This Memo to All Banders (MTAB 105) was released in August 2023. Subjects in this memo are 1. The Chief’s Chirp – a reminder to review ethics guidelines; 2. Alerts – Highly Pathogenic Avian Influenza, reminder that banders can only manage data not submit data through Bandit, reminder to be mindful of nighttime migration; 3. Staff updates – Kyra Harvey joins the BBL and the BBL welcomes student contractor; 4. News – updates to the data templates, BWBI hosts Rob Robinson from British Trust for Ornithology; 5. A note from the permitting shelves – Multi-permit collaborative project instructions; 6. A note from the supply room – 1C bands available; 7. Data management – Bander Portal video tutorials, Bander Portal Portal Office Hours, Resolving “Warnings” on the Bander Portal’s Data Cleaning/ Submission Page; 8. Frequently asked questions – Is there an easier way to load lots of locations into the Bander Portal?; 9. Auxiliary marker corner - information on how to submit data with transmitters attached to color markers; 10. Banding and encounter highlights; 11. Message to the Flyways; 12. Moments in history; 13. Recent Publications; 14. Upcoming events; 15. Request for information; and 16. Appendix - NABBP database species updates.
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Virginia\",\"nation\":\"USA \"}}]}","contact":"Director, Virginia and West Virginia Water Science Center
U.S. Geological Survey
1730 East Parham Road
Richmond, VA 23228
Between 38.5 ka cal BP and 32.4 ka cal BP, a dacitic Volcanic Explosivity Index 5 eruption at Misti volcano emplaced the Sacarosa tephra-fall deposit. Its biotite phenocrysts, fine grain size, scarce lithics, and abundant loose crystals characterize the deposit at locations sampled. The eruption’s ~ 800 °C magma rose rapidly from ~ 10 km depth, culminating in a Plinian eruption which reached a mass eruption rate of 7.7 × 106–4.1 × 107 kg/s and emplaced about 3 km3 of tephra within tens of hours. The unit comprises two layers of subequal thickness separated by a diffuse contact with the upper distinguished by being slightly coarser and less well sorted than the lower. The deposit’s coarser upper layer indicates either climactic conditions or a lesser degree of fragmentation during the latter half of the eruption. Strong winds distributed the deposit southwest of Misti, where it crops out over at least 800 km2 and drapes the present site of Arequipa with up to 100 cm of tephra. The Sacarosa deposit is the first among the Cayma stage deposits, a distinctive group of felsic, biotite-bearing units, to be carefully described and its eruption characterized. Several Cayma stage deposits were emplaced by voluminous explosive eruptions similar to the Sacarosa eruption, representing a ~ 8.9–15.5 ky interval of powerful eruptions. Such an explosive eruption today would threaten Arequipa’s over 1,100,000 residents, many of whom live within the Sacarosa deposit’s distribution.
Background: Burn severity significantly increases the likelihood and volume of post-wildfire debris flows. Pre-fire severity predictions can expedite mitigation efforts because precipitation contributing to these hazards often occurs shortly after wildfires, leaving little time for post-fire planning and management.
Aim: The aim of this study was to predict burn severity using pre-fire conditions of individual wildfire events and estimate potential post-fire debris flow to unburned areas.
Methods: We used random forests to model dNBR from pre-fire weather, fuels, topography, and remotely sensed data. We validated our model predictions against post-fire observations and potential post-fire debris-flow hazard estimates.
Key results: Fuels, pre-fire weather, and topography were important predictors of burn severity, although predictor importance varied between fires. Post-fire debris-flow hazard rankings from predicted burn severity (pre-fire) were similar to hazard assessments based on observed burn severity (post-fire).
Conclusion: Predicted burn severity can serve as an input to post-fire debris-flow models before wildfires occur, antecedent to standard post-fire burn severity products. Assessing a larger set of fires under disparate conditions and landscapes will be needed to refine predictive models.
Implications: Burn severity models based on pre-fire conditions enable the prediction of fire effects and identification of potential hazards to prioritise response and mitigation.
","language":"English","publisher":"CSIRO Publishing","doi":"10.1071/WF22200","usgsCitation":"Wells, A.G., Hawbaker, T., Hiers, J.K., Kean, J.W., Loehman, R.A., and Steblein, P.F., 2023, Predicting burn severity for integration with post-fire debris-flow hazard assessment: A case study from the Upper Colorado River Basin, USA: International Journal of Wildland Fire, v. 32, no. 9, p. 1315-1331, https://doi.org/10.1071/WF22200.","productDescription":"17 p.","startPage":"1315","endPage":"1331","ipdsId":"IP-139674","costCenters":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":506,"text":"Office of the AD Ecosystems","active":true,"usgs":true},{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":442431,"rank":2,"type":{"id":40,"text":"Open Access 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","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmars.2023.1252360","usgsCitation":"Alves, F., Queiroz, N., and Jodice, P.G., 2023, Editorial: Ecological and behavioral traits of apex predators in oceanic insular ecosystems: Advances and challenges in research and conservation: Frontiers in Marine Science, v. 10, 1252360, 3 p., https://doi.org/10.3389/fmars.2023.1252360.","productDescription":"1252360, 3 p.","ipdsId":"IP-154439","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":442436,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2023.1252360","text":"Publisher Index Page"},{"id":432042,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2023-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Alves, Filipe","contributorId":340554,"corporation":false,"usgs":false,"family":"Alves","given":"Filipe","email":"","affiliations":[{"id":81629,"text":"MARE – Marine and Environmental Sciences Centre","active":true,"usgs":false}],"preferred":false,"id":907356,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Queiroz, Nuno","contributorId":340555,"corporation":false,"usgs":false,"family":"Queiroz","given":"Nuno","affiliations":[{"id":81630,"text":"CIBIO/InBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos","active":true,"usgs":false}],"preferred":false,"id":907357,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907358,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70247828,"text":"70247828 - 2023 - Assessing the suitability of YY males and ZZ females as an invasive species population control method across life histories","interactions":[],"lastModifiedDate":"2023-11-07T15:33:59.683477","indexId":"70247828","displayToPublicDate":"2023-08-12T07:06:29","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Assessing the suitability of YY males and ZZ females as an invasive species population control method across life histories","docAbstract":"Natural resource managers use tools to control invasive species. In theory, stocking YY males or ZZ females would allow managers to skew sex ratios until populations collapse. In combination with other suppression methods, such as removal, this approach could be incorporated into Integrated Pest Management plans. For example, fishery managers have stocked YY males to control isolated non-native brook trout (Salvelinus fontinalis) populations. However, life histories and demographic factors (e.g., lifespans) vary across species and could affect the feasibility of skewing sex ratios as an effective control strategy for a given population. Likewise, some species may have sex determinations that do not allow population control through sex-skewing methods. We compared five representative aquatic invasive species with global invasion ranges for potential control by skewing the sex ratio through closed population simulations: red swamp crayfish (Procambarus clarkii), zebra mussels (Dreissena polymorpha), lake trout (Salvelinus namaycush), silver carp (Hypophthalmichthys molitrix), and Nile tilapia (Oreochromis niloticus). We determined that Nile tilapia, red swamp crayfish, and zebra mussels would be the most suitable to control through skewing the sex ratio assuming appropriate sex determination exists in the species. Lake trout could be eliminated by stocking YY males but would require either long stocking periods or high stocking numbers because of the long lifespan of the species. Silver carp populations were more difficult to crash because they live longer and produce many recruits. Broadly, these patterns demonstrated that short lived species lend themselves to control by skewing the sex ratio.
