{"pageNumber":"489","pageRowStart":"12200","pageSize":"25","recordCount":184569,"records":[{"id":70225672,"text":"70225672 - 2021 - A hidden Markov model for estimating age-specific survival when age and size are uncertain","interactions":[],"lastModifiedDate":"2021-11-02T11:56:59.846688","indexId":"70225672","displayToPublicDate":"2021-06-05T06:55:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"A hidden Markov model for estimating age-specific survival when age and size are uncertain","docAbstract":"

Estimates of age-specific survival probabilities are needed for age-structured population models and to inform conservation decisions. However, determining the age of individuals in wildlife populations is often problematic. We present a hidden Markov model for estimating age-specific survival from capture–recapture or capture–recapture–recovery data when age is unknown and indicators of age, such as size and growth layer counts, are imprecise. The model is evaluated through simulations, and its implementation is illustrated with maximum likelihood and Bayesian approaches in commonly used software. The model is then applied to genetic capture–recapture data of Florida manatees to estimate age- and time-variant survival probabilities. The approach is broadly applicable to studies aiming to quantify age-specific effects of environmental change and management actions on population dynamics, including studies that rely on minimally invasive methods such as genetic and photo identification.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.3426","usgsCitation":"Gowan, T.A., Tringali, M.D., Hostetler, J.A., Martin, J., Ward-Geiger, L.I., and Johnson, J.M., 2021, A hidden Markov model for estimating age-specific survival when age and size are uncertain: Ecology, v. 102, no. 8, e03426, 7 p., https://doi.org/10.1002/ecy.3426.","productDescription":"e03426, 7 p.","ipdsId":"IP-121258","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":452006,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/ecy.3426","text":"External Repository"},{"id":436327,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9TPN4F3","text":"USGS data release","linkHelpText":"Data from: A hidden Markov model for estimating age-specific survival when age and size are uncertain"},{"id":391263,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"102","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-07-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Gowan, Timothy A.","contributorId":138595,"corporation":false,"usgs":false,"family":"Gowan","given":"Timothy","email":"","middleInitial":"A.","affiliations":[{"id":12456,"text":"former USGS scientist","active":true,"usgs":false}],"preferred":false,"id":826163,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tringali, Michael D.","contributorId":191189,"corporation":false,"usgs":false,"family":"Tringali","given":"Michael","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":826164,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hostetler, Jeffrey A. 0000-0003-3669-1758","orcid":"https://orcid.org/0000-0003-3669-1758","contributorId":190248,"corporation":false,"usgs":false,"family":"Hostetler","given":"Jeffrey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":826165,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Martin, Julien 0000-0002-7375-129X","orcid":"https://orcid.org/0000-0002-7375-129X","contributorId":218445,"corporation":false,"usgs":true,"family":"Martin","given":"Julien","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":826166,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ward-Geiger, Leslie I.","contributorId":190250,"corporation":false,"usgs":false,"family":"Ward-Geiger","given":"Leslie","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":826167,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Jennifer M","contributorId":268201,"corporation":false,"usgs":false,"family":"Johnson","given":"Jennifer","email":"","middleInitial":"M","affiliations":[{"id":12556,"text":"Florida Fish and Wildlife Conservation Commission","active":true,"usgs":false}],"preferred":false,"id":826168,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70221475,"text":"70221475 - 2021 - Relative risk of groundwater-quality degradation near California (USA) oil fields estimated from 3H, 14C, and 4He","interactions":[],"lastModifiedDate":"2021-06-17T11:56:09.830879","indexId":"70221475","displayToPublicDate":"2021-06-05T06:52:07","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Relative risk of groundwater-quality degradation near California (USA) oil fields estimated from 3H, 14C, and 4He","docAbstract":"

Relative risks of groundwater-quality degradation near selected California oil fields are estimated by examining spatial and temporal patterns in chemical and isotopic data in the context of groundwater-age categories defined by tritium and carbon-14. In the Coastal basins, western San Joaquin Valley (SJV), and eastern SJV; 82, 76, and 0% of samples are premodern (pre-1953 recharge), respectively; and 3, 0, and 31% are modern (recharged during or after 1953), respectively. Carbon-14 and helium-4 data indicate most premodern samples are 1000 to 10,000 (33%) or >10,000 (50%) years old. Organic chemicals that could be associated with deeper hydrocarbon reservoirs (e.g. thermogenic gases and benzene) occur most frequently in premodern groundwater, suggesting premodern groundwater has a higher risk of degradation from upward migration of hydrocarbons than modern and mixed-age groundwater. Low sulfate concentrations in some premodern groundwater containing high thermogenic-methane concentrations (>28 mg/L) indicate methane attenuation associated with sulfate reduction can be limited in premodern groundwater. The more common occurrence of manufactured compounds, like tetrachloroethene, in modern and mixed-age groundwater than in premodern groundwater indicates modern and mixed-age groundwater has a higher risk of degradation from land-surface sources than premodern groundwater. Time-series data for chloride in groundwater affected by disposal of oil-field water in unlined ponds indicate some modern and mixed-age groundwater are susceptible to chemical migration within 2–3 km of surface sources. Timescales for diluting chloride concentrations in groundwater with fresh recharge once disposal ponds are decommissioned are shorter in mixed-age groundwater with large fractions of modern water (9–14 years in one example) than in mixed-age groundwater with large fractions of premodern water (no evidence of dilution after 12 years of monitoring in one example). The presence of predominantly premodern groundwater in the Coastal basins and western SJV indicates these areas have relatively high risk from upward migration of hydrocarbons, reduced methane attenuation capacity, and long dilution times, whereas predominantly modern- and mixed-age groundwater in the eastern SJV indicates this area has relatively high risk from chemical migration from land-surface sources and subsequent extensive spreading. Age-based characterizations of relative risk could inform the design of groundwater-monitoring programs near oil fields in terms of the spatial distribution of monitoring points relative to source areas and monitoring frequency and duration.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2021.105024","usgsCitation":"McMahon, P.B., Landon, M.K., Davis, T., Wright, M., Rosecrans, C.Z., Anders, R., Land, M., Kulongoski, J.T., and Hunt, A., 2021, Relative risk of groundwater-quality degradation near California (USA) oil fields estimated from 3H, 14C, and 4He: Applied Geochemistry, v. 131, 105024, 15 p., https://doi.org/10.1016/j.apgeochem.2021.105024.","productDescription":"105024, 15 p.","ipdsId":"IP-120473","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":452009,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2021.105024","text":"Publisher Index Page"},{"id":386566,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.95947265624999,\n 33.96158628979907\n ],\n [\n -117.99316406249999,\n 33.96158628979907\n ],\n [\n -117.99316406249999,\n 35.30840140169162\n ],\n [\n -120.95947265624999,\n 35.30840140169162\n ],\n [\n -120.95947265624999,\n 33.96158628979907\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"131","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"McMahon, Peter B. 0000-0001-7452-2379 pmcmahon@usgs.gov","orcid":"https://orcid.org/0000-0001-7452-2379","contributorId":724,"corporation":false,"usgs":true,"family":"McMahon","given":"Peter","email":"pmcmahon@usgs.gov","middleInitial":"B.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Landon, Matthew K. 0000-0002-5766-0494 landon@usgs.gov","orcid":"https://orcid.org/0000-0002-5766-0494","contributorId":392,"corporation":false,"usgs":true,"family":"Landon","given":"Matthew","email":"landon@usgs.gov","middleInitial":"K.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Davis, Tracy 0000-0003-0253-6661 tadavis@usgs.gov","orcid":"https://orcid.org/0000-0003-0253-6661","contributorId":176921,"corporation":false,"usgs":true,"family":"Davis","given":"Tracy","email":"tadavis@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wright, Michael 0000-0003-0653-6466 mtwright@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-6466","contributorId":151031,"corporation":false,"usgs":true,"family":"Wright","given":"Michael","email":"mtwright@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817788,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rosecrans, Celia Z. 0000-0003-1456-4360 crosecrans@usgs.gov","orcid":"https://orcid.org/0000-0003-1456-4360","contributorId":187542,"corporation":false,"usgs":true,"family":"Rosecrans","given":"Celia","email":"crosecrans@usgs.gov","middleInitial":"Z.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":817789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Anders, Robert 0000-0002-2363-9072 randers@usgs.gov","orcid":"https://orcid.org/0000-0002-2363-9072","contributorId":1210,"corporation":false,"usgs":true,"family":"Anders","given":"Robert","email":"randers@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817790,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Land, Michael 0000-0001-5141-0307 mtland@usgs.gov","orcid":"https://orcid.org/0000-0001-5141-0307","contributorId":171938,"corporation":false,"usgs":true,"family":"Land","given":"Michael","email":"mtland@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817791,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kulongoski, Justin T. 0000-0002-3498-4154 kulongos@usgs.gov","orcid":"https://orcid.org/0000-0002-3498-4154","contributorId":173457,"corporation":false,"usgs":true,"family":"Kulongoski","given":"Justin","email":"kulongos@usgs.gov","middleInitial":"T.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":817792,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hunt, Andrew G. 0000-0002-3810-8610","orcid":"https://orcid.org/0000-0002-3810-8610","contributorId":206197,"corporation":false,"usgs":true,"family":"Hunt","given":"Andrew G.","affiliations":[{"id":309,"text":"Geology and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":817793,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70229435,"text":"70229435 - 2021 - Quantifying the demographic vulnerabilities of dry woodlands to climate and competition using rangewide monitoring data","interactions":[],"lastModifiedDate":"2022-03-08T12:41:49.267311","indexId":"70229435","displayToPublicDate":"2021-06-05T06:40:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Quantifying the demographic vulnerabilities of dry woodlands to climate and competition using rangewide monitoring data","docAbstract":"

Climate change is expected to alter the distribution and abundance of tree species, impacting ecosystem structure and function. Yet, anticipating where this will occur is often hampered by a lack of understanding of how demographic rates, most notably recruitment, vary in response to climate and competition across a species range. Using large-scale monitoring data on two dry woodland tree species (Pinus edulis and Juniperus osteosperma), we develop an approach to infer recruitment, survival, and growth of both species across their range. In doing so, we account for ecological and statistical dependencies inherent in large-scale monitoring data. We find that drying and warming conditions generally lead to declines in recruitment and survival, but the strength of responses varied between species. These climate conditions point to geographic regions of high vulnerability for particular species, such as Pinus edulis in northern Arizona, where both survival and recruitment are low. Our approach provides a path forward for leveraging emerging large-scale monitoring and remotely sensed data to anticipate the impacts of global change on species distributions.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.3425","usgsCitation":"Shriver, R.K., Yackulic, C., Bell, D.M., and Bradford, J., 2021, Quantifying the demographic vulnerabilities of dry woodlands to climate and competition using rangewide monitoring data: Ecology, v. 102, no. 8, e03425, 12 p., https://doi.org/10.1002/ecy.3425.","productDescription":"e03425, 12 p.","ipdsId":"IP-118123","costCenters":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"links":[{"id":452012,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1101/2020.04.03.024497","text":"External Repository"},{"id":396845,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"102","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-07-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Shriver, Robert K 0000-0002-4590-4834","orcid":"https://orcid.org/0000-0002-4590-4834","contributorId":222834,"corporation":false,"usgs":false,"family":"Shriver","given":"Robert","email":"","middleInitial":"K","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":837435,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yackulic, Charles B. 0000-0001-9661-0724","orcid":"https://orcid.org/0000-0001-9661-0724","contributorId":218825,"corporation":false,"usgs":true,"family":"Yackulic","given":"Charles","middleInitial":"B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":837436,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, David M.","contributorId":191003,"corporation":false,"usgs":false,"family":"Bell","given":"David","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":837437,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bradford, John B. 0000-0001-9257-6303","orcid":"https://orcid.org/0000-0001-9257-6303","contributorId":219257,"corporation":false,"usgs":true,"family":"Bradford","given":"John B.","affiliations":[{"id":568,"text":"Southwest Biological Science Center","active":true,"usgs":true}],"preferred":true,"id":837438,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221174,"text":"ofr20211049 - 2021 - Deposit classification scheme for the Critical Minerals Mapping Initiative Global Geochemical Database","interactions":[],"lastModifiedDate":"2021-06-07T11:43:05.163242","indexId":"ofr20211049","displayToPublicDate":"2021-06-04T16:00:00","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1049","displayTitle":"Deposit Classification Scheme for the Critical Minerals Mapping Initiative Global Geochemical Database","title":"Deposit classification scheme for the Critical Minerals Mapping Initiative Global Geochemical Database","docAbstract":"

