Soil moisture maps provide quantitative information that, along with climate and energy balance, is critical to integrate with hydrologic processes for characterizing landscape conditions. However, soil moisture maps are difficult to produce for natural landscapes because of vegetation cover and complex topography. Satellite-based L-band microwave sensors are commonly used to develop spatial soil moisture data products, but most existing L-band satellites provide only coarse scale (one to tens of kilometers grid size), information that is unsuitable for measuring soil moisture variation at hillslope or watershed-scales. L-band sensors are typically deployed on satellite platforms and aircraft but have been too large to deploy on small uncrewed aircraft systems (UAS). There is a need for greater spatial resolution and development of effective measures of soil moisture across a variety of natural vegetation types. To address these challenges, a novel UAS-based L-band radiometer system was evaluated that has recently been tested in agricultural settings. In this study, L-band UAS was used to map soil moisture at 3–50-m (m) resolution in a 13 square kilometer (km2) mixed grassland-forested landscape in Sonoma County, California. The results represent the first application of this technology in a natural landscape with complex topography and vegetation. The L-band inversion of the radiative transfer model produced soil moisture maps with an average unbiased root mean squared error (ubRMSE) of 0.07 m3/m3 and a bias of 0.02 m3/m3. Improved fine-scale soil moisture maps developed using UAS-based systems may be used to help inform wildfire risk, improve hydrologic models, streamflow forecasting, and early detection of landslides.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/frsen.2024.1337953","usgsCitation":"Stern, M.A., Ferrell, R., Flint, L.E., Kozanitas, M., Ackerly, D., Elston, J., Stachura, M., Dai, E., and Thorne, J.H., 2024, Fine-scale surficial soil moisture mapping using UAS-based L-band remote sensing in a mixed oak-grassland landscape: Frontiers in Remote Sensing, v. 5, 1337953, 12 p., https://doi.org/10.3389/frsen.2024.1337953.","productDescription":"1337953, 12 p.","ipdsId":"IP-159618","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":499941,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/frsen.2024.1337953","text":"Publisher Index Page"},{"id":499713,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","county":"Sonoma County","city":"Santa Rosa","otherGeospatial":"Mayacamas Mountains, Pepperwood Preserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.71354880264356,\n 38.57616137564548\n ],\n [\n -122.71354880264356,\n 38.565372954642044\n ],\n [\n -122.68982536456959,\n 38.565372954642044\n ],\n [\n -122.68982536456959,\n 38.57616137564548\n ],\n [\n -122.71354880264356,\n 38.57616137564548\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"5","noUsgsAuthors":false,"publicationDate":"2024-11-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Stern, Michelle A. 0000-0003-3030-7065 mstern@usgs.gov","orcid":"https://orcid.org/0000-0003-3030-7065","contributorId":4244,"corporation":false,"usgs":true,"family":"Stern","given":"Michelle","email":"mstern@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":955319,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ferrell, Ryan","contributorId":366124,"corporation":false,"usgs":false,"family":"Ferrell","given":"Ryan","affiliations":[{"id":37798,"text":"Pepperwood Preserve","active":true,"usgs":false}],"preferred":false,"id":955320,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Lorraine E. 0000-0002-7868-441X","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":306090,"corporation":false,"usgs":false,"family":"Flint","given":"Lorraine","email":"","middleInitial":"E.","affiliations":[{"id":66369,"text":"Earth Knowledge, Inc.","active":true,"usgs":false}],"preferred":false,"id":955321,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kozanitas, Melina","contributorId":366125,"corporation":false,"usgs":false,"family":"Kozanitas","given":"Melina","affiliations":[{"id":6609,"text":"UC Berkeley","active":true,"usgs":false}],"preferred":false,"id":955322,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ackerly, David","contributorId":139541,"corporation":false,"usgs":false,"family":"Ackerly","given":"David","affiliations":[{"id":7102,"text":"University of California, Berkeley, Dept. of Civil & Envir. Engineering","active":true,"usgs":false}],"preferred":false,"id":955323,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elston, Jack","contributorId":334719,"corporation":false,"usgs":false,"family":"Elston","given":"Jack","affiliations":[{"id":80215,"text":"Black Swift Technologies","active":true,"usgs":false}],"preferred":false,"id":955324,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stachura, Maciej","contributorId":334720,"corporation":false,"usgs":false,"family":"Stachura","given":"Maciej","affiliations":[{"id":80215,"text":"Black Swift Technologies","active":true,"usgs":false}],"preferred":false,"id":955325,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dai, Eryan","contributorId":366129,"corporation":false,"usgs":false,"family":"Dai","given":"Eryan","affiliations":[{"id":87362,"text":"Weather Stream Inc.","active":true,"usgs":false}],"preferred":false,"id":955326,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Thorne, James H.","contributorId":173762,"corporation":false,"usgs":false,"family":"Thorne","given":"James","email":"","middleInitial":"H.","affiliations":[{"id":7214,"text":"University of California, Davis","active":true,"usgs":false}],"preferred":false,"id":955327,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70260938,"text":"ofr20241068 - 2024 - Determination of antimycin–a in a liquid formulation by high performance liquid chromatography–mass spectrometry","interactions":[],"lastModifiedDate":"2024-11-18T21:32:05.056061","indexId":"ofr20241068","displayToPublicDate":"2024-11-18T15:29:45","publicationYear":"2024","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":"2024-1068","displayTitle":"Determination of Antimycin–A in a Liquid Formulation by High Performance Liquid Chromatography–Mass Spectrometry","title":"Determination of antimycin–a in a liquid formulation by high performance liquid chromatography–mass spectrometry","docAbstract":"Pesticide formulations containing the active ingredient antimycin–a (ANT–A) have been used by fisheries and aquaculture managers for several decades to remove nuisance fish species. Analytical methods for measuring ANT–A during pesticide treatments have been done using high performance liquid chromatography (HPLC) paired with multiple detection methods (for example, electrochemical, ultraviolet, fluorescence, mass spectrometry). However, instruments and analytical chemistry methods can advance over time because of the need to develop timely, reliable, cost effective, and reproducible methods. Subsequently, ANT–A analytical chemistry methods and sample processing techniques also have improved over the past several decades. In the present study, we describe a liquid chromatography–mass spectrometry method and its verification across three analysts. Each analyst group created a single calibration curve and verified ANT–A in a liquid formulation using the averaged total response of all major ANT–A homologs (A1, A3, A3, A4). The advantage of this technique is that it creates a more resilient ANT–A quantification method amendable to batch-batch differences in major homologs. The method demonstrated how ANT–A can be effectively measured with high accuracy (98–99 percent), precision (2.7–16.2 percent), and specificity within a pesticide liquid formulation using a method applicable for Federal registration requirements.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20241068","usgsCitation":"Saari, G.N., Steiner, J.N., Lada, B., and Carmosini, N., 2024, Determination of antimycin–a in a liquid formulation by high performance liquid chromatography–mass spectrometry: U.S. Geological Survey Open-File Report 2024–1068, 7 p., https://doi.org/10.3133/ofr20241068.","productDescription":"Report: vii, 7 p; Data Release","numberOfPages":"20","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-166047","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":464197,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1068/ofr20241068.pdf","text":"Report","size":"671 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR-2024-1068"},{"id":464198,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1068/images"},{"id":464200,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1068/ofr20241068.XML","linkFileType":{"id":8,"text":"xml"},"description":"OFR-2024-1068"},{"id":464204,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.er.usgs.gov/publication/ofr20241068/full","text":"Report","linkFileType":{"id":5,"text":"html"}},{"id":464206,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P1GT55QY","text":"USGS data release","linkHelpText":"Data release for determination of antimycin–a in liquid formulation by high performance liquid chromatography–mass spectrometry"},{"id":464196,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1068/coverthb.jpg"}],"contact":"Director, Upper Midwest Environmental Sciences Center
U.S. Geological Survey
2630 Fanta Reed Road
La Crosse, Wisconsin 54603
The Decompartmentalization Physical Model (DPM) was an experimental facility in the central Everglades operated between 2010 and 2022 to release high flows through a levee-enclosed area of degraded ridge and slough wetland that had been isolated from flow for sixty years. The purpose of DPM experimental program was to make measurements before, during, and after seasonal high-flow releases that could help guide the Congressionally authorized Everglades restoration project known as the Decompartmentalization and Sheet Flow Enhancement Project.
The DPM facility was operated by the South Florida Water Management District, with the U.S. Geological Survey (USGS) and several universities participating in experimental design and leading aspects of the research. The USGS research at DPM focused on measuring high-flow hydraulics and its sedimentary and ecological responses in downstream wetlands. USGS investigated interactions between flow and vegetation and microtopography that influenced flow velocity and water depth, bed shear stress, sediment entrainment, and the resulting downstream transport of suspended sediment and fate of particle-associated phosphorus. USGS also investigated high-flow changes in water-column mixing and gas exchange and resulting effects on metabolism of the aquatic ecosystem (primary productivity and respiration). USGS also investigated effects of built structures such as levee gaps that were constructed to reconnect levee-enclosed basins. This report describes the methods and results of the USGS-led data collection at DPM.
The USGS studies at DPM have identified factors that influence effectiveness of restoration, specifically how high-flow releases maximize sheet flow and affect sediment and nutrient dynamics while minimizing undesirable outcomes caused by past management that bypassed wetlands by conveying polluted water through canals to ecologically sensitive downstream areas. The DPM high-flow experiments reconnected the Water Conservation Area 3A and Water Conservation Area 3B basins, and it therefore has become a central feature of the restoration’s Decompartmentalization and Sheet Flow Enhancement Project. DPM’s scientific findings have already influenced the adaptive management of Everglades restoration in guiding elements of the final design and implementation of the Central Everglades Planning Project-South. In addition to serving Everglades restoration, the DPM has the potential to influence similar adaptive management programs throughout the nation’s network of federal and state-managed river corridors, floodplains, and riparian ecosystems.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston VA","doi":"10.3133/ofr20241063","usgsCitation":"Harvey, J., Choi, J., Larsen, L., Skalak, K., Maglio, M., Quion, K., Swartz, A., Lin, J.T.Y., Gomez-Velez, J., and Schmadel, N., 2024, High-flow experimental outcomes to inform Everglades restoration, 2010–22: U.S. Geological Survey Open-File Report 2024–1063, 72 p., https://doi.org/10.3133/ofr20241063.","productDescription":"Report: xi, 72 p.; 3 Data Releases","numberOfPages":"72","onlineOnly":"Y","ipdsId":"IP-148372","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":464267,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2024/1063/coverthb.jpg"},{"id":464268,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2024/1063/ofr20241063.pdf","text":"Report","size":"5.4 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":464271,"rank":5,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/ofr20241063/full"},{"id":464270,"rank":4,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2024/1063/images"},{"id":464269,"rank":3,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/of/2024/1063/ofr20241063.XML"},{"id":464274,"rank":8,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9A9SQ85","text":"USGS Data Release","description":"Harvey, J.W., Choi, J., Quion, K., Lin, J.T., Swartz, A., Larsen, L.G., Haase, K., and Schmadel, N., 2024, High-flow Experimental Outcomes for Everglades Hydraulics and Aquatic Metabolism: U.S. Geological Survey, data release, https://doi.org/10.5066/P9A9SQ85.","linkHelpText":"- High-flow Experimental Outcomes for Everglades Hydraulics and Aquatic Metabolism"},{"id":464272,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DQYB1O","text":"USGS Data Release","description":"Harvey, J.W., and Choi, J., 2022, Biophysical Data for Simulating Overland Flow in the Everglades: U.S. Geological Survey data release, https://doi.org/10.5066/P9DQYB1O.","linkHelpText":"- Biophysical Data for Simulating Overland Flow in the Everglades"},{"id":464273,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9SP0HM1","text":"USGS Data Release","description":"Harvey, J.W., Choi, J., Larsen, L., Skalak, K., Maglio, M.M., Quion, K.M., Lin, T., Psaltakis, J.W., Buskirk, B.A., Swartz, A.G., Lewis, J.M., Gomez-Velez, J.D., and Schmadel, N.M., 2022, High-Flow Field Experiments to Inform Everglades Restoration: Experimental Data 2010 to 2022 (ver. 2.0, October 2023): U.S. Geological Survey data release, https://doi.org/10.5066/P9SP0HM1.","linkHelpText":"- High-Flow Field Experiments to Inform Everglades Restoration: Experimental Data 2010 to 2022 (ver. 2.0, October 2023)"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -82.1076224101966,\n 26.691819233104567\n ],\n [\n -82.1076224101966,\n 24.751056659514802\n ],\n [\n -79.55347920896048,\n 24.751056659514802\n ],\n [\n -79.55347920896048,\n 26.691819233104567\n ],\n [\n -82.1076224101966,\n 26.691819233104567\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"Water Resources Mission Area
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192
No abstract available.
","language":"English","publisher":"Interagency Grizzly Bear Committee","usgsCitation":"2024, Yellowstone grizzly bear investigations 2023 - Annual report of the Interagency Grizzly Bear Study Team, vi, 124 p.","productDescription":"vi, 124 p.","ipdsId":"IP-171091","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":464111,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://igbconline.org/grizzly-bear-study-team/"},{"id":503354,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Montana, Wyoming","otherGeospatial":"Greater Yellowstone ecosysstem","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.6518544446856,\n 48.90968626226547\n ],\n [\n -105.7001792785952,\n 48.90968626226547\n ],\n [\n -105.7001792785952,\n 41.948705504153025\n ],\n [\n -116.6518544446856,\n 41.948705504153025\n ],\n [\n -116.6518544446856,\n 48.90968626226547\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"editors":[{"text":"van Manen, Frank T. 0000-0001-5340-8489 fvanmanen@usgs.gov","orcid":"https://orcid.org/0000-0001-5340-8489","contributorId":2267,"corporation":false,"usgs":true,"family":"van Manen","given":"Frank","email":"fvanmanen@usgs.gov","middleInitial":"T.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":918537,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Haroldson, Mark A. 0000-0002-7457-7676 mharoldson@usgs.gov","orcid":"https://orcid.org/0000-0002-7457-7676","contributorId":1773,"corporation":false,"usgs":true,"family":"Haroldson","given":"Mark","email":"mharoldson@usgs.gov","middleInitial":"A.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":918538,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Karabensh, Bryn 0000-0002-2052-5256","orcid":"https://orcid.org/0000-0002-2052-5256","contributorId":219113,"corporation":false,"usgs":true,"family":"Karabensh","given":"Bryn","email":"","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":918539,"contributorType":{"id":2,"text":"Editors"},"rank":3}]}} ,{"id":70261306,"text":"70261306 - 2024 - Increasing phosphorus loss despite widespread concentration decline in US rivers","interactions":[],"lastModifiedDate":"2024-12-05T15:49:58.942861","indexId":"70261306","displayToPublicDate":"2024-11-18T09:44:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2982,"text":"PNAS","active":true,"publicationSubtype":{"id":10}},"title":"Increasing phosphorus loss despite widespread concentration decline in US rivers","docAbstract":"The loss of phosphorous (P) from the land to aquatic systems has polluted waters and threatened food production worldwide. Systematic trend analysis of P, a nonrenewable resource, has been challenging, primarily due to sparse and inconsistent historical data. Here, we leveraged intensive hydrometeorological data and the recent renaissance of deep learning approaches to fill data gaps and reconstruct temporal trends. We trained a multitask long short-term memory model for total P (TP) using data from 430 rivers across the contiguous United States (CONUS). Trend analysis of reconstructed daily records (1980–2019) shows widespread decline in concentrations, with declining, increasing, and insignificantly changing trends in 60%, 28%, and 12% of the rivers, respectively. Concentrations in urban rivers have declined the most despite rising urban population in the past decades; concentrations in agricultural rivers however have mostly increased, suggesting not-as-effective controls of nonpoint sources in agriculture lands compared to point sources in cities. TP loss, calculated as fluxes by multiplying concentration and discharge, however exhibited an overall increasing rate of 6.5% per decade at the CONUS scale over the past 40 y, largely due to increasing river discharge. Results highlight the challenge of reducing TP loss that is complicated by changing river discharge in a warming climate.
