{"pageNumber":"437","pageRowStart":"10900","pageSize":"25","recordCount":184617,"records":[{"id":70249308,"text":"70249308 - 2021 - Landsat update special issue: Landsat 9","interactions":[],"lastModifiedDate":"2023-10-05T11:00:04.317039","indexId":"70249308","displayToPublicDate":"2021-12-21T15:53:23","publicationYear":"2021","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"title":"Landsat update special issue: Landsat 9","docAbstract":"

No abstract available.

","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Hartpence, A., 2021, Landsat update special issue: Landsat 9, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-135687","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":421619,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/index.php/landsat-missions/news/landsat-update-special-issue-landsat-9"},{"id":421644,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hartpence, Anya 0000-0002-4510-3236","orcid":"https://orcid.org/0000-0002-4510-3236","contributorId":247379,"corporation":false,"usgs":false,"family":"Hartpence","given":"Anya","email":"","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":885052,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"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":70226913,"text":"70226913 - 2021 - Invasive sea lamprey detection and characterization using interdigitated electrode (IDE) contact sensor","interactions":[],"lastModifiedDate":"2021-12-21T15:30:33.915647","indexId":"70226913","displayToPublicDate":"2021-12-21T09:22:54","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9956,"text":"IEEE Sensors Journal","active":true,"publicationSubtype":{"id":10}},"title":"Invasive sea lamprey detection and characterization using interdigitated electrode (IDE) contact sensor","docAbstract":"The ability to monitor invasive sea lamprey (Petromyzon marinus) populations in the Laurentian Great Lakes is critical to protecting the region’s $ 7 billion USD fishing industry and preserving its biodiversity. Monitoring these invaders requires considerable fieldwork and human power, making remote lamprey detection systems attractive for their continuous monitoring capabilities and potential for workload reduction. However, a lack of available methods for detecting sea lamprey hampers development of such systems. Here we present a sensor composed of two exposed planar interdigitated electrodes (IDE) along with a DC measurement system for the detection of lamprey attachment underwater. Measuring voltage instead of impedance, reduces cost and signal processing complexity, making the device more attractive for field deployment. The system is calibrated to a baseline output voltage and deviations from this baseline occur when objects touch the IDE. Validation was done through testing on live adult sea lampreys using video recordings to correlate lamprey attachments to the sensor response. Three response types were identified corresponding to different attachments: sustained, short and sliding-sustained. Sensor response to sustained and sliding-sustained attachments showed a characteristic exponential decay whereas the response due to short attachments was indistinguishable from measurement noise. Lamprey size was found to have a weak linear correlation with both response parameters, positive for the voltage drop and negative for the time constant of voltage drop. A representative circuit for the lamprey-sensor interaction is proposed and simulated using element values calculated from the response parameters. The response of the model shows agreement with experimental data.","language":"English","publisher":"Institute of Electrical and Electronics Engineers","doi":"10.1109/JSEN.2021.3122884","usgsCitation":"Gonzalez-Afanador, I., Shi, H., Holbrook, C., Tan, X., and Sepulveda, N., 2021, Invasive sea lamprey detection and characterization using interdigitated electrode (IDE) contact sensor: IEEE Sensors Journal, v. 21, no. 24, p. 27947-27956, https://doi.org/10.1109/JSEN.2021.3122884.","productDescription":"10 p.","startPage":"27947","endPage":"27956","ipdsId":"IP-132564","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":450001,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1109/jsen.2021.3122884","text":"Publisher Index Page"},{"id":393194,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Great 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permafrost","interactions":[],"lastModifiedDate":"2022-04-13T20:25:58.025504","indexId":"70226918","displayToPublicDate":"2021-12-21T09:00:34","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1836,"text":"Global Biogeochemical Cycles","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing methane emission hotspots from thawing permafrost","docAbstract":"

Methane (CH4) emissions from climate-sensitive ecosystems within the northern permafrost region represent a potentially large but highly uncertain source, with current estimates spanning a factor of seven (11–75 Tg CH4 yr−1). Accelerating permafrost thaw threatens significant increases in pan-Arctic CH4 emissions, amplifying the permafrost carbon feedback. We used airborne imaging spectroscopy with meter-scale spatial resolution and broad coverage to identify a previously undiscovered CH4 emission hotspot adjacent to a thermokarst lake in interior Alaska. Hotspot emissions were confined to <1% of the 10 ha lake study area. Ground-based chamber measurements confirmed average daily fluxes from the hotspot of 1,170 mg CH4 m−2 d−1, with extreme daily maxima up to 24,200 mg CH4 m−2 d−1. Ground-based geophysical measurements revealed thawed permafrost directly beneath the CH4 hotspot, extending to a depth of ∼15 m, indicating that the intense CH4 emissions likely originated from recently thawed permafrost. Hotspot emissions accounted for ∼40% of total diffusive CH4 emissions from the lake study site. Combining study site findings with hotspot statistics from our 70,000 km2 airborne survey across Alaska and northwestern Canada, we estimate that pan-Arctic terrestrial thermokarst hotspots currently emit 1.1 (0.1–5.2) Tg CH4 yr−1, or roughly 4% of the annual pan-Arctic wetland budget from just 0.01% of the northern permafrost land area. Our results suggest that significant proportions of pan-Arctic CH4 emissions originate from disproportionately small areas of previously undetermined thermokarst emissions hotspots, and that pan-Arctic CH4 emissions may increase non-linearly as thermokarst processes increase under a warming climate.