A challenge for the global economy is to meet the growing demand for commodities used in today’s advanced technologies. Critical minerals are commodities (for example, elements, compounds, minerals) deemed vital to the economic and national security of individual countries that are vulnerable to supply disruption. The national geological agencies of Australia, Canada, and the United States recently joined forces to advance understanding and foster development of critical mineral resources in their respective countries through the Critical Minerals Mapping Initiative (CMMI). An initial goal of the CMMI is to fill the knowledge gap on the abundance of critical minerals in ores. To do this, the CMMI compiled modern multielement geochemical data generated by each agency on ore samples collected from historical and active mines and prospects from around the world. To identify relationships between critical minerals, deposit types, deposit environments, and mineral systems, a unified deposit classification scheme was needed. This report describes the scheme developed by the CMMI to classify the initial release of geochemical data. In 2021, the resulting database—along with basic query, statistical analysis, and display tools—will be served to the public through a web-based portal managed by Geoscience Australia. The database will enable users to trace critical minerals through mineral systems and identify individual deposits or deposit types that are potential sources of critical minerals.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211049","issn":"2331-1258","collaboration":"Prepared as part of a joint research program between the U.S. Geological Survey, Geological Survey of Canada, Geological Survey of Queensland, and Geoscience Australia","usgsCitation":"Hofstra, A., Lisitsin, V., Corriveau, L., Paradis, S., Peter, J., Lauzière, K., Lawley, C., Gadd, M., Pilote, J., Honsberger, I., Bastrakov, E., Champion, D., Czarnota, K., Doublier, M., Huston, D., Raymond, O., VanDerWielen, S., Emsbo, P., Granitto, M., and Kreiner, D., 2021, Deposit classification scheme for the Critical Minerals Mapping Initiative Global Geochemical Database: U.S. Geological Survey Open-File Report 2021–1049, 60 p., https://doi.org/10.3133/ofr20211049.","productDescription":"Report: v, 60 p.; 1 Table","onlineOnly":"Y","ipdsId":"IP-127680","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":386206,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/of/2021/1049/ofr20211049_table2.pdf","text":"Table 2—Deposit classification scheme","size":"224 kB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1049 Table 1"},{"id":386204,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1049/coverthb.jpg"},{"id":386205,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1049/ofr20211049.pdf","text":"Report","size":"1.27 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021-1049"}],"contact":"

Director, Geology, Geophysics, and Geochemistry Science Center
U.S. Geological Survey
MS 973, Box 25046
Denver, CO 80225

","tableOfContents":"","publishedDate":"2021-06-04","noUsgsAuthors":false,"publicationDate":"2021-06-04","publicationStatus":"PW","contributors":{"authors":[{"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":816952,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lisitsin, Vladimir","contributorId":259280,"corporation":false,"usgs":false,"family":"Lisitsin","given":"Vladimir","email":"","affiliations":[{"id":52346,"text":"Geological Survey of Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":816953,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Corriveau, Louise","contributorId":259281,"corporation":false,"usgs":false,"family":"Corriveau","given":"Louise","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":816954,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paradis, Suzanne","contributorId":259282,"corporation":false,"usgs":false,"family":"Paradis","given":"Suzanne","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":816955,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Peter, Jan","contributorId":259283,"corporation":false,"usgs":false,"family":"Peter","given":"Jan","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":816956,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lauziere, Kathleen","contributorId":259284,"corporation":false,"usgs":false,"family":"Lauziere","given":"Kathleen","email":"","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":816957,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lawley, Christopher","contributorId":259285,"corporation":false,"usgs":false,"family":"Lawley","given":"Christopher","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":816958,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Gadd, Michael","contributorId":259286,"corporation":false,"usgs":false,"family":"Gadd","given":"Michael","affiliations":[{"id":13092,"text":"Geological Survey of Canada","active":true,"usgs":false}],"preferred":false,"id":816959,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pilote, 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L.","contributorId":259293,"corporation":false,"usgs":false,"family":"Huston","given":"David","middleInitial":"L.","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":816966,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Raymond, Oliver","contributorId":259294,"corporation":false,"usgs":false,"family":"Raymond","given":"Oliver","email":"","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":816967,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"VanDerWielen, Simon","contributorId":259295,"corporation":false,"usgs":false,"family":"VanDerWielen","given":"Simon","email":"","affiliations":[{"id":35920,"text":"Geoscience Australia","active":true,"usgs":false}],"preferred":false,"id":816968,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Emsbo, Poul 0000-0001-9421-201X pemsbo@usgs.gov","orcid":"https://orcid.org/0000-0001-9421-201X","contributorId":997,"corporation":false,"usgs":true,"family":"Emsbo","given":"Poul","email":"pemsbo@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":816969,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Granitto, Matthew 0000-0003-3445-4863 granitto@usgs.gov","orcid":"https://orcid.org/0000-0003-3445-4863","contributorId":1224,"corporation":false,"usgs":true,"family":"Granitto","given":"Matthew","email":"granitto@usgs.gov","affiliations":[{"id":387,"text":"Mineral Resources Program","active":true,"usgs":true},{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":816972,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Kreiner, Douglas C. 0000-0002-4405-1403","orcid":"https://orcid.org/0000-0002-4405-1403","contributorId":220474,"corporation":false,"usgs":true,"family":"Kreiner","given":"Douglas","email":"","middleInitial":"C.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true}],"preferred":true,"id":816973,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70222482,"text":"70222482 - 2021 - Using tree swallows to assess reductions in PCB exposure as a result of dredging at Great Lakes Restoration Initiative (GLRI) sites in the Upper Midwest, USA","interactions":[],"lastModifiedDate":"2021-07-30T13:23:02.278162","indexId":"70222482","displayToPublicDate":"2021-06-04T08:20:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1479,"text":"Ecotoxicology","active":true,"publicationSubtype":{"id":10}},"title":"Using tree swallows to assess reductions in PCB exposure as a result of dredging at Great Lakes Restoration Initiative (GLRI) sites in the Upper Midwest, USA","docAbstract":"

Tree swallows (Tachycineta bicolor) were used to assess the effectiveness of reducing polychlorinated biphenyl (PCB) exposure to wildlife as a result of contaminated sediment removal at locations across the Great Lakes under two dredging scenarios, full or spot dredging. For comparative purposes, other locations where no dredging occurred were also assessed. Calculating accumulation rate, from the mass of a contaminant in tree swallow eggs and nestling carcasses, is a useful tool to assess the effectiveness of sediment removal. It has the advantage over more commonly used metrics such as cubic yards of sediment removed or kg of a contaminant removed, because it assesses a biotic endpoint that has more societal understanding. Egg and nestling concentrations of total PCBs and accumulation rate (μg of total PCBs accumulated per day) were compared pre- and post-dredge. At the most contaminated site, Waukegan Harbor, Illinois, the accumulation rate decreased by 95% because of dredging. At less contaminated locations in Wisconsin and Ohio, the accumulation rate was reduced by dredging as well, but not to such a large extent (~50%). Even at reference locations, there was a very small amount (0.01–0.06 μg/day) of PCBs accumulated each day because of the prevalence of this contaminant in the environment. The profile of individual PCB congeners also differed pre-and post-dredge and demonstrated significant changes as a result of dredging activities.

","language":"English","publisher":"Springer","doi":"10.1007/s10646-021-02420-7","usgsCitation":"Custer, C.M., Custer, T.W., and Dummer, P.M., 2021, Using tree swallows to assess reductions in PCB exposure as a result of dredging at Great Lakes Restoration Initiative (GLRI) sites in the Upper Midwest, USA: Ecotoxicology, v. 30, p. 1116-1125, https://doi.org/10.1007/s10646-021-02420-7.","productDescription":"10 p.","startPage":"1116","endPage":"1125","ipdsId":"IP-125632","costCenters":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"links":[{"id":387583,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.1640625,\n 40.78054143186033\n ],\n [\n -75.673828125,\n 40.78054143186033\n ],\n [\n -75.673828125,\n 48.3416461723746\n ],\n [\n -93.1640625,\n 48.3416461723746\n ],\n [\n -93.1640625,\n 40.78054143186033\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"30","noUsgsAuthors":false,"publicationDate":"2021-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Custer, Christine M. 0000-0003-0500-1582 ccuster@usgs.gov","orcid":"https://orcid.org/0000-0003-0500-1582","contributorId":1143,"corporation":false,"usgs":true,"family":"Custer","given":"Christine","email":"ccuster@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Custer, Thomas W. 0000-0003-3170-6519","orcid":"https://orcid.org/0000-0003-3170-6519","contributorId":216059,"corporation":false,"usgs":false,"family":"Custer","given":"Thomas","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":820185,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dummer, Paul M. 0000-0002-2055-9480 pdummer@usgs.gov","orcid":"https://orcid.org/0000-0002-2055-9480","contributorId":3015,"corporation":false,"usgs":true,"family":"Dummer","given":"Paul","email":"pdummer@usgs.gov","middleInitial":"M.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":820186,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70221325,"text":"70221325 - 2021 - Remote and local drivers of Pleistocene South Asian summer monsoon precipitation: A test for future predictions","interactions":[],"lastModifiedDate":"2021-06-10T12:46:14.489393","indexId":"70221325","displayToPublicDate":"2021-06-04T07:42:47","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5010,"text":"Science Advances","active":true,"publicationSubtype":{"id":10}},"title":"Remote and local drivers of Pleistocene South Asian summer monsoon precipitation: A test for future predictions","docAbstract":"

South Asian precipitation amount and extreme variability are predicted to increase due to thermodynamic effects of increased 21st-century greenhouse gases, accompanied by an increased supply of moisture from the southern hemisphere Indian Ocean. We reconstructed South Asian summer monsoon precipitation and runoff into the Bay of Bengal to assess the extent to which these factors also operated in the Pleistocene, a time of large-scale natural changes in carbon dioxide and ice volume. South Asian precipitation and runoff are strongly coherent with, and lag, atmospheric carbon dioxide changes at Earth’s orbital eccentricity, obliquity, and precession bands and are closely tied to cross-equatorial wind strength at the precession band. We find that the projected monsoon response to ongoing, rapid high-latitude ice melt and rising carbon dioxide levels is fully consistent with dynamics of the past 0.9 million years.

","language":"English","publisher":"AAAS","doi":"10.1126/sciadv.abg3848","usgsCitation":"Clemens, S.C., Yamamoto, M., Thirumalai, K., Giosan, L., Richey, J.N., Nilson-Kerr, K., Rosenthal, Y., Anand, P., and McGrath, S.M., 2021, Remote and local drivers of Pleistocene South Asian summer monsoon precipitation: A test for future predictions: Science Advances, v. 7, no. 23, eabg3848, 16 p., https://doi.org/10.1126/sciadv.abg3848.","productDescription":"eabg3848, 16 p.","ipdsId":"IP-127492","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":452014,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1126/sciadv.abg3848","text":"Publisher Index Page"},{"id":386391,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Bangladesh, India, Myanmar","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 82.96875,\n 16.04581345375217\n ],\n [\n 96.416015625,\n 16.04581345375217\n ],\n [\n 96.416015625,\n 25.16517336866393\n ],\n [\n 82.96875,\n 25.16517336866393\n ],\n [\n 82.96875,\n 16.04581345375217\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"23","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Clemens, Steven C 0000-0002-1136-7815","orcid":"https://orcid.org/0000-0002-1136-7815","contributorId":260117,"corporation":false,"usgs":false,"family":"Clemens","given":"Steven","email":"","middleInitial":"C","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":817314,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yamamoto, Masanobu 0000-0003-1312-825X","orcid":"https://orcid.org/0000-0003-1312-825X","contributorId":260119,"corporation":false,"usgs":false,"family":"Yamamoto","given":"Masanobu","email":"","affiliations":[{"id":16855,"text":"Hokkaido University","active":true,"usgs":false}],"preferred":false,"id":817315,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Thirumalai, Kaustubh","contributorId":127444,"corporation":false,"usgs":false,"family":"Thirumalai","given":"Kaustubh","email":"","affiliations":[{"id":6732,"text":"Geological Sciences, University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":817316,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Giosan, Liviu","contributorId":147870,"corporation":false,"usgs":false,"family":"Giosan","given":"Liviu","email":"","affiliations":[],"preferred":false,"id":817317,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Richey, Julie N. 0000-0002-2319-7980 jrichey@usgs.gov","orcid":"https://orcid.org/0000-0002-2319-7980","contributorId":174046,"corporation":false,"usgs":true,"family":"Richey","given":"Julie","email":"jrichey@usgs.gov","middleInitial":"N.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817318,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nilson-Kerr, Katrina 0000-0001-7379-2684","orcid":"https://orcid.org/0000-0001-7379-2684","contributorId":260123,"corporation":false,"usgs":false,"family":"Nilson-Kerr","given":"Katrina","email":"","affiliations":[{"id":47593,"text":"The Open University","active":true,"usgs":false}],"preferred":false,"id":817319,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rosenthal, Yair 0000-0002-7546-6011","orcid":"https://orcid.org/0000-0002-7546-6011","contributorId":260126,"corporation":false,"usgs":false,"family":"Rosenthal","given":"Yair","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":817320,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Anand, Pallavi 0000-0002-3159-0096","orcid":"https://orcid.org/0000-0002-3159-0096","contributorId":260128,"corporation":false,"usgs":false,"family":"Anand","given":"Pallavi","email":"","affiliations":[{"id":52512,"text":"Heriot-Watt University","active":true,"usgs":false}],"preferred":false,"id":817321,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"McGrath, Sarah M 0000-0003-3372-1894","orcid":"https://orcid.org/0000-0003-3372-1894","contributorId":260130,"corporation":false,"usgs":false,"family":"McGrath","given":"Sarah","email":"","middleInitial":"M","affiliations":[{"id":16929,"text":"Brown University","active":true,"usgs":false}],"preferred":false,"id":817322,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70221330,"text":"70221330 - 2021 - Oxygen-controlled recirculating seepage meter reveals extent of nitrogen transformation in discharging coastal groundwater at the aquifer–estuary interface","interactions":[],"lastModifiedDate":"2021-08-17T15:20:14.841712","indexId":"70221330","displayToPublicDate":"2021-06-04T07:30:12","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2620,"text":"Limnology and Oceanography","active":true,"publicationSubtype":{"id":10}},"title":"Oxygen-controlled recirculating seepage meter reveals extent of nitrogen transformation in discharging coastal groundwater at the aquifer–estuary interface","docAbstract":"