","language":"English","publisher":"National Academy of Sciences","doi":"10.1073/pnas.2402028121","usgsCitation":"Zhi, W., Baniecki, H., Liu, J., Boyer, E.W., Shen, C., Shenk, G.W., Liu, X., and Li, L., 2024, Increasing phosphorus loss despite widespread concentration decline in US rivers: PNAS, v. 121, no. 48, e2402028121, 9 p., https://doi.org/10.1073/pnas.2402028121.","productDescription":"e2402028121, 9 p.","ipdsId":"IP-167332","costCenters":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"links":[{"id":489078,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1073/pnas.2402028121","text":"Publisher Index Page"},{"id":464807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"conterminous United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n [\n [\n [\n -94.81758,\n 49.38905\n ],\n [\n -94.64,\n 48.84\n ],\n [\n -94.32914,\n 48.67074\n ],\n [\n -93.63087,\n 48.60926\n ],\n [\n -92.61,\n 48.45\n ],\n [\n -91.64,\n 48.14\n ],\n [\n -90.83,\n 48.27\n ],\n [\n -89.6,\n 48.01\n ],\n [\n -89.27292,\n 48.01981\n ],\n [\n -88.37811,\n 48.30292\n ],\n [\n -87.43979,\n 47.94\n ],\n [\n -86.46199,\n 47.55334\n ],\n [\n -85.65236,\n 47.22022\n ],\n [\n -84.87608,\n 46.90008\n ],\n [\n -84.77924,\n 46.6371\n ],\n [\n -84.54375,\n 46.53868\n ],\n [\n -84.6049,\n 46.4396\n ],\n [\n -84.3367,\n 46.40877\n ],\n [\n -84.14212,\n 46.51223\n ],\n [\n -84.09185,\n 46.27542\n ],\n [\n -83.89077,\n 46.11693\n ],\n [\n -83.61613,\n 46.11693\n ],\n [\n -83.46955,\n 45.99469\n ],\n [\n -83.59285,\n 45.81689\n ],\n [\n -82.55092,\n 45.34752\n ],\n [\n -82.33776,\n 44.44\n ],\n [\n -82.13764,\n 43.57109\n ],\n [\n -82.43,\n 42.98\n ],\n [\n -82.9,\n 42.43\n ],\n [\n -83.12,\n 42.08\n ],\n [\n -83.142,\n 41.97568\n ],\n [\n -83.02981,\n 41.8328\n ],\n [\n -82.69009,\n 41.67511\n ],\n [\n -82.43928,\n 41.67511\n ],\n [\n -81.27775,\n 42.20903\n ],\n [\n -80.24745,\n 42.3662\n ],\n [\n -78.93936,\n 42.86361\n ],\n [\n -78.92,\n 42.965\n ],\n [\n -79.01,\n 43.27\n ],\n [\n -79.17167,\n 43.46634\n ],\n [\n -78.72028,\n 43.62509\n ],\n [\n -77.73789,\n 43.62906\n ],\n [\n -76.82003,\n 43.62878\n ],\n [\n -76.5,\n 44.01846\n ],\n [\n -76.375,\n 44.09631\n ],\n [\n -75.31821,\n 44.81645\n ],\n [\n -74.867,\n 45.00048\n ],\n [\n -73.34783,\n 45.00738\n ],\n [\n -71.50506,\n 45.0082\n ],\n [\n -71.405,\n 45.255\n ],\n [\n -71.08482,\n 45.30524\n ],\n [\n -70.66,\n 45.46\n ],\n [\n -70.305,\n 45.915\n ],\n [\n -69.99997,\n 46.69307\n ],\n [\n -69.23722,\n 47.44778\n ],\n [\n -68.905,\n 47.185\n ],\n [\n -68.23444,\n 47.35486\n ],\n [\n -67.79046,\n 47.06636\n ],\n [\n -67.79134,\n 45.70281\n ],\n [\n -67.13741,\n 45.13753\n ],\n [\n -66.96466,\n 44.8097\n ],\n [\n -68.03252,\n 44.3252\n ],\n [\n -69.06,\n 43.98\n ],\n [\n -70.11617,\n 43.68405\n ],\n [\n -70.64548,\n 43.09024\n ],\n [\n -70.81489,\n 42.8653\n ],\n [\n -70.825,\n 42.335\n ],\n [\n -70.495,\n 41.805\n ],\n [\n -70.08,\n 41.78\n ],\n [\n -70.185,\n 42.145\n ],\n [\n -69.88497,\n 41.92283\n ],\n [\n -69.96503,\n 41.63717\n ],\n [\n -70.64,\n 41.475\n ],\n [\n -71.12039,\n 41.49445\n ],\n [\n -71.86,\n 41.32\n ],\n [\n -72.295,\n 41.27\n ],\n [\n -72.87643,\n 41.22065\n ],\n [\n -73.71,\n 40.9311\n ],\n [\n -72.24126,\n 41.11948\n ],\n [\n -71.945,\n 40.93\n ],\n [\n -73.345,\n 40.63\n ],\n [\n -73.982,\n 40.628\n ],\n [\n -73.95232,\n 40.75075\n ],\n [\n -74.25671,\n 40.47351\n ],\n [\n -73.96244,\n 40.42763\n ],\n [\n -74.17838,\n 39.70926\n ],\n [\n -74.90604,\n 38.93954\n ],\n [\n -74.98041,\n 39.1964\n ],\n [\n -75.20002,\n 39.24845\n ],\n [\n -75.52805,\n 39.4985\n ],\n [\n -75.32,\n 38.96\n ],\n [\n -75.07183,\n 38.78203\n ],\n [\n -75.05673,\n 38.40412\n ],\n [\n -75.37747,\n 38.01551\n ],\n [\n -75.94023,\n 37.21689\n ],\n [\n -76.03127,\n 37.2566\n ],\n [\n -75.72205,\n 37.93705\n ],\n [\n -76.23287,\n 38.31921\n ],\n [\n -76.35,\n 39.15\n ],\n [\n -76.54272,\n 38.71762\n ],\n [\n -76.32933,\n 38.08326\n ],\n [\n -76.99,\n 38.23999\n ],\n [\n -76.30162,\n 37.91794\n ],\n [\n -76.25874,\n 36.9664\n ],\n [\n -75.9718,\n 36.89726\n ],\n [\n -75.86804,\n 36.55125\n ],\n [\n -75.72749,\n 35.55074\n ],\n [\n -76.36318,\n 34.80854\n ],\n [\n -77.39763,\n 34.51201\n ],\n [\n -78.05496,\n 33.92547\n ],\n [\n -78.55435,\n 33.86133\n ],\n [\n -79.06067,\n 33.49395\n ],\n [\n -79.20357,\n 33.15839\n ],\n [\n -80.30132,\n 32.50935\n ],\n [\n -80.86498,\n 32.0333\n ],\n [\n -81.33629,\n 31.44049\n ],\n [\n -81.49042,\n 30.72999\n ],\n [\n -81.31371,\n 30.03552\n ],\n [\n -80.98,\n 29.18\n ],\n [\n -80.53558,\n 28.47213\n ],\n [\n -80.53,\n 28.04\n ],\n [\n -80.05654,\n 26.88\n ],\n [\n -80.08801,\n 26.20576\n ],\n [\n -80.13156,\n 25.81677\n ],\n [\n -80.38103,\n 25.20616\n ],\n [\n -80.68,\n 25.08\n ],\n [\n -81.17213,\n 25.20126\n ],\n [\n -81.33,\n 25.64\n ],\n [\n -81.71,\n 25.87\n ],\n [\n -82.24,\n 26.73\n ],\n [\n -82.70515,\n 27.49504\n ],\n [\n -82.85526,\n 27.88624\n ],\n [\n -82.65,\n 28.55\n ],\n [\n -82.93,\n 29.1\n ],\n [\n -83.70959,\n 29.93656\n ],\n [\n -84.1,\n 30.09\n ],\n [\n -85.10882,\n 29.63615\n ],\n [\n -85.28784,\n 29.68612\n ],\n [\n -85.7731,\n 30.15261\n ],\n [\n -86.4,\n 30.4\n ],\n [\n -87.53036,\n 30.27433\n ],\n [\n -88.41782,\n 30.3849\n ],\n [\n -89.18049,\n 30.31598\n ],\n [\n -89.59383,\n 30.15999\n ],\n [\n -89.41373,\n 29.89419\n ],\n [\n -89.43,\n 29.48864\n ],\n [\n -89.21767,\n 29.29108\n ],\n [\n -89.40823,\n 29.15961\n ],\n [\n -89.77928,\n 29.30714\n ],\n [\n -90.15463,\n 29.11743\n ],\n [\n -90.88022,\n 29.14854\n ],\n [\n -91.62678,\n 29.677\n ],\n [\n -92.49906,\n 29.5523\n ],\n [\n -93.22637,\n 29.78375\n ],\n [\n -93.84842,\n 29.71363\n ],\n [\n -94.69,\n 29.48\n ],\n [\n -95.60026,\n 28.73863\n ],\n [\n -96.59404,\n 28.30748\n ],\n [\n -97.14,\n 27.83\n ],\n [\n -97.37,\n 27.38\n ],\n [\n -97.38,\n 26.69\n ],\n [\n -97.33,\n 26.21\n ],\n [\n -97.14,\n 25.87\n ],\n [\n -97.53,\n 25.84\n ],\n [\n -98.24,\n 26.06\n ],\n [\n -99.02,\n 26.37\n ],\n [\n -99.3,\n 26.84\n ],\n [\n -99.52,\n 27.54\n ],\n [\n -100.11,\n 28.11\n ],\n [\n -100.45584,\n 28.69612\n ],\n [\n -100.9576,\n 29.38071\n ],\n [\n -101.6624,\n 29.7793\n ],\n [\n -102.48,\n 29.76\n ],\n [\n -103.11,\n 28.97\n ],\n [\n -103.94,\n 29.27\n ],\n [\n -104.45697,\n 29.57196\n ],\n [\n -104.70575,\n 30.12173\n ],\n [\n -105.03737,\n 30.64402\n ],\n [\n -105.63159,\n 31.08383\n ],\n [\n -106.1429,\n 31.39995\n ],\n [\n -106.50759,\n 31.75452\n ],\n [\n -108.24,\n 31.75485\n ],\n [\n -108.24194,\n 31.34222\n ],\n [\n -109.035,\n 31.34194\n ],\n [\n -111.02361,\n 31.33472\n ],\n [\n -113.30498,\n 32.03914\n ],\n [\n -114.815,\n 32.52528\n ],\n [\n -114.72139,\n 32.72083\n ],\n [\n -115.99135,\n 32.61239\n ],\n [\n -117.12776,\n 32.53534\n ],\n [\n -117.29594,\n 33.04622\n ],\n [\n -117.944,\n 33.62124\n ],\n [\n -118.4106,\n 33.74091\n ],\n [\n -118.51989,\n 34.02778\n ],\n [\n -119.081,\n 34.078\n ],\n [\n -119.43884,\n 34.34848\n ],\n [\n -120.36778,\n 34.44711\n ],\n [\n -120.62286,\n 34.60855\n ],\n [\n -120.74433,\n 35.15686\n ],\n [\n -121.71457,\n 36.16153\n ],\n [\n -122.54747,\n 37.55176\n ],\n [\n -122.51201,\n 37.78339\n ],\n [\n -122.95319,\n 38.11371\n ],\n [\n -123.7272,\n 38.95166\n ],\n [\n -123.86517,\n 39.76699\n ],\n [\n -124.39807,\n 40.3132\n ],\n [\n -124.17886,\n 41.14202\n ],\n [\n -124.2137,\n 41.99964\n ],\n [\n -124.53284,\n 42.76599\n ],\n [\n -124.14214,\n 43.70838\n ],\n [\n -124.02053,\n 44.6159\n ],\n [\n -123.89893,\n 45.52341\n ],\n [\n -124.07963,\n 46.86475\n ],\n [\n -124.39567,\n 47.72017\n ],\n [\n -124.68721,\n 48.18443\n ],\n [\n -124.5661,\n 48.37971\n ],\n [\n -123.12,\n 48.04\n ],\n [\n -122.58736,\n 47.096\n ],\n [\n -122.34,\n 47.36\n ],\n [\n -122.5,\n 48.18\n ],\n [\n -122.84,\n 49\n ],\n [\n -120,\n 49\n ],\n [\n -117.03121,\n 49\n ],\n [\n -116.04818,\n 49\n ],\n [\n -113,\n 49\n ],\n [\n -110.05,\n 49\n ],\n [\n -107.05,\n 49\n ],\n [\n -104.04826,\n 48.99986\n ],\n [\n -100.65,\n 49\n ],\n [\n -97.22872,\n 49.0007\n ],\n [\n -95.15907,\n 49\n ],\n [\n -95.15609,\n 49.38425\n ],\n [\n -94.81758,\n 49.38905\n ]\n ]\n ]\n ]\n },\n \"properties\": {\n \"name\": \"United States\"\n }\n }\n ]\n}","volume":"121","issue":"48","noUsgsAuthors":false,"publicationDate":"2024-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Zhi, Wei 0000-0001-5485-1095","orcid":"https://orcid.org/0000-0001-5485-1095","contributorId":336775,"corporation":false,"usgs":false,"family":"Zhi","given":"Wei","email":"","affiliations":[{"id":68932,"text":"Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA","active":true,"usgs":false}],"preferred":false,"id":920317,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Baniecki, Hubert 0000-0001-6661-5364","orcid":"https://orcid.org/0000-0001-6661-5364","contributorId":346942,"corporation":false,"usgs":false,"family":"Baniecki","given":"Hubert","email":"","affiliations":[{"id":83024,"text":"University of Warsaw, Warsaw, Poland","active":true,"usgs":false}],"preferred":false,"id":920318,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Liu, Jiangtao","contributorId":346943,"corporation":false,"usgs":false,"family":"Liu","given":"Jiangtao","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":920319,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Boyer, Elizabeth W.","contributorId":44659,"corporation":false,"usgs":false,"family":"Boyer","given":"Elizabeth","email":"","middleInitial":"W.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":920320,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shen, Chaopeng","contributorId":152465,"corporation":false,"usgs":false,"family":"Shen","given":"Chaopeng","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":920321,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Shenk, Gary W. 0000-0001-6451-2513","orcid":"https://orcid.org/0000-0001-6451-2513","contributorId":225440,"corporation":false,"usgs":true,"family":"Shenk","given":"Gary","email":"","middleInitial":"W.","affiliations":[{"id":37759,"text":"VA/WV Water Science Center","active":true,"usgs":true}],"preferred":true,"id":920322,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Liu, Xiaofeng 0000-0002-8296-7076","orcid":"https://orcid.org/0000-0002-8296-7076","contributorId":317075,"corporation":false,"usgs":false,"family":"Liu","given":"Xiaofeng","email":"","affiliations":[{"id":68932,"text":"Civil and Environmental Engineering, The Pennsylvania State University, University Park, PA, USA","active":true,"usgs":false}],"preferred":false,"id":920323,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Li, Li","contributorId":223548,"corporation":false,"usgs":false,"family":"Li","given":"Li","affiliations":[],"preferred":false,"id":920324,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70260965,"text":"70260965 - 2024 - Brittle regime slip partitioned damage and deformation mechanisms along the eastern Denali fault zone in southwestern, Yukon","interactions":[],"lastModifiedDate":"2024-11-18T15:26:34.743256","indexId":"70260965","displayToPublicDate":"2024-11-18T08:26:23","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7167,"text":"Journal of Geophysical Research: Solid Earth","active":true,"publicationSubtype":{"id":10}},"title":"Brittle regime slip partitioned damage and deformation mechanisms along the eastern Denali fault zone in southwestern, Yukon","docAbstract":"Rare bedrock exposures of the eastern Denali fault zone in southwestern Yukon allow for the measurement, sampling, and analyses of brittle regime fault slip data and deformation mechanisms to explore relations to far field, oblique plate motions. Host rock lithologies and associated slip surfaces show episodic damage zone‐related deformation and calcite ± hematite ± chlorite related hydrothermal fluid flow. This regional scale network of asymmetric fault damage is spatially and kinematically linked to a discrete and narrow fault core. Fault network observations, orientations, slip data, and strain inversions document a slip partitioned strike‐slip fault system with locally and mutually overprinting strike‐, oblique‐, and dip‐slip components. Microstructural analyses reveal crystal plastic and co‐seismic brittle deformation mechanisms active in a narrow range of upper crustal temperature, pressure, fluid, and chemical conditions. The net damage related slip is not exclusively formed by a single kinematic system, but rather a fully partitioned, time integrated system likely operative for much of the fault's brittle regime evolution temporally constrained by previously published thermochronometric data. Although the fault slip data was collected from outcrop‐scale exposures at sites tens of kilometers apart, results show remarkable correlation between fault kinematics and plate motions along the ∼580 km long eastern Denali fault segment. End member, subhorizontal, northeast directed reverse and north directed dextral strike slip fault strain axes closely reflect relative plate motion interactions over at least the last 30 m.y. and act as a proxy for far‐field stresses compatible with the kinematics of the damage zone network.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024JB029506","usgsCitation":"Caine, J., Orlandini, O.F., Vollmer, F.W., and Lowers, H.A., 2024, Brittle regime slip partitioned damage and deformation mechanisms along the eastern Denali fault zone in southwestern, Yukon: Journal of Geophysical Research: Solid Earth, v. 129, no. 11, e2024JB029506, 35 p., https://doi.org/10.1029/2024JB029506.","productDescription":"e2024JB029506, 35 p.","ipdsId":"IP-149623","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":466757,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024jb029506","text":"Publisher Index Page"},{"id":464228,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","state":"Alaska","otherGeospatial":"British Columbia, southwest Yukon","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -161.0212169953091,\n 60.265114667913366\n ],\n [\n -161.0212169953091,\n 52.584549776442685\n ],\n [\n -131.33133076901765,\n 52.584549776442685\n ],\n [\n -131.33133076901765,\n 60.265114667913366\n ],\n [\n -161.0212169953091,\n 60.265114667913366\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"129","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Caine, Jonathan Saul 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":199295,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan Saul","email":"jscaine@usgs.gov","affiliations":[],"preferred":true,"id":918724,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orlandini, Omero F. 0000-0002-9578-1203","orcid":"https://orcid.org/0000-0002-9578-1203","contributorId":346333,"corporation":false,"usgs":false,"family":"Orlandini","given":"Omero","email":"","middleInitial":"F.","affiliations":[{"id":13603,"text":"University of Texas, Austin","active":true,"usgs":false}],"preferred":false,"id":918725,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Vollmer, Frederick W. 0000-0002-0385-8489","orcid":"https://orcid.org/0000-0002-0385-8489","contributorId":271263,"corporation":false,"usgs":false,"family":"Vollmer","given":"Frederick","email":"","middleInitial":"W.","affiliations":[{"id":56326,"text":"State University of New York at New Paltz","active":true,"usgs":false}],"preferred":false,"id":918726,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lowers, Heather A. 0000-0001-5360-9264 hlowers@usgs.gov","orcid":"https://orcid.org/0000-0001-5360-9264","contributorId":191307,"corporation":false,"usgs":true,"family":"Lowers","given":"Heather","email":"hlowers@usgs.gov","middleInitial":"A.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":918727,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261182,"text":"70261182 - 2024 - Ticks without borders: Microbiome of immature neotropical tick species parasitizing migratory songbirds along northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2024-11-27T15:42:50.611708","indexId":"70261182","displayToPublicDate":"2024-11-17T09:17:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":19837,"text":"Frontiers in Cellular and Infection Microbiology","active":true,"publicationSubtype":{"id":10}},"title":"Ticks without borders: Microbiome of immature neotropical tick species parasitizing migratory songbirds along northern Gulf of Mexico","docAbstract":"Introduction: The long-distance, seasonal migrations of birds make them an effective ecological bridge for the movement of ticks. The introduction of exotic tick species to new geographical regions can cause the emergence of novel tick-borne pathogens. This study examined the prevalence of exotic tick species parasitizing migratory songbirds at stopover sites along the northern Gulf of Mexico using the mitochondrial 12S rRNA gene.
Methods: Overall, 421 individual ticks in the genera Amblyomma, Haemaphysalis, and Ixodes were recorded from 28 songbird species, of which Amblyomma and Amblyomma longirostre were the most abundant tick genera and species, respectively. A high throughput 16S ribosomal RNA sequencing approach characterized the microbial communities and identified pathogenic microbes in all tick samples.
Results and discussion: Microbial profiles showed that Proteobacteria was the most abundant phylum. The most abundant pathogens were Rickettsia and endosymbiont Francisella, Candidatus Midichloria, and Spiroplasma. Permutation multivariate analysis of variance revealed that the relative abundance of Francisella and Rickettsia drives microbial patterns across the tick genera. We also noted a higher percentage of positive correlations in microbe-microbe interactions among members of the microbial communities. Network analysis suggested a negative correlation between a) Francisella and Rickettsia and, b) Francisella and Cutibacterium. Lastly, mapping the distributions of bird species parasitized during spring migrations highlighted geographic hotspots where migratory songbirds could disperse ticks and their pathogens at stopover sites or upon arrival to their breeding grounds, the latter showing mean dispersal distances from 421–5003 kilometers. These findings spotlight the potential role of migratory birds in the epidemiology of tick-borne pathogens.
","language":"English","publisher":"Frontiers Media","doi":"10.3389/fcimb.2024.1472598","usgsCitation":"Karim, S., Zenzal, T.J., Beati, L., Sen, R., Adegoke, A., Kumar, D., Downs, L.P., Keko, M., Nussbaum, A., Becker, D.J., and Moore, F.R., 2024, Ticks without borders: Microbiome of immature neotropical tick species parasitizing migratory songbirds along northern Gulf of Mexico: Frontiers in Cellular and Infection Microbiology, v. 14, 1472598, 15 p., https://doi.org/10.3389/fcimb.2024.1472598.","productDescription":"1472598, 15 p.","ipdsId":"IP-155766","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":466758,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fcimb.2024.1472598","text":"Publisher Index Page"},{"id":464571,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -88.40131577203148,\n 31.254592735096182\n ],\n [\n -88.36729061913346,\n 30.10135972035171\n ],\n [\n -87.46455520517436,\n 30.10135972035171\n ],\n [\n -87.55501002782326,\n 31.31260199216662\n ],\n [\n -88.40131577203148,\n 31.254592735096182\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -93.1339319721782,\n 30.466724457964204\n ],\n [\n -93.1658440056944,\n 29.43813226845178\n ],\n [\n -90.77810437140585,\n 29.325063575125725\n ],\n [\n -90.7750284309227,\n 30.626660373854534\n ],\n [\n -93.1339319721782,\n 30.466724457964204\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"14","noUsgsAuthors":false,"publicationDate":"2024-11-18","publicationStatus":"PW","contributors":{"authors":[{"text":"Karim, Shahid","contributorId":346547,"corporation":false,"usgs":false,"family":"Karim","given":"Shahid","email":"","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":919539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zenzal, Theodore J. Jr. 0000-0001-7342-1373","orcid":"https://orcid.org/0000-0001-7342-1373","contributorId":224399,"corporation":false,"usgs":true,"family":"Zenzal","given":"Theodore","suffix":"Jr.","email":"","middleInitial":"J.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":919540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beati, Lorenza","contributorId":148019,"corporation":false,"usgs":false,"family":"Beati","given":"Lorenza","email":"","affiliations":[{"id":16976,"text":"Georgia Southern University","active":true,"usgs":false}],"preferred":false,"id":919541,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sen, Raima","contributorId":346549,"corporation":false,"usgs":false,"family":"Sen","given":"Raima","email":"","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":919542,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adegoke, Abdulsalam","contributorId":346552,"corporation":false,"usgs":false,"family":"Adegoke","given":"Abdulsalam","email":"","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":919543,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kumar, Deepak","contributorId":346555,"corporation":false,"usgs":false,"family":"Kumar","given":"Deepak","email":"","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":919544,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Downs, Latoyia P.","contributorId":346558,"corporation":false,"usgs":false,"family":"Downs","given":"Latoyia","email":"","middleInitial":"P.","affiliations":[{"id":38697,"text":"University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":919545,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Keko, Mario","contributorId":346561,"corporation":false,"usgs":false,"family":"Keko","given":"Mario","email":"","affiliations":[{"id":16976,"text":"Georgia Southern University","active":true,"usgs":false}],"preferred":false,"id":919546,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Nussbaum, Ashly","contributorId":346564,"corporation":false,"usgs":false,"family":"Nussbaum","given":"Ashly","email":"","affiliations":[{"id":16976,"text":"Georgia Southern University","active":true,"usgs":false}],"preferred":false,"id":919547,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Becker, Daniel J.","contributorId":334313,"corporation":false,"usgs":false,"family":"Becker","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":7062,"text":"University of Oklahoma","active":true,"usgs":false}],"preferred":false,"id":919548,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Moore, Frank R.","contributorId":54582,"corporation":false,"usgs":false,"family":"Moore","given":"Frank","email":"","middleInitial":"R.","affiliations":[{"id":12981,"text":"Department of Biological Sciences, University of Southern Mississippi","active":true,"usgs":false}],"preferred":false,"id":919549,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70261913,"text":"70261913 - 2024 - Genome sequences of toxigenic cyanobacteria from a bloom in Lake Mattamuskeet, North Carolina (United States)","interactions":[],"lastModifiedDate":"2026-02-10T17:49:18.930628","indexId":"70261913","displayToPublicDate":"2024-11-17T08:50:13","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2422,"text":"Journal of Phycology","active":true,"publicationSubtype":{"id":10}},"title":"Genome sequences of toxigenic cyanobacteria from a bloom in Lake Mattamuskeet, North Carolina (United States)","docAbstract":"Lake Mattamuskeet, the largest lake in North Carolina, USA, has undergone decades-long eutrophication causing reduced water quality and promoting cyanobacterial blooms that may produce toxins. It is therefore necessary to evaluate the cyanobacterial diversity of the lake and their toxigenic potential. We present draft genomes of Microcystis, Pelatocladus, Raphidiopsis, and Umezakia strains isolated from Lake Mattamuskeet. The whole-genome shotgun projects for Umezakia ovalisporum BLCC-F208, Microcystis sp. BLCC-F209, Microcystis sp. BLCC-F210, Pelatocladus sp. BLCC-F211, U. ovalisporum BLCC-F215, and Raphidiopsis BLCC-F218 have been deposited in GenBank under accession numbers JBHFLK000000000, JBHFLL000000000, CP169647, JBHFLM000000000, JBHFLN000000000, and JBHFLO000000000, respectively. Based on the genomic analysis, several biosynthetic gene clusters (BCGs) with varying degrees of similarity to known toxic and bioactive compound gene clusters were identified across the different cyanobacterial strains.