","language":"English","publisher":"Wiley","doi":"10.1029/2020GB006922","usgsCitation":"Elder, C.D., Thompson, D.R., Thorpe, A.K., Chandanpurkar, H., Hanke, P.J., Hasson, N., James, S.R., Minsley, B.J., Pastick, N.J., Olefeldt, D., Walter Anthony, K., and Miller, C.E., 2021, Characterizing methane emission hotspots from thawing permafrost: Global Biogeochemical Cycles, v. 35, no. 12, e2020GB006922, 22 p., https://doi.org/10.1029/2020GB006922.","productDescription":"e2020GB006922, 22 p.","ipdsId":"IP-124912","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":393192,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","otherGeospatial":"Big Trail Lake, Eastside Pond","geographicExtents":"{\n \"type\": 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Over the past 20 years, our understanding of volcanic eruption impacts on the built environment has transformed from being primarily observational with small datasets to one grounded in field investigations, laboratory experiments, and quantitative modeling, with an emphasis on stakeholder collaboration and co-creation. Here, we summarize key advances and knowledge gaps of impacts across volcanic hazards and built environment types from the past 20 + years. Studies have concentrated on impacts from tephra fall (ash) and to buildings, with less examination of other hazards’ impacts to critical infrastructure. As we look to the next decade, we speculate on likely research directions, including the increasing role of new technologies, higher resolution modeling, transdisciplinary collaborations, and evidence-based mitigative solutions.

","language":"English","publisher":"Springer","doi":"10.1007/s00445-021-01506-8","usgsCitation":"Deligne, N.I., Jenkins, S.F., Meredith, E.S., Williams, G.T., Leonard, G.S., Stewart, C., Wilson, T.M., Biass, S., Blake, D.M., Blong, R.J., Bonadonna, C., Calderon, R., Hayes, J.L., Johnston, D.M., Kennedy, B.M., Magill, C.R., Spence, R., Wallace, K.L., Wardman, J., Weir, A.M., Wilson, G., and Zuccaro, G., 2021, From anecdotes to quantification: Advances in characterizing volcanic eruption impacts on the built environment: Bulletin of Volcanology, v. 84, no. 2, 7, 9 p., https://doi.org/10.1007/s00445-021-01506-8.","productDescription":"7, 9 p.","ipdsId":"IP-130731","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":393298,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":427269,"rank":2,"type":{"id":42,"text":"Open Access USGS 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kwallace@usgs.gov","orcid":"https://orcid.org/0000-0002-0962-048X","contributorId":3454,"corporation":false,"usgs":true,"family":"Wallace","given":"Kristi","email":"kwallace@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":828917,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Wardman, John 0000-0002-0252-8429","orcid":"https://orcid.org/0000-0002-0252-8429","contributorId":270279,"corporation":false,"usgs":false,"family":"Wardman","given":"John","email":"","affiliations":[{"id":56132,"text":"AXA XL","active":true,"usgs":false}],"preferred":false,"id":828918,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Weir, Alanna M. 0000-0001-7449-016X","orcid":"https://orcid.org/0000-0001-7449-016X","contributorId":270280,"corporation":false,"usgs":false,"family":"Weir","given":"Alanna","email":"","middleInitial":"M.","affiliations":[{"id":37172,"text":"University of Canterbury","active":true,"usgs":false}],"preferred":false,"id":828919,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Wilson, Grant","contributorId":270281,"corporation":false,"usgs":false,"family":"Wilson","given":"Grant","email":"","affiliations":[{"id":56133,"text":"National Emergency Management Agency, New Zealand","active":true,"usgs":false}],"preferred":false,"id":828920,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Zuccaro, Giulio 0000-0001-8572-067X","orcid":"https://orcid.org/0000-0001-8572-067X","contributorId":270282,"corporation":false,"usgs":false,"family":"Zuccaro","given":"Giulio","email":"","affiliations":[{"id":35512,"text":"University of Naples Federico II","active":true,"usgs":false}],"preferred":false,"id":828921,"contributorType":{"id":1,"text":"Authors"},"rank":22}]}} ,{"id":70230353,"text":"70230353 - 2021 - Plant community succession following ungulate exclusion in a temperate rainforest","interactions":[],"lastModifiedDate":"2022-04-08T11:38:22.264503","indexId":"70230353","displayToPublicDate":"2021-12-21T06:35:37","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Plant community succession following ungulate exclusion in a temperate rainforest","docAbstract":"