The U.S. Geological Survey (USGS) has a long history of working cooperatively with the South Carolina Department of Transportation to develop methods for estimating the magnitude and frequency of floods for rural and urban streams that have minimal to no regulation or tidal influence. As part of those previous investigations, flood-frequency estimates also have been generated for selected streamgages on regulated streams. This report assesses the effects of impoundments on flood-frequency characteristics by comparing annual exceedance probability (AEP) streamflows from pre- and post-regulated (before and after impoundment) periods at 18 long-term USGS streamgages, which is defined as a streamgage with 30 or more years of record, in Georgia, South Carolina, and North Carolina. For an assessment of how differences in such statistics can be influenced by period of record and hydrologic conditions captured in those records, which could be considered as natural variability, AEP streamflows at an additional 18 long-term USGS streamgages that represent unregulated conditions in those three States were computed and compared for the first and last half of those records.
Of the 18 long-term streamgages with pre- and post-regulated periods of record, 17 streamgages had both peak streamflows and daily mean streamflows available. To further assess how impoundments may influence a broader range of streamflow characteristics, The Nature Conservancy’s Indicators of Hydrologic Alteration software was used to compare selected streamflow characteristics generated from daily mean streamflows for pre- and post-regulated periods of record at 16 of those long-term streamgages. For comparison of the natural variability of such streamflow statistics, two periods of record (first half and last half) also were compared at 17 of the 18 long-term streamgages on unregulated streams. The remaining long-term streamgage on an unregulated stream included in this report had only annual peak streamflows and, therefore, was not included in the hydrologic alteration analysis.
In a separate USGS investigation completed in 2023, flood-frequency statistics for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent AEP streamflows (also known as the 2-, 5-, 10-, 25-, 50-, 100-, 200-, and 500-year recurrence interval streamflows, respectively) were computed for 72 streamgages on regulated streams in Georgia, South Carolina, and North Carolina. Of those 72 streamgages, 29 streamgages were found to be redundant, which is a situation where the drainage basin of one streamgage is contained inside another (nested) and the two basins are of similar size. For the remaining 43 streamgages, 39 had basins where 75 percent or more of the drainage area was above the Fall Line. Those 39 streamgages were included in this investigation to develop regional regression equations that can be used to estimate the flood-frequency statistics at ungaged locations on regulated streams in Georgia, South Carolina, and North Carolina in which 75 percent or more of the drainage basin is located above the Fall Line. The flood-frequency regression equations are functions of drainage area and maximum storage index computed for upstream reservoirs.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235065","issn":"2328-0328","collaboration":"Prepared in cooperation with South Carolina Department of Transportation","usgsCitation":"Feaster, T.D., and Musser, J.W., 2023, Effects of impoundments on selected flood-frequency and daily mean streamflow characteristics in Georgia, South Carolina, and North Carolina: U.S. Geological Survey Scientific Investigations Report 2023–5065, 43 p., https://doi.org/10.3133/sir20235065.","productDescription":"Report: viii, 43 p.; 2 Data Releases","numberOfPages":"56","onlineOnly":"Y","ipdsId":"IP-135158","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":419669,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5065/images"},{"id":419929,"rank":7,"type":{"id":39,"text":"HTML 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\"}}]}","contact":"Director, South Atlantic Water Science Center
U.S. Geological Survey
1770 Corporate Drive, suite 500
Norcross, GA 30093
Lead mining in the Southeast Missouri Lead Mining District began in the 1700s and continued for nearly 300 years; the waste piles associated with smelting, mining, and milling of lead ores have released metal residues that have contaminated soil and water in the region. Previous studies in the district have indicated potential harm to wildlife, including birds, because of elevated lead concentrations associated with mining. Exposure to soil-borne lead was correlated with elevated lead concentrations in tissues, inhibition of δ-aminolevulinic acid dehydratase (δALAD), and renal lesions in birds foraging on ground-dwelling invertebrates at contaminated sites (compared to reference sites) in the Southeast Missouri Lead Mining District.
This study assessed reproductive outcomes for songbirds exposed to soil-borne lead in the district, examined the relation between lead concentrations in soils and in tissues of ground-feeding birds and prey species, and compared the results to literature-based toxicity thresholds for lead that are associated with negative effects in birds. Three lead-contaminated sites and three reference sites (with background concentrations of lead and no known mining inputs) were compared in two ways: individually to all other sites or by site type. Additional effects of lead exposure were evaluated by examining concentrations of biomarkers (oxidative stress, lipid peroxidation, and deoxyribonucleic acid damage) in liver tissues, δALAD inhibition, and renal and hepatic microscopic lesions in birds from lead-contaminated and reference sites.
Lead concentrations in soil were site-dependent and were also generally heterogeneous within the lead-contaminated sites. Between 17 and 74 percent of all soil samples at contaminated sites had lead concentrations that exceeded a threshold (1,000 milligrams per kilogram [mg/kg] lead in soil) previously associated with adverse physiological effects in birds in the Southeast Missouri Lead Mining District. Lead concentrations in mixed invertebrates from lead-contaminated sites (282 to 2,230 mg/kg dry weight [dw]) indicated that consuming soil-dwelling prey species is a potential exposure pathway for adult birds and their broods. At lead-contaminated sites, lead concentrations in 40.5 percent of blood samples (adults and their broods) were within a subclinical effects range (0.9 to 2.3 mg/kg dw), and 18.7 percent of samples had lead concentrations that exceeded clinical effects criteria (greater than 2.3 mg/kg dw). In contrast, only 2.6 percent of blood samples from reference sites were within the subclinical effects range for lead; all other blood samples from the reference sites had lead concentrations representative of background concentrations (less than 0.9 mg/kg dw). Subclinical and clinical threshold exceedances for lead concentrations in livers and kidneys were similarly more prevalent at the contaminated sites compared to the reference sites.
