminated parts of the aquifer occurred between the 1970s and 1980s. Natural gamma, electromagnetic induction, and borehole nuclear magnetic resonance logs indicated that aquifer hydraulic conductivities generally increased with depth as the aquifer formation material became coarser, characteristic of a prograding marginal-marine delta depositional environment. Aquifer formation material incubated with radiocarbon (carbon-14) cis-1,2-Dichloroethylene demonstrated biodegradation directly to carbon dioxide in contaminated and uncontaminated parts of the aquifer. A three-dimensional, numerical groundwater-flow MODFLOW model of the sand and gravel aquifer in the study area was constructed. The calibrated model reasonably reproduced measured groundwater heads and streamflows. Moreover, the model can be used to run simulations of outcomes of potential remedial strategies, such as monitored natural attenuation, as part of future feasibility studies in the area.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215124","collaboration":"Prepared in cooperation with the U.S. Navy Naval Facilities Engineering Systems Command Southeast","usgsCitation":"Landmeyer, J.E., Swain, E.D., Johnson, C.D., Lisle, J.T., McBride, W.S., Chung, D.H., and Singletary, M.A., 2021, Groundwater chemistry, hydrogeologic properties, bioremediation potential, and three-dimensional numerical simulation of the sand and gravel aquifer at Naval Air Station Whiting Field, near Milton, Florida, 2015–20: U.S. Geological Survey Scientific Investigations Report 2021–5124, 52 p., https://doi.org/10.3133/sir20215124.","productDescription":"Report: xi, 52 p.; Data Release: Dataset","numberOfPages":"52","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-119956","costCenters":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":393011,"rank":7,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20215124/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":393010,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9M0OD8F","text":"USGS data release","linkHelpText":"MODFLOW simulator used to assess groundwater flow for the Whiting Field Naval Air Station, Milton, FL"},{"id":392549,"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":392548,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5124/images/"},{"id":392547,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5124/sir20215124.XML"},{"id":392546,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5124/sir20215124.pdf","text":"Report","size":"4.94 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5124"},{"id":392545,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5124/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Naval Air Station Whiting Field","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.10304260253906,\n 30.621368403494955\n ],\n [\n -86.89773559570312,\n 30.621368403494955\n ],\n [\n -86.89773559570312,\n 30.784317689718897\n ],\n [\n -87.10304260253906,\n 30.784317689718897\n ],\n [\n -87.10304260253906,\n 30.621368403494955\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, South Atlantic Water Science Center
U.S. Geological Survey
1770 Corporate Drive
Suite 500
Norcross, GA 30093

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-12-16","noUsgsAuthors":false,"publicationDate":"2021-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Landmeyer, James 0000-0002-5640-3816 jlandmey@usgs.gov","orcid":"https://orcid.org/0000-0002-5640-3816","contributorId":3257,"corporation":false,"usgs":true,"family":"Landmeyer","given":"James","email":"jlandmey@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827882,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Swain, Eric D. 0000-0001-7168-708X edswain@usgs.gov","orcid":"https://orcid.org/0000-0001-7168-708X","contributorId":1538,"corporation":false,"usgs":true,"family":"Swain","given":"Eric","email":"edswain@usgs.gov","middleInitial":"D.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827883,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Carole D. 0000-0001-6941-1578 cjohnson@usgs.gov","orcid":"https://orcid.org/0000-0001-6941-1578","contributorId":1891,"corporation":false,"usgs":true,"family":"Johnson","given":"Carole","email":"cjohnson@usgs.gov","middleInitial":"D.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":827884,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lisle, John T. 0000-0002-5447-2092 jlisle@usgs.gov","orcid":"https://orcid.org/0000-0002-5447-2092","contributorId":2944,"corporation":false,"usgs":true,"family":"Lisle","given":"John","email":"jlisle@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":827885,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McBride, W. Scott 0000-0003-1828-2838","orcid":"https://orcid.org/0000-0003-1828-2838","contributorId":201573,"corporation":false,"usgs":true,"family":"McBride","given":"W.","email":"","middleInitial":"Scott","affiliations":[{"id":269,"text":"FLWSC-Ft. Lauderdale","active":true,"usgs":true}],"preferred":true,"id":827886,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chung, David H.","contributorId":269778,"corporation":false,"usgs":false,"family":"Chung","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":36522,"text":"U.S. Navy","active":true,"usgs":false}],"preferred":true,"id":827887,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Singletary , Michael A. ","contributorId":184217,"corporation":false,"usgs":false,"family":"Singletary ","given":"Michael A. ","affiliations":[],"preferred":false,"id":827888,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70226867,"text":"sir20215134 - 2021 - Substrate particle-size distribution, dissolved-oxygen concentrations, sediment temperatures, and groundwater/surface-water exchange in shoreline spawning habitat of sockeye salmon (Oncorhynchus nerka) of Lake Ozette, Western Washington","interactions":[],"lastModifiedDate":"2022-09-27T13:56:58.37823","indexId":"sir20215134","displayToPublicDate":"2021-12-16T14:19:46","publicationYear":"2021","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":"2021-5134","displayTitle":"Substrate Particle-Size Distribution, Dissolved-Oxygen Concentrations, Sediment Temperatures, and Groundwater/Surface-Water Exchange in Shoreline Spawning Habitat of Sockeye Salmon (Oncorhynchus nerka) of Lake Ozette, Western Washington","title":"Substrate particle-size distribution, dissolved-oxygen concentrations, sediment temperatures, and groundwater/surface-water exchange in shoreline spawning habitat of sockeye salmon (Oncorhynchus nerka) of Lake Ozette, Western Washington","docAbstract":"

Sockeye salmon (Oncorhynchus nerka) spawn at beaches along Lake Ozette’s shoreline and within its tributary streams including Umbrella Creek and Big River in western Washington. The tributary-spawning aggregate of the Lake Ozette sockeye salmon population has been increasing from very low abundance through hatchery supplementation, but the beach-spawning aggregate has decreased from the early 20th century resulting in an Endangered Species Act listing of the Lake Ozette sockeye salmon population as “Threatened” in 1999. Among several factors inhibiting the recovery of beach spawning sockeye salmon, the quality of spawning habitat in beaches and low dissolved-oxygen concentrations in beach gravels during incubation were identified as important limitations on the recovery of this population. Proliferation of primarily native near-shore vegetation during the 20th century, as a result of alterations in the lake hydroperiod, accompanied by fine-grained sediment deposition was hypothesized as a potential cause of low rates of water circulation and dissolved-oxygen concentrations in beach spawning gravels. The potential for shoreline vegetation removal to restore spawning habitat function, including dissolved-oxygen concentrations, was evaluated in this report by measuring continuous dissolved-oxygen concentrations with data-logging dissolved-oxygen sensors, by measuring particle-size distribution of beach sediment, and by estimating groundwater/surface-water exchange using vertical sediment temperature profiles at three shoreline sampling areas. These sampling areas included an area of current spawning devoid of shoreline vegetation, an adjacent vegetated area, and an adjacent treatment area where a 3-meter-wide swath of existing above-ground vegetation was removed in 2018 prior to the study. Substrate particle-size distributions, dissolved-oxygen concentrations, sediment temperatures, and groundwater/surface-water exchange were compared among the three shoreline sampling areas. Median grain size (D50) of sediment varied at sampling stations from medium sand fine to coarse gravel. The coarsest sediment generally occurred in the current spawning area that was devoid of vegetation; whereas the vegetated shoreline and the shoreline where above-ground vegetation was removed were characterized by finer sediment. Removal of above-ground vegetation resulted in increased D50 at the most shoreward station at the treatment sampling area from 8.2 millimeters in 2018 to 21.6 millimeters in 2019 but other changes in substrate particle-size distribution in the treatment area were negligible. Increased grain size from 2018 to 2019 at this site suggests that while higher wave energy was allowed to mobilize sediment in the backshore area of the treatment area and winnow fine sediment during the winter, residual root structure in the treatment area may have limited the ability of wave energy to mobilize sediment after removal. During the November 2018 to March 2019 incubation period for sockeye salmon, dissolved-oxygen concentrations at the depth of sockeye salmon egg pockets (15–25 centimeters) within all three shoreline sampling areas were less than 1 milligram per liter throughout the deployment time (October 2018—May 2019) and below the threshold to sustain sockeye salmon embryo development (3 milligrams per liter). In addition, the similarity of dissolved-oxygen concentrations among all three shoreline sampling areas indicates that above-ground vegetation removal did not increase subsurface dissolved-oxygen concentrations. Groundwater/surface-water exchange measured from sediment temperature profiles were variable both within and across shoreline sampling areas. At the most lakeward stations, groundwater discharge to the lake ranged from 0.25 to 0.007 meter per day and was highest at the control station and lowest at the vegetated station. However, in general, the differences in groundwater/surface-water exchange across the three shoreline sampling areas were negligible. Collectively, these results suggest the process of removing above-ground vegetation had little effect on subsurface dissolved-oxygen concentrations and groundwater/surface-water exchange during the study period, but limitations of the study design, including retention of below-surface root cohesion after above-ground vegetation removal, too narrow of a band of vegetation removal, and a limited duration of the monitoring period, may have prevented wave energy from winnowing fine-grained sediment along the shoreline and altering subsurface dissolved-oxygen concentrations during the study period. Response of the substrate particle-size distribution, groundwater/surface-water exchange, and subsurface dissolved-oxygen concentrations to shoreline vegetation removal that includes root-zone removal over a larger extent and longer periods than the 7-month study period from October 2018 to May 2019, however, remain unknown and warrant further investigation.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215134","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Gendaszek, A.S., and Sheibley, R.W., 2021, Substrate particle-size distribution, dissolved-oxygen concentrations, sediment temperatures, and groundwater/surface-water exchange in shoreline spawning habitat of sockeye salmon (Oncorhynchus nerka) of Lake Ozette, Western Washington: U.S. Geological Survey Scientific Investigations Report 2021–5134, 21 p., https://doi.org/10.3133/sir20215134.","productDescription":"Report: v, 21 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-126474","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":402991,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20215134/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2021-5134"},{"id":396954,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2021/5134/sir20215134.XML"},{"id":396953,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5134/images"},{"id":393022,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XC9XPR","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Dissolved Oxygen, temperature, particle-size distribution, and groundwater flux in the nearshore of Lake Ozette, WA, October 2018 to May 2019"},{"id":393021,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5134/sir20215134.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021-5134"},{"id":393020,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5134/coverthb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Lake Ozette","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.69001770019531,\n 48.02988662072008\n ],\n [\n -124.58015441894531,\n 48.02988662072008\n ],\n [\n -124.58015441894531,\n 48.1642534885474\n ],\n [\n -124.69001770019531,\n 48.1642534885474\n ],\n [\n -124.69001770019531,\n 48.02988662072008\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402