Nutrient loads delivered to estuaries via submarine groundwater discharge (SGD) play an important role in the nitrogen (N) budget and eutrophication status. However, accurate and reliable quantification of the chemical flux across the final decimeters and centimeters at the sediment–estuary interface remains a challenge, because there is significant potential for biogeochemical alteration due to contrasting conditions in the coastal aquifer and surface sediment. Here, a novel, oxygen- and light-regulated ultrasonic seepage meter, and a standard seepage meter, were used to measure SGD and calculate N species fluxes across the sediment–estuary interface. Coupling the measurements to an endmember approach based on subsurface N concentrations and an assumption of conservative transport enabled estimation of the extent of transformation occurring in discharging groundwater within the benthic zone. Biogeochemical transformation within reactive estuarine surface sediment was a dominant driver in modifying the N flux carried upward by SGD, and resulted in a similar percentage of N removal (~ 42–52%) as did transformations occurring deeper within the coastal aquifer salinity mixing zone (~ 42–47%). Seasonal shifts in the relative importance of biogeochemical processes including denitrification, nitrification, dissimilatory nitrate reduction, and assimilation altered the composition of the flux to estuarine surface water, which was dominated by ammonium in June and by nitrate in August, despite the endmember-based observation that fixed N in discharging groundwater was strongly dominated by nitrate. This may have important ramifications for the ecology and management of estuaries, since past N loading estimates have generally assumed conservative transport from the nearshore aquifer to estuary.

","language":"English","publisher":"Wiley","doi":"10.1002/lno.11858","usgsCitation":"Brooks, T.W., Kroeger, K.D., Michael, H.A., and York, J.K., 2021, Oxygen-controlled recirculating seepage meter reveals extent of nitrogen transformation in discharging coastal groundwater at the aquifer–estuary interface: Limnology and Oceanography, v. 66, no. 8, p. 3055-3069, https://doi.org/10.1002/lno.11858.","productDescription":"15 p.","startPage":"3055","endPage":"3069","ipdsId":"IP-124776","costCenters":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true},{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"links":[{"id":452017,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/lno.11858","text":"External Repository"},{"id":386388,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"66","issue":"8","noUsgsAuthors":false,"publicationDate":"2021-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Brooks, Thomas W. 0000-0002-0555-3398 wallybrooks@usgs.gov","orcid":"https://orcid.org/0000-0002-0555-3398","contributorId":5989,"corporation":false,"usgs":true,"family":"Brooks","given":"Thomas","email":"wallybrooks@usgs.gov","middleInitial":"W.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":817338,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kroeger, Kevin D. 0000-0002-4272-2349 kkroeger@usgs.gov","orcid":"https://orcid.org/0000-0002-4272-2349","contributorId":1603,"corporation":false,"usgs":true,"family":"Kroeger","given":"Kevin","email":"kkroeger@usgs.gov","middleInitial":"D.","affiliations":[{"id":41100,"text":"Coastal and Marine Hazards and Resources Program","active":true,"usgs":true}],"preferred":true,"id":817339,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Michael, Holly A.","contributorId":190224,"corporation":false,"usgs":false,"family":"Michael","given":"Holly","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":817340,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"York, Joanna K.","contributorId":140023,"corporation":false,"usgs":false,"family":"York","given":"Joanna","email":"","middleInitial":"K.","affiliations":[{"id":13359,"text":"University of Delaware","active":true,"usgs":false}],"preferred":false,"id":817341,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221290,"text":"70221290 - 2021 - 11-Deoxycortisol is a stress responsive and gluconeogenic hormone in the jawless vertebrate, the sea lamprey (Petromyzon marinus)","interactions":[],"lastModifiedDate":"2021-06-09T13:50:31.427044","indexId":"70221290","displayToPublicDate":"2021-06-04T07:22:16","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2275,"text":"Journal of Experimental Biology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"11-Deoxycortisol is a stress responsive and gluconeogenic hormone in the jawless vertebrate, the sea lamprey (Petromyzon marinus)","title":"11-Deoxycortisol is a stress responsive and gluconeogenic hormone in the jawless vertebrate, the sea lamprey (Petromyzon marinus)","docAbstract":"

Although corticosteroid-mediated hepatic gluconeogenic activity in response to stress has been extensively studied in fishes and other vertebrates, there is little information on the stress response in basal vertebrates. In sea lamprey (Petromyzon marinus), a representative member of the most basal extant vertebrate group Agnatha, 11-deoxycortisol and deoxycorticosterone are the major circulating corticosteroids. The present study examined changes in circulating glucose and 11-deoxycortisol concentrations in response to a physical stressor. Furthermore, the gluconeogenic actions of 11-deoxycortisol and deoxycorticosterone were examined. Within 6 h of exposure of larval and juvenile sea lamprey to an acute handling stress, plasma 11-deoxycortisol levels increased 15- and 6-fold, respectively, and plasma glucose increased 3- and 4-fold, respectively. Radiometric receptor binding studies revealed that a corticosteroid receptor (CR) is present in the liver at lower abundance than in other tissues (gill and anterior intestine) and that the binding affinity of the liver CR was similar for 11-deoxycortisol and deoxycorticosterone. Transcriptional tissue profiles indicate a wide distribution of cr transcription, kidney-specific transcription of steroidogenic acute regulatory protein (star) and liver-specific transcription of phosphoenolpyruvate carboxykinase (pepck). Ex vivo incubation of liver tissue with 11-deoxycortisol resulted in dose-dependent increases in pepck mRNA levels. Finally, intraperitoneal administration of 11-deoxycortisol and deoxycorticosterone demonstrated that only 11-deoxycortisol resulted in an increase in plasma glucose. Together, these results provide the first direct evidence for the gluconeogenic activity of 11-deoxycortisol in an agnathan, indicating that corticosteroid regulation of plasma glucose is a basal trait among vertebrates.

","language":"English","publisher":"The Company of Biologists","doi":"10.1242/jeb.241943","usgsCitation":"Shaughnessy, C.A., and McCormick, S.D., 2021, 11-Deoxycortisol is a stress responsive and gluconeogenic hormone in the jawless vertebrate, the sea lamprey (Petromyzon marinus): Journal of Experimental Biology, v. 224, no. 11, jeb241943, https://doi.org/10.1242/jeb.241943.","productDescription":"jeb241943","ipdsId":"IP-124347","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":452019,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1242/jeb.241943","text":"Publisher Index Page"},{"id":386340,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"224","issue":"11","noUsgsAuthors":false,"publicationDate":"2021-06-04","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaughnessy, Ciaran A. 0000-0003-2146-9126","orcid":"https://orcid.org/0000-0003-2146-9126","contributorId":229634,"corporation":false,"usgs":false,"family":"Shaughnessy","given":"Ciaran","email":"","middleInitial":"A.","affiliations":[{"id":37062,"text":"UMASS","active":true,"usgs":false}],"preferred":false,"id":817251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCormick, Stephen D. 0000-0003-0621-6200 smccormick@usgs.gov","orcid":"https://orcid.org/0000-0003-0621-6200","contributorId":139214,"corporation":false,"usgs":true,"family":"McCormick","given":"Stephen","email":"smccormick@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":817252,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70221792,"text":"70221792 - 2021 - Sea star wasting disease pathology in Pisaster ochraceus shows a basal-to-surface process affecting color phenotypes differently","interactions":[],"lastModifiedDate":"2021-07-07T14:27:46.714793","indexId":"70221792","displayToPublicDate":"2021-06-03T19:43:33","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1396,"text":"Diseases of Aquatic Organisms","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Sea star wasting disease pathology in Pisaster ochraceus shows a basal-to-surface process affecting color phenotypes differently","title":"Sea star wasting disease pathology in Pisaster ochraceus shows a basal-to-surface process affecting color phenotypes differently","docAbstract":"

Sea star wasting disease (SSWD) refers to a suite of poorly described non-specific clinical signs including abnormal posture, epidermal ulceration, and limb autotomy (sloughing) causing mortalities of over 20 species of sea stars and subsequent ecological shifts throughout the northeastern Pacific. While SSWD is widely assumed to be infectious, with environmental conditions facilitating disease progression, few data exist on cellular changes associated with the disease. This is unfortunate, because such observations could inform mechanisms of disease pathogenesis and host susceptibility. Here, we replicated SSWD by exposing captive Pisaster ochraceus to a suite of non-infectious organic substances and show that development of gross lesions is a basal-to-surface process involving inflammation (e.g. infiltration of coelomocytes) of ossicles and mutable collagenous tissue, leading to epidermal ulceration. Affected sea stars also manifest increases in a heretofore undocumented coelomocyte type, spindle cells, that might be a useful marker of inflammation in this species. Finally, compared to purple morphs, orange P. ochraceus developed more severe lesions but survived longer. Longer-lived, and presumably more visible, severely-lesioned orange sea stars could have important demographic implications in terms of detectability of lesioned animals in the wild and measures of apparent prevalence of disease.

","language":"English","publisher":"Inter-Research Science Publisher","doi":"10.3354/dao03598","usgsCitation":"Work, T.M., Weatherby, T.M., DeRito, C.M., Besemer, R.M., and Hewson, I., 2021, Sea star wasting disease pathology in Pisaster ochraceus shows a basal-to-surface process affecting color phenotypes differently: Diseases of Aquatic Organisms, v. 145, p. 21-33, https://doi.org/10.3354/dao03598.","productDescription":"Article: 13 p.; Data Release","startPage":"21","endPage":"33","ipdsId":"IP-126265","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":452021,"rank":3,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3354/dao03598","text":"Publisher Index Page"},{"id":386979,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":386991,"rank":2,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9LGH5ZF"}],"volume":"145","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":818734,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Weatherby, Tina M.","contributorId":260782,"corporation":false,"usgs":false,"family":"Weatherby","given":"Tina","email":"","middleInitial":"M.","affiliations":[{"id":36402,"text":"University of Hawaii","active":true,"usgs":false}],"preferred":false,"id":818735,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"DeRito, Christopher M.","contributorId":260783,"corporation":false,"usgs":false,"family":"DeRito","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":818736,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Besemer, Ryan M.","contributorId":260784,"corporation":false,"usgs":false,"family":"Besemer","given":"Ryan","email":"","middleInitial":"M.","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":818737,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hewson, Ian","contributorId":260785,"corporation":false,"usgs":false,"family":"Hewson","given":"Ian","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":818738,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221140,"text":"fs20213026 - 2021 - Water resources of St. Landry Parish, Louisiana","interactions":[],"lastModifiedDate":"2021-06-04T11:55:23.587754","indexId":"fs20213026","displayToPublicDate":"2021-06-03T11:08:01","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-3026","displayTitle":"Water Resources of St. Landry Parish, Louisiana","title":"Water resources of St. Landry Parish, Louisiana","docAbstract":"