","language":"English","publisher":"Wiley","doi":"10.1111/jpy.13523","usgsCitation":"Moretto, J., Berthold, D., Lefler, F., Mazzei, V., Loftin, K.A., and Laughinghouse, D., 2024, Genome sequences of toxigenic cyanobacteria from a bloom in Lake Mattamuskeet, North Carolina (United States): Journal of Phycology, v. 60, no. 6, p. 1349-1355, https://doi.org/10.1111/jpy.13523.","productDescription":"7 p.","startPage":"1349","endPage":"1355","ipdsId":"IP-170755","costCenters":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":498256,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/jpy.13523","text":"Publisher Index Page"},{"id":465629,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Carolina","county":"Hyde County","otherGeospatial":"Albemarle-Pamlico Peninsula, Lake Mattamuskeet","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -76.35112692142471,\n 35.56784290852124\n ],\n [\n -76.35112692142471,\n 35.437352291803705\n ],\n [\n -76.03141728533264,\n 35.437352291803705\n ],\n [\n -76.03141728533264,\n 35.56784290852124\n ],\n [\n -76.35112692142471,\n 35.56784290852124\n ]\n ]\n ],\n \"type\": \"Polygon\"\n },\n \"id\": 0\n }\n ]\n}","volume":"60","issue":"6","noUsgsAuthors":false,"publicationDate":"2024-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Moretto, Jéssica A.","contributorId":347704,"corporation":false,"usgs":false,"family":"Moretto","given":"Jéssica A.","affiliations":[{"id":83207,"text":"University of Florida, Institute of Food and Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":922257,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berthold, David E.","contributorId":347705,"corporation":false,"usgs":false,"family":"Berthold","given":"David E.","affiliations":[{"id":83207,"text":"University of Florida, Institute of Food and Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":922258,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lefler, Forrest W.","contributorId":347706,"corporation":false,"usgs":false,"family":"Lefler","given":"Forrest W.","affiliations":[{"id":83207,"text":"University of Florida, Institute of Food and Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":922259,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mazzei, Viviana 0000-0001-8614-0693 vmazzei@usgs.gov","orcid":"https://orcid.org/0000-0001-8614-0693","contributorId":296094,"corporation":false,"usgs":true,"family":"Mazzei","given":"Viviana","email":"vmazzei@usgs.gov","affiliations":[{"id":554,"text":"Science and Decisions Center","active":true,"usgs":true},{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"preferred":true,"id":922260,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":221964,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith","middleInitial":"A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":922261,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Laughinghouse, Dail H. IV","contributorId":347707,"corporation":false,"usgs":false,"family":"Laughinghouse","given":"Dail H.","suffix":"IV","affiliations":[{"id":83207,"text":"University of Florida, Institute of Food and Agricultural Sciences","active":true,"usgs":false}],"preferred":false,"id":922262,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70260975,"text":"70260975 - 2024 - Layered intrusions in the Precambrian: Observations and perspectives","interactions":[],"lastModifiedDate":"2025-02-07T16:06:06.999202","indexId":"70260975","displayToPublicDate":"2024-11-16T11:21:12","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3112,"text":"Precambrian Research","active":true,"publicationSubtype":{"id":10}},"title":"Layered intrusions in the Precambrian: Observations and perspectives","docAbstract":"Layered intrusions are plutonic bodies of cumulates that form by the crystallization of mantle-derived melts. These intrusions are characterized by igneous layering distinguishable by shifts in mineralogy, texture, or composition. Layered intrusions have been fundamental to our understanding of igneous petrology; however, it is their status as important repositories of critical metals – such as platinum-group elements, chromium, and vanadium – that has predominantly driven associated research in recent decades. Many layered intrusions were emplaced during the Precambrian, predominantly at the margins of ancient cratons during intervals of supercontinent accretion and destruction. It appears that large, layered intrusions require rigid crust to ensure their preservation, and their geometry and layering is primarily controlled by the nature of melt emplacement.
Layered intrusions are best investigated by integrating observations from various length-scales. At the macroscale, intrusion geometries can be discerned, and their presence understood in the context of the regional geology. At the mesoscale, the layering of an intrusion may be characterized, intrusion-host rock contact relationships studied, and the nature of stratiform mineral occurrences described. At the microscale, the mineralogy and texture of cumulate rocks and any mineralization are elucidated, particularly when novel microtextural and mineral chemical datasets are integrated. For example, here we demonstrate how mesoscale observations and microscale datasets can be combined to understand the petrogenesis of the perplexing snowball oiks outcrop located in the Upper Banded Series of the Stillwater Complex. Our data suggest that the orthopyroxene oikocrysts did not form in their present location, but rather formed in a dynamic magma chamber where crystals were transported either by convective currents or within crystal-rich slurries.
Critical metals may be transported to the level of a nascent intrusion as dissolved components in the melt. Alternatively, ore minerals are entrained from elsewhere in a plumbing system, potentially facilitated by volatile-rich phases. There are many ore-forming processes propounded by researchers to occur at the level of emplacement; however, each must address the arrival of the ore mineral, its concentration of metals, and its accumulation into orebodies. In this contribution, several of these processes are described as well as our perspectives on the future of layered intrusion research.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.precamres.2024.107615","usgsCitation":"Smith, W.D., Jenkins, M., Augustin, C.T., Virtanen, V.J., Vukmanovic, Z., and O’Driscoll, B., 2024, Layered intrusions in the Precambrian: Observations and perspectives: Precambrian Research, v. 415, 107615, 31 p., https://doi.org/10.1016/j.precamres.2024.107615.","productDescription":"107615, 31 p.","ipdsId":"IP-169762","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":466760,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.precamres.2024.107615","text":"Publisher Index Page"},{"id":464288,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"415","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, William D.","contributorId":335361,"corporation":false,"usgs":false,"family":"Smith","given":"William","email":"","middleInitial":"D.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":918775,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jenkins, Michael 0000-0002-4261-409X mjenkins@usgs.gov","orcid":"https://orcid.org/0000-0002-4261-409X","contributorId":172433,"corporation":false,"usgs":true,"family":"Jenkins","given":"Michael","email":"mjenkins@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":918776,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Augustin, Claudia T.","contributorId":346348,"corporation":false,"usgs":false,"family":"Augustin","given":"Claudia","email":"","middleInitial":"T.","affiliations":[{"id":82834,"text":"Mineral Deposits Group, Department of Earth Sciences, Carleton University","active":true,"usgs":false}],"preferred":false,"id":918777,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Virtanen, Ville J.","contributorId":346349,"corporation":false,"usgs":false,"family":"Virtanen","given":"Ville","email":"","middleInitial":"J.","affiliations":[{"id":82835,"text":"Institut des Sciences de la Terre d’Orléans; Department of Geosciences and Geography, University of Helsinki","active":true,"usgs":false}],"preferred":false,"id":918778,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vukmanovic, Zoja","contributorId":346350,"corporation":false,"usgs":false,"family":"Vukmanovic","given":"Zoja","email":"","affiliations":[{"id":82836,"text":"School of Environmental Sciences, University of East Anglia","active":true,"usgs":false}],"preferred":false,"id":918779,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"O’Driscoll, Brian","contributorId":346351,"corporation":false,"usgs":false,"family":"O’Driscoll","given":"Brian","email":"","affiliations":[{"id":35511,"text":"Department of Earth and Environmental Sciences, University of Ottawa","active":true,"usgs":false}],"preferred":false,"id":918780,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70261717,"text":"70261717 - 2024 - Hydroacoustic observations reveal drivers of mixing and salinization of a karst subterranean estuary during intense precipitation","interactions":[],"lastModifiedDate":"2024-12-19T15:38:35.633185","indexId":"70261717","displayToPublicDate":"2024-11-16T09:35:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Hydroacoustic observations reveal drivers of mixing and salinization of a karst subterranean estuary during intense precipitation","docAbstract":"Karst subterranean estuaries within globally ubiquitous carbonate aquifers are coastal groundwater ecosystems that provide an essential water resource for human populations. To understand the drivers of salinization within a coastal aquifer in the Yucatan Peninsula (Mexico), we employed hydroacoustics in flooded caves to observe how oceanic and atmospheric events facilitate mixing between the meteoric lens (fresh-brackish groundwater) and the saline groundwater on tidal and episodic timescales. Precipitation during Tropical Storm Carlotta increased the flow and salinity of the meteoric lens without evidence for vertical mixing across the halocline. We postulate that vertical migration of haloclines in the conduit relative to those within the rock matrix during precipitation creates lateral density gradients that drive mixing, and ultimately creates a brackish layer within the meteoric lens. These results provide a mechanistic explanation for vertical and lateral exchange in a coastal carbonate aquifer, which has implications for groundwater response to future climatic change.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2024GL109993","usgsCitation":"Ganju, N., Pohlman, J., Suttles, S.E., and Brankovits, D., 2024, Hydroacoustic observations reveal drivers of mixing and salinization of a karst subterranean estuary during intense precipitation: Geophysical Research Letters, v. 51, no. 22, e2024GL109993, 10 p., https://doi.org/10.1029/2024GL109993.","productDescription":"e2024GL109993, 10 p.","ipdsId":"IP-164811","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":466761,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl109993","text":"Publisher Index Page"},{"id":465334,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Mexico","otherGeospatial":"Ox Bel Ha cave system, Yucatan peninsula","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.30558586746815,\n 20.291951181554595\n ],\n [\n -88.15009160916765,\n 20.291951181554595\n ],\n [\n -88.15009160916765,\n 19.703686313193117\n ],\n [\n -87.30558586746815,\n 19.703686313193117\n ],\n [\n -87.30558586746815,\n 20.291951181554595\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"22","noUsgsAuthors":false,"publicationDate":"2024-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Ganju, Neil K. 0000-0002-1096-0465","orcid":"https://orcid.org/0000-0002-1096-0465","contributorId":202878,"corporation":false,"usgs":true,"family":"Ganju","given":"Neil K.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":921577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pohlman, John 0000-0002-3563-4586","orcid":"https://orcid.org/0000-0002-3563-4586","contributorId":220804,"corporation":false,"usgs":true,"family":"Pohlman","given":"John","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"preferred":true,"id":921578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Suttles, Steven E. 0000-0002-4119-8370 ssuttles@usgs.gov","orcid":"https://orcid.org/0000-0002-4119-8370","contributorId":192272,"corporation":false,"usgs":true,"family":"Suttles","given":"Steven","email":"ssuttles@usgs.gov","middleInitial":"E.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":921579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brankovits, David","contributorId":296665,"corporation":false,"usgs":false,"family":"Brankovits","given":"David","affiliations":[{"id":64117,"text":"Molecular Ecology Group, Water Research Institute, National Research Council of Italy (IRSA CNR), Pallanza","active":true,"usgs":false}],"preferred":false,"id":921580,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70261271,"text":"70261271 - 2024 - Awakening of Maunaloa linked to melt shared from Kilauea’s mantle source","interactions":[],"lastModifiedDate":"2024-12-04T15:22:55.307538","indexId":"70261271","displayToPublicDate":"2024-11-16T08:12:31","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"title":"Awakening of Maunaloa linked to melt shared from Kilauea’s mantle source","docAbstract":"Maunaloa—the largest active volcano on Earth—erupted in 2022 after its longest known repose period (~38 years) and two decades of volcanic unrest. This eruptive hiatus at Maunaloa encompasses most of the ~35-year-long Puʻuʻōʻō eruption of neighboring Kīlauea, which ended in 2018 with a collapse of the summit caldera and an unusually voluminous (~1 km3) rift eruption. A long-term pattern of such anticorrelated eruptive behavior suggests that a magmatic connection exists between these volcanoes within the asthenospheric mantle source and melting region, the lithospheric mantle, and/or the volcanic edifice. The exact nature of this connection is enigmatic. In the past, the distinct compositions of lavas from Kīlauea and Maunaloa were thought to require completely separate magma pathways from the mantle source of each volcano to the surface. Here, we use a nearly 200-yr record of lava chemistry from both volcanoes to demonstrate that melt from a shared mantle source within the Hawaiian plume may be transported alternately to Kīlauea or Maunaloa on a timescale of decades. This process led to a correlated temporal variation in 206Pb/204Pb and 87Sr/86Sr at these volcanoes since the early 19th century with each becoming more active when it received melt from the shared source. Ratios of highly over moderately incompatible trace elements (e.g., Nb/Y) at Kīlauea reached a minimum from ~2000 to 2010, which coincides with an increase in seismicity and inflation at the summit of Maunaloa. Thereafter, a reversal in Nb/Y at Kīlauea signals a decline in the degree of mantle partial melting at this volcano and suggests that melt from the shared source is now being diverted from Kīlauea to Maunaloa for the first time since the early to mid-20th century. These observations link a mantle-related shift in melt generation and transport at Kīlauea to the awakening of Maunaloa in 2002 and its eruption in 2022. Monitoring of lava chemistry is a potential tool that may be used to forecast the behavior (e.g., eruption rate and frequency) of these adjacent volcanoes on a timescale of decades. A future increase in eruptive activity at Maunaloa is likely if the temporal increase in Nb/Y continues at Kīlauea.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egae121","usgsCitation":"Pietruszka, A., Heaton, D.E., Marske, J.P., Norman, M.D., Robbins, M.G., Mershon, R.B., Lynn, K.J., Downs, D.T., Steiner, A.R., Rhodes, J.M., and Garcia, M.O., 2024, Awakening of Maunaloa linked to melt shared from Kilauea’s mantle source: Journal of Petrology, v. 65, no. 12, egae121, 9 p., https://doi.org/10.1093/petrology/egae121.","productDescription":"egae121, 9 p.","ipdsId":"IP-169683","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":466762,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egae121","text":"Publisher Index Page"},{"id":464749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kīlauea volcano, Maunaloa volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -155.62647011347312,\n 19.636068332660543\n ],\n [\n -155.62647011347312,\n 19.326511618337022\n ],\n [\n -155.16252314077784,\n 19.326511618337022\n ],\n [\n -155.16252314077784,\n 19.636068332660543\n ],\n [\n -155.62647011347312,\n 19.636068332660543\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"65","issue":"12","noUsgsAuthors":false,"publicationDate":"2024-11-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Pietruszka, Aaron J.","contributorId":346909,"corporation":false,"usgs":false,"family":"Pietruszka","given":"Aaron J.","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":920179,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heaton, Daniel E.","contributorId":172800,"corporation":false,"usgs":false,"family":"Heaton","given":"Daniel","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":920180,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marske, Jared P.","contributorId":172801,"corporation":false,"usgs":false,"family":"Marske","given":"Jared","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":920181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Norman, Marc D.","contributorId":344700,"corporation":false,"usgs":false,"family":"Norman","given":"Marc","email":"","middleInitial":"D.","affiliations":[{"id":16807,"text":"Australian National University","active":true,"usgs":false}],"preferred":false,"id":920182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Robbins, Mahinaokalani G.","contributorId":346912,"corporation":false,"usgs":false,"family":"Robbins","given":"Mahinaokalani","email":"","middleInitial":"G.","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":920183,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Mershon, Reed B.","contributorId":346915,"corporation":false,"usgs":false,"family":"Mershon","given":"Reed","email":"","middleInitial":"B.","affiliations":[{"id":39036,"text":"University of Hawaii at Manoa","active":true,"usgs":false}],"preferred":false,"id":920184,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lynn, Kendra J. 0000-0001-7886-4376","orcid":"https://orcid.org/0000-0001-7886-4376","contributorId":290327,"corporation":false,"usgs":true,"family":"Lynn","given":"Kendra","email":"","middleInitial":"J.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920185,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":920186,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Steiner, Arron R.","contributorId":346918,"corporation":false,"usgs":false,"family":"Steiner","given":"Arron","email":"","middleInitial":"R.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":920187,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rhodes, J. Michael","contributorId":215130,"corporation":false,"usgs":false,"family":"Rhodes","given":"J.","email":"","middleInitial":"Michael","affiliations":[],"preferred":false,"id":920188,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Garcia, Michael O.","contributorId":225524,"corporation":false,"usgs":false,"family":"Garcia","given":"Michael","email":"","middleInitial":"O.","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":920189,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70263369,"text":"70263369 - 2024 - Seismicity zoning at Coso geothermal field and stress changes from fluid production and migration","interactions":[],"lastModifiedDate":"2025-02-07T18:50:48.949723","indexId":"70263369","displayToPublicDate":"2024-11-15T11:43:19","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1427,"text":"Earth and Planetary Science Letters","active":true,"publicationSubtype":{"id":10}},"title":"Seismicity zoning at Coso geothermal field and stress changes from fluid production and migration","docAbstract":"As part of U.S. Geological Survey's (USGS) efforts to identify and assess geothermal energy resources of the US, a three-dimensional (3D) geologic and thermal model has been constructed for the Williston Basin, USA. The geologic model consists of all sedimentary units above the Proterozoic and Archean crystalline rock (called basement herein), with a total sedimentary thickness of up to 5 km near the basin center. Twenty-nine geologic units were mapped from interpreted formation tops from 16,465 wells. A 3D temperature model was constructed to a depth of 7 km by constructing a 3D heat flow model for the sedimentary units, followed by estimating underlying temperature using a one-dimensional (1D) analytic solution for heat flow within the underlying crystalline basement. Using the sedimentary basin model, heat flow was simulated in 3D and was calibrated using three temperature datasets: 1) 24 high-confidence static temperature logs (equilibrium thermal profiles), 2) more than15,000 drill stem test (DST) measurements from >7,000 wells, and 3) more than 45,000 bottomhole temperature (BHT) measurements from >14,000 wells. The DST and BHT datasets provide broad spatial coverage, but are lower confidence, primarily because measurements were made prior to attaining thermal equilibrium. DST and BHT measurements were binned regionally to develop representative thermal profiles that generally agree with these lower quality data (hereafter called pseudowell temperature profiles). Layer properties (primarily thermal conductivity and compaction curves) were set to best estimate values, then the heat flow model was calibrated to fit pseudowell and static temperature logs primarily by adjusting basal heat flow to approximate the overall temperature profile. Minor adjustments to thermal conductivity allowed adjusting changes in slope at lithologic contacts. Resulting maps include 3D temperature and basal (bottom of sedimentary units) heat flow estimates, which are used as input for the temperature model of the basement. The crystalline basement temperature model uses an analytic 1D solution to the heat flow equation that requires estimates of heat flow and temperature at the upper boundary (i.e., the sediment/basement contact), radiogenic heat production within the crystalline basement, and reference thermal conductivity (i.e., uncorrected for temperature). Two regions of high heat flow are identified: 1) in western North Dakota along the North American Central Plains Conductivity Anomaly and 2) in eastern Montana near the Poplar dome. Within the sedimentary column in the center of the basin of the basin, an area of approximately 100,000 km2 is predicted to have moderate- to high-temperature geothermal resources (>90 °C) under the thickest sequences of sediments. Where thick insulation and high heat flow coincide, electric-grade resources can be less than 4 km deep. Assuming a maximum feasible drilling depth of 7 km, temperatures are predicted to be as high as 175 °C. The geologic model may be used to identify strata at sufficient temperatures that may have natural permeability or that may have conditions that favor development of enhanced/engineered geothermal systems resources.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.geothermics.2024.103196","usgsCitation":"Gelman, S.E., and Burns, E.R., 2024, Three-dimensional temperature maps of the Williston Basin, USA: Implications for deep hot sedimentary and enhanced geothermal resources: Geothermics, v. 125, 103196, 9 p., https://doi.org/10.1016/j.geothermics.2024.103196.","productDescription":"103196, 9 p.","ipdsId":"IP-165645","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":466763,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.geothermics.2024.103196","text":"Publisher Index Page"},{"id":464292,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Montana, North Dakota, South Dakota","otherGeospatial":"Williston Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -107.05487036081263,\n 49.09401622161886\n ],\n [\n -107.05487036081263,\n 45.9204646960259\n ],\n [\n -100.81731222757732,\n 45.9204646960259\n ],\n [\n -100.81731222757732,\n 49.09401622161886\n ],\n [\n -107.05487036081263,\n 49.09401622161886\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"125","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Gelman, Sarah E. 0000-0003-2549-9509","orcid":"https://orcid.org/0000-0003-2549-9509","contributorId":270004,"corporation":false,"usgs":true,"family":"Gelman","given":"Sarah","email":"","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":918757,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Erick R. 0000-0002-1747-0506 eburns@usgs.gov","orcid":"https://orcid.org/0000-0002-1747-0506","contributorId":192154,"corporation":false,"usgs":true,"family":"Burns","given":"Erick","email":"eburns@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":918758,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70270062,"text":"70270062 - 2024 - Differentiating cheatgrass and medusahead phenological characteristics in western United States rangelands","interactions":[],"lastModifiedDate":"2025-08-08T15:24:31.376369","indexId":"70270062","displayToPublicDate":"2024-11-15T10:19:32","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3250,"text":"Remote Sensing","active":true,"publicationSubtype":{"id":10}},"title":"Differentiating cheatgrass and medusahead phenological characteristics in western United States rangelands","docAbstract":"Expansions in the extent and infestation levels of exotic annual grass (EAG) within the rangelands of the western United States are well documented. Land managers are tasked with developing plans to limit EAG spread and prevent irreversible ecosystem deterioration. The most common EAG species and the subject of extensive study is Bromus tectorum (cheatgrass). Cheatgrass has spread rapidly in western rangelands since its initial invasion more than 100 years ago. Another concerning aggressive EAG, Taeniatherum caput-medusae (medusahead), is also commonly found in some of these areas. To control the spread of EAGs, researchers have investigated applying several control methods during different developmental stages of cheatgrass and medusahead. These control strategies require accurate maps of the timing and spatial patterns of the developmental stages to apply mitigation strategies in the correct areas at the right time. In this study, we developed annual phenological datasets for cheatgrass and medusahead with two objectives. The first objective was to determine if cheatgrass and medusahead can be differentiated at 30 m resolution using their phenological differences. The second objective was to establish an annual phenology metric regression tree model used to map the growing seasons of cheatgrass and medusahead. Harmonized Landsat and Sentinel-2 (HLS)-derived predicted weekly cloud-free 30 m normalized difference vegetation index (NDVI) images were used to develop these metric maps. The result of this effort was maps that identify the start and end of sustained growing season time for cheatgrass and medusahead at 30 m for the Snake River Plain and Northern Basin and Range ecoregions. These phenological datasets also identify the start and end-of-season NDVI values, along with maximum NDVI throughout the study period. These metrics may be utilized to characterize annual growth patterns for cheatgrass and medusahead. This approach can be utilized to plan time-sensitive control measures such as herbicide applications or cattle grazing.