","tableOfContents":"","publishedDate":"2021-12-16","noUsgsAuthors":false,"publicationDate":"2021-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Gendaszek, Andrew S. 0000-0002-2373-8986 agendasz@usgs.gov","orcid":"https://orcid.org/0000-0002-2373-8986","contributorId":3509,"corporation":false,"usgs":true,"family":"Gendaszek","given":"Andrew","email":"agendasz@usgs.gov","middleInitial":"S.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sheibley, Rich W. 0000-0003-1627-8536 sheibley@usgs.gov","orcid":"https://orcid.org/0000-0003-1627-8536","contributorId":3044,"corporation":false,"usgs":true,"family":"Sheibley","given":"Rich","email":"sheibley@usgs.gov","middleInitial":"W.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828542,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70229382,"text":"70229382 - 2021 - Evaluating hydrophones for detecting underwater-calling frogs","interactions":[],"lastModifiedDate":"2022-03-04T16:28:24.422962","indexId":"70229382","displayToPublicDate":"2021-12-16T10:12:36","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1894,"text":"Herpetological Conservation and Biology","onlineIssn":"2151-0733","printIssn":"1931-7603","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating hydrophones for detecting underwater-calling frogs","docAbstract":"

Amphibians are declining and disappearing worldwide at an alarming rate, emphasizing the need for accurate surveys to document the distribution and abundance of this imperiled taxon. Automated recorders are a powerful tool for surveyors to continuously monitor for calling amphibians. However, we are discovering that many species of frog call when submerged underwater making it challenging if not impossible for terrestrial observers to use microphones to detect them. Here, we conducted two field experiments to assess the efficacy of hydrophones for detecting underwater frog calls. The first was designed to directly compare detection probability of underwear frog calls by hydrophones, microphones, and human observers. The second was to evaluate the wetland characteristics that most influenced the detection distance of hydrophones. We found that hydrophones were 30 times more likely to detect underwater calls relative to microphones and 8.5 times more likely relative to human observers. Hydrophones detected underwater frog calls emitted 65 m away and performed best when water was deep (> 50 cm) and there were few submerged obstacles (i.e. logs) present. Hydrophones may be an important tool for herpetologists to survey for a suite of frog species known to vocalize underwater and as more practitioners use hydrophones the list of underwater-calling frogs is certain to grow.

","language":"English","publisher":"Herpetological Conservation and Biology","usgsCitation":"DeGregorio, B.A., Wolff, P.J., and Rice, A.N., 2021, Evaluating hydrophones for detecting underwater-calling frogs: Herpetological Conservation and Biology, v. 16, no. 3, p. 513-524.","productDescription":"12 p.","startPage":"513","endPage":"524","ipdsId":"IP-124598","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396756,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":396755,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://herpconbio.org/contents_vol16_issue3.html"}],"country":"United States","state":"New York","city":"Ithaca","otherGeospatial":"Sapsucker Woods Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.46716117858887,\n 42.48209897188378\n ],\n [\n -76.46690368652344,\n 42.47640179036158\n ],\n [\n -76.46475791931151,\n 42.47317315724579\n ],\n [\n -76.46458625793457,\n 42.47019760277605\n ],\n [\n -76.46638870239256,\n 42.46715859263035\n ],\n [\n -76.44922256469727,\n 42.467601790799336\n ],\n [\n -76.44381523132324,\n 42.471400503532\n ],\n [\n -76.4304256439209,\n 42.47197029055813\n ],\n [\n -76.43102645874023,\n 42.47766787552756\n ],\n [\n -76.44063949584961,\n 42.48222557002593\n ],\n [\n -76.4439868927002,\n 42.4829851534995\n ],\n [\n -76.44956588745117,\n 42.48304845170603\n ],\n [\n -76.46716117858887,\n 42.48209897188378\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"16","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"DeGregorio, Brett Alexander 0000-0002-5273-049X","orcid":"https://orcid.org/0000-0002-5273-049X","contributorId":243214,"corporation":false,"usgs":true,"family":"DeGregorio","given":"Brett","email":"","middleInitial":"Alexander","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":837235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wolff, Patrick J.","contributorId":287967,"corporation":false,"usgs":false,"family":"Wolff","given":"Patrick","email":"","middleInitial":"J.","affiliations":[{"id":13502,"text":"US Army Corps of Engineers","active":true,"usgs":false}],"preferred":false,"id":837236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rice, Aaron N.","contributorId":204723,"corporation":false,"usgs":false,"family":"Rice","given":"Aaron","email":"","middleInitial":"N.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":837237,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70266382,"text":"70266382 - 2021 - Predicting thermal responses of an Arctic lake to whole-lake warming manipulation","interactions":[],"lastModifiedDate":"2025-05-06T15:02:44.848921","indexId":"70266382","displayToPublicDate":"2021-12-16T00:00:00","publicationYear":"2021","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":"Predicting thermal responses of an Arctic lake to whole-lake warming manipulation","docAbstract":"We investigated how lake thermal processes responded to whole lake warming manipulation in an arctic lake through observations and numerical modeling. The warming manipulation was conducted by artificially heating the epilimnion as a proxy for climate warming. We performed numerical modeling with an improved lake scheme based on the Community Land Model (CLM). We simulated a control run (CTL) without warming and a warming manipulation simulation (WARM). Results indicated WARM accurately captured observed temperatures where water stratification was extended in time, and water stability was strengthened. Two additional sensitivity tests with different warming onset dates and of the same warming duration showed that earlier warming onsets are predicted to make the water column more stable and less easily mixed relative to a later onset of warming. The results provide a more complete understanding of lake thermal processes in arctic freshwater lake systems and how they will respond to predicted future warming.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2021gl092680","collaboration":"Anne Giblin, Byron Crump","usgsCitation":"Zhang, Q., Jin, J., Budy, P., Null, S., Wang, X., and Pennock, C., 2021, Predicting thermal responses of an Arctic lake to whole-lake warming manipulation: Geophysical Research Letters, v. 48, no. 23, e2021GL092680, 10 p., https://doi.org/10.1029/2021gl092680.","productDescription":"e2021GL092680, 10 p.","ipdsId":"IP-127181","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":485449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Toolik Field Station","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -151.2972961040461,\n 69.55756830975835\n ],\n [\n -151.2972961040461,\n 67.43265585446878\n ],\n [\n -144.82092178397554,\n 67.43265585446878\n ],\n [\n -144.82092178397554,\n 69.55756830975835\n ],\n [\n -151.2972961040461,\n 69.55756830975835\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"48","issue":"23","noUsgsAuthors":false,"publicationDate":"2021-12-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhang, Qunhui","contributorId":354518,"corporation":false,"usgs":false,"family":"Zhang","given":"Qunhui","affiliations":[{"id":66237,"text":"College of Resources and Environmental Science, Hunan Normal University, Changsha 410081, China","active":true,"usgs":false}],"preferred":false,"id":935789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jin, Jiming","contributorId":354519,"corporation":false,"usgs":false,"family":"Jin","given":"Jiming","affiliations":[{"id":66237,"text":"College of Resources and Environmental Science, Hunan Normal University, Changsha 410081, China","active":true,"usgs":false}],"preferred":false,"id":935790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Budy, Phaedra E. 0000-0002-9918-1678","orcid":"https://orcid.org/0000-0002-9918-1678","contributorId":228930,"corporation":false,"usgs":true,"family":"Budy","given":"Phaedra E.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":935788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Null, Sarah E.","contributorId":354520,"corporation":false,"usgs":false,"family":"Null","given":"Sarah E.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":935791,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wang, Xiaochun","contributorId":354521,"corporation":false,"usgs":false,"family":"Wang","given":"Xiaochun","affiliations":[{"id":12763,"text":"University of California, Los Angeles","active":true,"usgs":false}],"preferred":false,"id":935792,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pennock, Casey A.","contributorId":354523,"corporation":false,"usgs":false,"family":"Pennock","given":"Casey A.","affiliations":[{"id":28050,"text":"USU","active":true,"usgs":false}],"preferred":false,"id":935793,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226853,"text":"cir1490 - 2021 - Integrated science for the study of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in the environment—A strategic science vision for the U.S. Geological Survey","interactions":[{"subject":{"id":70269818,"text":"ofr20251044 - 2025 - Insights and strategic opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop","indexId":"ofr20251044","publicationYear":"2025","noYear":false,"displayTitle":"Insights and Strategic Opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop","title":"Insights and strategic opportunities from the USGS 2024 Per- and Polyfluoroalkyl Substances (PFAS) Interagency Workshop"},"predicate":"IS_ADDENDUM_TO","object":{"id":70226853,"text":"cir1490 - 2021 - Integrated science for the study of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in the environment—A strategic science vision for the U.S. Geological Survey","indexId":"cir1490","publicationYear":"2021","noYear":false,"title":"Integrated science for the study of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in the environment—A strategic science vision for the U.S. Geological Survey"},"id":1}],"lastModifiedDate":"2021-12-16T12:01:14.312938","indexId":"cir1490","displayToPublicDate":"2021-12-15T14:45:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1490","displayTitle":"Integrated Science for the Study of Perfluoroalkyl and Polyfluoroalkyl Substances (PFAS) in the Environment—A Strategic Science Vision for the U.S. Geological Survey","title":"Integrated science for the study of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in the environment—A strategic science vision for the U.S. Geological Survey","docAbstract":"

