{"pageNumber":"60","pageRowStart":"1475","pageSize":"25","recordCount":10956,"records":[{"id":70214029,"text":"70214029 - 2020 - Forest bird trends within Haleakala National Park","interactions":[],"lastModifiedDate":"2020-09-21T16:18:45.323939","indexId":"70214029","displayToPublicDate":"2020-09-16T11:09:21","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":4,"text":"Other Government Series"},"seriesTitle":{"id":5948,"text":"Hawaii Cooperative Studies Unit Technical Report Series","active":true,"publicationSubtype":{"id":4}},"seriesNumber":"97","displayTitle":"Forest bird population trends within Haleakalā National Park","title":"Forest bird trends within Haleakala National Park","docAbstract":"In 2017, the comprehensive east Maui bird surveys allowed for an update in status and evaluation of trends in bird populations within Haleakalā National Park. This report describes a finer-scale analysis of the park lands, distinguishing between the upper Kīpahulu Valley plus adjacent high-elevation areas compared to the rest of the park. I report abundance estimates and assess trends for six native and three non-native bird species within the park. Overall abundance estimates are consistent with those in previous reports, but there is some evidence for different densities between the two areas of the park, and relative densities of some species may vary from survey to survey. With two possible exceptions (native ‘apapane and non-native red-billed leiothrix), recent trends indicate that bird populations are in decline.","language":"English","publisher":"Hawai‘i Cooperative Studies Unit, University of Hawai‘i","usgsCitation":"Brinck, K.W., 2020, Forest bird trends within Haleakala National Park: Hawaii Cooperative Studies Unit Technical Report Series 97, iv, 29 p.","productDescription":"iv, 29 p.","ipdsId":"IP-121666","costCenters":[{"id":521,"text":"Pacific Island Ecosystems Research Center","active":false,"usgs":true}],"links":[{"id":378621,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":378601,"type":{"id":15,"text":"Index Page"},"url":"https://hdl.handle.net/10790/5382"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Haleakalā National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -156.19606018066406,\n              20.657201194347387\n            ],\n            [\n              -156.04225158691406,\n              20.657201194347387\n            ],\n            [\n              -156.04225158691406,\n              20.751619244956586\n            ],\n            [\n              -156.19606018066406,\n              20.751619244956586\n            ],\n            [\n              -156.19606018066406,\n              20.657201194347387\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":true,"publicationStatus":"PW","contributors":{"authors":[{"text":"Brinck, Kevin W. 0000-0001-7581-2482 kbrinck@usgs.gov","orcid":"https://orcid.org/0000-0001-7581-2482","contributorId":150936,"corporation":false,"usgs":false,"family":"Brinck","given":"Kevin","email":"kbrinck@usgs.gov","middleInitial":"W.","affiliations":[{"id":13351,"text":"University of Hawaii Cooperative Studies Unit","active":true,"usgs":false}],"preferred":false,"id":799276,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70213246,"text":"ofr20201107 - 2020 - Distribution and abundance of Aquila chrysaetos (golden eagles) in East Contra Costa County Habitat Conservation Plan/Natural Community Conservation Plan area, California","interactions":[],"lastModifiedDate":"2020-09-17T14:06:01.343734","indexId":"ofr20201107","displayToPublicDate":"2020-09-16T06:43:43","publicationYear":"2020","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":"2020-1107","displayTitle":"Distribution and Abundance of <em>Aquila chrysaetos</em> (Golden Eagles) in the East Contra Costa County Habitat Conservation Plan/Natural Community Conservation Plan Area, California","title":"Distribution and abundance of Aquila chrysaetos (golden eagles) in East Contra Costa County Habitat Conservation Plan/Natural Community Conservation Plan area, California","docAbstract":"<p>The East Contra Costa County Habitat Conservation Plan/Natural Community Conservation Plan (HCP/NCCP) Preserve System was designed to protect and enhance ecological diversity and function in eastern Contra Costa County, California. <i>Aquila chrysaetos</i> (golden eagle) is a special-status species expected to benefit from biological goals of the HCP/NCCP. As part of a broader study, we estimated site-occupancy, abundance, and reproduction of golden eagles in the HCP/NCCP inventory area in 2019. We completed 99 surveys and recorded a total of 50 detections of territorial pairs of eagles at 20 (67 percent) of 30 sites (13.9-square-kilometer [km<sup>2</sup>] plots). Detection probability of territorial pairs was highest in January and February (≥0.75) and lowest in mid-June to late July (&lt;0.50). After correcting for imperfect detection, the expected probability of site-occupancy was 0.69 (standard error [SE] = 0.09), and mean expected abundance was 0.76 pairs per site (SE = 0.16), or 27.4 pairs per 500 km<sup>2</sup>. We found evidence of successful nesting (≥1 young fledged) for 3 (14 percent) of 22 pairs of eagles monitored in 2019. Our study design and baseline results should be useful for future monitoring and conservation of golden eagles in the HCP/NCCP area.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201107","collaboration":"Prepared in cooperation with East Contra Costa County Habitat Conservancy Science and Research Grant Program, East Bay Regional Parks District, Save Mount Diablo’s Mary Bowerman Science and Research Grant Program, and NextEra Energy","usgsCitation":"Wiens, J.D., Kolar, P.S., and Bell, D.A., 2020, Distribution and abundance of <em>Aquila chrysaetos</em> (golden eagles) in East Contra Costa County Habitat Conservation Plan/Natural Community Conservation Plan area, California: U.S. Geological Survey Open-File Report 2020-1107, 11 p., https://doi.org/10.3133/ofr20201107.","productDescription":"iv, 11 p.","onlineOnly":"Y","ipdsId":"IP-119617","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":378434,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1107/coverthb.jpg"},{"id":378435,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1107/ofr20201107.pdf","text":"Report","size":"3.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1107"}],"country":"United States","state":"California","county":"Contra Costa County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -121.75048828124999,\n              37.37015718405753\n            ],\n            [\n              -120.83312988281249,\n              37.37015718405753\n            ],\n            [\n              -120.83312988281249,\n              38.08701320402273\n            ],\n            [\n              -121.75048828124999,\n              38.08701320402273\n            ],\n            [\n              -121.75048828124999,\n              37.37015718405753\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/fresc/\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/fresc/\">Forest and Rangeland Ecosystem Science Center</a><br>U.S. Geological Survey<br>777 NW 9th St., Suite 400<br>Corvallis, Oregon 97330</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Study Area</li><li>Methods</li><li>Results</li><li>Discussion</li><li>Acknowledgments</li><li>References Cited</li><li>Appendix 1. Ranking of Candidate Occupancy and Abundance Models</li></ul>","publishedDate":"2020-09-16","noUsgsAuthors":false,"publicationDate":"2020-09-16","publicationStatus":"PW","contributors":{"authors":[{"text":"Wiens, J. David 0000-0002-2020-038X jwiens@usgs.gov","orcid":"https://orcid.org/0000-0002-2020-038X","contributorId":468,"corporation":false,"usgs":true,"family":"Wiens","given":"J.","email":"jwiens@usgs.gov","middleInitial":"David","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":false,"id":798848,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kolar, Patrick S. 0000-0002-0076-7565","orcid":"https://orcid.org/0000-0002-0076-7565","contributorId":202212,"corporation":false,"usgs":false,"family":"Kolar","given":"Patrick S.","affiliations":[],"preferred":false,"id":798849,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bell, Douglas A.","contributorId":44427,"corporation":false,"usgs":true,"family":"Bell","given":"Douglas A.","affiliations":[],"preferred":false,"id":798850,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70213040,"text":"sir20205071 - 2020 - Assessment of water quality and fecal contamination sources at Hook Pond, East Hampton, New York","interactions":[],"lastModifiedDate":"2020-09-09T12:54:13.946534","indexId":"sir20205071","displayToPublicDate":"2020-09-09T07:05:00","publicationYear":"2020","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":"2020-5071","displayTitle":"Assessment of Water Quality and Fecal Contamination Sources at Hook Pond, East Hampton, New York","title":"Assessment of water quality and fecal contamination sources at Hook Pond, East Hampton, New York","docAbstract":"<h1>Summary</h1><p>The U.S. Geological Survey, in cooperation with the Village of East Hampton, New York, conducted a 1-year study from August 2017 to August 2018 to provide data necessary to improve understanding of the sources of nutrients and pathogens to Hook Pond watershed to allow for possible mitigation or reduction of loads. Chronic eutrophication and recent concern over harmful cyanobacteria in Hook Pond are the result of past and present land uses and a changing climate that have prompted the Village of East Hampton and local businesses to study and remediate factors contributing to the persistent loading of nutrients, organic contaminants, and pathogens. This assessment of Hook Pond, Hook Pond Dreen, and shallow groundwater provides the most comprehensive set of water-quality data to date. Interpretations presented in this study and the data on which they are based can be used to support management decisions, inform and contribute to modeling, and serve as a baseline for future assessments.</p><p>Results from continuous monitoring of water temperature, specific conductance, and elevation at Hook Pond site 10 (Maidstone Club golf cart bridge), as well as ancillary weather and tidal data from nearby stations, were used to help explain seasonal and storm-related concentration variation of nitrogen, phosphorus, wastewater-indicator compounds, and pathogens. Data collected were also compared to existing historical data. Physicochemical constituents measured on a routine basis throughout the pond and along the tributary showed the spatial variability in water temperature, specific conductance, dissolved oxygen, pH, turbidity, and chlorophyll <i>a</i> and phycocyanin fluorescence. A lakebed survey was compiled based on the year-round sampling throughout the pond for future comparisons. Water-quality data from shallow groundwater at points around Hook Pond and adjacent to Hook Pond Dreen were interpreted and quantified to estimate relative contributions and species of nutrients, wastewater-indicator compounds, and microbial source tracking (MST) markers to base flow. To supplement the continuous water-surface elevation data, a single set of discharge measurements was collected under normal (nonstorm) conditions to better understand the relative contributions and dilution of surface waters by contaminated groundwater.