Lead concentrations in blood were positively correlated with lead concentrations in soil, livers, and kidneys. Lead concentrations in blood were negatively correlated with δALAD activity; greater than 50 percent of the birds collected at lead-contaminated sites exhibited injury via greater than 50 percent inhibition of δALAD in blood compared to birds at reference sites. Birds with elevated lead concentrations in tissues also exhibited enhanced oxidative stress. Microscopic lesions in the livers and kidneys of birds had similar rates of occurrence at the contaminated and reference sites, and lesion prevalence could not be directly linked to lead exposure. Reproductive success was monitored at 585 nests, and 3 out of 5 species had reduced nest success associated with elevated lead concentrations in soil; habitat measures did not help explain nest success. Reduced nest success may have resulted from greater nest predation resulting from neurological and behavioral effects of lead exposure. Ultimately, these lines of evidence indicate that bird health and reproduction have been negatively affected by exposure to lead-contaminated soils in the Southeast Missouri Lead Mining District.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235032","usgsCitation":"Brasso, R., Cleveland, D., Thompson, F.R., III, Mosby, D.E., Hixson, K., Roach, M., Rattner, B.A., Karouna-Renier, N.K., and Lankton, J.S., 2023, Effects of lead exposure on birds breeding in the Southeast Missouri Lead Mining District: U.S. Geological Survey Scientific Investigations Report 2023–5032, 127 p., https://doi.org/10.3133/sir20235032.","productDescription":"Report: xi, 127 p.; Data Release","numberOfPages":"144","onlineOnly":"Y","ipdsId":"IP-134142","costCenters":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":419666,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RV1D60","text":"USGS data release","linkHelpText":"Breeding songbird tissue analyses and metal concentrations in tissues, soil and invertebrates collected near nesting sites within the Southeast Missouri Lead Mining District, 2016–19"},{"id":419662,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5032/coverthb.jpg"},{"id":419663,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5032/sir20235032.pdf","text":"Report","size":"9.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023–5032"},{"id":419664,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5032/sir20235032.XML"},{"id":500894,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_115182.htm","linkFileType":{"id":5,"text":"html"}},{"id":419755,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/sir20235032/full"},{"id":419665,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5032/images"}],"country":"United States","state":"Missouri","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -92.66252506041675,\n 39.51237957711933\n ],\n [\n -92.66252506041675,\n 36.74875309799043\n ],\n [\n -89.01662840507522,\n 36.74875309799043\n ],\n [\n -89.01662840507522,\n 39.51237957711933\n ],\n [\n -92.66252506041675,\n 39.51237957711933\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Columbia Environmental Research Center
U.S. Geological Survey
4200 New Haven Road
Columbia, MO 65201
A goal of U.S. Geological Survey (USGS) research is to create actionable science for U.S. Department of the Interior managers and partners. Properly managed and released software tools can quickly, accurately, and easily translate scientific results to aid managers’ decision-making. The USGS policies on software development and distribution affect how authors of USGS software products must navigate the review and approval process. Understanding these rules and procedures will save time and effort in making science useful and visible through software development. This document outlines USGS policies on software development as they pertain to Shiny applications, which use R code to create interactive web-based applications. The requirements and procedures described here will also be relevant for other USGS software applications.
This document is not intended to be a step-by-step guide on building a Shiny application or to go into detail about any of the referenced software programs. An understanding of the referenced software programs, including R, Git, and hypertext markup language/cascading style sheets (HTML/CSS) is needed to use this document efficiently, though links for more thorough guidance are included throughout.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm7B2","programNote":"Ecosystems Mission Area—Land Management Research Program","usgsCitation":"Shryock, D.F., Wright, M.C., van Mantgem, P.J., and Esque, T.C., 2023, Best practices for distributing and deploying U.S. Geological Survey Shiny applications: U.S. Geological Survey Techniques and Methods, book 7, chap. B2, 10 p., https://doi.org/10.3133/tm7B2.","productDescription":"iv, 10 p.","numberOfPages":"10","onlineOnly":"Y","ipdsId":"IP-141440","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":419717,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/07/b02/images"},{"id":419716,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/07/b02/tm7B2.xml"},{"id":419715,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm7B2/full"},{"id":419713,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/07/b02/covrthb.jpg"},{"id":419714,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/07/b02/tm7B2.pdf","text":"Report","size":"3 MB","linkFileType":{"id":1,"text":"pdf"}}],"contact":"Western Ecological Research Center
U.S. Geological Survey
3020 State University Drive East
Sacramento, California 95819
No abstract available.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Abstracts of the international cartographic association","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"31st International Cartographic Conference (ICC 2023)","conferenceDate":"August 13-18, 2023","conferenceLocation":"Cape Town, South Africa","language":"English","publisher":"International Cartographic Association","doi":"10.5194/ica-abs-6-10-2023","usgsCitation":"Arundel, S., Gaurav, S., Li, W., Martin, D., McKeehan, K.G., and Thiem, P.T., 2023, Historical maps inform landform cognition in machine learning, in Abstracts of the international cartographic association, v. 6, Cape Town, South Africa, August 13-18, 2023, 10, 2 p., https://doi.org/10.5194/ica-abs-6-10-2023.","productDescription":"10, 2 p.","ipdsId":"IP-148964","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":442441,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.5194/ica-abs-6-10-2023","text":"Publisher Index Page"},{"id":421276,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2023-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Arundel, Samantha T. 0000-0002-4863-0138 sarundel@usgs.gov","orcid":"https://orcid.org/0000-0002-4863-0138","contributorId":192598,"corporation":false,"usgs":true,"family":"Arundel","given":"Samantha","email":"sarundel@usgs.gov","middleInitial":"T.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true},{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"preferred":true,"id":884336,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gaurav, Sinha 0000-0002-1280-6269","orcid":"https://orcid.org/0000-0002-1280-6269","contributorId":330211,"corporation":false,"usgs":false,"family":"Gaurav","given":"Sinha","email":"","affiliations":[{"id":12807,"text":"Ohio University","active":true,"usgs":false}],"preferred":false,"id":884337,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Li, Wenwen 0000-0003-2237-9499","orcid":"https://orcid.org/0000-0003-2237-9499","contributorId":219356,"corporation":false,"usgs":false,"family":"Li","given":"Wenwen","email":"","affiliations":[{"id":6607,"text":"Arizona State University","active":true,"usgs":false}],"preferred":false,"id":884338,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, David P.","contributorId":330212,"corporation":false,"usgs":false,"family":"Martin","given":"David P.","affiliations":[{"id":48960,"text":"Duke Energy","active":true,"usgs":false}],"preferred":false,"id":884339,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McKeehan, Kevin G 0000-0002-7242-6954","orcid":"https://orcid.org/0000-0002-7242-6954","contributorId":330206,"corporation":false,"usgs":true,"family":"McKeehan","given":"Kevin","email":"","middleInitial":"G","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":884340,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thiem, Philip T. 0000-0002-3324-2589","orcid":"https://orcid.org/0000-0002-3324-2589","contributorId":287990,"corporation":false,"usgs":true,"family":"Thiem","given":"Philip","email":"","middleInitial":"T.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":884341,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70256607,"text":"70256607 - 2023 - Conservation at the nexus of niches: Multidimensional niche modeling to improve management of Prairie Chub","interactions":[],"lastModifiedDate":"2024-08-26T15:28:07.371737","indexId":"70256607","displayToPublicDate":"2023-08-11T10:19:49","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2886,"text":"North American Journal of Fisheries Management","active":true,"publicationSubtype":{"id":10}},"title":"Conservation at the nexus of niches: Multidimensional niche modeling to improve management of Prairie Chub","docAbstract":"A central challenge in applied ecology is understanding how organisms are spatially and temporally distributed and how management might be tailored to maintain or restore species distributions. The niche concept is central to understanding species distributions, but the diversity of niche definitions requires that multiple dimensions be considered. For example, the Grinnellian niche concept focuses on environmental conditions that allow species to persist, the Eltonian niche concept stresses the influence of biotic interactions, and the fundamental niche concept considers both abiotic and biotic environmental features to define spaces that organisms could occupy.