Concerns related to perfluoroalkyl and polyfluoroalkyl substances (PFAS) in sources of drinking water and in natural and engineered environments have captured national attention over the last few decades. This report provides an overview of the science gaps that exist in the fields of study related to PFAS that are relevant to the U.S. Geological Survey mission and identifies opportunities where the U.S. Geological Survey can help address these gaps on the basis of the agency’s capabilities and expertise. The integrated science activities envisioned in this document can be designed to address science needs at local, regional, and national scales and varying timeframes as stakeholders are engaged and their needs evolve. This document is intended as an information resource for U.S. Geological Survey scientists who are prioritizing and planning research related to PFAS and may be useful for developing partnerships and collaborations with other scientists, agencies, and stakeholders.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1490","usgsCitation":"Tokranov, A.K., Bradley, P.M., Focazio, M.J., Kent, D.B., LeBlanc, D.R., McCoy, J.W., Smalling, K.L., Steevens, J.A., and Toccalino, P.L., 2021, Integrated science for the study of perfluoroalkyl and polyfluoroalkyl substances (PFAS) in the environment—A strategic science vision for the U.S. Geological Survey: U.S. Geological Survey Circular 1490, 50 p., https://doi.org/10.3133/cir1490.","productDescription":"v, 50 p.","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-120645","costCenters":[{"id":192,"text":"Columbia Environmental Research 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}],"links":[{"id":392952,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1490/coverthb.jpg"},{"id":392953,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1490/cir1490.pdf","text":"Report","size":"5.76 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1490"}],"contact":"

Director, New England Water Science Center
U.S. Geological Survey
10 Bearfoot Road
Northborough, MA 01532

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-12-16","noUsgsAuthors":false,"publicationDate":"2021-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Tokranov, Andrea K. 0000-0003-4811-8641","orcid":"https://orcid.org/0000-0003-4811-8641","contributorId":255483,"corporation":false,"usgs":true,"family":"Tokranov","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bradley, Paul M. 0000-0001-7522-8606 pbradley@usgs.gov","orcid":"https://orcid.org/0000-0001-7522-8606","contributorId":361,"corporation":false,"usgs":true,"family":"Bradley","given":"Paul","email":"pbradley@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Focazio, Michael J. 0000-0003-0967-5576 mfocazio@usgs.gov","orcid":"https://orcid.org/0000-0003-0967-5576","contributorId":1276,"corporation":false,"usgs":true,"family":"Focazio","given":"Michael","email":"mfocazio@usgs.gov","middleInitial":"J.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5056,"text":"Office of the AD Energy and Minerals, and Environmental Health","active":true,"usgs":true}],"preferred":true,"id":828494,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kent, Douglas B. 0000-0003-3758-8322 dbkent@usgs.gov","orcid":"https://orcid.org/0000-0003-3758-8322","contributorId":1871,"corporation":false,"usgs":true,"family":"Kent","given":"Douglas","email":"dbkent@usgs.gov","middleInitial":"B.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":828495,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828496,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McCoy, Jeff W. 0000-0002-9817-6711 jefmccoy@usgs.gov","orcid":"https://orcid.org/0000-0002-9817-6711","contributorId":738,"corporation":false,"usgs":true,"family":"McCoy","given":"Jeff","email":"jefmccoy@usgs.gov","middleInitial":"W.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":828497,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Smalling, Kelly L. 0000-0002-1214-4920 ksmall@usgs.gov","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":190789,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","email":"ksmall@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828498,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Steevens, Jeffery A. 0000-0003-3946-1229","orcid":"https://orcid.org/0000-0003-3946-1229","contributorId":65415,"corporation":false,"usgs":true,"family":"Steevens","given":"Jeffery A.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":828499,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Toccalino, Patricia L. 0000-0003-1066-1702","orcid":"https://orcid.org/0000-0003-1066-1702","contributorId":41089,"corporation":false,"usgs":true,"family":"Toccalino","given":"Patricia L.","affiliations":[{"id":5079,"text":"Pacific Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":828500,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70216088,"text":"70216088 - 2021 - Pelagic forage versus abiotic factors as drivers of walleye growth in northern Wisconsin lakes","interactions":[],"lastModifiedDate":"2025-01-30T16:44:19.576962","indexId":"70216088","displayToPublicDate":"2021-12-15T10:06:47","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":656,"text":"Advances in Limnology","active":true,"publicationSubtype":{"id":10}},"title":"Pelagic forage versus abiotic factors as drivers of walleye growth in northern Wisconsin lakes","docAbstract":"

Understanding ecological relationships among fishes and their environments are important for informing management policies. We conducted a statewide assessment of cisco (Coregonus artedi) in inland lakes of Wisconsin to better understand the status of this pelagic, coldwater forage fish. We then used long-term (2005–2014), standardized walleye (Sander vitreus) survey data from the Ceded Territory of Wisconsin (CTWI) to test for the influence of cisco (present, extirpated, or never present) and several abiotic factors on walleye growth trajectories described using sex-specific asymptotic lengths (L∞), Brody growth coefficients (K), and time in years required to attain common length limits used to manage harvest of walleye in the recreational fishery (381 and 457 mm). Despite being top predators in many north-temperate waters, walleye growth was highly variable among lakes, suggesting that forage base and abiotic factors may be important drivers. Growth characteristics of 160 CTWI walleye populations revealed that females reached greatest L∞ in lakes with cisco compared to those where cisco were never present or those lakes where cisco have been extirpated; however, differences were not statistically significant. Male walleye L∞ did not differ based on cisco presence. Brody growth coefficients (K) for female walleye were positively correlated with growing degree days and Secchi depth; K for males was positively correlated with Secchi depth. Average time to attain 381 and 457 mm were lowest in lakes where cisco have been extirpated. Our results suggest that cooler water temperatures and lower water clarity may be more important drivers of walleye maximum growth potential in northern Wisconsin lakes than the presence of cisco.

","language":"English","publisher":"Schweizerbart Science Publishers","doi":"10.1127/adv_limnol/2021/0061","usgsCitation":"Noring, A.M., Sass, G., Midway, S., VanDeHey, J.A., Raabe, J., Isermann, D.A., Kampa, J., Parks, T., Lyons, J., and Jennings, M.J., 2021, Pelagic forage versus abiotic factors as drivers of walleye growth in northern Wisconsin lakes: Advances in Limnology, v. 66, p. 207-223, https://doi.org/10.1127/adv_limnol/2021/0061.","productDescription":"17 p.","startPage":"207","endPage":"223","ipdsId":"IP-093425","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":400062,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.er.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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University","active":true,"usgs":false}],"preferred":false,"id":804009,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"VanDeHey, Justin A.","contributorId":244468,"corporation":false,"usgs":false,"family":"VanDeHey","given":"Justin","email":"","middleInitial":"A.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":804010,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Raabe, Joshua K.","contributorId":244469,"corporation":false,"usgs":false,"family":"Raabe","given":"Joshua K.","affiliations":[{"id":17717,"text":"University of Wisconsin-Stevens Point","active":true,"usgs":false}],"preferred":false,"id":804011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Isermann, Daniel A. 0000-0003-1151-9097 disermann@usgs.gov","orcid":"https://orcid.org/0000-0003-1151-9097","contributorId":5167,"corporation":false,"usgs":true,"family":"Isermann","given":"Daniel","email":"disermann@usgs.gov","middleInitial":"A.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":804006,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kampa, Jeffrey M.","contributorId":244470,"corporation":false,"usgs":false,"family":"Kampa","given":"Jeffrey M.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":804012,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Parks, Timothy P.","contributorId":244471,"corporation":false,"usgs":false,"family":"Parks","given":"Timothy P.","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":804013,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lyons, John","contributorId":244472,"corporation":false,"usgs":false,"family":"Lyons","given":"John","affiliations":[{"id":16117,"text":"Wisconsin DNR","active":true,"usgs":false}],"preferred":false,"id":804014,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Jennings, Martin J.","contributorId":244473,"corporation":false,"usgs":false,"family":"Jennings","given":"Martin","email":"","middleInitial":"J.","affiliations":[{"id":34923,"text":"Minnesota DNR","active":true,"usgs":false}],"preferred":false,"id":804015,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70227003,"text":"70227003 - 2021 - Export of pelagic fish larvae from a large Great Lakes connecting channel","interactions":[],"lastModifiedDate":"2021-12-27T14:42:49.822798","indexId":"70227003","displayToPublicDate":"2021-12-15T08:37:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":656,"text":"Advances in Limnology","active":true,"publicationSubtype":{"id":10}},"title":"Export of pelagic fish larvae from a large Great Lakes connecting channel","docAbstract":"