Ecosystem structure and processes of coastal temperate rainforests of the Pacific Northwest are thought to be strongly influenced by herbivory primarily of Roosevelt elk (Cervus elaphus roosevelti) and secondarily of Columbian black-tailed deer (Odocoileus hemionus columbianus). Two large (0.5-ha) exclosures were built in old-growth coniferous rainforest communities in Olympic National Park, Washington, during 1979 to study these effects. Cover of shrubs, ferns, herbs, and graminoids and numbers of tree seedlings were described over 36 yr. Results show a sequence following ungulate exclusion of early release of shrubs, ferns, and herbs followed by eventual dominance of shrubs as other vegetation layers become shaded. Short-term responses of individual species reflected functional traits related to ability to avoid or tolerate herbivory. Over the longer term, effects reflected changing competitive relationships among vegetation layers and other ecosystem dynamics such as the provision of fallen trees in the appropriate decay class to serve as establishment substrate for tree seedlings. In aggregate, vegetation composition shifted after 36 yr from a system dominated by herbaceous cover with a major graminoid component to one dominated by shrubs (5- to 6-fold absolute increase) and ferns (5–7% increase in absolute cover), less absolute herb cover (15–20% loss), and almost no graminoids (<1.5% cover remaining in any plot) after 36 yr. These changes represented a substantial loss in plant community diversity with a loss of 46 of 74 species. Elk abundance outside of the exclosures began to decline in the 1990s leading to parallel changes in plant community trajectories outside of exclosures to those initially seen inside. While this suggests plant community responses inside the exclosures were also driven by elk exclusion, the strength of this response depends on elk abundance.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.3889","usgsCitation":"Woodward, A., Jenkins, K., and Harmon, M.E., 2021, Plant community succession following ungulate exclusion in a temperate rainforest: Ecosphere, v. 12, no. 12, e03889, 30 p., https://doi.org/10.1002/ecs2.3889.","productDescription":"e03889, 30 p.","ipdsId":"IP-120512","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":488017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.3889","text":"Publisher Index Page"},{"id":398375,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.51354980468749,\n 47.1075227853425\n ],\n [\n -122.57995605468749,\n 47.1075227853425\n ],\n [\n -122.57995605468749,\n 48.38544219115486\n ],\n [\n -124.51354980468749,\n 48.38544219115486\n ],\n [\n -124.51354980468749,\n 47.1075227853425\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"12","noUsgsAuthors":false,"publicationDate":"2021-12-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Woodward, Andrea 0000-0003-0604-9115 awoodward@usgs.gov","orcid":"https://orcid.org/0000-0003-0604-9115","contributorId":3028,"corporation":false,"usgs":true,"family":"Woodward","given":"Andrea","email":"awoodward@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":840048,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Kurt 0000-0003-1415-6607","orcid":"https://orcid.org/0000-0003-1415-6607","contributorId":221472,"corporation":false,"usgs":true,"family":"Jenkins","given":"Kurt","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":840049,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harmon, Mark E","contributorId":289910,"corporation":false,"usgs":false,"family":"Harmon","given":"Mark","email":"","middleInitial":"E","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":840050,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70262307,"text":"70262307 - 2021 - Fatal infection with Versteria sp. in a muskrat, with implications for human health","interactions":[],"lastModifiedDate":"2025-01-23T15:35:43.170498","indexId":"70262307","displayToPublicDate":"2021-12-21T00:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2492,"text":"Journal of Veterinary Diagnostic Investigation","active":true,"publicationSubtype":{"id":10}},"title":"Fatal infection with Versteria sp. in a muskrat, with implications for human health","docAbstract":"

The Taeniidae tapeworms are a family of helminths that have a similar life cycle, with intermediate hosts developing characteristic cysts in visceral organs. We describe here a case in Pennsylvania, USA, of fatal Versteria infection in a muskrat (Ondatra zibethicus), which, to our knowledge, has not been reported to develop disease associated with infection. Postmortem examination revealed widespread tissue loss and replacement by solid-bodied cestode larvae with minimal adjacent inflammation in many visceral organs, most severe in the lungs, liver, and brain. Key morphologic features via histology included cephalic structures and short rostellar hooklets, which are characteristic for the genus. Genetic characterization confirmed the cestode as being an undescribed lineage of Versteria that has been implicated as the cause of severe morbidity and mortality in humans and nonhuman primates in North America. Considering the zoonotic significance of this pathogen, our report expands on the limited literature regarding disease caused by Versteria and emphasizes the need to identify the causative tapeworm more accurately, especially in rodent intermediate hosts given that previous reports do not have molecular confirmation of species.

