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Control of invasive species is a critical component of conservation biology given the catastrophic damage that they can cause to the ecosystems they invade. This is particularly evident with sea lamprey (Petromyzon marinus) in the Laurentian Great Lakes. Native to the Atlantic Ocean, the sea lamprey's ability to osmoregulate in fresh water, its wide thermal tolerance, generalist diet, and high fecundity allowed it to rapidly reach pest proportions in the prey-rich Great Lakes once it gained access through shipping canals. The invasion exacerbated declines in Great Lakes fisheries caused by overharvest, culminating in the crash of lake trout (Salvelinus namaycush) and other fish populations. In the last 60 years, however, a highly successful sea lamprey control program has reduced sea lamprey to ∼10% of their peak abundance and has been instrumental in enabling the rehabilitation of the Great Lakes ecosystem. In this chapter, we: (1) discuss the likely vectors of the invasion and the physiological attributes of sea lamprey that enabled them to become established in the Great Lakes; (2) review the two cornerstones of the sea lamprey control program—which relies on a combination of pesticides to eradicate multiple generations of larval sea lamprey in their nursey streams, and in-stream barriers to restrict the upstream migration of spawning lamprey—both of which exploit unique physiological vulnerabilities of sea lamprey; (3) describe how sea lamprey control can adversely affect non-target species and how these can be mitigated; (4) show how physiology-based approaches are improving our understanding of the lethal and sublethal effects of sea lamprey on host fishes; and (5) discuss the future of conservation physiology in sea lamprey control. The prime challenge in the next several decades of the Anthropocene will be to further refine the specificity of control tools while maintaining their efficacy, and to adapt to a warming climate and other anthropogenic activities affecting the Great Lakes and their tributaries.

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Using new remote sensing technology to study agricultural crops will support advances in food and water security. The recently launched, new generation spaceborne hyperspectral sensors, German DLR Earth Sensing Imaging Spectrometer (DESIS) and Italian PRecursore IperSpettrale della Missione Applicativa (PRISMA), provide unprecedented data in hundreds of narrow spectral bands for the study of the Earth. Therefore, our overarching goal in this study was to use these data to explore advances that can be made in agricultural research. We selected PRISMA and DESIS images during the 2020 growing season in California's Central Valley to study seven major crops. PRISMA and DESIS images were highly correlated (R 2of 0.9–0.95). Out of the 235 DESIS bands (400–1000 nm) and 238 PRISMA bands (400–2500 nm), 26 (11%) and 45 (19%) bands, respectively, were optimal to study agricultural crops. These optimal bands provided crop type classification accuracies of 83–90%. Hyperspectral vegetation indices to estimate plant pigment content, stress, biomass, moisture, and cellulose/lignin content were also identified.

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","language":"English","publisher":"U.S. Geological Survey","usgsCitation":"Hartpence, A., 2022, November 22 Landsat update: Landsat Update, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-146833","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":409991,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":409990,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.usgs.gov/landsat-missions/news/november-2022-landsat-update"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hartpence, Anya 0000-0002-4510-3236","orcid":"https://orcid.org/0000-0002-4510-3236","contributorId":247379,"corporation":false,"usgs":false,"family":"Hartpence","given":"Anya","email":"","affiliations":[{"id":48475,"text":"KBR, Contractor to USGS EROS","active":true,"usgs":false}],"preferred":false,"id":858228,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70239144,"text":"70239144 - 2022 - USGS Telemetry Project","interactions":[],"lastModifiedDate":"2024-03-21T16:55:38.758101","indexId":"70239144","displayToPublicDate":"2022-11-01T07:24:51","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":9543,"text":"Interim Summary Report","active":true,"publicationSubtype":{"id":3}},"title":"USGS Telemetry Project","docAbstract":"

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0000-0002-9195-738X","orcid":"https://orcid.org/0000-0002-9195-738X","contributorId":213966,"corporation":false,"usgs":true,"family":"Harrison","given":"Travis","email":"","middleInitial":"J.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":860346,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Appel, Douglas 0000-0001-8775-1058","orcid":"https://orcid.org/0000-0001-8775-1058","contributorId":268159,"corporation":false,"usgs":true,"family":"Appel","given":"Douglas","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":860343,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fritts, Andrea K. 0000-0003-2142-3339","orcid":"https://orcid.org/0000-0003-2142-3339","contributorId":204594,"corporation":false,"usgs":true,"family":"Fritts","given":"Andrea","email":"","middleInitial":"K.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":860345,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Duncker, James J. 0000-0001-5464-7991 jduncker@usgs.gov","orcid":"https://orcid.org/0000-0001-5464-7991","contributorId":4316,"corporation":false,"usgs":true,"family":"Duncker","given":"James","email":"jduncker@usgs.gov","middleInitial":"J.","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":860344,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jackson, P. Ryan 0000-0002-3154-6108 pjackson@usgs.gov","orcid":"https://orcid.org/0000-0002-3154-6108","contributorId":194529,"corporation":false,"usgs":true,"family":"Jackson","given":"P.","email":"pjackson@usgs.gov","middleInitial":"Ryan","affiliations":[{"id":35680,"text":"Illinois-Iowa-Missouri Water Science Center","active":true,"usgs":true},{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true},{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":860341,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70238323,"text":"70238323 - 2022 - Occurrence of a reproducing wild population of Channa aurolineata (Pisces: Channidae) in the Manatee River drainage, Florida","interactions":[],"lastModifiedDate":"2023-03-28T15:31:28.449045","indexId":"70238323","displayToPublicDate":"2022-11-01T06:56:38","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":868,"text":"Aquatic Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Occurrence of a reproducing wild population of Channa aurolineata (Pisces: Channidae) in the Manatee River drainage, Florida","docAbstract":"

We report on the discovery of a wild, reproducing population of Channa aurolineata (Pisces: Channidae) in west-central Florida (USA), and first documented occurrence of snakeheads in the Gulf Coast region. Channa aurolineata is a large, predatory fish of the bullseye snakehead “Marulius group” species complex from Asia. Adult and juvenile specimens were captured in June 2020 in a 1.8-hectare pond that connects during high water to a small stream within the Manatee River-Tampa Bay Basin. The pond site is 250-km from the only other wild C. aurolineata population in the USA (present in southeast Florida since ca. 2000) and is considered a separate introduction and not the result of natural dispersal. Morphological and molecular comparisons revealed high overlap between the two Florida populations, evidence humans may have transported fish between sites. To verify identification, we compared Florida samples to C. aurolineata from Thailand and found mtDNA-COI barcode sequences to be identical or to differ by only a single base pair. Life body coloration of Florida samples matched their Asian counterparts, but Florida specimens averaged fewer dorsal fin rays (53.6 vs. 56.0), anal fin rays (34.2 vs 36.1), lateral line scales (65.3 vs. 67.4), and vertebrae (62.1 vs. 64.3), differences implying possible founder effect or sampling bias. Existence of this invasive predator is a concern because of the risk of spread and negative ecological effects, including an observation of terrestrial hunting behavior. In 2020–2021, several hundred C. aurolineata were removed from the pond by nets and electrofishing, and surveys suggested the population had not spread to nearby waters. In May 2021 the pond was treated with rotenone and 48 more specimens were recovered. No additional snakeheads have been sighted since the piscicide operation, although verification of eradication will require monitoring of the watershed.

","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre (REABIC)","doi":"10.3391/ai.2022.17.4.07","usgsCitation":"Nico, L., Neilson, M., Robins, R.H., Pfeiffer, J., Kail, M., Randall, Z.S., and Johnson, E.A., 2022, Occurrence of a reproducing wild population of Channa aurolineata (Pisces: Channidae) in the Manatee River drainage, Florida: Aquatic Invasions, v. 17, no. 4, p. 577-601, https://doi.org/10.3391/ai.2022.17.4.07.","productDescription":"25 p.; Data Release","startPage":"577","endPage":"601","ipdsId":"IP-135993","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":445971,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3391/ai.2022.17.4.07","text":"Publisher Index Page"},{"id":414829,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9J71VWW","linkFileType":{"id":5,"text":"html"}},{"id":409382,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Manatee River drainage","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.69123997431116,\n 27.59323900275288\n ],\n [\n -82.69123997431116,\n 27.368302299325308\n ],\n [\n -82.27542527747138,\n 27.368302299325308\n ],\n [\n -82.27542527747138,\n 27.59323900275288\n ],\n [\n -82.69123997431116,\n 27.59323900275288\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"17","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Nico, Leo 0000-0002-4488-7737","orcid":"https://orcid.org/0000-0002-4488-7737","contributorId":219308,"corporation":false,"usgs":true,"family":"Nico","given":"Leo","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":857095,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neilson, Matthew 0000-0002-5139-5677","orcid":"https://orcid.org/0000-0002-5139-5677","contributorId":213998,"corporation":false,"usgs":true,"family":"Neilson","given":"Matthew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":857096,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robins, Robert H.","contributorId":292263,"corporation":false,"usgs":false,"family":"Robins","given":"Robert","email":"","middleInitial":"H.","affiliations":[{"id":40459,"text":"Florida Museum, University of Florida","active":true,"usgs":false}],"preferred":false,"id":857097,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pfeiffer, John M.","contributorId":202521,"corporation":false,"usgs":false,"family":"Pfeiffer","given":"John M.","affiliations":[{"id":36469,"text":"Florida Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":857098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Kail, Matthew","contributorId":299079,"corporation":false,"usgs":false,"family":"Kail","given":"Matthew","affiliations":[],"preferred":false,"id":857099,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Randall, Zachary S. 0000-0001-8973-3304","orcid":"https://orcid.org/0000-0001-8973-3304","contributorId":299081,"corporation":false,"usgs":false,"family":"Randall","given":"Zachary","email":"","middleInitial":"S.","affiliations":[{"id":64761,"text":"Division of Ichthyology, Florida Museum, University of Florida","active":true,"usgs":false}],"preferred":false,"id":857100,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Johnson, Eric A.","contributorId":80158,"corporation":false,"usgs":false,"family":"Johnson","given":"Eric","email":"","middleInitial":"A.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":857101,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70238321,"text":"70238321 - 2022 - Gaining decision-maker confidence through community consensus: Developing environmental DNA standards for data display on the USGS Nonindigenous Aquatic Species database","interactions":[],"lastModifiedDate":"2022-11-16T12:50:55.92911","indexId":"70238321","displayToPublicDate":"2022-11-01T06:49:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2655,"text":"Management of Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Gaining decision-maker confidence through community consensus: Developing environmental DNA standards for data display on the USGS Nonindigenous Aquatic Species database","docAbstract":"

To advance national efforts for the detection and biosurveillance of aquatic invasive species (AIS), we employed a community consensus process to enable the incorporation of environmental DNA (eDNA) detection data into the U.S. Geological Survey’s (USGS) Nonindigenous Aquatic Species (NAS) database (https://nas.er.usgs.gov/eDNA/). Our goal was to identify minimum standards and best practices for the verification of eDNA data by working closely with AIS eDNA community practitioners and natural resource managers across government, private and academic sectors. To better inform management decisions, verified AIS eDNA data will be displayed on a separate mapping layer alongside visual sighting data with the inclusion of additional information on the eDNA methods employed to collect and produce the data. To allow for eDNA data display, we produced consensus derived online documents including a submission application and data submission template and are developing a guidance document for detailing the eDNA data submission process. We also developed a communication plan including a mechanism for reporting detections to appropriate managers for consideration prior to display. The products of these efforts are an application and data submission process that will be used in the new environmental DNA data layer on the Nonindigenous Aquatic Species (NAS) database. Herein, we detail how we engaged the eDNA community for consensus of our standards, share lessons learned from the process, and describe the benefits of such an approach at instilling confidence among the research and decision-maker community.