","language":"English","publisher":"MDPI","doi":"10.3390/rs16224258","usgsCitation":"Benedict, T.D., Boyte, S., and Dahal, D., 2024, Differentiating cheatgrass and medusahead phenological characteristics in western United States rangelands: Remote Sensing, v. 16, no. 22, 4258, 21 p., https://doi.org/10.3390/rs16224258.","productDescription":"4258, 21 p.","ipdsId":"IP-171996","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":494184,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs16224258","text":"Publisher Index Page"},{"id":493848,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"western United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -100.28187929406397,\n 48.82060636906533\n ],\n [\n -124.99361768794509,\n 48.88697493321598\n ],\n [\n -124.99361768794509,\n 30.85327470627726\n ],\n [\n -99.69664006714606,\n 30.849197853937767\n ],\n [\n -100.28187929406397,\n 48.82060636906533\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"16","issue":"22","noUsgsAuthors":false,"publicationDate":"2024-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Benedict, Trenton David 0000-0001-8672-2204","orcid":"https://orcid.org/0000-0001-8672-2204","contributorId":346111,"corporation":false,"usgs":true,"family":"Benedict","given":"Trenton","middleInitial":"David","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":945268,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Boyte, Stephen P. 0000-0002-5462-3225","orcid":"https://orcid.org/0000-0002-5462-3225","contributorId":205374,"corporation":false,"usgs":true,"family":"Boyte","given":"Stephen P.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":945269,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dahal, Devendra 0000-0001-9594-1249","orcid":"https://orcid.org/0000-0001-9594-1249","contributorId":192023,"corporation":false,"usgs":false,"family":"Dahal","given":"Devendra","affiliations":[],"preferred":false,"id":945270,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70263331,"text":"70263331 - 2024 - Toxicity of crude oil-derived polar unresolved complex mixtures to Pacific herring embryos: Insights beyond polycyclic aromatic hydrocarbons","interactions":[],"lastModifiedDate":"2025-02-06T16:19:44.84516","indexId":"70263331","displayToPublicDate":"2024-11-15T10:16:35","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Toxicity of crude oil-derived polar unresolved complex mixtures to Pacific herring embryos: Insights beyond polycyclic aromatic hydrocarbons","docAbstract":"Crude oil toxicity to early life stage fish is commonly attributed to polycyclic aromatic hydrocarbons (PAHs). However, it remains unclear how the polar unresolved complex mixture (UCM), which constitutes the bulk of the water-soluble fraction of crude oil, contributes to crude oil toxicity. Additionally, the role of photomodification-induced toxicity in relation to the polar UCM is not well understood. This study addresses these knowledge gaps by assessing the toxicity of two laboratory generated polar UCMs from Cook Inlet crude oil, representing the readily water-soluble fraction of crude oil and photoproduced hydrocarbon oxidation products (HOPs), to Pacific herring (Clupea pallasii) embryos. A small-scale semi-static exposure design was utilized with a range of polar UCM concentrations (0.5–14 mg/L) in nonvolatile dissolved organic carbon (NVDOC) units, quantifying the entire polar UCM. Compositional analyses revealed a photochemical-driven shift toward more complex aromatic compositions, naphthenic acids, and no detectable levels of PAHs (above 0.3 μg/L). Exposure to the dark polar UCM resulted in higher mortality than exposure to the light polar UCM. Both dark and light polar UCMs induced developmental abnormalities commonly attributed to the PAH fraction, including edema, reduced heart rate, body axis defects, and decreased body lengths, with these effects observed at the lowest dose group (0.5 mg/L NVDOC). These responses suggest photomodification-induced toxicity is driven by exposure to increased concentrations of dissolved HOPs rather than photochemical induced compositional changes. Gene expression analyses focusing on xenobiotic metabolism and cardiac morphogenesis yielded results consistent with previous studies examining the biological mechanisms of crude oil toxicity. In summary, these phenotypic and genotypic responses in Pacific herring embryos indicate that the polar UCM is a significant driver of crude oil toxicity. These findings emphasize the importance of considering the polar UCM in future studies, metric reporting, and risk assessments related to crude oil toxicity.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2024.177447","usgsCitation":"Harsha, M.L., Salas-Ortiz, Y., Cypher, A., Osborn, E., Turcios Valle, E., Gregg, J.L., Hershberger, P., Kurerov, Y., King, S., Goranov, A., Hatcher, P., Konefal, A., Cox, T., Greer, J.B., Meador, J., Tarr, M., Tomco, P., and Podgorski, D.C., 2024, Toxicity of crude oil-derived polar unresolved complex mixtures to Pacific herring embryos: Insights beyond polycyclic aromatic hydrocarbons: Science of the Total Environment, v. 957, 177447, 14 p., https://doi.org/10.1016/j.scitotenv.2024.177447.","productDescription":"177447, 14 p.","ipdsId":"IP-169067","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":486981,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.scitotenv.2024.177447","text":"Publisher Index Page"},{"id":481752,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"957","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Harsha, Maxwell L.","contributorId":328609,"corporation":false,"usgs":false,"family":"Harsha","given":"Maxwell","email":"","middleInitial":"L.","affiliations":[{"id":37245,"text":"University of New Orleans","active":true,"usgs":false}],"preferred":false,"id":926424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Salas-Ortiz, Yanila","contributorId":350611,"corporation":false,"usgs":false,"family":"Salas-Ortiz","given":"Yanila","affiliations":[{"id":83788,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cypher, Alysha D.","contributorId":350612,"corporation":false,"usgs":false,"family":"Cypher","given":"Alysha D.","affiliations":[{"id":83789,"text":"Prince William Sound Science Center, Cordova, Alaska","active":true,"usgs":false}],"preferred":false,"id":926426,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Osborn, Ed","contributorId":350613,"corporation":false,"usgs":false,"family":"Osborn","given":"Ed","affiliations":[{"id":83788,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926427,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Turcios Valle, Eduardo","contributorId":350614,"corporation":false,"usgs":false,"family":"Turcios Valle","given":"Eduardo","affiliations":[{"id":83788,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926428,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gregg, Jacob L. 0000-0001-5328-5482 jgregg@usgs.gov","orcid":"https://orcid.org/0000-0001-5328-5482","contributorId":203912,"corporation":false,"usgs":true,"family":"Gregg","given":"Jacob","email":"jgregg@usgs.gov","middleInitial":"L.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":926429,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hershberger, Paul 0000-0002-2261-7760","orcid":"https://orcid.org/0000-0002-2261-7760","contributorId":203322,"corporation":false,"usgs":true,"family":"Hershberger","given":"Paul","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":926430,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kurerov, Yuri","contributorId":350615,"corporation":false,"usgs":false,"family":"Kurerov","given":"Yuri","affiliations":[{"id":83790,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana; Eurofins Central Analytical Laboratories, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926431,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"King, Sarah","contributorId":329377,"corporation":false,"usgs":false,"family":"King","given":"Sarah","affiliations":[{"id":13606,"text":"CSU","active":true,"usgs":false}],"preferred":false,"id":926432,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Goranov, Aleksandar I.","contributorId":350616,"corporation":false,"usgs":false,"family":"Goranov","given":"Aleksandar I.","affiliations":[{"id":83791,"text":"Department of Chemistry and Biochemistry, Old Dominion University, Norfolk, Virginia","active":true,"usgs":false}],"preferred":false,"id":926433,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hatcher, Patrick G.","contributorId":350617,"corporation":false,"usgs":false,"family":"Hatcher","given":"Patrick G.","affiliations":[{"id":83791,"text":"Department of Chemistry and Biochemistry, Old Dominion University, Norfolk, Virginia","active":true,"usgs":false}],"preferred":false,"id":926434,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Konefal, Anastasia","contributorId":350618,"corporation":false,"usgs":false,"family":"Konefal","given":"Anastasia","affiliations":[{"id":83792,"text":"Department of Biological Sciences, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926435,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Cox, T. Erin","contributorId":350619,"corporation":false,"usgs":false,"family":"Cox","given":"T. Erin","affiliations":[{"id":83792,"text":"Department of Biological Sciences, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926436,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Greer, Justin Blaine 0000-0001-6660-9976","orcid":"https://orcid.org/0000-0001-6660-9976","contributorId":265183,"corporation":false,"usgs":true,"family":"Greer","given":"Justin","email":"","middleInitial":"Blaine","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":926437,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Meador, James P.","contributorId":174075,"corporation":false,"usgs":false,"family":"Meador","given":"James P.","affiliations":[],"preferred":false,"id":926438,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Tarr, Matthew A.","contributorId":350620,"corporation":false,"usgs":false,"family":"Tarr","given":"Matthew A.","affiliations":[{"id":83788,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana","active":true,"usgs":false}],"preferred":false,"id":926439,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Tomco, Patrick L.","contributorId":350621,"corporation":false,"usgs":false,"family":"Tomco","given":"Patrick L.","affiliations":[{"id":83793,"text":"Department of Chemistry, Chemical Analysis & Mass Spectrometry Facility, University of New Orleans, New Orleans, Louisiana; Department of Chemistry, University of Alaska Anchorage, Anchorage, Alaska","active":true,"usgs":false}],"preferred":false,"id":926440,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Podgorski, David C.","contributorId":178153,"corporation":false,"usgs":false,"family":"Podgorski","given":"David","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":926441,"contributorType":{"id":1,"text":"Authors"},"rank":18}]}} ,{"id":70261006,"text":"70261006 - 2024 - Shallow lake, strong shake: Record of seismically triggered lacustrine sedimentation from the 1959 M7.3 Hebgen Lake earthquake within Henrys Lake, Idaho","interactions":[],"lastModifiedDate":"2024-11-20T16:01:17.986427","indexId":"70261006","displayToPublicDate":"2024-11-15T08:52:14","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Shallow lake, strong shake: Record of seismically triggered lacustrine sedimentation from the 1959 M7.3 Hebgen Lake earthquake within Henrys Lake, Idaho","docAbstract":"We investigate a shallow lake basin for evidence of a large historic intraplate earthquake in western North America. Henrys Lake, Idaho is an atypical candidate for a lacustrine paleoseismic study given its shallow depth (~7 m) and low relief (≤2° slopes). Here, we test the earthquake-recording capacity of this basin type by showing sedimentological evidence of the 1959 M7.3 Hebgen Lake earthquake within sediment cores, using anthropogenically produced 137Cs activity to constrain timing. In addition to expanding the morphologic range of basins targeted for lacustrine paleoseismic studies, this work has implications for sediment response in dam-enhanced basins. Lack of sedimentological evidence for other earthquakes coupled with radiocarbon chronology reveals that the 1959 event is the only clearly recorded earthquake within Henrys Lake since the mid-Holocene. Henrys Lake offers a proxy for paleo-earthquake signatures within similar lacustrine environments and underscores the importance of further paleoseismic studies in the region.