</p><p>The nutrient and physicochemical data from this study can be used in conjunction with current and future models and decision support tools to guide planned and ongoing restoration efforts, such as dredging to reduce sediment accumulation, opening a pathway to the ocean (which would change the salinity and flow dynamics of the pond and adjacent groundwater), and addressing growing concerns over cyanobacterial blooms, while serving as a baseline for measuring changes resulting from sea-level rise, climate change, and changes in nutrient loading. The microbial source tracking and indicator bacteria results can help direct efforts to reduce runoff and direct contributions of fecal contamination from dogs and waterfowl along Hook Pond Dreen. The results can also be used to assess the current state of wastewater infrastructure surrounding and contributing to Hook Pond Dreen, based on detection of human markers throughout the year and with both <i>Bacteroides</i> and coliphage methods.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205071","collaboration":"Prepared in cooperation with the Village of East Hampton","usgsCitation":"Fisher, S.C., McCarthy, B.A., Kephart, C.M., and Griffin, D.W., 2020, Assessment of water quality and fecal contamination sources at Hook Pond, East Hampton, New York: U.S. Geological Survey Scientific Investigations Report 2020–5071, 58 p., https://doi.org/10.3133/sir20205071.","productDescription":"Report: viii, 58 p.; Dataset","numberOfPages":"58","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-103528","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":378179,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5071/coverthb.jpg"},{"id":378180,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5071/sir20205071.pdf","text":"Report","size":"3.74 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5071"},{"id":378181,"rank":3,"type":{"id":28,"text":"Dataset"},"url":"https://doi.org/10.5066/F7P55KJN","linkFileType":{"id":5,"text":"html"},"linkHelpText":"- U.S. Geological Survey National Water Information System database"}],"country":"United States","state":"New York","otherGeospatial":"Hook Pond","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -72.20489501953125,\n              40.94360177170972\n            ],\n            [\n              -72.17124938964844,\n              40.94360177170972\n            ],\n            [\n              -72.17124938964844,\n              40.95656702665609\n            ],\n            [\n              -72.20489501953125,\n              40.95656702665609\n            ],\n            [\n              -72.20489501953125,\n              40.94360177170972\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"mailto:dc_ny@usgs.gov\" data-mce-href=\"mailto:dc_ny@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/ny-water\" data-mce-href=\"https://www.usgs.gov/centers/ny-water\">New York Water Science Center</a><br>U.S. Geological Survey<br>425 Jordan Road<br>Troy, NY 12180–8349</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Executive Summary</li><li>Introduction</li><li>Methods</li><li>Water Quality of Hook Pond</li><li>Sources of Fecal Contamination to Hook Pond</li><li>Synthesis of Results</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Expanded Description of Analytical Methods</li><li>Appendix 2. Surface-Water Clarity Plot and Groundwater Constituents</li></ul>","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"publishedDate":"2020-09-09","noUsgsAuthors":false,"publicationDate":"2020-09-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":798036,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCarthy, Brendan A. 0000-0003-4993-021X","orcid":"https://orcid.org/0000-0003-4993-021X","contributorId":221009,"corporation":false,"usgs":true,"family":"McCarthy","given":"Brendan","email":"","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":798037,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kephart, Christopher M. 0000-0002-3369-5596 ckephart@usgs.gov","orcid":"https://orcid.org/0000-0002-3369-5596","contributorId":1932,"corporation":false,"usgs":true,"family":"Kephart","given":"Christopher","email":"ckephart@usgs.gov","middleInitial":"M.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":798038,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":798039,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70212676,"text":"sir20205038 - 2020 - Groundwater quality in relation to drinking water health standards and hydrogeologic and geochemical characteristics for 47 domestic wells in Potter County, Pennsylvania, 2017","interactions":[],"lastModifiedDate":"2020-09-01T23:33:39.434887","indexId":"sir20205038","displayToPublicDate":"2020-09-01T10:10:00","publicationYear":"2020","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":"2020-5038","displayTitle":"Groundwater Quality in Relation to Drinking Water Health Standards and Hydrogeologic and Geochemical Characteristics for 47 Domestic Wells in Potter County, Pennsylvania, 2017","title":"Groundwater quality in relation to drinking water health standards and hydrogeologic and geochemical characteristics for 47 domestic wells in Potter County, Pennsylvania, 2017","docAbstract":"<p>As part of a regional effort to characterize groundwater in rural areas of Pennsylvania, water samples from 47 domestic wells in Potter County were collected from May through September 2017. The sampled wells had depths ranging from 33 to 600 feet in sandstone, shale, or siltstone aquifers. Groundwater samples were analyzed for physicochemical properties that could be evaluated in relation to drinking-water health standards, geology, land use, and other environmental factors. Laboratory analyses included concentrations of major ions, nutrients, bacteria, trace elements, volatile organic compounds (VOCs), ethylene and propylene glycol, alcohols, gross-alpha/beta-particle activity, uranium, radon-222, and dissolved gases. A subset of samples was analyzed for radium isotopes (radium-226 and -228) and for the isotopic composition of methane.</p><p>Results of this 2017 study show that groundwater quality generally met most drinking-water standards that apply to public water supplies. However, a percentage of samples exceeded maximum contaminant levels (MCLs) for total coliform bacteria (69.6 percent), <i>Escherichia coli</i> (30.4 percent), arsenic, and barium; and secondary maximum contaminant levels (SMCLs) for field pH, manganese, sodium, iron, total dissolved solids, aluminum, and chloride. All of the analyzed VOCs were below limits of detection and associated drinking water criteria. Radon-222 activities exceeded the proposed drinking-water standard of 300 picocuries per liter in 80.9 percent of the samples.</p><p>The field pH of the groundwater ranged from 4.6 to 9.0. Generally, the lower pH samples had greater potential for elevated concentrations of dissolved metals, including beryllium, copper, lead, nickel, and zinc, whereas the higher pH samples had greater potential for elevated concentrations of total dissolved solids, sodium, fluoride, boron, and uranium. Near-neutral samples (pH 6.5 to 7.5) had greater hardness and alkalinity concentrations than other samples with pH values outside this range. Calcium/bicarbonate waters were the predominant hydrochemical type for the sampled aquifers, with mixed water types for many samples, including variable contributions from calcium, magnesium, and sodium combined with bicarbonate, sulfate, chloride, and nitrate.</p><p>Water from 45 wells had concentrations of methane greater than the 0.0002 milligrams per liter (mg/L) detection limit. One sample had the maximum value of 11 mg/L, which exceeds the Pennsylvania action level of 7 mg/L. Additionally, three other samples had concentrations of methane greater than 4 mg/L. Outgassing of such levels of methane from the water to air within a confined space can result in a potential hazard. The elevated concentrations of methane generally were associated with suboxic groundwater (dissolved oxygen less than 0.5 mg/L) that had near-neutral to alkaline pH with relatively elevated concentrations of iron, manganese, ammonia, lithium, fluoride, and boron. Other constituents, including barium, sodium, chloride, and bromide, commonly were elevated, but not limited to, those well-water samples with elevated methane. Low levels of ethane (as much as 1.2 mg/L) were present in eight samples with the highest methane concentrations. Five samples were analyzed for methane isotopes. The isotopic and hydrocarbon compositions in these five samples suggest the methane may be of microbial origin or a mixture of thermogenic and microbial gas, but differed from the compositions reported for mud-gas logging samples collected during drilling of gas wells.</p><p>The concentrations of sodium (median 8.2 mg/L), chloride (median 7.64 mg/L), and bromide (median 0.02 mg/L) for the 47 groundwater samples collected for this study ranged widely and were positively correlated with one another and with specific conductance and associated measures of ionic strength. Sixty percent of the Potter County well-water samples had chloride concentrations less than 10 mg/L. Samples with higher chloride concentrations had variable bromide concentrations and corresponding chloride/bromide ratios that are consistent with sources such as road-deicing salt and septic effluent (low bromide) or brine (high bromide). Brines are naturally present in deeper parts of the regional groundwater system and, in some cases, may be mobilized by gas drilling. It is also possible that valley wells were drilled close to or into the brine-freshwater interface, so brine signatures do not necessarily indicate contamination due to drilling. The chloride, bromide, and other constituents in road-deicing salt or brine solutions tend to be diluted by mixing with fresh groundwater in shallow aquifers used for water supply. Although 1 of 8 groundwater samples with the highest methane concentrations (greater than 0.2 mg/L) had concentrations of chloride and bromide with corresponding chloride/bromide ratios that indicated mixing with road-deicing salt, the other 7 of 8 samples with elevated methane had concentrations of chloride and bromide with corresponding chloride/bromide ratios that indicated mixing with a small amount of brine (0.02 percent or less) similar in composition to those reported for gas and oil well brines in Pennsylvania. In several eastern Pennsylvania counties where gas drilling is absent, groundwater with comparable chloride/bromide ratios and chloride concentrations have been reported. Approximately 50 percent of Potter County well-water samples, including two samples with the fourth (72.9 mg/L) and fifth (47.0 mg/L) highest chloride concentrations, have chloride/bromide ratios that indicate predominantly anthropogenic sources of chloride, such as road-deicing salt or septic effluent.