We combined abiotic (A), biotic (B), and movement (M) information (collectively, BAM model) to map the multidimensional niche of Prairie Chub Macrhybopsis australis, a regionally endemic freshwater fish currently under review for listing under the Endangered Species Act. We estimated A using remotely sensed environmental riverscape variables, B using the spatial distribution of a hybridization zone between Prairie Chub and Shoal Chub M. hyostoma, and M using data from a mark–recapture study.
The BAM model estimated the spatial extent of multiple niches, including the Grinnellian (A; extent = 944 km of river), Eltonian (B; 2974 km), and fundamental niche (overlap of A + B; 645 km) niches. When A, B, and M components were combined, the estimated extent of the Prairie Chub niche was 645 km.
Our work shows that the realized, multidimensional niche of Prairie Chub includes medium to large rivers with high habitat connectivity in the upper–middle Red River basin upstream of the distribution of Shoal Chub. The current Prairie Chub distribution could be maintained by preventing further habitat fragmentation and maintaining the environmental gradient separating Prairie Chub from Shoal Chub. Expansion of the species distribution may be possible through restoration of longitudinal fluvial connectivity.
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/nafm.10860","usgsCitation":"Steffensmeier, Z.D., Brewer, S.K., Wedgeworth, M., Starks, T.A., Rodger, A.W., Nguyen, E., and Perkin, J., 2023, Conservation at the nexus of niches: Multidimensional niche modeling to improve management of Prairie Chub: North American Journal of Fisheries Management, v. 43, no. 5, p. 1205-1224, https://doi.org/10.1002/nafm.10860.","productDescription":"20 p.","startPage":"1205","endPage":"1224","ipdsId":"IP-142909","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":433158,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"5","noUsgsAuthors":false,"publicationDate":"2023-08-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Steffensmeier, Zachary D.","contributorId":341344,"corporation":false,"usgs":false,"family":"Steffensmeier","given":"Zachary","email":"","middleInitial":"D.","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":908271,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wedgeworth, Maeghen","contributorId":341345,"corporation":false,"usgs":false,"family":"Wedgeworth","given":"Maeghen","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":908272,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Starks, Trevor A.","contributorId":145640,"corporation":false,"usgs":false,"family":"Starks","given":"Trevor","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":908273,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rodger, Anthony W.","contributorId":302586,"corporation":false,"usgs":false,"family":"Rodger","given":"Anthony","email":"","middleInitial":"W.","affiliations":[{"id":27443,"text":"Oklahoma Department of Wildlife Conservation","active":true,"usgs":false}],"preferred":false,"id":908274,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nguyen, Erin","contributorId":341346,"corporation":false,"usgs":false,"family":"Nguyen","given":"Erin","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":908275,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Perkin, Joshuah S.","contributorId":238286,"corporation":false,"usgs":false,"family":"Perkin","given":"Joshuah S.","affiliations":[{"id":47708,"text":"Department of Wildlife and Fisheries Sciences, Texas A&M University, College Station, TX","active":true,"usgs":false}],"preferred":false,"id":908276,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250395,"text":"70250395 - 2023 - Automated mapping of culverts, bridges, and dams","interactions":[],"lastModifiedDate":"2023-12-21T16:35:54.551553","indexId":"70250395","displayToPublicDate":"2023-08-11T10:15:52","publicationYear":"2023","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Automated mapping of culverts, bridges, and dams","docAbstract":"Accurate maps of built structures around stream channels, such as dams, culverts, and bridges, are vital in monitoring infrastructure, risk management, and hydrologic modeling. Hydrologic modeling is essential for research and decisionmaking related to infrastructure and development planning, emergency management, ecology, and developing hydrographic data. Technological advances in remote sensing afford increasingly fine-scale elevation data, such as the U.S. Geological Survey 1-meter digital elevation models (DEMs), that can accurately model the Earth’s surface characteristics and related hydrologic dynamics. A long-standing challenge in flow modeling is the presence of built structures in an elevation model that resist flow in a way that does not reflect actual dynamics, such as culverts, bridges, and dams. This challenge is exacerbated in fine-scale elevation data as more built structures are resolved. Here we present a test of the extensibility of a culvert and dam detection workflow, culvert-net (CN). CN was developed using a large dataset of field-validated culverts, bridges, and dam locations for Alexander County, North Carolina, USA, supplemented by manual review and identification of additional features. In this workflow, the CN model is tested on a new study area in western Michigan, USA, where culverts and associated hydrography have recently been manually compiled.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Abstracts of the International Cartographic Association","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"31st International Cartographic Conference (ICC 2023)","conferenceDate":"August 13-18, 2023","conferenceLocation":"Cape Town, South Africa","language":"English","publisher":"Copernicus","doi":"10.5194/ica-abs-6-231-2023","usgsCitation":"Shavers, E.J., Stanislawski, L., Schott, J., and Brosseau, Z., 2023, Automated mapping of culverts, bridges, and dams, in Abstracts of the International Cartographic Association, v. 6, Cape Town, South Africa, August 13-18, 2023, 231, 2 p., https://doi.org/10.5194/ica-abs-6-231-2023.","productDescription":"231, 2 p.","ipdsId":"IP-149048","costCenters":[{"id":404,"text":"NGTOC Rolla","active":true,"usgs":true}],"links":[{"id":442442,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.5194/ica-abs-6-231-2023","text":"Publisher Index Page"},{"id":423839,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"6","noUsgsAuthors":false,"publicationDate":"2023-08-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Shavers, Ethan J. 0000-0001-9470-5199 eshavers@usgs.gov","orcid":"https://orcid.org/0000-0001-9470-5199","contributorId":206890,"corporation":false,"usgs":true,"family":"Shavers","given":"Ethan","email":"eshavers@usgs.gov","middleInitial":"J.","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":889749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stanislawski, Larry 0000-0002-9437-0576","orcid":"https://orcid.org/0000-0002-9437-0576","contributorId":217849,"corporation":false,"usgs":true,"family":"Stanislawski","given":"Larry","affiliations":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"preferred":true,"id":889750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schott, Joel","contributorId":332235,"corporation":false,"usgs":false,"family":"Schott","given":"Joel","email":"","affiliations":[{"id":79425,"text":"Missouri University of Science and Technology, under contract to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":889751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brosseau, Zachary","contributorId":332236,"corporation":false,"usgs":false,"family":"Brosseau","given":"Zachary","email":"","affiliations":[{"id":79425,"text":"Missouri University of Science and Technology, under contract to the U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":889752,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70247538,"text":"ofr20231058 - 2023 - Lock 19 underwater acoustic deterrent system study—Interim project update, through 