","language":"English","publisher":"Wiley","doi":"10.1029/2024GL110889","usgsCitation":"Nicovich, S.R., DuRoss, C., Jobe, J.A., Rodysill, J.R., Briggs, R.W., Hatem, A.E., Tan, M.M., Gavillot, Y., Lindberg, N.S., Strickland, L.E., and Padgett, J.S., 2024, Shallow lake, strong shake: Record of seismically triggered lacustrine sedimentation from the 1959 M7.3 Hebgen Lake earthquake within Henrys Lake, Idaho: Geophysical Research Letters, v. 51, no. 22, e2024GL110889, 11 p., https://doi.org/10.1029/2024GL110889.","productDescription":"e2024GL110889, 11 p.","ipdsId":"IP-167885","costCenters":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"links":[{"id":466764,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2024gl110889","text":"Publisher Index Page"},{"id":464345,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho","otherGeospatial":"Hebgen Lake, Henrys Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.45881148824645,\n 44.845297009896484\n ],\n [\n -111.45881148824645,\n 44.610209622907945\n ],\n [\n -111.13135522334028,\n 44.610209622907945\n ],\n [\n -111.13135522334028,\n 44.845297009896484\n ],\n [\n -111.45881148824645,\n 44.845297009896484\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"51","issue":"22","noUsgsAuthors":false,"publicationDate":"2024-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Nicovich, Sylvia R. 0000-0003-4280-4034","orcid":"https://orcid.org/0000-0003-4280-4034","contributorId":341909,"corporation":false,"usgs":true,"family":"Nicovich","given":"Sylvia","email":"","middleInitial":"R.","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":918880,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"DuRoss, Christopher B. 0000-0002-6963-7451 cduross@usgs.gov","orcid":"https://orcid.org/0000-0002-6963-7451","contributorId":152321,"corporation":false,"usgs":true,"family":"DuRoss","given":"Christopher","email":"cduross@usgs.gov","middleInitial":"B.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":918881,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thompson Jobe, Jessica A. 0000-0001-5574-4523","orcid":"https://orcid.org/0000-0001-5574-4523","contributorId":295377,"corporation":false,"usgs":true,"family":"Thompson Jobe","given":"Jessica","middleInitial":"A.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":918882,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodysill, Jessica R. 0000-0002-3602-7227 jrodysill@usgs.gov","orcid":"https://orcid.org/0000-0002-3602-7227","contributorId":207577,"corporation":false,"usgs":true,"family":"Rodysill","given":"Jessica","email":"jrodysill@usgs.gov","middleInitial":"R.","affiliations":[{"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":918887,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Briggs, Richard W. 0000-0001-8108-0046 rbriggs@usgs.gov","orcid":"https://orcid.org/0000-0001-8108-0046","contributorId":4136,"corporation":false,"usgs":true,"family":"Briggs","given":"Richard","email":"rbriggs@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":918883,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hatem, Alexandra Elise 0000-0001-7584-2235","orcid":"https://orcid.org/0000-0001-7584-2235","contributorId":225597,"corporation":false,"usgs":true,"family":"Hatem","given":"Alexandra","email":"","middleInitial":"Elise","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":918884,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Tan, Madeleine Mai-Lynh 0000-0003-2959-5733","orcid":"https://orcid.org/0000-0003-2959-5733","contributorId":346394,"corporation":false,"usgs":true,"family":"Tan","given":"Madeleine","email":"","middleInitial":"Mai-Lynh","affiliations":[{"id":78941,"text":"Geologic Hazards Science Center - Landslides / Earthquake Geology","active":true,"usgs":true}],"preferred":true,"id":918885,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gavillot, Yann 0000-0003-4061-0682","orcid":"https://orcid.org/0000-0003-4061-0682","contributorId":346395,"corporation":false,"usgs":false,"family":"Gavillot","given":"Yann","email":"","affiliations":[{"id":82859,"text":"Montana Tech University","active":true,"usgs":false}],"preferred":false,"id":918886,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Lindberg, Noah Silas 0000-0003-2861-3290","orcid":"https://orcid.org/0000-0003-2861-3290","contributorId":334408,"corporation":false,"usgs":true,"family":"Lindberg","given":"Noah","email":"","middleInitial":"Silas","affiliations":[{"id":78686,"text":"Geologic Hazards Science Center - Seismology / Geomagnetism","active":true,"usgs":true}],"preferred":true,"id":918888,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Strickland, Laura E. 0000-0002-1958-7273 lstrickland@usgs.gov","orcid":"https://orcid.org/0000-0002-1958-7273","contributorId":4682,"corporation":false,"usgs":true,"family":"Strickland","given":"Laura","email":"lstrickland@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":918889,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Padgett, Jason Scott 0000-0003-1157-8716","orcid":"https://orcid.org/0000-0003-1157-8716","contributorId":294391,"corporation":false,"usgs":true,"family":"Padgett","given":"Jason","email":"","middleInitial":"Scott","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":918890,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70260924,"text":"gip245 - 2024 - The U.S. Geological Survey National Water Quality Network—Surface Water—2023","interactions":[],"lastModifiedDate":"2025-12-22T21:22:29.719591","indexId":"gip245","displayToPublicDate":"2024-11-15T07:39:14","publicationYear":"2024","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"245","displayTitle":"The U.S. Geological Survey National Water Quality Network—Surface Water—2023","title":"The U.S. Geological Survey National Water Quality Network—Surface Water—2023","docAbstract":"The U.S. Geological Survey (USGS) National Water Quality Network for surface water (NWQN-SW) was established in 2013 to develop long-term, comparable assessments of surface-water quality in support of national, regional, state, and local needs related to water-quality management and policy. Waterquality samples are collected at each site and measured for a variety of parameters. In 2023, the NWQN-SW consisted of 109 sites, each of them paired with a streamgage, operated by the USGS or other agencies that provide continuous information on streamflow conditions. The waterquality data and the streamflow information from the NWQN-SW is then used to assess the status and trends of water-quality conditions and potential impacts on human and aquatic health.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip245","usgsCitation":"Riskin, Melissa, 2024, The U.S. Geological Survey National Water Quality Network—Surface Water—2023: U.S. Geological Survey General Information Product 245, https://doi.org/10.3133/gip245.","productDescription":"1 p.","ipdsId":"IP-167530","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":481905,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip247","text":"GIP 247","description":"GIP 247","linkHelpText":"— The U.S. Geological Survey National Water Quality Network—Groundwater—2023"},{"id":481904,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip244","text":"GIP 244","description":"GIP 244","linkHelpText":"— The U.S. Geological Survey National Atmospheric Deposition Program, National Trends Network—2022 (ver. 1.1)"},{"id":481903,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip243","text":"GIP 243","description":"GIP 243","linkHelpText":"— U.S. Geological Survey Groundwater Climate Response Network—2023"},{"id":481902,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip242","text":"GIP 242","description":"GIP 242","linkHelpText":"— The U.S. Geological Survey National Streamgage Network—2023"},{"id":464107,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/245/gip245.jpg"},{"id":464108,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/245/gip245.pdf","text":"Report","size":"864 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 245"},{"id":497911,"rank":7,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117795.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.67138671875,\n 54.686534234529695\n ],\n [\n -129.9462890625,\n 55.36662484928637\n ],\n [\n -130.1220703125,\n 56.145549500679074\n ],\n [\n -131.9677734375,\n 56.9449741808516\n ],\n [\n -135.3076171875,\n 59.833775202184206\n ],\n [\n -136.38427734375,\n 59.65664225341022\n ],\n [\n -136.6259765625,\n 59.23217626921806\n ],\n [\n -137.52685546875,\n 58.938673187948304\n ],\n [\n -137.65869140625,\n 59.33318942659219\n ],\n [\n -138.8232421875,\n 60.009970961180386\n ],\n [\n -139.21874999999997,\n 60.108670463036\n ],\n [\n -139.04296875,\n 60.403001945865476\n ],\n [\n -139.85595703125,\n 60.337823495982015\n ],\n [\n -140.99853515625,\n 60.337823495982015\n ],\n [\n -141.15234374999997,\n 69.71810669906763\n ],\n [\n -143.4375,\n 70.17020068549206\n ],\n [\n -145.1953125,\n 70.08056215839737\n ],\n [\n -149.765625,\n 70.58341752317065\n ],\n [\n -152.40234375,\n 70.61261423801925\n ],\n [\n -152.314453125,\n 70.95969716686398\n ],\n [\n -157.1484375,\n 71.35706654962706\n ],\n [\n -159.9609375,\n 70.8734913192635\n ],\n [\n -162.0703125,\n 70.31873847853124\n ],\n [\n -163.916015625,\n 69.06856318696033\n ],\n [\n -166.376953125,\n 68.942606818121\n ],\n [\n -166.376953125,\n 68.26938680456564\n ],\n [\n -163.30078125,\n 66.86108230224609\n ],\n [\n -161.982421875,\n 66.47820814385636\n ],\n [\n -163.564453125,\n 66.08936427047088\n ],\n [\n -163.564453125,\n 66.6181218846659\n ],\n [\n -165.76171875,\n 66.40795547978848\n ],\n [\n -168.0908203125,\n 65.69447579373418\n ],\n [\n -166.55273437499997,\n 65.14611484756372\n ],\n [\n -166.904296875,\n 65.05360170595502\n ],\n [\n -166.3330078125,\n 64.41592147626879\n ],\n [\n -162.861328125,\n 64.39693778132846\n ],\n [\n -160.927734375,\n 64.90491004905083\n ],\n [\n -161.0595703125,\n 64.47279382008166\n ],\n [\n -161.4990234375,\n 64.49172504435471\n ],\n [\n -160.8837890625,\n 63.87939001720202\n ],\n [\n -161.1474609375,\n 63.470144746565424\n ],\n [\n -162.6416015625,\n 63.64625919492172\n ],\n [\n -163.212890625,\n 63.05495931065107\n ],\n [\n -164.2236328125,\n 63.37183226679281\n ],\n [\n -166.1572265625,\n 61.75233128411639\n ],\n [\n -165.3662109375,\n 60.54377524118842\n ],\n [\n -167.431640625,\n 60.326947742998414\n ],\n [\n -167.255859375,\n 59.866883195210214\n ],\n [\n -165.8935546875,\n 59.7563950493563\n ],\n [\n -162.68554687499997,\n 59.734253447591364\n ],\n [\n -162.3779296875,\n 60.174306261926034\n ],\n [\n -161.806640625,\n 59.46740794183739\n ],\n [\n -162.0263671875,\n 59.108308258604964\n ],\n [\n -161.806640625,\n 58.768200159239576\n ],\n [\n -162.20214843749997,\n 58.65408464530598\n ],\n [\n -160.83984375,\n 58.44773280389084\n ],\n [\n -159.9609375,\n 58.6769376725869\n ],\n [\n -159.08203125,\n 58.309488840677645\n ],\n [\n -156.88476562499997,\n 58.92733441827545\n ],\n [\n -157.5,\n 58.516651799363785\n ],\n [\n -157.8076171875,\n 57.61010702068388\n ],\n [\n -161.54296875,\n 56.022948079627454\n ],\n [\n -168.6181640625,\n 53.4357192066942\n ],\n [\n -174.9462890625,\n 52.26815737376817\n ],\n [\n -178.2421875,\n 51.83577752045248\n ],\n [\n -173.1884765625,\n 51.590722643120145\n ],\n [\n -162.5537109375,\n 54.23955053156177\n ],\n [\n -155.302734375,\n 55.52863052257191\n ],\n [\n -151.4794921875,\n 57.51582286553883\n ],\n [\n -146.9970703125,\n 60.08676274626006\n ],\n [\n -145.546875,\n 60.21799073323445\n ],\n [\n -144.228515625,\n 59.689926220143356\n ],\n [\n -142.3828125,\n 59.93300042374631\n ],\n [\n -138.3837890625,\n 58.83649009392136\n ],\n [\n -135.6591796875,\n 56.31653672211301\n ],\n [\n -133.2421875,\n 54.521081495443596\n ],\n [\n -130.67138671875,\n 54.686534234529695\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.796875,\n 44.902577996288876\n ],\n [\n -67.67578124999999,\n 45.583289756006316\n ],\n [\n -67.939453125,\n 47.57652571374621\n ],\n [\n -69.2578125,\n 47.338822694822\n ],\n [\n -71.19140625,\n 45.27488643704891\n ],\n [\n -75.146484375,\n 44.96479793033101\n ],\n [\n -78.046875,\n 43.644025847699496\n ],\n [\n -79.1015625,\n 43.51668853502906\n ],\n [\n -79.1015625,\n 42.87596410238256\n ],\n [\n -82.68310546875,\n 41.65649719441145\n ],\n [\n -83.14453125,\n 42.049292638686836\n ],\n [\n -83.07861328125,\n 42.374778361114195\n ],\n [\n -82.529296875,\n 42.601619944327965\n ],\n [\n -82.24365234375,\n 43.6599240747891\n ],\n [\n -82.41943359375,\n 45.058001435398275\n ],\n [\n -83.60595703125,\n 45.85941212790755\n ],\n [\n -83.49609375,\n 46.027481852486645\n ],\n [\n -83.7158203125,\n 46.164614496897094\n ],\n [\n -83.95751953125,\n 46.07323062540835\n ],\n [\n -84.24316406249999,\n 46.558860303117164\n ],\n [\n -84.72656249999999,\n 46.558860303117164\n ],\n [\n -84.90234375,\n 46.92025531537451\n ],\n [\n -88.41796875,\n 48.3416461723746\n ],\n [\n -89.3408203125,\n 47.96050238891509\n ],\n [\n -90.76904296874999,\n 48.122101028190805\n ],\n [\n -90.87890625,\n 48.22467264956519\n ],\n [\n -91.51611328125,\n 48.10743118848039\n ],\n [\n -92.2412109375,\n 48.37084770238366\n ],\n [\n -92.39501953125,\n 48.23930899024907\n ],\n [\n -92.94433593749999,\n 48.61838518688487\n ],\n [\n -93.44970703125,\n 48.63290858589535\n ],\n [\n -94.7021484375,\n 48.748945343432936\n ],\n [\n -94.833984375,\n 49.23912083246698\n ],\n [\n -95.1416015625,\n 49.396675075193976\n ],\n [\n -95.20751953125,\n 49.009050809382046\n ],\n [\n -123.22265625000001,\n 48.99463598353405\n ],\n [\n -123.0908203125,\n 48.80686346108517\n ],\n [\n -123.24462890625,\n 48.66194284607006\n ],\n [\n -123.1787109375,\n 48.32703913063476\n ],\n [\n -124.78271484375,\n 48.472921272487824\n ],\n [\n -124.93652343749999,\n 48.16608541901253\n ],\n [\n -124.365234375,\n 46.58906908309182\n ],\n [\n -124.541015625,\n 44.15068115978094\n ],\n [\n -124.93652343749999,\n 42.69858589169842\n ],\n [\n -124.541015625,\n 41.22824901518529\n ],\n [\n -124.73876953125,\n 40.43022363450862\n ],\n [\n -124.03564453125,\n 39.35129035526705\n ],\n [\n -124.01367187499999,\n 38.8225909761771\n ],\n [\n -122.05810546875,\n 36.12012758978146\n ],\n [\n -120.95947265624999,\n 34.88593094075317\n ],\n [\n -120.80566406250001,\n 34.08906131584994\n ],\n [\n -118.21289062499999,\n 32.2313896627376\n ],\n [\n -117.22412109375,\n 32.54681317351514\n ],\n [\n -114.78515624999999,\n 32.713355353177555\n ],\n [\n -114.78515624999999,\n 32.491230287947594\n ],\n [\n -110.98388671874999,\n 31.3348710339506\n ],\n [\n -108.21533203125,\n 31.297327991404266\n ],\n [\n -108.2373046875,\n 31.765537409484374\n ],\n [\n -106.435546875,\n 31.765537409484374\n ],\n [\n -104.9853515625,\n 30.600093873550072\n ],\n [\n -104.47998046875,\n 29.592565403314087\n ],\n [\n -103.20556640625,\n 28.94086176940557\n ],\n [\n -102.65625,\n 29.76437737516313\n ],\n [\n -102.3486328125,\n 29.84064389983441\n ],\n [\n -101.49169921875,\n 29.7453016622136\n ],\n [\n -100.83251953125,\n 29.267232865200878\n ],\n [\n -100.30517578125,\n 28.246327971048842\n ],\n [\n -99.60205078124999,\n 27.586197857692664\n ],\n [\n -99.47021484375,\n 27.31321389856826\n ],\n [\n -99.228515625,\n 26.52956523826758\n ],\n [\n -98.2177734375,\n 26.05678288577881\n ],\n [\n -97.75634765625,\n 26.03704188651584\n ],\n [\n -97.44873046875,\n 25.839449402063185\n ],\n [\n -97.20703125,\n 25.93828707492375\n ],\n [\n -96.8994140625,\n 26.194876675795218\n ],\n [\n -96.78955078125,\n 27.858503954841247\n ],\n [\n -93.75732421875,\n 29.420460341013133\n ],\n [\n -90.2197265625,\n 28.998531814051795\n ],\n [\n -88.22021484375,\n 29.05616970274342\n ],\n [\n -87.91259765625,\n 30.14512718337613\n ],\n [\n -86.5283203125,\n 30.183121842195515\n ],\n [\n -85.2978515625,\n 29.49698759653577\n ],\n [\n -84.13330078125,\n 29.80251790576445\n ],\n [\n -82.81494140625,\n 28.555576049185973\n ],\n [\n -83.21044921875,\n 27.800209937418252\n ],\n [\n -82.77099609375,\n 26.941659545381516\n ],\n [\n -82.08984375,\n 25.878994400196202\n ],\n [\n -81.5625,\n 25.264568475331583\n ],\n [\n -82.28759765625,\n 24.467150664739002\n ],\n [\n -82.0458984375,\n 24.046463999666567\n ],\n [\n -80.6396484375,\n 24.56710835257599\n ],\n [\n -79.78271484375,\n 25.34402602913433\n ],\n [\n -79.60693359375,\n 27.27416111737468\n ],\n [\n -80.68359375,\n 30.713503990354965\n ],\n [\n -80.66162109375,\n 31.50362930577303\n ],\n [\n -76.81640625,\n 34.07086232376631\n ],\n [\n -75.16845703124999,\n 35.263561862152095\n ],\n [\n -75.498046875,\n 37.055177106660814\n ],\n [\n -73.58642578125,\n 39.90973623453719\n ],\n [\n -71.3671875,\n 40.84706035607122\n ],\n [\n -69.63134765625,\n 40.9964840143779\n ],\n [\n -70.0048828125,\n 42.342305278572816\n ],\n [\n -70.3564453125,\n 42.89206418807337\n ],\n [\n -67.2802734375,\n 44.37098696297173\n ],\n [\n -67.0166015625,\n 44.69989765840318\n ],\n [\n -66.796875,\n 44.902577996288876\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.56640625,\n 18.771115062337024\n ],\n [\n -154.68749999999997,\n 19.642587534013032\n ],\n [\n -156.9287109375,\n 21.453068633086783\n ],\n [\n -159.521484375,\n 22.43134015636061\n ],\n [\n -160.5322265625,\n 21.983801417384697\n ],\n [\n -159.9609375,\n 21.207458730482642\n ],\n [\n -158.291015625,\n 20.92039691397189\n ],\n [\n -156.97265625,\n 19.932041306115536\n ],\n [\n -155.9619140625,\n 18.8543103618898\n ],\n [\n -155.56640625,\n 18.771115062337024\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"National Water Quality Network Surface Water Coordinator
Observing Systems Division
Water Mission Area
U.S. Geological Survey
3450 Princeton Pike, Suite 110
Lawrenceville, NJ 08648
Contact Publications Warehouse
As of October 2023, the U.S. Geological Survey (USGS) operated more than 660 sites across the United States and its territories as part of the Groundwater Climate Response Network (CRN). The CRN is comprised of wells and springs selected to monitor the effects of climate variability, such as droughts, on groundwater levels and spring discharge nationwide. The CRN includes more than 550 locations with realtime data and more than 100 sites with non-real-time data available to the public on the CRN web mapper and the USGS National Water Dashboard.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip243","usgsCitation":"Fine, J., 2024, U.S. Geological Survey Groundwater Climate Response Network—2023: U.S. Geological Survey General Information Product 243, https://doi.org/10.3133/gip243.","productDescription":"1 p.","ipdsId":"IP-167529","costCenters":[{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true}],"links":[{"id":481896,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip245","text":"GIP 245","description":"GIP 245","linkHelpText":"— The U.S. Geological Survey National Water Quality Network—Surface Water—2023"},{"id":481895,"rank":4,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip244","text":"GIP 244","description":"GIP 244","linkHelpText":"— The U.S. Geological Survey National Atmospheric Deposition Program, National Trends Network—2022 (ver. 1.1)"},{"id":481897,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip247","text":"GIP 247","description":"GIP 247","linkHelpText":"— The U.S. Geological Survey National Water Quality Network—Groundwater—2023"},{"id":481894,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/gip242","text":"GIP 242","description":"GIP 242","linkHelpText":"— The U.S. Geological Survey National Streamgage Network—2023"},{"id":464075,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/243/gip243.pdf","text":"Report","size":"297 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 2043"},{"id":464074,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/243/gip243.jpg"}],"contact":"National Groundwater Networks Coordinator
Observing Systems Division
Water Mission Area
U.S. Geological Survey
2730 Deer Run Rd.
Carson City, NV 89701
Contact Publications Warehouse
Invasive species have substantial ecological and economic costs and removing them can require large investments by management agencies. Optimal spatial allocation of removal effort is critical for efficient and effective management of invasive species. Using a series of ecologically informed model simulations, we evaluated and compared different spatially explicit removal strategies for invasive rusty crayfish (Faxonius rusticus) in the John Day River, USA. We assessed strategies in terms of their performance on three likely management objectives: suppression (minimise overall population abundance), containment (minimise the spatial extent of invasion) and prevention (minimise spread into a specific area). We developed five spatial removal strategies to achieve those objectives, denoted as: Target Abundance (removal at locations with the highest population abundance), Target Growth (removal at locations with the highest population growth), Target Edges (removal at the most distant locations in the river), Target Downstream (removal at the most downstream invaded segments on the Mainstem), and Target Random (removal at randomly selected locations). Each strategy was assessed at various effort levels, referring to the number of spatial segments in the river in which removals were conducted, after seven years of management. We identified the alternative that best achieved each objective, based on decision criteria for risk-neutral and risk-averse decision-makers and further evaluated strategies based on Pareto efficiency, which identifies the set of alternatives for which an improvement on one objective cannot be had without a decline in performance on another. We found that Target Abundance and Target Growth strategies best achieved the suppression objective, for risk neutral and risk averse decision-makers, respectively and Target Downstream was always best in achieving the prevention objective across both types of decision-makers. No single strategy consistently performed best in terms of the containment objective. In terms of all three objectives, Target Downstream was consistently Pareto efficient across all levels of management effort and both decision criteria. The modelling framework we provided is adaptable to a variety of riverine invasive species to help assess and compare spatial management strategies.
