{"pageNumber":"226","pageRowStart":"5625","pageSize":"25","recordCount":184717,"records":[{"id":70251252,"text":"70251252 - 2023 - Browsing the literature","interactions":[],"lastModifiedDate":"2024-01-31T15:55:31.519107","indexId":"70251252","displayToPublicDate":"2023-11-29T09:55:04","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3230,"text":"Rangelands","active":true,"publicationSubtype":{"id":10}},"title":"Browsing the literature","docAbstract":"

No abstract available.

","language":"English","publisher":"Society for Range Management","doi":"10.1016/j.rala.2023.11.003","usgsCitation":"Germino, M., 2023, Browsing the literature: Rangelands, v. 45, no. 6, p. 135-137, https://doi.org/10.1016/j.rala.2023.11.003.","productDescription":"3 p.","startPage":"135","endPage":"137","ipdsId":"IP-159368","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":425149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Germino, Matthew J. 0000-0001-6326-7579","orcid":"https://orcid.org/0000-0001-6326-7579","contributorId":251901,"corporation":false,"usgs":true,"family":"Germino","given":"Matthew J.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":893657,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70251314,"text":"70251314 - 2023 - Long-term biocrust responses to wildfires in Washington, USA","interactions":[],"lastModifiedDate":"2024-02-03T14:28:21.061054","indexId":"70251314","displayToPublicDate":"2023-11-29T08:24:34","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":724,"text":"American Journal of Botany","active":true,"publicationSubtype":{"id":10}},"title":"Long-term biocrust responses to wildfires in Washington, USA","docAbstract":"

Premise

Dryland ecosystems in the western United States are affected by invasive species, wildfires, livestock grazing, and climate change in ways that are difficult to distinguish. Biocrusts perform important ecological roles in these systems and are sensitive to all of these pressures.

Methods

We revisited a Washington, USA, site sampled for biocrusts in 1999 to focus on effects of exotic annual grass invasion and wildfires in the absence of livestock grazing. We examined changes between 1999 and 2020 using a Bayesian directed acyclic graph (DAG) to interpret direct and indirect causal impacts of wildfire on perennial bunchgrasses, exotic annual grasses, and biocrusts.

Results

Between 1999 and 2020, exotic annual grass cover increased in all plots and in unburned plots by 16% and 18%, respectively, bunchgrass cover decreased by 21% and 25%, and biocrust cover decreased by 8.9% and 9.8%. Our DAG suggested that decreases in bunchgrass increased exotic annual grass, which reduced biocrust cover. Wildfires did not directly influence changes in bunchgrass, exotic annual grass, or biocrust cover. Areas dominated by exotic annual grass had less abundant and diverse biocrusts than areas with less exotic annual grass.

Conclusions

Biocrust community changes were more strongly related to increasing exotic annual grasses than to wildfires. Changes may relate to other soil disturbances or broad-scale changes in climate or air quality. The minimal influence of wildfire on exotic annual grass and biocrusts suggests that apparent negative impacts of wildfire at other sites may be due to exacerbation by livestock grazing or other surface disturbance.

","language":"English","publisher":"Wiley","doi":"10.1002/ajb2.16261","usgsCitation":"Root, H.T., Chan, J., Ponzetti, J.M., Pyke, D.A., and McCune, B., 2023, Long-term biocrust responses to wildfires in Washington, USA: American Journal of Botany, v. 110, no. 12, e16261, https://doi.org/10.1002/ajb2.16261.","productDescription":"e16261","ipdsId":"IP-153752","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":499287,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ajb2.16261","text":"Publisher Index Page"},{"id":425360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"110","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-12-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Root, Heather T.","contributorId":333826,"corporation":false,"usgs":false,"family":"Root","given":"Heather","email":"","middleInitial":"T.","affiliations":[{"id":78358,"text":"Weber State University","active":true,"usgs":false}],"preferred":false,"id":894001,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chan, Julian","contributorId":333827,"corporation":false,"usgs":false,"family":"Chan","given":"Julian","email":"","affiliations":[{"id":78358,"text":"Weber State University","active":true,"usgs":false}],"preferred":false,"id":894002,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ponzetti, Jeanne M","contributorId":328413,"corporation":false,"usgs":false,"family":"Ponzetti","given":"Jeanne","email":"","middleInitial":"M","affiliations":[{"id":37275,"text":"none","active":true,"usgs":false}],"preferred":false,"id":894003,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pyke, David A. 0000-0002-4578-8335 david_a_pyke@usgs.gov","orcid":"https://orcid.org/0000-0002-4578-8335","contributorId":3118,"corporation":false,"usgs":true,"family":"Pyke","given":"David","email":"david_a_pyke@usgs.gov","middleInitial":"A.","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":894004,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCune, Bruce","contributorId":149054,"corporation":false,"usgs":false,"family":"McCune","given":"Bruce","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":894005,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250284,"text":"70250284 - 2023 - Climate change impacts on bird migration and highly pathogenic avian influenza","interactions":[],"lastModifiedDate":"2023-12-01T13:25:17.798376","indexId":"70250284","displayToPublicDate":"2023-11-29T07:24:21","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5843,"text":"Nature Microbiology","onlineIssn":"2058-5276","active":true,"publicationSubtype":{"id":10}},"title":"Climate change impacts on bird migration and highly pathogenic avian influenza","docAbstract":"

The unprecedented extent of highly pathogenic avian influenza coincides with intensifying global climate changes that alter host ecology and physiology, and could impact virus evolution and dynamics.

","language":"English","publisher":"Nature","doi":"10.1038/s41564-023-01538-0","usgsCitation":"Prosser, D., Teitelbaum, C., Yin, S., Hill, N.J., and Xiao, X., 2023, Climate change impacts on bird migration and highly pathogenic avian influenza: Nature Microbiology, v. 8, p. 2223-2225, https://doi.org/10.1038/s41564-023-01538-0.","productDescription":"3 p.","startPage":"2223","endPage":"2225","ipdsId":"IP-156469","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":423146,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","noUsgsAuthors":false,"publicationDate":"2023-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Prosser, Diann 0000-0002-5251-1799","orcid":"https://orcid.org/0000-0002-5251-1799","contributorId":217931,"corporation":false,"usgs":true,"family":"Prosser","given":"Diann","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":889283,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Teitelbaum, Claire S.","contributorId":174360,"corporation":false,"usgs":false,"family":"Teitelbaum","given":"Claire S.","affiliations":[{"id":27439,"text":"Senckenberg Biodiversity and Climate Research Centre","active":true,"usgs":false}],"preferred":false,"id":889284,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yin, Shenglai","contributorId":223544,"corporation":false,"usgs":false,"family":"Yin","given":"Shenglai","email":"","affiliations":[{"id":37803,"text":"Wageningen University","active":true,"usgs":false}],"preferred":false,"id":889285,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hill, Nichola J.","contributorId":189563,"corporation":false,"usgs":false,"family":"Hill","given":"Nichola","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":889286,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xiao, Xiangming","contributorId":181792,"corporation":false,"usgs":false,"family":"Xiao","given":"Xiangming","email":"","affiliations":[],"preferred":false,"id":889287,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250411,"text":"70250411 - 2023 - U.S. Geological Survey Core Research Center: A gateway to subsurface discovery for geoscience research","interactions":[],"lastModifiedDate":"2023-12-08T13:16:47.447012","indexId":"70250411","displayToPublicDate":"2023-11-29T07:15:47","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1791,"text":"Geological Society, London, Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"U.S. Geological Survey Core Research Center: A gateway to subsurface discovery for geoscience research","docAbstract":"

The U.S. Geological Survey (USGS) operates the Core Research Center (CRC) in Denver, Colorado, USA, a public access repository of rock cores from over 9800 wells and drill cuttings from over 53 000 wells, primarily from states in or adjacent to the Rocky Mountain Region. Annually, approximately 1400 visitors use the collection for traditional and innovative research.


The CRC has an online, searchable database which includes downloadable core photos, analytical data, and thin-section images. When visitors sample for analyses, the results must be returned to the CRC for public dissemination providing immediate, free access to users while sparing the finite, irreplaceable collection from redundant testing. A representative quantity of every core depth is preserved in perpetuity.


Studies on CRC materials, paired with new extraction methods, have unlocked new productive deposits. Materials drilled and curated decades ago remain in high demand while materials receiving little attention today may be crucial for future research.


The collection provides immediate, inexpensive access to subsurface materials at a fraction of the cost of new drilling, sparing money, time and environmental impacts.

","language":"English","publisher":"Geological Society, London","doi":"10.1144/sp527-2021-194","usgsCitation":"Honey, J., and Ivis, D.O., 2023, U.S. Geological Survey Core Research Center: A gateway to subsurface discovery for geoscience research: Geological Society, London, Special Publications, v. 527, no. 1, p. 355-363, https://doi.org/10.1144/sp527-2021-194.","productDescription":"9 p.","startPage":"355","endPage":"363","ipdsId":"IP-135518","costCenters":[{"id":207,"text":"Core Research Center","active":true,"usgs":true}],"links":[{"id":423326,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.67138671875,\n 54.686534234529695\n ],\n [\n -129.9462890625,\n 55.36662484928637\n ],\n [\n -130.1220703125,\n 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First evaluation of growth and mortality in crayfish internally tagged with p-Chips","interactions":[],"lastModifiedDate":"2024-08-05T21:59:19.66848","indexId":"70256464","displayToPublicDate":"2023-11-28T16:57:14","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2235,"text":"Journal of Crustacean Biology","active":true,"publicationSubtype":{"id":10}},"title":"The smaller, the better? First evaluation of growth and mortality in crayfish internally tagged with p-Chips","docAbstract":"

Small-bodied aquatic animals present a challenge to researchers seeking to uniquely mark individuals for scientific study. Microtransponder tags, such as p-Chips, represent the smallest electronic animal tags available to meet this need. The use of p-Chips to tag freshwater crayfishes, however, has not been explored. The goal of this study, therefore, was to determine the effects of p-Chip tagging on growth and survival of crayfishes in a controlled laboratory environment. We also investigated potential influences from variables such as sex, reproductive form, number of molt events, and crayfish size on mortality. We internally tagged individuals of the woodland crayfish Faxonius hylas (Faxon, 1890) (12.2–26.6 mm carapace length; CL) with either one p-Chip (single-tag) or one p-Chip and one visual implant elastomer tag (double-tagged) and observed the effects over a period of 90 days. Survival probability over time was not statistically different (P > 0.05) among tagging groups, sex, and reproductive form. Survival rates were similar across all tagging groups, with 75% in the control group, 77% in the double-tagged group, and 78% in the single-tag group. A strong correlation, however, was observed between survival and the number of molt events. Additionally, there was a negative correlation between survival and crayfish size (CL), indicating a higher risk of mortality for larger individuals. There were no statistically significant differences in growth in CL (P = 0.30) or mass (P = 0.19) among the tagging groups. We conclude that p-Chips are a viable tagging option for the study of crayfishes given their size, readability, and retention through molting cycles. We recommend that future studies repeat this experiment using smaller individuals to determine the minimum crayfish size compatible with p-Chip tagging. It is also important to test p-Chips with other crayfish species and compare the growth and mortality of crayfish tagged with p-Chips in natural habitats.