","language":"English","publisher":"Sage","doi":"10.1177/10406387211064270","usgsCitation":"Niedringhaus, K., Ganoe, L., Lovallo, M., Walter, W., Yabsley, M., and Brown, J., 2021, Fatal infection with Versteria sp. in a muskrat, with implications for human health: Journal of Veterinary Diagnostic Investigation, v. 34, no. 2, p. 314-318, https://doi.org/10.1177/10406387211064270.","productDescription":"5 p.","startPage":"314","endPage":"318","ipdsId":"IP-130927","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8921815","text":"Publisher Index Page"},{"id":480991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Commission","active":true,"usgs":false}],"preferred":false,"id":923786,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Walter, W. David 0000-0003-3068-1073","orcid":"https://orcid.org/0000-0003-3068-1073","contributorId":219540,"corporation":false,"usgs":true,"family":"Walter","given":"W. David","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923783,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Yabsley, Michael J.","contributorId":348805,"corporation":false,"usgs":false,"family":"Yabsley","given":"Michael J.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":923787,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown, Justin","contributorId":348806,"corporation":false,"usgs":false,"family":"Brown","given":"Justin","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":923788,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70226870,"text":"pp1842Q - 2021 - The effects of management practices on grassland birds—Short-eared Owl (Asio flammeus)","interactions":[{"subject":{"id":70226870,"text":"pp1842Q - 2021 - The effects of management practices on grassland birds—Short-eared Owl (Asio flammeus)","indexId":"pp1842Q","publicationYear":"2021","noYear":false,"chapter":"Q","displayTitle":"The Effects of Management Practices on Grassland Birds—Short-Eared Owl (Asio flammeus)","title":"The effects of management practices on grassland birds—Short-eared Owl (Asio flammeus)"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2023-12-20T21:19:17.061738","indexId":"pp1842Q","displayToPublicDate":"2021-12-20T14:29:36","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"Q","displayTitle":"The Effects of Management Practices on Grassland Birds—Short-Eared Owl (Asio flammeus)","title":"The effects of management practices on grassland birds—Short-eared Owl (Asio flammeus)","docAbstract":"

The key to Short-eared Owl (Asio flammeus) management is providing large grasslands and wetlands, particularly those that can support high densities of voles (Microtus species). Short-eared Owls have been reported to use habitats with 30–90 centimeters (cm) average vegetation height, 7–47 cm visual obstruction reading, 31–85 percent grass cover, 8–26 percent forb cover, less than 18 percent shrub cover, 43 percent litter cover, and 1–2 cm litter depth.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842Q","usgsCitation":"Shaffer, J.A., Igl, L.D., Johnson, D.H., Sondreal, M.L., Goldade, C.M., Nenneman, M.P., and Euliss, B.R., 2021, The effects of management practices on grassland birds—Short-eared Owl (Asio flammeus), chap. Q of Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 12 p., https://doi.org/10.3133/pp1842Q.","productDescription":"iv., 12 p.","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-095137","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":393039,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/q/coverthb.jpg"},{"id":393040,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/q/pp1842q.pdf","text":"Report","size":"1.98 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–Q"}],"contact":"

Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-12-20","noUsgsAuthors":false,"publicationDate":"2021-12-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Jill A. 0000-0003-3172-0708 jshaffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":3184,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill","email":"jshaffer@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":828543,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igl, Lawrence D. 0000-0003-0530-7266 ligl@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":2381,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"ligl@usgs.gov","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":828544,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":828545,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sondreal, Marriah L.","contributorId":73532,"corporation":false,"usgs":true,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":828546,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":215632,"corporation":false,"usgs":false,"family":"Goldade","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":828547,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nenneman, Melvin P.","contributorId":190777,"corporation":false,"usgs":false,"family":"Nenneman","given":"Melvin","email":"","middleInitial":"P.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":828548,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Euliss, Betty R.","contributorId":191881,"corporation":false,"usgs":false,"family":"Euliss","given":"Betty","email":"","middleInitial":"R.","affiliations":[{"id":24583,"text":"former USGS employee","active":true,"usgs":false}],"preferred":false,"id":828549,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"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":70226904,"text":"ofr20211119 - 2021 - Growth, survival, and cohort formation of juvenile Lost River (Deltistes luxatus) and shortnose suckers (Chasmistes brevirostris) in Upper Klamath Lake, Oregon, and Clear Lake Reservoir, California—2019 Monitoring Report","interactions":[],"lastModifiedDate":"2021-12-21T14:45:07.493041","indexId":"ofr20211119","displayToPublicDate":"2021-12-20T12:22:36","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":"2021-1119","displayTitle":"Growth, Survival, and Cohort Formation of Juvenile Lost River (Deltistes luxatus) and Shortnose Suckers (Chasmistes brevirostris) in Upper Klamath Lake, Oregon, and Clear Lake Reservoir, California—2019 Monitoring Report","title":"Growth, survival, and cohort formation of juvenile Lost River (Deltistes luxatus) and shortnose suckers (Chasmistes brevirostris) in Upper Klamath Lake, Oregon, and Clear Lake Reservoir, California—2019 Monitoring Report","docAbstract":"

Populations of federally endangered Lost River (Deltistes luxatus) and shortnose suckers (Chasmistes brevirostris) in Upper Klamath Lake, Oregon, and Clear Lake Reservoir (hereinafter, Clear Lake), California, are experiencing long-term decreases in abundance. Upper Klamath Lake populations are decreasing not only due to adult mortality, which is relatively low, but also because they are not being balanced by recruitment of young adult suckers into known adult spawning aggregations.

Long-term monitoring of juvenile sucker populations is conducted to (1) determine if there are annual and species-specific differences in production, survival, and growth, (2) better understand when juvenile sucker mortality is greatest, and (3) help identify potential causes of high juvenile sucker mortality particularly in Upper Klamath Lake. The U.S. Geological Survey monitoring program, that began in 2015, tracks cohorts through summer months and among years in Upper Klamath and Clear Lakes. Data on juvenile suckers captured in trap nets are used to provide information on annual variability in age-0 sucker apparent production, juvenile sucker apparent survival, apparent growth, species composition, and health.