Information concerning the availability, use, and quality of water in St. Landry Parish, Louisiana, is critical for proper water-supply management. The purpose of this fact sheet is to present information that can be used by water managers, parish residents, and others for stewardship of this vital resource. In 2014, about 116.75 million gallons per day (Mgal/d) of water were withdrawn in St. Landry Parish: about 98.13 Mgal/d from groundwater sources and 18.62 Mgal/d from surface-water sources. Withdrawals for agricultural use, composed of general irrigation, rice irrigation, aquaculture, and livestock uses, accounted for about 90 percent (105.31 Mgal/d) of the total water withdrawn. Other categories of use included public supply, which accounted for about 8 percent of the total water withdrawn (9.77 Mgal/d), industry which accounted for about 1 percent (1.03 Mgal/d), and rural domestic which accounted for about 1 percent (0.65 Mgal/d). Water-use data collected at 5-year intervals from 1960 to 2010 and again in 2014 indicated that water withdrawals peaked in 1965 at 194.57 Mgal/d due to a large reported surface-water withdrawal of 144.00 Mgal/d for power generation that was not reported for other years.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213026","collaboration":"Prepared in cooperation with the Louisiana Department of Transportation and Development","usgsCitation":"Lindaman, M.A.., and White, V.E., 2021, Water resources of St. Landry Parish, Louisiana: U.S. Geological Survey Fact Sheet 2021–3026, 6 p., https://doi.org/10.3133/fs20213026.","productDescription":"Report: 6 p.; Data Release","numberOfPages":"6","onlineOnly":"N","ipdsId":"IP-103363","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":386161,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2021/3026/coverthb.jpg"},{"id":386162,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3026/fs20213026.pdf","text":"Report","size":"2.63 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2021–3026"},{"id":386163,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F78051VM","text":"USGS data release","description":"USGS data release","linkHelpText":"Water withdrawals by source and category in Louisiana Parishes, 2014–2015"}],"country":"United States","state":"Louisiana","county":"St. Landry Parish","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-92.2132,30.8487],[-92.1078,30.8503],[-91.8154,30.8483],[-91.7978,30.8442],[-91.7977,30.8337],[-91.8041,30.8291],[-91.8078,30.8204],[-91.8089,30.8145],[-91.8067,30.8104],[-91.7987,30.8104],[-91.787,30.7976],[-91.7779,30.794],[-91.7688,30.7858],[-91.7613,30.7675],[-91.7565,30.7607],[-91.7554,30.7534],[-91.7576,30.7493],[-91.7581,30.7415],[-91.7485,30.7301],[-91.7468,30.7237],[-91.7372,30.7118],[-91.7335,30.7018],[-91.7366,30.6794],[-91.7323,30.6725],[-91.7328,30.668],[-91.7445,30.6625],[-91.7466,30.6588],[-91.7444,30.6401],[-91.7412,30.6327],[-91.7449,30.6254],[-91.7508,30.6231],[-91.7539,30.6176],[-91.755,30.6126],[-91.7512,30.5994],[-91.7544,30.5861],[-91.7549,30.5742],[-91.757,30.5687],[-91.7575,30.5628],[-91.7559,30.5596],[-91.7425,30.5317],[-91.733,30.5203],[-91.7319,30.5125],[-91.7324,30.5102],[-91.7361,30.5084],[-91.7472,30.5093],[-91.7525,30.5079],[-91.7568,30.4978],[-91.7546,30.4855],[-91.7509,30.4786],[-91.7439,30.4709],[-91.7423,30.4576],[-91.7397,30.4531],[-91.7365,30.4517],[-91.7227,30.4526],[-91.719,30.4494],[-91.7131,30.4321],[-91.6988,30.4147],[-91.6977,30.412],[-91.6945,30.4019],[-91.6802,30.3974],[-91.6791,30.3951],[-91.8126,30.3962],[-91.8205,30.398],[-91.8301,30.4025],[-91.8327,30.4057],[-91.8433,30.4075],[-91.8497,30.4066],[-91.8545,30.4116],[-91.8571,30.413],[-91.8656,30.4166],[-91.8688,30.4184],[-91.8916,30.4101],[-91.8953,30.4087],[-91.9074,30.4045],[-91.9143,30.4027],[-91.9317,30.3971],[-91.9381,30.3971],[-91.9429,30.3998],[-91.9546,30.4066],[-91.9652,30.4107],[-91.9705,30.4121],[-91.9784,30.4079],[-91.9805,30.4043],[-91.9831,30.3923],[-91.9814,30.3818],[-91.9862,30.3754],[-91.9893,30.3704],[-91.9962,30.3708],[-92.0015,30.3671],[-92.0052,30.3662],[-92.0089,30.3684],[-92.0126,30.3716],[-92.0226,30.3643],[-92.0258,30.361],[-92.0295,30.3606],[-92.0353,30.3642],[-92.0407,30.3692],[-92.0423,30.3751],[-92.0465,30.3792],[-92.0497,30.3801],[-92.0545,30.3769],[-92.0582,30.3737],[-92.0634,30.3714],[-92.0724,30.3645],[-92.0814,30.3612],[-92.0851,30.3575],[-92.086,30.3475],[-92.0881,30.3356],[-92.0933,30.3314],[-92.0986,30.3305],[-92.1423,30.2991],[-92.1419,30.3151],[-92.1419,30.317],[-92.1419,30.3206],[-92.1504,30.321],[-92.1589,30.321],[-92.1584,30.332],[-92.1591,30.3503],[-92.1755,30.3511],[-92.1757,30.3717],[-92.1763,30.3762],[-92.1764,30.3932],[-92.1759,30.4005],[-92.1773,30.438],[-92.2117,30.4382],[-92.2446,30.4371],[-92.2447,30.4517],[-92.245,30.4805],[-92.2588,30.4804],[-92.2688,30.4808],[-92.455,30.4816],[-92.4942,30.4818],[-92.4874,30.4878],[-92.4805,30.4924],[-92.471,30.4939],[-92.4657,30.4967],[-92.4637,30.5008],[-92.4659,30.5108],[-92.4622,30.5163],[-92.4592,30.5246],[-92.4508,30.532],[-92.4397,30.5362],[-92.4285,30.5363],[-92.4227,30.5386],[-92.4148,30.5405],[-92.2795,30.5388],[-92.263,30.5385],[-92.2622,30.5682],[-92.2113,30.569],[-92.2117,30.6129],[-92.2107,30.6198],[-92.2064,30.6216],[-92.2038,30.6257],[-92.206,30.6299],[-92.2044,30.6331],[-92.2055,30.6353],[-92.2034,30.6372],[-92.205,30.639],[-92.2008,30.6477],[-92.2009,30.6564],[-92.1945,30.6596],[-92.1887,30.6647],[-92.1861,30.667],[-92.1797,30.6661],[-92.175,30.6762],[-92.1729,30.6758],[-92.1694,30.7677],[-92.1774,30.7685],[-92.1816,30.7694],[-92.187,30.7758],[-92.1918,30.7785],[-92.1977,30.7798],[-92.2073,30.7848],[-92.2079,30.7889],[-92.2127,30.7948],[-92.2132,30.8487]]]},\"properties\":{\"name\":\"Saint Landry\",\"state\":\"LA\"}}]}","contact":"

Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
3535 S. Sherwood Forest Blvd., Suite 120
Baton Rouge, LA 70816

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2021-06-03","noUsgsAuthors":false,"publicationDate":"2021-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Lindaman, Maxwell A. 0000-0003-1786-1272","orcid":"https://orcid.org/0000-0003-1786-1272","contributorId":219064,"corporation":false,"usgs":true,"family":"Lindaman","given":"Maxwell A.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816833,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Vincent E. 0000-0002-1660-0102 vwhite@usgs.gov","orcid":"https://orcid.org/0000-0002-1660-0102","contributorId":5388,"corporation":false,"usgs":true,"family":"White","given":"Vincent","email":"vwhite@usgs.gov","middleInitial":"E.","affiliations":[{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816834,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70221138,"text":"sir20215013 - 2021 - Workflow for using unmanned aircraft systems and traditional geospatial data to delineate agricultural drainage tiles at edge-of-field sites","interactions":[],"lastModifiedDate":"2021-06-04T11:49:06.69849","indexId":"sir20215013","displayToPublicDate":"2021-06-03T10:27:40","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5013","displayTitle":"Workflow for Using Unmanned Aircraft Systems and Traditional Geospatial Data to Delineate Agricultural Drainage Tiles at Edge-of-Field Sites","title":"Workflow for using unmanned aircraft systems and traditional geospatial data to delineate agricultural drainage tiles at edge-of-field sites","docAbstract":"

Managing nutrient and sediment runoff from fields that drain to the Great Lakes is key to mitigating harmful algal blooms. Implementation of best management practices on agricultural land is considered a critical step to improving water quality in these streams, however the effect of these best management practices is difficult to quantify. The purpose of this study was to use a suite of high-resolution imagery acquired with unmanned aircraft systems (including a combination of visible, multispectral, and thermal cameras) to better characterize edge-of-field (EOF) sites in Michigan and Wisconsin that are monitored in cooperation with the Great Lakes Restoration Initiative. This high-resolution imagery (2.5–12-centimeter ground resolution) was used to delineate artificial subsurface drainage (tile-drain) networks and surface water flow paths that indicate contributing areas (that is, all area that drains to a monitored point) at these EOF sites, providing better characterization of each study site. Contributing areas for these sites ranged from 2.86 to 5.07 hectares and, among the sites, tile drains were identified as those that followed soil properties and those that were more densely patterned networks. These surveys also indicated that the contributing area monitored at the EOF sites may cross field boundaries and is not always coincident with the area underlain by subsurface drainage.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20215013","usgsCitation":"Webber, J.J., and Williamson, T.N., 2021, Workflow for using unmanned aircraft systems and traditional geospatial data to delineate agricultural drainage tiles at edge-of-field sites: U.S. Geological Survey Scientific Investigations Report 2021–5013, 18 p., https://doi.org/10.3133/sir20215013.","productDescription":"Report: vii, 18 p.; Data Releases: 4","numberOfPages":"30","onlineOnly":"Y","ipdsId":"IP-118324","costCenters":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"links":[{"id":386180,"rank":7,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/sir/2021/5013/images"},{"id":386154,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2021/5013/coverthb.jpg"},{"id":386155,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2021/5013/sir20215013.pdf","text":"Report","size":"17.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2021–5013"},{"id":386156,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EXXX2O","text":"USGS data release","description":"USGS data release","linkHelpText":"Low-altitude visible, multispectral, and thermal-infrared imagery from edge-of-field monitoring sites for Great Lakes Restoration Initiative - 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Director, Ohio-Kentucky-Indiana Water Science Center
U.S. Geological Survey
5957 Lakeside Boulevard
Indianapolis, IN 46278

","tableOfContents":"","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"publishedDate":"2021-06-03","noUsgsAuthors":false,"publicationDate":"2021-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Webber, J. Jeremy 0000-0002-2512-2448","orcid":"https://orcid.org/0000-0002-2512-2448","contributorId":259209,"corporation":false,"usgs":true,"family":"Webber","given":"J.","email":"","middleInitial":"Jeremy","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816830,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williamson, Tanja N. 0000-0002-7639-8495 tnwillia@usgs.gov","orcid":"https://orcid.org/0000-0002-7639-8495","contributorId":198329,"corporation":false,"usgs":true,"family":"Williamson","given":"Tanja","email":"tnwillia@usgs.gov","middleInitial":"N.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816831,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70221708,"text":"70221708 - 2021 - Online-coupling of widely-ranged timescales to model coral reef development","interactions":[],"lastModifiedDate":"2021-06-29T14:46:51.786211","indexId":"70221708","displayToPublicDate":"2021-06-03T09:44:40","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7599,"text":"Environmental Modeling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Online-coupling of widely-ranged timescales to model coral reef development","docAbstract":"

The increasing pressure on Earth's ecosystems due to climate change is becoming more and more evident and the impacts of climate change are especially visible on coral reefs. Understanding how climate change interacts with the physical environment of reefs to impact coral growth and reef development is critically important to predicting the persistence of reefs into the future. In this study, a biophysical model was developed including four environmental factors in a feedback loop with the coral's biology: (1) light; (2) hydrodynamics; (3) temperature; and (4) pH. The submodels are online coupled, i.e. regularly exchanging information and feedbacks while the model runs. This ensures computational efficiency despite the widely-ranged timescales. The composed biophysical model provides a significant step forward in understanding the processes that modulate the evolution of coral reefs, as it is the first construction of a model in which the hydrodynamics are included in the feedback loop.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2021.105103","usgsCitation":"Hendrickx, G., Herman, P.M., Dijkstra, J.T., Storlazzi, C.D., and Toth, L., 2021, Online-coupling of widely-ranged timescales to model coral reef development: Environmental Modeling and Software, v. 143, 105103, 12 p., https://doi.org/10.1016/j.envsoft.2021.105103.","productDescription":"105103, 12 p.","ipdsId":"IP-121545","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":452022,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.envsoft.2021.105103","text":"Publisher Index Page"},{"id":386863,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"143","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hendrickx, Gijs","contributorId":260697,"corporation":false,"usgs":false,"family":"Hendrickx","given":"Gijs","email":"","affiliations":[{"id":27619,"text":"TU Delft","active":true,"usgs":false}],"preferred":false,"id":818489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Herman, Peter M. J.","contributorId":207157,"corporation":false,"usgs":false,"family":"Herman","given":"Peter","email":"","middleInitial":"M. J.","affiliations":[{"id":37466,"text":"Department of Estuarine and Delta Systems, Royal Netherlands Institute for Sea Research (NIOZ) and Utrecht University, PO Box 140, Yerseke NL-4400 AC, The Netherlands","active":true,"usgs":false}],"preferred":false,"id":818490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dijkstra, Jasper T.","contributorId":260698,"corporation":false,"usgs":false,"family":"Dijkstra","given":"Jasper","email":"","middleInitial":"T.","affiliations":[{"id":36257,"text":"Deltares","active":true,"usgs":false}],"preferred":false,"id":818491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Storlazzi, Curt D. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":213610,"corporation":false,"usgs":true,"family":"Storlazzi","given":"Curt","middleInitial":"D.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":818492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Toth, Lauren T. 0000-0002-2568-802X ltoth@usgs.gov","orcid":"https://orcid.org/0000-0002-2568-802X","contributorId":181748,"corporation":false,"usgs":true,"family":"Toth","given":"Lauren","email":"ltoth@usgs.gov","middleInitial":"T.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":818493,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70221160,"text":"70221160 - 2021 - Wildfires and global change","interactions":[],"lastModifiedDate":"2021-09-14T16:12:05.927395","indexId":"70221160","displayToPublicDate":"2021-06-03T07:35:57","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Wildfires and global change","docAbstract":"

No single factor produces wildfires; rather, they occur when fire thresholds (ignitions, fuels, and drought) are crossed. Anomalous weather events may lower these thresholds and thereby enhance the likelihood and spread of wildfires. Climate change increases the frequency with which some of these thresholds are crossed, extending the duration of the fire season and increasing the frequency of dry years. However, climate-related factors do not explain all of the complexity of global fire-regime changes, as altered ignition patterns (eg human behavior) and fuel structures (eg land-use changes, fire suppression, drought-induced dieback, fragmentation) are extremely important. When the thresholds are crossed, the size of a fire will largely depend on the duration of the fire weather and the extent of the available area with continuous fuels in the landscape.