","language":"English","publisher":"Oxford Academic","doi":"10.1093/jcbiol/ruad071","usgsCitation":"Huber, A.F., Fitzsimmons, W.A., and Westhoff, J.T., 2023, The smaller, the better? First evaluation of growth and mortality in crayfish internally tagged with p-Chips: Journal of Crustacean Biology, v. 43, no. 4, ruad071, 10 p., https://doi.org/10.1093/jcbiol/ruad071.","productDescription":"ruad071, 10 p.","ipdsId":"IP-155252","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":441535,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1093/jcbiol/ruad071","text":"Publisher Index Page"},{"id":432244,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"43","issue":"4","noUsgsAuthors":false,"publicationDate":"2023-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Huber, Augusto F.","contributorId":340734,"corporation":false,"usgs":false,"family":"Huber","given":"Augusto","email":"","middleInitial":"F.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":907492,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzsimmons, Wesley A.","contributorId":340735,"corporation":false,"usgs":false,"family":"Fitzsimmons","given":"Wesley","email":"","middleInitial":"A.","affiliations":[{"id":6754,"text":"University of Missouri","active":true,"usgs":false}],"preferred":false,"id":907493,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Westhoff, Jacob Thomas 0000-0002-2347-5098","orcid":"https://orcid.org/0000-0002-2347-5098","contributorId":288958,"corporation":false,"usgs":true,"family":"Westhoff","given":"Jacob","email":"","middleInitial":"Thomas","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":907494,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70250098,"text":"tm9A6.8 - 2023 - Use of multiparameter instruments for routine field measurements","interactions":[{"subject":{"id":70203116,"text":"twri09A6.8 - 2012 - Chapter A6. Section 6.8. Use of multiparameter instruments for routine field measurements","indexId":"twri09A6.8","publicationYear":"2012","noYear":false,"displayTitle":"Chapter A6. Section 6.8. Use of Multiparameter Instruments for Routine Field Measurements","title":"Chapter A6. Section 6.8. Use of multiparameter instruments for routine field measurements"},"predicate":"SUPERSEDED_BY","object":{"id":70250098,"text":"tm9A6.8 - 2023 - Use of multiparameter instruments for routine field measurements","indexId":"tm9A6.8","publicationYear":"2023","noYear":false,"title":"Use of multiparameter instruments for routine field measurements"},"id":1}],"lastModifiedDate":"2025-06-12T20:22:13.722522","indexId":"tm9A6.8","displayToPublicDate":"2023-11-28T15:15:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":335,"text":"Techniques and Methods","code":"TM","onlineIssn":"2328-7055","printIssn":"2328-7047","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"9-A6.8","displayTitle":"Use of Multiparameter Instruments for Routine Field Measurements","title":"Use of multiparameter instruments for routine field measurements","docAbstract":"

The “National Field Manual for the Collection of Water-Quality Data” (NFM) provides guidelines and procedures for U.S. Geological Survey (USGS) personnel who collect data used to assess the quality of the Nation’s surface-water and groundwater resources. This chapter, NFM A6.8, provides guidance and protocols for the use of multiparameter instruments for routine field measurements, which includes storage and maintenance of equipment, calibration, troubleshooting, and procedures for measurement and reporting. It updates and supersedes USGS Techniques of Water-Resources Investigations, book 9, chapter A6.8, version 1.1, by Jacob Gibs, Franceska D. Wilde, and Heather A. Heckathorn. The use of multiparameter instruments for conducting field measurements has become routine. The methods described here are specific to the use of multiparameter instruments. The field methods described in this chapter are applicable to most natural waters.

Before 2017, the NFM chapters were released in the USGS Techniques of Water-Resources Investigations series. Effective in 2018, new and revised NFM chapters are being released in the USGS Techniques and Methods series; this series change does not affect the content and format of the NFM. More information is in the general introduction to the NFM (USGS Techniques and Methods, book 9, chapter A0) at https://doi.org/10.3133/tm9A0. The authoritative current versions of NFM chapters are available in the USGS Publications Warehouse at https://pubs.er.usgs.gov/. Comments, questions, and suggestions related to the NFM can be addressed to nfm@usgs.gov.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/tm9A6.8","usgsCitation":"U.S. Geological Survey, 2023, Use of multiparameter instruments for routine field measurements (ver. 1.1, June 2025): U.S. Geological Survey Techniques and Methods, book 9, chap. A6.8, 13 p., https://doi.org/10.3133/tm9A6.8. [Supersedes USGS Techniques of Water-Resources Investigations, book 9, chap. A6.8, version 1.1; and USGS Techniques and Methods, book 9, chap. A6.8, version 1.0.]","productDescription":"v, 13 p.","numberOfPages":"13","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-118565","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"links":[{"id":489432,"rank":7,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/tm/09/a6.8/tm9a6.8.XML","linkFileType":{"id":8,"text":"xml"},"description":"T&M 9-A6.8 XML"},{"id":489431,"rank":6,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/tm9A6.8/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"T&M 9-A6.8 HTML"},{"id":422959,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/tm9A0","text":"Techniques and Methods 9-A0","linkHelpText":"- General introduction for the “National Field Manual for the Collection of Water-Quality Data”"},{"id":422687,"rank":4,"type":{"id":18,"text":"Project Site"},"url":"https://www.usgs.gov/mission-areas/water-resources/science/national-field-manual-collection-water-quality-data-nfm","text":"National Field Manual for the Collection of Water-Quality Data (NFM)"},{"id":489433,"rank":8,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/tm/09/a6.8/images/"},{"id":422685,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/tm/09/a6.8/versionHist.txt","size":"3.97 KB","linkFileType":{"id":2,"text":"txt"},"description":"T&M 9-A6.8 version history"},{"id":422684,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/tm/09/a6.8/tm9a6.8.pdf","text":"Report","size":"687 KB","linkFileType":{"id":1,"text":"pdf"},"description":"T&M 9-A6.8"},{"id":422683,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/tm/09/a6.8/coverthb2.jpg"}],"edition":"Version 1.0: November 28, 2023; Version 1.1: June 12, 2025","contact":"

Water Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

Email: nfm@usgs.gov

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2023-11-28","revisedDate":"2025-06-12","noUsgsAuthors":false,"publicationDate":"2023-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":152492,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":888329,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70250153,"text":"gip227 - 2023 - New England Water Science Center—Bringing quality and reliable water science to New England","interactions":[],"lastModifiedDate":"2023-11-29T01:01:41.271554","indexId":"gip227","displayToPublicDate":"2023-11-28T13:20:00","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"227","displayTitle":"New England Water Science Center—Bringing Quality and Reliable Water Science to New England","title":"New England Water Science Center—Bringing quality and reliable water science to New England","docAbstract":"The U.S. Geological Survey (USGS) New England Water Science Center provides timely and reliable information to Federal, State, Tribal, and local stakeholders on the water resources of Connecticut, Maine, Massachusetts, New Hampshire, Rhode Island, and Vermont. This information product broadly describes the center’s research priorities and monitoring network and how its work benefits the public and environment.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip227","usgsCitation":"Rossos, K., 2023, New England Water Science Center—Bringing quality and reliable water science to New England: U.S. Geological Survey General Information Product 227, 1 p., https://doi.org/10.3133/gip227.","productDescription":"1 p.","numberOfPages":"1","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-157069","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"links":[{"id":422977,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/gip/227/gip227_print.pdf","text":"PDF optimized for printing","size":"1.49 MB"},{"id":422848,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/gip/227/images/"},{"id":422847,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/gip/227/gip227.XML"},{"id":422846,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/gip227/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"GIP 227"},{"id":422845,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/227/gip227.pdf","text":"Report","size":"1.72 MB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 227"},{"id":422844,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/227/coverthb.jpg"}],"country":"United States","state":"Connecticut, Maine, Massachusetts, New Hampshire, Vermont","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.9766341462254,\n 45.282328956258226\n ],\n [\n -74.19636070872549,\n 40.15337389935635\n ],\n [\n -71.33991539622544,\n 40.88829126584898\n ],\n [\n -69.5381575837254,\n 41.87743657809517\n ],\n [\n -66.68171227122534,\n 44.5040492508908\n ],\n [\n -67.0772200837256,\n 45.375014720313544\n ],\n [\n -67.42878258372544,\n 46.6265251987532\n ],\n [\n -67.56061852122568,\n 47.25658613739171\n ],\n [\n -68.39557945872559,\n 47.67250995928134\n ],\n [\n -69.66999352122565,\n 47.52434349852143\n ],\n [\n -70.6367903962253,\n 46.29353264069857\n ],\n [\n -71.33991539622544,\n 45.46754882214901\n ],\n [\n -72.21882164622578,\n 45.22045418725463\n ],\n [\n -73.9766341462254,\n 45.282328956258226\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

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

","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2023-11-28","noUsgsAuthors":false,"publicationDate":"2023-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Rossos, Katrina 0000-0002-3819-4344","orcid":"https://orcid.org/0000-0002-3819-4344","contributorId":331723,"corporation":false,"usgs":true,"family":"Rossos","given":"Katrina","email":"","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":888587,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70250805,"text":"70250805 - 2023 - Practical guide to measuring wetland carbon pools and fluxes","interactions":[],"lastModifiedDate":"2024-01-08T17:36:42.174027","indexId":"70250805","displayToPublicDate":"2023-11-28T07:39:42","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3750,"text":"Wetlands","onlineIssn":"1943-6246","printIssn":"0277-5212","active":true,"publicationSubtype":{"id":10}},"title":"Practical guide to measuring wetland carbon pools and fluxes","docAbstract":"

Wetlands cover a small portion of the world, but have disproportionate influence on global carbon (C) sequestration, carbon dioxide and methane emissions, and aquatic C fluxes. However, the underlying biogeochemical processes that affect wetland C pools and fluxes are complex and dynamic, making measurements of wetland C challenging. Over decades of research, many observational, experimental, and analytical approaches have been developed to understand and quantify pools and fluxes of wetland C. Sampling approaches range in their representation of wetland C from short to long timeframes and local to landscape spatial scales. This review summarizes common and cutting-edge methodological approaches for quantifying wetland C pools and fluxes. We first define each of the major C pools and fluxes and provide rationale for their importance to wetland C dynamics. For each approach, we clarify what component of wetland C is measured and its spatial and temporal representativeness and constraints. We describe practical considerations for each approach, such as where and when an approach is typically used, who can conduct the measurements (expertise, training requirements), and how approaches are conducted, including considerations on equipment complexity and costs. Finally, we review key covariates and ancillary measurements that enhance the interpretation of findings and facilitate model development. The protocols that we describe to measure soil, water, vegetation, and gases are also relevant for related disciplines such as ecology. Improved quality and consistency of data collection and reporting across studies will help reduce global uncertainties and develop management strategies to use wetlands as nature-based climate solutions.

