{"pageNumber":"36","pageRowStart":"875","pageSize":"25","recordCount":10449,"records":[{"id":70238615,"text":"70238615 - 2022 - Atmospheric circulation drivers of extreme high water level events at Foggy Island Bay, Alaska","interactions":[],"lastModifiedDate":"2022-12-01T14:28:00.803404","indexId":"70238615","displayToPublicDate":"2022-12-01T08:20:04","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5634,"text":"Atmosphere","active":true,"publicationSubtype":{"id":10}},"title":"Atmospheric circulation drivers of extreme high water level events at Foggy Island Bay, Alaska","docAbstract":"The northern coast of Alaska is experiencing significant climatic change enhancing hazards from reduced sea ice and increased coastal erosion. This same region is home to offshore oil/gas activities. Foggy Island Bay is one region along the Beaufort Sea coast with planned offshore oil/gas development that will need to account for the changing climate. High water levels impact infrastructure through coastal erosion and flooding hazards. In this study, 21 high water level events exceeding the top 95th percentile were identified at the gauge in Prudhoe Bay, Alaska (adjacent to Foggy Island Bay) over 1990-2018. All events were associated with strong westerly winds according to weather station records. Low pressure storm systems were found to be a key driver of westerly winds in the region according to downscaled reanalysis and storm track data. A dynamically downscaled global climate model projection from CMIP5 indicates that days with westerly wind events will become frequent by 2100 in the Foggy Island Bay region. Coupled with the anticipated continued decline in sea ice, the northern coast of Alaska may experience more frequent high water events over the next ~80 years.","language":"English","publisher":"MDPI","doi":"10.3390/atmos13111791","usgsCitation":"Bieniek, P., Erikson, L.H., and Kasper, J., 2022, Atmospheric circulation drivers of extreme high water level events at Foggy Island Bay, Alaska: Atmosphere, v. 13, 1791, 17 p., https://doi.org/10.3390/atmos13111791.","productDescription":"1791, 17 p.","ipdsId":"IP-144924","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":445740,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/atmos13111791","text":"Publisher Index Page"},{"id":409922,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Beaufort Sea, Foggy Island Bay, Prudhoe Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -148.80741465739465,\n              70.39723931268995\n            ],\n            [\n              -148.70029566028296,\n              70.4000035945075\n            ],\n            [\n              -148.54373712604283,\n              70.3677303272334\n            ],\n            [\n              -148.4970442298659,\n              70.33540601843683\n            ],\n            [\n              -148.5245106393817,\n              70.31321124176867\n            ],\n            [\n              -148.5217639984302,\n              70.29284489806011\n            ],\n            [\n              -148.3404856956258,\n              70.29377107971973\n            ],\n            [\n              -148.1015279328383,\n              70.39816078157423\n            ],\n            [\n              -148.37344538704474,\n              70.47541577367042\n            ],\n            [\n              -148.7222687878956,\n              70.46715246793207\n            ],\n            [\n              -148.80741465739465,\n              70.39723931268995\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2022-10-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Bieniek, Peter A.","contributorId":209850,"corporation":false,"usgs":false,"family":"Bieniek","given":"Peter A.","affiliations":[{"id":38014,"text":"Alaska Climate Science Center, University of Alaska, Fairbanks, AK","active":true,"usgs":false}],"preferred":false,"id":858103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Erikson, Li H. 0000-0002-8607-7695 lerikson@usgs.gov","orcid":"https://orcid.org/0000-0002-8607-7695","contributorId":149963,"corporation":false,"usgs":true,"family":"Erikson","given":"Li","email":"lerikson@usgs.gov","middleInitial":"H.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":858104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kasper, Jeremy L. 0000-0003-0975-6114","orcid":"https://orcid.org/0000-0003-0975-6114","contributorId":208630,"corporation":false,"usgs":false,"family":"Kasper","given":"Jeremy L.","affiliations":[{"id":37850,"text":"University of Alaska Fairbanks, Fairbanks, Alaska, UNITED STATES","active":true,"usgs":false}],"preferred":false,"id":858105,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70226741,"text":"70226741 - 2022 - OpenET: Filling a critical data gap in water management for the western United States","interactions":[],"lastModifiedDate":"2024-05-17T16:01:54.302021","indexId":"70226741","displayToPublicDate":"2022-12-01T06:52:20","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"OpenET: Filling a critical data gap in water management for the western United States","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>The lack of consistent, accurate information on evapotranspiration (ET) and consumptive use of water by irrigated agriculture is one of the most important data gaps for water managers in the western United States (U.S.) and other arid agricultural regions globally. The ability to easily access information on ET is central to improving water budgets across the West, advancing the use of data-driven irrigation management strategies, and expanding incentive-driven conservation programs. Recent advances in remote sensing of ET have led to the development of multiple approaches for field-scale ET mapping that have been used for local and regional water resource management applications by U.S. state and federal agencies. The OpenET project is a community-driven effort that is building upon these advances to develop an operational system for generating and distributing ET data at a field scale using an ensemble of six well-established satellite-based approaches for mapping ET. Key objectives of OpenET include: Increasing access to remotely sensed ET data through a web-based data explorer and data services; supporting the use of ET data for a range of water resource management applications; and development of use cases and training resources for agricultural producers and water resource managers. Here we describe the OpenET framework, including the models used in the ensemble, the satellite, meteorological, and ancillary data inputs to the system, and the OpenET data visualization and access tools. We also summarize an extensive intercomparison and accuracy assessment conducted using ground measurements of ET from 139 flux tower sites instrumented with open path eddy covariance systems. Results calculated for 24 cropland sites from Phase I of the intercomparison and accuracy assessment demonstrate strong agreement between the satellite-driven ET models and the flux tower ET data. For the six models that have been evaluated to date (ALEXI/DisALEXI, eeMETRIC, geeSEBAL, PT-JPL, SIMS, and SSEBop) and the ensemble mean, the weighted average mean absolute error (MAE) values across all sites range from 13.6 to 21.6 mm/month at a monthly timestep, and 0.74 to 1.07 mm/day at a daily timestep. At seasonal time scales, for all but one of the models the weighted mean total ET is within ±8% of both the ensemble mean and the weighted mean total ET calculated from the flux tower data. Overall, the ensemble mean performs as well as any individual model across nearly all accuracy statistics for croplands, though some individual models may perform better for specific sites and regions. We conclude with three brief use cases to illustrate current applications and benefits of increased access to ET data, and discuss key lessons learned from the development of OpenET.</p></div></div>","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12956","usgsCitation":"Melton, F., Huntington, J., Grimm, R., Herring, J., Hall, M., Rollison, D., Erickson, T., Allen, R., Anderson, M., Fisher, J., Kilic, A., Senay, G., Volk, J.M., Hain, C., Johnson, L., Ruhoff, A., Blankenau, P., Bromley, M., Carrara, W., Daudert, B., Doherty, C., Dunkerly, C., Friedrichs, M., Guzman, A., Halverson, G., Hansen, J., Harding, J., Kang, Y., Ketchum, D., Minor, B., Morton, C., Ortega-Salazar, S., Ott, T., Ozdogan, M., Revelle, P., Schull, M., Wang, C., Yang, Y., and Anderson, R.G., 2022, OpenET: Filling a critical data gap in water management for the western United States: Journal of the American Water Resources Association, v. 58, no. 6, p. 971-994, https://doi.org/10.1111/1752-1688.12956.","productDescription":"24 p.","startPage":"971","endPage":"994","ipdsId":"IP-120472","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":445752,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/1752-1688.12956","text":"Publisher Index Page"},{"id":392675,"rank":1,"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              -103.60195077254994,\n              48.76593894694591\n            ],\n            [\n              -125.8057970007525,\n              48.76593894694591\n            ],\n            [\n              -125.8057970007525,\n              29.843778013991184\n            ],\n            [\n              -103.60195077254994,\n              29.843778013991184\n            ],\n            [\n              -103.60195077254994,\n              48.76593894694591\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"58","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-11-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Melton, Forrest","contributorId":269891,"corporation":false,"usgs":false,"family":"Melton","given":"Forrest","affiliations":[{"id":56042,"text":"NASA Ames Research Center, California State University Monterey Bay","active":true,"usgs":false}],"preferred":false,"id":828067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huntington, Justin","contributorId":269892,"corporation":false,"usgs":false,"family":"Huntington","given":"Justin","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":828068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grimm, Robyn","contributorId":269893,"corporation":false,"usgs":false,"family":"Grimm","given":"Robyn","email":"","affiliations":[{"id":15310,"text":"Environmental Defense Fund","active":true,"usgs":false}],"preferred":false,"id":828069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Herring, Jamie","contributorId":269894,"corporation":false,"usgs":false,"family":"Herring","given":"Jamie","email":"","affiliations":[{"id":40792,"text":"Habitat Seven","active":true,"usgs":false}],"preferred":false,"id":828070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hall, 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Richard","contributorId":269898,"corporation":false,"usgs":false,"family":"Allen","given":"Richard","affiliations":[{"id":36394,"text":"University of Idaho","active":true,"usgs":false}],"preferred":false,"id":828074,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Anderson, Martha","contributorId":269899,"corporation":false,"usgs":false,"family":"Anderson","given":"Martha","affiliations":[{"id":37009,"text":"USDA Agricultural Research Service","active":true,"usgs":false}],"preferred":false,"id":828075,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fisher, Joshua","contributorId":269905,"corporation":false,"usgs":false,"family":"Fisher","given":"Joshua","affiliations":[{"id":39807,"text":"NASA Jet Propulsion Lab","active":true,"usgs":false}],"preferred":false,"id":828081,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kilic, Ayse","contributorId":269913,"corporation":false,"usgs":false,"family":"Kilic","given":"Ayse","email":"","affiliations":[{"id":16587,"text":"University of Nebraska Lincoln","active":true,"usgs":false}],"preferred":false,"id":828131,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":828132,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Volk, J. 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Anderson","contributorId":269919,"corporation":false,"usgs":false,"family":"Ruhoff","given":"Anderson","email":"","affiliations":[{"id":56044,"text":"Universidade Federal do Rio Grande do Sul","active":true,"usgs":false}],"preferred":false,"id":828136,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Blankenau, Philip","contributorId":269900,"corporation":false,"usgs":false,"family":"Blankenau","given":"Philip","email":"","affiliations":[{"id":7225,"text":"Idaho Department of Water Resources","active":true,"usgs":false}],"preferred":false,"id":828137,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Bromley, Matthew 0000-0002-2169-3307","orcid":"https://orcid.org/0000-0002-2169-3307","contributorId":222709,"corporation":false,"usgs":false,"family":"Bromley","given":"Matthew","email":"","affiliations":[{"id":16138,"text":"Desert Research 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Christian","contributorId":269904,"corporation":false,"usgs":false,"family":"Dunkerly","given":"Christian","email":"","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":828142,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Friedrichs, MacKenzie 0000-0002-9602-321X mfriedrichs@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-321X","contributorId":5847,"corporation":false,"usgs":true,"family":"Friedrichs","given":"MacKenzie","email":"mfriedrichs@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":828143,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Guzman, Alberto","contributorId":269906,"corporation":false,"usgs":false,"family":"Guzman","given":"Alberto","email":"","affiliations":[{"id":56042,"text":"NASA Ames Research Center, California State University Monterey Bay","active":true,"usgs":false}],"preferred":false,"id":828144,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Halverson, Gregory","contributorId":269908,"corporation":false,"usgs":false,"family":"Halverson","given":"Gregory","email":"","affiliations":[{"id":39807,"text":"NASA Jet Propulsion Lab","active":true,"usgs":false}],"preferred":false,"id":828145,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Hansen, Jody","contributorId":269909,"corporation":false,"usgs":false,"family":"Hansen","given":"Jody","email":"","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":828146,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Harding, 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Research Institute","active":true,"usgs":false}],"preferred":false,"id":828153,"contributorType":{"id":1,"text":"Authors"},"rank":33},{"text":"Ozdogan, Mutlu","contributorId":32060,"corporation":false,"usgs":true,"family":"Ozdogan","given":"Mutlu","affiliations":[],"preferred":false,"id":828154,"contributorType":{"id":1,"text":"Authors"},"rank":34},{"text":"Revelle, Peter","contributorId":269918,"corporation":false,"usgs":false,"family":"Revelle","given":"Peter","affiliations":[{"id":16587,"text":"University of Nebraska Lincoln","active":true,"usgs":false}],"preferred":false,"id":828155,"contributorType":{"id":1,"text":"Authors"},"rank":35},{"text":"Schull, Mitch","contributorId":269920,"corporation":false,"usgs":false,"family":"Schull","given":"Mitch","email":"","affiliations":[{"id":56045,"text":"USDA Agricultural Research Service, University of Maryland","active":true,"usgs":false}],"preferred":false,"id":828156,"contributorType":{"id":1,"text":"Authors"},"rank":36},{"text":"Wang, 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,{"id":70241419,"text":"70241419 - 2022 - Validation of a portable eDNA detection kit for invasive carps","interactions":[],"lastModifiedDate":"2023-03-17T11:39:01.736733","indexId":"70241419","displayToPublicDate":"2022-11-30T06:36:45","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":6476,"text":"Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Validation of a portable eDNA detection kit for invasive carps","docAbstract":"<div class=\"html-p\">Loop-mediated isothermal amplification (LAMP) is a rapid molecular detection technique that has been used as a diagnostic tool for detecting human and animal pathogens for over 20 years and is promising for detecting environmental DNA shed by invasive species. We designed a LAMP assay to detect the invasive carps, silver carp (<span class=\"html-italic\">Hypophthalmichthys molitrix</span>), bighead carp (<span class=\"html-italic\">Hypophthalmichthys nobilis</span>), black carp (<span class=\"html-italic\">Mylopharyngodon piceus</span>), and grass carp (<span class=\"html-italic\">Ctenopharyngodon idella</span>). To determine the sensitivity of the LAMP assay, we determined limit of detection (LOD) for each invasive carp species and compared with the performance of a grass carp quantitative PCR (qPCR) assay in LOD and in a mesocosm study. We used two grass carp densities, 3 juvenile grass carp in one mesocosm and 33 juvenile grass carp in the other. Prior to adding grass carp to the mesocosms, we added 68 kg of fathead minnows (<span class=\"html-italic\">Pimephales promelas</span>) to each mesocosm to simulate farm ponds used for raising bait fish. We filtered 500 mL of water per sample to compare LAMP and qPCR analysis, and we collected 50 mL grab samples that were only analyzed using qPCR to gain additional data using a higher-throughput method to monitor environmental DNA (eDNA) levels throughout the study period. No eDNA for any of the four invasive carp species was detected in water collected from the mesocosms during the three days prior to adding grass carp. Forty-eight hours after grass carp addition to mesocosms, we detected grass carp eDNA in the mesocosm containing 33 grass carp using the LAMP assay. However, we failed to detect any grass carp DNA in the mesocosm containing 3 grass carp with the LAMP assay throughout the study. We analyzed the data using an occupancy model and found that the 500 mL filter samples yielded a higher eDNA capture probability than 50 mL grab samples in the mesocosm containing three grass carp but had similar eDNA capture probability in the mesocosm containing 33 grass carp. Both LAMP and qPCR reliably detected grass carp eDNA 2 days after grass carp addition, but detections were more consistent with qPCR. The LAMP assay may have utility for certain niche uses because it can be used to rapidly analyze eDNA samples and is robust to inhibition, despite having some limitations.