The St. Clair-Detroit River System is located in the heart of the North American Laurentian Great Lakes, connecting lakes Huron and Erie, contributing over 90% of the inflow to Lake Erie, and providing spawning habitat for many fishes including walleye (Sander vitreus), yellow perch (Perca flavescens), and lake whitefish (Coregonus clupeaformis). Dredging and channelization have greatly altered the Detroit River thereby reducing available spawning habitat and redirecting a majority of river discharge through deep canal-like channels to offshore areas of western Lake Erie at high velocities. Fish reproduction has been measured in the Detroit River using larval surveys for over 10 years. However, quantitative estimates of contributions from spawning in the system to Lake Erie fish populations have not been determined. We use long-term biological sampling and physical habitat surveys to characterize larval drift patterns and a Bayesian approach to quantify larval export from the Detroit River. Larval export from the Detroit River into Lake Erie varied by species, across years (2006–2015), and spatially among the multiple navigational channels in the lower Detroit River. Total annual export of walleye larvae ranged from 12 million in 2013 to 114 million in 2014, yellow perch larvae ranged from 319 million in 2014 to 690 million in 2013, and lake whitefish larvae ranged from 29 million in 2010 to 84 million in 2011. Given the widespread spawning, large numbers of larvae produced, and continued system-wide water quality and aquatic habitat improvements, the Detroit River provides valuable habitat and added resilience to Lake Erie fisheries despite suffering from severe anthropogenic disturbances.

","language":"English","publisher":"Schweizerbart Science","doi":"10.1127/adv_limnol/2021/0060","usgsCitation":"Roseman, E., DuFour, M., Pritt, J., Fischer, J., DeBruyne, R., and Bennion, D., 2021, Export of pelagic fish larvae from a large Great Lakes connecting channel: Advances in Limnology, v. 66, 19 p., https://doi.org/10.1127/adv_limnol/2021/0060.","productDescription":"19 p.","ipdsId":"IP-091146","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":393416,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Michigan, Ontario","otherGeospatial":"St. Clair-Detroit River system","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.276611328125,\n 43.02472955416351\n ],\n [\n -82.5347900390625,\n 43.052833917627936\n ],\n [\n -83.1170654296875,\n 42.549033612225145\n ],\n [\n -83.5015869140625,\n 42.08599350447723\n ],\n [\n -83.33129882812499,\n 41.93088998442502\n ],\n [\n -83.045654296875,\n 42.10637370579324\n ],\n [\n -82.496337890625,\n 42.28950073090457\n ],\n [\n -82.298583984375,\n 42.382894009614034\n ],\n [\n -82.386474609375,\n 42.48830197960227\n ],\n [\n -82.276611328125,\n 43.02472955416351\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"66","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Roseman, Edward F. 0000-0002-5315-9838","orcid":"https://orcid.org/0000-0002-5315-9838","contributorId":217909,"corporation":false,"usgs":true,"family":"Roseman","given":"Edward F.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":829143,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DuFour, Mark","contributorId":270359,"corporation":false,"usgs":false,"family":"DuFour","given":"Mark","affiliations":[{"id":6601,"text":"Michigan State University","active":true,"usgs":false}],"preferred":false,"id":829144,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pritt, Jeremy 0000-0002-7120-9800 jpritt@usgs.gov","orcid":"https://orcid.org/0000-0002-7120-9800","contributorId":270360,"corporation":false,"usgs":false,"family":"Pritt","given":"Jeremy","email":"jpritt@usgs.gov","affiliations":[{"id":13589,"text":"Ohio DNR","active":true,"usgs":false}],"preferred":false,"id":829145,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fischer, J. 0000-0001-7226-6500","orcid":"https://orcid.org/0000-0001-7226-6500","contributorId":240599,"corporation":false,"usgs":false,"family":"Fischer","given":"J.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":829146,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"DeBruyne, Robin 0000-0002-9232-7937","orcid":"https://orcid.org/0000-0002-9232-7937","contributorId":240598,"corporation":false,"usgs":false,"family":"DeBruyne","given":"Robin","affiliations":[{"id":48111,"text":"Univ. Toledo","active":true,"usgs":false}],"preferred":false,"id":829147,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bennion, David 0000-0003-4927-4195 dbennion@usgs.gov","orcid":"https://orcid.org/0000-0003-4927-4195","contributorId":149533,"corporation":false,"usgs":true,"family":"Bennion","given":"David","email":"dbennion@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":829148,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70230949,"text":"70230949 - 2021 - How well do we know Europa’s topography? An evaluation of the variability in digital terrain models of Europa.","interactions":[],"lastModifiedDate":"2022-04-29T12:14:14.148908","indexId":"70230949","displayToPublicDate":"2021-12-15T07:12:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"How well do we know Europa’s topography? An evaluation of the variability in digital terrain models of Europa.","docAbstract":"
Jupiter’s moon Europa harbors one of the most likely environments for extant extraterrestrial life. Determining whether Europa is truly habitable requires understanding the structure and thickness of its ice shell, including the existence of perched water or brines. Stereo-derived topography from images acquired by NASA Galileo’s Solid State Imager (SSI) of Europa are often used as a constraint on ice shell structure and heat flow, but the uncertainty in such topography has, to date, not been rigorously assessed. To evaluate the current uncertainty in Europa’s topography we generated and compared digital terrain models (DTMs) of Europa from SSI images using both the open-source Ames Stereo Pipeline (ASP) software and the commercial SOCET SET® software. After first describing the criteria for assessing stereo quality in detail, we qualitatively and quantitatively describe both the horizontal resolution and vertical precision of the DTMs. We find that the horizontal resolution of the SOCET SET® DTMs is typically 8–11× the root mean square (RMS) pixel scale of the images, whereas the resolution of the ASP DTMs is 9–13× the maximum pixel scale of the images. We calculate the RMS difference between the ASP and SOCET SET® DTMs as a proxy for the expected vertical precision (EP), which is a function of the matching accuracy and stereo geometry. We consistently find that the matching accuracy is ~0.5 pixels, which is larger than well-established “rules of thumb” that state that the matching accuracy is 0.2–0.3 pixels. The true EP is therefore ~1.7× larger than might otherwise be assumed. In most cases, DTM errors are approximately normally distributed, and errors that are several times the derived EP occur as expected. However, in two DTMs, larger errors (differences) occur and correlate with real topography. These differences primarily result from manual editing of the SOCET SET® DTMs. The product of the DTM error and the resolution is typically 4–8 pixel2 if calculated using the RMS image scale for SOCET SET® DTMs and the maximum images scale for the ASP DTMs, which is consistent with recent work using martian data sets and suggests that the relationship applies more broadly. We evaluate how ASP parameters affect DTM quality and find that using a smaller subpixel refinement kernel results in DTMs with smaller (better) resolution but, in some cases, larger gaps, which are sometimes reduced by increasing the size of the correlation kernel. We conclude that users of ASP should always systematically evaluate the choice of parameters for a given dataset.
","language":"English","publisher":"MDPI","doi":"10.3390/rs13245097","usgsCitation":"Bland, M.T., Kirk, R.L., Galuszka, D.M., Mayer, D., Beyer, R.A., and Fergason, R.L., 2021, How well do we know Europa’s topography? An evaluation of the variability in digital terrain models of Europa.: Remote Sensing, v. 13, no. 24, 5097, 49 p., https://doi.org/10.3390/rs13245097.","productDescription":"5097, 49 p.","ipdsId":"IP-134770","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":450025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs13245097","text":"Publisher Index Page"},{"id":399885,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"24","noUsgsAuthors":false,"publicationDate":"2021-12-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Bland, Michael T. 0000-0001-5543-1519 mbland@usgs.gov","orcid":"https://orcid.org/0000-0001-5543-1519","contributorId":146287,"corporation":false,"usgs":true,"family":"Bland","given":"Michael","email":"mbland@usgs.gov","middleInitial":"T.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":841694,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirk, Randolph L. 0000-0003-0842-9226 rkirk@usgs.gov","orcid":"https://orcid.org/0000-0003-0842-9226","contributorId":2765,"corporation":false,"usgs":true,"family":"Kirk","given":"Randolph","email":"rkirk@usgs.gov","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":841695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Galuszka, Donna M. 0000-0003-1870-1182 dgaluszka@usgs.gov","orcid":"https://orcid.org/0000-0003-1870-1182","contributorId":3186,"corporation":false,"usgs":true,"family":"Galuszka","given":"Donna","email":"dgaluszka@usgs.gov","middleInitial":"M.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":841696,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mayer, David 0000-0001-8351-1807","orcid":"https://orcid.org/0000-0001-8351-1807","contributorId":215429,"corporation":false,"usgs":true,"family":"Mayer","given":"David","email":"","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":841697,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beyer, R. A.","contributorId":290737,"corporation":false,"usgs":false,"family":"Beyer","given":"R.","email":"","middleInitial":"A.","affiliations":[{"id":37319,"text":"SETI Institute","active":true,"usgs":false}],"preferred":false,"id":841698,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fergason, Robin L. 0000-0002-2044-1714","orcid":"https://orcid.org/0000-0002-2044-1714","contributorId":206167,"corporation":false,"usgs":true,"family":"Fergason","given":"Robin","email":"","middleInitial":"L.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":841699,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70195667,"text":"sir20175013v2 - 2021 - The HayWired earthquake scenario—Engineering implications","interactions":[{"subject":{"id":70195667,"text":"sir20175013v2 - 2021 - The HayWired earthquake scenario—Engineering implications","indexId":"sir20175013v2","publicationYear":"2021","noYear":false,"chapter":"I–Q","displayTitle":"The HayWired Earthquake Scenario—Engineering Implications","title":"The HayWired earthquake scenario—Engineering implications"},"predicate":"IS_PART_OF","object":{"id":70187004,"text":"sir20175013 - 2017 - The HayWired Earthquake Scenario","indexId":"sir20175013","publicationYear":"2017","noYear":false,"title":"The HayWired Earthquake Scenario"},"id":1}],"isPartOf":{"id":70187004,"text":"sir20175013 - 2017 - The HayWired Earthquake Scenario","indexId":"sir20175013","publicationYear":"2017","noYear":false,"title":"The HayWired Earthquake Scenario"},"lastModifiedDate":"2022-04-04T11:06:30.831971","indexId":"sir20175013v2","displayToPublicDate":"2021-12-14T15:01:57","publicationYear":"2021","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":"2017-5013","chapter":"I–Q","displayTitle":"The HayWired Earthquake Scenario—Engineering Implications","title":"The HayWired earthquake scenario—Engineering implications","docAbstract":"