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The melt composition and temperature, depth at which degassing occurs, extent of gas-water-rock interactions, and volume of ascending magma are all factors that determine the composition and rate of gas emissions at the surface. Interpreted in a petrological framework, gas measurements thus provide information on these fundamental parameters of volcanic systems. Volcanic gases have traditionally been sampled in the field and later analyzed with standard laboratory methods, but remote sensing measurements are playing an increasingly central role in characterizing emissions and the volcanoes from which they originate. The 17 contributions in this Research Topic summarize the state-of-the-art in volcanic gas remote sensing and identify key areas in which the field could further improve our understanding of global volcanism and its impact on Earth’s environment in the next decade.","language":"English","publisher":"Frontiers","doi":"10.3389/feart.2023.1340395","usgsCitation":"Kern, C., Arellano, S., Campion, R., Hidalgo, S., and Kazahaya, R., 2023, Editorial: Remote sensing of volcanic gas emissions from the ground, air, and space: Frontiers in Earth Science, v. 11, 1340395, 4 p., https://doi.org/10.3389/feart.2023.1340395.","productDescription":"1340395, 4 p.","ipdsId":"IP-158987","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":441541,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/feart.2023.1340395","text":"Publisher Index Page"},{"id":423040,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","noUsgsAuthors":false,"publicationDate":"2023-11-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Kern, Christoph 0000-0002-8920-5701 ckern@usgs.gov","orcid":"https://orcid.org/0000-0002-8920-5701","contributorId":3387,"corporation":false,"usgs":true,"family":"Kern","given":"Christoph","email":"ckern@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":888980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Arellano, Santiago","contributorId":205719,"corporation":false,"usgs":false,"family":"Arellano","given":"Santiago","affiliations":[{"id":37153,"text":"Department of Earth and Space Sciences – Chalmers University of Technology, Göteborg, Sweden","active":true,"usgs":false}],"preferred":false,"id":888981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Campion, Robin","contributorId":148070,"corporation":false,"usgs":false,"family":"Campion","given":"Robin","email":"","affiliations":[{"id":16993,"text":"Instituto de Geofisica, Universidad Nacional Autónoma de México","active":true,"usgs":false}],"preferred":false,"id":888982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hidalgo, Silvana","contributorId":178530,"corporation":false,"usgs":false,"family":"Hidalgo","given":"Silvana","affiliations":[],"preferred":false,"id":888983,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kazahaya, Ryunosuke","contributorId":331867,"corporation":false,"usgs":false,"family":"Kazahaya","given":"Ryunosuke","email":"","affiliations":[{"id":27746,"text":"Geological Survey of Japan","active":true,"usgs":false}],"preferred":false,"id":888984,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250206,"text":"70250206 - 2023 - At what scales does a river meander? Scale-specific sinuosity (S3) metric for quantifying stream meander size distribution","interactions":[],"lastModifiedDate":"2023-11-28T12:55:24.267682","indexId":"70250206","displayToPublicDate":"2023-11-28T06:52:19","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"At what scales does a river meander? Scale-specific sinuosity (S3) metric for quantifying stream meander size distribution","docAbstract":"

Stream bend geometry is linked to terrain features, hydrologic and ecologic conditions, and anthropogenic forces. Knowledge of the distributions of geometric properties of streams advances understanding of changing landscape conditions and associated processes that operate over a range of spatial scales. Statistical decomposition of sinuosity in natural linear features has proven a longstanding challenge and a particular impediment to automated analysis. This paper demonstrates that sinuosity can vary with the magnitude of units at which it is measured (measurement scales). The paper derives a scale-specific sinuosity (S3) metric intended to measure stream bend geometry across a range of measurement scales. The metric is warranted for analysis and modeling at measurement scales equal or similar to the spatial process and landscape conditions under investigation. Derived from the Richardson (1961) plot, the S3 metric quantifies a frequency signature of planform bend sizes spanning a range of measurement units, enabling visual and quantitative analysis of bend geometry in linear stream features. Derivation of the metric makes evident a systematic relationship between stream bend size, sinuosity, and measurement scale, formalizing a relationship between sinuosity and fractal dimension. The paper shows the utility of the S3 metric in examining bend patterns for synthetic and real-world linear stream data.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2023.108734","usgsCitation":"Stanislawski, L., Kronenfeld, B.J., Buttenfield, B.P., and Shavers, E.J., 2023, At what scales does a river meander? Scale-specific sinuosity (S3) metric for quantifying stream meander size distribution: Geomorphology, v. 436, 108734, 11 p., https://doi.org/10.1016/j.geomorph.2023.108734.","productDescription":"108734, 11 p.","ipdsId":"IP-147902","costCenters":[{"id":5074,"text":"Center for Geospatial Information Science (CEGIS)","active":true,"usgs":true}],"links":[{"id":441543,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geomorph.2023.108734","text":"Publisher Index Page"},{"id":499546,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13VXT4Z","text":"USGS data release","linkHelpText":"Scale_Specific_Sinuosity"},{"id":423008,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"436","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"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":888906,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kronenfeld, Barry J. 0000-0002-9518-2462","orcid":"https://orcid.org/0000-0002-9518-2462","contributorId":207104,"corporation":false,"usgs":false,"family":"Kronenfeld","given":"Barry","email":"","middleInitial":"J.","affiliations":[{"id":5043,"text":"Eastern Illinois University","active":true,"usgs":false}],"preferred":false,"id":888907,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Buttenfield, Barbara P. 0000-0001-5961-5809","orcid":"https://orcid.org/0000-0001-5961-5809","contributorId":206887,"corporation":false,"usgs":false,"family":"Buttenfield","given":"Barbara","email":"","middleInitial":"P.","affiliations":[{"id":16144,"text":"University of Colorado-Boulder","active":true,"usgs":false}],"preferred":false,"id":888908,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":888909,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70251084,"text":"70251084 - 2023 - Space-based Earth observation and ecosystem extent: Exploring opportunities","interactions":[],"lastModifiedDate":"2024-02-09T18:24:36.855406","indexId":"70251084","displayToPublicDate":"2023-11-28T06:44:28","publicationYear":"2023","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"Space-based Earth observation and ecosystem extent: Exploring opportunities","docAbstract":"The purpose of this white paper is to explore and communicate potential new opportunities for using space-based Earth observation (EO) for monitoring biodiversity with a focus on ecosystem extent (the distribution of ecosystems on the Earth). It is part of a new activity of the Committee on Earth Observation Satellites (CEOS), a collaboration of the world’s space agencies that facilitates cross-agency coordination of EO. This activity, now manifested as the CEOS Ecosystem Extent Task Team, is focused on increasing the CEOS role in biodiversity applications, initially using ecosystem extent as a vehicle for discussion and exploration of ideas. The audience is two-fold: CEOS Principals that represent their agency, and the biodiversity community with a particular focus on the Convention on Biological Diversity (CBD) and their Parties as well as the UN System of Environmental-Economic Accounting (UN SEEA).","language":"English","publisher":"CEOS","usgsCitation":"Geller, G., Levick, S., Luque, S., Sayre, R., Brink, A., Coops, N., Durrieu, S., Ewald, J., Feilhauer, H., Feret, J., Ferrier, S., Honzak, M., Lenco, D., Koltz, A., Lele, N., Lombardo, S., Mahecha, M., Meyer, C., Paganini, M., Rankine, C., Rocchini, D., Rosenthal, A., Santos, M., and Viciano, L., 2023, Space-based Earth observation and ecosystem extent: Exploring opportunities, 38 p.","productDescription":"38 p.","ipdsId":"IP-159281","costCenters":[{"id":5055,"text":"Land Change Science","active":true,"usgs":true}],"links":[{"id":424670,"rank":2,"type":{"id":15,"text":"Index 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Volcano geodesy often involves the use of models to explain observed surface deformation. A variety of forward models are used, from analytical point sources to numerical simulations that consider complex magma system geometries, topography, and material properties. Various inversion methods can then be used to relate observed volcano data to models. Ideally, forward models should be verified through intercomparison, to check for implementation errors and quantify the error induced by any approximations used. Additionally, forward models and inversion methods should be validated through tests with synthetic and/or real data, to determine their ability to match data and estimate parameter values within uncertainty. However, to date, there have not been comprehensive verification and validation efforts in volcano geodesy. Here, we report on the first phase of the Drivers of Volcano Deformation (DVD) exercises, which were designed to build community involvement through web-based exercises involving calculations of static elastic displacement around pressurized magma reservoirs. The forward model exercises begin with a spherical reservoir in a homogeneous half space, then introduce topography, heterogeneous elastic properties, and spheroidal geometries. The inversion exercises provide synthetic noisy surface displacement data for a spherical reservoir in a homogeneous half space and assess consistency in estimates of reservoir location and volume/pressure change. There is variability in the results from both forward modeling and inversions, which highlights the strengths and limitations of different forward models, as well as the importance of inversion method choice and uncertainty quantification. This first phase of the DVD exercises serves as a community resource and will facilitate further efforts to develop standards of reproducibility.

","language":"English","publisher":"Springer","doi":"10.1007/s00445-023-01687-4","usgsCitation":"Crozier, J.A., Karlstrom, L., Montgomery-Brown, E.K., Angarita, M., Cayol, V., Bato, M.G., Wang, T., Grapenthin, R., Shreve, T., Anderson, K.R., Astort, A., Bodart, O., Cannavò, F., Currenti, G., Dabaghi, F., Erickson, B.A., Garg, D., Head, M., Iozzia, A., Kim, Y., Le Mével, H., Lizama, C.N., Rucker, C., Silverii, F., and Zhan, Y., 2023, Understanding the drivers of volcano deformation through geodetic model verification and validation: Bulletin of Volcanology, v. 85, 74, 23 p., https://doi.org/10.1007/s00445-023-01687-4.","productDescription":"74, 23 p.","ipdsId":"IP-156025","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467072,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://uca.hal.science/hal-04295090","text":"External 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The fields of biology, ecology, and fisheries management are witnessing a growing demand for distinguishing individual fish. In recent years, deep learning methods have emerged as a promising tool for image-based fish recognition. Our study is focused on the re-identification of masu salmon from Japan, wherein fish were individually marked and photographed to evaluate discriminative body characteristics. Unlike previous studies where fish were sampled during the same time period, we evaluated individual re-identification across seasons and years to address challenges due to aging, seasonal variation, and other factors. In this paper, we propose a new contrastive learning framework called Aging Contrast (AgCo) and evaluate its performance on the masu salmon dataset. Our analysis indicates that, unlike large changes in body size over time, the pattern of parr marks on the lateral line of the fish body remains relatively stable, despite some change in coloration across seasons. AgCo accounts for such seasonally-invariant features and performs re-identification based on the cosine similarity of these features. Extensive experiments show that our AgCo method outperforms other state-of-the-art methods.