","language":"English","publisher":"Regional Euro-Asian Biological Invasions Centre (REABIC)","usgsCitation":"Ferrante, J., Daniel, W., Freedman, J.A., Klymus, K.E., Neilson, M., Passamaneck, Y., Rees, C., Sepulveda, A.J., and Hunter, M., 2022, Gaining decision-maker confidence through community consensus: Developing environmental DNA standards for data display on the USGS Nonindigenous Aquatic Species database: Management of Biological Invasions, v. 13, no. 4, p. 809-832.","productDescription":"24 p.","startPage":"809","endPage":"832","ipdsId":"IP-137639","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":409381,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":409373,"type":{"id":15,"text":"Index Page"},"url":"https://www.reabic.net/journals/mbi/2022/Issue4.aspx"}],"volume":"13","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ferrante, Jason 0000-0003-3453-4636","orcid":"https://orcid.org/0000-0003-3453-4636","contributorId":214738,"corporation":false,"usgs":true,"family":"Ferrante","given":"Jason","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":857086,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Daniel, Wesley M. 0000-0002-7656-8474","orcid":"https://orcid.org/0000-0002-7656-8474","contributorId":219320,"corporation":false,"usgs":true,"family":"Daniel","given":"Wesley M.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":857087,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Freedman, Jonathan Adam 0000-0001-7140-8028","orcid":"https://orcid.org/0000-0001-7140-8028","contributorId":224222,"corporation":false,"usgs":true,"family":"Freedman","given":"Jonathan","email":"","middleInitial":"Adam","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":857088,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Klymus, Katy E. 0000-0002-8843-6241 kklymus@usgs.gov","orcid":"https://orcid.org/0000-0002-8843-6241","contributorId":5043,"corporation":false,"usgs":true,"family":"Klymus","given":"Katy","email":"kklymus@usgs.gov","middleInitial":"E.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":857089,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Neilson, Matthew 0000-0002-5139-5677","orcid":"https://orcid.org/0000-0002-5139-5677","contributorId":219310,"corporation":false,"usgs":true,"family":"Neilson","given":"Matthew","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":857090,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Passamaneck, Yale","contributorId":270026,"corporation":false,"usgs":false,"family":"Passamaneck","given":"Yale","affiliations":[],"preferred":false,"id":857091,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rees, Christopher B.","contributorId":196308,"corporation":false,"usgs":false,"family":"Rees","given":"Christopher B.","affiliations":[],"preferred":false,"id":857092,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":857093,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hunter, Margaret 0000-0002-4760-9302","orcid":"https://orcid.org/0000-0002-4760-9302","contributorId":207584,"corporation":false,"usgs":true,"family":"Hunter","given":"Margaret","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":857094,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70266792,"text":"70266792 - 2022 - A statistical framework for modelling migration corridors","interactions":[],"lastModifiedDate":"2025-05-13T15:19:21.848873","indexId":"70266792","displayToPublicDate":"2022-11-01T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"A statistical framework for modelling migration corridors","docAbstract":"

1. Management of animal populations requires spatially explicit knowledge of movement corridors, such as those used during seasonal migrations. GPS tracking data allows for mapping of corridors from directly observed movements, providing important insights, but tracking data is absent for many populations.

2. We developed a novel statistical corridor modeling approach that predicts movement corridors from cost-distance movement models fit directly to migration tracking data. Unlike existing predictive approaches, this does not require the ad-hoc transformation of habitat suitability surfaces into resistance surfaces. We tested the ability of the approach to recover parameters used to generate simulated movements. We then used GPS data from three migrating mule deer (Odocoileus hemionus) herds in Idaho and Wyoming to model corridors as a function of elevation, slope, aspect, percent shrub, date of peak green-up, snow-off date, and human footprint. We assessed the predictive ability of the fitted models using validation tracks from the same herd as well as from the other herds.

3. The approach reproduced parameters used to generate the simulated movements, predicted the corridors used by migratory populations, and described the direction, magnitude, and confidence levels of the effects of environmental variables on corridors. The effects environmental variables had on corridors differed depending on the herd. Within-herd validation indicated that fitted corridor models are more accurate at predicting migration corridors than null models, and cross-herd validation indicated that fitted models for some herds accurately predicted the observed migrations of other herds.

4. In addition to the practical benefit of mapping corridors for management, our statistical corridor modeling framework sets the stage for evaluating fundamental questions about the fitness tradeoffs, navigation, learning, fidelity, and movement constraints that influence migratory and other corridor-generating behavior. Models of predictive corridors can inform management and planning for the conservation of migrations across taxa, including the potential restoration of corridors. Our corridor modeling approach is also readily applied to non-migratory animal movements.

","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210x.13969","usgsCitation":"Nuñez, T., Hurley, M., Graves, T., Ortega, A., Sawyer, H., Fattebert, J., Merkle, J., and Kauffman, M., 2022, A statistical framework for modelling migration corridors: Methods in Ecology and Evolution, v. 13, no. 11, p. 2635-2648, https://doi.org/10.1111/2041-210x.13969.","productDescription":"14 p.","startPage":"2635","endPage":"2648","ipdsId":"IP-136728","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":488193,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13969","text":"Publisher Index Page"},{"id":485818,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Wyoming","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -116.51571099773642,\n 45.9008891737889\n ],\n [\n -116.51571099773642,\n 42.05335013528642\n ],\n [\n -108.42991483721727,\n 42.05335013528642\n ],\n [\n -108.42991483721727,\n 45.9008891737889\n ],\n [\n -116.51571099773642,\n 45.9008891737889\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"13","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-09-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Nuñez, Tristan A.","contributorId":355041,"corporation":false,"usgs":false,"family":"Nuñez","given":"Tristan A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":936789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hurley, Mark A.","contributorId":355042,"corporation":false,"usgs":false,"family":"Hurley","given":"Mark A.","affiliations":[{"id":36224,"text":"Idaho Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":936790,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Graves, Tabitha A. 0000-0001-5145-2400","orcid":"https://orcid.org/0000-0001-5145-2400","contributorId":202084,"corporation":false,"usgs":true,"family":"Graves","given":"Tabitha A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":936791,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ortega, Anna C.","contributorId":355044,"corporation":false,"usgs":false,"family":"Ortega","given":"Anna C.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":936792,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sawyer, Hall","contributorId":355048,"corporation":false,"usgs":false,"family":"Sawyer","given":"Hall","affiliations":[{"id":84702,"text":"Western EcoSystems Technology (WEST), Inc.,","active":true,"usgs":false}],"preferred":false,"id":936793,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fattebert, Julien","contributorId":355051,"corporation":false,"usgs":false,"family":"Fattebert","given":"Julien","affiliations":[{"id":84703,"text":"University of Wyoming,","active":true,"usgs":false}],"preferred":false,"id":936794,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Merkle, Jerod A.","contributorId":355052,"corporation":false,"usgs":false,"family":"Merkle","given":"Jerod A.","affiliations":[{"id":36628,"text":"University of Wyoming","active":true,"usgs":false}],"preferred":false,"id":936795,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kauffman, Matthew J. 0000-0003-0127-3900","orcid":"https://orcid.org/0000-0003-0127-3900","contributorId":202921,"corporation":false,"usgs":true,"family":"Kauffman","given":"Matthew","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":936796,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70262264,"text":"70262264 - 2022 - Viewing animal migration through a social lens","interactions":[],"lastModifiedDate":"2025-01-16T16:05:40.617376","indexId":"70262264","displayToPublicDate":"2022-11-01T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5980,"text":"Trends in Ecology & Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Viewing animal migration through a social lens","docAbstract":"Evidence of social learning is growing across the animal kingdom. Researchers have long hypothesized that social interactions play a key role in many animal migrations, but strong empirical support is scarce except in a few unique systems and species. Here, we aim to catalyze advances in the study of social migrations by synthesizing research across disciplines and providing a framework for understanding when, how, and why social influences shape the decisions animals make during migration. Integrating research across the fields of social learning and migration ecology will advance our understanding of the complex behavioral phenomena of animal migration and help to inform conservation of animal migrations in a changing world.","language":"English","publisher":"Elsevier","doi":"10.1016/j.tree.2022.06.008","usgsCitation":"Aikens, E., Bontekoe, I., Blumenstiel, L., Schlicksupp, A., and Flack, A., 2022, Viewing animal migration through a social lens: Trends in Ecology & Evolution, v. 37, no. 11, p. 985-996, https://doi.org/10.1016/j.tree.2022.06.008.","productDescription":"12 p.","startPage":"985","endPage":"996","ipdsId":"IP-140677","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467152,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.tree.2022.06.008","text":"Publisher Index Page"},{"id":466635,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"11","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Aikens, Ellen O.","contributorId":287807,"corporation":false,"usgs":false,"family":"Aikens","given":"Ellen O.","affiliations":[{"id":12729,"text":"UW","active":true,"usgs":false}],"preferred":false,"id":924118,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bontekoe, Iris D.","contributorId":348669,"corporation":false,"usgs":false,"family":"Bontekoe","given":"Iris D.","affiliations":[{"id":55536,"text":"University of Konstanz","active":true,"usgs":false}],"preferred":false,"id":923693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Blumenstiel, Lara","contributorId":348672,"corporation":false,"usgs":false,"family":"Blumenstiel","given":"Lara","affiliations":[{"id":55536,"text":"University of Konstanz","active":true,"usgs":false}],"preferred":false,"id":923694,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schlicksupp, Anna","contributorId":348675,"corporation":false,"usgs":false,"family":"Schlicksupp","given":"Anna","affiliations":[{"id":83398,"text":"Collective Migration Group","active":true,"usgs":false}],"preferred":false,"id":923695,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Flack, Andrea","contributorId":348676,"corporation":false,"usgs":false,"family":"Flack","given":"Andrea","affiliations":[{"id":55536,"text":"University of Konstanz","active":true,"usgs":false}],"preferred":false,"id":923696,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70262352,"text":"70262352 - 2022 - Seasonal movements and spatial overlap of juvenile and adult lake sturgeon in Lake Champlain","interactions":[],"lastModifiedDate":"2025-01-17T15:36:08.047546","indexId":"70262352","displayToPublicDate":"2022-11-01T00:00:00","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":13429,"text":"Transactions of American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Seasonal movements and spatial overlap of juvenile and adult lake sturgeon in Lake Champlain","docAbstract":"