The HayWired Earthquake Scenario—Engineering Implications is the second volume of U.S. Geological Survey (USGS) Scientific Investigations Report 2017–5013, which describes the HayWired scenario, developed by USGS and its partners. The scenario is a hypothetical yet scientifically realistic earthquake sequence that is being used to better understand hazards for the San Francisco Bay region during and after a magnitude-7 earthquake (mainshock) on the Hayward Fault and its aftershocks.

Analyses in this volume suggest that (1) 800 deaths and 16,000 nonfatal injuries result from shaking alone, plus property and direct business interruption losses of more than $82 billion from shaking, liquefaction, and landslides; (2) the building code is designed to protect lives, but even if all buildings in the region complied with current building codes, 0.4 percent could collapse, 5 percent could be unsafe to occupy, and 19 percent could have restricted use; (3) people expect, prefer, and would be willing to pay for greater resilience of buildings; (4) more than 22,000 people could require extrication from stalled elevators, and more than 2,400 people could require rescue from collapsed buildings; (5) the average east-bay resident could lose water service for 6 weeks, some for as long as 6 months; (6) older steel-frame high-rise office buildings and new reinforced-concrete residential buildings in downtown San Francisco and Oakland could be unusable for as long as 10 months; (7) about 450 large fires could result in a loss of residential and commercial building floor area equivalent to more than 52,000 single-family homes and cause property (building and content) losses approaching $30 billion; and (8) combining earthquake early warning (ShakeAlert) with “drop, cover, and hold on” actions could prevent as many as 1,500 nonfatal injuries out of 18,000 total estimated nonfatal injuries from shaking and liquefaction hazards.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175013v2","usgsCitation":"Detweiler, S.T., and Wein, A.M., eds., 2018, The HayWired earthquake scenario—Engineering implications (ver. 1.1, April 2022): U.S. Geological Survey Scientific Investigations Report 2017–5013–I–Q, 429 p., https://doi.org/10.3133/sir20175013v2.","productDescription":"xviii, 429 p.","numberOfPages":"229","onlineOnly":"Y","ipdsId":"IP-064538","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":396055,"rank":7,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2017/5013/sir20175013_iq.pdf","text":"Report","size":"200 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2017-5013 Chapters I to Q"},{"id":392924,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20213054","text":"Fact Sheet 2021-3054","linkHelpText":"– The HayWired Earthquake Scenario—Societal Consequences"},{"id":392923,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/fs20183016","text":"Fact Sheet 2018-3016","linkHelpText":"– The HayWired Earthquake Scenario—We Can Outsmart Disaster"},{"id":392922,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175013V3","text":"Scientific Investigations Report 2017-5013 Volume 3","linkHelpText":"– The HayWired Earthquake Scenario—Societal Consequences"},{"id":392921,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175013v1","text":"Scientific Investigations Report 2017-5013 Volume 1","linkHelpText":"– The HayWired Earthquake Scenario—Earthquake Hazards"},{"id":397990,"rank":8,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2017/5013/versionHist_iq.txt"},{"id":392918,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2017/5013/coverthbiq2.jpg"},{"id":392920,"rank":2,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/sir20175013","text":"Scientific Investigations Report 2017-5013","linkHelpText":"– The HayWired Earthquake Scenario"}],"edition":"Version 1.1: April 2022; Version 1.0: April 2018","contact":"

Contact Information, Menlo Park, Calif.
Office—Earthquake Science Center
U.S. Geological Survey
345 Middlefield Road, MS 977
Menlo Park, CA 94025

","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2018-04-18","revisedDate":"2022-04-01","noUsgsAuthors":false,"publicationDate":"2018-04-18","publicationStatus":"PW","scienceBaseUri":"5afee6dae4b0da30c1bfbea8","contributors":{"editors":[{"text":"Detweiler, Shane T. 0000-0001-5699-011X shane@usgs.gov","orcid":"https://orcid.org/0000-0001-5699-011X","contributorId":680,"corporation":false,"usgs":true,"family":"Detweiler","given":"Shane","email":"shane@usgs.gov","middleInitial":"T.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":810134,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Wein, Anne M. 0000-0002-5516-3697 awein@usgs.gov","orcid":"https://orcid.org/0000-0002-5516-3697","contributorId":192951,"corporation":false,"usgs":true,"family":"Wein","given":"Anne","email":"awein@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":828420,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}} ,{"id":70252833,"text":"70252833 - 2021 - Lampricide bioavailability and toxicity to invasive sea lamprey and non-target fishes: The importance of alkalinity, pH, and the gill microenvironment","interactions":[],"lastModifiedDate":"2024-04-09T11:41:36.038101","indexId":"70252833","displayToPublicDate":"2021-12-13T06:40:07","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Lampricide bioavailability and toxicity to invasive sea lamprey and non-target fishes: The importance of alkalinity, pH, and the gill microenvironment","docAbstract":"