","conferenceTitle":"AI 2023: Advances in Artificial Intelligence: 36th Australasian Joint Conference on Artificial Intelligence, AI 2023","conferenceDate":"November 28-December 1, 2023","conferenceLocation":"Brisbane, Australia","language":"English","publisher":"Springer","doi":"10.1007/978-981-99-8388-9_21","usgsCitation":"Shi, W., Zhou, Z., Letcher, B., Hitt, N.P., Kanno, Y., Futamura, R., Kishida, O., Morita, K., and Li, S., 2023, Aging contrast: A contrastive learning framework for fish re-identification across seasons and years., AI 2023: Advances in Artificial Intelligence: 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, v. 14471, Brisbane, Australia, November 28-December 1, 2023, p. 252-264, https://doi.org/10.1007/978-981-99-8388-9_21.","productDescription":"13 p.","startPage":"252","endPage":"264","ipdsId":"IP-150815","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":426128,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14471","noUsgsAuthors":false,"publicationDate":"2023-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Shi, Weili","contributorId":305925,"corporation":false,"usgs":false,"family":"Shi","given":"Weili","email":"","affiliations":[{"id":25492,"text":"University of Virginia","active":true,"usgs":false}],"preferred":false,"id":874101,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zhou, Z.","contributorId":305926,"corporation":false,"usgs":false,"family":"Zhou","given":"Z.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":874102,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Letcher, Benjamin 0000-0003-0191-5678","orcid":"https://orcid.org/0000-0003-0191-5678","contributorId":242666,"corporation":false,"usgs":true,"family":"Letcher","given":"Benjamin","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":874104,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hitt, Nathaniel P. 0000-0002-1046-4568","orcid":"https://orcid.org/0000-0002-1046-4568","contributorId":238185,"corporation":false,"usgs":true,"family":"Hitt","given":"Nathaniel","email":"","middleInitial":"P.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":874103,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kanno, Yoichiro ykanno@usgs.gov","contributorId":4876,"corporation":false,"usgs":true,"family":"Kanno","given":"Yoichiro","email":"ykanno@usgs.gov","affiliations":[],"preferred":true,"id":874105,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Futamura, R.","contributorId":305928,"corporation":false,"usgs":false,"family":"Futamura","given":"R.","email":"","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":874106,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kishida, O.","contributorId":305927,"corporation":false,"usgs":false,"family":"Kishida","given":"O.","email":"","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":895666,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Morita, K.","contributorId":305929,"corporation":false,"usgs":false,"family":"Morita","given":"K.","email":"","affiliations":[{"id":7267,"text":"University of Tokyo","active":true,"usgs":false}],"preferred":false,"id":874108,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Li, Sheng","contributorId":297449,"corporation":false,"usgs":false,"family":"Li","given":"Sheng","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":874109,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70250325,"text":"70250325 - 2023 - Fire regime shapes butterfly communities through changes in nectar resources in an Australian tropical savanna","interactions":[],"lastModifiedDate":"2023-12-04T15:34:13.527112","indexId":"70250325","displayToPublicDate":"2023-11-27T09:19:12","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Fire regime shapes butterfly communities through changes in nectar resources in an Australian tropical savanna","docAbstract":"

Fire-dependent savanna provides key habitat for butterflies globally, but we know little about how fire regimes, including fire frequency and season, affect them. These impacts are likely to be primarily indirect, through changes in overall habitat structure, the abundance of larval host plants, and/or the provision of nectar resources for adults. We examined the relationships among fire regime, butterfly abundance and diversity, and vegetation structure and floral resources within a long-term fire experiment near Darwin in the Australian monsoon tropics. We surveyed butterflies and floral resources throughout the 2019–2020 wet season in three replicate plots of each of six experimental treatments that had been operating for 15 years. All plots subject to fire had been burned in the previous dry season. We observed 24 butterfly species and 280 individuals representing all five butterfly families found in Northern Australia. Butterfly abundance was highest under early dry-season (June) fire regimes (mean = 11.9 individuals per plot survey) compared with a late dry-season (October) regime (mean = 6.7) and in the long-term absence of fire (mean = 5.3), and this was correlated with the abundance of floral resources. The distribution of butterflies was also highly associated with floral resources within plots regardless of fire treatment. Butterfly species richness was significantly higher in early dry-season (mean = 6.8) compared with unburned (mean = 3.3) plots but did not differ between early and late dry-season (mean = 4.7) plots. Butterfly and floral diversity were similar across all early dry-season fire treatments regardless of whether they had been burned every 1, 2, 3, or 5 years. Our finding that early dry-season burning promotes butterfly diversity and abundance by increasing the supply of nectar resources has important implications for biodiversity management more broadly, given that nectar is a critical resource for many animal taxa.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4717","usgsCitation":"Leone, J.B., Larson, D., Richards, A.E., Schatz, J., and Andersen, A.N., 2023, Fire regime shapes butterfly communities through changes in nectar resources in an Australian tropical savanna: Ecosphere, v. 14, no. 11, e4714, 17 p., https://doi.org/10.1002/ecs2.4717.","productDescription":"e4714, 17 p.","ipdsId":"IP-149012","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":441548,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4717","text":"Publisher Index Page"},{"id":423174,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","otherGeospatial":"Territory Wildlife Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 130.9646231191581,\n -12.679610515182347\n ],\n [\n 130.9646231191581,\n -12.718979103292654\n ],\n [\n 131.00331132688984,\n -12.718979103292654\n ],\n [\n 131.00331132688984,\n -12.679610515182347\n ],\n [\n 130.9646231191581,\n -12.679610515182347\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-11-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Leone, Julia B.","contributorId":216121,"corporation":false,"usgs":false,"family":"Leone","given":"Julia","email":"","middleInitial":"B.","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":889457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Larson, Diane L. 0000-0001-5202-0634","orcid":"https://orcid.org/0000-0001-5202-0634","contributorId":260165,"corporation":false,"usgs":true,"family":"Larson","given":"Diane L.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":889458,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Richards, Anna E. 0000-0002-2934-5497","orcid":"https://orcid.org/0000-0002-2934-5497","contributorId":332108,"corporation":false,"usgs":false,"family":"Richards","given":"Anna","email":"","middleInitial":"E.","affiliations":[{"id":39017,"text":"CSIRO Land and Water","active":true,"usgs":false}],"preferred":false,"id":889459,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schatz, Jon","contributorId":332109,"corporation":false,"usgs":false,"family":"Schatz","given":"Jon","email":"","affiliations":[{"id":39017,"text":"CSIRO Land and Water","active":true,"usgs":false}],"preferred":false,"id":889460,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Andersen, Alan N.","contributorId":179231,"corporation":false,"usgs":false,"family":"Andersen","given":"Alan","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":889461,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250245,"text":"70250245 - 2023 - Characterizing the movement of per- and polyfluoroalkyl substances in an avian aquatic–terrestrial food web","interactions":[],"lastModifiedDate":"2023-12-21T14:52:37.446433","indexId":"70250245","displayToPublicDate":"2023-11-24T06:52:20","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5925,"text":"Environmental Science and Technology","active":true,"publicationSubtype":{"id":10}},"title":"Characterizing the movement of per- and polyfluoroalkyl substances in an avian aquatic–terrestrial food web","docAbstract":"

The movement of per- and polyfluoroalkyl substances (PFAS) through linked aquatic–terrestrial food webs is not well understood. Tree swallows (Tachycineta bicolor) in such systems may be exposed to PFAS from multiple abiotic and/or biotic compartments. We show from fatty acid signatures and carbon stable isotopes that tree swallow nestlings in southwestern Ontario fed on both terrestrial and aquatic macroinvertebrates. The PFAS profiles of air, terrestrial invertebrates, and swallows were dominated by perfluorooctanesulfonic acid (PFOS). Short-chain perfluoroalkyl acids (PFAAs) were largely restricted to air, surface water, and sediment, and long-chain PFAAs were mainly found in aquatic invertebrates and tree swallows. PFOS, multiple long-chain perfluorocarboxylic acids [perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), perfluorotridecanoic acid (PFTrDA)] and perfluorooctane sulfonamide precursors were estimated to bioaccumulate from air to tree swallows. PFOS bioaccumulated from air to terrestrial invertebrates, and PFOS, PFDA, and perfluorooctane sulfonamidoacetic acids (FOSAAs) bioaccumulated from water to aquatic invertebrates. PFOS showed biomagnification from both terrestrial and aquatic invertebrates to tree swallows, and PFDA and FOSAAs were also biomagnified from aquatic invertebrates to tree swallows. The movement of PFAS through aquatic–terrestrial food webs appears congener- and compartment-specific, challenging the understanding of PFAS exposure routes for multiple species involved in these food webs.

","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.3c06944","usgsCitation":"Hopkins, K.E., McKinney, M.A., Saini, A., Letcher, R.J., Karouna-Renier, N., and Fernie, K.J., 2023, Characterizing the movement of per- and polyfluoroalkyl substances in an avian aquatic–terrestrial food web: Environmental Science and Technology, v. 57, no. 48, p. 20249-20260, https://doi.org/10.1021/acs.est.3c06944.","productDescription":"12 p.","startPage":"20249","endPage":"20260","ipdsId":"IP-157512","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":441551,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.3c06944","text":"Publisher Index Page"},{"id":423085,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -79.94915766991996,\n 43.537740918867286\n ],\n [\n -79.94915766991996,\n 43.02587734700535\n ],\n [\n -78.96038813866959,\n 43.02587734700535\n ],\n [\n -78.96038813866959,\n 43.537740918867286\n ],\n [\n -79.94915766991996,\n 43.537740918867286\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"57","issue":"48","noUsgsAuthors":false,"publicationDate":"2023-11-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Hopkins, Kailee E.","contributorId":331888,"corporation":false,"usgs":false,"family":"Hopkins","given":"Kailee","email":"","middleInitial":"E.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":889041,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McKinney, Melissa A.","contributorId":11496,"corporation":false,"usgs":false,"family":"McKinney","given":"Melissa","email":"","middleInitial":"A.","affiliations":[{"id":6619,"text":"University of Connecticutt","active":true,"usgs":false}],"preferred":false,"id":889042,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Saini, Amandeep","contributorId":331889,"corporation":false,"usgs":false,"family":"Saini","given":"Amandeep","email":"","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":889043,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Letcher, Robert J.","contributorId":176209,"corporation":false,"usgs":false,"family":"Letcher","given":"Robert","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":889044,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":889045,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fernie, Kim J.","contributorId":211241,"corporation":false,"usgs":false,"family":"Fernie","given":"Kim","email":"","middleInitial":"J.","affiliations":[{"id":36681,"text":"Environment and Climate Change Canada","active":true,"usgs":false}],"preferred":false,"id":889046,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70250161,"text":"70250161 - 2023 - Deer management generally reduces densities of nymphal Ixodes scapularis, but not prevalence of infection with Borrelia burgdorferi sensu stricto","interactions":[],"lastModifiedDate":"2023-11-24T12:54:19.730004","indexId":"70250161","displayToPublicDate":"2023-11-24T06:43:39","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5082,"text":"Ticks and Tick-borne Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Deer management generally reduces densities of nymphal Ixodes scapularis, but not prevalence of infection with Borrelia burgdorferi sensu stricto","title":"Deer management generally reduces densities of nymphal Ixodes scapularis, but not prevalence of infection with Borrelia burgdorferi sensu stricto","docAbstract":"