","language":"English","publisher":"Pensoft","doi":"10.3897/neobiota.96.132363","usgsCitation":"Thompson, B., Olden, J., and Converse, S.J., 2024, Evaluating spatially explicit management alternatives for an invasive species in a riverine network: NeoBiota, v. 96, p. 151-172, https://doi.org/10.3897/neobiota.96.132363.","productDescription":"22 p.","startPage":"151","endPage":"172","ipdsId":"IP-171897","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":490646,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3897/neobiota.96.132363","text":"Publisher Index Page"},{"id":489267,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"John Day River basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -120.88075847388461,\n 45.69676723476786\n ],\n [\n -120.88724466132285,\n 44.11199343230538\n ],\n [\n -118.7532889941624,\n 44.11661864634385\n ],\n [\n -118.77274755647663,\n 45.69676723476786\n ],\n [\n -120.88075847388461,\n 45.69676723476786\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"96","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Thompson, Brielle K.","contributorId":355570,"corporation":false,"usgs":false,"family":"Thompson","given":"Brielle K.","affiliations":[{"id":6934,"text":"University of Washington","active":true,"usgs":false}],"preferred":false,"id":938754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Olden, Julian D.","contributorId":338326,"corporation":false,"usgs":false,"family":"Olden","given":"Julian D.","affiliations":[],"preferred":false,"id":938755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":938756,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70262249,"text":"70262249 - 2024 - A synthesis of the characteristics and drivers of introduced fishes in prairie streams: Can we manage introduced harmful fishes in these dynamic environments?","interactions":[],"lastModifiedDate":"2025-01-17T16:45:52.438011","indexId":"70262249","displayToPublicDate":"2024-11-14T09:36:50","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"A synthesis of the characteristics and drivers of introduced fishes in prairie streams: Can we manage introduced harmful fishes in these dynamic environments?","docAbstract":"Prairie streams of North America support native fishes that are adapted to the dynamic environment that characterizes these ecologically and economically important ecosystems. However, prairie streams have been altered by landscape changes that may affect the proportions of native and introduced species in fish communities. Herein, we investigate drivers of introduced fish in prairie streams, detail common introduced species and their traits and effects, investigate how climate change may alter the balance between native and introduced species, and summarize management options. Commonly introduced fishes are those with the ability to tolerate extreme variations in temperature, hydrology, and salinity and, as a result, most of the introduced fishes were native to other prairie streams within the Great Plains ecoregion. This suggests environmental extremes may act as a filter for establishment or that short-distance translocations are more common than introductions from other ecoregions. The mechanisms or extent to which introduced species affect native fishes is often assumed or understudied. Climate change may amplify environmental disturbances in ways that may favor native or introduced fishes depending on species traits and biotic interactions. Actions such as habitat modifications or disturbances may favor introduced fishes over native fishes. Research to understand the relative roles of trait preadaptation and spatial proximity of source populations in introduced species establishment could benefit future management. Moreover, patterns observed in other ecosystems may not be transferrable to prairie streams, highlighting the need to understand the context dependency of effects of introduced species.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10530-024-03450-y","usgsCitation":"Coulter, A., Moore, M.J., Golcher-Benavides, J., Rahel, F.J., Walters, A.W., Brewer, S., and Wildhaber, M.L., 2024, A synthesis of the characteristics and drivers of introduced fishes in prairie streams: Can we manage introduced harmful fishes in these dynamic environments?: Biological Invasions, v. 26, p. 4011-4033, https://doi.org/10.1007/s10530-024-03450-y.","productDescription":"23 p.","startPage":"4011","endPage":"4033","ipdsId":"IP-160187","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":481049,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10530-024-03450-y","text":"Publisher Index Page"},{"id":480749,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"North American Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.30865918818435,\n 51.00019043175968\n ],\n [\n -108.8244372572745,\n 47.17125929409586\n ],\n [\n -106.13072410712726,\n 42.33953855703288\n ],\n [\n -104.22086600055933,\n 40.10613156257109\n ],\n [\n -104.39837770581909,\n 36.40878493463546\n ],\n [\n -104.26570852411,\n 33.836825487233355\n ],\n [\n -102.59989428051855,\n 31.991484684655916\n ],\n [\n -98.85669537584786,\n 31.98987602981056\n ],\n [\n -94.06006847133565,\n 38.705570253107695\n ],\n [\n -94.4212804260574,\n 43.37128007692609\n ],\n [\n -96.14739688752542,\n 48.2616932328075\n ],\n [\n -96.41979434976253,\n 50.75373398643449\n ],\n [\n -96.92898991711421,\n 51.5227386971378\n ],\n [\n -99.57727818526257,\n 52.66077258131\n ],\n [\n -107.3372532002433,\n 51.958499229615185\n ],\n [\n -111.30865918818435,\n 51.00019043175968\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"26","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Coulter, A. A.","contributorId":348595,"corporation":false,"usgs":false,"family":"Coulter","given":"A. A.","affiliations":[{"id":5089,"text":"South Dakota State University","active":true,"usgs":false}],"preferred":false,"id":923644,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moore, Michael J. 0000-0002-5495-7049","orcid":"https://orcid.org/0000-0002-5495-7049","contributorId":304258,"corporation":false,"usgs":true,"family":"Moore","given":"Michael","email":"","middleInitial":"J.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":923645,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Golcher-Benavides, Jimena","contributorId":348598,"corporation":false,"usgs":false,"family":"Golcher-Benavides","given":"Jimena","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":923646,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rahel, Frank J.","contributorId":171824,"corporation":false,"usgs":false,"family":"Rahel","given":"Frank","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":923647,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Walters, Annika W. 0000-0002-8638-6682 awalters@usgs.gov","orcid":"https://orcid.org/0000-0002-8638-6682","contributorId":4190,"corporation":false,"usgs":true,"family":"Walters","given":"Annika","email":"awalters@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":923648,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brewer, Shannon K. 0000-0002-1537-3921","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":340552,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":923649,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Wildhaber, Mark L. 0000-0002-6538-9083 mwildhaber@usgs.gov","orcid":"https://orcid.org/0000-0002-6538-9083","contributorId":1386,"corporation":false,"usgs":true,"family":"Wildhaber","given":"Mark","email":"mwildhaber@usgs.gov","middleInitial":"L.","affiliations":[{"id":192,"text":"Columbia Environmental Research Center","active":true,"usgs":true}],"preferred":true,"id":923650,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261775,"text":"70261775 - 2024 - Simple stated preference questions can enhance transdisciplinary projects: Linking perceived risks with willingness to spray and pay","interactions":[],"lastModifiedDate":"2024-12-23T16:37:01.405686","indexId":"70261775","displayToPublicDate":"2024-11-14T09:26:40","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5848,"text":"Environmental and Resource Economics","onlineIssn":"1573-1502","printIssn":"0924-6460","active":true,"publicationSubtype":{"id":10}},"title":"Simple stated preference questions can enhance transdisciplinary projects: Linking perceived risks with willingness to spray and pay","docAbstract":"Transdisciplinary projects can uncover crucial insights on people’s past and future risk-mitigation behavior. We focus on a novel risk context: increasing health threats from ticks on Staten Island, a New York City borough where the combination of high population density and extensive park systems and green spaces has resulted in a rise in locally-acquired tick-transmitted disease cases. We administered a knowledge, attitudes, and practices survey that additionally included simple economic stated preference questions about people’s willingness to spray tick pesticides in the future. We first analyze factors that are correlated with people’s perceptions of two types of risks: exposure to ticks and infection with Lyme disease. Next, we use the nonmarket valuation questions to test people’s willingness to spray and pay as a function of attributes of the hypothetical pesticides, including cost, effectiveness, and type. Across all model specifications, overall willingness to pay (WTP) to spray increases with increases in pesticide effectiveness, as well as with favorable pesticide type (organic). We uncover threshold pesticide effectiveness levels at which WTP to spray turns positive, and we find that lower pesticide effectiveness is required for organic pesticide. Finally, we test how perceived risks and various individual-specific characteristics correlate with WTP to spray. Combinations of higher perceived risks are linked both with higher WTP and lower breakeven pesticide effectiveness. Our work shows that a broad range of variables influence demand for self-protection actions, both directly and indirectly (through their effects on perceived risks). Such insights on people’s tradeoffs carry important policy implications, but they can be missed if economic information is either not elicited or elicited alone.","language":"English","publisher":"Springer Nature","doi":"10.1007/s10640-024-00923-5","usgsCitation":"Enriquez, A.J., Berry, K., Fernandez, M., Gregory, N., Ernst, K.C., Hayden, M.H., and Diuk-Wasser, M.A., 2024, Simple stated preference questions can enhance transdisciplinary projects: Linking perceived risks with willingness to spray and pay: Environmental and Resource Economics, v. 88, p. 81-124, https://doi.org/10.1007/s10640-024-00923-5.","productDescription":"44 p.","startPage":"81","endPage":"124","ipdsId":"IP-155058","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466766,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s10640-024-00923-5","text":"Publisher Index Page"},{"id":465439,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Staten Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.20533995856798,\n 40.64942836406519\n ],\n [\n -74.21801184111787,\n 40.577295563468994\n ],\n [\n -74.24899218747878,\n 40.548387271105895\n ],\n [\n -74.26692137394798,\n 40.507364607877975\n ],\n [\n -74.2473514200188,\n 40.4985817976507\n ],\n [\n -74.14951843995719,\n 40.519525822175325\n ],\n [\n -74.07777920044828,\n 40.56028515839262\n ],\n [\n -74.05165602307073,\n 40.600174493513464\n ],\n [\n -74.06691131937252,\n 40.64774134809241\n ],\n [\n -74.20533995856798,\n 40.64942836406519\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"88","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Enriquez, Aaron Joey 0000-0002-0305-4333","orcid":"https://orcid.org/0000-0002-0305-4333","contributorId":346485,"corporation":false,"usgs":true,"family":"Enriquez","given":"Aaron","email":"","middleInitial":"Joey","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":921764,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Berry, Kevin","contributorId":346487,"corporation":false,"usgs":false,"family":"Berry","given":"Kevin","email":"","affiliations":[{"id":82879,"text":"Department of Economics, University of Alaska Anchorage","active":true,"usgs":false}],"preferred":false,"id":921765,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fernandez, Maria del Pilar","contributorId":347473,"corporation":false,"usgs":false,"family":"Fernandez","given":"Maria del Pilar","affiliations":[{"id":83167,"text":"Paul G. Allen School for Global Health, College of Veterinary Medicine, Washington State University and Department of Ecology, Evolution and Environmental Biology, Columbia University","active":true,"usgs":false}],"preferred":false,"id":921766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gregory, Nichar","contributorId":347474,"corporation":false,"usgs":false,"family":"Gregory","given":"Nichar","email":"","affiliations":[{"id":83169,"text":"Department of Ecology, Evolution and Environmental Biology, Columbia University and EcoHealth Alliance","active":true,"usgs":false}],"preferred":false,"id":921767,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ernst, Kacey C.","contributorId":346484,"corporation":false,"usgs":false,"family":"Ernst","given":"Kacey","email":"","middleInitial":"C.","affiliations":[{"id":82875,"text":"Department of Epidemiology and Biostatistics, College of Public Health, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":921768,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hayden, Mary H.","contributorId":148034,"corporation":false,"usgs":false,"family":"Hayden","given":"Mary","email":"","middleInitial":"H.","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":921769,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Diuk-Wasser, Maria A.","contributorId":148025,"corporation":false,"usgs":false,"family":"Diuk-Wasser","given":"Maria","email":"","middleInitial":"A.","affiliations":[{"id":7254,"text":"Columbia University - Lamont Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":921770,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261107,"text":"70261107 - 2024 - Urban tick exposure on Staten Island is higher in pet owners","interactions":[],"lastModifiedDate":"2024-11-22T15:14:45.336724","indexId":"70261107","displayToPublicDate":"2024-11-14T09:10:29","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Urban tick exposure on Staten Island is higher in pet owners","docAbstract":"Over the past decade, Lyme and other tick-borne diseases have expanded into urban areas, including Staten Island, New York. While Lyme disease is often researched with a focus on human risk, domestic pets are also at risk of contracting the disease. The present study aims to describe differences in tick exposure, knowledge, attitude, and practices (KAP) between pet owners and non-owners, and to understand preventive strategies practiced by pet owners for themselves and their pets. We conducted KAP surveys via phone in 2020 and via face-to-face interviews in 2021, and we analyzed unique responses from 364 households on Staten Island. Pet owners were more likely to have ever found a tick on themselves or their household members (63%) than non-owners (46%) (p<0.001). Among pet owners, those who owned dogs (dog-only or both dog and cat owners) were more likely to have ever found a tick on their pets than cat-only owners (p<0.001). Compared with non-pet owners, pet owners were more likely both to know that ticks transmit Lyme disease (p<0.001) and to avoid gardening to reduce their tick exposure (p = 0.032), but they were less likely to wear protective clothing or adjust clothing (p = 0.013). Compared with cat owners who had never found a tick on their cats, cat owners who had ever found a tick on their cats were more likely to let their cats go outside (p<0.001). However, reported preventive measures on cats did not differ between pet owners who did and did not report tick exposure. The results indicate that encouraging pet owners to engage in preventative measures, both to protect themselves and their pets, is a potential avenue for healthcare providers and veterinarians to reduce risks from ticks.
","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0311891","usgsCitation":"Tamari, N., Ernst, K.C., Enriquez, A.J., Diuk-Wasser, M.A., Fernandez, M.P., Berry, K., and Hayden, M.H., 2024, Urban tick exposure on Staten Island is higher in pet owners: PLoS ONE, v. 19, no. 11, e0311891, 14 p., https://doi.org/10.1371/journal.pone.0311891.","productDescription":"e0311891, 14 p.","ipdsId":"IP-163077","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":466767,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://dx.doi.org/10.1371/journal.pone.0311891","text":"Publisher Index Page"},{"id":464429,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Staten Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -74.07806024534273,\n 40.64945423864248\n ],\n [\n -74.13377232924223,\n 40.6425045489959\n ],\n [\n -74.1849038769845,\n 40.64656237310163\n ],\n [\n -74.20398425828141,\n 40.62918760362609\n ],\n [\n -74.19940496676998,\n 40.60891132423919\n ],\n [\n -74.20016818202188,\n 40.5932654181652\n ],\n [\n -74.20550922902615,\n 40.57645749914269\n ],\n [\n -74.21618774927414,\n 40.557911618466875\n ],\n [\n -74.24518909175889,\n 40.5445725375144\n ],\n [\n -74.24289783433477,\n 40.52195507745475\n ],\n [\n -74.25663349242834,\n 40.505711152581995\n ],\n [\n -74.24061360153277,\n 40.49293698728343\n ],\n [\n -74.12842594834439,\n 40.52658443697581\n ],\n [\n -74.04676191639285,\n 40.60369642911499\n ],\n [\n -74.07806024534273,\n 40.64945423864248\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"19","issue":"11","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Tamari, Noriko","contributorId":346483,"corporation":false,"usgs":false,"family":"Tamari","given":"Noriko","email":"","affiliations":[{"id":82875,"text":"Department of Epidemiology and Biostatistics, College of Public Health, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":919290,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ernst, Kacey C.","contributorId":346484,"corporation":false,"usgs":false,"family":"Ernst","given":"Kacey","email":"","middleInitial":"C.","affiliations":[{"id":82875,"text":"Department of Epidemiology and Biostatistics, College of Public Health, University of Arizona","active":true,"usgs":false}],"preferred":false,"id":919291,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Enriquez, Aaron Joey 0000-0002-0305-4333","orcid":"https://orcid.org/0000-0002-0305-4333","contributorId":346485,"corporation":false,"usgs":true,"family":"Enriquez","given":"Aaron","email":"","middleInitial":"Joey","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":919292,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diuk-Wasser, Maria A.","contributorId":148025,"corporation":false,"usgs":false,"family":"Diuk-Wasser","given":"Maria","email":"","middleInitial":"A.","affiliations":[{"id":7254,"text":"Columbia University - Lamont Doherty Earth Observatory","active":true,"usgs":false}],"preferred":false,"id":919293,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fernandez, Maria P.","contributorId":346486,"corporation":false,"usgs":false,"family":"Fernandez","given":"Maria","email":"","middleInitial":"P.","affiliations":[{"id":82878,"text":"Paul G. Allen School for Global Health, Washington State University","active":true,"usgs":false}],"preferred":false,"id":919294,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Berry, Kevin","contributorId":346487,"corporation":false,"usgs":false,"family":"Berry","given":"Kevin","email":"","affiliations":[{"id":82879,"text":"Department of Economics, University of Alaska Anchorage","active":true,"usgs":false}],"preferred":false,"id":919295,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hayden, Mary H.","contributorId":148034,"corporation":false,"usgs":false,"family":"Hayden","given":"Mary","email":"","middleInitial":"H.","affiliations":[{"id":6648,"text":"National Center for Atmospheric Research","active":true,"usgs":false}],"preferred":false,"id":919296,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70261106,"text":"70261106 - 2024 - Field trials of an autonomous eDNA sampler in lotic waters","interactions":[],"lastModifiedDate":"2024-12-10T15:39:34.900781","indexId":"70261106","displayToPublicDate":"2024-11-14T08:03:25","publicationYear":"2024","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Field trials of an autonomous eDNA sampler in lotic waters","docAbstract":"Environmental DNA (eDNA) analysis has become a transformative technology, but sample collection methods lack standardization and sampling at effective frequencies requires considerable field effort. Autonomous eDNA samplers that can sample water at high frequencies offer potential solutions to these problems. We present results from four case studies using a prototype autonomous eDNA sampler as part of the U.S. Geological Survey’s Rapid Environmental eDNA Assessment and Deployment Initiative & Network (READI-Net) project. These case studies involved short-term deployments of an eDNA autosampler (Smith-Root) across a range of riverine habitats with the objectives of (a) identifying what insights could be gained from high-frequency autosampling and (b) benchmarking these autosamples against manually collected samples. The high frequency autosampling revealed high temporal variability of eDNA concentrations and provided valuable insights about eDNA associations with environmental covariates, such as discharge and turbidity. Benchmarking assessments indicated autosamples had similar detection rates to manual samples and obtained similar or greater eDNA quantities. We did find minimal carryover contamination in autosampler field controls. We conclude that eDNA autosamplers have potential to improve freshwater biosurveillance by reducing logistical sampling barriers, standardizing collection methods, and clarifying the influence of environmental covariates on eDNA results.","language":"English","publisher":"American Chemical Society","doi":"10.1021/acs.est.4c04970","usgsCitation":"George, S.D., Sepulveda, A., Hutchins, P., Pilliod, D., Klymus, K.E., Thomas, A., Augustine, B., Huddleston Adrianza, C.C., Jones-Slobodian, D.N., Williams, J.R., and Leinonen, E., 2024, Field trials of an autonomous eDNA sampler in lotic waters: Environmental Science & Technology, v. 58, no. 47, p. 20942-20953, https://doi.org/10.1021/acs.est.4c04970.","productDescription":"12 p.","startPage":"20942","endPage":"20953","ipdsId":"IP-164661","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":466768,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1021/acs.est.4c04970","text":"Publisher Index Page"},{"id":464428,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Idaho, Missouri, Montana, New