The lampricides TFM and niclosamide are added to streams to control invasive larval sea lamprey (Petromyzon marinus) populations in the Laurentian Great Lakes. Lampricide effectiveness depends upon TFM and niclosamide bioavailability which is influenced by both abiotic and biotic factors. For example, at lower pH, TFM bioavailability is higher because a greater proportion exists as un-ionized TFM (TFM-OH), which easily crosses the gills. At higher pH, however, the negatively charged ionized species of TFM (TFM-O−) predominates, which is less easily taken-up, meaning more TFM must be applied. Although water alkalinity does not directly affect TFM speciation, as a buffer it influences how much expired water crossing the gills is acidified by CO2 and metabolic acid excretion. In poorly buffered waters, greater acidification of the expired water increases TFM bioavailability in the gill microenvironment than in better buffered, higher alkalinity waters where more TFM must be applied. Hence, sea lamprey and non-target fishes such as lake sturgeon (Acipenser fulvescens) are more sensitive to lampricides in low pH, low alkalinity waters. Differences in gill structure and microenvironment acidification might also explain why TFM sensitivity of young-of-the-year lake sturgeon approaches or exceeds that of sea lamprey in higher alkalinity waters. Other biotic factors such as body size and metabolic rate also contribute to differences in lampricide sensitivity. We conclude that better understanding of the abiotic and biotic factors influencing lampricide bioavailability can be used to refine treatment protocols to improve lampricide effectiveness and to better protect non-target fishes from lampricide toxicity.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2021.09.005","usgsCitation":"Wilkie, M., Tessier, L., Boogaard, M.A., O’Connor, L.M., Birceanu, O., Steeves, T.B., and Sullivan, P., 2021, Lampricide bioavailability and toxicity to invasive sea lamprey and non-target fishes: The importance of alkalinity, pH, and the gill microenvironment: Journal of Great Lakes Research, v. 47, no. 1, p. S407-S420, https://doi.org/10.1016/j.jglr.2021.09.005.","productDescription":"14 p.","startPage":"S407","endPage":"S420","ipdsId":"IP-121461","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":450036,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2021.09.005","text":"Publisher Index Page"},{"id":427611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"47","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilkie, Michael","contributorId":215419,"corporation":false,"usgs":false,"family":"Wilkie","given":"Michael","email":"","affiliations":[{"id":34255,"text":"Wilfred Laurier University","active":true,"usgs":false}],"preferred":false,"id":898387,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tessier, Laura","contributorId":335463,"corporation":false,"usgs":false,"family":"Tessier","given":"Laura","email":"","affiliations":[{"id":34255,"text":"Wilfred Laurier University","active":true,"usgs":false}],"preferred":false,"id":898388,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Boogaard, Michael A. 0000-0002-5192-8437 mboogaard@usgs.gov","orcid":"https://orcid.org/0000-0002-5192-8437","contributorId":865,"corporation":false,"usgs":true,"family":"Boogaard","given":"Michael","email":"mboogaard@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":898389,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"O’Connor, Lisa M.","contributorId":173132,"corporation":false,"usgs":false,"family":"O’Connor","given":"Lisa","email":"","middleInitial":"M.","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":898390,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Birceanu, Oana","contributorId":215421,"corporation":false,"usgs":false,"family":"Birceanu","given":"Oana","email":"","affiliations":[{"id":34255,"text":"Wilfred Laurier University","active":true,"usgs":false}],"preferred":false,"id":898391,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Steeves, Todd B.","contributorId":126761,"corporation":false,"usgs":false,"family":"Steeves","given":"Todd","email":"","middleInitial":"B.","affiliations":[{"id":6598,"text":"Department of Fisheries and Oceans, Canada, Sea Lamprey Control Centre","active":true,"usgs":false}],"preferred":false,"id":898392,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sullivan, Paul","contributorId":141103,"corporation":false,"usgs":false,"family":"Sullivan","given":"Paul","email":"","affiliations":[{"id":13677,"text":"Fisheries and Oceans Canada","active":true,"usgs":false}],"preferred":false,"id":898393,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70227477,"text":"70227477 - 2021 - Juvenile African clawed frogs (Xenopus laevis) express growth, metamorphosis, mortality, gene expression, and metabolic changes when exposed to thiamethoxam and clothianidin","interactions":[],"lastModifiedDate":"2023-06-09T13:57:17.008199","indexId":"70227477","displayToPublicDate":"2021-12-10T06:59:55","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2059,"text":"International Journal of Molecular Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Juvenile African clawed frogs (Xenopus laevis) express growth, metamorphosis, mortality, gene expression, and metabolic changes when exposed to thiamethoxam and clothianidin","docAbstract":"
Neonicotinoids (NEO) represent the main class of insecticides currently in use, with thiamethoxam (THX) and clothianidin (CLO) primarily applied agriculturally. With few comprehensive studies having been performed with non-target amphibians, the aim was to investigate potential biomarker responses along an adverse outcome pathway of NEO exposure, whereby data were collected on multiple biological hierarchies. Juvenile African clawed frogs, Xenopus laevis, were exposed to commercial formulations of THX and CLO at high (100 ppm) and low (20 ppm) concentrations of the active ingredient. Mortality, growth, development, liver metabolic enzyme activity, and gene expression endpoints were quantified. Tadpoles (n > 1000) from NF 47 through tail resorption stage (NF 66) were exposed to NEO or to NEO-free media treatments. Liver cell reductase activity and cytotoxicity were quantified by flow cytometry. Compared to control reference gene expressions, levels of expression for NEO receptor subunits, cell structure, function, and decontamination processes were measured by RT-qPCR by using liver and brain. Mortality in THX high was 21.5% compared to the control (9.1%); the metabolic conversion of THX to CLO may explain these results. The NF 57 control tadpoles were heavier, longer, and more developed than the others. The progression of development from NF 57–66 was reduced by THX low, and weight gain was impaired. Liver reductases were highest in the control (84.1%), with low NEO exhibiting the greatest reductions; the greatest cytotoxicity was seen with THX high. More transcriptional activity was noted in brains than in livers. Results affirm the utility of a study approach that considers multiple complexities in ecotoxicological studies with non-target amphibians, underscoring the need for simultaneously considering NEO concentration-response relationships with both whole-organism and biomarker endpoints.
","language":"English","publisher":"MDPI","doi":"10.3390/ijms222413291","usgsCitation":"Jenkins, J., Hartop, K.R., Bukhari, G., Howton, D.E., Smalling, K., Mize, S., Hladik, M.L., Johnson, D., Dale, R., and Brown, B.L., 2021, Juvenile African clawed frogs (Xenopus laevis) express growth, metamorphosis, mortality, gene expression, and metabolic changes when exposed to thiamethoxam and clothianidin: International Journal of Molecular Sciences, v. 22, no. 24, 13291, 25 p.; Data Release, https://doi.org/10.3390/ijms222413291.","productDescription":"13291, 25 p.; Data Release","ipdsId":"IP-089089","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":450048,"rank":4,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/ijms222413291","text":"Publisher Index Page"},{"id":436097,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9KW3G2G","text":"USGS data release","linkHelpText":"Gene expression and liver cell metabolism from Xenopus laevis tadpoles exposed to neonicotinoids"},{"id":394504,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":417875,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P97PROVJ"}],"volume":"22","issue":"24","noUsgsAuthors":false,"publicationDate":"2021-12-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Jenkins, Jill 0000-0002-5087-0894","orcid":"https://orcid.org/0000-0002-5087-0894","contributorId":222865,"corporation":false,"usgs":true,"family":"Jenkins","given":"Jill","email":"","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":831112,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hartop, Katherine R.","contributorId":271187,"corporation":false,"usgs":false,"family":"Hartop","given":"Katherine","email":"","middleInitial":"R.","affiliations":[{"id":38728,"text":"Virginia Commonwealth University","active":true,"usgs":false}],"preferred":false,"id":831113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bukhari, Ghadeer","contributorId":271188,"corporation":false,"usgs":false,"family":"Bukhari","given":"Ghadeer","email":"","affiliations":[{"id":38728,"text":"Virginia Commonwealth University","active":true,"usgs":false}],"preferred":false,"id":831114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Howton, Debra E.","contributorId":271189,"corporation":false,"usgs":false,"family":"Howton","given":"Debra","email":"","middleInitial":"E.","affiliations":[{"id":38728,"text":"Virginia Commonwealth University","active":true,"usgs":false}],"preferred":false,"id":831115,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smalling, Kelly L. 0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":214623,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831116,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mize, Scott 0000-0001-6751-5568","orcid":"https://orcid.org/0000-0001-6751-5568","contributorId":218508,"corporation":false,"usgs":true,"family":"Mize","given":"Scott","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831117,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":203857,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":831118,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Johnson, Darren 0000-0002-0502-6045","orcid":"https://orcid.org/0000-0002-0502-6045","contributorId":203921,"corporation":false,"usgs":true,"family":"Johnson","given":"Darren","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":831119,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Dale, Rassa 0000-0001-8532-3287","orcid":"https://orcid.org/0000-0001-8532-3287","contributorId":222867,"corporation":false,"usgs":true,"family":"Dale","given":"Rassa","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":831120,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Brown, Bonnie L.","contributorId":23083,"corporation":false,"usgs":false,"family":"Brown","given":"Bonnie","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":831121,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70227327,"text":"70227327 - 2021 - Dam removal and river restoration","interactions":[],"lastModifiedDate":"2022-01-10T14:39:37.546875","indexId":"70227327","displayToPublicDate":"2021-12-09T08:38:25","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Dam removal and river restoration","docAbstract":"