</div>","language":"English","publisher":"MDPI","doi":"10.3390/fishes7060363","usgsCitation":"Kageyama, S.A., Hoogland, M.R., Tajjioui, T., Schreier, T.M., Erickson, R.A., and Merkes, C.M., 2022, Validation of a portable eDNA detection kit for invasive carps: Fishes, v. 7, no. 6, 363, 18 p., https://doi.org/10.3390/fishes7060363.","productDescription":"363, 18 p.","ipdsId":"IP-125471","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":445775,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/fishes7060363","text":"Publisher Index Page"},{"id":435608,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9NICB9V","text":"USGS data release","linkHelpText":"Analysis of Grass Carp eDNA Data"},{"id":414328,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"6","noUsgsAuthors":false,"publicationDate":"2022-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Kageyama, Stacie A. 0000-0003-4185-3627 skageyama@usgs.gov","orcid":"https://orcid.org/0000-0003-4185-3627","contributorId":195991,"corporation":false,"usgs":true,"family":"Kageyama","given":"Stacie","email":"skageyama@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866802,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoogland, Matthew Regh 0000-0002-5340-6915","orcid":"https://orcid.org/0000-0002-5340-6915","contributorId":303225,"corporation":false,"usgs":true,"family":"Hoogland","given":"Matthew","email":"","middleInitial":"Regh","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866803,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tajjioui, Tariq 0000-0002-0113-0451","orcid":"https://orcid.org/0000-0002-0113-0451","contributorId":215091,"corporation":false,"usgs":true,"family":"Tajjioui","given":"Tariq","email":"","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866804,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Schreier, Theresa M. 0000-0001-7722-6292 tschreier@usgs.gov","orcid":"https://orcid.org/0000-0001-7722-6292","contributorId":3344,"corporation":false,"usgs":true,"family":"Schreier","given":"Theresa","email":"tschreier@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866805,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Erickson, Richard A. 0000-0003-4649-482X rerickson@usgs.gov","orcid":"https://orcid.org/0000-0003-4649-482X","contributorId":5455,"corporation":false,"usgs":true,"family":"Erickson","given":"Richard","email":"rerickson@usgs.gov","middleInitial":"A.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866806,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Merkes, Christopher M. 0000-0001-8191-627X cmerkes@usgs.gov","orcid":"https://orcid.org/0000-0001-8191-627X","contributorId":139516,"corporation":false,"usgs":true,"family":"Merkes","given":"Christopher","email":"cmerkes@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":866807,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70240194,"text":"70240194 - 2022 - 40Ar/39Ar geochronology of magmatic-steam alunite from Alunite Ridge and Deer Trail Mountain, Marysvale Volcanic Field, Utah: Timing and duration of miocene hydrothermal activity associated with concealed intrusions","interactions":[],"lastModifiedDate":"2023-02-01T12:49:12.860875","indexId":"70240194","displayToPublicDate":"2022-11-29T06:43:37","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"40Ar/39Ar geochronology of magmatic-steam alunite from Alunite Ridge and Deer Trail Mountain, Marysvale Volcanic Field, Utah: Timing and duration of miocene hydrothermal activity associated with concealed intrusions","docAbstract":"<div class=\"html-p\">Porphyry and epithermal deposits are important sources of base and precious metals. Most actively mined deposits have been exhumed such that ore bodies are relatively close to the surface and are therefore locatable and economic to extract. Identifying and characterizing concealed deposits, particularly more deeply buried porphyry deposits, represents a far greater challenge for mineral exploration, and will become progressively more important as near-surface resources are gradually exhausted over time. We report high-precision<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar dates for coarsely crystalline alunite that precipitated from magmatic steam in open fractures in Oligocene dacitic volcanic rocks, and a SHRIMP<span>&nbsp;</span><sup>206</sup>Pb/<sup>238</sup>U zircon date for one of several rhyolite dikes present at Alunite Ridge and Deer Trail Mountain, Utah. Both the magmatic-steam alunite and rhyolite dikes are related to concealed intrusions. The rhyolite dike yielded an age of 30.72 ± 0.36 Ma, which is older than a commonly cited 27.1 Ma age estimate for the Three Creeks Tuff Member of the Bullion Canyon Volcanics that is cut by the dike.<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar data for samples of magmatic-steam alunite and sericite from six mines and prospects provide evidence for at least two periods of episodic hydrothermal activity at ca. 15.7–15.1 Ma and ca. 14.7–13.8 Ma, with the older and younger pulses of activity recorded at the more eastern and western sites, respectively. These two periods of hydrothermal activity are consistent with previous interpretations that Alunite Ridge and Deer Trail Mountain are underlain by two concealed porphyry stocks.<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar analyses of individual bands in a sample of massive, centimeter-scale banded vein alunite yield indistinguishable ages with a weighted mean of 13.98 ± 0.12 Ma, consistent with a short-lived (≲250 ka) magmatic event with episodic vapor discharge recurring on short timescales (≲36 ka).<span>&nbsp;</span><sup>40</sup>Ar/<sup>39</sup>Ar geochronology of magmatic-steam alunite is a valuable tool to constrain the timing and duration of magmatic hydrothermal activity associated with unexposed intrusions and potentially porphyry deposits, and therefore may be useful in exploration.</div>","language":"English","publisher":"MDPI","doi":"10.3390/min12121533","usgsCitation":"Mercer, C.M., Cosca, M., Hofstra, A.H., Premo, W.R., Rye, R.O., and Landis, G.P., 2022, 40Ar/39Ar geochronology of magmatic-steam alunite from Alunite Ridge and Deer Trail Mountain, Marysvale Volcanic Field, Utah: Timing and duration of miocene hydrothermal activity associated with concealed intrusions: Minerals, v. 12, no. 12, 1533, 25 p., https://doi.org/10.3390/min12121533.","productDescription":"1533, 25 p.","ipdsId":"IP-145097","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":445787,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min12121533","text":"Publisher Index Page"},{"id":435609,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9IF4UZP","text":"USGS data release","linkHelpText":"Argon and SHRIMP-RG Data for Magmatic Steam Alunite, Sericite, and Zircon from Alunite Ridge and Deer Trail Mountain, Marysvale, Utah"},{"id":412528,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.81537822381003,\n              37.89618849576978\n            ],\n            [\n              -111.33716402699213,\n              37.89618849576978\n            ],\n            [\n              -111.33716402699213,\n              39.15103885566745\n            ],\n            [\n              -112.81537822381003,\n              39.15103885566745\n            ],\n            [\n              -112.81537822381003,\n              37.89618849576978\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"12","issue":"12","noUsgsAuthors":false,"publicationDate":"2022-11-29","publicationStatus":"PW","contributors":{"authors":[{"text":"Mercer, Cameron Mark 0000-0003-0534-848X","orcid":"https://orcid.org/0000-0003-0534-848X","contributorId":301880,"corporation":false,"usgs":true,"family":"Mercer","given":"Cameron","email":"","middleInitial":"Mark","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":862926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cosca, M. 0000-0002-0600-7663","orcid":"https://orcid.org/0000-0002-0600-7663","contributorId":107417,"corporation":false,"usgs":true,"family":"Cosca","given":"M.","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":862927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hofstra, Albert H. 0000-0002-2450-1593 ahofstra@usgs.gov","orcid":"https://orcid.org/0000-0002-2450-1593","contributorId":1302,"corporation":false,"usgs":true,"family":"Hofstra","given":"Albert","email":"ahofstra@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":862928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Premo, Wayne R. 0000-0001-9904-4801 wpremo@usgs.gov","orcid":"https://orcid.org/0000-0001-9904-4801","contributorId":1697,"corporation":false,"usgs":true,"family":"Premo","given":"Wayne","email":"wpremo@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":862929,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rye, Robert O.","contributorId":301881,"corporation":false,"usgs":false,"family":"Rye","given":"Robert","email":"","middleInitial":"O.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":false,"id":862930,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Landis, Gary P.","contributorId":301883,"corporation":false,"usgs":false,"family":"Landis","given":"Gary","email":"","middleInitial":"P.","affiliations":[{"id":6676,"text":"USGS (retired)","active":true,"usgs":false}],"preferred":false,"id":862931,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70238551,"text":"70238551 - 2022 - Preliminary evidence of anticoagulant rodenticide exposure in American kestrels (Falco sparverius) in the western United States","interactions":[],"lastModifiedDate":"2022-11-29T13:10:16.252595","indexId":"70238551","displayToPublicDate":"2022-11-28T07:00:54","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2442,"text":"Journal of Raptor Research","active":true,"publicationSubtype":{"id":10}},"title":"Preliminary evidence of anticoagulant rodenticide exposure in American kestrels (Falco sparverius) in the western United States","docAbstract":"<p id=\"ID0EF\" class=\"first\">Although there is extensive evidence of declines in the American Kestrel (<i>Falco sparverius</i>) population across North America, the cause of such declines remains a mystery. One hypothesized driver of decline is anticoagulant rodenticide (AR) exposure, which could potentially cause mortality or reduced fitness. We investigated AR exposure in wild American Kestrels in Utah, USA. We collected and tested for AR residues in liver samples (<i>n</i><span>&nbsp;</span>= 8) from kestrels opportunistically encountered dead and in blood samples (<i>n</i><span>&nbsp;</span>= 71) from live wild kestrels, both nestlings and adults. We found high detection rates in both tissues. Adult kestrels were more likely to exhibit exposure than juveniles sampled in nests. Three-quarters (six of eight) of tested liver samples from adult kestrels exhibited evidence of AR exposure. Additionally, liver samples (<i>n</i><span>&nbsp;</span>= 19) opportunistically collected from seven species of raptors within our study area had detectable levels of AR residues, with seven of eight raptor species evidencing exposure; across all raptors, five ARs were detected in liver samples, with brodifacoum the most prevalent, being found in over half (14 of 27) of samples. Over half (7 of 12) of the blood samples from adult kestrels had detectible levels of ARs, while only one of 59 juvenile nest samples tested positive. The difference in exposure rates between adults and juveniles could indicate differential exposure pathways by age class. Based on these findings, we recommend that ARs be further investigated as a potential cause of kestrel declines. Future research could focus on expanding sampling to provide sufficient sample sizes to test for potential nonlethal effects of AR exposure (e.g., fecundity, nesting success), identifying potential exposure pathways, and developing methods for passive sampling of ARs in excreta.</p>","language":"English","publisher":"BioOne","doi":"10.3356/JRR-22-18","usgsCitation":"Buechley, E.R., Oleyar, D., Watson, J., Bridgeman, J., Volker, S., Goldade, D.A., Swift, C.E., and Rattner, B.A., 2022, Preliminary evidence of anticoagulant rodenticide exposure in American kestrels (Falco sparverius) in the western United States: Journal of Raptor Research, v. 57, no. 2, 11 p., https://doi.org/10.3356/JRR-22-18.","productDescription":"11 p.","ipdsId":"IP-137518","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":409788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Utah","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -112.7171265349214,\n              41.72856999995494\n            ],\n            [\n              -112.7171265349214,\n              39.7315850693289\n            ],\n            [\n              -111.00398688405573,\n              39.7315850693289\n            ],\n            [\n              -111.00398688405573,\n              41.72856999995494\n            ],\n            [\n              -112.7171265349214,\n              41.72856999995494\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"57","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Buechley, Evan R.","contributorId":299452,"corporation":false,"usgs":false,"family":"Buechley","given":"Evan","email":"","middleInitial":"R.","affiliations":[{"id":64849,"text":"Smithsonian Conservaiton Biology Institute","active":true,"usgs":false}],"preferred":false,"id":857836,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Oleyar, Dave","contributorId":299453,"corporation":false,"usgs":false,"family":"Oleyar","given":"Dave","email":"","affiliations":[{"id":35596,"text":"HawkWatch International","active":true,"usgs":false}],"preferred":false,"id":857905,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Watson, Jesse","contributorId":243506,"corporation":false,"usgs":false,"family":"Watson","given":"Jesse","email":"","affiliations":[],"preferred":false,"id":857906,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bridgeman, Jennifer","contributorId":299455,"corporation":false,"usgs":false,"family":"Bridgeman","given":"Jennifer","email":"","affiliations":[{"id":35596,"text":"HawkWatch International","active":true,"usgs":false}],"preferred":false,"id":857907,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Volker, Steven","contributorId":299456,"corporation":false,"usgs":false,"family":"Volker","given":"Steven","affiliations":[{"id":64850,"text":"USDA, APHIS","active":true,"usgs":false}],"preferred":false,"id":857908,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Goldade, David A.","contributorId":299457,"corporation":false,"usgs":false,"family":"Goldade","given":"David","email":"","middleInitial":"A.","affiliations":[{"id":64850,"text":"USDA, APHIS","active":true,"usgs":false}],"preferred":false,"id":857909,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Swift, Catherine E.","contributorId":299495,"corporation":false,"usgs":false,"family":"Swift","given":"Catherine","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":857910,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":857911,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":70238753,"text":"70238753 - 2022 - Ordovician geology of Alaska","interactions":[],"lastModifiedDate":"2022-12-07T12:36:32.458661","indexId":"70238753","displayToPublicDate":"2022-11-28T06:32:58","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1791,"text":"Geological Society, London, Special Publications","active":true,"publicationSubtype":{"id":10}},"title":"Ordovician geology of Alaska","docAbstract":"<div id=\"abstracts\" data-extent=\"frontmatter\"><div class=\"core-container\"><div>Ordovician rocks, found in northern, east-central, interior and southern Alaska, formed in a variety of depositional and palaeogeographic settings. Shallow- and deep-water strata deposited along the northwestern Laurentian margin occur in east-central Alaska (Yukon River area) and probably correlative rocks crop out to the north in the Porcupine River area. Ordovician strata elsewhere in Alaska are parts of continental or island arc fragments that, as indicated by faunal and detrital zircon data, have been variously displaced. In northern Alaska, Ordovician rocks are included in the Arctic Alaska–Chukotka Microplate (AACM), a composite tectonic entity with a complex history. Some Ordovician strata in the AACM (parts of the North Slope subterrane) represent displaced fragments of the northern Laurentian margin. Coeval strata in southwestern parts of the AACM (York and Seward terranes, Hammond subterrane) share distinctive lithologic and biotic features with Ordovician rocks in interior Alaska (Farewell and related terranes). Ordovician strata in southeastern Alaska (Alexander terrane) also likely compose a composite crustal fragment that accumulated in a complex arc system. Shared features between many of these units suggest similar origins as part of one or more crustal fragments situated in the palaeo-Arctic between Laurentia, Baltica and Siberia during early Paleozoic time.</div></div></div>","language":"English","publisher":"Geological Society of London","doi":"10.1144/SP533-2022-39","usgsCitation":"Dumoulin, J.A., Strauss, J.V., and Repetski, J., 2022, Ordovician geology of Alaska: Geological Society, London, Special Publications, v. 533, 16 p., https://doi.org/10.1144/SP533-2022-39.","productDescription":"16 p.","ipdsId":"IP-137822","costCenters":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"links":[{"id":445791,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1144/sp533-2022-39","text":"Publisher Index Page"},{"id":410149,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Growth in mechanisms that provide financial incentives for reducing emissions from land use and land-use change could increase funding for hydrological restoration that reduces peat CO<sub>2</sub><span>&nbsp;</span>emissions from these ecosystems. Measuring soil respiration and physical drivers across a range of site characteristics and land use histories is valuable for understanding how CO<sub>2</sub><span>&nbsp;</span>emissions from peat decomposition may respond to raising water table levels. We combined measurements of total soil respiration, depth to water table from soil surface, and soil temperature from drained and restored peatlands at three locations in eastern North Carolina and one location in southeastern Virginia to investigate relationships among total soil respiration and physical drivers, and to develop models relating total soil respiration to parameters that can be easily measured and monitored in the field.