Human Lyme disease–primarily caused by the bacterium Borrelia burgdorferi sensu stricto (s.s.) in North America–is the most common vector-borne disease in the United States. Research on risk mitigation strategies during the last three decades has emphasized methods to reduce densities of the primary vector in eastern North America, the blacklegged tick (Ixodes scapularis). Controlling white-tailed deer populations has been considered a potential method for reducing tick densities, as white-tailed deer are important hosts for blacklegged tick reproduction. However, the feasibility and efficacy of white-tailed deer management to impact acarological risk of encountering infected ticks (namely, density of host-seeking infected nymphs; DIN) is unclear. We investigated the effect of white-tailed deer density and management on the density of host-seeking nymphs and B. burgdorferi s.s. infection prevalence using surveillance data from eight national parks and park regions in the eastern United States from 2014–2022. We found that deer density was significantly positively correlated with the density of nymphs (nymph density increased by 49% with a 1 standard deviation increase in deer density) but was not strongly correlated with the prevalence of B. burgdorferi s.s. infection in nymphal ticks. Further, while white-tailed deer reduction efforts were followed by a decrease in the density of I. scapularis nymphs in parks, deer removal had variable effects on B. burgdorferi s.s. infection prevalence, with some parks experiencing slight declines and others slight increases in prevalence. Our findings suggest that managing white-tailed deer densities alone may not be effective in reducing DIN in all situations but may be a useful tool when implemented in integrated management regimes.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ttbdis.2023.102202","usgsCitation":"Martin, A., Buttke, D., Raphael, J., Taylor, K., Maes, S., Parise, C.M., Ginsberg, H., and Cross, P., 2023, Deer management generally reduces densities of nymphal Ixodes scapularis, but not prevalence of infection with Borrelia burgdorferi sensu stricto: Ticks and Tick-borne Diseases, v. 14, no. 5, 102202, 15 p., https://doi.org/10.1016/j.ttbdis.2023.102202.","productDescription":"102202, 15 p.","ipdsId":"IP-146009","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441555,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ttbdis.2023.102202","text":"Publisher Index Page"},{"id":435115,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LSI8K9","text":"USGS data release","linkHelpText":"Blacklegged tick nymph densities, tickborne pathogen prevalence, and white-tailed deer densities in eight national parks in the eastern United States from 2014-2022"},{"id":422883,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland, Pennsylvania, Virginia, West Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.04185662081417,\n 38.07679669581978\n ],\n [\n -77.04185662081417,\n 40.08490092740237\n ],\n [\n -77.97369181209007,\n 40.08490092740237\n ],\n [\n -77.97369181209007,\n 38.07679669581978\n ],\n [\n -77.04185662081417,\n 38.07679669581978\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Martin, Alynn 0000-0002-6603-2385","orcid":"https://orcid.org/0000-0002-6603-2385","contributorId":224233,"corporation":false,"usgs":true,"family":"Martin","given":"Alynn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":888616,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Buttke, Danielle","contributorId":225082,"corporation":false,"usgs":false,"family":"Buttke","given":"Danielle","affiliations":[],"preferred":false,"id":888617,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Raphael, Jordan","contributorId":218631,"corporation":false,"usgs":false,"family":"Raphael","given":"Jordan","email":"","affiliations":[{"id":39877,"text":"National Park Service, Fire Island National Seashore","active":true,"usgs":false}],"preferred":false,"id":888618,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Taylor, Kelsey","contributorId":194103,"corporation":false,"usgs":false,"family":"Taylor","given":"Kelsey","email":"","affiliations":[],"preferred":false,"id":888619,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Maes, Sarah","contributorId":331731,"corporation":false,"usgs":false,"family":"Maes","given":"Sarah","email":"","affiliations":[],"preferred":false,"id":888641,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parise, Christina M.","contributorId":331732,"corporation":false,"usgs":false,"family":"Parise","given":"Christina","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":888642,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ginsberg, Howard 0000-0002-4933-2466","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":15473,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":888620,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":218820,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":888621,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70250157,"text":"70250157 - 2023 - Multi-omic responses of fish exposed to complex chemical mixtures in the Shenandoah River watershed","interactions":[],"lastModifiedDate":"2023-11-24T12:43:08.489657","indexId":"70250157","displayToPublicDate":"2023-11-24T06:35:50","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Multi-omic responses of fish exposed to complex chemical mixtures in the Shenandoah River watershed","docAbstract":"

To evaluate relationships between different anthropogenic impacts, contaminant occurrence, and fish health, we conducted in situ fish exposures across the Shenandoah River watershed at five sites with different land use. Exposure water was analyzed for over 500 chemical constituents, and organismal, metabolomic, and transcriptomic endpoints were measured in fathead minnows. Adverse reproductive outcomes were observed in fish exposed in the upper watershed at both wastewater treatment plant (WWTP) effluent- and agriculture-impacted sites, including decreased gonadosomatic index and altered secondary sex characteristics. This was accompanied with increased mortality at the site most impacted by agricultural activities. Molecular biomarkers of estrogen exposure were unchanged and consistent with low or non-detectable concentrations of common estrogens, indicating that alternative mechanisms were involved in organismal adverse outcomes. Hepatic metabolomic and transcriptomic profiles were altered in a site-specific manner, consistent with variation in land use and contaminant profiles. Integrated biomarker response data were useful for evaluating mechanistic linkages between contaminants and adverse outcomes, suggesting that reproductive endocrine disruption, altered lipid processes, and immunosuppression may have been involved in these organismal impacts. This study demonstrated linkages between human-impact, contaminant occurrence, and exposure effects in the Shenandoah River watershed and showed increased risk of adverse outcomes in fathead minnows exposed to complex mixtures at sites impacted by municipal wastewater discharges and agricultural practices.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2023.165975","usgsCitation":"Bertolatus, D., Barber, L., Martyniuk, C.J., Zhen, H., Collette, T.W., Ekman, D.R., Jastrow, A., Rapp, J., and Vajda, A.M., 2023, Multi-omic responses of fish exposed to complex chemical mixtures in the Shenandoah River watershed: Science of the Total Environment, v. 902, 165975, 13 p., https://doi.org/10.1016/j.scitotenv.2023.165975.","productDescription":"165975, 13 p.","ipdsId":"IP-096955","costCenters":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":467073,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10592118","text":"External Repository"},{"id":422882,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia, West Virginia","otherGeospatial":"Shenandoah River Watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -77.9727012249313,\n 39.59725275152107\n ],\n [\n -78.22802064680776,\n 39.25705449140892\n ],\n [\n -78.4769570831382,\n 39.26199675696881\n ],\n [\n -79.23014937767479,\n 38.676407590053856\n ],\n [\n -79.70249030814699,\n 38.621572296491735\n ],\n [\n -80.34078886283893,\n 37.70317136166855\n ],\n [\n -80.41738468940203,\n 37.31836727052378\n ],\n [\n -80.20036318080633,\n 36.763022451379456\n ],\n [\n -79.68334135150582,\n 36.660683818457315\n ],\n [\n -79.07057473900181,\n 37.23710331035643\n ],\n [\n -77.99185018157169,\n 37.97537751570279\n ],\n [\n -77.42376446789602,\n 38.73120090646128\n ],\n [\n -77.50674328000592,\n 39.25705449140892\n ],\n [\n -77.9727012249313,\n 39.59725275152107\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"902","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bertolatus, David 0000-0002-6829-9454","orcid":"https://orcid.org/0000-0002-6829-9454","contributorId":220848,"corporation":false,"usgs":false,"family":"Bertolatus","given":"David","email":"","affiliations":[{"id":16824,"text":"University of Colorado Denver","active":true,"usgs":false}],"preferred":false,"id":888604,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, Larry B. 0000-0002-0561-0831","orcid":"https://orcid.org/0000-0002-0561-0831","contributorId":218953,"corporation":false,"usgs":true,"family":"Barber","given":"Larry B.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - 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2023 - Arctic-boreal lakes of interior Alaska dominated by contemporary carbon","interactions":[],"lastModifiedDate":"2023-11-24T12:35:19.407915","indexId":"70250167","displayToPublicDate":"2023-11-24T06:19:47","publicationYear":"2023","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":"Arctic-boreal lakes of interior Alaska dominated by contemporary carbon","docAbstract":"

Northern high-latitude lakes are critical sites for carbon processing and serve as potential conduits for the emission of permafrost-derived carbon and greenhouse gases. However, the fate and emission pathways of permafrost carbon in these systems remain uncertain. Here, we used the natural abundance of radiocarbon to identify and trace the predominant sources of methane, carbon dioxide, dissolved inorganic and organic carbon in nine lakes within the Yukon Flats National Wildlife Refuge in interior Alaska, a discontinuous permafrost region with high landscape heterogeneity and susceptibility to climate, permafrost, and hydrological changes. We find that although Yukon Flats lakes primarily process young carbon (modern to 1290 ± 60 years before present), permafrost-derived carbon is present in some of the sampled lakes and contributes, at most, 30 ± 10% of the dissolved carbon in lake surface waters. Apportionment of young carbon and legacy carbon (carbon with radiocarbon age ⩾5000 years before present) is decoupled among the dissolved inorganic and organic carbon species, with methane showing a stronger legacy signature. Our observations suggest that permafrost-thaw-related transport of carbon through Yukon Flats lacustrine ecosystems and into the atmosphere is small, and likely regulated by surficial sediments, permafrost distribution, wildfire occurrence, or masked by contemporary carbon processes. The heterogeneity of lakes across our study area and northern landscapes more broadly cautions against using any one region (e.g. Yedoma permafrost lakes) to upscale their contribution across the pan-Arctic.