The removal of dams from rivers has become a common and widespread practice in the United States and Europe. Although often initiated by factors like economics and safety, ecosystem restoration is often a desired benefit and outcome of dam removal. We describe the physical and ecological effects that the placement and removal of dams have on rivers. We then focus on the drivers of dam removal, present considerations for undertaking a dam removal project, and discuss case-studies and recent syntheses describing the ecological outcomes of dam removal.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Inland Waters","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-819166-8.00101-8","usgsCitation":"Duda, J.J., and Bellmore, J.R., 2021, Dam removal and river restoration, chap. of Encyclopedia of Inland Waters, HTML Document, https://doi.org/10.1016/B978-0-12-819166-8.00101-8.","productDescription":"HTML Document","ipdsId":"IP-126235","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":394100,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Duda, Jeffrey J. 0000-0001-7431-8634 jduda@usgs.gov","orcid":"https://orcid.org/0000-0001-7431-8634","contributorId":148954,"corporation":false,"usgs":true,"family":"Duda","given":"Jeffrey","email":"jduda@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":830478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bellmore, J. Ryan","contributorId":271034,"corporation":false,"usgs":false,"family":"Bellmore","given":"J.","email":"","middleInitial":"Ryan","affiliations":[{"id":56260,"text":"U.S. Forest Service, Pacific Northwest Research Station, 11175 Auke Lake Way, Juneau, Alaska, 99801","active":true,"usgs":false}],"preferred":false,"id":830479,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70241613,"text":"70241613 - 2021 - Subsurface temperature properties for three types of permeable pavements in cold weather climates and implications for deicer reduction","interactions":[],"lastModifiedDate":"2023-03-24T12:29:30.894323","indexId":"70241613","displayToPublicDate":"2021-12-09T07:23:08","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3709,"text":"Water","active":true,"publicationSubtype":{"id":10}},"title":"Subsurface temperature properties for three types of permeable pavements in cold weather climates and implications for deicer reduction","docAbstract":"
Permeable pavement has been shown to be an effective urban stormwater management tool although much is still unknown about freeze-thaw responses and the implications for deicer reduction in cold weather climates. Temperature data from the subsurface of three permeable pavement types—interlocking concrete pavers (PICP), concrete (PC), and asphalt (PA)—were collected over a seven-year period and evaluated. Temperature profiles of all pavements indicate favorable conditions to allow infiltration during winter rain and melting events, with subsurface temperatures remaining above freezing even when air temperatures were below freezing. Data show that PICP surpassed PC and PA with fewer days below freezing, higher temperatures on melt days, slower freeze and faster thaw times, and less penetration of freezing temperatures at depth.
","language":"English","publisher":"MDPI","doi":"10.3390/w13243513","usgsCitation":"Danz, M., Buer, N., and Selbig, W.R., 2021, Subsurface temperature properties for three types of permeable pavements in cold weather climates and implications for deicer reduction: Water, v. 13, no. 24, 3513, 13 p., https://doi.org/10.3390/w13243513.","productDescription":"3513, 13 p.","ipdsId":"IP-134292","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":450054,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/w13243513","text":"Publisher Index Page"},{"id":436098,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P990TUBF","text":"USGS data release","linkHelpText":"Cold-weather air and subsurface temperature profiles of three different permeable pavements, Madison, Wisconsin, between 2014 and 2021"},{"id":414694,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"24","noUsgsAuthors":false,"publicationDate":"2021-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Danz, Mari 0000-0002-4716-0170 medanz@usgs.gov","orcid":"https://orcid.org/0000-0002-4716-0170","contributorId":219227,"corporation":false,"usgs":true,"family":"Danz","given":"Mari","email":"medanz@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":867492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buer, Nicolas 0000-0002-4369-8715","orcid":"https://orcid.org/0000-0002-4369-8715","contributorId":204808,"corporation":false,"usgs":true,"family":"Buer","given":"Nicolas","email":"","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true},{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":867493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Selbig, William R. 0000-0003-1403-8280 wrselbig@usgs.gov","orcid":"https://orcid.org/0000-0003-1403-8280","contributorId":877,"corporation":false,"usgs":true,"family":"Selbig","given":"William","email":"wrselbig@usgs.gov","middleInitial":"R.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":867494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70226782,"text":"70226782 - 2021 - Subsurface swimming and stationary diving are metabolically cheap in adult Pacific walruses (Odobenus rosmarus divergens)","interactions":[],"lastModifiedDate":"2021-12-13T12:49:29.699464","indexId":"70226782","displayToPublicDate":"2021-12-09T06:48:11","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2275,"text":"Journal of Experimental Biology","active":true,"publicationSubtype":{"id":10}},"title":"Subsurface swimming and stationary diving are metabolically cheap in adult Pacific walruses (Odobenus rosmarus divergens)","docAbstract":"

Walruses rely on sea-ice to efficiently forage and rest between diving bouts while maintaining proximity to prime foraging habitat. Recent declines in summer sea ice have resulted in walruses hauling out on land where they have to travel farther to access productive benthic habitat while potentially increasing energetic costs. Despite the need to better understand the impact of sea ice loss on energy expenditure, knowledge about metabolic demands of specific behaviours in walruses is scarce. In the present study, 3 adult female Pacific walruses (Odobenus rosmarus divergens) housed in professional care participated in flow-through respirometry trials to measure metabolic rates while floating inactive at the water surface during a minimum of 5 min, during a 180 s stationary dive, and while swimming ∼90 m horizontally underwater. Metabolic rates during stationary dives (3.82±0.56 l O2 min−1) were lower than those measured at the water surface (4.64±1.04 l O2 min−1), which did not differ from rates measured during subsurface swimming (4.91±0.77 l O2 min−1). Thus, neither stationary diving nor subsurface swimming resulted in metabolic rates above those exhibited by walruses at the water surface. These results suggest that walruses minimize their energetic investment during underwater behaviours as reported for other marine mammals. Although environmental factors experienced by free-ranging walruses (e.g. winds or currents) likely affect metabolic rates, our results provide important information for understanding how behavioural changes affect energetic costs and can be used to improve bioenergetics models aimed at predicting the metabolic consequences of climate change on walruses.

","language":"English","publisher":"The Company of Biologists","doi":"10.1242/jeb.242993","usgsCitation":"Borque-Espinosa, A., Rode, K.D., Ferrero-Fernandex, D., Forte, A., Capaccioni-Azzati, R., and Fahlman, A., 2021, Subsurface swimming and stationary diving are metabolically cheap in adult Pacific walruses (Odobenus rosmarus divergens): Journal of Experimental Biology, v. 224, no. 23, jeb242993, https://doi.org/10.1242/jeb.242993.","productDescription":"jeb242993","ipdsId":"IP-129635","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":450061,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1242/jeb.242993","text":"Publisher Index Page"},{"id":436101,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9UQVFSW","text":"USGS data release","linkHelpText":"Metabolic Rates Measured in Three Captive Adult Female Walruses (Odobenus rosmarus divergens) While Resting and Diving"},{"id":392781,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"224","issue":"23","noUsgsAuthors":false,"publicationDate":"2021-12-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Borque-Espinosa, Alicia","contributorId":269982,"corporation":false,"usgs":false,"family":"Borque-Espinosa","given":"Alicia","email":"","affiliations":[{"id":56054,"text":"Universitat de Valencia","active":true,"usgs":false}],"preferred":false,"id":828233,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":828234,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferrero-Fernandex, Diana","contributorId":269983,"corporation":false,"usgs":false,"family":"Ferrero-Fernandex","given":"Diana","email":"","affiliations":[{"id":56055,"text":"Avanqua Oceanografic","active":true,"usgs":false}],"preferred":false,"id":828235,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forte, Anabel","contributorId":269984,"corporation":false,"usgs":false,"family":"Forte","given":"Anabel","email":"","affiliations":[{"id":56054,"text":"Universitat de Valencia","active":true,"usgs":false}],"preferred":false,"id":828236,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Capaccioni-Azzati, Romana","contributorId":269985,"corporation":false,"usgs":false,"family":"Capaccioni-Azzati","given":"Romana","email":"","affiliations":[{"id":56054,"text":"Universitat de Valencia","active":true,"usgs":false}],"preferred":false,"id":828237,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fahlman, Andreas","contributorId":269986,"corporation":false,"usgs":false,"family":"Fahlman","given":"Andreas","email":"","affiliations":[{"id":56058,"text":"Fundacion Oceanografic de la Comunitat Valenciana","active":true,"usgs":false}],"preferred":false,"id":828238,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70249332,"text":"70249332 - 2021 - Land use change and climate-smart agriculture in the Sahel","interactions":[],"lastModifiedDate":"2023-10-04T23:05:51.894883","indexId":"70249332","displayToPublicDate":"2021-12-08T17:53:12","publicationYear":"2021","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"11","title":"Land use change and climate-smart agriculture in the Sahel","docAbstract":"

In the 1970s and 1980s, the Sahel experienced recurrent drought and famine. Farmers and their development partners reacted to this crisis by developing climate-smart agricultural practices and changes in land use, including water-harvesting techniques to restore degraded land to productivity. In several densely populated parts of the Sahel, farmers began to protect and manage woody species that regenerated naturally on their farmland. Farmer-managed natural regeneration (FMNR) is a foundational practice that produces multiple benefits, such as maintaining or improving soil fertility, which raises crop yields, and increasing the production of tree-based fodder, fruit, and firewood. In Niger’s Maradi and Zinder Regions alone, farmers have applied FMNR practices on 4.2 million hectares. The findings presented in this chapter suggest that the future of agriculture in the Sahel will be largely determined by whether low-income smallholder farmers will manage to improve soil fertility, which will depend on maintaining substantial densities of on-farm trees thus increasing tree cover.

","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"The Oxford handbook of the African Sahel","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Oxford Academic Press","doi":"10.1093/oxfordhb/9780198816959.013.12","usgsCitation":"Cotillon, S., Tappan, G.G., and Reij, C., 2021, Land use change and climate-smart agriculture in the Sahel, chap. 11 of The Oxford handbook of the African Sahel, v. 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(Contractor) 0000-0003-3103-8944","orcid":"https://orcid.org/0000-0003-3103-8944","contributorId":330526,"corporation":false,"usgs":false,"family":"Cotillon","given":"Suzanne E. (Contractor)","affiliations":[{"id":38700,"text":"SGT Inc.","active":true,"usgs":false}],"preferred":false,"id":885200,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tappan, G. 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The U.S. Geological Survey, in cooperation with the Delaware Department of Natural Resources and Environmental Control and the Delaware Geological Survey, conducted a groundwater-quality investigation to (1) describe the occurrence and distribution of PFAS, and (2) document any changes in groundwater quality in the Columbia aquifer public water-supply wells in the Delaware Coastal Plain between 2000 and 2008 and between 2008 and 2018. Thirty public water-supply wells located throughout the Columbia aquifer of the Delaware Coastal Plain were sampled from August through November 2018. Groundwater collected from the wells was analyzed for the occurrence and distribution of 18 per- and polyfluorinated alkyl substances (PFAS) as well as groundwater age. Descriptive statistical analyses were performed to assess PFAS analytical results within the well network and the combined perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) concentrations were compared to the U.S. Environmental Protection Agency’s (EPA) health advisory level (HAL) for informational purposes only and not for evidence of compliance or noncompliance with Federal regulations. The EPA’s HAL is a health-based reference level for public drinking water as supplied to customers and is not applied to source (raw) water. Groundwater-age data were compared for sites sampled in 2000, 2008, and 2018 to document any changes.