</p>","language":"English","publisher":"Springer Nature","doi":"10.1186/s13021-022-00219-5","usgsCitation":"Swails, E.E., Ardon, M., Krauss, K., Peralta, A., Emmanuel, R.E., Helton, A., Morse, J., Gutenberg, L., Cormier, N., Shoch, D., Settlemyer, S., Soderholm, E., Boutin, B.P., Peoples, C., and Ward, S., 2022, Response of soil respiration to changes in soil temperature and water table level in drained and restored peatlands of the southeastern United States: Carbon Balance and Management, v. 17, 18, 10 p., 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,{"id":70262384,"text":"70262384 - 2022 - Spatial analysis of globally detected volcanic lightning from the June 2019 eruption of Raikoke volcano, Kuril Islands","interactions":[],"lastModifiedDate":"2025-01-16T17:32:29.653596","indexId":"70262384","displayToPublicDate":"2022-11-17T11:25:16","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7593,"text":"Volcanica","active":true,"publicationSubtype":{"id":10}},"title":"Spatial analysis of globally detected volcanic lightning from the June 2019 eruption of Raikoke volcano, Kuril Islands","docAbstract":"<p><span>The 21–22 June 2019 eruption of Raikoke volcano, Russia, provided an opportunity to explore how spatial trends in volcanic&nbsp;lightning locations provide insights into pulsatory eruption dynamics. Using satellite-derived plume heights, we examine the development of lightning detected by Vaisala’s Global Lightning Dataset (GLD360) from eleven, closely spaced eruptive pulses.&nbsp;Results from one-dimensional plume modeling show that the eruptive pulses with maximum heights 9–16.5 km above sea level&nbsp;were capable of producing ice in the upper troposphere, which contributed variably to electrification and volcanic lightning. A&nbsp;key finding is that lightning locations not only followed the main dispersal direction of these ash plumes, but also tracked a&nbsp;lower-level cloud derived from pyroclastic density currents. We show a positive relationship between umbrella cloud expansion&nbsp;and the area over which lightning occurs (the ‘lightning footprint’). These observations suggest useful metrics to characterize&nbsp;ongoing eruptive activity in near real-time.</span></p>","language":"English","publisher":"Presses universitaires de Strasbourg","doi":"10.30909/vol.05.02.385395","usgsCitation":"Smith, C., Van Eaton, A.R., Schneider, D.J., Mastin, L.G., Matoza, R.S., McKee, K., and Maher, S., 2022, Spatial analysis of globally detected volcanic lightning from the June 2019 eruption of Raikoke volcano, Kuril Islands: Volcanica, v. 5, no. 2, p. 385-395, https://doi.org/10.30909/vol.05.02.385395.","productDescription":"11 p.","startPage":"385","endPage":"395","ipdsId":"IP-144250","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":467146,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.30909/vol.05.02.385395","text":"Publisher Index Page"},{"id":466647,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Russia","otherGeospatial":"Kuril Islands, Raikoke volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              153.22845752671452,\n              48.304580250458486\n            ],\n            [\n              153.22845752671452,\n              48.27759609075218\n            ],\n            [\n              153.27313900396035,\n              48.27759609075218\n            ],\n            [\n              153.27313900396035,\n              48.304580250458486\n            ],\n            [\n              153.22845752671452,\n              48.304580250458486\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"5","issue":"2","noUsgsAuthors":false,"publicationDate":"2022-11-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Smith, Cassandra M.","contributorId":349097,"corporation":false,"usgs":false,"family":"Smith","given":"Cassandra M.","affiliations":[{"id":83431,"text":"NSF Postdoc, Alaska Volcano Observatory","active":true,"usgs":false}],"preferred":false,"id":924002,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Eaton, Alexa R. 0000-0001-6646-4594 avaneaton@usgs.gov","orcid":"https://orcid.org/0000-0001-6646-4594","contributorId":184079,"corporation":false,"usgs":true,"family":"Van Eaton","given":"Alexa","email":"avaneaton@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924003,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schneider, David J. 0000-0001-9092-1054 djschneider@usgs.gov","orcid":"https://orcid.org/0000-0001-9092-1054","contributorId":198601,"corporation":false,"usgs":true,"family":"Schneider","given":"David","email":"djschneider@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":924004,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mastin, Larry G. 0000-0002-4795-1992","orcid":"https://orcid.org/0000-0002-4795-1992","contributorId":265985,"corporation":false,"usgs":true,"family":"Mastin","given":"Larry","email":"","middleInitial":"G.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924005,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Matoza, Robin S.","contributorId":257265,"corporation":false,"usgs":false,"family":"Matoza","given":"Robin","email":"","middleInitial":"S.","affiliations":[{"id":36524,"text":"University of California, Santa Barbara","active":true,"usgs":false}],"preferred":false,"id":924006,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"McKee, Kathleen 0000-0003-3189-9189","orcid":"https://orcid.org/0000-0003-3189-9189","contributorId":265977,"corporation":false,"usgs":false,"family":"McKee","given":"Kathleen","email":"","affiliations":[{"id":54848,"text":"Earth and Planets Laboratory, Carnegie Institution for Science, Washington, DC, USA","active":true,"usgs":false}],"preferred":false,"id":924007,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Maher, Sean","contributorId":265979,"corporation":false,"usgs":false,"family":"Maher","given":"Sean","affiliations":[{"id":54850,"text":"Department of Earth Science and Earth Research Institute, University of California, Santa Barbara, Santa Barbara, CA, USA","active":true,"usgs":false}],"preferred":false,"id":924008,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70262035,"text":"70262035 - 2022 - Investigating impacts of small dams and dam removal on dissolved oxygen in streams","interactions":[],"lastModifiedDate":"2025-01-10T18:11:45.778127","indexId":"70262035","displayToPublicDate":"2022-11-17T10:54:08","publicationYear":"2022","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":"Investigating impacts of small dams and dam removal on dissolved oxygen in streams","docAbstract":"<p>Small surface-release dams are prevalent across North American watersheds and can alter stream flow, thermal regimes, nutrient dynamics, and sediment transport. These dams are often implicated as a cause of negative water quality impacts—including reduced dissolved oxygen (DO)—and dam removal is increasingly employed to restore natural stream processes and improve DO. However, published impacts of small dams on DO vary widely across sites, and even less is known about the extent and timescale of DO recovery following removal. Therefore, we sought to quantify the effects of small dams and dam removal on DO and determine the dam, stream, and watershed characteristics driving inter-site variation in responses. We deployed continuous data loggers for 3 weeks during summer months in upstream (reference), impoundment, and downstream reaches at each of 15 dammed sites and collected equivalent data at 10 of those sites following dam removal. Prior to dam removal, most sites (60%) experienced a decrease in DO (an average of 1.15 mg/L lower) within the impoundment relative to upstream, but no consistent impacts on diel ranges or on downstream reaches. Before dam removal, 5 impacted stream reaches experienced minimum DO levels below acceptable water quality standards (&lt;5 mg/L); after dam removal, 4 of 5 of these reaches met DO standards. Sites with wider impoundments relative to upstream widths and sites located in watersheds with more cultivated land experienced the greatest decreases in impoundment DO relative to upstream. Within one year following dam removal, impoundment DO recovered to upstream reference conditions at 80% of sites, with the magnitude of recovery strongly related to the magnitude of pre-removal impacts. These data suggest that broadly, small dams negatively affect stream DO, and the extent of effects are modulated by impoundment geometry and watershed characteristics. These results may help practitioners to prioritize restoration efforts at those sites where small dams are having outsized impacts, and therefore where the greatest water quality benefits may occur.&nbsp;</p>","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0277647","usgsCitation":"Abbott, K., Zaidel, P., Roy, A.H., Houle, K., and Nislow, K., 2022, Investigating impacts of small dams and dam removal on dissolved oxygen in streams: PLoS ONE, v. 17, no. 11, e0277647, 23 p., https://doi.org/10.1371/journal.pone.0277647.","productDescription":"e0277647, 23 p.","ipdsId":"IP-143494","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467147,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0277647","text":"Publisher Index Page"},{"id":466019,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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aroy@usgs.gov","orcid":"https://orcid.org/0000-0002-8080-2729","contributorId":4240,"corporation":false,"usgs":true,"family":"Roy","given":"Allison","email":"aroy@usgs.gov","middleInitial":"H.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":922766,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Houle, Kristopher M.","contributorId":347951,"corporation":false,"usgs":false,"family":"Houle","given":"Kristopher M.","affiliations":[{"id":83272,"text":"Massachusetts Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":922767,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nislow, Keith H.","contributorId":347953,"corporation":false,"usgs":false,"family":"Nislow","given":"Keith H.","affiliations":[{"id":37389,"text":"U.S. Forest Service","active":true,"usgs":false}],"preferred":false,"id":922768,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70256102,"text":"70256102 - 2022 - Evaluate propagation efforts and determine dispersal patterns for Quadrula fragosa from tagged, artificially infested host fish (Ictalurus punctatus) in the St. Croix National Scenic Riverway (SACN)","interactions":[],"lastModifiedDate":"2024-07-30T15:57:07.610115","indexId":"70256102","displayToPublicDate":"2022-11-15T10:48:49","publicationYear":"2022","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":1,"text":"Federal Government Series"},"title":"Evaluate propagation efforts and determine dispersal patterns for Quadrula fragosa from tagged, artificially infested host fish (Ictalurus punctatus) in the St. Croix National Scenic Riverway (SACN)","docAbstract":"<p>The St. Croix National Scenic Riverway (SACN) has been the site of propagation and restoration efforts for two federally endangered unionid mussels: Higgins’ Eye, <i>Lampsilis higginsii</i> and Winged Mapleleaf (WML), <i>Quadrula fragosa. </i>Since about 2000, government agencies have collaboratively developed techniques to successfully propagate Higgins’ Eye and reintroduce the captive-reared subadult mussels into rehabilitated habitats in the upper Mississippi River Basin and several tributaries, including the SACN. However, propagation efforts for the WML have had limited success from 2003 to present. The population of WML in the SACN has high value because it is physically isolated and genetically distinct from four southern populations, and it is the only known self-sustaining population within the upper Mississippi River. Unionids have a complex reproductive cycle that includes a parasitic larval stage (glochidia) that requires species-specific fish hosts. WML are one of the few species that are fall, short-term (~6 weeks) brooders—brooding begins at end of August. In the SACN, Channel Catfish (<i>Ictalurus punctatus</i>) are the only known host for WML and glochidia are assumed to overwinter on their host fish and detach the following spring. Research has shown that holding hatchery reared channel catfish that are infested with WML glochidia in cages, either <i>in situ</i> or in a hatchery, over winter has been a challenge due to high fish mortality; rearing juveniles after transformation has also resulted in high mortality rates and juvenile loss (Wege et al. 2007). The importance of the overwintering parasitic period and the overall health of the host fish for successful transformation of juvenile WML is unknown, but these key criteria could play an important role in successful propagation efforts. This research has three objectives: (1) compile historic data from &gt;14 years of <i>Q.&nbsp;fragosa</i> propagation efforts into a searchable database to identify potential knowledge gaps that could be limiting its success, (2) explore <i>in situ</i> and <i>ex situ</i> propagation techniques to optimize production of <i>Q.&nbsp;fragosa</i> juveniles, and (3) characterize the movement pattern of Channel Catfish that are artificially inoculated with the SACN strain of <i>Q. fragosa </i>to identify potential juvenile release survey locations in future years.</p>","language":"English","publisher":"National Park Service","usgsCitation":"Bartsch, M., 2022, Evaluate propagation efforts and determine dispersal patterns for Quadrula fragosa from tagged, artificially infested host fish (Ictalurus punctatus) in the St. Croix National Scenic Riverway (SACN), 5 p.","productDescription":"5 p.","ipdsId":"IP-137874","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":431293,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://irma.nps.gov/RPRS/IAR/Profile/573106"},{"id":431619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"St. Croix National Scenic Riverway","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -91.81523481710744,\n              46.384142491911746\n            ],\n            [\n              -92.9593012517021,\n              45.83577178783574\n            ],\n            [\n              -92.88228401067886,\n              45.02255043765251\n            ],\n            [\n              -92.63799466266059,\n              45.025139082376654\n            ],\n            [\n              -92.3311370342298,\n              45.680248149277205\n            ],\n            [\n              -91.9556447587581,\n              46.00451688552345\n            ],\n            [\n              -91.73426769125393,\n              46.297290552169756\n            ],\n            [\n              -91.81523481710744,\n              46.384142491911746\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bartsch, Michelle 0000-0002-9571-5564 mbartsch@usgs.gov","orcid":"https://orcid.org/0000-0002-9571-5564","contributorId":3165,"corporation":false,"usgs":true,"family":"Bartsch","given":"Michelle","email":"mbartsch@usgs.gov","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":906707,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70238344,"text":"70238344 - 2022 - Evaluating noninvasive methods for estimating cestode prevalence in a wild carnivore population","interactions":[],"lastModifiedDate":"2022-11-17T13:12:09.830263","indexId":"70238344","displayToPublicDate":"2022-11-15T07:10:07","publicationYear":"2022","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":"Evaluating noninvasive methods for estimating cestode prevalence in a wild carnivore population","docAbstract":"<div class=\"abstract toc-section abstract-type-\"><div class=\"abstract-content\"><p>Helminth infections are cryptic and can be difficult to study in wildlife species. Helminth research in wildlife hosts has historically required invasive animal handling and necropsy, while results from noninvasive parasite research, like scat analysis, may not be possible at the helminth species or individual host levels. To increase the utility of noninvasive sampling, individual hosts can be identified by applying molecular methods. This allows for longitudinal sampling of known hosts and can be paired with individual-level covariates. Here we evaluate a combination of methods and existing long-term monitoring data to identify patterns of cestode infections in gray wolves in Yellowstone National Park. Our goals were: (1) Identify the species and apparent prevalence of cestodes infecting Yellowstone wolves; (2) Assess the relationships between wolf biological and social characteristics and cestode infections; (3) Examine how wolf samples were affected by environmental conditions with respect to the success of individual genotyping. We collected over 200 wolf scats from 2018–2020 and conducted laboratory analyses including individual wolf genotyping, sex identification, cestode identification, and fecal glucocorticoid measurements. Wolf genotyping success rate was 45%, which was higher in the winter but decreased with higher precipitation and as more time elapsed between scat deposit and collection. One cestode species was detected in 28% of all fecal samples, and 38% of known individuals. The most common infection was<span>&nbsp;</span><i>Echinococcus granulosus sensu lato</i><span>&nbsp;</span>(primarily<span>&nbsp;</span><i>E</i>.