","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.2359","usgsCitation":"Pausas, J.G., and Keeley, J., 2021, Wildfires and global change: Frontiers in Ecology and the Environment, v. 19, no. 7, p. 387-395, https://doi.org/10.1002/fee.2359.","productDescription":"9 p.","startPage":"387","endPage":"395","ipdsId":"IP-118147","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":386197,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Australia","otherGeospatial":"southeast Australia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 140.97656250000003,\n -38.68550976001201\n ],\n [\n 150.732421875,\n -38.68550976001201\n ],\n [\n 150.732421875,\n -31.128199299111984\n ],\n [\n 140.97656250000003,\n -31.128199299111984\n ],\n [\n 140.97656250000003,\n -38.68550976001201\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"19","issue":"7","noUsgsAuthors":false,"publicationDate":"2021-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Pausas, Juli G.","contributorId":197439,"corporation":false,"usgs":false,"family":"Pausas","given":"Juli","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":816910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Keeley, Jon 0000-0002-4564-6521","orcid":"https://orcid.org/0000-0002-4564-6521","contributorId":216485,"corporation":false,"usgs":true,"family":"Keeley","given":"Jon","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":816911,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70259656,"text":"70259656 - 2021 - Raising the West: Mid-Cenozoic Colorado-plano related to subvolcanic batholith assembly in the Southern Rocky Mountains (USA)?","interactions":[],"lastModifiedDate":"2024-10-18T12:18:33.059578","indexId":"70259656","displayToPublicDate":"2021-06-03T07:16:49","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Raising the West: Mid-Cenozoic Colorado-plano related to subvolcanic batholith assembly in the Southern Rocky Mountains (USA)?","docAbstract":"

The Southern Rocky Mountains of Colorado, United States, have the highest regional elevation in North America, but present-day crustal thickness (∼42–47 km) is no greater than for the adjacent, topographically lower High Plains and Colorado Plateau. The chemistry of continental-arc rocks of the mid-Cenozoic Southern Rocky Mountain volcanic field, calibrated to compositions and Moho depths at young arcs, suggests that paleocrustal thickness may have been 20%–35% greater than at present and elevations accordingly higher. Thick mid-Cenozoic Rocky Mountain crust and high paleo-elevations, comparable to those inferred for the Nevadaplano farther west in the United States from analogous volcanic chemistry, could be consistent with otherwise-perplexing evidence for widespread rapid erosion during volcanism. Variable mid-Cenozoic crustal thickening and uplift could have resulted from composite batholith growth during volcanism, superimposed on prior crustal thickening during early Cenozoic (Laramide) compression. Alternatively, the arc–crustal thickness calibration may be inappropriate for high-potassium continental arcs, in which case other published interpretations using similar methods may also be unreliable.

","language":"English","publisher":"Geological Society of America","doi":"10.1130/G48963.1","usgsCitation":"Lipman, P.W., 2021, Raising the West: Mid-Cenozoic Colorado-plano related to subvolcanic batholith assembly in the Southern Rocky Mountains (USA)?: Geology, v. 49, no. 9, p. 1107-1111, https://doi.org/10.1130/G48963.1.","productDescription":"5 p.","startPage":"1107","endPage":"1111","ipdsId":"IP-128279","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":462997,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, New Mexico","otherGeospatial":"Southern Rocky Mountains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -108.23198775685327,\n 39.97501601168983\n ],\n [\n -108.23198775685327,\n 35.24337666638678\n ],\n [\n -103.79351119435339,\n 35.24337666638678\n ],\n [\n -103.79351119435339,\n 39.97501601168983\n ],\n [\n -108.23198775685327,\n 39.97501601168983\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"49","issue":"9","noUsgsAuthors":false,"publicationDate":"2021-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Lipman, Peter W. 0000-0001-9175-6118","orcid":"https://orcid.org/0000-0001-9175-6118","contributorId":203612,"corporation":false,"usgs":true,"family":"Lipman","given":"Peter","email":"","middleInitial":"W.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":916160,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70254573,"text":"70254573 - 2021 - Effects of climate and irrigation on GRACE-based estimates of water storage changes in major US aquifers","interactions":[],"lastModifiedDate":"2024-06-03T11:50:37.905478","indexId":"70254573","displayToPublicDate":"2021-06-03T06:45:57","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1562,"text":"Environmental Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Effects of climate and irrigation on GRACE-based estimates of water storage changes in major US aquifers","docAbstract":"

Understanding climate and human impacts on water storage is critical for sustainable water-resources management. Here we assessed climate and human drivers of total water storage (TWS) variability from Gravity Recovery and Climate Experiment (GRACE) satellites compared with drought severity and irrigation water use in 14 major aquifers in the United States. Results show that long-term variability in TWS tracked by GRACE satellites is dominated by interannual variability in most of the 14 major US aquifers. Low TWS trends in the humid eastern U.S. are linked to low drought intensity. Although irrigation pumpage in the humid Mississippi Embayment aquifer exceeded that in the semi-arid California Central Valley, a surprising lack of TWS depletion in the Mississippi Embayment aquifer is attributed to extensive streamflow capture. Marked storage depletion in the semi-arid southwestern Central Valley and south-central High Plains totaled ∼90 km3, about three times greater than the capacity of Lake Mead, the largest U.S. reservoir. Depletion in the Central Valley was driven by long-term droughts (⩽5 yr) amplified by switching from mostly surface water to groundwater irrigation. Low or slightly rising TWS trends in the northwestern (Columbia and Snake Basins) US are attributed to dampening drought impacts by mostly surface water irrigation. GRACE satellite data highlight synergies between climate and irrigation, resulting in little impact on TWS in the humid east, amplified TWS depletion in the semi-arid southwest and southcentral US, and dampened TWS deletion in the northwest and north central US Sustainable groundwater management benefits from conjunctive use of surface water and groundwater, inefficient surface water irrigation promoting groundwater recharge, efficient groundwater irrigation minimizing depletion, and increasing managed aquifer recharge. This study has important implications for sustainable water development in many regions globally.

","language":"English","publisher":"IOPScience","doi":"10.1088/1748-9326/ac16ff","usgsCitation":"Scanlon, B.R., Rateb, A., Pool, D., Sanford, W.E., Save, H., Sun, A.Y., Long, D., and Fuchs, B., 2021, Effects of climate and irrigation on GRACE-based estimates of water storage changes in major US aquifers: Environmental Research Letters, v. 16, no. 9, 094009, 14 p., https://doi.org/10.1088/1748-9326/ac16ff.","productDescription":"094009, 14 p.","ipdsId":"IP-130369","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":452025,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ac16ff","text":"Publisher Index Page"},{"id":429443,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n 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Pickle Research Campus, Bldg. 130, 10100 Burnet Rd., Austin, TX 78758-4445","active":true,"usgs":false}],"preferred":false,"id":901930,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rateb, Ahsraf 0000-0002-8875-1508","orcid":"https://orcid.org/0000-0002-8875-1508","contributorId":337082,"corporation":false,"usgs":false,"family":"Rateb","given":"Ahsraf","affiliations":[{"id":80965,"text":"Bureau of Economic Geology, University of Texas","active":true,"usgs":false}],"preferred":false,"id":901931,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pool, Donald R. 0001-1234-4321-0505","orcid":"https://orcid.org/0001-1234-4321-0505","contributorId":337083,"corporation":false,"usgs":false,"family":"Pool","given":"Donald R.","affiliations":[{"id":80967,"text":"Retired USGS, Arizona Water Science Center","active":true,"usgs":false}],"preferred":false,"id":901932,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":337084,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":901933,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Save, Himanshu","contributorId":187510,"corporation":false,"usgs":false,"family":"Save","given":"Himanshu","email":"","affiliations":[],"preferred":false,"id":902001,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sun, Alexander Y. 0000-0002-6365-8526","orcid":"https://orcid.org/0000-0002-6365-8526","contributorId":302987,"corporation":false,"usgs":false,"family":"Sun","given":"Alexander","email":"","middleInitial":"Y.","affiliations":[{"id":12430,"text":"University of Texas at Austin","active":true,"usgs":false}],"preferred":false,"id":902002,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Long, Di","contributorId":187511,"corporation":false,"usgs":false,"family":"Long","given":"Di","email":"","affiliations":[],"preferred":false,"id":902003,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Fuchs, Brian","contributorId":192359,"corporation":false,"usgs":false,"family":"Fuchs","given":"Brian","email":"","affiliations":[],"preferred":false,"id":902004,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70221135,"text":"fs20213029 - 2021 - Tracking the source of metals to the San Juan River","interactions":[],"lastModifiedDate":"2021-07-06T22:47:09.05124","indexId":"fs20213029","displayToPublicDate":"2021-06-03T06:22:10","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-3029","displayTitle":"Tracking the Source of Metals to the San Juan River","title":"Tracking the source of metals to the San Juan River","docAbstract":"

Introduction

The San Juan River is a major water source for communities in the Four Corners Region of the United States (Colorado, Arizona, New Mexico, Utah) and is a vital source of water for the Navajo Nation. The Navajo Nation Environmental Protection Agency (NNEPA) periodically samples surface water on the Navajo Nation and has found that some elements exceed NNEPA surface water standards (the upper limits of an element for consumption or other use of water). Constituents of concern are substances that could be harmful if present in sufficient quantities, and it is important to keep track of the concentrations of these substances in the environment. In the San Juan River, constituents of concern include metals detected in river water, such as arsenic, lead, and aluminum. These metals can come from natural sources or can result from human activities (anthropogenic) and can affect the health of people, plants, and animals. The Animas River is one natural source of metals to the San Juan River because of the types of rock through which the Animas River flows and because of hard rock mining at the headwaters. Other potential sources of metals are oil and gas development, coal mining, coal-fired power plants, urban areas, illegal trash dumping, abandoned uranium mines and mills, overgrazed areas, natural geology, and leaching from subsurface agricultural return flows. Determining how much each of these sources contributes and the relative effect of each source on San Juan River water will help the Navajo Nation in their efforts to protect human health and the environment along the San Juan River.

The U.S. Geological Survey (USGS) is working with the NNEPA to identify sources of metals and trace elements entering the San Juan River from tributaries in the reach flowing through the Navajo Nation and to quantify the contribution from each natural and human-caused source. The USGS and NNEPA worked with local community members to locate tributaries where sampling equipment was installed. The 3-year source-tracking project, starting in spring 2021, will identify where metals at concentrations above safe surface water standards might be entering the river by evaluating the chemical signatures of water in the major tributaries of the San Juan River. Results will provide valuable information to the Navajo Nation, public drinking-water managers, irrigation districts, other stakeholders, scientists, and the public.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20213029","collaboration":"Prepared in cooperation with the Navajo Nation Environmental Protection Agency","usgsCitation":"Blake, J.M., Chavarria, S.B., and Matherne, A.M., 2021, Tracking the source of metals to the San Juan River (ver. 1.1, July 2021): U.S. Geological Survey Fact Sheet 2021–3029, 4 p., https://doi.org/10.3133/fs20213029.","productDescription":"4 p.","numberOfPages":"4","onlineOnly":"N","ipdsId":"IP-128185","costCenters":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"links":[{"id":386921,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2021/3029/versionHist.txt","text":"Version History","size":"1 kB","linkFileType":{"id":2,"text":"txt"},"description":"FS 2021–3029 Version History"},{"id":386149,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2021/3029/coverthb2.jpg"},{"id":386150,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2021/3029/fs20213029.pdf","text":"Report","size":"13.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2021–3029"}],"country":"United States","state":"Colorado, Arizona, New Mexico, Utah","otherGeospatial":"San Juan River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -111.4892578125,\n 35.37113502280101\n ],\n [\n -106.61132812499999,\n 35.37113502280101\n ],\n [\n -106.61132812499999,\n 38.151837403006766\n ],\n [\n -111.4892578125,\n 38.151837403006766\n ],\n [\n -111.4892578125,\n 35.37113502280101\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: June 3, 2021; Version 1.1: July 2, 2021","contact":"

Director, New Mexico Water Science Center
U.S. Geological Survey
6700 Edith Blvd. NE
Albuquerque, NM 87113