Upper Klamath Lake indices of year-class strength indicated that the 2019 year-class was the strongest in the past 5 years of monitoring. Low detections of age-1 and older suckers indicate that the 2018 cohort experienced poor survival within the first year of life. Shortnose suckers constituted the smallest proportion and suckers with uncertain species identification constituted the largest proportion of the 2019 year-class. Small numbers of Lost River sucker were captured consistently throughout the sampling season.

The relative abundance of age-0 suckers is not a good indicator of year-class strength in Clear Lake. There were no age-0 suckers captured in Clear Lake during the 2015 and 2019 sampling seasons. Most suckers captured were age-1 Klamath largescale/shortnose suckers, which indicated a relatively strong 2018 cohort. Four-year old juveniles from the 2015 cohort were present in 2019 in Clear Lake. Cohorts that do not recruit to our sampling gear until a year or more of age seem to indicate that (1) a stream resident life history is contributing to the lake population and (2) juvenile suckers occupy the Willow Creek drainage for a full year or more. Although these suckers could be either the non-endangered Klamath largescale or the endangered shortnose suckers, a stream resident life history is consistent with these fish being Klamath largescale suckers. Survival of all distinguishable taxa of juvenile suckers is much higher in Clear Lake than in Upper Klamath Lake, with non-trivial numbers of suckers surviving to join spawning aggregations in most years.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211119","collaboration":"Prepared in cooperation with the Bureau of Reclamation","usgsCitation":"Bart, R.J., Kelsey, C.M., Burdick, S.M., Hoy, M.S., and Ostberg, C.O., 2021, Growth, survival, and cohort formation of juvenile Lost River (Deltistes luxatus) and shortnose suckers (Chasmistes brevirostris) in Upper Klamath Lake, Oregon, and Clear Lake Reservoir, California—2019 Monitoring Report: U.S. Geological Survey Open-File Report 2021–1119, 26 p., https://doi.org/10.3133/ofr20211119.","productDescription":"vi, 26 p.","onlineOnly":"Y","ipdsId":"IP-125594","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":393120,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1119/ofr20211119.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1119"},{"id":393119,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1119/coverthb.jpg"}],"country":"United States","state":"California, Oregon","otherGeospatial":"Clear Lake Reservoir, Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.16384887695312,\n 42.21733067375916\n ],\n [\n -121.75048828124999,\n 42.21733067375916\n ],\n [\n -121.75048828124999,\n 42.595554553719204\n ],\n [\n -122.16384887695312,\n 42.595554553719204\n ],\n [\n -122.16384887695312,\n 42.21733067375916\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.25473022460936,\n 41.78052894057897\n ],\n [\n -121.04324340820312,\n 41.78052894057897\n ],\n [\n -121.04324340820312,\n 41.94621306986162\n ],\n [\n -121.25473022460936,\n 41.94621306986162\n ],\n [\n -121.25473022460936,\n 41.78052894057897\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":"Bart, Ryan J. 0000-0003-0310-0667","orcid":"https://orcid.org/0000-0003-0310-0667","contributorId":223561,"corporation":false,"usgs":true,"family":"Bart","given":"Ryan","email":"","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":false,"id":828734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kelsey, Caylen M. 0000-0003-0470-0963 ckelsey@usgs.gov","orcid":"https://orcid.org/0000-0003-0470-0963","contributorId":258179,"corporation":false,"usgs":true,"family":"Kelsey","given":"Caylen","email":"ckelsey@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":828735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burdick, Summer M. 0000-0002-3480-5793 sburdick@usgs.gov","orcid":"https://orcid.org/0000-0002-3480-5793","contributorId":3448,"corporation":false,"usgs":true,"family":"Burdick","given":"Summer","email":"sburdick@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":828736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hoy, Marshal S. 0000-0003-2828-9697 mhoy@usgs.gov","orcid":"https://orcid.org/0000-0003-2828-9697","contributorId":3033,"corporation":false,"usgs":true,"family":"Hoy","given":"Marshal","email":"mhoy@usgs.gov","middleInitial":"S.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":828737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ostberg, Carl O. 0000-0003-1479-8458 costberg@usgs.gov","orcid":"https://orcid.org/0000-0003-1479-8458","contributorId":3031,"corporation":false,"usgs":true,"family":"Ostberg","given":"Carl","email":"costberg@usgs.gov","middleInitial":"O.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":828738,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"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":70226880,"text":"ofr20211107 - 2021 - Golden eagle population surveys in the vicinity of the Altamont Pass Wind Resource Area, California, 2014–21","interactions":[],"lastModifiedDate":"2022-09-27T14:00:18.188539","indexId":"ofr20211107","displayToPublicDate":"2021-12-17T13:19:50","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":"2021-1107","displayTitle":"Golden Eagle Population Surveys in the Vicinity of the Altamont Pass Wind Resource Area, California, 2014–21","title":"Golden eagle population surveys in the vicinity of the Altamont Pass Wind Resource Area, California, 2014–21","docAbstract":"