<span>&nbsp;</span><i>canadensis</i>). Adult wolves had 4x greater odds of having a cestode infection than pups, as well as wolves sampled in the winter. Our methods provide an alternative approach to estimate cestode prevalence and to linking parasites to known individuals in a wild host system, but may be most useful when employed in existing study systems and when field collections are designed to minimize the time between fecal deposition and collection.</p></div></div><div id=\"figure-carousel-section\"><br></div>","language":"English","publisher":"Public Library of Science","doi":"10.1371/journal.pone.0277420","usgsCitation":"Brandell, E.E., Jackson, M., Cross, P., Piaggio, A., Taylor, D.R., Smith, D., Boufana, B., Stahler, D.R., and Hudson, P., 2022, Evaluating noninvasive methods for estimating cestode prevalence in a wild carnivore population: PLoS ONE, v. 17, no. 11, e0277420, 19 p., https://doi.org/10.1371/journal.pone.0277420.","productDescription":"e0277420, 19 p.","ipdsId":"IP-139698","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":445872,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0277420","text":"Publisher Index Page"},{"id":409417,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"17","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-11-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Brandell, E E","contributorId":298527,"corporation":false,"usgs":false,"family":"Brandell","given":"E","email":"","middleInitial":"E","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":857199,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, M.K.","contributorId":299167,"corporation":false,"usgs":false,"family":"Jackson","given":"M.K.","email":"","affiliations":[{"id":37432,"text":"Yellowstone National Park","active":true,"usgs":false}],"preferred":false,"id":857200,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cross, Paul C. 0000-0001-8045-5213","orcid":"https://orcid.org/0000-0001-8045-5213","contributorId":204814,"corporation":false,"usgs":true,"family":"Cross","given":"Paul C.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":857201,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Piaggio, A.J.","contributorId":299168,"corporation":false,"usgs":false,"family":"Piaggio","given":"A.J.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":857202,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Taylor, D. R.","contributorId":299169,"corporation":false,"usgs":false,"family":"Taylor","given":"D.","email":"","middleInitial":"R.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":857203,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Smith, Douglas W.","contributorId":179181,"corporation":false,"usgs":false,"family":"Smith","given":"Douglas W.","affiliations":[],"preferred":false,"id":857204,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Boufana, B","contributorId":299172,"corporation":false,"usgs":false,"family":"Boufana","given":"B","email":"","affiliations":[{"id":64783,"text":"UK National Wildlife Management Centre","active":true,"usgs":false}],"preferred":false,"id":857205,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Stahler, Daniel R.","contributorId":179180,"corporation":false,"usgs":false,"family":"Stahler","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":857206,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hudson, PJ","contributorId":299174,"corporation":false,"usgs":false,"family":"Hudson","given":"PJ","email":"","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":857207,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70238160,"text":"70238160 - 2022 - GCPs free photogrammetry for estimating tree height and crown diameter in Arizona cypress plantation using UAV-Mounted GNSS RTK","interactions":[],"lastModifiedDate":"2022-11-15T12:55:04.571611","indexId":"70238160","displayToPublicDate":"2022-11-12T06:53:06","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1689,"text":"Forests","active":true,"publicationSubtype":{"id":10}},"title":"GCPs free photogrammetry for estimating tree height and crown diameter in Arizona cypress plantation using UAV-Mounted GNSS RTK","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">One of the main challenges of using unmanned aerial vehicles (UAVs) in forest data acquisition is the implementation of Ground Control Points (GCPs) as a mandatory step, which is sometimes impossible for inaccessible areas or within canopy closures. This study aimed to test the accuracy of a UAV-mounted GNSS RTK (real-time kinematic) system for calculating tree height and crown height without any GCPs. The study was conducted on a<span>&nbsp;</span><span class=\"html-italic\">Cupressus arizonica</span><span>&nbsp;</span>(Greene., Arizona cypress) plantation on the Razi University Campus in Kermanshah, Iran. Arizona cypress is commonly planted as an ornamental tree. As it can tolerate harsh conditions, this species is highly appropriate for afforestation and reforestation projects. A total of 107 trees were subjected to field-measured dendrometric measurements (height and crown diameter). UAV data acquisition was performed at three altitudes of 25, 50, and 100 m using a local network RTK system (NRTK). The crown height model (<span class=\"html-italic\">CHM</span>), derived from a digital surface model (<span class=\"html-italic\">DSM</span>), was used to estimate tree height, and an inverse watershed segmentation (IWS) algorithm was used to estimate crown diameter. The results indicated that the means of tree height obtained from field measurements and UAV estimation were not significantly different, except for the mean values calculated at 100 m flight altitude. Additionally, the means of crown diameter reported from field measurements and UAV estimation at all flight altitudes were not statistically different. Root mean square error (<span class=\"html-italic\">RMSE</span><span>&nbsp;</span>&lt; 11%) indicated a reliable estimation at all the flight altitudes for trees height and crown diameter. According to the findings of this study, it was concluded that UAV-RTK imagery can be considered a promising solution, but more work is needed before concluding its effectiveness in inaccessible areas.<span>&nbsp;</span></div>","language":"English","publisher":"MDPI","doi":"10.3390/f13111905","usgsCitation":"Pourreza, M., Moradi, F., Khosravi, M., Deljouei, A., and Vanderhoof, M.K., 2022, GCPs free photogrammetry for estimating tree height and crown diameter in Arizona cypress plantation using UAV-Mounted GNSS RTK: Forests, v. 13, no. 11, 1905, 14 p., https://doi.org/10.3390/f13111905.","productDescription":"1905, 14 p.","ipdsId":"IP-143513","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":445892,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/f13111905","text":"Publisher Index Page"},{"id":409350,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Iran","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[53.9216,37.19892],[54.8003,37.39242],[55.51158,37.96412],[56.18037,37.93513],[56.61937,38.12139],[57.33043,38.02923],[58.43615,37.52231],[59.23476,37.41299],[60.37764,36.52738],[61.12307,36.4916],[61.21082,35.65007],[60.80319,34.4041],[60.52843,33.67645],[60.9637,33.52883],[60.53608,32.98127],[60.86365,32.18292],[60.94194,31.54807],[61.69931,31.37951],[61.78122,30.73585],[60.87425,29.82924],[61.36931,29.30328],[61.77187,28.69933],[62.72783,28.25964],[62.75543,27.37892],[63.2339,27.21705],[63.31663,26.75653],[61.87419,26.23997],[61.49736,25.07824],[59.61613,25.38016],[58.52576,25.60996],[57.39725,25.7399],[56.97077,26.96611],[56.49214,27.1433],[55.72371,26.96463],[54.71509,26.48066],[53.4931,26.81237],[52.4836,27.58085],[51.52076,27.86569],[50.85295,28.81452],[50.11501,30.14777],[49.57685,29.98572],[48.94133,30.31709],[48.56797,29.92678],[48.01457,30.45246],[48.0047,30.98514],[47.68529,30.98485],[47.8492,31.70918],[47.33466,32.46916],[46.10936,33.01729],[45.41669,33.9678],[45.64846,34.74814],[46.15179,35.09326],[46.07634,35.67738],[45.42062,35.97755],[44.77267,37.17045],[44.22576,37.97158],[44.4214,38.28128],[44.10923,39.42814],[44.79399,39.713],[44.95269,39.33576],[45.45772,38.87414],[46.14362,38.7412],[46.50572,38.77061],[47.68508,39.50836],[48.0601,39.58224],[48.35553,39.28876],[48.01074,38.79401],[48.63438,38.27038],[48.88325,38.32025],[49.19961,37.58287],[50.14777,37.37457],[50.84235,36.87281],[52.26402,36.70042],[53.82579,36.96503],[53.9216,37.19892]]]},\"properties\":{\"name\":\"Iran\"}}]}","volume":"13","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-11-12","publicationStatus":"PW","contributors":{"authors":[{"text":"Pourreza, Morteza","contributorId":299071,"corporation":false,"usgs":false,"family":"Pourreza","given":"Morteza","email":"","affiliations":[{"id":64754,"text":"Department of Natural Resources, Razi University","active":true,"usgs":false}],"preferred":false,"id":857016,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Moradi, Fardin","contributorId":299072,"corporation":false,"usgs":false,"family":"Moradi","given":"Fardin","email":"","affiliations":[{"id":64756,"text":"Department of Forestry and Forest Economics, University of Tehran","active":true,"usgs":false}],"preferred":false,"id":857017,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Khosravi, Mohammad","contributorId":299073,"corporation":false,"usgs":false,"family":"Khosravi","given":"Mohammad","email":"","affiliations":[{"id":64754,"text":"Department of Natural Resources, Razi University","active":true,"usgs":false}],"preferred":false,"id":857018,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Deljouei, Azade","contributorId":299074,"corporation":false,"usgs":false,"family":"Deljouei","given":"Azade","email":"","affiliations":[{"id":64758,"text":"School of Forest, Fisheries and Geomatics Sciences, University of Florida","active":true,"usgs":false}],"preferred":false,"id":857019,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vanderhoof, Melanie K. 0000-0002-0101-5533 mvanderhoof@usgs.gov","orcid":"https://orcid.org/0000-0002-0101-5533","contributorId":168395,"corporation":false,"usgs":true,"family":"Vanderhoof","given":"Melanie","email":"mvanderhoof@usgs.gov","middleInitial":"K.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":857020,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70240344,"text":"70240344 - 2022 - Dabbling duck eggs hatch after nest abandonment in the wild","interactions":[],"lastModifiedDate":"2023-02-06T12:50:09.883687","indexId":"70240344","displayToPublicDate":"2022-11-11T06:46:47","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3731,"text":"Waterbirds","onlineIssn":"19385390","printIssn":"15244695","active":true,"publicationSubtype":{"id":10}},"title":"Dabbling duck eggs hatch after nest abandonment in the wild","docAbstract":"<div class=\"div0\"><div class=\"row ArticleContentRow\"><p id=\"ID0EF\" class=\"first\">In most birds, parental incubation of eggs is necessary for embryo development and survival. Using a combination of weekly nest visits, temperature dataloggers, infrared video cameras, and GPS tracking of hens, we documented several instances of duck eggs hatching after being abandoned by the incubating female. Of 2826 Mallard (<i>Anas platyrhynchos</i>) and Gadwall (<i>Mareca strepera</i>) nests monitored 2015–2019 in Suisun Marsh, California, 48 (1.7%) were abandoned during late incubation (≥ 20 days). Of these, we identified six (12.5%) where at least one egg hatched 2–9 days after abandonment. In all six cases, eggshell membranes were found in the nest (indicating hatch), and ducklings were observed at three nests. Abandoned nests were unattended for an average of 5.9 days before eggs hatched; during this time, mean nest temperatures (23.6°C–29.0°C) were substantially lower than before nest abandonment (31.7°C–36.4°C). We estimated that abandonment resulted in a 9% longer time period between clutch completion and hatch (0–4 days longer) and a lower rate of egg hatching success (36%). Our results provide evidence that some older embryos (≥ 20 days) in mild climates can survive without parental incubation for several days and continue to develop (at a reduced rate) to the point of successfully hatching.</p></div></div>","language":"English","publisher":"The Waterbird Society","doi":"10.1675/063.045.0111","usgsCitation":"Schacter, C.R., Fettig, B.L., Peterson, S.H., Hartman, C.A., Herzog, M.P., Casazza, M.L., and Ackerman, J.T., 2022, Dabbling duck eggs hatch after nest abandonment in the wild: Waterbirds, v. 45, no. 1, p. 91-101, https://doi.org/10.1675/063.045.0111.","productDescription":"11 p.","startPage":"91","endPage":"101","ipdsId":"IP-127030","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":412727,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Schacter, Carley Rose 0000-0001-5493-2768","orcid":"https://orcid.org/0000-0001-5493-2768","contributorId":266023,"corporation":false,"usgs":true,"family":"Schacter","given":"Carley","email":"","middleInitial":"Rose","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863505,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fettig, Brady Lynn 0000-0002-3124-2606","orcid":"https://orcid.org/0000-0002-3124-2606","contributorId":302106,"corporation":false,"usgs":true,"family":"Fettig","given":"Brady","email":"","middleInitial":"Lynn","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863506,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Peterson, Sarah H. 0000-0003-2773-3901 sepeterson@usgs.gov","orcid":"https://orcid.org/0000-0003-2773-3901","contributorId":167181,"corporation":false,"usgs":true,"family":"Peterson","given":"Sarah","email":"sepeterson@usgs.gov","middleInitial":"H.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863507,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hartman, C. Alex 0000-0002-7222-1633 chartman@usgs.gov","orcid":"https://orcid.org/0000-0002-7222-1633","contributorId":131157,"corporation":false,"usgs":true,"family":"Hartman","given":"C.","email":"chartman@usgs.gov","middleInitial":"Alex","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863508,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Herzog, Mark P. 0000-0002-5203-2835 mherzog@usgs.gov","orcid":"https://orcid.org/0000-0002-5203-2835","contributorId":131158,"corporation":false,"usgs":true,"family":"Herzog","given":"Mark","email":"mherzog@usgs.gov","middleInitial":"P.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863509,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863593,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ackerman, Joshua T. 0000-0002-3074-8322","orcid":"https://orcid.org/0000-0002-3074-8322","contributorId":202848,"corporation":false,"usgs":true,"family":"Ackerman","given":"Joshua","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":863510,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70238157,"text":"70238157 - 2022 - Brown bear–sea otter interactions along the Katmai coast: Terrestrial and nearshore communities linked by predation","interactions":[],"lastModifiedDate":"2022-11-15T12:46:03.932912","indexId":"70238157","displayToPublicDate":"2022-11-11T06:42:50","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Brown bear–sea otter interactions along the Katmai coast: Terrestrial and nearshore communities linked by predation","docAbstract":"<p class=\"chapter-para\">Sea otters were extirpated throughout much of their range by the maritime fur trade in the 18th and 19th centuries, including the coast of Katmai National Park and Preserve in southcentral Alaska. Brown bears are an important component of the Katmai ecosystem where they are the focus of a thriving ecotourism bear-viewing industry as they forage in sedge meadows and dig clams in the extensive tidal flats that exist there. Sea otters began reoccupying Katmai in the 1970s where their use of intertidal clam resources overlapped that of brown bears. By 2008, the Katmai sea otter population had grown to an estimated 7,000 animals and was likely near carrying capacity; however, in 2006–2015, the age-at-death distribution (AADD) of sea otter carcasses collected at Katmai included a higher-than-expected proportion of prime-age animals compared to most other sea otter populations in Alaska. The unusual AADD warranted scientific investigation, particularly because the Katmai population is part of the Threatened southwest sea otter stock. Brown bears in Katmai are known to prey on marine mammals and sea otters, but depredation rates are unknown; thus, we investigated carnivore predation, especially by brown bears, as a potential explanation for abnormally high prime-age otter mortality. We installed camera traps at two island-based marine mammal haulout sites within Katmai to gather direct evidence that brown bears prey on seals and sea otters. Over a period of two summers, we gathered photo evidence of brown bears making 22 attempts to prey on sea otters of which nine (41%) were successful and 12 attempts to prey on harbor seals of which one (8%) was successful. We also developed a population model based on the AADD to determine if the living population is declining, as suggested by the high proportion of prime-age animals in the AADD. We found that the population trend predicted by the modeled AADDs was contradictory to aerial population surveys that indicated the population was not in steep decline but was consistent with otter predation. Future work should focus on the direct and indirect effects these top-level predators have on each other and the coastal community that connects them.