York","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-111.044156,43.020052],[-111.046689,42.001567],[-112.709375,42.000309],[-113.893261,41.988057],[-114.831077,42.002207],[-115.031783,41.996008],[-117.026222,42.000252],[-117.02678,43.829841],[-117.013954,43.859358],[-116.98294,43.86771],[-116.96247,43.928336],[-116.971835,43.962806],[-116.942944,43.987512],[-116.934485,44.021249],[-116.943361,44.035645],[-116.972504,44.048771],[-116.977351,44.085364],[-116.937835,44.096943],[-116.894309,44.158114],[-116.900103,44.176851],[-116.925392,44.191544],[-116.971675,44.197256],[-116.975905,44.242844],[-117.031862,44.248635],[-117.050057,44.22883],[-117.089503,44.258234],[-117.104208,44.27994],[-117.118018,44.278945],[-117.138523,44.25937],[-117.15706,44.25749],[-117.198147,44.273828],[-117.222647,44.297578],[-117.189842,44.335007],[-117.235117,44.373853],[-117.242675,44.396548],[-117.22698,44.405583],[-117.215072,44.427162],[-117.224104,44.483734],[-117.200237,44.492027],[-117.185386,44.519261],[-117.152406,44.531802],[-117.144161,44.545647],[-117.146032,44.568603],[-117.126009,44.581553],[-117.120522,44.614658],[-117.098221,44.640689],[-117.095868,44.664737],[-117.07912,44.692175],[-117.063824,44.703623],[-117.062273,44.727143],[-117.03827,44.748179],[-116.9368,44.782881],[-116.931099,44.804781],[-116.896249,44.84833],[-116.852427,44.887577],[-116.833632,44.928976],[-116.858313,44.978761],[-116.846103,44.999878],[-116.848037,45.021728],[-116.797329,45.060267],[-116.774847,45.105536],[-116.754643,45.113972],[-116.731216,45.139934],[-116.703607,45.239757],[-116.672733,45.283183],[-116.673793,45.321511],[-116.619057,45.39821],[-116.597447,45.41277],[-116.588195,45.44292],[-116.554829,45.46293],[-116.558803,45.480076],[-116.548676,45.510385],[-116.523638,45.54661],[-116.48297,45.577008],[-116.463635,45.602785],[-116.463504,45.615785],[-116.487894,45.649769],[-116.535396,45.691734],[-116.535698,45.734231],[-116.546643,45.750972],[-116.593004,45.778541],[-116.665344,45.781998],[-116.70845,45.825117],[-116.736268,45.826179],[-116.759787,45.816167],[-116.782676,45.825376],[-116.790151,45.849851],[-116.814142,45.877551],[-116.857254,45.904159],[-116.892935,45.974396],[-116.915989,45.995413],[-116.942656,46.061],[-116.981962,46.084915],[-116.978823,46.095731],[-116.959548,46.099058],[-116.92187,46.167808],[-116.962966,46.19968],[-116.958801,46.24232],[-116.991422,46.278467],[-116.986688,46.296662],[-117.020663,46.314793],[-117.027744,46.338751],[-117.060703,46.349015],[-117.062785,46.365287],[-117.046915,46.379577],[-117.034696,46.418318],[-117.042657,47.760857],[-117.032351,48.999188],[-104.048736,48.999877],[-104.040128,44.999987],[-105.913382,45.000941],[-105.928184,44.993647],[-106.263586,44.993788],[-109.08301,44.99961],[-109.103445,45.005904],[-110.110103,45.003905],[-110.199503,44.996188],[-110.362698,45.000593],[-110.402927,44.99381],[-110.705272,44.992324],[-110.785008,45.002952],[-111.055199,45.001321],[-111.044156,43.020052]]],[[[-89.545006,36.336809],[-89.600544,36.342985],[-89.615841,36.336085],[-89.620255,36.323006],[-89.578492,36.288317],[-89.539487,36.277368],[-89.539229,36.248821],[-89.562206,36.250909],[-89.602374,36.238106],[-89.652518,36.250692],[-89.691308,36.252079],[-89.703511,36.243412],[-89.69263,36.224959],[-89.607004,36.171179],[-89.591605,36.144096],[-89.598946,36.121778],[-89.678821,36.084636],[-89.687254,36.034048],[-89.706932,36.000981],[-90.37789,35.995683],[-90.351732,36.025347],[-90.333261,36.067504],[-90.320746,36.071326],[-90.320662,36.087138],[-90.29991,36.098236],[-90.294492,36.112949],[-90.235585,36.139474],[-90.23537,36.159153],[-90.220425,36.184764],[-90.126366,36.229367],[-90.130114,36.240307],[-90.114922,36.265595],[-90.083731,36.272332],[-90.06398,36.303038],[-90.081961,36.322097],[-90.064514,36.382085],[-90.078671,36.399116],[-90.135002,36.413721],[-90.134231,36.422827],[-90.143743,36.424433],[-90.134136,36.436602],[-90.137323,36.455411],[-90.155804,36.463555],[-90.143683,36.476029],[-90.158838,36.479558],[-90.154409,36.496832],[-94.617919,36.499414],[-94.607354,39.113444],[-94.592533,39.135903],[-94.591933,39.155003],[-94.662435,39.157603],[-94.663835,39.179103],[-94.680336,39.184303],[-94.714137,39.170403],[-94.752338,39.173203],[-94.781518,39.206146],[-94.831679,39.215938],[-94.825663,39.241729],[-94.831471,39.256273],[-94.887056,39.28648],[-94.905329,39.311952],[-94.909409,39.354255],[-94.879088,39.375703],[-94.885026,39.389801],[-94.939697,39.38795],[-94.951209,39.411707],[-94.972952,39.421705],[-94.990172,39.446192],[-95.04078,39.466387],[-95.052177,39.499996],[-95.092704,39.524241],[-95.113557,39.553941],[-95.103228,39.577783],[-95.054804,39.582488],[-95.046445,39.601606],[-95.055152,39.621657],[-95.049518,39.637876],[-95.018318,39.672869],[-94.971317,39.68641],[-94.971206,39.729305],[-94.960086,39.743065],[-94.944741,39.744377],[-94.902612,39.724202],[-94.870143,39.734594],[-94.860371,39.74953],[-94.865243,39.770094],[-94.912293,39.759338],[-94.934262,39.773642],[-94.935206,39.78313],[-94.884084,39.794234],[-94.876344,39.806894],[-94.878677,39.826522],[-94.937655,39.849786],[-94.940743,39.86441],[-94.927897,39.886112],[-94.95154,39.900533],[-95.013152,39.899953],[-95.037767,39.865542],[-95.081534,39.861718],[-95.128166,39.874165],[-95.140601,39.881688],[-95.149657,39.905948],[-95.199347,39.902709],[-95.205733,39.908275],[-95.204428,39.938949],[-95.250254,39.948644],[-95.269886,39.969396],[-95.302507,39.984357],[-95.315271,40.01207],[-95.356876,40.031522],[-95.391527,40.027058],[-95.413588,40.038424],[-95.42164,40.058952],[-95.39284,40.115887],[-95.404395,40.129018],[-95.42478,40.132765],[-95.436348,40.15872],[-95.48102,40.188524],[-95.470061,40.221507],[-95.477501,40.24272],[-95.552473,40.261904],[-95.55162,40.288666],[-95.558732,40.295774],[-95.610439,40.31397],[-95.642262,40.306025],[-95.657328,40.310856],[-95.656612,40.319465],[-95.625204,40.334288],[-95.623728,40.346567],[-95.659134,40.40869],[-95.65819,40.44188],[-95.693133,40.469396],[-95.699969,40.505275],[-95.661687,40.517309],[-95.655848,40.546609],[-95.678718,40.56256],[-95.694147,40.556942],[-95.69721,40.528477],[-95.708591,40.521551],[-95.75711,40.52599],[-95.768693,40.534106],[-95.763833,40.553873],[-95.774704,40.573574],[-95.768527,40.583296],[-94.080463,40.572899],[-92.689854,40.589884],[-91.729115,40.61364],[-91.685381,40.578892],[-91.6887,40.55739],[-91.620071,40.540817],[-91.621353,40.510072],[-91.594644,40.494997],[-91.574746,40.465664],[-91.523072,40.452254],[-91.532807,40.436784],[-91.519134,40.432822],[-91.526555,40.419872],[-91.522333,40.409648],[-91.489816,40.404317],[-91.484507,40.3839],[-91.465116,40.385257],[-91.465891,40.378365],[-91.452458,40.375501],[-91.441243,40.386255],[-91.419422,40.378264],[-91.46214,40.342414],[-91.492727,40.278217],[-91.512974,40.181062],[-91.510322,40.127994],[-91.489606,40.057435],[-91.494878,40.036453],[-91.463683,39.981845],[-91.41936,39.927717],[-91.446922,39.883034],[-91.436051,39.84551],[-91.377971,39.811273],[-91.361571,39.787548],[-91.370009,39.732524],[-91.27614,39.665759],[-91.229317,39.620853],[-91.185921,39.605119],[-91.153628,39.548248],[-91.100307,39.538695],[-91.064305,39.494643],[-91.059439,39.46886],[-91.03827,39.448436],[-90.940766,39.403984],[-90.928745,39.387544],[-90.8475,39.345272],[-90.726981,39.251173],[-90.709146,39.155111],[-90.681086,39.10059],[-90.712541,39.057064],[-90.71158,39.046798],[-90.678193,38.991851],[-90.676417,38.965812],[-90.657254,38.92027],[-90.628485,38.891617],[-90.583388,38.86903],[-90.555693,38.870785],[-90.500117,38.910408],[-90.472122,38.958838],[-90.440078,38.967364],[-90.395816,38.960037],[-90.309454,38.92412],[-90.250248,38.919344],[-90.109407,38.843548],[-90.123107,38.798048],[-90.166409,38.772649],[-90.20991,38.72605],[-90.20921,38.70275],[-90.18111,38.65955],[-90.18451,38.611551],[-90.257773,38.532008],[-90.285215,38.443453],[-90.349743,38.377609],[-90.368219,38.340254],[-90.373929,38.281853],[-90.356176,38.217501],[-90.334258,38.189932],[-90.274928,38.157615],[-90.243116,38.112669],[-90.218708,38.094365],[-90.17222,38.069636],[-90.163411,38.074347],[-90.130788,38.062341],[-90.11052,38.026547],[-90.08826,38.015772],[-90.059367,38.015543],[-90.00011,37.964563],[-89.942099,37.970121],[-89.935886,37.959581],[-89.925085,37.960021],[-89.932467,37.947497],[-89.974918,37.926719],[-89.952499,37.883218],[-89.901832,37.869822],[-89.844786,37.905572],[-89.798041,37.879655],[-89.796087,37.859505],[-89.786369,37.851734],[-89.739873,37.84693],[-89.669644,37.799922],[-89.66038,37.786296],[-89.665546,37.752095],[-89.64953,37.745498],[-89.617278,37.74972],[-89.583316,37.713261],[-89.516685,37.692762],[-89.515649,37.636446],[-89.475932,37.592998],[-89.486062,37.580853],[-89.521274,37.578971],[-89.517051,37.537278],[-89.475525,37.471388],[-89.439769,37.4372],[-89.421054,37.387668],[-89.432836,37.347056],[-89.491194,37.331361],[-89.511842,37.310825],[-89.517032,37.28192],[-89.489915,37.251315],[-89.458246,37.247066],[-89.4675,37.221844],[-89.456105,37.18812],[-89.42558,37.138235],[-89.37871,37.094586],[-89.384681,37.048251],[-89.278628,36.98867],[-89.263527,37.00005],[-89.260003,37.023288],[-89.307397,37.050432],[-89.30829,37.068371],[-89.264484,37.064814],[-89.25493,37.072014],[-89.234053,37.037277],[-89.200793,37.016164],[-89.185491,36.973518],[-89.170008,36.970298],[-89.125069,36.983499],[-89.099594,36.964543],[-89.117567,36.887356],[-89.137969,36.847349],[-89.177177,36.835779],[-89.178749,36.809928],[-89.171069,36.798119],[-89.12353,36.785309],[-89.116563,36.767557],[-89.130399,36.751702],[-89.166888,36.759633],[-89.197808,36.739412],[-89.200732,36.720141],[-89.169522,36.688878],[-89.171882,36.672526],[-89.15908,36.666352],[-89.197654,36.628936],[-89.217447,36.576159],[-89.258318,36.564948],[-89.326731,36.632186],[-89.365548,36.625059],[-89.375453,36.615719],[-89.41977,36.493896],[-89.448468,36.46442],[-89.471718,36.457001],[-89.494074,36.473225],[-89.465888,36.529946],[-89.479093,36.568206],[-89.542459,36.580566],[-89.566817,36.564216],[-89.571509,36.552569],[-89.560344,36.525436],[-89.519501,36.475419],[-89.545255,36.427079],[-89.51038,36.378356],[-89.513178,36.359897],[-89.527029,36.341679],[-89.545006,36.336809]]],[[[-74.144428,40.53516],[-74.219787,40.502603],[-74.246688,40.496103],[-74.254588,40.502303],[-74.242888,40.520903],[-74.247808,40.543396],[-74.210887,40.560902],[-74.19682,40.597037],[-74.20058,40.631448],[-74.1894,40.642121],[-74.075884,40.648101],[-74.053125,40.603678],[-74.059184,40.593502],[-74.111471,40.546908],[-74.137241,40.530076],[-74.144428,40.53516]]],[[[-72.132225,41.104387],[-72.126704,41.115139],[-72.084207,41.101524],[-72.086975,41.058292],[-72.095711,41.05402],[-72.103152,41.086484],[-72.139233,41.092451],[-72.142929,41.097811],[-72.132225,41.104387]]],[[[-71.943563,41.286675],[-71.926802,41.290122],[-72.002461,41.252867],[-72.036846,41.249794],[-72.023422,41.270994],[-71.943563,41.286675]]],[[[-73.767176,40.886299],[-73.766976,40.880099],[-73.775276,40.882199],[-73.767176,40.886299]]],[[[-74.027392,44.995765],[-73.343124,45.01084],[-73.354633,44.987352],[-73.338734,44.965886],[-73.338979,44.917681],[-73.35808,44.901325],[-73.381397,44.848805],[-73.379452,44.83801],[-73.335443,44.804602],[-73.333154,44.788759],[-73.363791,44.745254],[-73.361323,44.695369],[-73.389966,44.61962],[-73.376849,44.599598],[-73.381848,44.589316],[-73.374389,44.575455],[-73.338751,44.548046],[-73.306707,44.500334],[-73.293613,44.440559],[-73.315016,44.388513],[-73.334939,44.364441],[-73.312852,44.265346],[-73.323596,44.243897],[-73.34323,44.238049],[-73.361476,44.210374],[-73.390583,44.190886],[-73.402381,44.145856],[-73.415761,44.132826],[-73.411722,44.11754],[-73.43774,44.045006],[-73.407739,44.021312],[-73.408589,43.932933],[-73.37415,43.874163],[-73.381501,43.859235],[-73.376598,43.839357],[-73.392751,43.822196],[-73.350593,43.771939],[-73.425217,43.64429],[-73.428583,43.636543],[-73.418319,43.623325],[-73.430325,43.590532],[-73.39196,43.569915],[-73.384188,43.575512],[-73.383446,43.596778],[-73.373443,43.603292],[-73.371889,43.624489],[-73.306234,43.628018],[-73.293741,43.605203],[-73.294621,43.57897],[-73.258631,43.564949],[-73.242042,43.534925],[-73.278673,42.83341],[-73.284311,42.834954],[-73.290944,42.80192],[-73.276421,42.746019],[-73.264957,42.74594],[-73.508142,42.086257],[-73.496879,42.049675],[-73.487314,42.049638],[-73.489615,42.000092],[-73.550961,41.295422],[-73.482709,41.21276],[-73.727775,41.100696],[-73.655371,41.012797],[-73.655972,40.979597],[-73.683273,40.948998],[-73.756776,40.912599],[-73.784803,40.878528],[-73.788786,40.858485],[-73.781206,40.838891],[-73.793785,40.855583],[-73.81281,40.846737],[-73.811889,40.825363],[-73.781369,40.794907],[-73.768431,40.800704],[-73.728275,40.8529],[-73.730675,40.8654],[-73.713674,40.870099],[-73.675573,40.856999],[-73.655872,40.863899],[-73.654372,40.878199],[-73.633771,40.898198],[-73.569969,40.915398],[-73.548068,40.908698],[-73.499941,40.918166],[-73.485365,40.946397],[-73.437509,40.934985],[-73.428836,40.921506],[-73.406074,40.920235],[-73.400862,40.953997],[-73.392862,40.955297],[-73.352761,40.926697],[-73.295061,40.924497],[-73.229285,40.905121],[-73.148994,40.928898],[-73.140785,40.966178],[-73.110368,40.971938],[-73.043701,40.962185],[-72.774104,40.965314],[-72.714425,40.985596],[-72.585327,40.997587],[-72.521548,41.037652],[-72.477306,41.052212],[-72.445242,41.086116],[-72.397,41.096307],[-72.356087,41.133635],[-72.278789,41.158722],[-72.238211,41.15949],[-72.253572,41.137138],[-72.300374,41.112274],[-72.306381,41.13784],[-72.32663,41.132162],[-72.335177,41.106917],[-72.317238,41.088659],[-72.280373,41.080402],[-72.283093,41.067874],[-72.260515,41.042065],[-72.229364,41.044355],[-72.190563,41.032579],[-72.153857,41.051859],[-72.137297,41.039684],[-72.137409,41.023908],[-72.10216,40.991509],[-72.083039,40.996453],[-72.076175,41.009093],[-72.051585,41.006437],[-72.047468,41.022565],[-71.96704,41.047772],[-71.959595,41.071237],[-71.93825,41.077413],[-71.857494,41.073558],[-71.87391,41.052278],[-72.39585,40.86666],[-72.863164,40.732962],[-73.054963,40.666371],[-73.262106,40.621476],[-73.306396,40.620756],[-73.319257,40.635795],[-73.562372,40.583703],[-73.754776,40.584404],[-73.753349,40.59056],[-73.774928,40.590759],[-73.934512,40.545175],[-73.935686,40.564914],[-73.95005,40.573363],[-74.00903,40.572846],[-74.012996,40.578169],[-74.001591,40.590684],[-74.032856,40.604421],[-74.042412,40.624847],[-74.018272,40.659019],[-74.024827,40.687007],[-74.0168,40.701794],[-74.024543,40.709436],[-74.013784,40.756601],[-73.929006,40.889578],[-73.893979,40.997197],[-74.301994,41.172594],[-74.694914,41.357423],[-74.691129,41.367324],[-74.740963,41.40512],[-74.736688,41.429228],[-74.790417,41.42166],[-74.805655,41.442101],[-74.834635,41.430796],[-74.8542,41.443166],[-74.888691,41.438259],[-74.896025,41.439987],[-74.892114,41.456959],[-74.917282,41.477041],[-74.981652,41.479945],[-74.984372,41.506611],[-75.003706,41.511118],[-75.00385,41.524052],[-75.023018,41.533147],[-75.018524,41.551802],[-75.074613,41.605711],[-75.043562,41.62364],[-75.04992,41.662556],[-75.059332,41.67232],[-75.052736,41.688393],[-75.067278,41.705434],[-75.06663,41.712588],[-75.052226,41.711396],[-75.053431,41.752538],[-75.074231,41.770518],[-75.10464,41.774203],[-75.092876,41.796386],[-75.074412,41.802191],[-75.074409,41.815088],[-75.085789,41.811626],[-75.113334,41.822782],[-75.114399,41.843583],[-75.161541,41.849836],[-75.174574,41.87266],[-75.183937,41.860515],[-75.204002,41.869867],[-75.22572,41.857481],[-75.238743,41.865699],[-75.257825,41.862154],[-75.260623,41.883783],[-75.272581,41.893168],[-75.267773,41.901971],[-75.279094,41.938917],[-75.29143,41.952477],[-75.318168,41.954236],[-75.342204,41.972872],[-75.341125,41.992772],[-75.359579,41.999445],[-79.761374,41.999067],[-79.761951,42.26986],[-79.645358,42.315631],[-79.453533,42.411157],[-79.351989,42.48892],[-79.335129,42.488321],[-79.242889,42.531757],[-79.148723,42.553672],[-79.111361,42.613358],[-79.06376,42.644758],[-79.062261,42.668358],[-79.04886,42.689158],[-78.918157,42.737258],[-78.853455,42.783958],[-78.865592,42.852358],[-78.891655,42.884845],[-78.912458,42.886557],[-78.905659,42.923357],[-78.918859,42.946857],[-78.961761,42.957756],[-79.019964,42.994756],[-79.02092,43.014287],[-79.005164,43.047056],[-79.01053,43.064389],[-79.074467,43.077855],[-79.060281,43.105086],[-79.062518,43.120182],[-79.042366,43.143655],[-79.053067,43.173655],[-79.055868,43.238554],[-79.070469,43.262454],[-78.634346,43.357624],[-78.488857,43.374763],[-78.233609,43.36907],[-78.104509,43.375628],[-77.965238,43.368059],[-77.875335,43.34966],[-77.760231,43.341161],[-77.714129,43.323561],[-77.660359,43.282998],[-77.577223,43.243263],[-77.534184,43.234569],[-77.436831,43.265701],[-77.341092,43.280661],[-77.264177,43.277363],[-77.111866,43.287945],[-77.033875,43.271218],[-76.958402,43.270005],[-76.904288,43.291816],[-76.769025,43.318452],[-76.731039,43.343421],[-76.684856,43.352691],[-76.630774,43.413356],[-76.521999,43.468617],[-76.486962,43.47535],[-76.472498,43.492781],[-76.417581,43.521285],[-76.368849,43.525822],[-76.345492,43.513437],[-76.297103,43.51287],[-76.228701,43.532987],[-76.209853,43.560136],[-76.196596,43.649761],[-76.213205,43.753513],[-76.229268,43.804135],[-76.283307,43.843923],[-76.28272,43.858601],[-76.243384,43.877975],[-76.202257,43.864898],[-76.133267,43.892975],[-76.125023,43.912773],[-76.139086,43.962111],[-76.169802,43.962202],[-76.22805,43.982737],[-76.264294,43.978009],[-76.269672,44.001148],[-76.296755,44.013307],[-76.300532,44.057188],[-76.360306,44.070907],[-76.363835,44.111696],[-76.312647,44.199044],[-76.206777,44.214543],[-76.164265,44.239603],[-76.161833,44.280777],[-76.130884,44.296635],[-76.097351,44.299547],[-76.045228,44.331724],[-76.000998,44.347534],[-75.970185,44.342835],[-75.912985,44.368084],[-75.82083,44.432244],[-75.807778,44.471644],[-75.76623,44.515851],[-75.413885,44.76889],[-75.333744,44.806378],[-75.306487,44.826144],[-75.30763,44.836813],[-75.142958,44.900237],[-75.133977,44.911838],[-75.096659,44.927067],[-75.027125,44.946568],[-75.005155,44.958402],[-74.992756,44.977449],[-74.907956,44.983359],[-74.887837,45.000046],[-74.826578,45.01585],[-74.768749,45.003893],[-74.74464,44.990577],[-74.702018,45.003322],[-74.335184,44.991905],[-74.027392,44.995765]]]]},\"properties\":{\"name\":\"Idaho\",\"nation\":\"USA \"}}]}","volume":"58","issue":"47","noUsgsAuthors":false,"publicationDate":"2024-11-14","publicationStatus":"PW","contributors":{"authors":[{"text":"George, Scott D. 0000-0002-8197-1866 sgeorge@usgs.gov","orcid":"https://orcid.org/0000-0002-8197-1866","contributorId":3014,"corporation":false,"usgs":true,"family":"George","given":"Scott","email":"sgeorge@usgs.gov","middleInitial":"D.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919280,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sepulveda, Adam 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":4187,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":919281,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hutchins, Patrick Ross 0000-0001-5232-0821","orcid":"https://orcid.org/0000-0001-5232-0821","contributorId":256658,"corporation":false,"usgs":true,"family":"Hutchins","given":"Patrick Ross","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":919282,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pilliod, David S. 0000-0003-4207-3518","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":229349,"corporation":false,"usgs":true,"family":"Pilliod","given":"David S.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":919283,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"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":919284,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Thomas, Austen","contributorId":305804,"corporation":false,"usgs":false,"family":"Thomas","given":"Austen","email":"","affiliations":[{"id":66305,"text":"Molecular Division, Smith-Root, Washington, USA","active":true,"usgs":false}],"preferred":false,"id":919285,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Augustine, Ben 0000-0001-6935-6361","orcid":"https://orcid.org/0000-0001-6935-6361","contributorId":245736,"corporation":false,"usgs":true,"family":"Augustine","given":"Ben","email":"","affiliations":[{"id":49304,"text":"Department of Natural Resources, Cornell University","active":true,"usgs":false}],"preferred":false,"id":919286,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Huddleston Adrianza, Chany C 0000-0001-7165-7577","orcid":"https://orcid.org/0000-0001-7165-7577","contributorId":346481,"corporation":false,"usgs":true,"family":"Huddleston Adrianza","given":"Chany","email":"","middleInitial":"C","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":919287,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Jones-Slobodian, Devin Nicole 0000-0001-9215-2930","orcid":"https://orcid.org/0000-0001-9215-2930","contributorId":305357,"corporation":false,"usgs":true,"family":"Jones-Slobodian","given":"Devin","middleInitial":"Nicole","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":919297,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Williams, Jacob R.","contributorId":288679,"corporation":false,"usgs":false,"family":"Williams","given":"Jacob","email":"","middleInitial":"R.","affiliations":[{"id":61825,"text":"Montana Fish","active":true,"usgs":false}],"preferred":false,"id":919288,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Leinonen, Eric","contributorId":346482,"corporation":false,"usgs":false,"family":"Leinonen","given":"Eric","email":"","affiliations":[{"id":82874,"text":"Turner Enterprise Management","active":true,"usgs":false}],"preferred":false,"id":919289,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70260479,"text":"sir20245103 - 2024 - Federal lands greenhouse gas emissions and sequestration in the United States: Estimates for 2005–22","interactions":[{"subject":{"id":70199919,"text":"sir20185131 - 2018 - Federal lands greenhouse emissions and sequestration in the United States—Estimates for 2005–14","indexId":"sir20185131","publicationYear":"2018","noYear":false,"displayTitle":"Federal Lands Greenhouse Gas Emissions and Sequestration in the United States: Estimates for 2005–14","title":"Federal lands greenhouse emissions and sequestration in the United States—Estimates for 2005–14"},"predicate":"SUPERSEDED_BY","object":{"id":70260479,"text":"sir20245103 - 2024 - Federal lands greenhouse gas emissions and sequestration in the United States: Estimates for 2005–22","indexId":"sir20245103","publicationYear":"2024","noYear":false,"title":"Federal lands greenhouse gas emissions and sequestration in the United States: Estimates for 2005–22"},"id":1}],"lastModifiedDate":"2025-12-22T21:25:11.108945","indexId":"sir20245103","displayToPublicDate":"2024-11-13T09:55:00","publicationYear":"2024","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":"2024-5103","displayTitle":"Federal Lands Greenhouse Gas Emissions and Sequestration in the United States—Estimates for 2005–22","title":"Federal lands greenhouse gas emissions and sequestration in the United States: Estimates for 2005–22","docAbstract":"In 2016, the Secretary of the U.S. Department of the Interior requested that the U.S. Geological Survey (USGS) produce a publicly available and annually updated database of estimated greenhouse gas emissions associated with the extraction and use of fossil fuels from Federal lands. The first report in this series included emissions estimates from 2005 to 2014 and were reported for 29 States and two offshore areas. Native American and Tribal lands were not included in that analysis. This report recalculates those previous years (2005–14) with updated data and methods and extends the estimates to 2022. Nationwide emissions from fossil fuels produced on Federal lands in 2022 were 1,081.2 million metric tons of carbon dioxide equivalent (MMT CO2 Eq.) for CO2, 33.4 MMT CO2 Eq. for methane (CH4), and 4.3 MMT CO2 Eq. for nitrous oxide (N2O). Compared to 2005, the 2022 totals represent decreases in emissions for all three greenhouse gases (by 17 percent for CO2, 37 percent for CH4, and 30 percent for N2O). Emissions from fossil fuels produced on Federal lands represent, on average, 21.8 percent of U.S. emissions for CO2, 6.1 percent for CH4, and 1.3 percent for N2O over the 18 years included in this estimate. The trends and relative magnitudes of the greenhouse gas emissions estimated are roughly parallel to the Federal lands fossil fuel production volumes.