","language":"English","publisher":"IOP Publishing","doi":"10.1088/1748-9326/ad0993","usgsCitation":"Garcia-Tigreros, F., Elder, C.D., Kurek, M.R., Miller, B.L., Xu, X., Wickland, K., Czimczik, C.I., Dornblaser, M.M., Striegl, R.G., Kyzivat, E.D., Smith, L., Spencer, R., Miller, C.E., and Butman, D., 2023, Arctic-boreal lakes of interior Alaska dominated by contemporary carbon: Environmental Research Letters, v. 18, no. 12, 124024, 11 p., https://doi.org/10.1088/1748-9326/ad0993.","productDescription":"124024, 11 p.","ipdsId":"IP-148398","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":441558,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ad0993","text":"Publisher Index Page"},{"id":422881,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Boot Lake, Canvasback Lake, Greenpepper Lake, Shack Lake, Thumb Lake, Twelvemile Lake, Twin Lake, West Crazy Lake, YF18 Lake, Yukon Flats National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -152.32495243819622,\n 65.09586209258472\n ],\n [\n -149.03799309568313,\n 64.59463623905711\n ],\n [\n -143.9761424480567,\n 65.63219990838482\n ],\n [\n -141.00690728046249,\n 66.43516910407672\n ],\n [\n -140.9727162057442,\n 68.73213031511489\n ],\n [\n -148.19579980608407,\n 67.27696483824582\n ],\n [\n -153.60488278174276,\n 67.04326208119708\n ],\n [\n -152.32495243819622,\n 65.09586209258472\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"12","noUsgsAuthors":false,"publicationDate":"2023-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Garcia-Tigreros, Fenix 0000-0001-8694-9046","orcid":"https://orcid.org/0000-0001-8694-9046","contributorId":194744,"corporation":false,"usgs":false,"family":"Garcia-Tigreros","given":"Fenix","email":"","affiliations":[],"preferred":false,"id":888627,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Elder, Clayton D.","contributorId":201542,"corporation":false,"usgs":false,"family":"Elder","given":"Clayton","email":"","middleInitial":"D.","affiliations":[{"id":7023,"text":"Jet Propulsion Laboratory, California Institute of Technology","active":true,"usgs":false}],"preferred":false,"id":888628,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kurek, Martin R.","contributorId":300567,"corporation":false,"usgs":false,"family":"Kurek","given":"Martin","email":"","middleInitial":"R.","affiliations":[{"id":7092,"text":"Florida State University","active":true,"usgs":false}],"preferred":false,"id":888629,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Miller, Benjamin L.","contributorId":331727,"corporation":false,"usgs":false,"family":"Miller","given":"Benjamin","email":"","middleInitial":"L.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":888630,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Xu, Xiaomei","contributorId":139915,"corporation":false,"usgs":false,"family":"Xu","given":"Xiaomei","email":"","affiliations":[{"id":13312,"text":"University of California-Irvine","active":true,"usgs":false}],"preferred":false,"id":888631,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wickland, Kimberly 0000-0002-6400-0590","orcid":"https://orcid.org/0000-0002-6400-0590","contributorId":208471,"corporation":false,"usgs":true,"family":"Wickland","given":"Kimberly","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":888632,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Czimczik, Cluadia I.","contributorId":331728,"corporation":false,"usgs":false,"family":"Czimczik","given":"Cluadia","email":"","middleInitial":"I.","affiliations":[{"id":13312,"text":"University of California-Irvine","active":true,"usgs":false}],"preferred":false,"id":888633,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dornblaser, Mark M.","contributorId":300296,"corporation":false,"usgs":false,"family":"Dornblaser","given":"Mark","email":"","middleInitial":"M.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":888634,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - 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Washington","active":true,"usgs":false}],"preferred":false,"id":888640,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70250773,"text":"70250773 - 2023 - Where the past meets the present: Connecting nitrogen from watersheds to streams through groundwater flowpaths","interactions":[],"lastModifiedDate":"2024-01-04T13:09:31.702227","indexId":"70250773","displayToPublicDate":"2023-11-23T07:06:39","publicationYear":"2023","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":"Where the past meets the present: Connecting nitrogen from watersheds to streams through groundwater flowpaths","docAbstract":"

Groundwater discharge to streams is a nonpoint source of nitrogen (N) that confounds N mitigation efforts and represents a significant portion of the annual N loading to watersheds. However, we lack an understanding of where and how much groundwater N enters streams and watersheds. Nitrogen concentrations at the end of groundwater flowpaths are the culmination of biogeochemical and physical processes from the contributing land area where groundwater recharges, within the aquifer system, and in the near-stream riparian area where groundwater discharges to streams. Our research objectives were to quantify the spatial distribution of N concentrations at groundwater discharges throughout a mixed land-use watershed and to evaluate how relationships among contributing and riparian land cover, modeled aquifer characteristics, and groundwater discharge biogeochemistry explain the spatial variation in groundwater discharge N concentrations. We accomplished this by integrating high-resolution thermal infrared surveys to locate groundwater discharge, biogeochemical sampling of groundwater, and a particle tracking model that links groundwater discharge locations to their contributing area land cover. Groundwater N loading from groundwater discharges within the watershed varied substantially between and within streambank groundwater discharge features. Groundwater nitrate concentrations were spatially heterogeneous ranging from below 0.03–11.45 mg-N/L, varying up to 20-fold within meters. When combined with the particle tracking model results and land cover metrics, we found that groundwater discharge nitrate concentrations were best predicted by a linear mixed-effect model that explained over 60% of the variation in nitrate concentrations, including aquifer chemistry (dissolved oxygen, Cl−, SO42−), riparian area forested land cover, and modeled physical aquifer characteristics (discharge, Euclidean distance). Our work highlights the significant spatial variability in groundwater discharge nitrate concentrations within mixed land-use watersheds and the need to understand groundwater N processing across the many spatiotemporal scales within groundwater cycling.

","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ad0c86","usgsCitation":"Moore, E.M., Barclay, J.R., Haynes, A.B., Jackson, K.E., Bisson, A.M., Briggs, M., and Helton, A.M., 2023, Where the past meets the present: Connecting nitrogen from watersheds to streams through groundwater flowpaths: Environmental Research Letters, v. 18, 124039, 12 p., https://doi.org/10.1088/1748-9326/ad0c86.","productDescription":"124039, 12 p.","ipdsId":"IP-150250","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":441560,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ad0c86","text":"Publisher Index Page"},{"id":424111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Connecticut","otherGeospatial":"Farmington River watershed","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.18499513799182,\n 42.06150696284237\n ],\n [\n -73.18499513799182,\n 41.43446844111949\n ],\n [\n -72.30059572392948,\n 41.43446844111949\n ],\n [\n -72.30059572392948,\n 42.06150696284237\n ],\n [\n -73.18499513799182,\n 42.06150696284237\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","noUsgsAuthors":false,"publicationDate":"2023-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Moore, Eric M. 0000-0002-2479-2677","orcid":"https://orcid.org/0000-0002-2479-2677","contributorId":332922,"corporation":false,"usgs":false,"family":"Moore","given":"Eric","email":"","middleInitial":"M.","affiliations":[{"id":79689,"text":"University of Connecticut, Department Natural Resources and the Environment","active":true,"usgs":false}],"preferred":false,"id":891365,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barclay, Janet R. 0000-0003-1643-6901 jbarclay@usgs.gov","orcid":"https://orcid.org/0000-0003-1643-6901","contributorId":222437,"corporation":false,"usgs":true,"family":"Barclay","given":"Janet","email":"jbarclay@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891366,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haynes, Adam B.","contributorId":332923,"corporation":false,"usgs":false,"family":"Haynes","given":"Adam","email":"","middleInitial":"B.","affiliations":[{"id":79690,"text":"University of California Santa Cruz, Earth & Planetary Sciences Department","active":true,"usgs":false}],"preferred":false,"id":891367,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jackson, Kevin E. 0000-0002-2156-5073","orcid":"https://orcid.org/0000-0002-2156-5073","contributorId":332924,"corporation":false,"usgs":false,"family":"Jackson","given":"Kevin","email":"","middleInitial":"E.","affiliations":[{"id":79691,"text":"University of Maryland, Center for Envirnomental Science","active":true,"usgs":false}],"preferred":false,"id":891368,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Bisson, Alaina M.","contributorId":332925,"corporation":false,"usgs":false,"family":"Bisson","given":"Alaina","email":"","middleInitial":"M.","affiliations":[{"id":79692,"text":"Harvard University Arboretum","active":true,"usgs":false}],"preferred":false,"id":891369,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Briggs, Martin A. 0000-0003-3206-4132","orcid":"https://orcid.org/0000-0003-3206-4132","contributorId":222759,"corporation":false,"usgs":true,"family":"Briggs","given":"Martin A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":891370,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Helton, Ashley M. 0000-0001-6928-2104","orcid":"https://orcid.org/0000-0001-6928-2104","contributorId":298703,"corporation":false,"usgs":false,"family":"Helton","given":"Ashley","email":"","middleInitial":"M.","affiliations":[{"id":36710,"text":"University of Connecticut","active":true,"usgs":false}],"preferred":false,"id":891371,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250273,"text":"70250273 - 2023 - A community convention for ecological forecasting: Output files and metadata version 1.0","interactions":[],"lastModifiedDate":"2023-11-30T13:09:22.449203","indexId":"70250273","displayToPublicDate":"2023-11-23T07:04:32","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"A community convention for ecological forecasting: Output files and metadata version 1.0","docAbstract":"

This paper summarizes the open community conventions developed by the Ecological Forecasting Initiative (EFI) for the common formatting and archiving of ecological forecasts and the metadata associated with these forecasts. Such open standards are intended to promote interoperability and facilitate forecast communication, distribution, validation, and synthesis. For output files, we first describe the convention conceptually in terms of global attributes, forecast dimensions, forecasted variables, and ancillary indicator variables. We then illustrate the application of this convention to the two file formats that are currently preferred by the EFI, netCDF (network common data form), and comma-separated values (CSV), but note that the convention is extensible to future formats. For metadata, EFI's convention identifies a subset of conventional metadata variables that are required (e.g., temporal resolution and output variables) but focuses on developing a framework for storing information about forecast uncertainty propagation, data assimilation, and model complexity, which aims to facilitate cross-forecast synthesis. The initial application of this convention expands upon the Ecological Metadata Language (EML), a commonly used metadata standard in ecology. To facilitate community adoption, we also provide a Github repository containing a metadata validator tool and several vignettes in R and Python on how to both write and read in the EFI standard. Lastly, we provide guidance on forecast archiving, making an important distinction between short-term dissemination and long-term forecast archiving, while also touching on the archiving of code and workflows. Overall, the EFI convention is a living document that can continue to evolve over time through an open community process.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.4686","usgsCitation":"Dietze, M.C., Thomas, R.Q., Peters, J., Boettiger, C., Koren, G., Shiklomanov, A.N., and Ashander, J., 2023, A community convention for ecological forecasting: Output files and metadata version 1.0: Ecosphere, v. 14, no. 11, e4686, 23 p., https://doi.org/10.1002/ecs2.4686.","productDescription":"e4686, 23 p.","ipdsId":"IP-146045","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":441562,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.4686","text":"Publisher Index Page"},{"id":423087,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"11","noUsgsAuthors":false,"publicationDate":"2023-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Dietze, Michael C.","contributorId":266096,"corporation":false,"usgs":false,"family":"Dietze","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":54896,"text":"Department of Earth & Environment, Boston University, Boston, MA 02215, USA","active":true,"usgs":false}],"preferred":false,"id":889240,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Thomas, R. Quinn","contributorId":242825,"corporation":false,"usgs":false,"family":"Thomas","given":"R.","email":"","middleInitial":"Quinn","affiliations":[{"id":48537,"text":"Assistant Professor, Forest Resources & Environmental Conservation, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":889241,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peters, Jody","contributorId":216790,"corporation":false,"usgs":false,"family":"Peters","given":"Jody","affiliations":[{"id":39516,"text":"University of Notre Dame","active":true,"usgs":false}],"preferred":false,"id":889242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boettiger, Carl 0000-0002-1642-628X","orcid":"https://orcid.org/0000-0002-1642-628X","contributorId":332018,"corporation":false,"usgs":false,"family":"Boettiger","given":"Carl","email":"","affiliations":[{"id":79359,"text":"Department of Environmental Science, Policy and Management, University of California Berkeley, Berkeley, CA","active":true,"usgs":false}],"preferred":false,"id":889243,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Koren, Gerband","contributorId":332019,"corporation":false,"usgs":false,"family":"Koren","given":"Gerband","email":"","affiliations":[{"id":79360,"text":"Copernicus Institute of Sustainable Development, Utrecht University, Netherlands","active":true,"usgs":false}],"preferred":false,"id":889244,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shiklomanov, Alexy N.","contributorId":332020,"corporation":false,"usgs":false,"family":"Shiklomanov","given":"Alexy","email":"","middleInitial":"N.","affiliations":[{"id":79361,"text":"NASA Goddard Space Flight Center, Greenbelt, MD, USA","active":true,"usgs":false}],"preferred":false,"id":889245,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ashander, Jaime 0000-0002-1841-4768","orcid":"https://orcid.org/0000-0002-1841-4768","contributorId":294949,"corporation":false,"usgs":true,"family":"Ashander","given":"Jaime","email":"","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":889246,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250186,"text":"70250186 - 2023 - Sediment sources and connectivity linked to hydrologic pathways and geomorphic processes: A conceptual model to specify sediment sources and pathways through space and time","interactions":[],"lastModifiedDate":"2023-11-28T12:52:16.525451","indexId":"70250186","displayToPublicDate":"2023-11-23T06:48:04","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7170,"text":"Frontiers in Water","active":true,"publicationSubtype":{"id":10}},"title":"Sediment sources and connectivity linked to hydrologic pathways and geomorphic processes: A conceptual model to specify sediment sources and pathways through space and time","docAbstract":"