</p>","language":"English","publisher":"Oxford Academic","doi":"10.1093/jmammal/gyac095","usgsCitation":"Monson, D., Taylor, R.L., Hilderbrand, G., Erlenbach, J., Coletti, H., and Bodkin, J.L., 2022, Brown bear–sea otter interactions along the Katmai coast: Terrestrial and nearshore communities linked by predation: Journal of Mammalogy, gyac095, 13 p., https://doi.org/10.1093/jmammal/gyac095.","productDescription":"gyac095, 13 p.","ipdsId":"IP-109601","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":445905,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyac095","text":"Publisher Index Page"},{"id":409348,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Katmai National Park and Preserve","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.9563357076709,\n              59.34074602972433\n            ],\n            [\n              -156.9563357076709,\n              57.706193986474744\n            ],\n            [\n              -153.1440798482959,\n              57.706193986474744\n            ],\n            [\n              -153.1440798482959,\n              59.34074602972433\n            ],\n            [\n              -156.9563357076709,\n              59.34074602972433\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationDate":"2022-11-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Monson, Daniel 0000-0002-4593-5673 dmonson@usgs.gov","orcid":"https://orcid.org/0000-0002-4593-5673","contributorId":196670,"corporation":false,"usgs":true,"family":"Monson","given":"Daniel","email":"dmonson@usgs.gov","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":857010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Taylor, Rebecca L. 0000-0001-8459-7614 rebeccataylor@usgs.gov","orcid":"https://orcid.org/0000-0001-8459-7614","contributorId":5112,"corporation":false,"usgs":true,"family":"Taylor","given":"Rebecca","email":"rebeccataylor@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":857011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hilderbrand, Grant 0000-0002-0051-8315 ghilderbrand@usgs.gov","orcid":"https://orcid.org/0000-0002-0051-8315","contributorId":297939,"corporation":false,"usgs":false,"family":"Hilderbrand","given":"Grant","email":"ghilderbrand@usgs.gov","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":857012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Erlenbach, Joy","contributorId":200750,"corporation":false,"usgs":false,"family":"Erlenbach","given":"Joy","affiliations":[],"preferred":false,"id":857013,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Coletti, Heather","contributorId":258849,"corporation":false,"usgs":false,"family":"Coletti","given":"Heather","affiliations":[{"id":36245,"text":"NPS","active":true,"usgs":false}],"preferred":false,"id":857014,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bodkin, James L. 0000-0003-1641-4438 jbodkin@usgs.gov","orcid":"https://orcid.org/0000-0003-1641-4438","contributorId":748,"corporation":false,"usgs":true,"family":"Bodkin","given":"James","email":"jbodkin@usgs.gov","middleInitial":"L.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":857015,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70254974,"text":"70254974 - 2022 - Factors affecting post-challenge survival of Flavobacterium psychrophilum in susceptible rainbow trout from the literature","interactions":[],"lastModifiedDate":"2024-06-12T00:40:30.572397","indexId":"70254974","displayToPublicDate":"2022-11-10T19:38:45","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9113,"text":"Pathogens","active":true,"publicationSubtype":{"id":10}},"title":"Factors affecting post-challenge survival of Flavobacterium psychrophilum in susceptible rainbow trout from the literature","docAbstract":"<div class=\"html-p\">Infectious bacterial pathogens are a concern for aquaculture as estimates suggest that billions of US dollars are lost annually in aquaculture due to disease. One of the most prevalent salmonid pathogens is the bacterium<span>&nbsp;</span><span class=\"html-italic\">Flavobacterium psychrophilum</span><span>&nbsp;</span>that causes bacterial coldwater disease. We reviewed the published<span>&nbsp;</span><span class=\"html-italic\">F. psychrophilum</span><span>&nbsp;</span>literature and conducted a Bayesian analysis to examine large-scale patterns in rainbow trout (<span class=\"html-italic\">Oncorhynchus mykiss</span>) mortality associated with laboratory challenge. We incorporated factors that were common across a majority of the laboratory exposure studies and these included bacterial dose, culture time, exposure method, bacterial isolate, experimental duration, and fish weight. The comparison showed that injection as the exposure method produced higher mortality than bath immersion, bacterial isolates differed in their effect on mortality, and bacterial dose has an interactive effect with fish weight and exposure method. Our comparison allows for inference on factors affecting rainbow trout mortality due to exposure to<span>&nbsp;</span><span class=\"html-italic\">F. psychrophilum</span><span>&nbsp;</span>and suggests avenues to further optimize research protocols to better reach study goals.</div><div id=\"html-keywords\"><br></div>","language":"English","publisher":"MDPI","doi":"10.3390/pathogens11111318","usgsCitation":"Avila, B., Huyvaert, K., Winkelman, D.L., and Fetherman, E., 2022, Factors affecting post-challenge survival of Flavobacterium psychrophilum in susceptible rainbow trout from the literature: Pathogens, v. 11, no. 11, 1318, 14 p., https://doi.org/10.3390/pathogens11111318.","productDescription":"1318, 14 p.","ipdsId":"IP-136402","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":445909,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/pathogens11111318","text":"Publisher Index Page"},{"id":429938,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"11","issue":"11","noUsgsAuthors":false,"publicationDate":"2022-11-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Avila, Brian W.","contributorId":338191,"corporation":false,"usgs":false,"family":"Avila","given":"Brian W.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":903010,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Huyvaert, Kathryn P.","contributorId":338193,"corporation":false,"usgs":false,"family":"Huyvaert","given":"Kathryn P.","affiliations":[{"id":37380,"text":"Washington State University","active":true,"usgs":false}],"preferred":false,"id":903011,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Winkelman, Dana L. 0000-0002-5247-0114 danaw@usgs.gov","orcid":"https://orcid.org/0000-0002-5247-0114","contributorId":4141,"corporation":false,"usgs":true,"family":"Winkelman","given":"Dana","email":"danaw@usgs.gov","middleInitial":"L.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":903012,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fetherman, Eric R.","contributorId":338197,"corporation":false,"usgs":false,"family":"Fetherman","given":"Eric R.","affiliations":[{"id":39887,"text":"Colorado Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":903013,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70245586,"text":"70245586 - 2022 - Pore systems and organic petrology of cretaceous Mowry and Niobrara source-rock reservoirs, Powder River Basin, Wyoming, USA","interactions":[],"lastModifiedDate":"2023-06-26T11:57:49.23739","indexId":"70245586","displayToPublicDate":"2022-11-09T06:53:28","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Pore systems and organic petrology of cretaceous Mowry and Niobrara source-rock reservoirs, Powder River Basin, Wyoming, USA","docAbstract":"<p id=\"sp0090\"><span>The Powder River Basin (PRB) is a world-class oil province, in large part thanks to contributions from premier source rocks, Cretaceous Mowry and&nbsp;Niobrara shales. Both formations are also unconventional reservoirs. A critical aspect of evaluating production potential and finding sweet spots is the nature of the&nbsp;pore systems&nbsp;in these fine-grained source-rock reservoirs. Variation by stratigraphic interval is important for selecting optimum target zones for horizontal wells. Understanding variation in pore type, size, and connectivity and relationships with&nbsp;</span>mineralogy<span>&nbsp;</span>and fabric help in determining prospectivity in different parts of the basin. Deciphering controls on pore-system development helps predict intervals and locations of optimum reservoir quality.</p><p id=\"sp0095\"><span>Imaging of Niobrara and Mowry samples from a range of&nbsp;thermal maturities&nbsp;provided observations and data on pore systems, organic matter (OM) types and associations with mineralogy and fabric,&nbsp;wettability, and&nbsp;</span>microporosity<span>&nbsp;associated with both diagenetic and detrital clays. Imaging techniques included scanning electron microscopy, organic&nbsp;petrography&nbsp;and correlative scanning electron microscopy, and mapping of mineralogy through energy dispersive spectroscopy.</span></p><p id=\"sp0100\">Mean solid bitumen (BR<sub>o</sub><span>) and&nbsp;vitrinite reflectance&nbsp;(VR</span><sub>o</sub><span>) values indicate all samples are in the oil window with values ranging from 0.52 to 1.15%. Organic fluorescence is prominent in amorphous OM, solid bitumen and some&nbsp;vitrinite&nbsp;in the early oil window. The fluorescence is extinguished at higher thermal maturity. Carbonate pellets (in Niobrara) mainly contain migrated solid bitumen and residual live oil and little or no terrigenous OM (vitrinite and inertinite). However, terrigenous OM is common in siliceous/argillaceous laminae in both formations, where it occurs with amorphous OM, some of which has converted in situ to a solid bitumen petroleum residue.</span></p><p id=\"sp0105\">One key finding is the widespread presence of migrated OM at very early oil window maturity. Distribution of such OM and associated wettability alteration is fabric-controlled, at all levels of thermal maturity studied. Clay morphology and abundance and supporting rigid mineral grain framework strongly influence pore development, preservation, and connectivity in both formations.<span>&nbsp;</span>Carbonate content<span>&nbsp;is a good proxy for reservoir quality in Niobrara intervals due to association of porous solid bitumen with calcareous&nbsp;fecal pellets. High recrystallized microquartz content is associated with the best reservoir intervals in the Mowry.</span></p>","language":"English","publisher":"Elsesvier","doi":"10.1016/j.coal.2022.104134","usgsCitation":"Olson, T., Michalchuk, B., Hackley, P.C., Valentine, B.J., Parker, J., and San Martin, R., 2022, Pore systems and organic petrology of cretaceous Mowry and Niobrara source-rock reservoirs, Powder River Basin, Wyoming, USA: International Journal of Coal Geology, v. 264, 104134, 13 p., https://doi.org/10.1016/j.coal.2022.104134.","productDescription":"104134, 13 p.","ipdsId":"IP-142426","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true}],"links":[{"id":418454,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wyoming","otherGeospatial":"Powder River Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -106.22939078183438,\n              45.01127679602621\n            ],\n            [\n              -106.22939078183438,\n              42.73172365239171\n            ],\n            [\n              -104.01110426262045,\n              42.73172365239171\n            ],\n            [\n              -104.01110426262045,\n              45.01127679602621\n            ],\n            [\n              -106.22939078183438,\n              45.01127679602621\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"264","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Olson, Terri","contributorId":312451,"corporation":false,"usgs":false,"family":"Olson","given":"Terri","email":"","affiliations":[{"id":67672,"text":"Digital Rock Petrophysics LLC","active":true,"usgs":false}],"preferred":false,"id":876154,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Michalchuk, Brad","contributorId":312452,"corporation":false,"usgs":false,"family":"Michalchuk","given":"Brad","email":"","affiliations":[{"id":67673,"text":"Anschutz Exploration and Production","active":true,"usgs":false}],"preferred":false,"id":876155,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":876156,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":876157,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Parker, Jason","contributorId":312453,"corporation":false,"usgs":false,"family":"Parker","given":"Jason","email":"","affiliations":[{"id":67675,"text":"FIB-X","active":true,"usgs":false}],"preferred":false,"id":876158,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"San Martin, Ricardo","contributorId":312454,"corporation":false,"usgs":false,"family":"San Martin","given":"Ricardo","email":"","affiliations":[{"id":67675,"text":"FIB-X","active":true,"usgs":false}],"preferred":false,"id":876159,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70242697,"text":"70242697 - 2022 - Stream corridor and upland sources of fluvial sediment and phosphorus from a mixed urban-agricultural tributary to the Great Lakes","interactions":[],"lastModifiedDate":"2023-04-13T12:18:36.893973","indexId":"70242697","displayToPublicDate":"2022-11-06T07:13:22","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Stream corridor and upland sources of fluvial sediment and phosphorus from a mixed urban-agricultural tributary to the Great Lakes","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-gulliver text-s\"><div id=\"ab005\" class=\"abstract author\"><div id=\"as005\"><p id=\"sp0005\">Like many impaired Great Lakes tributaries, Apple Creek, Wisconsin (119&nbsp;km<sup>2</sup><span>) has Total Maximum Daily Load (TMDL) targets for reducing&nbsp;suspended sediment&nbsp;and total phosphorus by 51.2&nbsp;% and 64.2&nbsp;%, respectively. From August 2017 - October 2018, a stream&nbsp;sediment budget&nbsp;and fingerprinting integrated study was conducted to quantify upland and stream corridor sources of suspended sediment and sediment-bound phosphorus. Phosphorus concentrations varied among source groups and fluvial sediments, with higher concentrations among suspended sediment and cropland soils. Eroding streambanks identified in the stream corridor sediment budget accounted for 100&nbsp;% of the TMDL Soil and Water Assessment Tool (SWAT) suspended sediment load but only 20&nbsp;% of the total phosphorus load. Fine-grained streambed sediment equated to approximately-three years of modeled suspended sediment load but only one third of total phosphorus load. The two primary sources of fine-grained streambed sediment were streambanks and cropland, with relative streambank contributions increasing with downstream direction and watershed area. The relative proportion of suspended sediment varied by season and&nbsp;streamflow; however, cropland and streambank erosion accounted for 54&nbsp;% and 23&nbsp;% of the suspended sediment when weighted by of the proportion for representative streamflow. Urban land was a source in the upper watershed, but the signature was sequestered by a mid-watershed detention basin. Contributions from construction sites were higher in the fall 2018, likely corresponding to increased activity following a wet spring. These integrated techniques helped describe sources, transport, and sinks of fluvial sediment and phosphorus throughout the watershed at a range of spatial and temporal scales.</span></p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jglr.2022.08.024","usgsCitation":"Blount, J.D., Kammel, L., and Fitzpatrick, F., 2022, Stream corridor and upland sources of fluvial sediment and phosphorus from a mixed urban-agricultural tributary to the Great Lakes: Journal of Great Lakes Research, v. 48, no. 6, p. 1536-1549, https://doi.org/10.1016/j.jglr.2022.08.024.","productDescription":"14 p.","startPage":"1536","endPage":"1549","ipdsId":"IP-130233","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":494972,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P13USQVX","text":"USGS data release","linkHelpText":"Chemical and Physical Data for Streambed Sediment-Source Fingerprinting in the Apple Creek Watershed, Outagamie County, Wisconsin, 2017-2018"},{"id":445940,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jglr.2022.08.024","text":"Publisher Index Page"},{"id":435626,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9F8QS08","text":"USGS data release","linkHelpText":"Apple Creek Rapid Geomorphic Assessment, Outagamie County, Wisconsin"},{"id":415706,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Appleton","otherGeospatial":"Apple Creek basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.4047337275233,\n              44.361963714867386\n            ],\n            [\n              -88.4047337275233,\n              44.245437009909836\n            ],\n            [\n              -88.17063678311628,\n              44.245437009909836\n            ],\n            [\n              -88.17063678311628,\n              44.361963714867386\n            ],\n            [\n              -88.4047337275233,\n              44.361963714867386\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"48","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Blount, James D. 0000-0002-0006-3947 jblount@usgs.gov","orcid":"https://orcid.org/0000-0002-0006-3947","contributorId":200231,"corporation":false,"usgs":true,"family":"Blount","given":"James","email":"jblount@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":869395,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kammel, Leah 0000-0003-4613-0858","orcid":"https://orcid.org/0000-0003-4613-0858","contributorId":211840,"corporation":false,"usgs":true,"family":"Kammel","given":"Leah","email":"","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":869396,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fitzpatrick, Faith 0000-0002-9748-7075","orcid":"https://orcid.org/0000-0002-9748-7075","contributorId":209540,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":869397,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70237988,"text":"70237988 - 2022 - Observed and forecasted changes in land use by polar bears in the Beaufort and Chukchi Seas, 1985–2040","interactions":[],"lastModifiedDate":"2022-11-16T17:25:45.53204","indexId":"70237988","displayToPublicDate":"2022-10-31T06:52:33","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3871,"text":"Global Ecology and Conservation","active":true,"publicationSubtype":{"id":10}},"title":"Observed and forecasted changes in land use by polar bears in the Beaufort and Chukchi Seas, 1985–2040","docAbstract":"<div id=\"abstracts\" class=\"Abstracts u-font-serif\"><div id=\"ab0005\" class=\"abstract author\"><div id=\"abs0005\"><p id=\"sp0070\">Monitoring changes in the distribution of large carnivores is important for managing human safety and supporting conservation. Throughout much of their range, polar bears (<i>Ursus maritimus</i>) are increasingly using terrestrial habitats in response to Arctic sea ice decline. Their increased presence in coastal areas has implications for bear-human conflict, inter-species interactions, and polar bear health and survival. We examined observed trends in land use over three decades by polar bears in the southern Beaufort Sea (SB) and Chukchi Sea (CS) where bears have traditionally spent most of the year on the sea ice. Using data from 408 adult females fitted with satellite radio-collars, we examined trends in the annual proportion of bears coming onshore (hereafter referred to as “percent of bears”) during the summer for ≥21 days, arrival and departure dates, duration spent onshore and relationships with sea ice metrics. We then estimated future land use through 2040 by extrapolating trends and by combining observed relationships between land use and sea ice with projections of future sea ice from an ensemble of earth system models. The observed percent of bears summering onshore and their duration onshore was correlated with the percent of open water that occurred within their population’s range between July and October. As sea ice declined, the percent of bears summering onshore increased from ~5 to 30% in the SB and ~10 to 50% in the CS and duration onshore increased by &gt;30 days to 60–70 days in both populations. Using a range of greenhouse gas emission scenarios and adjustments for faster than forecasted sea ice loss we estimated that 50-62% of SB and 79-88% of CS bears will spend 90–108 and 110–126 days onshore during summer in the SB and CS, respectively, by 2040. Sea ice projections varied little between greenhouse gas emission scenarios prior to 2040 but diverged thereafter. Observed and forecasted increases in polar bear land occupancy puts more bears in proximity to human activities and settlements for longer durations while extending the lack of access to their primary prey. Because human conflict is one of the primary factors affecting the conservation of large carnivores worldwide, mitigation of bear-human interactions on land will be an increasingly important component of polar bear conservation.