The lake sturgeon Acipenser fulvescens is a large, long-lived, potamodromous species that is widely distributed throughout freshwater systems in the central part of North America. In this study, we used acoustic telemetry to examine seasonal distribution and movement patterns of endangered Lake Sturgeon in Lake Champlain, Vermont. Acoustic tags were implanted in 29 juvenile Lake Sturgeon (453–874 mm TL) and 19 adults (1,215–1,615 mm TL) from the Winooski River and nearby areas of Lake Champlain between 2015 and 2019; tags were detected with 23 passive acoustic receivers deployed in the river and delta area and an additional 34 receivers deployed throughout Lake Champlain. Home range analysis using a lattice-based density estimator indicated that juvenile home range sizes were the same as adult home range sizes in spring and summer but were statistically larger than adult home ranges in winter. Cumulative home range analysis showed that juvenile and adult home ranges overlapped in shallow (<10-m) water in the summer and fall. In winter and spring, cumulative home ranges from juveniles included deepwater sites (>25 m), while adults remained in shallow water near the mouth of their spawning river. Seven juveniles made long-range movements (18–34 km) during the winter and spring months, and 13 juveniles moved back into the lower section of their natal river after overwintering in Lake Champlain. This study is the first to directly compare adult and juvenile Lake Sturgeon distribution, home range size, movements, and habitat use in a large lake system and provides a baseline for further research on the movement ecology of Lake Sturgeon in Lake Champlain.

","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10378","usgsCitation":"Izzo, L., Zydlewski, G., Marsden, J., and Parrish, D.L., 2022, Seasonal movements and spatial overlap of juvenile and adult lake sturgeon in Lake Champlain: Transactions of American Fisheries Society, v. 151, no. 6, p. 666-681, https://doi.org/10.1002/tafs.10378.","productDescription":"16 p.","startPage":"666","endPage":"681","ipdsId":"IP-140091","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481073,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/tafs.10378","text":"Publisher Index Page"},{"id":480734,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Vermont","otherGeospatial":"Lake Champlain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.36468763012583,\n 44.65163325219339\n ],\n [\n -73.36468763012583,\n 44.396369652793226\n ],\n [\n -73.12430847320215,\n 44.396369652793226\n ],\n [\n -73.12430847320215,\n 44.65163325219339\n ],\n [\n -73.36468763012583,\n 44.65163325219339\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"151","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-09-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Izzo, Lisa K.","contributorId":348951,"corporation":false,"usgs":false,"family":"Izzo","given":"Lisa K.","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":923896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zydlewski, Gayle Barbin","contributorId":348952,"corporation":false,"usgs":false,"family":"Zydlewski","given":"Gayle Barbin","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":923897,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marsden, J. Ellen","contributorId":348955,"corporation":false,"usgs":false,"family":"Marsden","given":"J. Ellen","affiliations":[{"id":13253,"text":"University of Vermont","active":true,"usgs":false}],"preferred":false,"id":923898,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parrish, Donna L. 0000-0001-9693-6329 dparrish@usgs.gov","orcid":"https://orcid.org/0000-0001-9693-6329","contributorId":138661,"corporation":false,"usgs":true,"family":"Parrish","given":"Donna","email":"dparrish@usgs.gov","middleInitial":"L.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923899,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70237880,"text":"ofr20221091 - 2022 - Juvenile green sturgeon (Acipenser medirostris) movement during autumn and winter in the lower Sacramento River, California, 2016–20","interactions":[],"lastModifiedDate":"2022-12-08T18:13:31.83","indexId":"ofr20221091","displayToPublicDate":"2022-10-31T12:10:33","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-1091","displayTitle":"Juvenile Green Sturgeon (Acipenser medirostris) Movement During Autumn and Winter in the Lower Sacramento River, California, 2016–20","title":"Juvenile green sturgeon (Acipenser medirostris) movement during autumn and winter in the lower Sacramento River, California, 2016–20","docAbstract":"

A collaborative acoustic telemetry study was conducted to describe behavior and movement patterns of juvenile green sturgeon (Acipenser medirostris) in the lower Sacramento River, California during 2016–19. For the study, juvenile green sturgeon were collected, tagged, and released in the Sacramento River between river kilometer (rkm) 467 and rkm 419 near Red Bluff, California. Telemetry monitoring sites were located between rkm 464 and rkm 1 to detect tagged fish that moved downstream. In this report, we describe movement patterns of juvenile green sturgeon in the lower Sacramento River between rkm 167 and rkm 52. In total, 98 juvenile green sturgeon were tagged and released during the study and 46 of these fish moved downstream and were detected in the lower Sacramento River. Downstream movement appeared to be associated with periods of increasing river flow, and the greatest percentage of tagged fish were detected moving downstream during the first period of increased streamflow each autumn. The number of tagged fish that were detected decreased in lower reaches of the study area, but it’s not clear if this was because fish experienced mortality while moving downstream, stopped moving downstream to rear in study reaches, or their transmitters stopped working due to battery life limitations. We did find that several fish were detected moving upstream between telemetry monitoring sites in the lower reaches of the study area. This study provides new insights into movement patterns and behavior of juvenile green sturgeon in the lower Sacramento River, but additional research will be required to better understand factors such as survival and how fish respond to estuarine conditions.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20221091","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers","usgsCitation":"Hansen, A.C., Chase, R.D., Kock, T.J., Perry, R.W., Gruber, J.J., and Poytress, W.R., 2022, Juvenile green sturgeon (Acipenser medirostris) movement during autumn and winter in the lower Sacramento River, California, 2016–20: U.S. Geological Survey Open-File Report 2022–1091, 17 p., https://doi.org/10.3133/ofr20221091.","productDescription":"vii, 17 p.","onlineOnly":"Y","ipdsId":"IP-139543","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":408893,"rank":5,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2022/1091/ofr20221091.XML"},{"id":408892,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2022/1091/images"},{"id":408890,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2022/1091/ofr20221091.pdf","text":"Report","size":"4.3 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2022-1091"},{"id":408889,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2022/1091/coverthb.jpg"},{"id":408891,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20221091/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"OFR 2022-1091"}],"country":"United States","state":"California","otherGeospatial":"Lower Sacramento River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.22303530664792,\n 37.892351455555556\n ],\n [\n -121.08045718164777,\n 37.892351455555556\n ],\n [\n -121.08045718164777,\n 38.64643627131957\n ],\n [\n -122.22303530664792,\n 38.64643627131957\n ],\n [\n -122.22303530664792,\n 37.892351455555556\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

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

","tableOfContents":"","publishedDate":"2022-10-31","noUsgsAuthors":false,"publicationDate":"2022-10-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Hansen, Amy C. 0000-0002-0298-9137 achansen@usgs.gov","orcid":"https://orcid.org/0000-0002-0298-9137","contributorId":4350,"corporation":false,"usgs":true,"family":"Hansen","given":"Amy","email":"achansen@usgs.gov","middleInitial":"C.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":856166,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chase, Robert D.","contributorId":298626,"corporation":false,"usgs":false,"family":"Chase","given":"Robert","email":"","middleInitial":"D.","affiliations":[{"id":590,"text":"U.S. Army Corps of Engineers","active":false,"usgs":false}],"preferred":false,"id":856167,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kock, Tobias J. 0000-0001-8976-0230 tkock@usgs.gov","orcid":"https://orcid.org/0000-0001-8976-0230","contributorId":3038,"corporation":false,"usgs":true,"family":"Kock","given":"Tobias","email":"tkock@usgs.gov","middleInitial":"J.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":856168,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":856169,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gruber, Josh J.","contributorId":298627,"corporation":false,"usgs":false,"family":"Gruber","given":"Josh","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":856170,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Poytress, William R.","contributorId":196887,"corporation":false,"usgs":false,"family":"Poytress","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":856171,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70237675,"text":"dr1164 - 2022 - Materials flow in the United States—A global context, 1900–2020","interactions":[{"subject":{"id":70190027,"text":"fs20173062 - 2017 - Use of raw materials in the United States from 1900 through 2014","indexId":"fs20173062","publicationYear":"2017","noYear":false,"title":"Use of raw materials in the United States from 1900 through 2014"},"predicate":"SUPERSEDED_BY","object":{"id":70237675,"text":"dr1164 - 2022 - Materials flow in the United States—A global context, 1900–2020","indexId":"dr1164","publicationYear":"2022","noYear":false,"title":"Materials flow in the United States—A global context, 1900–2020"},"id":1}],"lastModifiedDate":"2026-03-18T19:37:01.949605","indexId":"dr1164","displayToPublicDate":"2022-10-31T08:15:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":9318,"text":"Data Report","code":"DR","onlineIssn":"2771-9448","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1164","displayTitle":"Materials Flow in the United States—A Global Context, 1900–2020","title":"Materials flow in the United States—A global context, 1900–2020","docAbstract":"

Introduction

During the last 12 decades (1900–2020), the amounts of raw materials used in the United States have increased significantly due to economic development, technological innovations, and population growth. Data on materials are presented here to provide an overview of the annual quantities (measured in physical terms) required for the standard of living in the United States and to provide insights into the consumption trajectory that developing countries may follow. The consumption patterns driving the use of raw materials were analyzed through the lens of economic disruptions and expansions during this period, illustrating the linkages between the selected materials and economic development. These annual material inputs to the U.S. economy (excluding food or fuel) were also analyzed in a global context. The data used were gathered by various agencies and compiled by the U.S. Geological Survey.