Sediment connectivity is a conceptualization for the transfer and storage of sediment among different geomorphic compartments across upland landscapes and channel networks. Sediment connectivity and dysconnectivity are linked to the water cycle and hydrologic systems with the associated multiscale interactions with climate, soil, topography, ecology, and landuse/landcover under natural variability and human intervention. We review current sediment connectivity and modeling approaches evaluating and quantifying water and sediment transfer in catchment systems. Many studies highlight the interaction between sediment and water in defining landscape connectivity, but many efforts to quantify and/or simulate sediment connectivity rely on the topographic/structural controls on sediment erosion and delivery. More recent modeling efforts integrate functional and structural connectivity to capture hydrologic properties influencing sediment delivery. Though the recent modeling development is encouraging, a comprehensive sediment connectivity framework, which integrates geomorphic and hydrologic processes across spatiotemporal scales, has not yet been accomplished. Such an effort requires understanding the hydrologic and geomorphic processes that control sediment source, storage, and transport at different spatiotemporal scales and across various geophysical conditions. We propose a path for developing this new understanding through an integrated hydrologic and sediment connectivity conceptual model that broadly categorizes dominant processes and patterns relevant to understanding sediment flux dynamics. The conceptual model describes hydrologic–sediment connectivity regimes through spatial-temporal feedback between hydrologic processes and geomorphic drivers. We propose that in combining hydrologic and sediment connectivity into a single conceptual model, patterns emerge such that catchments will exist in a single characteristic behavior at a particular instance, which would shift with space and time, and with landscape disturbances. Using the conceptual model as a “thinking” tool, we extract case studies from a multidisciplinary literature review—from hydrology, geomorphology, biogeochemistry, and watershed modeling to remote-sensing technology—that correspond to each of the dominant hydrologic–sediment connectivity regimes. Sediment and water interactions in real-world examples through various observational and modeling techniques illustrate the advancements in the spatial and temporal scales of landscape connectivity observations and simulations. The conceptual model and case studies provide a foundation for advancing the understanding and predictive capability of watershed sediment processes at multiple spatiotemporal scales. Plain language summary: Soil erosion and movement across the landscape are closely linked to rain events and flow pathways. Landscape connectivity is a way to consider how soil erosion from different parts of the landscape is connected to the streams. We explore where soil erosion occurs and how eroded soil moves across the landscape through the interaction with rainfall and drainage. The comprehensive understanding of sediment connectivity and its dependence on rainfall characteristics and watershed hydrology may help to inform the effective distribution of conservation funds and management actions to address water pollution from excess sediment.

","language":"English","publisher":"Frontiers","doi":"10.3389/frwa.2023.1241622","usgsCitation":"Cho, J., Karwan, D., Skalak, K., Pizzuto, J., and Huffman, M., 2023, Sediment sources and connectivity linked to hydrologic pathways and geomorphic processes: A conceptual model to specify sediment sources and pathways through space and time: Frontiers in Water, v. 5, 1241622, 24 p., https://doi.org/10.3389/frwa.2023.1241622.","productDescription":"1241622, 24 p.","ipdsId":"IP-153828","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":441564,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frwa.2023.1241622","text":"Publisher Index Page"},{"id":423007,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"5","noUsgsAuthors":false,"publicationDate":"2023-11-23","publicationStatus":"PW","contributors":{"authors":[{"text":"Cho, Jong 0000-0001-5514-6056","orcid":"https://orcid.org/0000-0001-5514-6056","contributorId":291384,"corporation":false,"usgs":true,"family":"Cho","given":"Jong","email":"","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":888728,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Karwan, Diana","contributorId":331761,"corporation":false,"usgs":false,"family":"Karwan","given":"Diana","affiliations":[{"id":6626,"text":"University of Minnesota","active":true,"usgs":false}],"preferred":false,"id":888729,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Skalak, Katherine 0000-0003-4122-1240 kskalak@usgs.gov","orcid":"https://orcid.org/0000-0003-4122-1240","contributorId":3990,"corporation":false,"usgs":true,"family":"Skalak","given":"Katherine","email":"kskalak@usgs.gov","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":888730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pizzuto, James","contributorId":331762,"corporation":false,"usgs":false,"family":"Pizzuto","given":"James","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":888731,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Huffman, Max","contributorId":331763,"corporation":false,"usgs":false,"family":"Huffman","given":"Max","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":888732,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70250853,"text":"70250853 - 2023 - Conserved grasslands support similar pollinator diversity as pollinator-specific practice regardless of proximal cropland and pesticide exposure","interactions":[],"lastModifiedDate":"2024-01-10T15:20:56.832051","indexId":"70250853","displayToPublicDate":"2023-11-22T09:12:27","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3908,"text":"Royal Society Open Science","active":true,"publicationSubtype":{"id":10}},"title":"Conserved grasslands support similar pollinator diversity as pollinator-specific practice regardless of proximal cropland and pesticide exposure","docAbstract":"

Pollinator diversity and abundance are declining globally. Cropland agriculture and the corresponding use of agricultural pesticides may contribute to these declines, while increased pollinator habitat (flowering plants) can help mitigate them. Here we tested whether the relative effect of wildflower plantings on pollinator diversity and counts were modified by proportion of nearby agricultural land cover and pesticide exposure in 24 conserved grasslands in Iowa, USA. Compared with general grassland conservation practices, wildflower plantings led to only a 5% increase in pollinator diversity and no change in counts regardless of the proportion of cropland agriculture within a 1 km radius. Pollinator diversity increased earlier in the growing season and with per cent flower cover. Unexpectedly, neither insecticide nor total pesticide concentrations on above-ground passive samplers were related to pollinator diversity. However, pollinator community composition was most strongly related to date of sampling, total pesticide concentration, and forb or flower cover. Our results indicate very little difference in pollinator diversity between grassland conservation practices with and without wildflower plantings. Given the relatively high economic costs of wildflower plantings, our research provides initial evidence that investment in general grassland conservation may efficiently conserve pollinator diversity in temperate regions of intensive cropland agriculture.

","language":"English","publisher":"The Royal Society Publishing","doi":"10.1098/rsos.231093","usgsCitation":"Kraus, J.M., Smalling, K., Vandever, M.W., Givens, C.E., Smith, C., Kolpin, D., and Hladik, M.L., 2023, Conserved grasslands support similar pollinator diversity as pollinator-specific practice regardless of proximal cropland and pesticide exposure: Royal Society Open Science, v. 10, no. 11, https://doi.org/10.1098/rsos.231093.","productDescription":"231093, 12 p.","startPage":"231093","ipdsId":"IP-157224","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":441567,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsos.231093","text":"Publisher Index Page"},{"id":435116,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9Q0NAF8","text":"USGS data release","linkHelpText":"Plant and insect pollinator diversity data from Conservation Reserve Program fields across an agricultural gradient in eastern Iowa"},{"id":424274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -94.06613018879129,\n 43.47459165083325\n ],\n [\n -94.06613018879129,\n 40.39777384484779\n ],\n [\n 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0000-0002-1214-4920","orcid":"https://orcid.org/0000-0002-1214-4920","contributorId":221234,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891795,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vandever, Mark W. 0000-0003-0247-2629 vandeverm@usgs.gov","orcid":"https://orcid.org/0000-0003-0247-2629","contributorId":197674,"corporation":false,"usgs":true,"family":"Vandever","given":"Mark","email":"vandeverm@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":891796,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Givens, Carrie E. 0000-0003-2543-9610","orcid":"https://orcid.org/0000-0003-2543-9610","contributorId":247691,"corporation":false,"usgs":true,"family":"Givens","given":"Carrie","middleInitial":"E.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891797,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Cassandra 0000-0003-1088-1772 cassandrasmith@usgs.gov","orcid":"https://orcid.org/0000-0003-1088-1772","contributorId":193491,"corporation":false,"usgs":true,"family":"Smith","given":"Cassandra","email":"cassandrasmith@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891798,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolpin, Dana W. 0000-0002-3529-6505","orcid":"https://orcid.org/0000-0002-3529-6505","contributorId":204154,"corporation":false,"usgs":true,"family":"Kolpin","given":"Dana W.","affiliations":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true},{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891799,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hladik, Michelle L. 0000-0002-0891-2712","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":221087,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":891800,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70250629,"text":"70250629 - 2023 - Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir","interactions":[],"lastModifiedDate":"2023-12-21T13:08:53.986552","indexId":"70250629","displayToPublicDate":"2023-11-22T07:06:22","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3174,"text":"Proceedings of the Royal Society B: Biological Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir","docAbstract":"

Predicting the spatial occurrence of wildlife is a major challenge for ecology and management. In Latin America, limited knowledge of the number and locations of vampire bat roosts precludes informed allocation of measures intended to prevent rabies spillover to humans and livestock. We inferred the spatial distribution of vampire bat roosts while accounting for observation effort and environmental effects by fitting a log Gaussian Cox process model to the locations of 563 roosts in three regions of Peru. Our model explained 45% of the variance in the observed roost distribution and identified environmental drivers of roost establishment. When correcting for uneven observation effort, our model estimated a total of 2340 roosts, indicating that undetected roosts (76%) exceed known roosts (24%) by threefold. Predicted hotspots of undetected roosts in rabies-free areas revealed high-risk areas for future viral incursions. Using the predicted roost distribution to inform a spatial model of rabies spillover to livestock identified areas with disproportionate underreporting and indicated a higher rabies burden than previously recognized. We provide a transferrable approach to infer the distribution of a mostly unobserved bat reservoir that can inform strategies to prevent the re-emergence of an important zoonosis.