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205038","collaboration":"Prepared in cooperation with the County of Potter","usgsCitation":"Galeone, D.G., Cravotta, C.A., III, and Risser, D.W., 2020, Groundwater quality in relation to drinking water health standards and hydrogeologic and geochemical characteristics for 47 domestic wells in\nPotter County, Pennsylvania, 2017: U.S. Geological Survey Scientific Investigations Report 2020–5038, p.67, https://doi.org/10.3133/sir20205038.","productDescription":"Report: viii, 67 p.; 2 Appendixes, Data Release","numberOfPages":"67","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-111083","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":377852,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5038/coverthb.jpg"},{"id":377854,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5038/sir20205038.pdf","text":"Report","size":"8.77 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5038"},{"id":377855,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5038/sir20205038_appendix3.xlsx","text":"Appendix 3","size":"30.3 KB","linkFileType":{"id":3,"text":"xlsx"},"linkHelpText":"- Excel file"},{"id":377856,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5038/sir20205038_appendix3.csv","text":"Appendix 3","size":"9.00 KB","linkFileType":{"id":7,"text":"csv"},"linkHelpText":"- CSV file"},{"id":377857,"rank":5,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9EBORD5","text":"USGS data release","linkHelpText":"Compilation of wells sampled, physical characteristics of wells, links to water-quality data, and quality assurance and quality control data for domestic wells sampled by the U.S. Geological Survey in Potter County, Pennsylvania, April–September 2017"}],"country":"United States","state":"Pennsylvania","county":"Potter County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-77.7513,41.999],[-77.7031,41.9991],[-77.6884,41.9992],[-77.6096,41.9998],[-77.6077,41.9211],[-77.6076,41.9174],[-77.6076,41.9015],[-77.6063,41.8402],[-77.6057,41.8334],[-77.6056,41.8121],[-77.6056,41.8093],[-77.605,41.8007],[-77.605,41.7944],[-77.6043,41.7558],[-77.6043,41.7499],[-77.6043,41.7472],[-77.603,41.7186],[-77.603,41.6999],[-77.6017,41.6518],[-77.6017,41.6437],[-77.601,41.6128],[-77.601,41.5987],[-77.5997,41.5497],[-77.5991,41.5424],[-77.5991,41.5256],[-77.5991,41.5211],[-77.5984,41.5002],[-77.5978,41.4784],[-77.6155,41.4784],[-77.664,41.4784],[-77.6977,41.4779],[-77.6989,41.4779],[-77.7093,41.4778],[-77.7498,41.4778],[-77.7645,41.4777],[-77.7774,41.4772],[-77.8006,41.4772],[-77.8123,41.4772],[-77.8282,41.4767],[-77.8454,41.4766],[-77.8742,41.4761],[-77.903,41.476],[-77.922,41.4755],[-77.9514,41.4754],[-77.9796,41.4757],[-77.9876,41.4757],[-78.0513,41.4768],[-78.0643,41.4881],[-78.0773,41.5003],[-78.094,41.5157],[-78.0958,41.5175],[-78.0977,41.5193],[-78.1107,41.5315],[-78.1119,41.5328],[-78.1243,41.5437],[-78.1379,41.5568],[-78.1769,41.5933],[-78.1831,41.5992],[-78.1862,41.6019],[-78.1992,41.6136],[-78.2035,41.6177],[-78.2054,41.619],[-78.2048,41.625],[-78.2062,41.6967],[-78.2065,41.7875],[-78.2065,41.7925],[-78.2066,41.8029],[-78.2068,41.8197],[-78.2071,41.8479],[-78.2073,41.866],[-78.2067,41.8697],[-78.2068,41.881],[-78.2075,41.8865],[-78.2078,41.9196],[-78.2078,41.9786],[-78.2085,41.9859],[-78.2086,42],[-77.9943,41.999],[-77.9662,41.9988],[-77.8686,41.9989],[-77.7513,41.999]]]},\"properties\":{\"name\":\"Potter\",\"state\":\"PA\"}}]}","contact":"<p><a href=\"mailto:dc_pa@usgs.gov\" data-mce-href=\"mailto:dc_pa@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/pa-water\" data-mce-href=\"https://www.usgs.gov/centers/pa-water\">Pennsylvania Water Science Center</a><br>U.S. Geological Survey<br>215 Limekiln Road<br>New Cumberland, PA 17070</p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Study Methods</li><li>Groundwater Quality and Comparison to Drinking Water Health Standards</li><li>Relation of Groundwater Quality to Hydrogeologic and Geochemical Characteristics</li><li>Summary and Conclusions</li><li>References Cited</li><li>Appendix 1</li><li>Appendix 2</li><li>Appendix 3</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-09-01","noUsgsAuthors":false,"publicationDate":"2020-09-01","publicationStatus":"PW","contributors":{"authors":[{"text":"Galeone, Daniel G. 0000-0002-8007-9278 dgaleone@usgs.gov","orcid":"https://orcid.org/0000-0002-8007-9278","contributorId":2301,"corporation":false,"usgs":true,"family":"Galeone","given":"Daniel","email":"dgaleone@usgs.gov","middleInitial":"G.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797266,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cravotta, Charles A. III 0000-0003-3116-4684","orcid":"https://orcid.org/0000-0003-3116-4684","contributorId":216591,"corporation":false,"usgs":true,"family":"Cravotta","given":"Charles","suffix":"III","email":"","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797267,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Risser, Dennis W. 0000-0001-9597-5406 dwrisser@usgs.gov","orcid":"https://orcid.org/0000-0001-9597-5406","contributorId":898,"corporation":false,"usgs":true,"family":"Risser","given":"Dennis","email":"dwrisser@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797268,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216815,"text":"70216815 - 2020 - Building adaptive capacity in a coastal region experiencing global change","interactions":[],"lastModifiedDate":"2020-12-08T20:35:54.847323","indexId":"70216815","displayToPublicDate":"2020-08-31T14:35:43","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":7455,"text":"Ecology & Society","active":true,"publicationSubtype":{"id":10}},"title":"Building adaptive capacity in a coastal region experiencing global change","docAbstract":"<p><span>Coastal ecosystems in the eastern U.S. have been severely altered by human development, and climate change and other stressors are now further degrading the capacity of those ecological and social systems to remain resilient in the face of such disturbances. We sought to identify potential ways in which local conservation interests in the Lowcountry of South Carolina (USA) could participate in a social process of adaptation planning, and how that process might ultimately be broadened to engage a more diverse set of partners. We engaged participants through a combination of informal meetings, workshops, and other collaborative interactions to explore how the conservation community perceives and pursues its various missions, and how that community might confront the threats and opportunities in its future. Coproduction of knowledge and meaning were facilitated by collaborative scenario planning and strategic planning evaluation, which illuminated how the conservation community is integral to the broader governance of the region and highlighted how responses to forces of change are mediated through local culture, economics, and politics. We suggest an interpretation of conservation in which the fundamental objectives of both social and ecological systems might be prioritized in tandem, rather than narrowly focusing on environmental protection without consideration of the social landscape. Ultimately, adaptive capacity depends on the ability to act collectively, and social capital, trust, and organization greatly influence the capacity to act. Thus, we conclude that the presence of strong social networks, coordination and deliberation among diverse stakeholders, mechanisms for experiential feedback, and emphasis on social learning are key elements needed to build adaptive capacity. Central to the evolving perspective of governance of the commons is recognition that social and ecological systems are coupled; the issues and problems of one cannot be addressed without considering the consequences for the other. Moreover, a dominant theme emerging from our research and that of other scholars is the importance of culture and place attachment, which generates social cohesion and facilitates problem solving. These ideas have important implications for when, where, and how stakeholders are engaged to address the rapid changes being experienced by social-ecological systems.</span></p>","language":"English","publisher":"The Resilience Alliance","doi":"10.5751/ES-11700-250309","usgsCitation":"Johnson, F.A., Eaton, M.J., Mikels-Carrasco, J., and Case, D.J., 2020, Building adaptive capacity in a coastal region experiencing global change: Ecology & Society, v. 25, no. 3, 9, 22 p., https://doi.org/10.5751/ES-11700-250309.","productDescription":"9, 22 p.","ipdsId":"IP-101245","costCenters":[{"id":40926,"text":"Southeast Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":455472,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-11700-250309","text":"Publisher Index Page"},{"id":381135,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"South Carolina","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -78.585205078125,\n              33.87953701355924\n            ],\n            [\n              -79.07409667968749,\n              34.298068350990825\n            ],\n            [\n              -79.3048095703125,\n              33.988918483762156\n            ],\n            [\n              -79.2169189453125,\n              33.710632271492095\n            ],\n            [\n              -79.40917968749999,\n              33.916013113401696\n            ],\n            [\n              -79.991455078125,\n              33.99802726234877\n            ],\n            [\n              -81.23291015625,\n              32.861132322810946\n            ],\n            [\n              -81.39770507812499,\n              32.63012300670739\n            ],\n            [\n              -81.1724853515625,\n              32.44024912337551\n            ],\n            [\n              -81.1285400390625,\n              32.17096283641326\n            ],\n            [\n              -80.9307861328125,\n              31.956823015897207\n            ],\n            [\n              -80.88134765625,\n              31.942839972853083\n            ],\n            [\n              -80.299072265625,\n              32.36140331527543\n            ],\n            [\n              -79.3212890625,\n              33.063924198120645\n            ],\n            [\n              -79.134521484375,\n              33.17893926058104\n            ],\n            [\n              -79.0081787109375,\n              33.53681606773302\n            ],\n            [\n              -78.585205078125,\n              33.87953701355924\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"25","issue":"3","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Johnson, Fred A. 