","tableOfContents":"","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2021-06-03","revisedDate":"2021-07-01","noUsgsAuthors":false,"publicationDate":"2021-06-03","publicationStatus":"PW","contributors":{"authors":[{"text":"Blake, Johanna M. 0000-0003-4667-0096 jmtblake@usgs.gov","orcid":"https://orcid.org/0000-0003-4667-0096","contributorId":169698,"corporation":false,"usgs":true,"family":"Blake","given":"Johanna","email":"jmtblake@usgs.gov","middleInitial":"M.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816825,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chavarria, Shaleene B. 0000-0001-8792-1010","orcid":"https://orcid.org/0000-0001-8792-1010","contributorId":223376,"corporation":false,"usgs":true,"family":"Chavarria","given":"Shaleene","email":"","middleInitial":"B.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816826,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Matherne, Anne-Marie 0000-0002-5873-2226","orcid":"https://orcid.org/0000-0002-5873-2226","contributorId":32279,"corporation":false,"usgs":true,"family":"Matherne","given":"Anne-Marie","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816827,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70260971,"text":"70260971 - 2021 - Benzotriazole concentrations in airport runoff are reduced following changes in airport deicer formulations","interactions":[],"lastModifiedDate":"2024-11-19T19:07:08.734559","indexId":"70260971","displayToPublicDate":"2021-06-02T12:45:28","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2006,"text":"Integrated Environmental Assessment and Management","active":true,"publicationSubtype":{"id":10}},"title":"Benzotriazole concentrations in airport runoff are reduced following changes in airport deicer formulations","docAbstract":"

A comparison of the presence of additives in airport deicers commonly used in the United States and in airport runoff was conducted with data collected before and after changes in deicer formulations. Three isomers of benzotriazoles (BTs)—4-methyl-1H-benzotriazole (4-MeBT), 5-methyl-1H-benzotriazole (5-MeBT), and 1H-benzotriazole (1H-BT)—are corrosion inhibitors added to some formulations of airport deicers and are reported to be a source of aquatic toxicity in streams receiving airport runoff. Concentrations of BT in aircraft deicers and anti-icing fluids (ADAF) were reduced over time but were not reduced in potassium acetate airfield-pavement deicer material (PDM) that was used throughout the study period. Streams receiving runoff from Milwaukee Mitchell International Airport, Milwaukee, Wisconsin, USA, were monitored from 2004 to 2019 for BTs, with concentrations of 4-MeBT varying from <0.35 to 4600 µg/L, 5-MeBT varying from <0.25 to 6600 µg/L, and 1H-BT varying from <0.25 to 150 µg/L. Median 4-MeBT concentrations at sites downstream from the airport decreased by approximately 74%, 5-MeBT by 69%, and 1H-BT by 82% following reduction in BTs in ADAF formulations, resulting in a reduction in the potential for aquatic toxicity in receiving streams. A change in residuals from regression analysis between freezing point depressants and BTs indicate that the reduction in BT concentrations in airport runoff was a result of BT reduction in ADAF formulations, but PDM may still be a substantial source of BTs in airport runoff. Because BTs are a source of aquatic toxicity in airport deicers, the reductions in BTs in the common deicers observed in this study can be used to demonstrate the potential for a reduction in the effects to aquatic organisms in airport runoff, resulting in greater likelihood of meeting aquatic toxicity requirements in airport stormwater permits, and potentially driving airports, airlines, and permit holders to advocate further reduction or elimination of BTs and other harmful contaminants in airport deicers.

","language":"English","publisher":"Wiley","doi":"10.1002/ieam.4468","usgsCitation":"Olds, H., Corsi, S., and Rutter, T.D., 2021, Benzotriazole concentrations in airport runoff are reduced following changes in airport deicer formulations: Integrated Environmental Assessment and Management, v. 18, no. 1, p. 245-257, https://doi.org/10.1002/ieam.4468.","productDescription":"13 p.","startPage":"245","endPage":"257","ipdsId":"IP-119323","costCenters":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":467241,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ieam.4468","text":"Publisher Index Page"},{"id":464297,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Wisconsin","city":"Milwaukee","otherGeospatial":"Milwaukee Mitchell International Airport","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -87.93312340482309,\n 42.95913686851276\n ],\n [\n -87.93312340482309,\n 42.93182296880775\n ],\n [\n -87.87946797516405,\n 42.93182296880775\n ],\n [\n -87.87946797516405,\n 42.95913686851276\n ],\n [\n -87.93312340482309,\n 42.95913686851276\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"18","issue":"1","noUsgsAuthors":false,"publicationDate":"2021-05-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Olds, Hayley T. 0000-0002-6701-6459 htolds@usgs.gov","orcid":"https://orcid.org/0000-0002-6701-6459","contributorId":215837,"corporation":false,"usgs":true,"family":"Olds","given":"Hayley","email":"htolds@usgs.gov","middleInitial":"T.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918759,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Corsi, Steven R. 0000-0003-0583-5536 srcorsi@usgs.gov","orcid":"https://orcid.org/0000-0003-0583-5536","contributorId":172002,"corporation":false,"usgs":true,"family":"Corsi","given":"Steven R.","email":"srcorsi@usgs.gov","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918760,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rutter, Troy D. 0000-0001-5130-204X tdrutter@usgs.gov","orcid":"https://orcid.org/0000-0001-5130-204X","contributorId":2081,"corporation":false,"usgs":true,"family":"Rutter","given":"Troy","email":"tdrutter@usgs.gov","middleInitial":"D.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":918761,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70266846,"text":"70266846 - 2021 - Bakken and Three Forks Formations, Williston basin, North Dakota and Montana","interactions":[],"lastModifiedDate":"2025-05-13T15:11:58.405547","indexId":"70266846","displayToPublicDate":"2021-06-02T10:06:51","publicationYear":"2021","noYear":false,"publicationType":{"id":25,"text":"Newsletter"},"publicationSubtype":{"id":30,"text":"Newsletter"},"seriesTitle":{"id":10812,"text":"AAPG Wiki","active":true,"publicationSubtype":{"id":30}},"title":"Bakken and Three Forks Formations, Williston basin, North Dakota and Montana","docAbstract":"

No abstract available.

","language":"English","publisher":"AAPG","usgsCitation":"Marra, K.R., 2021, Bakken and Three Forks Formations, Williston basin, North Dakota and Montana: AAPG Wiki, HTML Document.","productDescription":"HTML Document","ipdsId":"IP-130605","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":485816,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":485780,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://wiki.aapg.org/Bakken_and_Three_Forks_Formations,_Williston_Basin,_North_Dakota_and_Montana_(USGS)"}],"country":"United States","state":"Montana, North Dakota","otherGeospatial":"Williston Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -99.03368781402939,\n 48.935088967258395\n ],\n [\n -109,\n 48.98010987394832\n ],\n [\n -108,\n 47.95936361978946\n ],\n [\n -108.5,\n 47.66657644728508\n ],\n [\n -107.67460552114248,\n 46.45910912717551\n ],\n [\n -103.6257240246782,\n 44.78697680676214\n ],\n [\n -100.6335900509843,\n 44\n ],\n [\n -98.5092326714922,\n 45.506827828676336\n ],\n [\n -98.37167666641092,\n 47.668755355733936\n ],\n [\n -99.03368781402939,\n 48.935088967258395\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2021-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":936900,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70229459,"text":"70229459 - 2021 - The roles of environmental variation and parasite survival in virulence–transmission relationships","interactions":[],"lastModifiedDate":"2022-03-09T15:44:13.307405","indexId":"70229459","displayToPublicDate":"2021-06-02T09:39:21","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3908,"text":"Royal Society Open Science","active":true,"publicationSubtype":{"id":10}},"title":"The roles of environmental variation and parasite survival in virulence–transmission relationships","docAbstract":"

Disease outbreaks are a consequence of interactions among the three components of a host–parasite system: the infectious agent, the host and the environment. While virulence and transmission are widely investigated, most studies of parasite life-history trade-offs are conducted with theoretical models or tractable experimental systems where transmission is standardized and the environment controlled. Yet, biotic and abiotic environmental factors can strongly affect disease dynamics, and ultimately, host–parasite coevolution. Here, we review research on how environmental context alters virulence–transmission relationships, focusing on the off-host portion of the parasite life cycle, and how variation in parasite survival affects the evolution of virulence and transmission. We review three inter-related ‘approaches’ that have dominated the study of the evolution of virulence and transmission for different host–parasite systems: (i) evolutionary trade-off theory, (ii) parasite local adaptation and (iii) parasite phylodynamics. These approaches consider the role of the environment in virulence and transmission evolution from different angles, which entail different advantages and potential biases. We suggest improvements to how to investigate virulence–transmission relationships, through conceptual and methodological developments and taking environmental context into consideration. By combining developments in life-history evolution, phylogenetics, adaptive dynamics and comparative genomics, we can improve our understanding of virulence–transmission relationships across a diversity of host–parasite systems that have eluded experimental study of parasite life history.

","language":"English","publisher":"Royal Society Publishing","doi":"10.1098/rsos.210088","usgsCitation":"Turner, W.C., Kamath, P., van Heerden, H., Huang, Y., Barandongo, Z., Bruce, S.A., and Kausrud, K., 2021, The roles of environmental variation and parasite survival in virulence–transmission relationships: Royal Society Open Science, v. 8, no. 6, 210088, 21 p., https://doi.org/10.1098/rsos.210088.","productDescription":"210088, 21 p.","ipdsId":"IP-125282","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":452029,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1098/rsos.210088","text":"Publisher Index Page"},{"id":396918,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"6","noUsgsAuthors":false,"publicationDate":"2021-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Turner, Wendy Christine 0000-0002-0302-1646","orcid":"https://orcid.org/0000-0002-0302-1646","contributorId":287053,"corporation":false,"usgs":true,"family":"Turner","given":"Wendy","email":"","middleInitial":"Christine","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":837533,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kamath, Pauline L.","contributorId":288151,"corporation":false,"usgs":false,"family":"Kamath","given":"Pauline L.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":837534,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"van Heerden, Henriette","contributorId":288152,"corporation":false,"usgs":false,"family":"van Heerden","given":"Henriette","affiliations":[{"id":48053,"text":"University of Pretoria","active":true,"usgs":false}],"preferred":false,"id":837535,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Huang, Yen-Hua","contributorId":288153,"corporation":false,"usgs":false,"family":"Huang","given":"Yen-Hua","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":837536,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Barandongo, Zoe R.","contributorId":288154,"corporation":false,"usgs":false,"family":"Barandongo","given":"Zoe R.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":837537,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bruce, Spencer A.","contributorId":288155,"corporation":false,"usgs":false,"family":"Bruce","given":"Spencer","email":"","middleInitial":"A.","affiliations":[{"id":61712,"text":"University of Albany SUNY","active":true,"usgs":false}],"preferred":false,"id":837538,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Kausrud, Kyrre","contributorId":288159,"corporation":false,"usgs":false,"family":"Kausrud","given":"Kyrre","affiliations":[{"id":61713,"text":"Norwegian Veterinary Institute","active":true,"usgs":false}],"preferred":false,"id":837539,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70220892,"text":"ofr20211062 - 2021 - Impacts of sediment removal from and placement in coastal barrier island systems","interactions":[],"lastModifiedDate":"2025-05-14T13:29:56.473965","indexId":"ofr20211062","displayToPublicDate":"2021-06-02T09:00:08","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-1062","displayTitle":"Impacts of Sediment Removal from and Placement in Coastal Barrier Island Systems","title":"Impacts of sediment removal from and placement in coastal barrier island systems","docAbstract":"

Executive Summary

On June 24, 2019, Congressman Raul Grijalva of Arizona, Chair of the House Committee on Natural Resources, sent a letter to the directors of the U.S. Fish and Wildlife Service and the U.S. Geological Survey to request their assistance in answering questions regarding coastal sediment resource management within the Coastal Barrier Resources System as defined by the Coastal Barrier Resources Act (Public Law 97–348; 96 Stat. 1653; 16 U.S.C. 3501 et seq.). For the purposes of this response, coastal sediment resource management refers to the removal of sediment from one part of a barrier island system for placement in another part of the coastal system, for either hazard mitigation (for example, erosion or flood control) or coastal restoration (for example, expansion or restoration of beach, dune, and [or] marsh habitats). The specific topics of concern are as follows (paraphrased from Congressman Grijalva’s letter):

1. Disruption of coastal sediment supply resulting from sediment removal and placement, including the replenishment rate of removed sediments and impacts to other components of the barrier island system (discussed in sec. 3).

2. Physical and biological impacts of sediment removal and placement on benthic habitats (discussed in sec. 4).

3. Impacts of sediment removal and placement on fish and other marine species (discussed in sec. 5).

4. Changes in migratory bird nesting and foraging habitats resulting from sediment removal and placement (discussed in sec. 6).