</p></div></div></div>","language":"English","publisher":"Elsevier","doi":"10.1016/j.gecco.2022.e02319","usgsCitation":"Rode, K.D., Douglas, D.C., Atwood, T.C., Durner, G.M., Wilson, R., and Pagano, A.M., 2022, Observed and forecasted changes in land use by polar bears in the Beaufort and Chukchi Seas, 1985–2040: Global Ecology and Conservation, v. 40, e02319, 21 p., https://doi.org/10.1016/j.gecco.2022.e02319.","productDescription":"e02319, 21 p.","ipdsId":"IP-144828","costCenters":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"links":[{"id":445984,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.gecco.2022.e02319","text":"Publisher Index Page"},{"id":435636,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XEOBWV","text":"USGS data release","linkHelpText":"Polar Bear Continuous Time-Correlated Random Walk (CTCRW) Location Data Derived from Satellite Location Data, Chukchi and Beaufort Seas, July-November 1985-2017"},{"id":409057,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Russia, United States","state":"Alaska","otherGeospatial":"Beaufort Sea, Chukchi Sea","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              179.9,\n              80\n            ],\n            [\n              158.6872334047083,\n              80\n            ],\n            [\n              158.6872334047083,\n              54\n            ],\n            [\n              179.9,\n              54\n            ],\n            [\n              179.9,\n              80\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -103.5651724337921,\n              80\n            ],\n            [\n              -179.9,\n              80\n            ],\n            [\n              -179.9,\n              65\n            ],\n            [\n              -103.5651724337921,\n              65\n            ],\n            [\n              -103.5651724337921,\n              80\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -160,\n              65\n            ],\n            [\n              -179.9,\n              65\n            ],\n            [\n              -179.9,\n              54\n            ],\n            [\n              -160,\n              54\n            ],\n            [\n              -160,\n              65\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"40","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Rode, Karyn D. 0000-0002-3328-8202 krode@usgs.gov","orcid":"https://orcid.org/0000-0002-3328-8202","contributorId":5053,"corporation":false,"usgs":true,"family":"Rode","given":"Karyn","email":"krode@usgs.gov","middleInitial":"D.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":856441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Douglas, David C. 0000-0003-0186-1104 ddouglas@usgs.gov","orcid":"https://orcid.org/0000-0003-0186-1104","contributorId":2388,"corporation":false,"usgs":true,"family":"Douglas","given":"David","email":"ddouglas@usgs.gov","middleInitial":"C.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":856442,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Atwood, Todd C. 0000-0002-1971-3110 tatwood@usgs.gov","orcid":"https://orcid.org/0000-0002-1971-3110","contributorId":4368,"corporation":false,"usgs":true,"family":"Atwood","given":"Todd","email":"tatwood@usgs.gov","middleInitial":"C.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":856443,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Durner, George M. 0000-0002-3370-1191 gdurner@usgs.gov","orcid":"https://orcid.org/0000-0002-3370-1191","contributorId":3576,"corporation":false,"usgs":true,"family":"Durner","given":"George","email":"gdurner@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":856444,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wilson, Ryan R. ","contributorId":222456,"corporation":false,"usgs":false,"family":"Wilson","given":"Ryan R. ","affiliations":[{"id":6654,"text":"USFWS","active":true,"usgs":false}],"preferred":false,"id":856445,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pagano, Anthony M. 0000-0003-2176-0909 apagano@usgs.gov","orcid":"https://orcid.org/0000-0003-2176-0909","contributorId":3884,"corporation":false,"usgs":true,"family":"Pagano","given":"Anthony","email":"apagano@usgs.gov","middleInitial":"M.","affiliations":[{"id":116,"text":"Alaska Science Center Biology MFEB","active":true,"usgs":true}],"preferred":true,"id":856446,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70241063,"text":"70241063 - 2022 - Multi-hazard risk analysis for the U.S. Department of the Interior: An integration of expert elicitation, planning priorities, and geospatial analysis","interactions":[],"lastModifiedDate":"2023-03-08T15:37:45.932866","indexId":"70241063","displayToPublicDate":"2022-10-29T09:32:24","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2036,"text":"International Journal of Disaster Risk Reduction","active":true,"publicationSubtype":{"id":10}},"title":"Multi-hazard risk analysis for the U.S. Department of the Interior: An integration of expert elicitation, planning priorities, and geospatial analysis","docAbstract":"<p><span>An integral part of disaster risk management is identifying and prioritizing hazards and their potential impacts in a meaningful way to support risk-reduction planning. There has been considerable use and subsequent criticism of threat prioritization efforts that simply compare likelihoods and consequences of plausible threats. This article summarizes a new mixed-methods and scalable approach for prioritizing risks in a multi-hazard, multi-objective, and multi-criteria organizational context. This approach integrates (1) hazard characterizations using subject-matter-expert (SME) elicitation, (2) expressed preferences in planning priorities provided by emergency managers, and (3) quantitative estimates of asset exposure to hazards using geospatial data and geographic-information-systems (GIS) software. We demonstrate this approach with a case study designed to support multi-hazard mitigation and response planning done by the U.S. Department of the Interior (DOI) Office of Emergency Management, which required a national understanding of the risks posed by 75 natural, technological, and adversarial hazards to DOI managed and administered lands, facilities, people, revenues, and resources. Results demonstrate that hazard priorities vary depending on the asset, scale, and risk-management context, thereby making the case that “one-size-fits-all” hazard rankings have limited utility or relevance to real-world, risk mitigation and response planning. Our results suggest that recognizing the risk-management context provides greater transparency, flexibility, and relevance in comparing threats than traditional likelihood-threat matrices or the use of hazard SMEs to decide for planners which hazard scenarios are emphasized in risk planning.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.ijdrr.2022.103385","usgsCitation":"Wood, N.J., Pennaz, A., Marineau, J., Jones, J.M., Jones, J., Ng, P., and Henry, K., 2022, Multi-hazard risk analysis for the U.S. Department of the Interior: An integration of expert elicitation, planning priorities, and geospatial analysis: International Journal of Disaster Risk Reduction, v. 82, 103385, 15 p., https://doi.org/10.1016/j.ijdrr.2022.103385.","productDescription":"103385, 15 p.","ipdsId":"IP-142283","costCenters":[{"id":459,"text":"Natural Hazards Mission Area","active":false,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":445992,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.ijdrr.2022.103385","text":"Publisher Index Page"},{"id":435637,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9RKTXCT","text":"USGS data release","linkHelpText":"Threat prioritization framework and input data for a multi-hazard risk analysis for the U.S. Department of the Interior"},{"id":413865,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":413841,"rank":1,"type":{"id":30,"text":"Data Release"},"url":"https://www.sciencebase.gov/catalog/item/632254d1d34e71c6d67ab690"}],"volume":"82","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wood, Nathan J. 0000-0002-6060-9729 nwood@usgs.gov","orcid":"https://orcid.org/0000-0002-6060-9729","contributorId":3347,"corporation":false,"usgs":true,"family":"Wood","given":"Nathan","email":"nwood@usgs.gov","middleInitial":"J.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":865923,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Pennaz, Alice 0000-0002-7336-2761","orcid":"https://orcid.org/0000-0002-7336-2761","contributorId":205792,"corporation":false,"usgs":true,"family":"Pennaz","given":"Alice","email":"","affiliations":[{"id":508,"text":"Office of the AD Hazards","active":true,"usgs":true}],"preferred":true,"id":865924,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Marineau, Jason","contributorId":213192,"corporation":false,"usgs":false,"family":"Marineau","given":"Jason","email":"","affiliations":[{"id":38714,"text":"Department of Interior Office of Emergency Management","active":true,"usgs":false}],"preferred":false,"id":865925,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jones, Jeanne M. 0000-0001-7549-9270 jmjones@usgs.gov","orcid":"https://orcid.org/0000-0001-7549-9270","contributorId":4676,"corporation":false,"usgs":true,"family":"Jones","given":"Jeanne","email":"jmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":865926,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jones, Jamie 0000-0002-9967-3314 jamiejones@usgs.gov","orcid":"https://orcid.org/0000-0002-9967-3314","contributorId":204514,"corporation":false,"usgs":true,"family":"Jones","given":"Jamie","email":"jamiejones@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":865927,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Ng, Peter 0000-0001-8509-5544 png@usgs.gov","orcid":"https://orcid.org/0000-0001-8509-5544","contributorId":3317,"corporation":false,"usgs":true,"family":"Ng","given":"Peter","email":"png@usgs.gov","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":865928,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Henry, Kevin 0000-0001-9314-2531 khenry@usgs.gov","orcid":"https://orcid.org/0000-0001-9314-2531","contributorId":176934,"corporation":false,"usgs":true,"family":"Henry","given":"Kevin","email":"khenry@usgs.gov","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":865929,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70237870,"text":"70237870 - 2022 - Mangroves provide blue carbon ecological value at a low freshwater cost","interactions":[],"lastModifiedDate":"2022-10-28T14:42:23.68563","indexId":"70237870","displayToPublicDate":"2022-10-28T09:42:16","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3358,"text":"Scientific Reports","active":true,"publicationSubtype":{"id":10}},"title":"Mangroves provide blue carbon ecological value at a low freshwater cost","docAbstract":"<p><span>“Blue carbon” wetland vegetation has a limited freshwater requirement. One type, mangroves, utilizes less freshwater during transpiration than adjacent terrestrial ecoregions, equating to only 43% (average) to 57% (potential) of evapotranspiration (</span><i><strong><span class=\"mathjax-tex\"><span id=\"MathJax-Element-1-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>E</mi><mi>T</mi></math>\"><span id=\"MathJax-Span-1\" class=\"math\"><span id=\"MathJax-Span-2\" class=\"mrow\"><span id=\"MathJax-Span-3\" class=\"mi\">E</span><span id=\"MathJax-Span-4\" class=\"mi\">T</span></span></span></span></span></strong></i><span>). Here, we demonstrate that comparative consumptive water use by mangrove vegetation is as much as 2905&nbsp;kL&nbsp;H</span><sub>2</sub><span>O&nbsp;ha</span><sup>−1</sup><span>&nbsp;year</span><sup>−1</sup><span>&nbsp;less than adjacent ecoregions with&nbsp;</span><strong><i><span class=\"mathjax-tex\"><span id=\"MathJax-Element-2-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub><mrow class=&quot;MJX-TeXAtom-ORD&quot;><mi>E</mi></mrow><mrow class=&quot;MJX-TeXAtom-ORD&quot;><mi>c</mi></mrow></msub></math>\"><span id=\"MathJax-Span-5\" class=\"math\"><span id=\"MathJax-Span-6\" class=\"mrow\"><span id=\"MathJax-Span-7\" class=\"msubsup\"><span id=\"MathJax-Span-8\" class=\"texatom\"><span id=\"MathJax-Span-9\" class=\"mrow\"><span id=\"MathJax-Span-10\" class=\"mi\">E</span></span></span><sub><span id=\"MathJax-Span-11\" class=\"texatom\"><span id=\"MathJax-Span-12\" class=\"mrow\"><span id=\"MathJax-Span-13\" class=\"mi\">c</span></span></span></sub></span></span></span></span></span></i></strong><span>-to-</span><strong><i><span class=\"mathjax-tex\"><span id=\"MathJax-Element-3-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>E</mi><mi>T</mi></math>\"><span id=\"MathJax-Span-14\" class=\"math\"><span id=\"MathJax-Span-15\" class=\"mrow\"><span id=\"MathJax-Span-16\" class=\"mi\">E</span><span id=\"MathJax-Span-17\" class=\"mi\">T</span></span></span></span></span></i></strong><span>&nbsp;ratios of 47–70%. Lower porewater salinity would, however, increase mangrove&nbsp;</span><strong><i><span class=\"mathjax-tex\"><span id=\"MathJax-Element-4-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><msub><mrow class=&quot;MJX-TeXAtom-ORD&quot;><mi>E</mi></mrow><mrow class=&quot;MJX-TeXAtom-ORD&quot;><mi>c</mi></mrow></msub></math>\"><span id=\"MathJax-Span-18\" class=\"math\"><span id=\"MathJax-Span-19\" class=\"mrow\"><span id=\"MathJax-Span-20\" class=\"msubsup\"><span id=\"MathJax-Span-21\" class=\"texatom\"><span id=\"MathJax-Span-22\" class=\"mrow\"><span id=\"MathJax-Span-23\" class=\"mi\">E</span></span></span><sub><span id=\"MathJax-Span-24\" class=\"texatom\"><span id=\"MathJax-Span-25\" class=\"mrow\"><span id=\"MathJax-Span-26\" class=\"mi\">c</span></span></span></sub></span></span></span></span></span></i></strong><span>-to-</span><strong><i><span class=\"mathjax-tex\"><span id=\"MathJax-Element-5-Frame\" class=\"MathJax\" data-mathml=\"<math xmlns=&quot;http://www.w3.org/1998/Math/MathML&quot;><mi>E</mi><mi>T</mi></math>\"><span id=\"MathJax-Span-27\" class=\"math\"><span id=\"MathJax-Span-28\" class=\"mrow\"><span id=\"MathJax-Span-29\" class=\"mi\">E</span><span id=\"MathJax-Span-30\" class=\"mi\">T</span></span></span></span></span></i></strong><span>&nbsp;ratios by affecting leaf-, tree-, and stand-level eco-physiological controls on transpiration. Restricted water use is also additive to other ecosystem services provided by mangroves, such as high carbon sequestration, coastal protection and support of biodiversity within estuarine and marine environments. Low freshwater demand enables mangroves to sustain ecological values of connected estuarine ecosystems with future reductions in freshwater while not competing with the freshwater needs of humans. Conservative water use may also be a characteristic of other emergent blue carbon wetlands.