","language":"English","publisher":"The Royal Society","doi":"10.1098/rspb.2023.1739","usgsCitation":"Ribeiro, R., Matthiopoulos, J., Lindgre, F., Tello, C., Zariquiey, C.M., Valderrama, W., Rocke, T.E., and Streicker, D.G., 2023, Incorporating environmental heterogeneity and observation effort to predict host distribution and viral spillover from a bat reservoir: Proceedings of the Royal Society B: Biological Sciences, v. 209, no. 2011, 20231739, 11 p., https://doi.org/10.1098/rspb.2023.1739.","productDescription":"20231739, 11 p.","ipdsId":"IP-152468","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":441568,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rspb.2023.1739","text":"Publisher Index Page"},{"id":423836,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Peru","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.35165910540015,\n -11.766899411877915\n ],\n [\n -76.35165910540015,\n -16.706271629111924\n ],\n [\n -70.68271379289993,\n -16.706271629111924\n ],\n [\n -70.68271379289993,\n -11.766899411877915\n ],\n [\n -76.35165910540015,\n -11.766899411877915\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"209","issue":"2011","noUsgsAuthors":false,"publicationDate":"2023-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Ribeiro, Rita","contributorId":332603,"corporation":false,"usgs":false,"family":"Ribeiro","given":"Rita","email":"","affiliations":[{"id":79508,"text":"School of Biodiversity, One Health and Veterinary Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK","active":true,"usgs":false}],"preferred":false,"id":890628,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matthiopoulos, Jason","contributorId":194337,"corporation":false,"usgs":false,"family":"Matthiopoulos","given":"Jason","email":"","affiliations":[],"preferred":false,"id":890629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lindgre, Finn","contributorId":332604,"corporation":false,"usgs":false,"family":"Lindgre","given":"Finn","email":"","affiliations":[{"id":79509,"text":"School of Mathematics, University of Edinburgh, Edinburgh, UK","active":true,"usgs":false}],"preferred":false,"id":890630,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tello, Carlos","contributorId":244267,"corporation":false,"usgs":false,"family":"Tello","given":"Carlos","email":"","affiliations":[{"id":48877,"text":"ILLARIY, Asociaci´on para el Desarrollo y Conservaci´on de los Recursos Naturales Lima, Peru","active":true,"usgs":false}],"preferred":false,"id":890631,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Zariquiey, Carlos M.","contributorId":332605,"corporation":false,"usgs":false,"family":"Zariquiey","given":"Carlos","email":"","middleInitial":"M.","affiliations":[{"id":79511,"text":"ILLARIY (Asociación para el Desarrollo y Conservación de los Recursos Naturales), Lima, Perú","active":true,"usgs":false}],"preferred":false,"id":890632,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Valderrama, William","contributorId":244269,"corporation":false,"usgs":false,"family":"Valderrama","given":"William","email":"","affiliations":[{"id":48878,"text":"eILLARIY, Asociaci´on para el Desarrollo y Conservaci´on de los Recursos Naturales Lima, Peru","active":true,"usgs":false}],"preferred":false,"id":890633,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":890634,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Streicker, Daniel G. 0000-0001-7475-2705","orcid":"https://orcid.org/0000-0001-7475-2705","contributorId":152378,"corporation":false,"usgs":false,"family":"Streicker","given":"Daniel","email":"","middleInitial":"G.","affiliations":[{"id":12473,"text":"University of Glasgow","active":true,"usgs":false}],"preferred":false,"id":890635,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70250201,"text":"70250201 - 2023 - Implementing a dual-spectrometer approach for improved surface reflectance estimation","interactions":[],"lastModifiedDate":"2023-11-28T13:05:06.780243","indexId":"70250201","displayToPublicDate":"2023-11-22T07:00:45","publicationYear":"2023","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":"Implementing a dual-spectrometer approach for improved surface reflectance estimation","docAbstract":"
Surface reflectance measurement is an integral part of the vicarious calibration of satellite sensors and the validation of satellite-derived top-of-atmosphere (TOA) and surface reflectance products. A well-known practice for estimating surface reflectance is to conduct a field campaign with a spectrometer and a calibration panel, which is labor-intensive and expensive. To address this issue, the Radiometric Calibration Network, RadCalNet, has been developed, which automatically collects surface reflectance over several selected sites. Neither of these approaches can continuously track the atmosphere, which limits their ability to compensate for atmospheric transmittance change during target measurement. This paper presents the dual-spectrometer approach that uses a stationary spectrometer dedicated to continuously tracking changes in atmospheric transmittance by staring at a calibrated reference panel while the mobile spectrometer measures the target. Simultaneous measurement of the reflectance panel and target help to transfer calibration from the stationary spectrometer to the mobile spectrometer and synchronize the measurements. In this manner, atmospheric transmittance changes during target measurement can be tracked and used to reduce the variability of the target surface reflectance. This paper uses field measurement data from combined field campaigns between different calibration groups at Brookings, South Dakota, and Landsat 8 and Landsat 9 underfly efforts over Coconino National Forest, Arizona, and Guymon, Oklahoma. Preliminary results show that even in a clear sky condition, where atmospheric transmittance changes are minimal, the precision of target surface reflectance estimated using the dual-spectrometer approach is 2–6% better than the single-spectrometer approach. The dual-spectrometer approach shows the potential for a substantial improvement in the precision of the target spectral profile when the atmospheric transmittance is changing rapidly during field measurement. Results show that during non-optimal atmospheric conditions, the dual-spectrometer approach improved the precision of the surface reflectance by 50–60% compared to the single-spectrometer approach across most spectral regions. The ability to estimate surface reflectance more precisely using the dual-spectrometer approach in different atmospheric conditions improves the vicarious calibration of optical satellite sensors and the validation of both TOA and surface reflectance products.
","language":"English","publisher":"MPDI","doi":"10.3390/rs15235451","usgsCitation":"Shrestha, M., Mann, J.J., Maddox, E., Robbins, T.J., Irwin, J., Kropuenske, T., and Helder, D., 2023, Implementing a dual-spectrometer approach for improved surface reflectance estimation: Remote Sensing, v. 15, no. 23, 5451, 30 p., https://doi.org/10.3390/rs15235451.","productDescription":"5451, 30 p.","ipdsId":"IP-148498","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":441571,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs15235451","text":"Publisher Index Page"},{"id":435117,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9E3F6LV","text":"USGS data release","linkHelpText":"ECCOE 2021 Surface Reflectance Validation Dataset"},{"id":423010,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"15","issue":"23","noUsgsAuthors":false,"publicationDate":"2023-11-22","publicationStatus":"PW","contributors":{"authors":[{"text":"Shrestha, Mahesh 0000-0002-8368-6399 mshrestha@contractor.usgs.gov","orcid":"https://orcid.org/0000-0002-8368-6399","contributorId":259303,"corporation":false,"usgs":false,"family":"Shrestha","given":"Mahesh","email":"mshrestha@contractor.usgs.gov","affiliations":[{"id":54490,"text":"KBR, Inc., under contract to USGS","active":true,"usgs":false}],"preferred":true,"id":888806,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mann, Joshua J. 0000-0002-4748-0836","orcid":"https://orcid.org/0000-0002-4748-0836","contributorId":330717,"corporation":false,"usgs":false,"family":"Mann","given":"Joshua","email":"","middleInitial":"J.","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":888807,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Maddox, Emily 0000-0001-5649-1193","orcid":"https://orcid.org/0000-0001-5649-1193","contributorId":331815,"corporation":false,"usgs":false,"family":"Maddox","given":"Emily","affiliations":[{"id":53079,"text":"KBR, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":888808,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Robbins, Terry J. 0000-0001-5137-5396","orcid":"https://orcid.org/0000-0001-5137-5396","contributorId":330716,"corporation":false,"usgs":false,"family":"Robbins","given":"Terry","email":"","middleInitial":"J.","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":888809,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Irwin, Jeffrey 0000-0001-5828-0787 jrirwin@usgs.gov","orcid":"https://orcid.org/0000-0001-5828-0787","contributorId":222485,"corporation":false,"usgs":true,"family":"Irwin","given":"Jeffrey","email":"jrirwin@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":888810,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kropuenske, Travis 0000-0002-3269-4225","orcid":"https://orcid.org/0000-0002-3269-4225","contributorId":331816,"corporation":false,"usgs":false,"family":"Kropuenske","given":"Travis","email":"","affiliations":[{"id":53079,"text":"KBR, contractor to U.S. Geological Survey","active":true,"usgs":false}],"preferred":false,"id":888811,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Helder, Dennis 0000-0002-7379-4679","orcid":"https://orcid.org/0000-0002-7379-4679","contributorId":195522,"corporation":false,"usgs":false,"family":"Helder","given":"Dennis","affiliations":[],"preferred":false,"id":888812,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70251598,"text":"70251598 - 2023 - Characterization of acoustic detection efficiency using an unmanned surface vessel as a mobile receiver platform","interactions":[],"lastModifiedDate":"2024-02-20T12:13:11.257977","indexId":"70251598","displayToPublicDate":"2023-11-22T06:10:31","publicationYear":"2023","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":773,"text":"Animal Biotelemetry","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of acoustic detection efficiency using an unmanned surface vessel as a mobile receiver platform","docAbstract":"

Studies involving acoustic telemetry typically use stationary acoustic receivers arranged in an array or grid. Unmanned surface vehicle (USV)-based mobile receivers offer advantages over the latter approach: the USV can be programmed to autonomously carry a receiver to and from target locations, more readily adapting to a survey’s spatial scope and scale. This work examines the acoustic detection performance of a low-cost USV developed as a flexible sensing platform. The USV was fitted with an acoustic receiver and operated over multiple waypoints set at increasing distances from the transmitter in two modes: drifting and station-keeping. While drifting, the USV was allowed to drift from the waypoint; while station-keeping, the USV used its thruster to hold position. Detection performance of the USV was similar to that of stationary receivers while drifting, but significantly worse while station-keeping. Noise from the USV thruster was hypothesized as a potential cause of poor detection performance during station-keeping. Detection performance varied with the depth of the tethered receiver such that detection range was greater during the deepest (4.6 m) trials than during shallower (1.1 and 2.9 m) trials. These results provide insight and guidance on how a USV can be best used for acoustic telemetry, namely, navigating to a planned waypoint, drifting and lowering the receiver to a desired depth for listening, and then navigating to the next waypoint.

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