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[Supersedes USGS Fact Sheet 2017–3062.]","productDescription":"Report: iv, 23 p.; 2 Tables","numberOfPages":"23","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-139829","costCenters":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"links":[{"id":408502,"rank":7,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/dr/1164/dr1164_table5.csv","text":"Table 5","size":"8.48 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- In CSV format"},{"id":408497,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dr/1164/dr1164.pdf","text":"Report","size":"1.02 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DR 1164"},{"id":408496,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/dr/1164/coverthb.jpg"},{"id":408499,"rank":4,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/dr/1164/dr1164_table2.xlsx","text":"Table 2","size":"22.0 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Center Director, National Minerals Information Center
U.S. Geological Survey
991 National Center
Reston, VA 20192

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2022-10-31","noUsgsAuthors":false,"publicationDate":"2022-10-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Matos, Grecia R. 0000-0002-3285-3070 gmatos@usgs.gov","orcid":"https://orcid.org/0000-0002-3285-3070","contributorId":2656,"corporation":false,"usgs":true,"family":"Matos","given":"Grecia","email":"gmatos@usgs.gov","middleInitial":"R.","affiliations":[{"id":432,"text":"National Minerals Information Center","active":true,"usgs":true}],"preferred":false,"id":854946,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70238109,"text":"70238109 - 2022 - Know what you don't know: Embracing state uncertainty in disease-structured multistate models","interactions":[],"lastModifiedDate":"2022-12-15T15:44:51.910487","indexId":"70238109","displayToPublicDate":"2022-10-31T07:27:05","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Know what you don't know: Embracing state uncertainty in disease-structured multistate models","docAbstract":"
  1. Hidden Markov models (HMMs) are broadly applicable hierarchical models that derive their utility from separating state processes from observation processes yielding the data. Multistate models such as mark–recapture and dynamic multistate occupancy models are HMMs frequently used in ecology. In their early formulations, states, such as pathogen infection status, were assumed to be perfectly observed without ambiguity. However, state uncertainty is a pervasive feature of many ecological studies, and multievent models were developed to explicitly account for it.
  2. We developed a novel extended multievent mark–recapture model that incorporates state uncertainty at multiple levels of detection. Using a disease-structured example, both false negative and false positive state assignment errors are modelled at two levels of state assignment—the pathogen sampling process and the diagnostic process that samples are subjected to. We additionally describe methods to jointly model infection intensity to integrate heterogeneity in ecological parameters, such as mortality and infection dynamics, and the pathogen detection processes. We provide code to simulate and analyse datasets with various underlying ecological processes and fit our model to a mark–recapture dataset of Mixophyes fleayi (Fleay's barred frog) infected with the amphibian chytrid fungus (Batrachochytrium dendrobatidis, Bd).
  3. In our case study, we found evidence for various state assignment errors: the sampling protocol performed poorly in detecting Bd, pathogen detection was highly dependent on infection intensity and false positives were non-negligible. Incorporating state uncertainty yielded significantly higher estimates of infection prevalence and 4–5 times lower rates of infection state transitions compared to those obtained from a traditional multistate model.
  4. Our results highlight that incorporating state assignment errors improves inference on the ecological process, especially when sensitivity and specificity of the state assignment processes are low. The general model structure can be applied to other HMMs, providing a foundation for modelling state uncertainty in related models. For disease-structured multistate models, we recommend conducting robust design surveys and collecting samples during each capture event to facilitate incorporating pathogen detection errors.
","language":"English","publisher":"British Ecological Society","doi":"10.1111/2041-210X.13993","usgsCitation":"Hollanders, M., and Royle, A., 2022, Know what you don't know: Embracing state uncertainty in disease-structured multistate models: Methods in Ecology and Evolution, v. 13, no. 12, p. 2827-2837, https://doi.org/10.1111/2041-210X.13993.","productDescription":"11 p.","startPage":"2827","endPage":"2837","ipdsId":"IP-143355","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":445975,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13993","text":"Publisher Index Page"},{"id":409291,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"13","issue":"12","noUsgsAuthors":false,"publicationDate":"2022-10-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Hollanders, Matthijs","contributorId":299029,"corporation":false,"usgs":false,"family":"Hollanders","given":"Matthijs","email":"","affiliations":[{"id":64751,"text":"Southern Cross University, Lismore, New South Wales","active":true,"usgs":false}],"preferred":false,"id":856901,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Royle, J. Andrew 0000-0003-3135-2167 aroyle@usgs.gov","orcid":"https://orcid.org/0000-0003-3135-2167","contributorId":146229,"corporation":false,"usgs":true,"family":"Royle","given":"J. Andrew","email":"aroyle@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":856902,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70238396,"text":"70238396 - 2022 - A characterization of the deep-sea coral and sponge community along the California, Oregon, and Washington coasts using a remotely operated vehicle on the EXPRESS 2019 expedition","interactions":[],"lastModifiedDate":"2023-03-28T15:33:35.490838","indexId":"70238396","displayToPublicDate":"2022-10-31T07:13:06","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"title":"A characterization of the deep-sea coral and sponge community along the California, Oregon, and Washington coasts using a remotely operated vehicle on the EXPRESS 2019 expedition","docAbstract":"

NOAA’s Deep-Sea Coral Research Technology Program (DSCRTP) began a 4-year funding initiative for the U.S. West Coast in 2018. The goals of the West Coast Deep-Sea Coral Initiative were to: 1) gather baseline information on DSCS in areas subject to fishing regulation changes prior to the implementation of Amendment 28; 2) improve our understanding of known DSCS bycatch “hot spots”; and 3) explore and assess DSCS resources within NOAA National Marine Sanctuaries with emphasis on areas of sanctuary resource protection and management concerns. Following the 2018 research expedition supported by NOAA Ship Bell M. Shimada (Laidig et al., 2021), a second research cruise was planned for 2019 to further survey seafloor communities in priority areas off the West Coast from Washington to California. The 2019 expedition spanned 35 days (4 Oct – 7 Nov) and was conducted from the NOAA Ship Reuben Lasker (hereafter referred to as “the ship”), beginning and ending in San Diego, CA. Surveys were conducted in deeper areas (generally 500-1200 m) in 2019 than in 2018 (limited to <650 m). These two expeditions provide data on seafloor communities and DSCS assemblages over a broad range of depths 50-1200 m.

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0000-0003-3809-2601","orcid":"https://orcid.org/0000-0003-3809-2601","contributorId":215719,"corporation":false,"usgs":true,"family":"Bourque","given":"Jill","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":857364,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McClain Counts, Jennifer 0000-0002-3383-5472","orcid":"https://orcid.org/0000-0002-3383-5472","contributorId":219233,"corporation":false,"usgs":true,"family":"McClain Counts","given":"Jennifer","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":857365,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Demopoulos, Amanda 0000-0003-2096-4694","orcid":"https://orcid.org/0000-0003-2096-4694","contributorId":222192,"corporation":false,"usgs":true,"family":"Demopoulos","given":"Amanda","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":857366,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70239143,"text":"70239143 - 2022 - On the use of high-resolution and deep-learning seismic catalogs for short-term earthquake forecasts: Potential benefits and current limitations","interactions":[],"lastModifiedDate":"2022-12-29T13:12:05.588882","indexId":"70239143","displayToPublicDate":"2022-10-31T07:09:26","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12989,"text":"Journal of Geophysical Research--Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"On the use of high-resolution and deep-learning seismic catalogs for short-term earthquake forecasts: Potential benefits and current limitations","docAbstract":"

Enhanced earthquake catalogs provide detailed images of evolving seismic sequences. Currently, these data sets take some time to be released but will soon become available in real time. Here, we explore whether and how enhanced seismic catalogs feeding into established short-term earthquake forecasting protocols may result in higher predictive skill. We consider three enhanced catalogs for the 2016–2017 Central Italy sequence, featuring a bulk completeness lower by at least two magnitude units compared to the real-time catalog and an improved hypocentral resolution. We use them to inform a set of physical Coulomb Rate-and-State (CRS) and statistical Epidemic-Type Aftershock Sequence (ETAS) models to forecast the space-time occurrence of M3+ events during the first 6 months of the sequence. We track model performance using standard likelihood-based metrics and compare their skill against the best-performing CRS and ETAS models among those developed with the real-time catalog. We find that while the incorporation of the triggering contributions from new small magnitude detections of the enhanced catalogs is beneficial for both types of forecasts, these models do not significantly outperform their respective near real-time benchmarks. To explore the reasons behind this result, we perform targeted sensitivity tests that show how (a) the typical spatial discretizations of forecast experiments (\"urn:x-wiley:21699313:media:jgrb55931:jgrb55931-math-0001\"2 km) hamper the ability of models to capture highly localized secondary triggering patterns and (b) differences in earthquake parameters (i.e., magnitude and hypocenters) reported in different catalogs can affect forecast evaluation. These findings will contribute toward improving forecast model design and evaluation strategies for next-generation seismic catalogs.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022JB025202","usgsCitation":"Mancini, S., Segou, M., Werner, M.J., Parsons, T.E., Beroza, G.C., and Chiaraluce, L., 2022, On the use of high-resolution and deep-learning seismic catalogs for short-term earthquake forecasts: Potential benefits and current limitations: Journal of Geophysical Research--Solid Earth, v. 127, no. 11, e2022JB025202, 16 p., https://doi.org/10.1029/2022JB025202.","productDescription":"e2022JB025202, 16 p.","ipdsId":"IP-143668","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":445979,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1029/2022jb025202","text":"External Repository"},{"id":411176,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 12.153022380111537,\n 43.88263963722096\n ],\n [\n 12.153022380111537,\n 42.213562034839185\n ],\n [\n 14.568988554409458,\n 42.213562034839185\n ],\n [\n 14.568988554409458,\n 43.88263963722096\n ],\n [\n 12.153022380111537,\n 43.88263963722096\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"127","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Mancini, Simone 0000-0003-3415-2080","orcid":"https://orcid.org/0000-0003-3415-2080","contributorId":225525,"corporation":false,"usgs":false,"family":"Mancini","given":"Simone","email":"","affiliations":[{"id":37322,"text":"University of Bristol","active":true,"usgs":false}],"preferred":false,"id":860333,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Segou, Margarita","contributorId":199044,"corporation":false,"usgs":false,"family":"Segou","given":"Margarita","affiliations":[],"preferred":false,"id":860334,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Werner, Maximillan J.","contributorId":194147,"corporation":false,"usgs":false,"family":"Werner","given":"Maximillan","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":860335,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Parsons, Thomas E. 0000-0002-0582-4338 tparsons@usgs.gov","orcid":"https://orcid.org/0000-0002-0582-4338","contributorId":2314,"corporation":false,"usgs":true,"family":"Parsons","given":"Thomas","email":"tparsons@usgs.gov","middleInitial":"E.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":860336,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beroza, Gregory C.","contributorId":191201,"corporation":false,"usgs":false,"family":"Beroza","given":"Gregory","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":860337,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Chiaraluce, Lauro","contributorId":300501,"corporation":false,"usgs":false,"family":"Chiaraluce","given":"Lauro","email":"","affiliations":[{"id":35766,"text":"Istituto Nazionale di Geofisica e Vulcanologia, Rome, Italy","active":true,"usgs":false}],"preferred":false,"id":860338,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70238483,"text":"70238483 - 2022 - Are canned sardines or dry cat food more effective as bait for capturing Northwestern Pond Turtles (Actinemys marmorata) and Red-eared Sliders (Trachemys scripta elegans)?","interactions":[],"lastModifiedDate":"2022-11-28T13:03:42.853548","indexId":"70238483","displayToPublicDate":"2022-10-31T07:01:05","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3746,"text":"Western North American Naturalist","onlineIssn":"1944-8341","printIssn":"1527-0904","active":true,"publicationSubtype":{"id":10}},"title":"Are canned sardines or dry cat food more effective as bait for capturing Northwestern Pond Turtles (Actinemys marmorata) and Red-eared Sliders (Trachemys scripta elegans)?","docAbstract":"