2022","interactions":[],"lastModifiedDate":"2023-08-18T12:21:24.733583","indexId":"ofr20231058","displayToPublicDate":"2023-08-11T07:40:55","publicationYear":"2023","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":"2023-1058","displayTitle":"Lock 19 Underwater Acoustic Deterrent System Study—Interim Project Update, through 2022","title":"Lock 19 underwater acoustic deterrent system study—Interim project update, through 2022","docAbstract":"Invasive carp (Hypophthalmichthys nobilis [Richardson, 1845; Bighead Carp], H. molitrix [Valenciennes in Cuvier and Valenciennes, 1844; Silver Carp], Ctenopharyngodon idella [Valenciennes in Cuvier and Valenciennes, 1844; Grass Carp], and Mylopharyngodon piceus [Richardson, 1846; Black Carp]) expansion threatens the Laurentian Great Lakes and other major waterways. Numerous tools and techniques are being tested or developed to curtail the upstream expansion of invasive carps while minimizing the effect to native species. Underwater sound is one technology that has shown promise as a deterrent in the laboratory and ponds and is being considered for use at bottleneck locks and dams to reduce the risk of invasive carps moving to uninvaded areas. To test this technology at a management-relevant scale, an underwater acoustic deterrent system (UADS) was designed and installed at Lock 19 on the Mississippi River in 2021. The experimental UADS operates on a continuous schedule of 80 hours on and 80 hours off to allow for comparisons of fish behavior during varying environmental, operational, and navigation traffic conditions. Two telemetry systems, operating at 69 and 307 kilohertz, were deployed to evaluate how the UADS may affect movement and behavior of invasive carps and native fish species. During 2021–22, Silver Carp were twice as likely to pass over the UADS and into the lock when it was off compared to on; however, Bigmouth Buffalo, a native fish, were 1.2 times more likely to make upstream passage when the UADS was off compared to on.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231058","usgsCitation":"Brey, M.K., Woodley, C.M., Stanton, J.C., Fritts, A.K., Sholtis, M., Castro-Santos, T., Vallazza, J.M., and Albers, J.L., 2023, Lock 19 underwater acoustic deterrent system study—Interim project update, through 2022: U.S. Geological Survey Open-File Report 2023–1058, 11 p., https://doi.org/10.3133/ofr20231058.","productDescription":"Report: vi, 11 p.; 2 Data Releases; Dataset","numberOfPages":"22","onlineOnly":"Y","ipdsId":"IP-153233","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":419707,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9HOPS3O","text":"USGS data release","linkHelpText":"2017–2018 telemetry data for Asian carp and native fish species at Lock and Dam 19 in the Upper Mississippi River Basin"},{"id":419706,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9PGL147","text":"USGS data release","linkHelpText":"Data release for Lock 19 underwater acoustic deterrent system (UADS) study—Interim project update"},{"id":419702,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1058/ofr20231058.pdf","text":"Report","size":"1.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023–1058"},{"id":419703,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1058/ofr20231058.XML"},{"id":419705,"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":419704,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1058/images"},{"id":419701,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1058/coverthb.jpg"},{"id":419720,"rank":8,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231058/full"}],"country":"United States","state":"Illinois, Iowa","otherGeospatial":"Lock 19","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -91.40921032418395,\n 40.41896333943944\n ],\n [\n -91.40921032418395,\n 40.368258319993515\n ],\n [\n -91.33577076429651,\n 40.368258319993515\n ],\n [\n -91.33577076429651,\n 40.41896333943944\n ],\n [\n -91.40921032418395,\n 40.41896333943944\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, Wisconsin 54603
Invasive carp (Hypophthalmichthys nobilis [Bighead Carp], Mylopharyngodon piceus [Black Carp], Ctenopharyngodon idella [Grass Carp], and H. molitrix [Silver Carp]) continue to spread in the United States and deterrents at river navigation locks are one emerging control strategy for slowing the spread. High-head navigation dams on large rivers serve as impediments to the upstream spread of these populations. One possible control technique is using a multimodal deterrent that utilizes a combination of lights, sound, and air bubbles to guide fish away from a location. Laboratory tests and small-scale field deployments of similar multi-stimuli deterrents have demonstrated potential for deterring invasive carp. These earlier studies led to the deployment and initiation of a field study of a multimodal deterrent in 2019 at the downstream lock approach at Barkley Lock and Dam on the Cumberland River near Grand Rivers, Kentucky. We are using two types of telemetry systems to evaluate how the multimodal deterrent affects movement and behavior of Silver Carp, Grass Carp, and four native species: Aplodinotus grunniens (Freshwater Drum), Polyodon spathula (Paddlefish), Ictiobus bubalus (Smallmouth Buffalo), and Acipenser fulvescens (Lake Sturgeon). We are evaluating fish movements in response to the multimodal deterrent by using a study design that cycles between 1 week with the multimodal deterrent on and 1 week with it off. This weekly cycling provides baseline comparisons across variable environmental conditions. When the multimodal deterrent is on, the number of Silver Carp completing upstream passage through Barkley Lock is reduced by about one-half. This study that began in 2019 can provide insights into the effectiveness of a multimodal deterrent for limiting upstream movement of invasive carp or effects on native fishes through strategic navigation locks on large rivers.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20231051","usgsCitation":"Fritts, A., Gibson-Reinemer, D., Stanton, J., Mosel, K., Brey, M., Vallazza, J., Appel, D., Faulkner, J., Tompkins, J., Castro-Santos, T., Sholtis, M., Turnpenny, A., Sorensen, P., and Simmonds, R., 2023, Multimodal invasive carp deterrent study at Barkley Lock and Dam—Status update through 2022: U.S. Geological Survey Open-File Report 2023–1051, 7 p., https://doi.org/10.3133/ofr20231051.","productDescription":"Report: vi, 7 p.; Data Release","numberOfPages":"18","onlineOnly":"Y","ipdsId":"IP-152060","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":419719,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20231051/full"},{"id":419570,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EKGK94","text":"USGS data release","linkHelpText":"Data release for multimodal invasive carp deterrent study at Barkley Lock and Dam—Status update through 2022"},{"id":419569,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2023/1051/images/"},{"id":419568,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2023/1051/ofr20231051.XML"},{"id":419567,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2023/1051/ofr20231051.pdf","text":"Report","size":"1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2023–1051"},{"id":419566,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2023/1051/coverthb.jpg"}],"country":"United States","state":"Kentucky","otherGeospatial":"Barkley Lock and Dam","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.06563176427669,\n 36.91369487844129\n ],\n [\n -88.06563176427669,\n 36.769782774646316\n ],\n [\n -87.88100333801793,\n 36.769782774646316\n ],\n [\n -87.88100333801793,\n 36.91369487844129\n ],\n [\n -88.06563176427669,\n 36.91369487844129\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, Wisconsin 54603