All samples were analyzed for 18 PFAS using EPA Method 537 (modified). Forty-four percent of the analyzed PFAS were detected in the study well network. Sixteen of the sampled wells have one or more PFAS detections, and as many as eight different PFAS were found in a single sample. Wells with a higher number of PFAS detected (five or more) were in New Castle and Sussex Counties. The PFAS most frequently detected were PFOA, with 47 percent detection; perfluorohexanoic acid (PFHxA), with 33 percent detection; and PFOS and perfluorohexane sulfonate (PFHxS), with 27 percent detection each. PFAS concentrations were below 1,000 parts per trillion (ppt). Two wells exceeded the EPA’s lifetime-drinking water health advisory level of 70 ppt for combined concentrations of PFOA and PFOS.

The average age of groundwater entering the screens of the supply wells sampled in 2018 ranged from 8.2 to 45.8 years, with a median groundwater age of 25.7 years. Groundwater age was positively correlated with well depth and negatively correlated with dissolved oxygen. Groundwater age and PFAS concentrations were negatively correlated in the Columbia aquifer. Data from the 23 resampled wells indicate a significant positive difference in the average modeled groundwater-sample-age results. The average groundwater age from samples collected in 2018 was generally 5 years older than the average groundwater age from samples collected in 2008. The same pattern was found during cycle two (2008) of this study, where the 2008 groundwater age was on average 7 years older than the samples collected in 2000. The distribution of groundwater sample ages among the 17 trend wells and during the three study cycles (2000, 2008, and 2018) indicates that sample-age medians were statistically different from zero; well-water sample-age data show a slight increase in groundwater sample age.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211109","collaboration":"Prepared in cooperation with the Delaware Geological Survey and Delaware Department of Natural Resources and Environmental Control","usgsCitation":"Reyes, B., 2021, Occurrence and distribution of PFAS in sampled source water of public drinking-water supplies in the surficial aquifer in Delaware, 2018; PFAS and groundwater age-dating results: U.S. Geological Survey Open-File Report 2021–1109, 27 p., https://doi.org/10.3133/ofr20211109.","productDescription":"Report: vii, 27 p.; Data Release; Database","numberOfPages":"27","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-122437","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":392630,"rank":7,"type":{"id":39,"text":"HTML 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Director, Maryland-Delaware-D.C. Water Science Center
U.S. Geological Survey
5522 Research Park Drive
Catonsville, MD 21228

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2021-12-08","noUsgsAuthors":false,"publicationDate":"2021-12-08","publicationStatus":"PW","contributors":{"authors":[{"text":"Reyes, Betzaida 0000-0002-1398-0824 breyes@usgs.gov","orcid":"https://orcid.org/0000-0002-1398-0824","contributorId":2250,"corporation":false,"usgs":true,"family":"Reyes","given":"Betzaida","email":"breyes@usgs.gov","affiliations":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827716,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70226730,"text":"tm4B6 - 2021 - Historical and paleoflood analyses for probabilistic flood-hazard assessments—Approaches and review guidelines","interactions":[],"lastModifiedDate":"2021-12-08T11:59:24.716062","indexId":"tm4B6","displayToPublicDate":"2021-12-07T14:15:55","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"4-B6","displayTitle":"Historical and Paleoflood Analyses for Probabilistic Flood-Hazard Assessments—Approaches and Review Guidelines","title":"Historical and paleoflood analyses for probabilistic flood-hazard assessments—Approaches and review guidelines","docAbstract":"

Paleoflood studies are an effective means of providing specific information on the recurrence and magnitude of rare and large floods. Such information can be combined with systematic flood measurements to better assess the frequency of large floods. Paleoflood data also provide valuable information about the linkages among climate, land use, flood-hazard assessments, and channel morphology. This document summarizes methods and techniques for the preparation, gathering, evaluation, and interpretation of paleoflood information, including uncertainties, especially with respect to new statistical approaches available to efficiently use such data. We summarize best practices and strategies for assessing and mitigating uncertainties and provide guidelines on appropriate technical review of paleoflood analyses based on project goals and requirements.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm4B6","collaboration":"Prepared in cooperation with the Nuclear Regulatory Commission","usgsCitation":"Harden, T.M., Ryberg, K.R., O’Connor, J.E., Friedman, J.M., and Kiang, J.E., 2021, Historical and paleoflood analyses for probabilistic flood-hazard assessments—Approaches and review guidelines: U.S. Geological Survey Techniques and Methods, book 4, chap. B6, 91 p., https://doi.org/10.3133/tm4B6.","productDescription":"vii, 91 p.","onlineOnly":"Y","ipdsId":"IP-123028","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":392605,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/04/b06/tm4b6.pdf","text":"Report","size":"18.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"TM 4-B6"},{"id":392604,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/04/b06/coverthb.jpg"}],"contact":"

Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 92701

","tableOfContents":"","publishedDate":"2021-12-07","noUsgsAuthors":false,"publicationDate":"2021-12-07","publicationStatus":"PW","contributors":{"authors":[{"text":"Harden, Tessa M. 0000-0001-9854-1347 tharden@usgs.gov","orcid":"https://orcid.org/0000-0001-9854-1347","contributorId":192153,"corporation":false,"usgs":true,"family":"Harden","given":"Tessa","email":"tharden@usgs.gov","middleInitial":"M.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828009,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ryberg, Karen R. 0000-0002-9834-2046 kryberg@usgs.gov","orcid":"https://orcid.org/0000-0002-9834-2046","contributorId":1172,"corporation":false,"usgs":true,"family":"Ryberg","given":"Karen","email":"kryberg@usgs.gov","middleInitial":"R.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":828010,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"O'Connor, Jim E. 0000-0002-7928-5883 oconnor@usgs.gov","orcid":"https://orcid.org/0000-0002-7928-5883","contributorId":140771,"corporation":false,"usgs":true,"family":"O'Connor","given":"Jim E.","email":"oconnor@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":828011,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":828012,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":828013,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70226670,"text":"sim3482 - 2021 - Mean annual runoff and annual runoff variability map for Oklahoma, 1940–2007","interactions":[],"lastModifiedDate":"2021-12-07T11:38:30.513661","indexId":"sim3482","displayToPublicDate":"2021-12-06T16:19:48","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3482","displayTitle":"Mean Annual Runoff and Annual Runoff Variability Map for Oklahoma, 1940–2007","title":"Mean annual runoff and annual runoff variability map for Oklahoma, 1940–2007","docAbstract":"

Hydrologic records used to create previously published maps depicting mean annual runoff are biased to a relatively dry period in Oklahoma history that was dominated by droughts. Therefore, the U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, developed an updated mean annual runoff and annual runoff variability map for Oklahoma and parts of adjacent States. The updated map, which is based on mean-annual-streamflow regression equations developed from available streamgage data through 2007, is assumed to be representative of the long-term mean annual runoff conditions. The map covers all 69 8-digit hydrologic units with at least 1 square mile of area in Oklahoma; those 8-digit hydrologic units contain 2,870 12-digit hydrologic units that provided the geographic framework for the analysis described in this report. Although parts of adjacent States are included in the study area, this report is primarily focused on providing a map of mean annual runoff and annual runoff variability for Oklahoma.

The mean annual runoff increased from less than 0.25 inch per year in the Panhandle of northwestern Oklahoma to more than 30 inches per year in the mountainous terrain of southeastern Oklahoma. The orientation and pattern of mean annual runoff contours in this report were comparable to those of previously published map reports. The annual runoff variability, or the difference between the 80-percent and 20-percent streamflow-duration statistics, increased from less than 0.25 inch per year in the Panhandle of northwestern Oklahoma to more than 40 inches per year in the mountainous terrain of southeastern Oklahoma. The annual runoff variability data were similar in orientation and pattern to the mean annual runoff contours; annual runoff variability generally increased proportionally with increasing mean annual runoff. The annual runoff variability was also greatest, therefore, in the mountainous terrain of southeastern Oklahoma.

The mean annual runoff and annual runoff variability were calculated at sampled points representing the outlets of 12-digit hydrologic units, so the map in this report is most representative of runoff conditions in rural, unregulated drainage basins at the 12-digit hydrologic-unit scale. The map was developed by using regression equations formulated on streamgage data for the entire period of record through 2007, but those equations are biased to the period 1940–2007 when streamgages became more numerous and distributed across Oklahoma. Therefore, the map is likely most representative of runoff conditions during the period 1940–2007. Because runoff is a function of climate variables that can change over time, caution is warranted when using the information in this report to project mean annual runoff and annual runoff variability conditions beyond 2007.

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U.S. Geological Survey
1505 Ferguson Lane
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","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2021-12-06","noUsgsAuthors":false,"publicationDate":"2021-12-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, S. Jerrod 0000-0002-9379-8167 sjsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-9379-8167","contributorId":981,"corporation":false,"usgs":true,"family":"Smith","given":"S.","email":"sjsmith@usgs.gov","middleInitial":"Jerrod","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":827620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sherrod, Elise M.","contributorId":269639,"corporation":false,"usgs":false,"family":"Sherrod","given":"Elise","email":"","middleInitial":"M.","affiliations":[{"id":18135,"text":"Oklahoma Water Resources Board","active":true,"usgs":false}],"preferred":false,"id":827621,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}