Golden Eagles (Aquila chrysaetos) are among the highest profile species killed by collisions with wind turbines at the Altamont Pass Wind Resource Area (APWRA) in the northern Diablo Range of west-central California. Understanding the distribution, site occupancy, and nesting status of eagles near the APWRA is needed to identify and minimize possible population-level impacts. We established a broad-scale survey design across a 5,185-km square-kilometer region of the Diablo Range, including the APWRA, to monitor site occupancy, abundance, and reproduction of Golden Eagles. During the study period we identified as many as 230 territorial pairs of Golden Eagles in the study area, up to 21 of which overlapped with the APWRA in any given year. On average, we detected a similar density of pairs at sites surveyed in the APWRA (1 pair per 17.8 km2 surveyed) relative to sites surveyed in the surrounding region (1 pair per 20.3 km2 surveyed). In 2020 and 2021, estimates of the proportion of pairs that successfully fledged at least one young (nesting success) were 0.27 and 0.26, respectively, which were above the seven-year average (0.22). On average, eagle pairs monitored in the APWRA had similar reproductive output (0.37 young fledged per pair) relative to pairs monitored outside of the APWRA (0.30 young fledged per pair). We observed a substantially higher proportion of territorial subadult pair members at the APWRA (mean = 29 percent of 16 pairs aged) relative to pairs monitored and aged in the surrounding region (mean = 3 percent of 122 pairs), indicating potentially higher rates of adult mortality or displacement at territories overlapping with the APWRA. Emergent threats to eagles in the study region, including a severe wildfire that impacted over 60 historical breeding territories in 2020, may interact with existing threats to affect population status and thus warrants further investigation. Our study provides wind energy developers, land managers, and regulatory agencies with key information on the spatial distribution, habitat quality, and population status of Golden Eagles needed to promote compatible wind energy production and long-term conservation of this federally protected wildlife species.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211107","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service and East Bay Regional Park District","usgsCitation":"Wiens, J.D., and Kolar, P.S., 2021, Golden eagle population surveys in the vicinity of the Altamont Pass Wind Resource Area, California, 2014–21: U.S. Geological Survey Open-File Report 2021–1107, 18 p., https://doi.org/10.3133/ofr20211107.","productDescription":"iv, 17 p.","onlineOnly":"Y","ipdsId":"IP-124051","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":402981,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20211107/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2021-1107"},{"id":397094,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1107/images"},{"id":397095,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2021/1107/ofr20211107.XML"},{"id":393064,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1107/coverthb.jpg"},{"id":393065,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1107/ofr20211107.pdf","text":"Report","size":"9.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1107"}],"country":"United States","state":"California","otherGeospatial":"Altamont Pass Wind Resource Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.94000244140624,\n 37.40943717748788\n ],\n [\n -121.30004882812499,\n 37.40943717748788\n ],\n [\n -121.30004882812499,\n 37.86834903305901\n ],\n [\n -121.94000244140624,\n 37.86834903305901\n ],\n [\n -121.94000244140624,\n 37.40943717748788\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Forest and Rangeland Ecosystem Science Center
U.S. Geological Survey
777 NW 9th St., Suite 400
Corvallis, Oregon 97330

","tableOfContents":"","publishedDate":"2021-12-17","noUsgsAuthors":false,"publicationDate":"2021-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Wiens, J. David 0000-0002-2020-038X jwiens@usgs.gov","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":468,"corporation":false,"usgs":true,"family":"Wiens","given":"J.","email":"jwiens@usgs.gov","middleInitial":"David","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":828606,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolar, Patrick S. 0000-0002-0076-7565","orcid":"https://orcid.org/0000-0002-0076-7565","contributorId":139543,"corporation":false,"usgs":true,"family":"Kolar","given":"Patrick","email":"","middleInitial":"S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":828607,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70226980,"text":"70226980 - 2021 - Whence Orycteropus? The correct authorship and date for the generic name of the aardvark (Mammalia, Tubulidentata, Orycteropodidae)","interactions":[],"lastModifiedDate":"2021-12-23T13:17:33.286881","indexId":"70226980","displayToPublicDate":"2021-12-17T07:16:41","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9964,"text":"Bionomina","active":true,"publicationSubtype":{"id":10}},"title":"Whence Orycteropus? The correct authorship and date for the generic name of the aardvark (Mammalia, Tubulidentata, Orycteropodidae)","docAbstract":"

All else being equal, the principle of priority in zoological taxonomic nomenclature gives precedence to the earliest name for a particular taxon. Determining the origin of some late eighteenth- and early nineteenth-century taxonomic names, however, can be vexing, particularly when the history of a name was never completely documented in contemporary synonymies. The authorship and date for Orycteropus Étienne Geoffroy Saint-Hilaire, 1796: 102, the genus-group name for the African aardvark, Orycteropus afer (Pallas, 1766), has been variously ascribed to at least four authors other than É. Geoffroy Saint-Hilaire. Using digitally imaged publications now available in a variety of internet-accessible libraries, I traced the comprehensive history of the name and show how and, to some extent, why its origin became obscured. É. Geoffroy Saint-Hilaire’s original description was re-published twice, most likely to make the description more widely available. Rather than reinforce his authorship for the name, however, the surprising consequence of the multiple publications was to cast doubt on it.