To effectively manage species and habitats at multiple scales, population and land managers require rapid information on wildlife use of managed areas and responses to landscape conditions and management actions. GPS tracking studies of wildlife are particularly informative to species ecology, habitat use, and conservation. Combining GPS data with administrative data and a diverse suite of remotely sensed, geo-referenced environmental (e.g., climatic) data, would more comprehensively inform how animals interact with and utilize habitats and ecosystems and our goal was to create a conceptual model for a system that would accomplish this – the ‘Automated Interactive Monitoring System (AIMS) for Wildlife’. Our objective for this study was to develop a Customized Wildlife Report (CWR) - the first AIMS for Wildlife deliverable product. CWRs collate and summarize our 8-year GPS tracking dataset of ∼11 million locations from 1338 individual (16 species) avifauna and make actionable, real-time data on animal movements and trends in a specific area of interest available to managers and stakeholders for rapid application in day-to-day management. The CWR exemplar presented in this paper was developed to address needs identified by habitat managers of Sacramento National Wildlife Refuge and illustrates the highly specific, information offered and how it contributes to assessing the efficacy of conservation actions while allowing for near real-time adaptive management. The report can be easily customized for any of the thousands of wildlife refuges or regional areas of interest in the United States, emphasizing the broad application of an animal movement data stream. Utilizing diverse, extensive telemetry data streams through scientific collaboration can aid managers and conservation stakeholders with short and long-term research and conservation planning and help address a cadre of issues from local-scale habitat management to improving the understanding of landscape level impacts like drought, wildfire, and climate change on wildlife populations.
The ability to effectively treat parasitic infestations of fish is of high importance for fish culture facilities. However, tools or approved therapies for treating infestations on fish are limited. This paper summarizes results from four separate clinical field studies that evaluated the efficacy of hydrogen peroxide (H2O2; 35% PEROX-AID) for reducing Gyrodactylus spp. infestation density.
Three species of Gyrodactylus were studied (G. salmonis, hosts: Brook Trout Salvelinus fontinalis and Lake Trout S. namaycush; G. freemani, host: Yellow Perch Perca flavescens; G. hoffmani, host: Fathead Minnow Pimephales promelas) before and after the application of immersion H2O2 therapy.
Parasite density was significantly reduced for each parasite × host combination to which H2O2 therapy was applied. Two clinical field studies in salmonids were found to demonstrate substantial effectiveness that enabled 35% PEROX-AID approval.
Further assessments of Gyrodactylus spp. could expand the use of H2O2 for controlling these parasites in aquaculture. Specifically, H2O2 was effective at all levels tested (50 or 75 mg H2O2/L for 60 min for the Yellow Perch and Fathead Minnow clinical field studies; 100 or 150 mg H2O2/L for 30 min regardless of salt pre-treatment for the Brook Trout study; and 100 mg H2O2/L for 30 min or 50 mg H2O2/L for 60 min for the Lake Trout study).
","language":"English","publisher":"American Fisheries Society","doi":"10.1002/aah.10179","usgsCitation":"Tuttle-Lau, M.T., Leis, E., Cupp, A.R., Peterman, L.L., Hebert, J., Erickson, R.A., Schleis, S.M., and Gaikowski, M., 2023, Efficacy of hydrogen peroxide to reduce Gyrodactylus species infestation density on four fish species: Journal of Aquatic Animal Health, v. 35, no. 2, p. 64-77, https://doi.org/10.1002/aah.10179.","productDescription":"14 p.","startPage":"64","endPage":"77","ipdsId":"IP-140025","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":498032,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/aah.10179","text":"Publisher Index Page"},{"id":419882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"2","noUsgsAuthors":false,"publicationDate":"2023-04-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Tuttle-Lau, Maren T.","contributorId":146196,"corporation":false,"usgs":false,"family":"Tuttle-Lau","given":"Maren","email":"","middleInitial":"T.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":880242,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leis, Eric","contributorId":179325,"corporation":false,"usgs":false,"family":"Leis","given":"Eric","affiliations":[],"preferred":false,"id":880243,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cupp, Aaron R. 0000-0001-5995-2100 acupp@usgs.gov","orcid":"https://orcid.org/0000-0001-5995-2100","contributorId":5162,"corporation":false,"usgs":true,"family":"Cupp","given":"Aaron","email":"acupp@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":880244,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Peterman, Laura Lynne 0000-0001-6976-4138","orcid":"https://orcid.org/0000-0001-6976-4138","contributorId":328472,"corporation":false,"usgs":true,"family":"Peterman","given":"Laura","email":"","middleInitial":"Lynne","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":880245,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hebert, Jillian 0000-0003-4893-8287","orcid":"https://orcid.org/0000-0003-4893-8287","contributorId":297917,"corporation":false,"usgs":false,"family":"Hebert","given":"Jillian","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":880246,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":880247,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schleis, Susan M. 0000-0002-9396-7856","orcid":"https://orcid.org/0000-0002-9396-7856","contributorId":298489,"corporation":false,"usgs":false,"family":"Schleis","given":"Susan","email":"","middleInitial":"M.","affiliations":[{"id":64592,"text":"former UMESC employee (retired)","active":true,"usgs":false}],"preferred":false,"id":880248,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gaikowski, Mark P. 0000-0002-6507-9341 mgaikowski@usgs.gov","orcid":"https://orcid.org/0000-0002-6507-9341","contributorId":149357,"corporation":false,"usgs":true,"family":"Gaikowski","given":"Mark P.","email":"mgaikowski@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":880249,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70247752,"text":"70247752 - 2023 - Becoming an actionable scientist: Challenges, competency, and the development of expertise","interactions":[],"lastModifiedDate":"2023-10-23T16:03:46.419134","indexId":"70247752","displayToPublicDate":"2023-08-11T06:44:08","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Becoming an actionable scientist: Challenges, competency, and the development of expertise","docAbstract":"Demand has grown for actionable science to support real-world decision-making around climate change and related environmental management challenges. Producing actionable science requires scientists to hold a distinct set of competencies, yet relatively little is known about what these competencies are or how to train scientists to develop them. We conducted interviews with mid- and late-career scientists to empirically identify competencies they used when producing actionable science and to understand how they developed those competencies. We describe expertise in terms of 18 competencies—categorised as cognitive, interpersonal, or intrapersonal—that scientists integrated and applied to address the challenges associated with actionable science. We argue that scientists must engage in the social process of producing actionable science (i.e., learning by doing) to become an expert. Expert actionable scientists discussed the importance of learning through different contexts, processes, interactions, and relationships. By naming the competencies that constitute expertise, as well as methods for expertise development, our findings facilitate greater conscious awareness of the process of becoming an actionable scientist, a gradual process that starts during graduate training and continues as a career proceeds. Our results can inform the development of formal learning opportunities as well as the informal learning process that occurs whereby scientists take charge of their own learning.