In 2021, Federal lands of the conterminous United States stored 70,424 MMT CO2 Eq. in terrestrial ecosystems. Soils stored most of the terrestrial ecosystem carbon (66 percent), followed by live vegetation (25 percent), deadwood (5 percent), and litter (4 percent). Carbon sequestration on Federal lands was highly variable over time, owing primarily to interannual variability in climate and weather, and variability in land use and land cover (LULC) change and disturbances, among these are wildfires and logging. Between 2005 and 2021, Federal lands sequestered an average of 83 MMT CO2 Eq./yr. By subtracting the cumulative effects of LULC and disturbance-related CO2 losses to the atmosphere from the total, we estimate that ecosystems at the national level sequestered CO2 at an annual mean rate of 17 MMT CO2 Eq./yr in a term called the net ecosystem exchange (NEE). This annual NEE sequestration value represents about 1.4 percent of average fossil fuel emissions over the same period.
The USGS estimates presented in this report represent an accounting for the emissions resulting from fossil fuel extraction on Federal lands and the end-use combustion of those fuels, as well as for the sequestration of carbon in terrestrial ecosystems on Federal lands. A combined net CO2 emissions estimate, which is the difference between the emitted and sequestered CO2 from both the fossil fuel and ecosystems estimates, provides context for evaluating the greenhouse gas contributions of activities on these lands. The estimates included in this report can provide context for future energy decisions, as well as a basis to track change in the future.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20245103","usgsCitation":"Merrill, M.D., Sleeter, B.M., and Freeman, P.A., 2024, Federal lands greenhouse gas emissions and sequestration in the United States—Estimates for 2005–22: U.S. Geological Survey Scientific Investigations Report 2024–5103, 39 p., https://doi.org/10.3133/sir20245103. [Supersedes USGS Scientific Investigations Report 2018–5131.]","productDescription":"Report: viii, 39 p.; Data Release","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-167699","costCenters":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":463585,"rank":3,"type":{"id":39,"text":"HTML Document"},"url":"https://pubs.usgs.gov/publication/sir20245103/full","text":"Report","linkFileType":{"id":5,"text":"html"},"description":"SIR 2024-5103 HTML"},{"id":463583,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2024/5103/coverthb.jpg"},{"id":463587,"rank":5,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2024/5103/images"},{"id":463586,"rank":4,"type":{"id":31,"text":"Publication XML"},"url":"https://pubs.usgs.gov/sir/2024/5103/sir20245103.XML","linkFileType":{"id":8,"text":"xml"},"description":"SIR 2024-5103 XML"},{"id":497912,"rank":8,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_117792.htm","linkFileType":{"id":5,"text":"html"}},{"id":465340,"rank":7,"type":{"id":18,"text":"Project Site"},"url":"https://energy.usgs.gov/fedghg/","text":"Interactive map","linkFileType":{"id":5,"text":"html"},"linkHelpText":"- Federal Lands Emissions and Sequestration in the United States: Estimates 2005-22"},{"id":463588,"rank":6,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P14CVD9R","text":"USGS data release","linkHelpText":"Federal lands greenhouse gas emissions and sequestration in the United States—Estimates for 2005–22 - data"},{"id":463584,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2024/5103/sir20245103.pdf","text":"Report","size":"2.18 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2024-5103 PDF"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.67138671875,\n 54.686534234529695\n ],\n [\n -129.9462890625,\n 55.36662484928637\n ],\n [\n -130.1220703125,\n 56.145549500679074\n ],\n [\n -131.9677734375,\n 56.9449741808516\n ],\n [\n -135.3076171875,\n 59.833775202184206\n ],\n [\n -136.38427734375,\n 59.65664225341022\n ],\n [\n -136.6259765625,\n 59.23217626921806\n ],\n [\n -137.52685546875,\n 58.938673187948304\n ],\n [\n -137.65869140625,\n 59.33318942659219\n ],\n [\n -138.8232421875,\n 60.009970961180386\n ],\n [\n -139.21874999999997,\n 60.108670463036\n ],\n [\n -139.04296875,\n 60.403001945865476\n ],\n [\n -139.85595703125,\n 60.337823495982015\n ],\n [\n -140.99853515625,\n 60.337823495982015\n ],\n [\n -141.15234374999997,\n 69.71810669906763\n ],\n [\n -143.4375,\n 70.17020068549206\n ],\n [\n -145.1953125,\n 70.08056215839737\n ],\n [\n -149.765625,\n 70.58341752317065\n ],\n [\n -152.40234375,\n 70.61261423801925\n ],\n [\n -152.314453125,\n 70.95969716686398\n ],\n [\n -157.1484375,\n 71.35706654962706\n ],\n [\n -159.9609375,\n 70.8734913192635\n ],\n [\n -162.0703125,\n 70.31873847853124\n ],\n [\n -163.916015625,\n 69.06856318696033\n ],\n [\n -166.376953125,\n 68.942606818121\n ],\n [\n -166.376953125,\n 68.26938680456564\n ],\n [\n -163.30078125,\n 66.86108230224609\n ],\n [\n -161.982421875,\n 66.47820814385636\n ],\n [\n -163.564453125,\n 66.08936427047088\n ],\n [\n -163.564453125,\n 66.6181218846659\n ],\n [\n -165.76171875,\n 66.40795547978848\n ],\n [\n -168.0908203125,\n 65.69447579373418\n ],\n [\n -166.55273437499997,\n 65.14611484756372\n ],\n [\n -166.904296875,\n 65.05360170595502\n ],\n [\n -166.3330078125,\n 64.41592147626879\n ],\n [\n -162.861328125,\n 64.39693778132846\n ],\n [\n -160.927734375,\n 64.90491004905083\n ],\n [\n -161.0595703125,\n 64.47279382008166\n ],\n [\n -161.4990234375,\n 64.49172504435471\n ],\n [\n -160.8837890625,\n 63.87939001720202\n ],\n [\n -161.1474609375,\n 63.470144746565424\n ],\n [\n -162.6416015625,\n 63.64625919492172\n ],\n [\n -163.212890625,\n 63.05495931065107\n ],\n [\n -164.2236328125,\n 63.37183226679281\n ],\n [\n -166.1572265625,\n 61.75233128411639\n ],\n [\n -165.3662109375,\n 60.54377524118842\n ],\n [\n -167.431640625,\n 60.326947742998414\n ],\n [\n -167.255859375,\n 59.866883195210214\n ],\n [\n -165.8935546875,\n 59.7563950493563\n ],\n [\n -162.68554687499997,\n 59.734253447591364\n ],\n [\n -162.3779296875,\n 60.174306261926034\n ],\n [\n -161.806640625,\n 59.46740794183739\n ],\n [\n -162.0263671875,\n 59.108308258604964\n ],\n [\n -161.806640625,\n 58.768200159239576\n ],\n [\n -162.20214843749997,\n 58.65408464530598\n ],\n [\n -160.83984375,\n 58.44773280389084\n ],\n [\n -159.9609375,\n 58.6769376725869\n ],\n [\n -159.08203125,\n 58.309488840677645\n ],\n [\n -156.88476562499997,\n 58.92733441827545\n ],\n [\n -157.5,\n 58.516651799363785\n ],\n [\n -157.8076171875,\n 57.61010702068388\n ],\n [\n -161.54296875,\n 56.022948079627454\n ],\n [\n -168.6181640625,\n 53.4357192066942\n ],\n [\n -174.9462890625,\n 52.26815737376817\n ],\n [\n -178.2421875,\n 51.83577752045248\n ],\n [\n -173.1884765625,\n 51.590722643120145\n ],\n [\n -162.5537109375,\n 54.23955053156177\n ],\n [\n -155.302734375,\n 55.52863052257191\n ],\n [\n -151.4794921875,\n 57.51582286553883\n ],\n [\n -146.9970703125,\n 60.08676274626006\n ],\n [\n -145.546875,\n 60.21799073323445\n ],\n [\n -144.228515625,\n 59.689926220143356\n ],\n [\n -142.3828125,\n 59.93300042374631\n ],\n [\n -138.3837890625,\n 58.83649009392136\n ],\n [\n -135.6591796875,\n 56.31653672211301\n ],\n [\n -133.2421875,\n 54.521081495443596\n ],\n [\n -130.67138671875,\n 54.686534234529695\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -66.796875,\n 44.902577996288876\n ],\n [\n -67.67578124999999,\n 45.583289756006316\n ],\n [\n -67.939453125,\n 47.57652571374621\n ],\n [\n -69.2578125,\n 47.338822694822\n ],\n [\n -71.19140625,\n 45.27488643704891\n ],\n [\n -75.146484375,\n 44.96479793033101\n ],\n [\n -78.046875,\n 43.644025847699496\n ],\n [\n -79.1015625,\n 43.51668853502906\n ],\n [\n -79.1015625,\n 42.87596410238256\n ],\n [\n -82.68310546875,\n 41.65649719441145\n ],\n [\n -83.14453125,\n 42.049292638686836\n ],\n [\n -83.07861328125,\n 42.374778361114195\n ],\n [\n -82.529296875,\n 42.601619944327965\n ],\n [\n -82.24365234375,\n 43.6599240747891\n ],\n [\n -82.41943359375,\n 45.058001435398275\n ],\n [\n -83.60595703125,\n 45.85941212790755\n ],\n [\n -83.49609375,\n 46.027481852486645\n ],\n [\n -83.7158203125,\n 46.164614496897094\n ],\n [\n -83.95751953125,\n 46.07323062540835\n ],\n [\n -84.24316406249999,\n 46.558860303117164\n ],\n [\n -84.72656249999999,\n 46.558860303117164\n ],\n [\n -84.90234375,\n 46.92025531537451\n ],\n [\n -88.41796875,\n 48.3416461723746\n ],\n [\n -89.3408203125,\n 47.96050238891509\n ],\n [\n -90.76904296874999,\n 48.122101028190805\n ],\n [\n -90.87890625,\n 48.22467264956519\n ],\n [\n -91.51611328125,\n 48.10743118848039\n ],\n [\n -92.2412109375,\n 48.37084770238366\n ],\n [\n -92.39501953125,\n 48.23930899024907\n ],\n [\n -92.94433593749999,\n 48.61838518688487\n ],\n [\n -93.44970703125,\n 48.63290858589535\n ],\n [\n -94.7021484375,\n 48.748945343432936\n ],\n [\n -94.833984375,\n 49.23912083246698\n ],\n [\n -95.1416015625,\n 49.396675075193976\n ],\n [\n -95.20751953125,\n 49.009050809382046\n ],\n [\n -123.22265625000001,\n 48.99463598353405\n ],\n [\n -123.0908203125,\n 48.80686346108517\n ],\n [\n -123.24462890625,\n 48.66194284607006\n ],\n [\n -123.1787109375,\n 48.32703913063476\n ],\n [\n -124.78271484375,\n 48.472921272487824\n ],\n [\n -124.93652343749999,\n 48.16608541901253\n ],\n [\n -124.365234375,\n 46.58906908309182\n ],\n [\n -124.541015625,\n 44.15068115978094\n ],\n [\n -124.93652343749999,\n 42.69858589169842\n ],\n [\n -124.541015625,\n 41.22824901518529\n ],\n [\n -124.73876953125,\n 40.43022363450862\n ],\n [\n -124.03564453125,\n 39.35129035526705\n ],\n [\n -124.01367187499999,\n 38.8225909761771\n ],\n [\n -122.05810546875,\n 36.12012758978146\n ],\n [\n -120.95947265624999,\n 34.88593094075317\n ],\n [\n -120.80566406250001,\n 34.08906131584994\n ],\n [\n -118.21289062499999,\n 32.2313896627376\n ],\n [\n -117.22412109375,\n 32.54681317351514\n ],\n [\n -114.78515624999999,\n 32.713355353177555\n ],\n [\n -114.78515624999999,\n 32.491230287947594\n ],\n [\n -110.98388671874999,\n 31.3348710339506\n ],\n [\n -108.21533203125,\n 31.297327991404266\n ],\n [\n -108.2373046875,\n 31.765537409484374\n ],\n [\n -106.435546875,\n 31.765537409484374\n ],\n [\n -104.9853515625,\n 30.600093873550072\n ],\n [\n -104.47998046875,\n 29.592565403314087\n ],\n [\n -103.20556640625,\n 28.94086176940557\n ],\n [\n -102.65625,\n 29.76437737516313\n ],\n [\n -102.3486328125,\n 29.84064389983441\n ],\n [\n -101.49169921875,\n 29.7453016622136\n ],\n [\n -100.83251953125,\n 29.267232865200878\n ],\n [\n -100.30517578125,\n 28.246327971048842\n ],\n [\n -99.60205078124999,\n 27.586197857692664\n ],\n [\n -99.47021484375,\n 27.31321389856826\n ],\n [\n -99.228515625,\n 26.52956523826758\n ],\n [\n -98.2177734375,\n 26.05678288577881\n ],\n [\n -97.75634765625,\n 26.03704188651584\n ],\n [\n -97.44873046875,\n 25.839449402063185\n ],\n [\n -97.20703125,\n 25.93828707492375\n ],\n [\n -96.8994140625,\n 26.194876675795218\n ],\n [\n -96.78955078125,\n 27.858503954841247\n ],\n [\n -93.75732421875,\n 29.420460341013133\n ],\n [\n -90.2197265625,\n 28.998531814051795\n ],\n [\n -88.22021484375,\n 29.05616970274342\n ],\n [\n -87.91259765625,\n 30.14512718337613\n ],\n [\n -86.5283203125,\n 30.183121842195515\n ],\n [\n -85.2978515625,\n 29.49698759653577\n ],\n [\n -84.13330078125,\n 29.80251790576445\n ],\n [\n -82.81494140625,\n 28.555576049185973\n ],\n [\n -83.21044921875,\n 27.800209937418252\n ],\n [\n -82.77099609375,\n 26.941659545381516\n ],\n [\n -82.08984375,\n 25.878994400196202\n ],\n [\n -81.5625,\n 25.264568475331583\n ],\n [\n -82.28759765625,\n 24.467150664739002\n ],\n [\n -82.0458984375,\n 24.046463999666567\n ],\n [\n -80.6396484375,\n 24.56710835257599\n ],\n [\n -79.78271484375,\n 25.34402602913433\n ],\n [\n -79.60693359375,\n 27.27416111737468\n ],\n [\n -80.68359375,\n 30.713503990354965\n ],\n [\n -80.66162109375,\n 31.50362930577303\n ],\n [\n -76.81640625,\n 34.07086232376631\n ],\n [\n -75.16845703124999,\n 35.263561862152095\n ],\n [\n -75.498046875,\n 37.055177106660814\n ],\n [\n -73.58642578125,\n 39.90973623453719\n ],\n [\n -71.3671875,\n 40.84706035607122\n ],\n [\n -69.63134765625,\n 40.9964840143779\n ],\n [\n -70.0048828125,\n 42.342305278572816\n ],\n [\n -70.3564453125,\n 42.89206418807337\n ],\n [\n -67.2802734375,\n 44.37098696297173\n ],\n [\n -67.0166015625,\n 44.69989765840318\n ],\n [\n -66.796875,\n 44.902577996288876\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.56640625,\n 18.771115062337024\n ],\n [\n -154.68749999999997,\n 19.642587534013032\n ],\n [\n -156.9287109375,\n 21.453068633086783\n ],\n [\n -159.521484375,\n 22.43134015636061\n ],\n [\n -160.5322265625,\n 21.983801417384697\n ],\n [\n -159.9609375,\n 21.207458730482642\n ],\n [\n -158.291015625,\n 20.92039691397189\n ],\n [\n -156.97265625,\n 19.932041306115536\n ],\n [\n -155.9619140625,\n 18.8543103618898\n ],\n [\n -155.56640625,\n 18.771115062337024\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Geology, Energy & Minerals Science Center
U.S. Geological Survey
954 National Center
12201 Sunrise Valley Drive
Reston, VA 20192