</span></p>","language":"English","publisher":"Springer Nature","doi":"10.1038/s41598-022-21514-8","usgsCitation":"Krauss, K., Lovelock, C.E., Chen, L., Berger, U., Ball, M.C., Reef, R., Peters, R., Bowen, H., Vovides, A.G., Ward, E., Wimmler, M., Carr, J., Bunting, P., and Duberstein, J., 2022, Mangroves provide blue carbon ecological value at a low freshwater cost: Scientific Reports, v. 12, 17636, 12 p., https://doi.org/10.1038/s41598-022-21514-8.","productDescription":"17636, 12 p.","ipdsId":"IP-127981","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":445994,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41598-022-21514-8","text":"Publisher Index Page"},{"id":408859,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2022-10-21","publicationStatus":"PW","contributors":{"authors":[{"text":"Krauss, Ken 0000-0003-2195-0729","orcid":"https://orcid.org/0000-0003-2195-0729","contributorId":223022,"corporation":false,"usgs":true,"family":"Krauss","given":"Ken","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":856020,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lovelock, Catherine E.","contributorId":215562,"corporation":false,"usgs":false,"family":"Lovelock","given":"Catherine","email":"","middleInitial":"E.","affiliations":[{"id":39280,"text":"School of Biological Sciences, The University of Queensland","active":true,"usgs":false}],"preferred":false,"id":856021,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Chen, Luzhen","contributorId":194706,"corporation":false,"usgs":false,"family":"Chen","given":"Luzhen","email":"","affiliations":[],"preferred":false,"id":856022,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Berger, Uta","contributorId":224016,"corporation":false,"usgs":false,"family":"Berger","given":"Uta","affiliations":[{"id":40811,"text":"TU Dresden, Institute of Forest Growth and Computer Science, Germany","active":true,"usgs":false}],"preferred":false,"id":856023,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ball, Marilyn C.","contributorId":298613,"corporation":false,"usgs":false,"family":"Ball","given":"Marilyn","email":"","middleInitial":"C.","affiliations":[{"id":38167,"text":"The Australian National University, Australia","active":true,"usgs":false}],"preferred":false,"id":856024,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Reef, Ruth","contributorId":298614,"corporation":false,"usgs":false,"family":"Reef","given":"Ruth","affiliations":[{"id":64623,"text":"Monash University, Australia","active":true,"usgs":false}],"preferred":false,"id":856025,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Peters, Ronny","contributorId":298615,"corporation":false,"usgs":false,"family":"Peters","given":"Ronny","email":"","affiliations":[{"id":64624,"text":"Technische Universitat Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":856026,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bowen, Hannah","contributorId":298616,"corporation":false,"usgs":false,"family":"Bowen","given":"Hannah","email":"","affiliations":[{"id":64625,"text":"Instituto de Ecologia AC, Mexico","active":true,"usgs":false}],"preferred":false,"id":856027,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Vovides, Alejandra G.","contributorId":298617,"corporation":false,"usgs":false,"family":"Vovides","given":"Alejandra","email":"","middleInitial":"G.","affiliations":[{"id":64626,"text":"University of Glasgow, UK","active":true,"usgs":false}],"preferred":false,"id":856028,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Ward, Eric 0000-0002-5047-5464","orcid":"https://orcid.org/0000-0002-5047-5464","contributorId":218962,"corporation":false,"usgs":true,"family":"Ward","given":"Eric","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":856029,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Wimmler, Marie-Christin","contributorId":298618,"corporation":false,"usgs":false,"family":"Wimmler","given":"Marie-Christin","email":"","affiliations":[{"id":64624,"text":"Technische Universitat Dresden, Germany","active":true,"usgs":false}],"preferred":false,"id":856030,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Carr, Joel A. 0000-0002-9164-4156 jcarr@usgs.gov","orcid":"https://orcid.org/0000-0002-9164-4156","contributorId":168645,"corporation":false,"usgs":true,"family":"Carr","given":"Joel A.","email":"jcarr@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":856031,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Bunting, Pete","contributorId":239895,"corporation":false,"usgs":false,"family":"Bunting","given":"Pete","email":"","affiliations":[{"id":48034,"text":"Department of Geography and Earth Sciences, Aberystwyth University, Aberystwyth, Wales, United Kingdom","active":true,"usgs":false}],"preferred":false,"id":856032,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Duberstein, Jamie A.","contributorId":91007,"corporation":false,"usgs":false,"family":"Duberstein","given":"Jamie A.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":856033,"contributorType":{"id":1,"text":"Authors"},"rank":14}]}}
,{"id":70238040,"text":"70238040 - 2022 - Landsat 9 cross calibration under-fly of Landsat 8: Planning, and execution","interactions":[],"lastModifiedDate":"2022-11-04T12:18:22.038051","indexId":"70238040","displayToPublicDate":"2022-10-28T07:16:12","publicationYear":"2022","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":"Landsat 9 cross calibration under-fly of Landsat 8: Planning, and execution","docAbstract":"<div class=\"art-abstract in-tab hypothesis_container\">During the early post-launch phase of the Landsat 9 mission, the Landsat 8 and 9 mission teams conducted a successful under-fly of Landsat 8 by Landsat 9, allowing for the near-simultaneous data collection of common Earth targets by the on-board sensors for cross-calibration. This effort, coordinated by the Landsat Calibration and Validation team, required contributions from various entities across National Aeronautics and Space Administration and U.S. Geological Survey such as Flight Dynamics, Systems, Mission Planning, and Flight Operations teams, beginning about 18 months prior to launch. Plans existed to allow this under-fly for any possible launch date of Landsat 9. This included 16 ascent plans and 16 data acquisition plans, one for every day of the Landsat orbital repeat period, with a minimum of 5 days of useful coverage overlap between the sensors. After the Landsat 9 launch, the plan executed, and led to the acquisition of over 2000 partial to full overlapping scene pairs. Although containing less than the expected number of scenes, this dataset was larger than previous Landsat mission under-fly efforts and more than sufficient for performing cross-calibration of the Landsat 8 and Landsat 9 sensors. The details of the planning process and execution of this under-fly are presented.<span>&nbsp;</span></div>","language":"English","publisher":"MDPI","doi":"10.3390/rs14215414","usgsCitation":"Kaita, E., Markham, B., Haque, M., Dichmann, D., Gerace, A., Leigh, L., Good, S., Schmidt, M., and Crawford, C., 2022, Landsat 9 cross calibration under-fly of Landsat 8: Planning, and execution: Remote Sensing, v. 14, no. 21, 5414, 15 p., https://doi.org/10.3390/rs14215414.","productDescription":"5414, 15 p.","ipdsId":"IP-144331","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":446006,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/rs14215414","text":"Publisher Index Page"},{"id":409159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"14","issue":"21","noUsgsAuthors":false,"publicationDate":"2022-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Kaita, Edward","contributorId":298903,"corporation":false,"usgs":false,"family":"Kaita","given":"Edward","email":"","affiliations":[{"id":64728,"text":"Science Systems Applications Inc@NASA GSFC, Code 618, Greenbelt MD, 20771","active":true,"usgs":false}],"preferred":false,"id":856674,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Markham, Brian 0000-0002-9612-8169","orcid":"https://orcid.org/0000-0002-9612-8169","contributorId":139286,"corporation":false,"usgs":false,"family":"Markham","given":"Brian","affiliations":[{"id":12721,"text":"NASA GSFC SSAI","active":true,"usgs":false}],"preferred":false,"id":856675,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haque, Md Obaidul","contributorId":298904,"corporation":false,"usgs":false,"family":"Haque","given":"Md Obaidul","affiliations":[{"id":64729,"text":"KBR, Contractor to the U.S. Geological Survey Earth Resources Observation and Science Center, Sioux Falls, SD, 57198","active":true,"usgs":false}],"preferred":false,"id":856676,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dichmann, Donald","contributorId":298905,"corporation":false,"usgs":false,"family":"Dichmann","given":"Donald","email":"","affiliations":[{"id":64730,"text":"NASA GSFC, Code 595, Greenbelt MD, 20771","active":true,"usgs":false}],"preferred":false,"id":856677,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gerace, Aaron","contributorId":199173,"corporation":false,"usgs":false,"family":"Gerace","given":"Aaron","email":"","affiliations":[],"preferred":false,"id":856678,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Leigh, Lawrence","contributorId":298906,"corporation":false,"usgs":false,"family":"Leigh","given":"Lawrence","email":"","affiliations":[{"id":64731,"text":"Office of Engineering Research, College of Engineering, South Dakota State University  Brookings, SD 57007","active":true,"usgs":false}],"preferred":false,"id":856679,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Good, Susan","contributorId":298907,"corporation":false,"usgs":false,"family":"Good","given":"Susan","email":"","affiliations":[{"id":64732,"text":"A.I.Solutions@NASA GSFC, Code 595 Greenbelt, MD 20771","active":true,"usgs":false}],"preferred":false,"id":856680,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Schmidt, Michael","contributorId":298908,"corporation":false,"usgs":false,"family":"Schmidt","given":"Michael","affiliations":[{"id":64734,"text":"A.I.Solutions@NASA GSFC, Code 595 Greenbelt, MD 20771.","active":true,"usgs":false}],"preferred":false,"id":856681,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Crawford, Christopher J. 0000-0002-7145-0709 cjcrawford@usgs.gov","orcid":"https://orcid.org/0000-0002-7145-0709","contributorId":213607,"corporation":false,"usgs":true,"family":"Crawford","given":"Christopher J.","email":"cjcrawford@usgs.gov","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":856682,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70238167,"text":"70238167 - 2022 - Spatial models of jaguar energy expenditure in response to border wall construction and remediation","interactions":[],"lastModifiedDate":"2022-11-15T12:50:52.470023","indexId":"70238167","displayToPublicDate":"2022-10-28T06:47:15","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":9319,"text":"Frontiers in Conservation Science","active":true,"publicationSubtype":{"id":10}},"title":"Spatial models of jaguar energy expenditure in response to border wall construction and remediation","docAbstract":"<div class=\"JournalAbstract\"><p>The construction of a wall at the United States-Mexico border is known to impede and deter movement of terrestrial wildlife between the two countries. One such species is the jaguar, in its northernmost range in the borderlands of Arizona and Sonora. We developed an anisotropic cost distance model for jaguar in a binational crossing area of the Madrean Sky Islands at the United States-Mexico border in Southern Arizona as a case study by using previously collected GPS tracking data for jaguars, bioenergetic calculations for pumas, and a digital elevation model. This model describes projected energy expenditure for jaguar to reach key water sources north of the international border. These desert springs and the broader study region provide vital habitat for jaguar conservation and reintroduction efforts in the United States. An emerging impediment to jaguar conservation and reintroduction is border infrastructure including border wall. By comparing walled and un-walled border sections, and three remediation scenarios, we demonstrate that existing border infrastructure significantly increases energy expenditure by jaguars and that some partial remediation scenarios are more beneficial than others. Our results demonstrate opportunities for remediation. Improved understanding of how border infrastructure impacts physiological requirements and resulting impacts to jaguar and other terrestrial wildlife in the United States-Mexico borderlands may inform conservation management.</p></div>","language":"English","publisher":"Frontiers","doi":"10.3389/fcosc.2022.1012010","usgsCitation":"Chambers, S.N., Villarreal, M.L., Norman, L., Bravo, J.C., and Traphagen, M.B., 2022, Spatial models of jaguar energy expenditure in response to border wall construction and remediation: Frontiers in Conservation Science, v. 3, 1012010, 9 p., https://doi.org/10.3389/fcosc.2022.1012010.","productDescription":"1012010, 9 p.","ipdsId":"IP-143998","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":446012,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fcosc.2022.1012010","text":"Publisher Index Page"},{"id":435642,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9DSSV2Q","text":"USGS data release","linkHelpText":"Maps of cumulative energy expenditure models for jaguar in southern Arizona"},{"id":409349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona","otherGeospatial":"Tumacacori Highlands","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -111.7240776436901,\n              32.20918805856094\n            ],\n            [\n              -111.7240776436901,\n              31.199752402944327\n            ],\n            [\n              -110.41670459681502,\n              31.199752402944327\n            ],\n            [\n              -110.41670459681502,\n              32.20918805856094\n            ],\n            [\n              -111.7240776436901,\n              32.20918805856094\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2022-10-28","publicationStatus":"PW","contributors":{"authors":[{"text":"Chambers, Samuel Norton 0000-0002-9840-7989","orcid":"https://orcid.org/0000-0002-9840-7989","contributorId":297110,"corporation":false,"usgs":true,"family":"Chambers","given":"Samuel","email":"","middleInitial":"Norton","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":857031,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Villarreal, Miguel L. 0000-0003-0720-1422 mvillarreal@usgs.gov","orcid":"https://orcid.org/0000-0003-0720-1422","contributorId":1424,"corporation":false,"usgs":true,"family":"Villarreal","given":"Miguel","email":"mvillarreal@usgs.gov","middleInitial":"L.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":857032,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Norman, Laura M. 0000-0002-3696-8406","orcid":"https://orcid.org/0000-0002-3696-8406","contributorId":203300,"corporation":false,"usgs":true,"family":"Norman","given":"Laura M.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":857033,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bravo, Juan Carlos","contributorId":299075,"corporation":false,"usgs":false,"family":"Bravo","given":"Juan","email":"","middleInitial":"Carlos","affiliations":[{"id":64759,"text":"Wildlands Network","active":true,"usgs":false}],"preferred":false,"id":857034,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Traphagen, Myles B.","contributorId":299076,"corporation":false,"usgs":false,"family":"Traphagen","given":"Myles","email":"","middleInitial":"B.","affiliations":[{"id":64759,"text":"Wildlands Network","active":true,"usgs":false}],"preferred":false,"id":857035,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70237862,"text":"70237862 - 2022 - Towards critical white ice conditions in lakes under global warming","interactions":[],"lastModifiedDate":"2022-10-27T16:16:43.055492","indexId":"70237862","displayToPublicDate":"2022-10-27T11:08:49","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2842,"text":"Nature Communications","active":true,"publicationSubtype":{"id":10}},"title":"Towards critical white ice conditions in lakes under global warming","docAbstract":"The quality of lake ice is of uppermost importance for ice safety and under-ice ecology, but its temporal and spatial variability is largely unknown. Here we conducted a coordinated lake ice quality sampling campaign across the Northern Hemisphere during one of the warmest winters since 1880 and show that lake ice during 2020/2021 commonly consisted of unstable white ice, at times contributing up to 100% to the total ice thickness. We observed that white ice increased over the winter season, becoming thickest and constituting the largest proportion of the ice layer towards the end of the ice cover season when fatal winter drownings occur most often and light limits the growth and reproduction of primary producers. We attribute the dominance of white ice before ice-off to air temperatures varying around the freezing point, a condition which occurs more frequently during warmer winters. Thus, under continued global warming, the prevalence of white ice is likely to substantially increase during the critical period before ice-off, for which we adjusted commonly used equations for human ice safety and light transmittance through ice.","language":"English","publisher":"Springer","doi":"10.1038/s41467-022-32633-1","usgsCitation":"Weyhenmeyer, G.A., Obertegger, U., Rudebeck, H., Jakobsson, E., Jansen, J., Zdorovennova, G., Bansal, S., Block, B., Carey, C.C., Doubek, J.P., Dugan, H., Erina, O., Fedorova, I., Fischer, J., Grinberga, L., Grossart, H., Kangur, K., Knoll, L.B., Laas, A., Lepori, F., Meier, J., Palshin, N., Peternell, M., Pulkkanen, M., Rusak, J.A., Sharma, S., Wain, D., and Zdorovennov, R., 2022, Towards critical white ice conditions in lakes under global warming: Nature Communications, v. 13, 4974, 8 p., https://doi.org/10.1038/s41467-022-32633-1.","productDescription":"4974, 8 p.","ipdsId":"IP-137207","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":446014,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1038/s41467-022-32633-1","text":"Publisher Index Page"},{"id":408808,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Northern Hemisphere","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -10.18244324597265,\n              85.00520037957938\n            ],\n            [\n              -370.7682174345133,\n              85.00520037957938\n            ],\n            [\n              -370.7682174345133,\n              1.935346035660757\n            ],\n            [\n              -10.18244324597265,\n              1.935346035660757\n            ],\n            [\n              -10.18244324597265,\n              85.00520037957938\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"13","noUsgsAuthors":false,"publicationDate":"2022-08-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Weyhenmeyer, Gesa A.","contributorId":150314,"corporation":false,"usgs":false,"family":"Weyhenmeyer","given":"Gesa","email":"","middleInitial":"A.","affiliations":[{"id":17988,"text":"Department of Ecology and Genetics/Limnology, Uppsala