During an occupancy study of Northwestern Pond Turtles (Actinemys marmorata) and Red-eared Sliders (Trachemys scripta elegans) in California’s Sacramento Valley in 2018, we tested the relative effectiveness of 2 bait types: sardines packed in soybean oil and Meow Mix® Original Choice dry cat food. We sampled 116 sites with 2 traps each: one baited with sardines and one baited with dry cat food. Sardines were 1.7 (95% confidence interval, 1.2–2.6) times more effective than dry cat food at capturing turtles in our study, and 63% of all captured turtles were caught in traps baited with sardines. Despite the slightly lower capture rate in traps baited with dry cat food, the significantly lower cost of cat food (about one-tenth the cost of sardines) makes it an appealing alternative bait if cost-effectiveness is a primary concern.

","language":"English","publisher":"Brigham Young University","usgsCitation":"Fulton, A.M., Rose, J.P., and Halstead, B., 2022, Are canned sardines or dry cat food more effective as bait for capturing Northwestern Pond Turtles (Actinemys marmorata) and Red-eared Sliders (Trachemys scripta elegans)?: Western North American Naturalist, v. 82, no. 3, 14.","productDescription":"14","ipdsId":"IP-124480","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":409671,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":409670,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://scholarsarchive.byu.edu/wnan/vol82/iss3/14"}],"country":"United States","state":"California","otherGeospatial":"Sacramento Valley","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -123.09238384139645,\n 40.88715555040575\n ],\n [\n -123.09238384139645,\n 34.882518828701635\n ],\n [\n -118.37026813708773,\n 34.882518828701635\n ],\n [\n -118.37026813708773,\n 40.88715555040575\n ],\n [\n -123.09238384139645,\n 40.88715555040575\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"82","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fulton, Alexandria M","contributorId":260937,"corporation":false,"usgs":false,"family":"Fulton","given":"Alexandria","email":"","middleInitial":"M","affiliations":[{"id":39913,"text":"former WERC","active":true,"usgs":false}],"preferred":false,"id":857601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, Jonathan P. 0000-0003-0874-9166 jprose@usgs.gov","orcid":"https://orcid.org/0000-0003-0874-9166","contributorId":199339,"corporation":false,"usgs":true,"family":"Rose","given":"Jonathan","email":"jprose@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":857602,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Halstead, Brian J. 0000-0002-5535-6528 bhalstead@usgs.gov","orcid":"https://orcid.org/0000-0002-5535-6528","contributorId":3051,"corporation":false,"usgs":true,"family":"Halstead","given":"Brian J.","email":"bhalstead@usgs.gov","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":857603,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70238017,"text":"70238017 - 2022 - An evaluation of transmitter effects on adult and juvenile Common Terns using leg-loop harness attachments","interactions":[],"lastModifiedDate":"2022-11-04T11:55:14.66042","indexId":"70238017","displayToPublicDate":"2022-10-31T06:53:19","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2284,"text":"Journal of Field Ornithology","active":true,"publicationSubtype":{"id":10}},"title":"An evaluation of transmitter effects on adult and juvenile Common Terns using leg-loop harness attachments","docAbstract":"

Marking birds with transmitters allows for the collection of data that are critical for fully understanding avian life history, but researchers must also be confident that performing such studies is as safe as possible for transmittered individuals. While much could be learned from tracking juveniles across dependency periods and first migration, doing so would require a harness-based attachment method which has not been evaluated on any species of juvenile tern. Therefore, we monitored the reproductive success and behavior of adult Common Terns (Sterna hirundo) and the growth and behavior of juvenile Common Terns after attaching transmitters to adults and juveniles with leg-loop harnesses made of elastic cord. We found that transmittered adults had similar reproductive success to untransmittered controls (hatching success for nests of transmittered adults = 0.553; nests of control adults = 0.665). Transmittered adults also expressed minimal behavioral differences from untransmittered controls when the groups were compared via paired treatment-control nest observations along with observations away from the nest. Transmittered juveniles had similar fledging success and growth rates to untransmittered control juveniles (fledging success for transmittered juveniles = 0.766; control juveniles = 0.817). Transmittered juveniles exhibited slight differences in behavior from controls, with increased rates of preening, although these differences did not appear to be detrimental. Finally, monitoring efforts during the breeding season following transmitter deployment found no difference in the return rate, nesting attempt rate, or hatching success rate based on treatment (P > 0.05). However, despite evidence of an individual retaining its transmitter into fall migration, no individuals retained their transmitters when resighted the following breeding season. While our results show that leg-loop harnesses made of elastic cord present a potential option for transmitter attachment to both adult and juvenile Common Terns, additional testing could provide further insight into potential long-term impacts.

","language":"English","publisher":"Resilience Alliance","doi":"10.5751/JFO-00136-930403","usgsCitation":"Buck, E., Sullivan, J.D., Teitelbaum, C.S., Brinker, D.F., McGowan, P.C., and Prosser, D., 2022, An evaluation of transmitter effects on adult and juvenile Common Terns using leg-loop harness attachments: Journal of Field Ornithology, v. 93, no. 4, 3, 23 p., https://doi.org/10.5751/JFO-00136-930403.","productDescription":"3, 23 p.","ipdsId":"IP-141312","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":445982,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/jfo-00136-930403","text":"Publisher Index Page"},{"id":435635,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IF16T5","text":"USGS data release","linkHelpText":"Data describing the effects of elastic leg-loop harnesses on adult and juvenile Common Terns"},{"id":409154,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"93","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buck, Evan J","contributorId":265821,"corporation":false,"usgs":false,"family":"Buck","given":"Evan J","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":856580,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullivan, Jeffery D. 0000-0002-9242-2432","orcid":"https://orcid.org/0000-0002-9242-2432","contributorId":265822,"corporation":false,"usgs":true,"family":"Sullivan","given":"Jeffery","email":"","middleInitial":"D.","affiliations":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":856581,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teitelbaum, Claire S. 0000-0001-5646-3184","orcid":"https://orcid.org/0000-0001-5646-3184","contributorId":255382,"corporation":false,"usgs":false,"family":"Teitelbaum","given":"Claire","email":"","middleInitial":"S.","affiliations":[{"id":12697,"text":"University of Georgia","active":true,"usgs":false}],"preferred":false,"id":856582,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brinker, David F.","contributorId":207103,"corporation":false,"usgs":false,"family":"Brinker","given":"David","email":"","middleInitial":"F.","affiliations":[{"id":33964,"text":"Maryland Department of Natural Resources","active":true,"usgs":false}],"preferred":false,"id":856583,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McGowan, Peter C.","contributorId":13867,"corporation":false,"usgs":false,"family":"McGowan","given":"Peter","email":"","middleInitial":"C.","affiliations":[{"id":6987,"text":"U.S. Fish and Wildlife Sevice","active":true,"usgs":false}],"preferred":false,"id":856584,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"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":856585,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70237988,"text":"70237988 - 2022 - Observed and forecasted changes in land use by polar bears in the Beaufort and Chukchi Seas, 1985–2040","interactions":[],"lastModifiedDate":"2022-11-16T17:25:45.53204","indexId":"70237988","displayToPublicDate":"2022-10-31T06:52:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Observed and forecasted changes in land use by polar bears in the Beaufort and Chukchi Seas, 1985–2040","docAbstract":"

Monitoring changes in the distribution of large carnivores is important for managing human safety and supporting conservation. Throughout much of their range, polar bears (Ursus maritimus) are increasingly using terrestrial habitats in response to Arctic sea ice decline. Their increased presence in coastal areas has implications for bear-human conflict, inter-species interactions, and polar bear health and survival. We examined observed trends in land use over three decades by polar bears in the southern Beaufort Sea (SB) and Chukchi Sea (CS) where bears have traditionally spent most of the year on the sea ice. Using data from 408 adult females fitted with satellite radio-collars, we examined trends in the annual proportion of bears coming onshore (hereafter referred to as “percent of bears”) during the summer for ≥21 days, arrival and departure dates, duration spent onshore and relationships with sea ice metrics. We then estimated future land use through 2040 by extrapolating trends and by combining observed relationships between land use and sea ice with projections of future sea ice from an ensemble of earth system models. The observed percent of bears summering onshore and their duration onshore was correlated with the percent of open water that occurred within their population’s range between July and October. As sea ice declined, the percent of bears summering onshore increased from ~5 to 30% in the SB and ~10 to 50% in the CS and duration onshore increased by >30 days to 60–70 days in both populations. Using a range of greenhouse gas emission scenarios and adjustments for faster than forecasted sea ice loss we estimated that 50-62% of SB and 79-88% of CS bears will spend 90–108 and 110–126 days onshore during summer in the SB and CS, respectively, by 2040. Sea ice projections varied little between greenhouse gas emission scenarios prior to 2040 but diverged thereafter. Observed and forecasted increases in polar bear land occupancy puts more bears in proximity to human activities and settlements for longer durations while extending the lack of access to their primary prey. Because human conflict is one of the primary factors affecting the conservation of large carnivores worldwide, mitigation of bear-human interactions on land will be an increasingly important component of polar bear conservation.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2022.e02319","usgsCitation":"Rode, K.D., Douglas, D.C., Atwood, T.C., Durner, G.M., Wilson, R., and Pagano, A.M., 2022, Observed and forecasted changes in land use by polar bears in the Beaufort and Chukchi Seas, 1985–2040: Global Ecology and Conservation, v. 40, e02319, 21 p., https://doi.org/10.1016/j.gecco.2022.e02319.","productDescription":"e02319, 21 p.","ipdsId":"IP-144828","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":445984,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2022.e02319","text":"Publisher Index Page"},{"id":435636,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XEOBWV","text":"USGS data release","linkHelpText":"Polar Bear Continuous Time-Correlated Random Walk (CTCRW) Location Data Derived from Satellite Location Data, Chukchi and Beaufort Seas, July-November 1985-2017"},{"id":409057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Russia, United States","state":"Alaska","otherGeospatial":"Beaufort Sea, Chukchi Sea","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n 179.9,\n 80\n ],\n [\n 158.6872334047083,\n 80\n ],\n [\n 158.6872334047083,\n 54\n ],\n [\n 179.9,\n 54\n ],\n [\n 179.9,\n 80\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -103.5651724337921,\n 80\n ],\n [\n -179.9,\n 80\n ],\n [\n -179.9,\n 65\n ],\n [\n -103.5651724337921,\n 65\n ],\n [\n -103.5651724337921,\n 80\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -160,\n 65\n ],\n [\n -179.9,\n 65\n ],\n [\n -179.9,\n 54\n ],\n [\n -160,\n 54\n ],\n [\n -160,\n 65\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":856441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":856442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":856443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":856444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Ryan R. ","contributorId":222456,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan R. ","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":856445,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":856446,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70237947,"text":"70237947 - 2022 - Modeling geomagnetic induction in submarine cables","interactions":[],"lastModifiedDate":"2022-11-01T11:54:23.10118","indexId":"70237947","displayToPublicDate":"2022-10-31T06:48:56","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":12804,"text":"Frontiers in Physics","active":true,"publicationSubtype":{"id":10}},"title":"Modeling geomagnetic induction in submarine cables","docAbstract":"