0000-0002-5854-3695 fjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-5854-3695","contributorId":2773,"corporation":false,"usgs":true,"family":"Johnson","given":"Fred","email":"fjohnson@usgs.gov","middleInitial":"A.","affiliations":[{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":806358,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Eaton, Mitchell J. 0000-0001-7324-6333 meaton@usgs.gov","orcid":"https://orcid.org/0000-0001-7324-6333","contributorId":169429,"corporation":false,"usgs":true,"family":"Eaton","given":"Mitchell","email":"meaton@usgs.gov","middleInitial":"J.","affiliations":[{"id":565,"text":"Southeast Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":806359,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mikels-Carrasco, Jessica","contributorId":245520,"corporation":false,"usgs":false,"family":"Mikels-Carrasco","given":"Jessica","email":"","affiliations":[{"id":49215,"text":"D.J. Case & Assoc.","active":true,"usgs":false}],"preferred":false,"id":806360,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Case, David J.","contributorId":140653,"corporation":false,"usgs":false,"family":"Case","given":"David","email":"","middleInitial":"J.","affiliations":[{"id":13543,"text":"DJ Case & Associates","active":true,"usgs":false}],"preferred":false,"id":806361,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70212719,"text":"ofr20201072 - 2020 - Cottonwoods, water, and people-Integrating analysis of tree rings with observations of elders from the Eastern Shoshone and Northern Arapaho Tribes of the Wind River Reservation, Wyoming","interactions":[],"lastModifiedDate":"2020-09-01T23:30:54.314533","indexId":"ofr20201072","displayToPublicDate":"2020-08-31T12:55:00","publicationYear":"2020","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":"2020-1072","displayTitle":"Cottonwoods, Water, and People—Integrating Analysis of Tree Rings with Observations of Elders from the Eastern Shoshone and Northern Arapaho Tribes of the Wind River Reservation, Wyoming","title":"Cottonwoods, water, and people-Integrating analysis of tree rings with observations of elders from the Eastern Shoshone and Northern Arapaho Tribes of the Wind River Reservation, Wyoming","docAbstract":"<p>We assessed the history of flow and riparian ecosystem change along the Wind River using cottonwood tree-ring data, streamgage records, historical temperature and precipitation data, drought indices, and local observations and Traditional Ecological Knowledge from elders of the Eastern Shoshone and Northern Arapaho Tribes of the Wind River Reservation, Wyoming. This assessment identified impacts that have occurred to riparian resources of concern to the Tribes, which will assist in prioritizing drought planning efforts. Impacts included reduced abundance, reduced regeneration, and increased mortality in cottonwoods (<i>Populus</i> <i>deltoides</i> and <i>P. angustifolia</i>); an increase in invasive species, especially Russian olive (<i>Elaeagnus angustifolia</i>), that are gradually replacing cottonwoods and other native woody plants; decreased abundance of native and culturally important plants; reduced abundance of culturally important fish; reduced volume and changes to the timing of flows; and changes in river course. This assessment documented the biophysical and social factors that have contributed to riparian ecosystem change and to reduced water availability and flows, including agricultural diversion, drought, and fire. Cottonwoods along the Wind River are as much as 300 years old. By relating tree-ring width to recorded streamflows, we were able to reconstruct streamflows confidently back to the 1850s and speculatively back to the mid-1700s. Extending the historical record of streamflows allows for a more-complete understanding of hydroclimatic variability and provides a foundation for developing preparedness and response strategies for drought management. Ring width of cottonwood trees at the Boysen Site was more strongly correlated to river flow than to local precipitation or temperature, indicating that growth of trees is controlled more by montane snowmelt than by local weather. Therefore, tree rings are a better indicator of water supply than of the local conditions controlling water demand. The extended flow record from tree rings revealed the occurrence of a major period of low flow from 1870 to 1910 that was not evident in the shorter instrumental records of flow and weather. Information from tree rings, streamflow measurements, drought indices, and elder observations all suggest that the early 2000s drought was the most severe, sustained drought in the last century. Our results illustrate how drought is experienced in different ways across locations and sectors, which underscores the importance of using multiple indicators for drought management. These results will contribute to ongoing assessment, monitoring, and planning efforts at the Wind River Reservation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201072","collaboration":"Prepared in cooperation with the Eastern Shoshone Tribe of the Wind River Reservation, Wyoming, the Northern Arapaho Tribe of the Wind River Reservation, Wyoming, and Colorado State University","usgsCitation":"McNeeley, S.M., Friedman, J.M., Beeton, T.A., and Thaxton, R.D., 2020, Cottonwoods, water, and people—Integrating analysis of tree rings with observations of elders from the Eastern Shoshone and Northern Arapaho Tribes of the Wind River Reservation, Wyoming: U.S. Geological Survey Open-File Report 2020–1072, 33 p.,  https://doi.org/10.3133/ofr20201072.","productDescription":"Report: iv, 33 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-113563","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":378034,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9S1UIAL","text":"USGS data release","linkHelpText":"Tree-Ring Data Collected in 2017 and 2018 From Cottonwood Trees Along the Wind River in Wind River Indian Reservation, Wyoming"},{"id":377898,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1072/coverthb.jpg"},{"id":377899,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1072/ofr20201072.pdf","text":"Report","size":"13.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1072"}],"country":"United States","state":"Wyoming","otherGeospatial":"Wind River Reservation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -109.44442749023438,\n              42.83569550641452\n            ],\n            [\n              -108.160400390625,\n              42.83569550641452\n            ],\n            [\n              -108.160400390625,\n              43.54456658436357\n            ],\n            [\n              -109.44442749023438,\n              43.54456658436357\n            ],\n            [\n              -109.44442749023438,\n              42.83569550641452\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/fort\" data-mce-href=\"https://www.usgs.gov/centers/fort\">Fort Collins Science Center</a><br>U.S. Geological Survey<br>2150 Centre Avenue, Bldg. C<br>Fort Collins, CO 80526</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Research Methods</li><li>Human Modification of the River and Flow</li><li>Cottonwood Species</li><li>Relation Between Riparian Forest and Tribes</li><li>Cottonwood Ages</li><li>Impacts of Social and Environmental Changes on Riparian Environments</li><li>Mechanism of Observed Impacts on Riparian Forest</li><li>Cottonwood Growth</li><li>Flow Reconstruction from Multiple Sources</li><li>Summary</li><li>References Cited</li><li>Appendix 1. Interview Questions</li><li>Appendix 2. Details of Cottonwood Sampling and Analysis</li></ul>","publishedDate":"2020-08-31","noUsgsAuthors":false,"publicationDate":"2020-08-31","publicationStatus":"PW","contributors":{"authors":[{"text":"McNeeley, Shannon M.","contributorId":208510,"corporation":false,"usgs":false,"family":"McNeeley","given":"Shannon","email":"","middleInitial":"M.","affiliations":[{"id":37812,"text":"Colorado State University; North Central Climate Science Center","active":true,"usgs":false}],"preferred":false,"id":797352,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friedman, Jonathan M. 0000-0002-1329-0663 friedmanj@usgs.gov","orcid":"https://orcid.org/0000-0002-1329-0663","contributorId":2473,"corporation":false,"usgs":true,"family":"Friedman","given":"Jonathan","email":"friedmanj@usgs.gov","middleInitial":"M.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":797353,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beeton, Tyler A.","contributorId":208509,"corporation":false,"usgs":false,"family":"Beeton","given":"Tyler","email":"","middleInitial":"A.","affiliations":[{"id":37812,"text":"Colorado State University; North Central Climate Science Center","active":true,"usgs":false}],"preferred":false,"id":797354,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thaxton, Richard D.","contributorId":238181,"corporation":false,"usgs":false,"family":"Thaxton","given":"Richard","email":"","middleInitial":"D.","affiliations":[{"id":6621,"text":"Colorado State University","active":true,"usgs":false}],"preferred":false,"id":797355,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70240189,"text":"70240189 - 2020 - Mineral deposits of the Mesoproterozoic Midcontinent Rift system in the Lake Superior region – A space and time classification","interactions":[],"lastModifiedDate":"2023-02-01T13:16:41.854536","indexId":"70240189","displayToPublicDate":"2020-08-26T07:13:01","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2954,"text":"Ore Geology Reviews","active":true,"publicationSubtype":{"id":10}},"title":"Mineral deposits of the Mesoproterozoic Midcontinent Rift system in the Lake Superior region – A space and time classification","docAbstract":"<p id=\"sp0015\">The Mesoproterozoic Midcontinent Rift System (MRS) of North America hosts a diverse suite of magmatic and hydrothermal mineral deposits in the Lake Superior region where rift rocks are exposed at or near the surface. Historically, hydrothermal deposits, such as Michigan’s native copper deposits and the White Pine sediment-hosted stratiform copper deposit, were major MRS metal producers. On-going exploration for and potential development of copper-nickel sulfide deposits hosted by the Duluth Complex of Minnesota and the opening of the Eagle nickel mine in Michigan indicate an expanding interest in MRS magmatic deposits. MRS hydrothermal and magmatic mineral deposits, many of which are significant past, present, and likely future providers of critical minerals, here are placed into a space and time metallogenic framework. To construct this framework, regional MRS mineral deposits extracted from the U.S. Geological Survey Mineral Resources Data System (MRDS) and the Ontario Ministry of Energy, Northern Development and Mines Mineral Deposit Inventory (MDI) were supplemented by other known and recently recognized mineral deposits described in the literature. All mineral deposits were classified by deposit type, host rock age and type, and estimated timing of mineralization. Deposits were then put into a tectonic evolutionary framework (stages) for the MRS, which shows that deposits formed within discrete spatial and temporal stages of rift evolution.