University, Uppsala, Sweden","active":true,"usgs":false}],"preferred":false,"id":855958,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Obertegger, Ulrike","contributorId":298593,"corporation":false,"usgs":false,"family":"Obertegger","given":"Ulrike","email":"","affiliations":[],"preferred":false,"id":855959,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rudebeck, Hugo","contributorId":298594,"corporation":false,"usgs":false,"family":"Rudebeck","given":"Hugo","email":"","affiliations":[],"preferred":false,"id":855960,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jakobsson, Ellinor","contributorId":298595,"corporation":false,"usgs":false,"family":"Jakobsson","given":"Ellinor","email":"","affiliations":[],"preferred":false,"id":855961,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jansen, Joachim","contributorId":265843,"corporation":false,"usgs":false,"family":"Jansen","given":"Joachim","email":"","affiliations":[],"preferred":false,"id":855962,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zdorovennova, Galina","contributorId":297296,"corporation":false,"usgs":false,"family":"Zdorovennova","given":"Galina","email":"","affiliations":[{"id":64356,"text":"Northern water problems Institute Karelian Research Centre of RAS, Petrozavodsk, Russia","active":true,"usgs":false}],"preferred":false,"id":855963,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bansal, Sheel 0000-0003-1233-1707 sbansal@usgs.gov","orcid":"https://orcid.org/0000-0003-1233-1707","contributorId":167295,"corporation":false,"usgs":true,"family":"Bansal","given":"Sheel","email":"sbansal@usgs.gov","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":855964,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Block, Benjamin","contributorId":298596,"corporation":false,"usgs":false,"family":"Block","given":"Benjamin","email":"","affiliations":[],"preferred":false,"id":855965,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Carey, Cayelan C.","contributorId":130969,"corporation":false,"usgs":false,"family":"Carey","given":"Cayelan","email":"","middleInitial":"C.","affiliations":[{"id":7185,"text":"Department of Biological Sciences, Virginia Tech, Blacksburg, VA, USA","active":true,"usgs":false}],"preferred":false,"id":855966,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Doubek, Jonathan P.","contributorId":223151,"corporation":false,"usgs":false,"family":"Doubek","given":"Jonathan","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":855967,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Dugan, Hilary","contributorId":150191,"corporation":false,"usgs":false,"family":"Dugan","given":"Hilary","affiliations":[{"id":17938,"text":"Center for Limnology University of Wisconsin, Madison, WI 53706, US","active":true,"usgs":false}],"preferred":false,"id":855968,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Erina, Oxana","contributorId":298597,"corporation":false,"usgs":false,"family":"Erina","given":"Oxana","email":"","affiliations":[],"preferred":false,"id":855969,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Fedorova, Irina","contributorId":298598,"corporation":false,"usgs":false,"family":"Fedorova","given":"Irina","email":"","affiliations":[],"preferred":false,"id":855971,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Fischer, Janet","contributorId":298599,"corporation":false,"usgs":false,"family":"Fischer","given":"Janet","email":"","affiliations":[],"preferred":false,"id":855972,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Grinberga, Laura","contributorId":298600,"corporation":false,"usgs":false,"family":"Grinberga","given":"Laura","email":"","affiliations":[],"preferred":false,"id":855973,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Grossart, Hans-Peter 0000-0002-9141-0325","orcid":"https://orcid.org/0000-0002-9141-0325","contributorId":194460,"corporation":false,"usgs":false,"family":"Grossart","given":"Hans-Peter","email":"","affiliations":[],"preferred":false,"id":855974,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Kangur, Külli","contributorId":243021,"corporation":false,"usgs":false,"family":"Kangur","given":"Külli","affiliations":[{"id":18000,"text":"Estonian University of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":855975,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Knoll, Lesley B. 0000-0003-0347-5979","orcid":"https://orcid.org/0000-0003-0347-5979","contributorId":194463,"corporation":false,"usgs":false,"family":"Knoll","given":"Lesley","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":855976,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Laas, Alo 0000-0002-4801-0377","orcid":"https://orcid.org/0000-0002-4801-0377","contributorId":261753,"corporation":false,"usgs":false,"family":"Laas","given":"Alo","email":"","affiliations":[{"id":18000,"text":"Estonian University of Life Sciences","active":true,"usgs":false}],"preferred":false,"id":855977,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Lepori, Fabio","contributorId":166767,"corporation":false,"usgs":false,"family":"Lepori","given":"Fabio","email":"","affiliations":[{"id":24502,"text":"Institute of Earth Sciences, University of Applied Sciences and Arts of Southern Switzerland","active":true,"usgs":false}],"preferred":false,"id":855978,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Meier, Jacob 0000-0002-8822-8434","orcid":"https://orcid.org/0000-0002-8822-8434","contributorId":204473,"corporation":false,"usgs":true,"family":"Meier","given":"Jacob","email":"","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":855979,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Palshin, Nikolai","contributorId":298601,"corporation":false,"usgs":false,"family":"Palshin","given":"Nikolai","email":"","affiliations":[],"preferred":false,"id":855980,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Peternell, Mark","contributorId":298603,"corporation":false,"usgs":false,"family":"Peternell","given":"Mark","email":"","affiliations":[],"preferred":false,"id":855982,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Pulkkanen, Merja","contributorId":298602,"corporation":false,"usgs":false,"family":"Pulkkanen","given":"Merja","email":"","affiliations":[],"preferred":false,"id":855981,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Rusak, James A. 0000-0002-4939-6478","orcid":"https://orcid.org/0000-0002-4939-6478","contributorId":150301,"corporation":false,"usgs":false,"family":"Rusak","given":"James","email":"","middleInitial":"A.","affiliations":[{"id":17970,"text":"Dorset Environmental Science Centre, Ontario Ministry of the Environment and Climate Change, Dorset, Ontario, Canada","active":true,"usgs":false}],"preferred":false,"id":855983,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Sharma, Sapna","contributorId":150332,"corporation":false,"usgs":false,"family":"Sharma","given":"Sapna","email":"","affiliations":[{"id":16184,"text":"York University","active":true,"usgs":false}],"preferred":false,"id":855984,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Wain, Danielle","contributorId":297293,"corporation":false,"usgs":false,"family":"Wain","given":"Danielle","email":"","affiliations":[{"id":64353,"text":"7 Lakes Alliance, Belgrade Lakes, Maine, USA 04901","active":true,"usgs":false}],"preferred":false,"id":855985,"contributorType":{"id":1,"text":"Authors"},"rank":27},{"text":"Zdorovennov, Roman","contributorId":298604,"corporation":false,"usgs":false,"family":"Zdorovennov","given":"Roman","email":"","affiliations":[],"preferred":false,"id":855986,"contributorType":{"id":1,"text":"Authors"},"rank":28}]}}
,{"id":70237853,"text":"70237853 - 2022 - Probing the upper end of intracontinental earthquake magnitude: A prehistoric example from the Dzhungarian and Lepsy faults of Kazakhstan","interactions":[],"lastModifiedDate":"2022-10-27T16:07:43.167415","indexId":"70237853","displayToPublicDate":"2022-10-27T10:52:35","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"Probing the upper end of intracontinental earthquake magnitude: A prehistoric example from the Dzhungarian and Lepsy faults of Kazakhstan","docAbstract":"The study of surface ruptures is key to understanding the earthquake occurrence of faults especially in the absence of historical events. We present a detailed analysis of geomorphic displacements along the Dzhungarian Fault, which straddles the border of China and Kazakhstan. We use digital elevation models derived from structure-from-motion analysis of Pléiades satellite imagery and drone imagery from specific field sites to measure surface offsets. We provide direct age constraints from alluvial terraces displaced by faulting and indirect dating from morphological analysis of the scarps. We find that the southern 250 km of the fault likely ruptured in a single event in the last 4000 years, with displacements of 10-15 m, and potentially up to 20 m at one site. We infer that this Dzhungarian rupture is likely linked with a previously identified paleo-earthquake rupture on the Lepsy Fault through a system of splays in the intervening highlands. Though there are remaining uncertainties regarding consistency in age constraints between the two fault ruptures, the majority of sites along the two faults are consistent with a most recent event 2000-4000 years ago. Rupture on the Dzhungarian fault alone is likely to have exceeded Mw 8, and the combined Lepsy-Dzhungarian rupture may have been up to Mw 8.4. Despite being at the upper end of known or inferred continental earthquake magnitudes, our proposed scenario combining the 375 km of the Dzhungarian and Lepsy ruptures yields a slip-to-length ratio consistent with global averages and so do other historical intra-continental earthquakes in Central Asia.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2022TC007300","usgsCitation":"Tsai, C., Abdrakhmatov, K., Mukambayev, A., Elliott, A.J., Elliott, J.R., Grutzner, C., Rhodes, E.J., Ivester, A.H., Walker, R.T., and Wilkinson, R., 2022, Probing the upper end of intracontinental earthquake magnitude: A prehistoric example from the Dzhungarian and Lepsy faults of Kazakhstan: Tectonics, v. 41, no. 10, e2022TC007300, 33 p., https://doi.org/10.1029/2022TC007300.","productDescription":"e2022TC007300, 33 p.","ipdsId":"IP-141076","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":446017,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2022tc007300","text":"Publisher Index Page"},{"id":408807,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"China, Kazakhstan","otherGeospatial":"Dzhungarian fault, Lepsy fault, Tien Shan","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              78.02959818866935,\n              46.96607203759535\n            ],\n            [\n              78.02959818866935,\n              43.10814337437159\n            ],\n            [\n              85.50354350935629,\n              43.10814337437159\n            ],\n            [\n              85.50354350935629,\n              46.96607203759535\n            ],\n            [\n              78.02959818866935,\n              46.96607203759535\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"41","issue":"10","noUsgsAuthors":false,"publicationDate":"2022-10-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Tsai, Chia-Hsin 0000-0002-2496-511X","orcid":"https://orcid.org/0000-0002-2496-511X","contributorId":298575,"corporation":false,"usgs":false,"family":"Tsai","given":"Chia-Hsin","email":"","affiliations":[{"id":25447,"text":"University of Oxford","active":true,"usgs":false}],"preferred":false,"id":855916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Abdrakhmatov, Kanatbek 0000-0002-8106-3876","orcid":"https://orcid.org/0000-0002-8106-3876","contributorId":298576,"corporation":false,"usgs":false,"family":"Abdrakhmatov","given":"Kanatbek","email":"","affiliations":[{"id":64616,"text":"Kyrgyz Institute of Seismology","active":true,"usgs":false}],"preferred":false,"id":855917,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mukambayev, Aidyn 0000-0002-5987-1439","orcid":"https://orcid.org/0000-0002-5987-1439","contributorId":298577,"corporation":false,"usgs":false,"family":"Mukambayev","given":"Aidyn","email":"","affiliations":[{"id":64617,"text":"Kazakhstan National Data Center","active":true,"usgs":false}],"preferred":false,"id":855918,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Elliott, Austin John 0000-0001-5924-7268","orcid":"https://orcid.org/0000-0001-5924-7268","contributorId":248824,"corporation":false,"usgs":true,"family":"Elliott","given":"Austin","email":"","middleInitial":"John","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":855919,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Elliott, John R. 0000-0003-2957-4596","orcid":"https://orcid.org/0000-0003-2957-4596","contributorId":244224,"corporation":false,"usgs":false,"family":"Elliott","given":"John","email":"","middleInitial":"R.","affiliations":[{"id":13344,"text":"University of Leeds","active":true,"usgs":false}],"preferred":false,"id":855920,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Grutzner, Christoph 0000-0003-0777-2751","orcid":"https://orcid.org/0000-0003-0777-2751","contributorId":298578,"corporation":false,"usgs":false,"family":"Grutzner","given":"Christoph","email":"","affiliations":[{"id":64618,"text":"Freidrich Schiller University Jena","active":true,"usgs":false}],"preferred":false,"id":855921,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rhodes, Edward J. 0000-0002-0361-8637","orcid":"https://orcid.org/0000-0002-0361-8637","contributorId":192722,"corporation":false,"usgs":false,"family":"Rhodes","given":"Edward","email":"","middleInitial":"J.","affiliations":[{"id":7081,"text":"University of California - 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,{"id":70238097,"text":"70238097 - 2022 - A serological survey of Francisella tularensis exposure in wildlife on the Arctic Coastal Plain of Alaska","interactions":[],"lastModifiedDate":"2022-12-01T16:21:06.4368","indexId":"70238097","displayToPublicDate":"2022-10-27T06:39:52","publicationYear":"2022","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"displayTitle":"A serological survey of <i>Francisella tularensis</i> exposure in wildlife on the Arctic Coastal Plain of Alaska","title":"A serological survey of Francisella tularensis exposure in wildlife on the Arctic Coastal Plain of Alaska","docAbstract":"<div id=\"14809726\" class=\"article-section-wrapper js-article-section js-content-section  \"><p>Tularemia is an infectious zoonotic disease caused by one of several subspecies of<span>&nbsp;</span><i>Francisella tularensis</i><span>&nbsp;</span>bacteria. Infections by<span>&nbsp;</span><i>F. tularensis</i><span>&nbsp;</span>are common throughout the northern hemisphere and have been detected in more than 250 wildlife species. In Alaska, US, where the pathogen was first identified in 1938, studies have identified<span>&nbsp;</span><i>F. tularensis</i><span>&nbsp;</span>antibodies in a diverse suite of taxa, including insects, birds, and mammals. However, few such investigations have been conducted recently and knowledge about the current distribution and disease ecology of<span>&nbsp;</span><i>F. tularensis</i><span>&nbsp;</span>is limited, particularly in Arctic Alaska, an area undergoing rapid environmental changes from climate warming. To help address these information gaps and provide insights about patterns of exposure among wildlife, we assessed the seroprevalence of<span>&nbsp;</span><i>F. tularensis</i><span>&nbsp;</span>antibodies in mammals and tundra-nesting geese from the Arctic Coastal Plain of Alaska, 2014–17. With a commercially available slide agglutination test, we detected antibodies in 14.7% of all individuals sampled (<i>n</i>=722), with titers ranging from 1:20 to 1:320. We detected significant differences in seroprevalence between family groups, with Canidae (foxes,<span>&nbsp;</span><i>Vulpes</i><span>&nbsp;</span>spp.) and Sciuridae (Arctic ground squirrel,<span>&nbsp;</span><i>Spermophilus parryii</i>) having the highest seroprevalence at 21.5% and 33.3%, respectively. Mean seroprevalence for Ursidae (polar bears,<span>&nbsp;</span><i>Ursus maritimus</i>) was 13.3%, whereas Cervidae (caribou,<span>&nbsp;</span><i>Rangifer tarandus</i>) had comparatively low seroprevalence at 6.5%. Antibodies were detected in all Anatidae species sampled, with Black Brant (<i>Branta bernicla nigricans</i>) having the highest seroprevalence at 13.6%. The detection of<span>&nbsp;</span><i>F. tularensis</i><span>&nbsp;</span>antibodies across multiple taxa from the Arctic Coastal Plain and its nearshore marine region provides evidence of exposure to this pathogen throughout the region and highlights the need for renewed surveillance in Alaska.</p></div>","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/JWD-D-21-00162","usgsCitation":"Smith, M.M., Van Hemert, C.R., Atwood, T.C., Sinnett, D.R., Hupp, J.W., Meixell, B., Gustine, D.D., Adams, L., and Ramey, A.M., 2022, A serological survey of Francisella tularensis exposure in wildlife on the Arctic Coastal Plain of Alaska: Journal of Wildlife Diseases, v. 58, no. 4, p. 746-755, https://doi.org/10.7589/JWD-D-21-00162.","productDescription":"10 p.","startPage":"746","endPage":"755","ipdsId":"IP-133668","costCenters":[{"id":117,"text":"Alaska Science Center Biology WTEB","active":true,"usgs":true}],"links":[{"id":435643,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9B5BSKQ","text":"USGS data release","linkHelpText":"Serological Survey Data for Francisella tularensis and Brucella spp. Exposure in Wildlife on the Arctic Coastal Plain of Alaska"},{"id":409255,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -141.03635954523844,\n              68.66324236533117\n            ],\n            [\n              -141.03635954523844,\n              71.83456962436352\n            ],\n            [\n              -161.95432829523838,\n              71.83456962436352\n            ],\n            [\n              -161.95432829523838,\n              68.66324236533117\n            ],\n            [\n  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