5. Long-term impacts of sediment removal and placement on physical coastal resiliency (discussed in sec. 7).

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20211062","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","programNote":"Coastal and Marine Hazards and Resources Program and Ecosystems Mission Area","usgsCitation":"Miselis, J.L., Flocks, J.G., Zeigler, S., Passeri, D., Smith, D.R., Bourque, J., Sherwood, C.R., Smith, C.G., Ciarletta, D.J., Smith, K., Hart, K., Kazyak, D., Berlin, A., Prohaska, B., Calleson, T., and Yanchis, K., 2021, Impacts of sediment removal from and placement in coastal barrier island systems: U.S. Geological Survey Open-File Report 2021–1062, 94 p., https://doi.org/10.3133/ofr20211062.","productDescription":"viii, 94 p.","numberOfPages":"106","onlineOnly":"Y","ipdsId":"IP-125418","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":485919,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_111412.htm","linkFileType":{"id":5,"text":"html"}},{"id":386003,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2021/1062/coverthb.jpg"},{"id":386004,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2021/1062/ofr20211062.pdf","text":"Report","size":"9.23 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2021–1062"},{"id":386005,"rank":3,"type":{"id":34,"text":"Image Folder"},"url":"https://pubs.usgs.gov/of/2021/1062/images"}],"contact":"

Program Coordinator, Coastal and Marine Hazards and Resources Program
U.S. Geological Survey
12201 Sunrise Valley Drive
Reston, VA 20192

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2021-06-02","noUsgsAuthors":false,"publicationDate":"2021-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Miselis, Jennifer L. 0000-0002-4925-3979 jmiselis@usgs.gov","orcid":"https://orcid.org/0000-0002-4925-3979","contributorId":3914,"corporation":false,"usgs":true,"family":"Miselis","given":"Jennifer","email":"jmiselis@usgs.gov","middleInitial":"L.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816593,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flocks, James G. 0000-0002-6177-7433 jflocks@usgs.gov","orcid":"https://orcid.org/0000-0002-6177-7433","contributorId":816,"corporation":false,"usgs":true,"family":"Flocks","given":"James","email":"jflocks@usgs.gov","middleInitial":"G.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science 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drsmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6074-9257","contributorId":168442,"corporation":false,"usgs":true,"family":"Smith","given":"David","email":"drsmith@usgs.gov","middleInitial":"R.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":816597,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bourque, Jill R. 0000-0003-3809-2601","orcid":"https://orcid.org/0000-0003-3809-2601","contributorId":215719,"corporation":false,"usgs":true,"family":"Bourque","given":"Jill","middleInitial":"R.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":816598,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sherwood, Christopher R. 0000-0001-6135-3553 csherwood@usgs.gov","orcid":"https://orcid.org/0000-0001-6135-3553","contributorId":2866,"corporation":false,"usgs":true,"family":"Sherwood","given":"Christopher","email":"csherwood@usgs.gov","middleInitial":"R.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816599,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smith, Christopher G. 0000-0002-8075-4763 cgsmith@usgs.gov","orcid":"https://orcid.org/0000-0002-8075-4763","contributorId":3410,"corporation":false,"usgs":true,"family":"Smith","given":"Christopher","email":"cgsmith@usgs.gov","middleInitial":"G.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true},{"id":186,"text":"Coastal and Marine Geology 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0000-0002-5275-3077","orcid":"https://orcid.org/0000-0002-5275-3077","contributorId":216023,"corporation":false,"usgs":true,"family":"Berlin","given":"Alicia","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":816605,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Prohaska, Bianca","contributorId":258842,"corporation":false,"usgs":false,"family":"Prohaska","given":"Bianca","email":"","affiliations":[],"preferred":false,"id":816606,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Calleson, Teresa","contributorId":258843,"corporation":false,"usgs":false,"family":"Calleson","given":"Teresa","email":"","affiliations":[],"preferred":false,"id":816607,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Yanchis, Kristi","contributorId":258844,"corporation":false,"usgs":false,"family":"Yanchis","given":"Kristi","email":"","affiliations":[],"preferred":false,"id":816608,"contributorType":{"id":1,"text":"Authors"},"rank":16}]}} ,{"id":70221076,"text":"sir20215024 - 2021 - Use of dissolved oxygen monitoring to evaluate phosphorus loading in Connecticut streams, 2015–18","interactions":[],"lastModifiedDate":"2021-06-02T17:25:11.979978","indexId":"sir20215024","displayToPublicDate":"2021-06-02T08:11:17","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5024","displayTitle":"Use of Dissolved Oxygen Monitoring to Evaluate Phosphorus Loading in Connecticut Streams, 2015–18","title":"Use of dissolved oxygen monitoring to evaluate phosphorus loading in Connecticut streams, 2015–18","docAbstract":"

The Connecticut Department of Energy and Environmental Protection (CT DEEP) has developed an interim phosphorus reduction strategy to establish water-quality-based phosphorus limits in nontidal freshwaters for industrial and municipal water pollution control facilities. A recommendation in the strategy included the addition of diurnal dissolved oxygen (DO) sampling to the sampling of diatom communities collected by CT DEEP. The chemistry data coupled with biological data will help to examine the effects of phosphorus loading in streams. The U.S. Geological Survey (USGS), in cooperation with the CT DEEP and New England Interstate Water Pollution Control Commission, implemented a summer DO monitoring program from 2015 to 2018 to examine the effects of phosphorus loading in streams. Continuous DO data were collected at 18 sites in streams with varying concentrations of phosphorus throughout the State of Connecticut. Discrete water-quality nutrient data were collected by the USGS at 11 of the 18 sites. All continuous and discrete data collected from June to September for the 4 years were examined for all sites. This report documents a pattern of diurnal DO for monitoring sites across 4 years and presents estimated daily gross primary productivity (GPP), ecosystem respiration (ER), and a standardized rate coefficient for gas exchange for selected streams. Relations of phosphorus concentrations to the diurnal DO response and stream metabolism are described. Interannual variability in average annual total phosphorus (TP) concentrations and maximum daily DO concentrations were evaluated among sites in years of the study. Streams identified as impaired by CT DEEP such as Naugatuck River at Beacon Falls (USGS station 01208500), Still River at Route 7 at Brookfield Center (USGS station 01201487), and Quinnipiac River at Wallingford (USGS station 01196500) had higher TP concentrations (greater than 0.10 milligram per liter [mg/L]) throughout the study. Reference streams considered unimpaired had lower concentrations of TP (less than 0.10 mg/L). The range in daily DO concentrations remained less than 4 mg/L for most of the sites during the study except for Naugatuck River at Beacon Falls and Still River at Route 7 at Brookfield Center. Daily GPP and ER were summarized for 11 sites using the maximum likelihood estimation model of the streamMetabolizer package in the R statistical program. The models indicated that most sites had an estimated negative net primary productivity, based on the daily estimates of GPP and ER, which indicates the systems are heterotrophic and dominated by respiration. The high variation of GPP and ER reported for several sites can be affected by many physical, chemical, and biological factors, including the abundance and community composition of phytoplankton, periphyton, and macrophyte algae present. The variability in mean GPP was similar to the variability in maximum DO concentrations when plotted against annual average TP concentrations for the maximum likelihood estimation model in streamMetabolizer. The concept that phosphorus loading can affect the stream metabolism requires more detailed knowledge of stream geomorphic variables (canopy cover, stream velocity, water depth) and algal communities to help improve the scientific basis for managing phosphorus loading.

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

Contact Pubs Warehouse

","tableOfContents":"","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2021-06-02","noUsgsAuthors":false,"publicationDate":"2021-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Izbicki, Brittney 0000-0002-9161-0415 bizbicki@usgs.gov","orcid":"https://orcid.org/0000-0002-9161-0415","contributorId":207391,"corporation":false,"usgs":true,"family":"Izbicki","given":"Brittney","email":"bizbicki@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":816705,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Morrison, Jonathan 0000-0002-1756-4609 jmorriso@usgs.gov","orcid":"https://orcid.org/0000-0002-1756-4609","contributorId":2274,"corporation":false,"usgs":true,"family":"Morrison","given":"Jonathan","email":"jmorriso@usgs.gov","affiliations":[{"id":196,"text":"Connecticut Water Science Center","active":true,"usgs":true}],"preferred":true,"id":816706,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70221164,"text":"70221164 - 2021 - Short‐period surface‐wave tomography in the continental United States— A resource for research","interactions":[],"lastModifiedDate":"2021-11-01T15:22:56.646029","indexId":"70221164","displayToPublicDate":"2021-06-02T07:32:13","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"Short‐period surface‐wave tomography in the continental United States— A resource for research","docAbstract":"

The variation of phase and group velocity dispersion of Love and Rayleigh waves was determined for the continental United States and adjacent Canada. By processing ambient noise from the broadband channels of the Transportable Array (TA) of USArray and several Program for the Array Seismic Studies of the Continental Lithosphere experiments and using some earthquake recordings, the effort was focused on determining dispersion down to periods as short as 2 s. The relatively short distances between TA stations permitted the use of a 25&#x2009;&#x2009;km&#xD7;25&#x2009;&#x2009;km\">25  km×25  km grid for the four independent tomographic inversions (Love and Rayleigh and phase and group velocity). One reason for trying to obtain short‐period dispersion was to have a data set capable of constraining upper crust velocity models for use in determining regional moment tensors. The benefit of focusing on short‐period dispersion is apparent in the tomography maps—shallow geologic structures such as the Mid‐Continent Rift, and the Michigan, Illinois, Anadarko, Arkoma, and Appalachian basins are imaged. In our processing, we noted that the phase velocities were more robustly determined than the group velocities. We also noted that the inability to obtain dispersion at short periods shows distinct regional patterns that may be related to the local upper crust structure.

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B.","contributorId":213436,"corporation":false,"usgs":false,"family":"Herrmann","given":"R.","email":"","middleInitial":"B.","affiliations":[{"id":37518,"text":"St. Louis University","active":true,"usgs":false}],"preferred":false,"id":816917,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ammon, C. J.","contributorId":259271,"corporation":false,"usgs":false,"family":"Ammon","given":"C. J.","affiliations":[{"id":52339,"text":"Department of Geosciences, Penn State, 440 Deike Building, University Park, PA 16802","active":true,"usgs":false}],"preferred":false,"id":816918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Benz, Harley M. 0000-0002-6860-2134 benz@usgs.gov","orcid":"https://orcid.org/0000-0002-6860-2134","contributorId":794,"corporation":false,"usgs":true,"family":"Benz","given":"Harley","email":"benz@usgs.gov","middleInitial":"M.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":816919,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aziz-Zanjani, A.","contributorId":259272,"corporation":false,"usgs":false,"family":"Aziz-Zanjani","given":"A.","email":"","affiliations":[{"id":52342,"text":"Department of Earth and Atmospheric Sciences, Saint Louis University, 3642 Lindell Boulevard, St. Louis, MO 63108 USA","active":true,"usgs":false}],"preferred":false,"id":816920,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Boschelli, J.","contributorId":259273,"corporation":false,"usgs":false,"family":"Boschelli","given":"J.","affiliations":[{"id":52342,"text":"Department of Earth and Atmospheric Sciences, Saint Louis University, 3642 Lindell Boulevard, St. Louis, MO 63108 USA","active":true,"usgs":false}],"preferred":false,"id":816921,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70224608,"text":"70224608 - 2021 - The liquefaction record of past earthquakes in the Central Virginia Seismic Zone, Eastern United States","interactions":[],"lastModifiedDate":"2021-09-30T11:36:07.957997","indexId":"70224608","displayToPublicDate":"2021-06-02T06:33:43","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3372,"text":"Seismological Research Letters","onlineIssn":"1938-2057","printIssn":"0895-0695","active":true,"publicationSubtype":{"id":10}},"title":"The liquefaction record of past earthquakes in the Central Virginia Seismic Zone, Eastern United States","docAbstract":"

Following the 2011 moment magnitude, M\">MM 5.7 Mineral, Virginia, earthquake, we conducted a search for paleoliquefaction features and found 41 sand dikes, sand sills, and soft‐sediment deformation features at 24 sites exposed in cutbanks along several rivers: (1) the South Anna River, where paleoliquefaction features were found in the epicentral area of the Mineral earthquake and farther downstream to the southeast; (2) the Mattaponi and Pamunkey Rivers east of the Fall Line, where liquefiable sediments are more common than in the epicentral area; and (3) the James River and Rivanna River–Stigger Creek, where a few sand dikes were found in the 1990s. Liquefaction features are grouped into two age categories based on dating of host sediment in which they occur and weathering characteristics of the features. A younger generation of features that formed during the past 350 yr are small, few in number, and appear to be limited to the James and Pamunkey Rivers. Though there are large uncertainties in their locations and magnitudes, one or more preinstrumental earthquakes, including the 1758, 1774, and 1875 events, likely caused these features. An older generation of liquefaction features that formed between 350 and 2800 yr ago are larger, more numerous, and more broadly distributed than the younger generation of features. Several earthquakes could account for the regional distribution of paleoliquefaction features, including one event of M\">MM 6.25–6.5 near Holly Grove, or two events of M\">MM 6.0 near Mineral and M\">MM 6.25 near Ashland. Amplification of ground motions in Coastal Plain sediment might have contributed to liquefaction along the Mattaponi and Pamunkey Rivers.