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.oregeorev.2020.103716","usgsCitation":"Woodruff, L.G., Schulz, K.J., Nicholson, S.W., and Dicken, C.L., 2020, Mineral deposits of the Mesoproterozoic Midcontinent Rift system in the Lake Superior region – A space and time classification: Ore Geology Reviews, v. 126, 103716, 21 p., https://doi.org/10.1016/j.oregeorev.2020.103716.","productDescription":"103716, 21 p.","ipdsId":"IP-113870","costCenters":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":412532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, United States","otherGeospatial":"Lake Superior region","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -98.77134272564261,\n              38.8483191350162\n            ],\n            [\n              -83.3091592101386,\n              38.8483191350162\n            ],\n            [\n              -83.3091592101386,\n              49.57101080820971\n            ],\n            [\n              -98.77134272564261,\n              49.57101080820971\n            ],\n            [\n              -98.77134272564261,\n              38.8483191350162\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","volume":"126","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Woodruff, Laurel G. 0000-0002-2514-9923 woodruff@usgs.gov","orcid":"https://orcid.org/0000-0002-2514-9923","contributorId":2224,"corporation":false,"usgs":true,"family":"Woodruff","given":"Laurel","email":"woodruff@usgs.gov","middleInitial":"G.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":862907,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schulz, Klaus J. 0000-0003-2967-4765 kschulz@usgs.gov","orcid":"https://orcid.org/0000-0003-2967-4765","contributorId":2438,"corporation":false,"usgs":true,"family":"Schulz","given":"Klaus","email":"kschulz@usgs.gov","middleInitial":"J.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":862908,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nicholson, Suzanne W. 0000-0002-9365-1894 swnich@usgs.gov","orcid":"https://orcid.org/0000-0002-9365-1894","contributorId":880,"corporation":false,"usgs":true,"family":"Nicholson","given":"Suzanne","email":"swnich@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":862910,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dicken, Connie L. 0000-0002-1617-8132 cdicken@usgs.gov","orcid":"https://orcid.org/0000-0002-1617-8132","contributorId":57098,"corporation":false,"usgs":true,"family":"Dicken","given":"Connie","email":"cdicken@usgs.gov","middleInitial":"L.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":862909,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216213,"text":"70216213 - 2020 - Spatial ecology and resource selection of eastern box turtles","interactions":[],"lastModifiedDate":"2020-11-10T12:50:03.733272","indexId":"70216213","displayToPublicDate":"2020-08-25T06:48:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Spatial ecology and resource selection of eastern box turtles","docAbstract":"<div class=\"abstract-group\"><div class=\"article-section__content en main\"><p>Eastern box turtles (<i>Terrapene carolina carolina</i>) are widely distributed throughout the eastern United States. Although once common throughout much of its distribution, the species has experienced declines in local populations. Understanding resource selection is important for the conservation of this species; however, few data exist on resource selection for eastern box turtles in the southeastern United States. We estimated home range and resource selection for 100 individual turtles in the Blue Ridge, Ridge and Valley, and Cumberland Plateau and Mountains physiographic regions in Tennessee, USA, from 2016 to 2018. We used step‐selection functions to investigate eastern box turtle resource selection during May–August 2017 and May–August 2018 at 2 spatial scales. We classified vegetation type, measured vegetation composition and structure, recorded time since fire, and measured coarse woody debris abundance at 1,225 used telemetry locations and 1,225 associated available points. Home range sizes averaged 9.3 ha ± 3.0 (SE) using minimum convex polygon analysis, 8.25 ha ± 2.88 using 95% kernel density analysis, and 1.50 ha ± 0.56 using 50% kernel density analysis. Box turtles selected areas with greater visual obstruction at the 0–0.25‐m level, greater amounts of 10‐hour and 100‐hour fuels (timelag categories used in fire‐danger ratings), and greater litter depths compared to available locations. Box turtles were more likely to select areas with greater cover of brambles and coarser woody debris and were less likely to select areas with less vegetation cover. Vegetation type and time since last fire did not affect selection. Our data suggest that management activities that encourage greater understory vegetation cover, greater visual obstruction at the 0–0.25‐m level, and greater bramble cover will enhance habitat quality for eastern box turtles.&nbsp;</p></div></div>","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21945","usgsCitation":"Harris, K.A., Clark, J.D., Elmore, R.D., and Harper, C.A., 2020, Spatial ecology and resource selection of eastern box turtles: Journal of Wildlife Management, v. 84, no. 8, p. 1590-1600, https://doi.org/10.1002/jwmg.21945.","productDescription":"11 p.","startPage":"1590","endPage":"1600","ipdsId":"IP-119561","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":380330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"84","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-08-25","publicationStatus":"PW","contributors":{"authors":[{"text":"Harris, Katie A","contributorId":244731,"corporation":false,"usgs":false,"family":"Harris","given":"Katie","email":"","middleInitial":"A","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":804469,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":804470,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Elmore, R. Dwayne","contributorId":244733,"corporation":false,"usgs":false,"family":"Elmore","given":"R.","email":"","middleInitial":"Dwayne","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":804471,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Harper, Craig A.","contributorId":146944,"corporation":false,"usgs":false,"family":"Harper","given":"Craig","email":"","middleInitial":"A.","affiliations":[{"id":12716,"text":"University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":804472,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70228538,"text":"70228538 - 2020 - Effects of inundation duration on southeastern Louisiana oyster reefs","interactions":[],"lastModifiedDate":"2022-02-14T20:40:27.966736","indexId":"70228538","displayToPublicDate":"2020-08-24T15:39:59","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":10113,"text":"Experimental Results","onlineIssn":"2516-712X","active":true,"publicationSubtype":{"id":10}},"title":"Effects of inundation duration on southeastern Louisiana oyster reefs","docAbstract":"<p>Understanding the effects of predicted rising sea levels, combined with changes in precipitation and freshwater inflow on key estuarine ecosystem engineers such as the eastern oyster would provide critical information to inform restoration design and predictive models. Using oyster ladders with shell bags placed at three heights to capture a range of inundation levels, oyster growth of naturally recruited spat was monitored over the course of 6 months. Oyster numbers and shell heights were consistently highest in bottom and mid bags experiencing greater than 50% inundation (mid: 63 ± 7%; bottom: 95 ± 3%). Identifying thresholds for optimal oyster growth and survival to enhance restoration engineering would require finer scale evaluation of inundation levels.</p>","language":"English","publisher":"Cambridge University Press","doi":"10.1017/exp.2020.35","usgsCitation":"Marshall, D., and La Peyre, M., 2020, Effects of inundation duration on southeastern Louisiana oyster reefs: Experimental Results, v. 1, e30, 8 p., https://doi.org/10.1017/exp.2020.35.","productDescription":"e30, 8 p.","ipdsId":"IP-117860","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":455546,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/exp.2020.35","text":"Publisher Index Page"},{"id":395933,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.2691650390625,\n              29.563901551414418\n            ],\n            [\n              -89.3353271484375,\n              29.563901551414418\n            ],\n            [\n              -89.3353271484375,\n              30.259067203213018\n            ],\n            [\n              -90.2691650390625,\n              30.259067203213018\n            ],\n            [\n              -90.2691650390625,\n              29.563901551414418\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"1","noUsgsAuthors":false,"publicationDate":"2020-08-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Marshall, Danielle A.","contributorId":239867,"corporation":false,"usgs":false,"family":"Marshall","given":"Danielle A.","affiliations":[{"id":48014,"text":"School of Renewable Natural Resources, Louisiana State University Agricultural Center, Baton Rouge, LA","active":true,"usgs":false}],"preferred":false,"id":834532,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"La Peyre, Megan 0000-0001-9936-2252 mlapeyre@usgs.gov","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":79375,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan","email":"mlapeyre@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834533,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70212682,"text":"70212682 - 2020 - Exploring methane behavior in Marcellus Shale micropores via contrast matching neutron scattering","interactions":[],"lastModifiedDate":"2020-09-25T13:21:30.975635","indexId":"70212682","displayToPublicDate":"2020-08-24T07:22:36","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1506,"text":"Energy & Fuels","active":true,"publicationSubtype":{"id":10}},"title":"Exploring methane behavior in Marcellus Shale micropores via contrast matching neutron scattering","docAbstract":"<p><span>Petroleum in shale reservoirs is hosted in organic matter and mineral pores as well as in natural fractures and voids. For thermally mature plays, e.g., the Marcellus Shale, methane and other light alkane gases are thought to be primarily contained in organic matter pores with radii ≦50 nm. Thus, in order to understand natural gas occurrence, transport, storage, and recoverability within unconventional reservoirs at the dry-gas stage of thermal maturity, it is critical to characterize the associated organic matter porosity across length scales from 50 nm down to the angstrom level. We utilized wide Q-range neutron total scattering to characterize deuterated methane (CD</span><sub>4</sub><span>) adsorption at 60ºC up to the zero average contrast (ZAC) pressure (~60 MPa) within two mineralogically different samples collected from the same producing interval from the Middle Devonian Marcellus Shale. The neutron scattering approach used here provides structural information from the inter-atomic regime up to a nominal pore radius of ~12.5 nm and, by reaching the CD</span><sub>4</sub><span>&nbsp;ZAC pressure (~60 MPa), it is possible to examine the distribution of open versus closed pores within this pore size range in the samples. Our results indicate that ~10% of the largest pores measured are closed to CD</span><sub>4</sub><span>&nbsp;for a quartz-rich sample whereas up to 25% of pores with a nominal radius of ~12.5 nm are inaccessible within a sample with an equivalent proportion of quartz, carbonate, and clay. As pore size decreases, accessibility also decreases; all pores with radii ~0.5 nm are effectively closed to CD</span><sub>4</sub><span>&nbsp;in both samples. Additionally, up to ~4.5× more CD</span><sub>4</sub><span>&nbsp;is adsorbed within the quartz-rich sample at 60 MPa and we see no evidence for densification of CD</span><sub>4</sub><span>&nbsp;within the shale pores. These findings suggest that, for shale samples within the dry-gas window, (i) nanometer-scale porosity is primarily located within organic matter, (ii) the amount of available nano-porosity can vary widely over meter scales, and (iii) mineralogy plays a secondary role in dictating methane behavior within these systems.