Submarine cables have become a vital component of modern infrastructure, but past submarine cable natural hazard studies have mostly focused on potential cable damage from landslides and tsunamis. A handful of studies examine the possibility of space weather effects in submarine cables. The main purpose of this study is to develop a computational model, using Python, of geomagnetic induction on submarine cables. The model is used to estimate the induced voltage in the submarine cables in response to geomagnetic disturbances. It also utilizes newly acquired knowledge from magnetotelluric studies and associated investigations of geomagnetically induced currents in power systems. We describe the Python-based software, its working principle, inputs/outputs based on synthetic geomagnetic field data, and compare its operational capabilities against analytical solutions. We present the results for different model inputs, and find: 1) the seawater layer acts as a shield in the induction process: the greater the ocean depth, the smaller the seafloor geoelectric field; and 2) the model is sensitive to the Ocean-Earth layered conductivity structure.

","language":"English","publisher":"Frontiers","doi":"10.3389/fphy.2022.1022475","usgsCitation":"Chakraborty, S., Boteler, D.H., Shi, X., Murphy, B.S., Hartinger, M.D., Wang, X., Lucas, G., and Baker, J.B., 2022, Modeling geomagnetic induction in submarine cables: Frontiers in Physics, v. 10, 1022475, 14 p., https://doi.org/10.3389/fphy.2022.1022475.","productDescription":"1022475, 14 p.","ipdsId":"IP-145634","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":445987,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fphy.2022.1022475","text":"Publisher Index Page"},{"id":408969,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"10","noUsgsAuthors":false,"publicationDate":"2022-10-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Chakraborty, Shibaji","contributorId":298710,"corporation":false,"usgs":false,"family":"Chakraborty","given":"Shibaji","email":"","affiliations":[{"id":64669,"text":"Center for Space Science and Engineering Research, Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":856297,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boteler, David H.","contributorId":298711,"corporation":false,"usgs":false,"family":"Boteler","given":"David","email":"","middleInitial":"H.","affiliations":[{"id":7219,"text":"Natural Resources Canada","active":true,"usgs":false}],"preferred":false,"id":856298,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Shi, Xueling 0000-0001-8425-8241","orcid":"https://orcid.org/0000-0001-8425-8241","contributorId":296644,"corporation":false,"usgs":false,"family":"Shi","given":"Xueling","email":"","affiliations":[{"id":64114,"text":"Virginia Tech; NCAR High Altitude Observatory","active":true,"usgs":false}],"preferred":false,"id":856299,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Benjamin Scott 0000-0001-7636-3711","orcid":"https://orcid.org/0000-0001-7636-3711","contributorId":242928,"corporation":false,"usgs":true,"family":"Murphy","given":"Benjamin","email":"","middleInitial":"Scott","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":856300,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hartinger, Michael D.","contributorId":298712,"corporation":false,"usgs":false,"family":"Hartinger","given":"Michael","email":"","middleInitial":"D.","affiliations":[{"id":48422,"text":"Space Science Institute","active":true,"usgs":false}],"preferred":false,"id":856301,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Wang, Xuan","contributorId":298713,"corporation":false,"usgs":false,"family":"Wang","given":"Xuan","email":"","affiliations":[{"id":64670,"text":"Department of Electrical Engineering, Tsinghua University","active":true,"usgs":false}],"preferred":false,"id":856302,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lucas, Greg M. 0000-0003-1331-1863","orcid":"https://orcid.org/0000-0003-1331-1863","contributorId":223556,"corporation":false,"usgs":false,"family":"Lucas","given":"Greg M.","affiliations":[{"id":6605,"text":"USGS","active":true,"usgs":false}],"preferred":false,"id":856303,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Baker, Joseph B. H. 0000-0001-6255-3039","orcid":"https://orcid.org/0000-0001-6255-3039","contributorId":296646,"corporation":false,"usgs":false,"family":"Baker","given":"Joseph","email":"","middleInitial":"B. H.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":856304,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70241063,"text":"70241063 - 2022 - Multi-hazard risk analysis for the U.S. Department of the Interior: An integration of expert elicitation, planning priorities, and geospatial analysis","interactions":[],"lastModifiedDate":"2023-03-08T15:37:45.932866","indexId":"70241063","displayToPublicDate":"2022-10-29T09:32:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2036,"text":"International Journal of Disaster Risk Reduction","active":true,"publicationSubtype":{"id":10}},"title":"Multi-hazard risk analysis for the U.S. Department of the Interior: An integration of expert elicitation, planning priorities, and geospatial analysis","docAbstract":"

An integral part of disaster risk management is identifying and prioritizing hazards and their potential impacts in a meaningful way to support risk-reduction planning. There has been considerable use and subsequent criticism of threat prioritization efforts that simply compare likelihoods and consequences of plausible threats. This article summarizes a new mixed-methods and scalable approach for prioritizing risks in a multi-hazard, multi-objective, and multi-criteria organizational context. This approach integrates (1) hazard characterizations using subject-matter-expert (SME) elicitation, (2) expressed preferences in planning priorities provided by emergency managers, and (3) quantitative estimates of asset exposure to hazards using geospatial data and geographic-information-systems (GIS) software. We demonstrate this approach with a case study designed to support multi-hazard mitigation and response planning done by the U.S. Department of the Interior (DOI) Office of Emergency Management, which required a national understanding of the risks posed by 75 natural, technological, and adversarial hazards to DOI managed and administered lands, facilities, people, revenues, and resources. Results demonstrate that hazard priorities vary depending on the asset, scale, and risk-management context, thereby making the case that “one-size-fits-all” hazard rankings have limited utility or relevance to real-world, risk mitigation and response planning. Our results suggest that recognizing the risk-management context provides greater transparency, flexibility, and relevance in comparing threats than traditional likelihood-threat matrices or the use of hazard SMEs to decide for planners which hazard scenarios are emphasized in risk planning.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2022.103385","usgsCitation":"Wood, N.J., Pennaz, A., Marineau, J., Jones, J.M., Jones, J., Ng, P., and Henry, K., 2022, Multi-hazard risk analysis for the U.S. Department of the Interior: An integration of expert elicitation, planning priorities, and geospatial analysis: International Journal of Disaster Risk Reduction, v. 82, 103385, 15 p., https://doi.org/10.1016/j.ijdrr.2022.103385.","productDescription":"103385, 15 p.","ipdsId":"IP-142283","costCenters":[{"id":459,"text":"Natural Hazards Mission Area","active":false,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":445992,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2022.103385","text":"Publisher Index Page"},{"id":435637,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RKTXCT","text":"USGS data release","linkHelpText":"Threat prioritization framework and input data for a multi-hazard risk analysis for the U.S. Department of the Interior"},{"id":413865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":413841,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/632254d1d34e71c6d67ab690"}],"volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":865923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pennaz, Alice 0000-0002-7336-2761","orcid":"https://orcid.org/0000-0002-7336-2761","contributorId":205792,"corporation":false,"usgs":true,"family":"Pennaz","given":"Alice","email":"","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":865924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marineau, Jason","contributorId":213192,"corporation":false,"usgs":false,"family":"Marineau","given":"Jason","email":"","affiliations":[{"id":38714,"text":"Department of Interior Office of Emergency Management","active":true,"usgs":false}],"preferred":false,"id":865925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":865926,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Jamie 0000-0002-9967-3314 jamiejones@usgs.gov","orcid":"https://orcid.org/0000-0002-9967-3314","contributorId":204514,"corporation":false,"usgs":true,"family":"Jones","given":"Jamie","email":"jamiejones@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":865927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ng, Peter 0000-0001-8509-5544 png@usgs.gov","orcid":"https://orcid.org/0000-0001-8509-5544","contributorId":3317,"corporation":false,"usgs":true,"family":"Ng","given":"Peter","email":"png@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":865928,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Henry, Kevin 0000-0001-9314-2531 khenry@usgs.gov","orcid":"https://orcid.org/0000-0001-9314-2531","contributorId":176934,"corporation":false,"usgs":true,"family":"Henry","given":"Kevin","email":"khenry@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":865929,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70237766,"text":"sim3491 - 2022 - Bedrock geologic map of the Crown Point quadrangle, Essex County, New York, and Addison County, Vermont","interactions":[],"lastModifiedDate":"2026-04-01T15:22:38.069829","indexId":"sim3491","displayToPublicDate":"2022-10-28T11:30:00","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3491","displayTitle":"Bedrock Geologic Map of the Crown Point Quadrangle, Essex County, New York, and Addison County, Vermont","title":"Bedrock geologic map of the Crown Point quadrangle, Essex County, New York, and Addison County, Vermont","docAbstract":"