The allometric scaling of predators and their prey is well established within snakes (i.e., gape-width limits maximum prey sizes). However, while some species exhibit ontogenetic shifts to larger prey as they grow, others exhibit telescoping prey selection and continue to consume small prey in addition to larger prey. The Burmese python (Python bivittatus) is a large dietary generalist constrictor native to Southeast Asia that is established in South Florida (USA). As part of survey efforts at the southern invasion front in the Florida Keys, we used camera traps to document predation on endangered Key Largo cotton mice (Peromyscus gossypinus allapaticola) by an adult female Burmese python. These images represent the first photo documentation of predation attempts upon a federally endangered species in the python's invasive range, but we note three additional instances of Key Largo cotton mice in the gut contents of euthanized pythons from Key Largo. These observations suggest Burmese pythons exhibit telescoping prey selection behavior where even small rodents (<30 g) are viable prey for adult snakes. However, based on the number of documented strikes with failed predation events and low frequency of occurrence in gut contents, we suspect mice may be less common prey items for adult (i.e., >185 cm SVL) pythons relative to cotton mouse abundance in the environment. However, we also documented endangered Key Largo woodrats (Neotoma floridana smalli) and Key Largo cotton mice collecting and consuming the shed skins of pythons, which suggests the two rodent species remain naïve to the threat of these invasive predators. Further understanding of the impact of Burmese pythons on native prey communities can help inform efforts to minimize biodiversity loss along their invasion fronts.
Dam removal is used increasingly to restore aquatic ecosystems and remove unnecessary or high-risk infrastructure. As the number of removals increases, there is a growing understanding about the hydrologic, geomorphic, and ecological responses to these removals. Most dam removal studies, however, focus on river and watershed responses to dam removal. The removal of two dams on the Elwha River provided a unique opportunity to characterize the response of nearshore (coastal) ecosystems. We conducted SCUBA surveys between 2011 and 2022 to quantify trajectories of change in a nearshore ecosystem during and after dam removal. We focused on the degree to which the abundances of kelp, benthic invertebrates, and fish changed in response to patterns of sediment fluxes during and after dam removal. Our findings point to two pathways of response depending on the disturbance mechanism and species type. Sites with persistent sediment deposition were characterized by wholesale community changes that did not recover to a before dam removal condition. Instead, the sites were colonized by new species that were largely absent prior to dam removal. Sites that experienced high turbidity but lacked persistent seafloor deposition were primarily characterized by a reduction in the abundance of kelp and other algae during dam removal and a rapid recovery after sediment flux to the nearshore declined. Dam removal influences on invertebrates and fish at these sites were more variable, benefiting some species and disadvantaging others. In addition to dam removal, sea star wasting syndrome and a marine heatwave exerted distinct controls on subtidal communities during the same period. The loss of the predatory sea star Pycnopodia helianthoides was associated with gains in some of its prey species, and kelp community changes reflected regional trends in ocean temperature and kelp abundance. The results presented here have important implications for understanding the response of marine ecosystems to future dam removals and similar sediment perturbation events.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fevo.2023.1233895","usgsCitation":"Rubin, S.P., Foley, M.M., Miller, I.M., Stevens, A.W., Warrick, J.A., Berry, H.D., Elder, N.E., Beirne, M.M., and Gelfenbaum, G., 2023, Nearshore subtidal community response during and after sediment disturbance associated with dam removal: Frontiers in Ecology and Evolution, v. 11, 1233895, 21 p., https://doi.org/10.3389/fevo.2023.1233895.","productDescription":"1233895, 21 p.","ipdsId":"IP-154198","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":442454,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fevo.2023.1233895","text":"Publisher Index Page"},{"id":435228,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NCE4FE","text":"USGS data release","linkHelpText":"Data collected in 2008-2022 to assess nearshore subtidal community responses to increased sediment load during and after removal of the Elwha River dams, Washington State, USA"},{"id":419893,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Elwha River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.64559337334515,\n 48.17724752109595\n ],\n [\n -123.64559337334515,\n 48.10852819867637\n ],\n [\n -123.28530398109407,\n 48.109136793757074\n ],\n [\n -123.28530398109407,\n 48.1754242218\n ],\n [\n -123.64559337334515,\n 48.17724752109595\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2023-08-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Rubin, Stephen P. 0000-0003-3054-7173","orcid":"https://orcid.org/0000-0003-3054-7173","contributorId":38037,"corporation":false,"usgs":true,"family":"Rubin","given":"Stephen","email":"","middleInitial":"P.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":880419,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Foley, Melissa M.","contributorId":316727,"corporation":false,"usgs":false,"family":"Foley","given":"Melissa","email":"","middleInitial":"M.","affiliations":[{"id":12703,"text":"San Francisco Estuary Institute","active":true,"usgs":false}],"preferred":false,"id":880420,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Miller, Ian M. 0000-0002-3289-6337","orcid":"https://orcid.org/0000-0002-3289-6337","contributorId":41951,"corporation":false,"usgs":false,"family":"Miller","given":"Ian","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":880421,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stevens, Andrew W. 0000-0003-2334-129X astevens@usgs.gov","orcid":"https://orcid.org/0000-0003-2334-129X","contributorId":139313,"corporation":false,"usgs":true,"family":"Stevens","given":"Andrew","email":"astevens@usgs.gov","middleInitial":"W.","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":880422,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Warrick, Jonathan A. 0000-0002-0205-3814 jwarrick@usgs.gov","orcid":"https://orcid.org/0000-0002-0205-3814","contributorId":167736,"corporation":false,"usgs":true,"family":"Warrick","given":"Jonathan","email":"jwarrick@usgs.gov","middleInitial":"A.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":880423,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berry, Helen D.","contributorId":201148,"corporation":false,"usgs":false,"family":"Berry","given":"Helen","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":880424,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Elder, Nancy E. 0000-0001-8448-0125","orcid":"https://orcid.org/0000-0001-8448-0125","contributorId":316726,"corporation":false,"usgs":false,"family":"Elder","given":"Nancy","email":"","middleInitial":"E.","affiliations":[{"id":68684,"text":"Previously USGS-Western Fisheries Research Center, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":880425,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Beirne, Matthew M.","contributorId":194429,"corporation":false,"usgs":false,"family":"Beirne","given":"Matthew","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":880426,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Gelfenbaum, Guy 0000-0003-1291-6107","orcid":"https://orcid.org/0000-0003-1291-6107","contributorId":217328,"corporation":false,"usgs":true,"family":"Gelfenbaum","given":"Guy","affiliations":[],"preferred":true,"id":880427,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70251835,"text":"70251835 - 2023 - Comment on \"Multi-Event explosive seismic source for the 2022 Mw 6.3 Hunga Tonga submarine volcanic eruption\" by Julien Thurin, Carl Tape, and Ryan Modrak","interactions":[],"lastModifiedDate":"2024-03-04T17:17:06.606966","indexId":"70251835","displayToPublicDate":"2023-08-10T11:09:07","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10542,"text":"The Seismic Record","active":true,"publicationSubtype":{"id":10}},"title":"Comment on \"Multi-Event explosive seismic source for the 2022 Mw 6.3 Hunga Tonga submarine volcanic eruption\" by Julien Thurin, Carl Tape, and Ryan Modrak","docAbstract":"No abstract available.