</span></p>","language":"English","publisher":"The American Chemical Society","doi":"10.1021/acs.energyfuels.0c02206","usgsCitation":"Jubb, A., Ruppert, L.F., Youngs, T.G., and Headen, T., 2020, Exploring methane behavior in Marcellus Shale micropores via contrast matching neutron scattering: Energy & Fuels, v. 34, no. 9, p. 10926-10932, https://doi.org/10.1021/acs.energyfuels.0c02206.","productDescription":"7 p.","startPage":"10926","endPage":"10932","onlineOnly":"N","ipdsId":"IP-119964","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":455553,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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Virginia\",\"nation\":\"USA  \"}}]}","volume":"34","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-08-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797282,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797283,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Youngs, Tristan G. A.","contributorId":202502,"corporation":false,"usgs":false,"family":"Youngs","given":"Tristan","email":"","middleInitial":"G. A.","affiliations":[{"id":36465,"text":"Disordered Materials Group (ISIS), STFC Rutherford Appleton Laboratory, U.K.","active":true,"usgs":false}],"preferred":false,"id":797284,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Headen, Thomas","contributorId":239572,"corporation":false,"usgs":false,"family":"Headen","given":"Thomas","affiliations":[],"preferred":false,"id":797285,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70212622,"text":"70212622 - 2020 - Pesticides and their degradates in groundwater reflect past use and current management strategies, Long Island, New York, USA","interactions":[],"lastModifiedDate":"2020-09-10T20:38:41.143823","indexId":"70212622","displayToPublicDate":"2020-08-23T09:11:21","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Pesticides and their degradates in groundwater reflect past use and current management strategies, Long Island, New York, USA","docAbstract":"<p><span>Long Island, New York, has a mix of urban/suburban to agricultural/horticultural land use and nearly 3 million residents that rely on a sole-source aquifer for drinking water. The analysis of shallow groundwater (&lt;40 m below land surface) collected from 54 monitoring wells across Long Island detected 53 pesticides or pesticide degradates. Maximum concentrations for individual pesticides or pesticide degradates ranged from 3 to 368,000 ng/L. The highest concentrations and most frequent pesticide detections occurred in samples collected from the pesticide management (PM) network, set in an agricultural/horticultural area in eastern Long Island with coordinated pesticide management by state and local agencies. The other two networks (Suffolk and Nassau/Queens) were set in suburban and urban areas, respectively, and had less frequent detections and lower pesticide concentrations than the PM network. Pesticide detections and concentration patterns (herbicide, insecticide, or fungicide) differed among the three networks revealing broad differences in land use. The predominance of fungicides metalaxyl, 1</span><i>H</i><span>-1,2,4-triazole (propiconazole/myclobutanil degradate), and 4-hydroxychlorothalonil (HCTL, chlorothalonil degradate) in samples from the PM network reflects their intensive use in agricultural settings. Total fungicide concentrations in the PM network ranged from &lt;10 to &gt;300,000 ng/L. The widespread detection of imidacloprid and triazine herbicides, simazine and atrazine, reveal a mixture of current and past use pesticides across the Long Island region. Low concentrations (&lt;200 ng/L) of the triazines in the Suffolk and Nassau/Queens networks may reflect a change in land use and application. Acetanilide herbicides and aldicarb have been discontinued for 20 and 40 years, respectively, yet the concentrations of their degradates were among the highest observed in this study. Acetanilide (total concentrations up to 10,000 ng/L) and aldicarb degradates (up to 270 ng/L) are present in the PM network at much lower concentrations than previous Long Island studies and reflect changes in agricultural practices and pesticide management.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2020.141895","usgsCitation":"Fisher, I., Phillips, P.J., Bayraktar, B., Chen, S., McCarthy, B.A., and Sandstrom, M.W., 2020, Pesticides and their degradates in groundwater reflect past use and current management strategies, Long Island, New York, USA: Science of the Total Environment, v. 752, 141895, 13 p., https://doi.org/10.1016/j.scitotenv.2020.141895.","productDescription":"141895, 13 p.","ipdsId":"IP-118513","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":377819,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New York","otherGeospatial":"Long Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -71.806640625,\n              41.05035951931887\n            ],\n            [\n              -72.18292236328125,\n              41.24270715552139\n            ],\n            [\n              -72.6910400390625,\n              41.03585891144301\n            ],\n            [\n              -73.35296630859375,\n              40.9964840143779\n            ],\n            [\n              -73.707275390625,\n              40.907285514728756\n            ],\n            [\n              -73.948974609375,\n              40.77430186363723\n            ],\n            [\n              -74.0313720703125,\n              40.686886382151116\n            ],\n            [\n              -74.058837890625,\n              40.622291783092706\n            ],\n            [\n              -74.02313232421875,\n              40.55972134684838\n            ],\n            [\n              -73.86383056640625,\n              40.53258931069554\n            ],\n            [\n              -72.96844482421875,\n              40.62437645591559\n            ],\n            [\n              -71.806640625,\n              41.05035951931887\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"752","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Fisher, Irene 0000-0002-3792-7235 ifisher@usgs.gov","orcid":"https://orcid.org/0000-0002-3792-7235","contributorId":223594,"corporation":false,"usgs":true,"family":"Fisher","given":"Irene","email":"ifisher@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797155,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Patrick J. 0000-0001-5915-2015 pjphilli@usgs.gov","orcid":"https://orcid.org/0000-0001-5915-2015","contributorId":172757,"corporation":false,"usgs":true,"family":"Phillips","given":"Patrick","email":"pjphilli@usgs.gov","middleInitial":"J.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797156,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bayraktar, Banu 0000-0003-3612-6767","orcid":"https://orcid.org/0000-0003-3612-6767","contributorId":217670,"corporation":false,"usgs":true,"family":"Bayraktar","given":"Banu","email":"","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797157,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chen, Shirley 0000-0002-3330-4110","orcid":"https://orcid.org/0000-0002-3330-4110","contributorId":239545,"corporation":false,"usgs":false,"family":"Chen","given":"Shirley","email":"","affiliations":[{"id":47905,"text":"USGS NYWSC - see notes","active":true,"usgs":false}],"preferred":false,"id":797158,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McCarthy, Brendan A. 0000-0003-4993-021X","orcid":"https://orcid.org/0000-0003-4993-021X","contributorId":221009,"corporation":false,"usgs":true,"family":"McCarthy","given":"Brendan","email":"","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797159,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":true,"id":797160,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70212990,"text":"70212990 - 2020 - Repetitive sampling and control threshold improve 16S rRNA results from produced waters associated with hydraulically fractured shales","interactions":[],"lastModifiedDate":"2020-09-25T13:23:31.678374","indexId":"70212990","displayToPublicDate":"2020-08-21T07:15:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1702,"text":"Frontiers in Microbiology","onlineIssn":"1664-302X","active":true,"publicationSubtype":{"id":10}},"title":"Repetitive sampling and control threshold improve 16S rRNA results from produced waters associated with hydraulically fractured shales","docAbstract":"<p><span>Sequencing microbial DNA from deep subsurface environments is complicated by a number of issues ranging from contamination to non-reproducible results. Many samples obtained from these environments - which are of great interest due to the potential to stimulate microbial methane generation - contain low biomass. Therefore, samples from these environments are difficult to study as sequencing results can be easily impacted by contamination. In this case, the low amount of sample biomass may be effectively swamped by the contaminating DNA and generate misleading results. Additionally, performing field work in these environments can be difficult, as researchers generally have limited access to and time on site. Therefore, optimizing a sampling plan to produce the best results while collecting the greatest number of samples over a short period of time is ideal. This study aimed to recommend an adequate sampling plan for field researchers obtaining microbial biomass for 16S rRNA gene sequencing, applicable specifically to oil and gas-producing environments.