The bedrock geology of the 7.5-minute Crown Point quadrangle consists of deformed and metamorphosed Mesoproterozoic gneisses of the Adirondack Highlands unconformably overlain by weakly deformed lower Paleozoic sedimentary rocks of the Champlain Valley. The Mesoproterozoic rocks occur on the eastern edge of the Adirondack Highlands and represent an extension of the Grenville Province of Laurentia. Granulite facies Mesoproterozoic paragneiss, marble, and amphibolite hosted the emplacement of granitic orthogneiss at approximately 1.18–1.15 giga-annum (Ga, billion years before present). The earliest of four phases of deformation (D1) is characterized by gneissosity, rarely preserved F1 isoclinal folds, and migmatite in the host rocks. Subsequent D2 deformation produced a composite penetrative gneissosity, migmatite, and isoclinal F2 folds. Towards the end of D2, felsic magmatism (including the regionally extensive Lyon Mountain Granite Gneiss, abbreviated “LMG”) spread by penetrative migration as semiconcordant alkali feldspar granite sheets subparallel to S2 into previously deformed lithologies. The LMG crystallized at approximately 1.15 Ga and displays synkinematic F2 folds thus constraining the time of D2 deformation. Exhumation during D3 produced F3 folds exhibited in regional domes and basins, such as the Keeney Mountain synform, local reactivation of the S2 foliation, partial melting, metamorphism, metasomatism, iron ore remobilization, and intrusion of magnetite-bearing pegmatite both as layer-parallel sills and crosscutting dikes. D4 created NE- and NW-trending boudinage, local high-grade ductile shear zones, and crosscutting granitic pegmatite dikes. Kilometer (km)-scale lineaments readily observed in lidar data are Ediacaran mafic dikes and Phanerozoic brittle faults. The Paleozoic rocks are part of the Early Cambrian to Late Ordovician great American carbonate bank on the ancient margin of Laurentia. Cambrian-Ordovician stratigraphy records an approximately 1-km-thick section and a transition from synrift clastics to passive margin peritidal carbonate buildups to gradually deeper water subtidal to shelf carbonates during foreland basin development associated with the Taconic orogeny. The Paleozoic rocks are weakly folded and block faulted. Large areas of the Champlain Valley are covered by undifferentiated glacial deposits, some of which contain mapped landslides. The map also shows waste rock piles and tailings from historical mining operations and large areas of artificial fill.

This study was undertaken to improve our understanding of the bedrock geology in the Adirondack Highlands, establish a modern framework for 1:24,000-scale bedrock geologic mapping in the Adirondacks, provide a context for historical iron mines in the eastern Adirondacks, and update the stratigraphy of the Champlain Valley in New York and Vermont. This Scientific Investigations Map of the Crown Point 7.5-minute quadrangle consists of a map sheet, an explanatory pamphlet, and a geographic information system database that includes bedrock geologic units, faults, outcrops, and structural geologic information. The map sheet includes a bedrock geologic map, a correlation of map units, a description of map units, an explanation of map symbols, three cross sections, and a simplified surficial geologic map that includes lidar percent slope. The explanatory pamphlet includes a discussion of the geology.

The bedrock geologic map on the map sheet is multi-layered and has been designed to enable the user to turn off the surficial map layer to view the concealed bedrock map units.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3491","collaboration":"Prepared in cooperation with the State of Vermont, Vermont Agency of Natural Resources, Vermont Geological Survey, and the State of New York, Department of Education, New York Geological Survey","usgsCitation":"Walsh, G.J., Orndorff, R.C., and McAleer, R.J., 2022, Bedrock geologic map of the Crown Point quadrangle, Essex County, New York, and Addison County, Vermont: U.S. Geological Survey Scientific Investigations Map 3491, 1 sheet, scale 1:24,000, 44-p. pamphlet, https://doi.org/10.3133/sim3491.","productDescription":"Pamphlet: viii, 44 p.; Sheet: 62.00 x 41.00 inches; Base Map; Database; Metadata","numberOfPages":"44","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-117525","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":435638,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1FHRNVU","text":"USGS data release","linkHelpText":"Database for the bedrock geologic map of the Crown Point quadrangle, Essex County, New York, and Addison County, Vermont"},{"id":410043,"rank":7,"type":{"id":26,"text":"Sheet"},"url":"https://pubs.usgs.gov/sim/3491/sim3491_sheet1.pdf","size":"178 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":408680,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3491/sim3491_metadata.zip","size":"216 KB","linkFileType":{"id":6,"text":"zip"}},{"id":408682,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sim/3491/sim3491_basemap.zip","text":"Topographic Spatial Data","size":"119 MB","linkFileType":{"id":6,"text":"zip"}},{"id":408679,"rank":3,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3491/sim3491_database.zip","size":"4.40 MB","linkFileType":{"id":6,"text":"zip"}},{"id":408674,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3491/sim3491_pamphlet.pdf","text":"Pamphlet","size":"11.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3491"},{"id":408673,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3491/coverthb.jpg"},{"id":501933,"rank":9,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_113783.htm","linkFileType":{"id":5,"text":"html"}},{"id":408681,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3491/sim3491_openaccess.zip","text":"Open Access","size":"6.29 MB","linkFileType":{"id":6,"text":"zip"}}],"country":"United States","state":"New York, Vermont","county":"Addison County, Essex County","otherGeospatial":"Crown Point quadrangle","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -73.5,\n 44\n ],\n [\n -73.5,\n 43.875\n ],\n [\n -73.375,\n 43.875\n ],\n [\n -73.375,\n 44\n ],\n [\n -73.5,\n 44\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director, Florence Bascom Geoscience Center
U.S. Geological Survey
926A National Center
12201 Sunrise Valley Drive
Reston, VA 20192

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","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2022-10-28","noUsgsAuthors":false,"publicationDate":"2022-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":265307,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":855539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orndorff, Randall C. 0000-0002-8956-5803 rorndorf@usgs.gov","orcid":"https://orcid.org/0000-0002-8956-5803","contributorId":2739,"corporation":false,"usgs":true,"family":"Orndorff","given":"Randall","email":"rorndorf@usgs.gov","middleInitial":"C.","affiliations":[{"id":501,"text":"Office of Science Quality and Integrity","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":855540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":855541,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70237865,"text":"sir20225071 - 2022 - Characterization of the Sevier/Toroweap Fault Zone in Kane County, Utah, using controlled-source audio-frequency magnetotelluric (CSAMT) surveys","interactions":[],"lastModifiedDate":"2022-10-31T11:37:48.874291","indexId":"sir20225071","displayToPublicDate":"2022-10-28T10:05:15","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2022-5071","displayTitle":"Characterization of the Sevier/Toroweap Fault Zone in Kane County, Utah, Using Controlled-Source Audio-Frequency Magnetotelluric (CSAMT) Surveys","title":"Characterization of the Sevier/Toroweap Fault Zone in Kane County, Utah, using controlled-source audio-frequency magnetotelluric (CSAMT) surveys","docAbstract":"

The Sevier/Toroweap Fault Zone is a major north-south-striking fault located in northern Arizona and southwestern Utah. In partnership with the National Park Service, the U.S. Geological Survey conducted two geophysical controlled-source audio-frequency magnetotelluric (CSAMT) surveys that transected the Sevier/Toroweap Fault Zone at Clay Flat, Utah, a potential pull-apart basin, west of a site of proposed groundwater pumping to evaluate the subsurface hydrogeology. The goal of the surveys was to enhance understanding of the interconnectedness of the Navajo aquifer, the region’s primary groundwater source, across two groundwater basins to the east and west of the fault zone, Water Rights Area (WRA) 81 and WRA 85.

In the Kane County, Utah, area, the Sevier/Toroweap Fault Zone consists of the Sevier section (to the north) and the northern Toroweap section (to the south). Two survey lines totaling 7 kilometers of CSAMT survey data were collected. The CSAMT survey line SV1 transected both the Sevier section and the northern Toroweap section of the fault zone; survey line SV2 transected only the Sevier section. Although offset of the Navajo Sandstone, the main component of the Navajo aquifer, by the Sevier/Toroweap Fault Zone is generally accepted as the geologic reason that the Navajo aquifer is disconnected in the study area, results of the CSAMT surveys suggest that vertical offset of the Navajo Sandstone of the Glen Canyon Group across the Sevier/Toroweap Fault Zone is insufficient to completely disconnect the aquifer in the study area. The effects of faulting on groundwater north and south of the study area, where offset of water-bearing layers may be greater, requires further study. A clearer understanding of groundwater movement across the Sevier /Toroweap Fault Zone will aid water-resource managers in making informed decisions concerning groundwater rights.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20225071","collaboration":"Prepared in cooperation with the National Park Service","usgsCitation":"Jones, C.J.R., Robinson, M.J., and Macy, J.P., 2022, Characterization of the Sevier/Toroweap Fault Zone in Kane County, Utah, using controlled-source audio-frequency magnetotelluric (CSAMT) surveys: U.S. Geological Survey Scientific Investigations Report 2022–5071, 14 p., https://doi.org/10.3133/sir20225071.","productDescription":"Report: iv, 14 p.; Data Release","numberOfPages":"14","onlineOnly":"Y","ipdsId":"IP-133730","costCenters":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"links":[{"id":408827,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2022/5071/covrthb.jpg"},{"id":408828,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2022/5071/sir20225071.pdf","text":"Report","size":"4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":408830,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9QF9PFR","text":"Controlled source audio-frequency magnetotellurics (CSAMT) data from the Sevier fault near Red Knoll, Kane County, Utah (ver. 2.0, July 2022)","description":"Robinson, M.J., and Macy, J.P., 2022, Controlled source audio-frequency magnetotellurics (CSAMT) data from the Sevier fault near Red Knoll, Kane County, Utah: U.S. Geological Survey data release, https://doi.org/10.5066/P9QF9PFR."}],"country":"United States","state":"Utah","county":"Kane County","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -112.97309886757559,\n 37.55221820418316\n ],\n [\n -112.97309886757559,\n 37.082590637675466\n ],\n [\n -112.15461742226314,\n 37.082590637675466\n ],\n [\n -112.15461742226314,\n 37.55221820418316\n ],\n [\n -112.97309886757559,\n 37.55221820418316\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"

Director,
Arizona Water Science Center
U.S. Geological Survey
520 N. Park Avenue
Tucson, AZ 85719

","tableOfContents":"","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2022-10-28","noUsgsAuthors":false,"publicationDate":"2022-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Jones, Casey J.R. 0000-0002-6991-8026","orcid":"https://orcid.org/0000-0002-6991-8026","contributorId":223364,"corporation":false,"usgs":true,"family":"Jones","given":"Casey","email":"","middleInitial":"J.R.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855997,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robinson, Michael J. 0000-0003-3855-3914","orcid":"https://orcid.org/0000-0003-3855-3914","contributorId":240588,"corporation":false,"usgs":true,"family":"Robinson","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855998,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Macy, Jamie P. 0000-0003-3443-0079 jpmacy@usgs.gov","orcid":"https://orcid.org/0000-0003-3443-0079","contributorId":2173,"corporation":false,"usgs":true,"family":"Macy","given":"Jamie","email":"jpmacy@usgs.gov","middleInitial":"P.","affiliations":[{"id":128,"text":"Arizona Water Science Center","active":true,"usgs":true}],"preferred":true,"id":855999,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70237870,"text":"70237870 - 2022 - Mangroves provide blue carbon ecological value at a low freshwater cost","interactions":[],"lastModifiedDate":"2022-10-28T14:42:23.68563","indexId":"70237870","displayToPublicDate":"2022-10-28T09:42:16","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Mangroves provide blue carbon ecological value at a low freshwater cost","docAbstract":"

“Blue carbon” wetland vegetation has a limited freshwater requirement. One type, mangroves, utilizes less freshwater during transpiration than adjacent terrestrial ecoregions, equating to only 43% (average) to 57% (potential) of evapotranspiration (ET\">ET). Here, we demonstrate that comparative consumptive water use by mangrove vegetation is as much as 2905 kL H2O ha−1 year−1 less than adjacent ecoregions with Ec\">Ec-to-ET\">ET ratios of 47–70%. Lower porewater salinity would, however, increase mangrove Ec\">Ec-to-ET\">ET ratios by affecting leaf-, tree-, and stand-level eco-physiological controls on transpiration. Restricted water use is also additive to other ecosystem services provided by mangroves, such as high carbon sequestration, coastal protection and support of biodiversity within estuarine and marine environments. Low freshwater demand enables mangroves to sustain ecological values of connected estuarine ecosystems with future reductions in freshwater while not competing with the freshwater needs of humans. Conservative water use may also be a characteristic of other emergent blue carbon wetlands.