","language":"English","publisher":"Mapress","doi":"10.11646/BIONOMINA.25.1.2","usgsCitation":"Woodman, N., 2021, Whence Orycteropus? The correct authorship and date for the generic name of the aardvark (Mammalia, Tubulidentata, Orycteropodidae): Bionomina, v. 25, p. 21-34, https://doi.org/10.11646/BIONOMINA.25.1.2.","productDescription":"14 p.","startPage":"21","endPage":"34","ipdsId":"IP-135642","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":393348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","noUsgsAuthors":false,"publicationDate":"2021-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Woodman, Neal 0000-0003-2689-7373 nwoodman@usgs.gov","orcid":"https://orcid.org/0000-0003-2689-7373","contributorId":3547,"corporation":false,"usgs":true,"family":"Woodman","given":"Neal","email":"nwoodman@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":829059,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"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

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","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":70254805,"text":"70254805 - 2021 - Ontogenetic shifts from social to experiential learning drive avian migration timing","interactions":[],"lastModifiedDate":"2024-06-10T14:41:12.814419","indexId":"70254805","displayToPublicDate":"2021-12-16T09:37:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Ontogenetic shifts from social to experiential learning drive avian migration timing","docAbstract":"

Migrating animals may benefit from social or experiential learning, yet whether and how these learning processes interact or change over time to produce observed migration patterns remains unexplored. Using 16 years of satellite-tracking data from 105 reintroduced whooping cranes, we reveal an interplay between social and experiential learning in migration timing. Both processes dramatically improved individuals’ abilities to dynamically adjust their timing to track environmental conditions along the migration path. However, results revealed an ontogenetic shift in the dominant learning process, whereby subadult birds relied on social information, while mature birds primarily relied on experiential information. These results indicate that the adjustment of migration phenology in response to the environment is a learned skill that depends on both social context and individual age. Assessing how animals successfully learn to time migrations as environmental conditions change is critical for understanding intraspecific differences in migration patterns and for anticipating responses to global change.

","language":"English","publisher":"Nature Publishing","doi":"10.1038/s41467-021-27626-5","usgsCitation":"Abrahms, B., Teitelbaum, C., Mueller, T., and Converse, S.J., 2021, Ontogenetic shifts from social to experiential learning drive avian migration timing: Nature Communications, v. 12, 7326, 8 p., https://doi.org/10.1038/s41467-021-27626-5.","productDescription":"7326, 8 p.","ipdsId":"IP-130971","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":450013,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-021-27626-5","text":"Publisher Index Page"},{"id":429751,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2021-12-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Abrahms, Briana","contributorId":337674,"corporation":false,"usgs":false,"family":"Abrahms","given":"Briana","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":902611,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teitelbaum, Claire S.","contributorId":337675,"corporation":false,"usgs":false,"family":"Teitelbaum","given":"Claire S.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":902612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, Thomas","contributorId":337677,"corporation":false,"usgs":false,"family":"Mueller","given":"Thomas","affiliations":[{"id":81034,"text":"Goethe-University Frankfurt and Senckenberg Biodiversity and Climate Research Centre","active":true,"usgs":false}],"preferred":false,"id":902613,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":902610,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70232429,"text":"70232429 - 2021 - Foreword to this special issue on climate change and the critical zone geophysics","interactions":[],"lastModifiedDate":"2022-07-01T13:21:56.586004","indexId":"70232429","displayToPublicDate":"2021-12-16T08:14:51","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7446,"text":"FastTIMES","active":true,"publicationSubtype":{"id":10}},"title":"Foreword to this special issue on climate change and the critical zone geophysics","docAbstract":"

Welcome to this special issue on the use of geophysics in climate change and critical zone (CZ) research.  The importance of these research areas cannot be overstated, and yet when we were selecting contributions for this special issue, we wrestled with the fundamental question: are climate change and the critical zone two separate research areas, or one?  In other words, would there be a clear distinction between critical-zone focused articles and those addressing climate change, or would there be significant overlap making that distinction irrelevant. As we worked through the excellent submissions, it became more and more clear that any geophysical study addressing one of these elements would almost certainly be impacted in some way by the other. 

","language":"English","publisher":"Environmental and Engineering Geophysical Society","usgsCitation":"Glaser, D.R., and James, S.R., 2021, Foreword to this special issue on climate change and the critical zone geophysics: FastTIMES, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-134553","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":402820,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":402812,"type":{"id":15,"text":"Index Page"},"url":"https://fasttimesonline.co/foreword-to-this-special-issue-on-climate-change-and-the-critical-zone-geophysics/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Glaser, Dan R.","contributorId":292710,"corporation":false,"usgs":false,"family":"Glaser","given":"Dan","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":845535,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"James, Stephanie R. 0000-0001-5715-253X","orcid":"https://orcid.org/0000-0001-5715-253X","contributorId":260620,"corporation":false,"usgs":true,"family":"James","given":"Stephanie","email":"","middleInitial":"R.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":845519,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70228839,"text":"70228839 - 2021 - Oral sylvatic plague vaccine does not adequately protect prairie dogs (Cynomys spp.) for endangered black-footed ferret (Mustela nigripes) conservation","interactions":[],"lastModifiedDate":"2022-02-23T12:38:42.085936","indexId":"70228839","displayToPublicDate":"2021-12-16T06:32:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3675,"text":"Vector-Borne and Zoonotic Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Oral sylvatic plague vaccine does not adequately protect prairie dogs (Cynomys spp.) for endangered black-footed ferret (Mustela nigripes) conservation","docAbstract":"