</span><br><span>Forty-nine different samples were collected by filtering specific volumes of produced water from a hydraulically fractured well producing from the Niobrara Shale. Water was collected in two different sampling events 24 hours apart. Four to five samples were collected from 11 specific volumes. These samples along with eight different blanks were submitted for analysis. DNA was extracted from each sample, and quantitative polymerase chain reaction (qPCR) and 16S rRNA Illumina MiSeq gene sequencing were performed to determine relative concentrations of biomass and microbial community composition, respectively. The qPCR results varied across sampled volumes, while no discernible trend correlated contamination to volume of water filtered. This suggests that collecting a larger volume of sample may not result in larger biomass concentrations or better representation of a sampled environment. Researchers could prioritize collecting many low volume samples over few high-volume samples. Our results suggest that there also may be variability in the concentration of microbial communities present in produced waters over short (i.e., hours) time scales, which warrants further investigation. Submission of multiple blanks is also vital to determining how contamination or low biomass effects may influence a sample set collected from an unknown environment.</span></p>","language":"English","publisher":"Frontiers Media","doi":"10.3389/fmicb.2020.536978","usgsCitation":"Shelton, J., Barnhart, E.P., Ruppert, L.F., Jubb, A., Blondes, M., and DeVera, C.A., 2020, Repetitive sampling and control threshold improve 16S rRNA results from produced waters associated with hydraulically fractured shales: Frontiers in Microbiology, v. 11, 536978, 14 p., https://doi.org/10.3389/fmicb.2020.536978.","productDescription":"536978, 14 p.","ipdsId":"IP-115291","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":455583,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmicb.2020.536978","text":"Publisher Index Page"},{"id":378159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","state":"Montana, Wyoming, Colorado, New Mexico, Texas, Oklahoma, Kansas, Nebraska, North Dakota, South Dakota, Alberta, Saskatchewan, Manitoba","otherGeospatial":"Great Plains, Niobrara Formation","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -114.697265625,\n              54.059387886623576\n            ],\n            [\n              -116.45507812500001,\n              51.17934297928927\n            ],\n            [\n              -113.818359375,\n              47.69497434186282\n            ],\n            [\n              -106.787109375,\n              43.644025847699496\n            ],\n            [\n           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    ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","noUsgsAuthors":false,"publicationDate":"2020-09-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Shelton, Jenna L. 0000-0002-1377-0675 jlshelton@usgs.gov","orcid":"https://orcid.org/0000-0002-1377-0675","contributorId":5025,"corporation":false,"usgs":true,"family":"Shelton","given":"Jenna L.","email":"jlshelton@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797913,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barnhart, Elliott P. 0000-0002-8788-8393","orcid":"https://orcid.org/0000-0002-8788-8393","contributorId":203225,"corporation":false,"usgs":true,"family":"Barnhart","given":"Elliott","middleInitial":"P.","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797914,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ruppert, Leslie F. 0000-0002-7453-1061 lruppert@usgs.gov","orcid":"https://orcid.org/0000-0002-7453-1061","contributorId":660,"corporation":false,"usgs":true,"family":"Ruppert","given":"Leslie","email":"lruppert@usgs.gov","middleInitial":"F.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797915,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Jubb, Aaron M. 0000-0001-6875-1079","orcid":"https://orcid.org/0000-0001-6875-1079","contributorId":201978,"corporation":false,"usgs":true,"family":"Jubb","given":"Aaron M.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797916,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blondes, Madalyn S. 0000-0003-0320-0107 mblondes@usgs.gov","orcid":"https://orcid.org/0000-0003-0320-0107","contributorId":3598,"corporation":false,"usgs":true,"family":"Blondes","given":"Madalyn S.","email":"mblondes@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797917,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"DeVera, Christina A. 0000-0002-4691-6108 cdevera@usgs.gov","orcid":"https://orcid.org/0000-0002-4691-6108","contributorId":3845,"corporation":false,"usgs":true,"family":"DeVera","given":"Christina","email":"cdevera@usgs.gov","middleInitial":"A.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":797918,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70237133,"text":"70237133 - 2020 - Step increase in eastern U.S. precipitation linked to Indian Ocean warming","interactions":[],"lastModifiedDate":"2022-09-30T11:38:19.67307","indexId":"70237133","displayToPublicDate":"2020-08-21T06:35:00","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1807,"text":"Geophysical Research Letters","active":true,"publicationSubtype":{"id":10}},"title":"Step increase in eastern U.S. precipitation linked to Indian Ocean warming","docAbstract":"<div class=\"article-section__content en main\"><p>A step increase in annual precipitation over the eastern United States in the early 1970s commenced five decades of invigorated hydroclimate, with ongoing impacts on streamflow and water resources. Despite its far-reaching impacts, the dynamical origin of this change is unknown. Here analyses of a century of atmospheric and oceanic data trace the dynamics to changes in the Indian Ocean. Increases in fall precipitation contribute most strongly to the step increase, and the associated mechanism is emergence of a pan-Pacific atmospheric wave emanating from deep convection over the warming Indian Ocean. Documentation of this fall teleconnection draws attention to projected anthropogenic increases in tropical oceanic heat content and their potential impacts on hydroclimate of the midlatitudes.</p></div>","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2020GL088911","usgsCitation":"Strong, C., McCabe, G.J., and Weech, A., 2020, Step increase in eastern U.S. precipitation linked to Indian Ocean warming: Geophysical Research Letters, v. 47, no. 17, e2020GL088911, 10 p., https://doi.org/10.1029/2020GL088911.","productDescription":"e2020GL088911, 10 p.","ipdsId":"IP-109186","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":467279,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2020gl088911","text":"Publisher Index Page"},{"id":407688,"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              -92.28515625,\n              23.563987128451217\n            ],\n            [\n              -65.91796875,\n              23.563987128451217\n            ],\n            [\n              -65.91796875,\n              49.83798245308484\n            ],\n            [\n              -92.28515625,\n              49.83798245308484\n            ],\n            [\n              -92.28515625,\n              23.563987128451217\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"47","issue":"17","noUsgsAuthors":false,"publicationDate":"2020-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Strong, Courtney","contributorId":297138,"corporation":false,"usgs":false,"family":"Strong","given":"Courtney","email":"","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":853426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McCabe, Gregory J. 0000-0002-9258-2997 gmccabe@usgs.gov","orcid":"https://orcid.org/0000-0002-9258-2997","contributorId":200854,"corporation":false,"usgs":true,"family":"McCabe","given":"Gregory","email":"gmccabe@usgs.gov","middleInitial":"J.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":853427,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Weech, Alexander","contributorId":297139,"corporation":false,"usgs":false,"family":"Weech","given":"Alexander","affiliations":[{"id":13252,"text":"University of Utah","active":true,"usgs":false}],"preferred":false,"id":853428,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70212543,"text":"70212543 - 2020 - Simultaneous Middle Pleistocene eruption of three widespread tholeiitic basalts in northern California (USA): Insights into crustal magma transport in an actively extending back arc","interactions":[],"lastModifiedDate":"2020-11-30T16:55:14.392114","indexId":"70212543","displayToPublicDate":"2020-08-19T10:13:25","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Simultaneous Middle Pleistocene eruption of three widespread tholeiitic basalts in northern California (USA): Insights into crustal magma transport in an actively extending back arc","docAbstract":"<p><span>Mapping and chronology are central to understanding spatiotemporal volcanic trends in diverse tectonic settings. The Cascades back arc in northern California (USA) hosts abundant lava flows and normal faults, but tholeiitic basalts older than 200 ka are difficult to discriminate by classic mapping methods. Paleomagnetism and chemistry offer independent means of correlating basalts, including the Tennant, Dry Lake, and Hammond Crossing basalt fields. Paleomagnetic analysis of these chemically similar basalts yield notable overlap, with statistical analysis yielding 7 chances in 1,000,000 that their similar mean remanent directions are random. These basalts also have overlapping&nbsp;</span><sup>40</sup><span>Ar/</span><sup>39</sup><span>Ar ages of 272.5 ± 30.6 ka (Tennant), 305.8 ± 23.9 ka (Dry Lake), and 300.4 ± 15.2 and 322.6 ± 17.4 ka (Hammond Crossing). Chemical and paleomagnetic analyses indicate that these spatially distributed basalts represent simultaneous (&lt;100 yr uncertainty) eruptions, and thus we use 305.5 ± 9.8 ka (weighted mean) as the eruption age. Their vents align on a N25°W trend over a distance of 39 km. Tennant erupted the largest volume (3.55 ± 0.75 km</span><sup>3</sup><span>) at the highest elevation; both factors decay to the south-southeast at Dry Lake (0.75 ± 0.15 km</span><sup>3</sup><span>) and Hammond Crossing (0.15 ± 0.05 km</span><sup>3</sup><span>). We propose vertical magma ascent beneath the Tennant vent area, where the most evolved, high-SiO</span><sub>2</sub><span>&nbsp;magma erupted, with lateral dike propagation in the brittle crust. Propagation was near orthogonal to east-west extension (0.3–0.6 mm/yr) along north-northwest–trending normal faults.