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The Lake Erie population of Silver Chub Macrhybopsis storeriana struggles to sustain itself in a habitat disturbed by a wide spectrum of anthropogenic factors. Application of multiple model predictions can provide indications of conservation or restoration opportunities for this species.
A combination of models that predict the best potential for Lake Erie habitat to support Silver Chub and the effects of anthropogenic disturbances on that population were used to identify habitat conditions throughout the western aquatic lake unit.
As many as 76 combinations of best habitat potential and disturbance conditions were present, but the best opportunities occurred in <12% of the study area. Some of the best protection opportunities were farthest offshore, and extensive areas of least disturbed habitat for restoration were near the southern and western shores. The location-specific model predictions provide fine-scale decision support for Silver Chub habitat protection or restoration.
The approach applied here may help identify compatibilities among species to achieve the desirable fish community for Lake Erie and reconcile conflicting management actions.
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Engineering","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of hydrodynamic mixing in an afterbay reservoir","docAbstract":"This study focused on the mixing of a solute, assumed to be conservative, introduced to one arm of an afterbay reservoir, between Keswick and Shasta Dams on the Sacramento River near Redding, California. Rhodamine water tracer (WT) dye served as the solute in a field experiment, and was introduced over 4.5 h and monitored for 4 days by sondes moored in the reservoir. The scenario was modeled numerically using the Delft3D flexible mesh (FM) hydrodynamic and mixing model, with measured inflows, outflows, water level, water temperatures, and bathymetry as input. Manning’s
The occurrence of pharmaceutical compounds (hereinafter referred to as “pharmaceuticals”) in surface water that recharges the San Antonio segment of the Edwards aquifer in south-central Texas is of concern with respect to potential effects on groundwater quality. This study, conducted during June 2018–August 2020 by the U.S. Geological Survey in cooperation with the San Antonio Water System, used a source-to-sink approach (that is, from aquifer recharge to aquifer discharge) to compare the occurrences and concentrations of pharmaceuticals in recharging (losing) streams to those in relatively shallow and relatively deep groundwater. Individual pharmaceutical concentrations in surface water were all less than 200 nanograms per liter, and most were less than 50 nanograms per liter. The two most common pharmaceuticals in surface water were metformin (50-percent detection frequency) and caffeine (25-percent detection frequency). In contrast to surface-water sites, few detections of pharmaceuticals above the detection limit were quantified at groundwater sites. On the basis of studied sample sites that are considered to be representative of the Edwards aquifer recharge zone, groundwater results collectively indicate that pharmaceuticals currently (2020) do not substantially impair water quality in the shallow unconfined part of the Edwards aquifer. Although groundwater pharmaceutical detections were not common, two detections of acetaminophen occurred in samples collected from a relatively deep confined part of the aquifer, indicating that this part of the aquifer is potentially vulnerable to pharmaceutical contamination. The near absence of wastewater treatment plant discharges and Texas Land Application Permit facilities within the drainage areas of streams in this study could explain reduced inputs of pharmaceuticals relative to pesticides on the Edwards aquifer recharge zone and their reduced occurrence in unconfined groundwater. In the western part of the study area, numerous pharmaceutical detections in the Frio River indicate that pharmaceutical sources in rural areas also exist with potential water-quality effects. Although reported pharmaceutical concentrations for the San Antonio segment of the Edwards aquifer are currently (2020) low, ongoing development in the region has the potential to increase contaminant loads, including for pharmaceuticals.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20235069","issn":"2328-0328","collaboration":"Prepared in cooperation with the San Antonio Water System","usgsCitation":"Opsahl, S.P., and Musgrove, M., 2023, Occurrence of pharmaceutical compounds in the San Antonio segment of the Edwards (Balcones fault zone) aquifer, south-central Texas, June 2018–August 2020: U.S. Geological Survey Scientific Investigations Report 2023–5069, 31 p., https://doi.org/10.3133/sir20235069.","productDescription":"Report: vi, 31 p.; Dataset","numberOfPages":"42","onlineOnly":"Y","ipdsId":"IP-135756","costCenters":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":419667,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20235069/full","description":"SIR 2023-5069 HTML"},{"id":419601,"rank":6,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","text":"USGS water data for the Nation—U.S. Geological Survey National Water Information System database"},{"id":419599,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2023/5069/sir20235069.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2023-5069 XML"},{"id":419598,"rank":2,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2023/5069/images"},{"id":419546,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2023/5069/coverthb.jpg"},{"id":419547,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2023/5069/sir20235069.pdf","size":"8.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2023-5069"}],"country":"United States","state":"Texas","otherGeospatial":"Edwards aquifer","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -97.96490888716819,\n 30.162167400384334\n ],\n [\n -100.55099171184453,\n 30.162167400384334\n ],\n [\n -100.55099171184453,\n 28.99078942671082\n ],\n [\n -97.96490888716819,\n 28.99078942671082\n ],\n [\n -97.96490888716819,\n 30.162167400384334\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Director, Oklahoma-Texas Water Science Center
U.S. Geological Survey
1505 Ferguson Lane
Austin, TX 78754–4501