","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-022-21514-8","usgsCitation":"Krauss, K., Lovelock, C.E., Chen, L., Berger, U., Ball, M.C., Reef, R., Peters, R., Bowen, H., Vovides, A.G., Ward, E., Wimmler, M., Carr, J., Bunting, P., and Duberstein, J., 2022, Mangroves provide blue carbon ecological value at a low freshwater cost: Scientific Reports, v. 12, 17636, 12 p., https://doi.org/10.1038/s41598-022-21514-8.","productDescription":"17636, 12 p.","ipdsId":"IP-127981","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":445994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-022-21514-8","text":"Publisher Index 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Luzhen","contributorId":194706,"corporation":false,"usgs":false,"family":"Chen","given":"Luzhen","email":"","affiliations":[],"preferred":false,"id":856022,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berger, Uta","contributorId":224016,"corporation":false,"usgs":false,"family":"Berger","given":"Uta","affiliations":[{"id":40811,"text":"TU Dresden, Institute of Forest Growth and Computer Science, Germany","active":true,"usgs":false}],"preferred":false,"id":856023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ball, Marilyn C.","contributorId":298613,"corporation":false,"usgs":false,"family":"Ball","given":"Marilyn","email":"","middleInitial":"C.","affiliations":[{"id":38167,"text":"The Australian National University, Australia","active":true,"usgs":false}],"preferred":false,"id":856024,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reef, Ruth","contributorId":298614,"corporation":false,"usgs":false,"family":"Reef","given":"Ruth","affiliations":[{"id":64623,"text":"Monash University, Australia","active":true,"usgs":false}],"preferred":false,"id":856025,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peters, Ronny","contributorId":298615,"corporation":false,"usgs":false,"family":"Peters","given":"Ronny","email":"","affiliations":[{"id":64624,"text":"Technische Universitat Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":856026,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bowen, Hannah","contributorId":298616,"corporation":false,"usgs":false,"family":"Bowen","given":"Hannah","email":"","affiliations":[{"id":64625,"text":"Instituto de Ecologia AC, Mexico","active":true,"usgs":false}],"preferred":false,"id":856027,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vovides, Alejandra G.","contributorId":298617,"corporation":false,"usgs":false,"family":"Vovides","given":"Alejandra","email":"","middleInitial":"G.","affiliations":[{"id":64626,"text":"University of Glasgow, UK","active":true,"usgs":false}],"preferred":false,"id":856028,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ward, Eric 0000-0002-5047-5464","orcid":"https://orcid.org/0000-0002-5047-5464","contributorId":218962,"corporation":false,"usgs":true,"family":"Ward","given":"Eric","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":856029,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wimmler, Marie-Christin","contributorId":298618,"corporation":false,"usgs":false,"family":"Wimmler","given":"Marie-Christin","email":"","affiliations":[{"id":64624,"text":"Technische Universitat Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":856030,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":856031,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bunting, Pete","contributorId":239895,"corporation":false,"usgs":false,"family":"Bunting","given":"Pete","email":"","affiliations":[{"id":48034,"text":"Department of Geography and Earth Sciences, Aberystwyth University, Aberystwyth, Wales, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":856032,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Duberstein, Jamie A.","contributorId":91007,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jamie A.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":856033,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}} ,{"id":70237917,"text":"70237917 - 2022 - When do climate services achieve societal impact? Evaluations of actionable climate adaptation science","interactions":[],"lastModifiedDate":"2022-11-01T14:44:44.939354","indexId":"70237917","displayToPublicDate":"2022-10-28T09:24:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3504,"text":"Sustainability","active":true,"publicationSubtype":{"id":10}},"title":"When do climate services achieve societal impact? Evaluations of actionable climate adaptation science","docAbstract":"

To cope with complex environmental impacts in a changing climate, researchers are increasingly being asked to produce science that can directly support policy and decision making. To achieve such societal impact, scientists are using climate services to engage directly with stakeholders to better understand their needs and inform knowledge production. However, the wide variety of climate-services outcomes—ranging from establishing collegial relationships with stakeholders to obtaining specific information for inclusion into a pre-existing decision process—do not directly connect to traditional methods of measuring scientific impact (e.g., publication citations, journal impact factor). In this paper, we describe how concepts from the discipline of evaluation can be used to examine the societal impacts of climate services. We also present a case study from climate impacts and adaptation research to test a scalable evaluation approach. Those who conduct research for the purposes of climate services and those who fund applied climate research would benefit from evaluation from the beginning of project development. Doing so will help ensure that the approach, data collection, and data analysis are appropriately conceived and executed.

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]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2022-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Bamzai-Dodson, Aparna 0000-0002-2444-9051","orcid":"https://orcid.org/0000-0002-2444-9051","contributorId":247300,"corporation":false,"usgs":true,"family":"Bamzai-Dodson","given":"Aparna","affiliations":[{"id":40927,"text":"North Central Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":856201,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McPherson, Renee A. 0000-0002-1497-9681","orcid":"https://orcid.org/0000-0002-1497-9681","contributorId":266158,"corporation":false,"usgs":false,"family":"McPherson","given":"Renee","email":"","middleInitial":"A.","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":856202,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70237878,"text":"70237878 - 2022 - Limited rigor in studies of raptor mortality and mitigation at wind power facilities","interactions":[],"lastModifiedDate":"2022-10-28T14:24:08.947566","indexId":"70237878","displayToPublicDate":"2022-10-28T09:16:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1015,"text":"Biological Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Limited rigor in studies of raptor mortality and mitigation at wind power facilities","docAbstract":"

Wind power is an expanding source of renewable energy. However, there are ecological challenges related to wind energy generation, including collisions of wildlife with turbines. Lack of rigor, and variation in study design, together limit efforts to understand the broad-scale effects of wind power infrastructure on wildlife populations. It is not clear, however, whether these types of limitations apply to groups of birds such as raptors that are particularly vulnerable to negative effects of wind energy. We reviewed 672 peer-reviewed publications, unpublished reports, and citations from 321 wind facilities in 12 countries to evaluate methods used to monitor and mitigate for wind facility impacts on raptors. Most reports that included raptor monitoring (86 %, n = 461) only conducted post-construction monitoring for raptor fatalities, while few (12 %; n = 65) estimated pre-construction raptor use. Only 27 % of facilities (n = 62) provided estimates of fatalities or raptor use across multiple construction phases, and the percentage of facilities with data available from multiple construction periods has not changed over time. A formal experimental study design was incorporated into surveys at only 29 % of facilities. Finally, mitigation practices to reduce impacts on raptors were only reported at 23 % of facilities. Our results suggest that rigorous data collection on wind energy impacts to raptors is rare, and that mitigation of detrimental effects is seldom reported. Expanding the use of rigorous research approaches and increasing data availability would improve understanding of the regional and global effects of wind energy on raptor populations.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2022.109707","usgsCitation":"Conkling, T., McClure, C.J., Cuadros, S., Loss, S.R., and Katzner, T., 2022, Limited rigor in studies of raptor mortality and mitigation at wind power facilities: Biological Conservation, v. 275, 109707, 9 p., https://doi.org/10.1016/j.biocon.2022.109707.","productDescription":"109707, 9 p.","ipdsId":"IP-137776","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":446000,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.biocon.2022.109707","text":"Publisher Index Page"},{"id":408856,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Chile, Mexico, Peru, Spain, United States, 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W.","contributorId":296025,"corporation":false,"usgs":false,"family":"McClure","given":"Christopher","email":"","middleInitial":"J. W.","affiliations":[{"id":36583,"text":"The Peregrine Fund","active":true,"usgs":false}],"preferred":false,"id":856062,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cuadros, Sandra","contributorId":298625,"corporation":false,"usgs":false,"family":"Cuadros","given":"Sandra","email":"","affiliations":[{"id":36583,"text":"The Peregrine Fund","active":true,"usgs":false}],"preferred":false,"id":856063,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loss, S. 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Many coastal ecosystems suffer from eutrophication, algal blooms, and dead zones due to excessive anthropogenic inputs of nitrogen (N) and phosphorus (P). This has led to regional restoration efforts that focus on managing watershed loads of N and P. In Chesapeake Bay, the largest estuary in the United States, dual nutrient reductions of N and P have been pursued since the 1980s. However, it remains unclear whether nutrient limitation – an indicator of restriction of algal growth by supplies of N and P – has changed in the tributaries of Chesapeake Bay following decades of reduction efforts. Toward that end, we analyzed historical data from nutrient-addition bioassay experiments and data from the Chesapeake Bay long-term water-quality monitoring program for six stations in three tidal tributaries (i.e., Patuxent, Potomac, and Choptank Rivers). Classification and regression tree (CART) models were developed using concurrent collections of water-quality parameters for each bioassay monitoring location during 1990-2003, which satisfactorily predicted the bioassay-based measures of nutrient limitation (classification accuracy = 96%). Predictions from the CART models using water-quality monitoring data showed enhanced nutrient limitation over the period of 1985-2020 at four of the six stations, including the downstream station in each of these three tributaries. These results indicate detectable, long-term water-quality improvements in the tidal tributaries. Overall, this research provides a new analytical tool for detecting signs of ecosystem recovery following nutrient reductions. More broadly, the approach can be adapted to other waterbodies with long-term bioassays and water-quality data sets to detect ecosystem recovery.

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