","language":"English","publisher":"Seismological Society of America","doi":"10.1785/0220200456","usgsCitation":"Tuttle, M.P., Dyer-Williams, K., Carter, M.W., Forman, S.L., Tucker, K., Fuentes, Z., Velez, C., and Bauer, L., 2021, The liquefaction record of past earthquakes in the Central Virginia Seismic Zone, Eastern United States: Seismological Research Letters, v. 92, no. 5, p. 3126-3144, https://doi.org/10.1785/0220200456.","productDescription":"19 p.","startPage":"3126","endPage":"3144","ipdsId":"IP-123694","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":390021,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"92","issue":"5","noUsgsAuthors":false,"publicationDate":"2021-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Tuttle, Martitia P.","contributorId":139388,"corporation":false,"usgs":false,"family":"Tuttle","given":"Martitia","email":"","middleInitial":"P.","affiliations":[{"id":12760,"text":"Tuttle and Associates","active":true,"usgs":false}],"preferred":false,"id":824251,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dyer-Williams, Kathleen","contributorId":266054,"corporation":false,"usgs":false,"family":"Dyer-Williams","given":"Kathleen","email":"","affiliations":[{"id":54871,"text":"VanLeen and Associates","active":true,"usgs":false}],"preferred":false,"id":824252,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Carter, Mark W. 0000-0003-0460-7638 mcarter@usgs.gov","orcid":"https://orcid.org/0000-0003-0460-7638","contributorId":4808,"corporation":false,"usgs":true,"family":"Carter","given":"Mark","email":"mcarter@usgs.gov","middleInitial":"W.","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":824253,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Forman, Steven L. 0000-0002-1385-9194","orcid":"https://orcid.org/0000-0002-1385-9194","contributorId":197758,"corporation":false,"usgs":false,"family":"Forman","given":"Steven","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":824254,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Tucker, Kathleen","contributorId":194863,"corporation":false,"usgs":false,"family":"Tucker","given":"Kathleen","email":"","affiliations":[],"preferred":false,"id":824255,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Fuentes, Zamara","contributorId":195074,"corporation":false,"usgs":false,"family":"Fuentes","given":"Zamara","email":"","affiliations":[],"preferred":false,"id":824256,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Velez, Carlos","contributorId":266055,"corporation":false,"usgs":false,"family":"Velez","given":"Carlos","email":"","affiliations":[{"id":13136,"text":"M. Tuttle & Associates","active":true,"usgs":false}],"preferred":false,"id":824257,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Bauer, Laurel","contributorId":266056,"corporation":false,"usgs":false,"family":"Bauer","given":"Laurel","email":"","affiliations":[{"id":54872,"text":"Office of Nuclear Reactor Regulation, U.S. Nuclear Regulatory Commission","active":true,"usgs":false}],"preferred":false,"id":824258,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70221082,"text":"sir20215037 - 2021 - Sediment concentrations and loads upstream from and through John Redmond Reservoir, east-central Kansas, 2010–19","interactions":[],"lastModifiedDate":"2021-06-02T13:05:23.095316","indexId":"sir20215037","displayToPublicDate":"2021-06-02T06:12:32","publicationYear":"2021","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2021-5037","displayTitle":"Sediment Concentrations and Loads Upstream from and through John Redmond Reservoir, East-Central Kansas, 2010–19","title":"Sediment concentrations and loads upstream from and through John Redmond Reservoir, east-central Kansas, 2010–19","docAbstract":"

Streambank erosion and reservoir sedimentation are primary concerns of resource managers in Kansas and throughout many regions of the United States and negatively affect flood control, water supply, and recreation. The Cottonwood and upper Neosho Rivers drain into John Redmond Reservoir, and since reservoir completion in 1964, there has been substantial conservation-pool sedimentation and storage loss in John Redmond Reservoir, causing storage capacity losses more rapidly than most other Federal reservoirs in Kansas. The U.S. Geological Survey (USGS), in cooperation with the Kansas Water Office, has monitored water quality (temperature, specific conductance, and turbidity) on the Cottonwood River (upstream from the reservoir) and Neosho River (upstream and downstream from the reservoir) since 2007 with additional sites added in 2009. The purpose of this report is to quantify suspended-sediment concentrations, loads, and yields entering and exiting John Redmond Reservoir during January 1, 2010, through December 31, 2019.

Three water-quality monitoring sites were upstream from the reservoir (Cottonwood River near Plymouth, Kansas [USGS site 07182250; hereinafter referred to as “Cottonwood”]; Neosho River at Burlingame Road near Emporia, Kans. [USGS site 07179750; hereinafter referred to as “Burlingame”]; and Neosho River at Neosho Rapids, Kans. [USGS site 07182390; hereinafter referred to as “Neosho Rapids”]), and one water-quality monitoring site was downstream from the reservoir (Neosho River at Burlington, Kans. [USGS site 07182510; hereinafter referred to as “Burlington”]). The Neosho Rapids streamgage is downstream from the confluence of the Cottonwood and upper Neosho Rivers and has a contributing drainage area accounting for 91 percent of the total contributing drainage area to John Redmond Reservoir.

Continuously measured streamflow, water quality, and discrete water-quality data were used to develop updated regression models to compute suspended-sediment concentrations, loads, and yields upstream and downstream from John Redmond Reservoir in east-central Kansas. Several turbidity sensors were deployed during the analysis period, and there are no established relations between the sensors; therefore, individual models for each sensor were developed. Model statistics for the turbidity and suspended-sediment concentration linear regression models were better (based on the coefficient of determination, root mean square error, and model standard percentage error) than the streamflow and suspended-sediment concentration linear regression models, indicating better model performance. Computed concentrations, loads, and yields do not account for the ungaged 9 percent of the drainage basin downstream from the Neosho Rapids streamgage.

Mean daily suspended-sediment loads upstream from the reservoir were largest at Neosho Rapids (2,250 tons), second largest at Cottonwood (2,180 tons), and smallest at Burlingame (624 tons). Streamflow at Burlington was predominately regulated by reservoir releases, and mean daily suspended-sediment loads were smaller (286 tons) than at upstream sites. Among the upstream sites, Cottonwood had the largest mean daily suspended-sediment concentration (179 milligrams per liter [mg/L]), followed by Neosho Rapids (162 mg/L), and Burlingame (108 mg/L). Burlington had the smallest mean daily suspended-sediment concentration of all sites (46 mg/L).

Annual reservoir trapping efficiency ranged from 82 to 94 percent, and the largest sediment mass trapped was during 2019 (2,230,000 tons). Reservoir storage decreased an estimated 7,750 acre-feet during 2010 and 2014–19. Using the mean trapping efficiency to estimate suspended-sediment loads during years with missing data (2011–13), the total estimated reservoir storage lost to sedimentation for the analysis period (2010–19) was 8,690 acre-feet, about 17 percent of the remaining storage space reported in 2007. The mean annual sedimentation rate during the analysis period (747 acre-feet per year) was about 85 percent larger than the design sedimentation rate (404 acre-feet per year) originally projected during construction. Different reservoir outflow management strategies, including operating near normal capacity as opposed to higher flood pool levels, could reduce the total reservoir storage lost by 3 percent (about 261 acre-feet), which is equal to 14 percent of the total sediment removed during the dredging operation in 2016.

During the study period, about 56 percent of the total suspended-sediment load was transported during streamflows greater than the National Weather Service flood action stage at the upstream sites (0.1–5 percent of the record; Cottonwood mean: 48 percent; Burlingame mean: 40 percent; Neosho Rapids mean: 78 percent). Disproportionately large sediment loads were delivered during short periods of time, and localized efforts of stream erosion protection (streambank stabilization, riparian buffers) were likely to be overwhelmed. Precipitation frequency and intensity are projected to continue to increase in this region; therefore, future sediment reduction strategies that account for extreme episodic events may be beneficial. Changes to reservoir outflow management could also minimize sediment accumulation while still preserving flood control. Continued investigation of sediment reduction measures is necessary for future mitigation with the understanding that sedimentation rate is largely driven by high flows. Results from this study can be used to calibrate sediment models, explore sediment reduction strategies, highlight the importance of continued water-quality monitoring to determine effectiveness and changes in sediment transport, and assess the ability of John Redmond Reservoir to support designated uses into the future.

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Redmond Reservoir","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.52838134765624,\n 38.01131226070673\n ],\n [\n -95.49041748046875,\n 38.01131226070673\n ],\n [\n -95.49041748046875,\n 39.27266344858914\n ],\n [\n -97.52838134765624,\n 39.27266344858914\n ],\n [\n -97.52838134765624,\n 38.01131226070673\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Kansas Water Science Center
U.S. Geological Survey
1217 Biltmore Drive
Lawrence, KS 66049

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2021-06-02","noUsgsAuthors":false,"publicationDate":"2021-06-02","publicationStatus":"PW","contributors":{"authors":[{"text":"Kramer, Ariele R. 0000-0002-7075-3310 akramer@usgs.gov","orcid":"https://orcid.org/0000-0002-7075-3310","contributorId":185245,"corporation":false,"usgs":true,"family":"Kramer","given":"Ariele","email":"akramer@usgs.gov","middleInitial":"R.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":816715,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peterman-Phipps, Cara L. 0000-0003-1822-2552","orcid":"https://orcid.org/0000-0003-1822-2552","contributorId":259166,"corporation":false,"usgs":true,"family":"Peterman-Phipps","given":"Cara","email":"","middleInitial":"L.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":816716,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mahoney, Matthew D. 0000-0002-9008-7132","orcid":"https://orcid.org/0000-0002-9008-7132","contributorId":206054,"corporation":false,"usgs":true,"family":"Mahoney","given":"Matthew","email":"","middleInitial":"D.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":816717,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lukasz, Bradley S. 0000-0001-5438-5901","orcid":"https://orcid.org/0000-0001-5438-5901","contributorId":225021,"corporation":false,"usgs":true,"family":"Lukasz","given":"Bradley","email":"","middleInitial":"S.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":816718,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70229123,"text":"70229123 - 2021 - Accelerating ecological sciences from above: Spatial contrastive learning for remote sensing","interactions":[],"lastModifiedDate":"2022-03-02T00:57:00.423902","indexId":"70229123","displayToPublicDate":"2021-06-01T18:50:22","publicationYear":"2021","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10143,"text":"Proceedings of the AAAI Conference on Artificial Intelligence","active":true,"publicationSubtype":{"id":10}},"title":"Accelerating ecological sciences from above: Spatial contrastive learning for remote sensing","docAbstract":"

The rise of neural networks has opened the door for automatic analysis of remote sensing data. A challenge to using this machinery for computational sustainability is the necessity of massive labeled data sets, which can be cost-prohibitive for many non-profit organizations. The primary motivation for this work is one such problem; the efficient management of invasive species -- invading flora and fauna that are estimated to cause damages in the billions of dollars annually. As an ongoing collaboration with the New York Natural Heritage Program, we consider the use of unsupervised deep learning techniques for dimensionality reduction of remote sensing images, which can reduce sample complexity for downstream tasks and decreases the need for large labeled data sets. We consider spatially augmenting contrastive learning by training neural networks to correctly classify two nearby patches of a landscape as such. We demonstrate that this approach improves upon previous methods and naive classification for a large-scale data set of remote sensing images derived from invasive species observations obtained over 30 years. Additionally, we simulate deployment in the field via active learning and evaluate this method on another important challenge in computational sustainability -- landcover classification -- and again find that it outperforms previous baselines.

","language":"English","publisher":"Association for the Advancement of Artificial Intelligence","usgsCitation":"Bjorck, J., Shi, Q., Rapazzo, B.H., Dean, J., Fuller, A.K., Brown-Lima, C., and Gomes, C., 2021, Accelerating ecological sciences from above: Spatial contrastive learning for remote sensing: Proceedings of the AAAI Conference on Artificial Intelligence, v. 35, no. 17, 10 p.","productDescription":"10 p.","ipdsId":"IP-122790","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":396619,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"35","issue":"17","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Bjorck, Johan","contributorId":287231,"corporation":false,"usgs":false,"family":"Bjorck","given":"Johan","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":836576,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Shi, Qinru","contributorId":287233,"corporation":false,"usgs":false,"family":"Shi","given":"Qinru","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":836577,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rapazzo, Brendan H.","contributorId":287234,"corporation":false,"usgs":false,"family":"Rapazzo","given":"Brendan","email":"","middleInitial":"H.","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":836578,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dean, Jennifer","contributorId":287236,"corporation":false,"usgs":false,"family":"Dean","given":"Jennifer","affiliations":[{"id":61506,"text":"New York Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":836579,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Fuller, Angela K. 0000-0002-9247-7468 afuller@usgs.gov","orcid":"https://orcid.org/0000-0002-9247-7468","contributorId":3984,"corporation":false,"usgs":true,"family":"Fuller","given":"Angela","email":"afuller@usgs.gov","middleInitial":"K.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":836575,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brown-Lima, Carrie","contributorId":287237,"corporation":false,"usgs":false,"family":"Brown-Lima","given":"Carrie","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":836580,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Gomes, Carla","contributorId":287239,"corporation":false,"usgs":false,"family":"Gomes","given":"Carla","affiliations":[{"id":12722,"text":"Cornell University","active":true,"usgs":false}],"preferred":false,"id":836581,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ]}