The plague bacterium Yersinia pestis is lethal to endangered black-footed ferrets (Mustela nigripes, BFF) and the prairie dogs (Cynomys spp., PD) on which they depend for habitat and prey. We assessed the effectiveness of an oral sylvatic plague vaccine delivered in baits to black-tailed PD (Cynomys ludovicianus, BTPD) from 2013 to 2017 on the Charles M. Russell National Wildlife Refuge (CMR) in northcentral Montana. We permanently marked BTPD on four paired vaccine (N = 1,349 individuals) and placebo plots (N = 926; 7,027 total captures). We analyzed capture–recapture data under a Cormack–Jolly–Seber model to estimate annual apparent survival. Overall, survival averaged 0.05 lower on vaccine plots than on paired placebo plots. Immediately before noticeable die-offs and detecting plague on pairs CMR1 and CMR2, 89% of BTPD sampled on vaccine plots had consumed at least one bait and the immune systems (pleural) of 40% were likely boosted by consuming baits over multiple years. Survival to the following year was 0.16 and 0.05 on the vaccine plots and 0.19 and 0.06 on the placebo plots for pairs CMR1 and CMR2, respectively. These rates were markedly lower than 0.63, the overall average estimate on those same plots during the previous 3 years. PD populations subjected to such large die-offs would not be expected to sustain a BFF population. An overriding limitation to achieving sufficient protection rests with vaccine delivery constraints. Late summer/fall bait distribution results in the highest bait uptake rates. However, the PD birth pulse each spring can double the size of populations in most years, greatly reducing the proportion of vaccinates in populations and diminishing potential herd immunity benefits. In addition to nonvaccinated juveniles and PD that do not consume bait, incomplete vaccine protection and time required for immunity to develop leaves a large majority of PD populations vulnerable to plague for 6–7 months or more each year.

","language":"English","publisher":"Mary Ann Liebert, Inc. Publishers","doi":"10.1089/vbz.2021.0049","usgsCitation":"Matchett, M.R., Stanley, T., McCollister, M.F., Eads, D.A., Boulerice, J., and Biggins, D.E., 2021, Oral sylvatic plague vaccine does not adequately protect prairie dogs (Cynomys spp.) for endangered black-footed ferret (Mustela nigripes) conservation: Vector-Borne and Zoonotic Diseases, v. 21, no. 12, p. 921-940, https://doi.org/10.1089/vbz.2021.0049.","productDescription":"20 p.","startPage":"921","endPage":"940","ipdsId":"IP-126549","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":450015,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8742283","text":"Publisher Index Page"},{"id":436086,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P98EGZYI","text":"USGS data release","linkHelpText":"Black-tailed prairie dog movement and bait uptake data from 2013-2017 in Montana"},{"id":436085,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JAZVE6","text":"USGS data release","linkHelpText":"Black-tailed prairie dog capture data from plots treated and not treated with oral plague vaccine from 2013-2017 in Montana"},{"id":396330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana","otherGeospatial":"Charles M. Russell National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.34167480468749,\n 47.15984001304432\n ],\n [\n -105.765380859375,\n 47.15984001304432\n ],\n [\n -105.765380859375,\n 48.188063481211415\n ],\n [\n -108.34167480468749,\n 48.188063481211415\n ],\n [\n -108.34167480468749,\n 47.15984001304432\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"21","issue":"12","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Matchett, Marc R.","contributorId":193409,"corporation":false,"usgs":false,"family":"Matchett","given":"Marc","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":835678,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanley, Thomas 0000-0002-8393-0005","orcid":"https://orcid.org/0000-0002-8393-0005","contributorId":210435,"corporation":false,"usgs":true,"family":"Stanley","given":"Thomas","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835679,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McCollister, Matthew F.","contributorId":264909,"corporation":false,"usgs":false,"family":"McCollister","given":"Matthew","email":"","middleInitial":"F.","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":835680,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eads, David A. 0000-0002-4247-017X deads@usgs.gov","orcid":"https://orcid.org/0000-0002-4247-017X","contributorId":173639,"corporation":false,"usgs":true,"family":"Eads","given":"David","email":"deads@usgs.gov","middleInitial":"A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":835681,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boulerice, Jesse","contributorId":279879,"corporation":false,"usgs":false,"family":"Boulerice","given":"Jesse","affiliations":[{"id":36596,"text":"Wyoming Game and Fish Department","active":true,"usgs":false}],"preferred":false,"id":835682,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Biggins, Dean E. 0000-0003-2078-671X bigginsd@usgs.gov","orcid":"https://orcid.org/0000-0003-2078-671X","contributorId":2522,"corporation":false,"usgs":true,"family":"Biggins","given":"Dean","email":"bigginsd@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":835683,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"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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