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G48076.1","usgsCitation":"Downs, D.T., Champion, D.E., Muffler, L.P., Christiansen, R.L., Clynne, M.A., and Calvert, A.T., 2020, Simultaneous Middle Pleistocene eruption of three widespread tholeiitic basalts in northern California (USA): Insights into crustal magma transport in an actively extending back arc: Geology, v. 48, no. 12, p. 1216-1220, https://doi.org/10.1130/G48076.1.","productDescription":"5 p.","startPage":"1216","endPage":"1220","ipdsId":"IP-115431","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":377689,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Northern California","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -125.068359375,\n              37.26530995561875\n            ],\n            [\n              -119.53125,\n              37.26530995561875\n            ],\n            [\n              -119.53125,\n              41.902277040963696\n            ],\n            [\n              -125.068359375,\n              41.902277040963696\n            ],\n            [\n              -125.068359375,\n              37.26530995561875\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"48","issue":"12","noUsgsAuthors":false,"publicationDate":"2020-08-19","publicationStatus":"PW","contributors":{"authors":[{"text":"Downs, Drew T. 0000-0002-9056-1404 ddowns@usgs.gov","orcid":"https://orcid.org/0000-0002-9056-1404","contributorId":173516,"corporation":false,"usgs":true,"family":"Downs","given":"Drew","email":"ddowns@usgs.gov","middleInitial":"T.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796769,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Champion, Duane E. 0000-0001-7854-9034 dchamp@usgs.gov","orcid":"https://orcid.org/0000-0001-7854-9034","contributorId":2912,"corporation":false,"usgs":true,"family":"Champion","given":"Duane","email":"dchamp@usgs.gov","middleInitial":"E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796770,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muffler, L.J. Patrick 0000-0001-6638-7218 pmuffler@usgs.gov","orcid":"https://orcid.org/0000-0001-6638-7218","contributorId":3322,"corporation":false,"usgs":true,"family":"Muffler","given":"L.J.","email":"pmuffler@usgs.gov","middleInitial":"Patrick","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796771,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Christiansen, Robert L. 0000-0002-8017-3918 rchris@usgs.gov","orcid":"https://orcid.org/0000-0002-8017-3918","contributorId":4412,"corporation":false,"usgs":true,"family":"Christiansen","given":"Robert","email":"rchris@usgs.gov","middleInitial":"L.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796772,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clynne, Michael A. 0000-0002-4220-2968 mclynne@usgs.gov","orcid":"https://orcid.org/0000-0002-4220-2968","contributorId":2032,"corporation":false,"usgs":true,"family":"Clynne","given":"Michael","email":"mclynne@usgs.gov","middleInitial":"A.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796773,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Calvert, Andrew T. 0000-0001-5237-2218 acalvert@usgs.gov","orcid":"https://orcid.org/0000-0001-5237-2218","contributorId":2694,"corporation":false,"usgs":true,"family":"Calvert","given":"Andrew","email":"acalvert@usgs.gov","middleInitial":"T.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":796774,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70212795,"text":"70212795 - 2020 - Reversal of forest soil acidification in the northeastern United States and eastern Canada: Site and soil factors contributing to recovery","interactions":[],"lastModifiedDate":"2020-08-31T12:46:47.966694","indexId":"70212795","displayToPublicDate":"2020-08-18T07:58:33","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5626,"text":"Soil Systems","active":true,"publicationSubtype":{"id":10}},"title":"Reversal of forest soil acidification in the northeastern United States and eastern Canada: Site and soil factors contributing to recovery","docAbstract":"<p><span>As acidic deposition has decreased across Eastern North America, forest soils at some sites are beginning to show reversal of soil acidification. However, the degree of recovery appears to vary and is not fully explained by deposition declines alone. To assess if other site and soil factors can help to explain degree of recovery from acid deposition, soil resampling chemistry data (8- to 24-year time interval) from 23 sites in the United States and Canada, located across 25° longitude from Eastern Maine to Western Ontario, were explored. Site and soil factors included recovery years, sulfate (SO</span><sub>4</sub><sup>2−</sup><span>) deposition history, SO</span><sub>4</sub><sup>2−</sup><span>&nbsp;reduction rate, C horizon pH and exchangeable calcium (Ca), O and B horizon pH, base saturation, and exchangeable Ca and aluminum (Al) at the time of the initial sampling. We found that O and B horizons that were initially acidified to a greater degree showed greater recovery and B horizon recovery was further associated with an increase in recovery years and lower initial SO</span><sub>4</sub><sup>2−</sup><span>&nbsp;deposition. Forest soils that seemingly have low buffering capacity and a reduced potential for recovery have the resilience to recover from the effects of previous high levels of acidic deposition. This suggests, that predictions of where forest soils acidification reversal will occur across the landscape should be refined to acknowledge the importance of upper soil profile horizon chemistry rather than the more traditional approach using only parent material characteristics.</span></p>","language":"English","publisher":"MDPI","doi":"10.3390/soilsystems4030054","issn":"2571-8789","usgsCitation":"Hazlett, P., Emilson, C., Lawrence, G.B., Fernandez, I.J., Ouimet, R., and Bailey, S., 2020, Reversal of forest soil acidification in the northeastern United States and eastern Canada: Site and soil factors contributing to recovery: Soil Systems, v. 4, no. 3, 54, 22 p., https://doi.org/10.3390/soilsystems4030054.","productDescription":"54, 22 p.","ipdsId":"IP-120230","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":455610,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/soilsystems4030054","text":"Publisher Index Page"},{"id":377978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, Canada","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -90.615234375,\n              48.719961222646276\n            ],\n            [\n              -94.39453125,\n              45.30580259943578\n            ],\n            [\n              -93.55957031249999,\n              41.31082388091818\n            ],\n            [\n              -91.97753906249999,\n              37.16031654673677\n            ],\n            [\n              -81.650390625,\n              38.92522904714054\n            ],\n            [\n              -75.9814453125,\n              39.9434364619742\n            ],\n            [\n              -70.3564453125,\n              41.541477666790286\n            ],\n            [\n              -63.984375,\n              46.13417004624326\n            ],\n            [\n              -64.599609375,\n              49.15296965617042\n            ],\n            [\n              -79.365234375,\n              47.754097979680026\n            ],\n            [\n              -90.615234375,\n              48.719961222646276\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"4","issue":"3","noUsgsAuthors":false,"publicationDate":"2020-08-27","publicationStatus":"PW","contributors":{"authors":[{"text":"Hazlett, P.W.","contributorId":239646,"corporation":false,"usgs":false,"family":"Hazlett","given":"P.W.","email":"","affiliations":[{"id":13540,"text":"Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":797473,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Emilson, C.E. 0000-0002-4770-1117","orcid":"https://orcid.org/0000-0002-4770-1117","contributorId":239647,"corporation":false,"usgs":false,"family":"Emilson","given":"C.E.","email":"","affiliations":[{"id":13540,"text":"Canadian Forest Service","active":true,"usgs":false}],"preferred":false,"id":797474,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lawrence, Gregory B. 0000-0002-8035-2350 glawrenc@usgs.gov","orcid":"https://orcid.org/0000-0002-8035-2350","contributorId":867,"corporation":false,"usgs":true,"family":"Lawrence","given":"Gregory","email":"glawrenc@usgs.gov","middleInitial":"B.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":797475,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fernandez, I. J. 0000-0002-7220-2205","orcid":"https://orcid.org/0000-0002-7220-2205","contributorId":239648,"corporation":false,"usgs":false,"family":"Fernandez","given":"I.","email":"","middleInitial":"J.","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":797476,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ouimet, R. 0000-0003-1282-2493","orcid":"https://orcid.org/0000-0003-1282-2493","contributorId":239649,"corporation":false,"usgs":false,"family":"Ouimet","given":"R.","email":"","affiliations":[{"id":47952,"text":"Quebec Ministry of Forestry, Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":797477,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bailey, S.W. 0000-0002-9160-156X","orcid":"https://orcid.org/0000-0002-9160-156X","contributorId":239650,"corporation":false,"usgs":false,"family":"Bailey","given":"S.W.","affiliations":[{"id":36493,"text":"USDA Forest Service","active":true,"usgs":false}],"preferred":false,"id":797478,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70211901,"text":"cir1466 - 2020 - Strategic Plan for the North American Breeding Bird Survey, 2020–30","interactions":[{"subject":{"id":79922,"text":"cir1307 - 2007 - Strategic Plan for the North American Breeding Bird Survey: 2006-2010","indexId":"cir1307","publicationYear":"2007","noYear":false,"title":"Strategic Plan for the North American Breeding Bird Survey: 2006-2010"},"predicate":"SUPERSEDED_BY","object":{"id":70211901,"text":"cir1466 - 2020 - Strategic Plan for the North American Breeding Bird Survey, 2020–30","indexId":"cir1466","publicationYear":"2020","noYear":false,"title":"Strategic Plan for the North American Breeding Bird Survey, 2020–30"},"id":1}],"lastModifiedDate":"2024-03-04T19:17:17.051404","indexId":"cir1466","displayToPublicDate":"2020-08-13T12:20:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":307,"text":"Circular","code":"CIR","onlineIssn":"2330-5703","printIssn":"1067-084X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1466","displayTitle":"Strategic Plan for the North American Breeding Bird Survey, 2020–30","title":"Strategic Plan for the North American Breeding Bird Survey, 2020–30","docAbstract":"<p>The North American Breeding Bird Survey (BBS) has been the cornerstone of continental bird conservation and management for hundreds of North American bird species in the United States and Canada for more than 50 years. This strategic plan was developed in collaboration with key partners and stakeholders and charts the ambitious course for the BBS over the next decade (2020–30). Using this plan as a guide, the BBS program will set out to improve the breadth and depth of standardized data collection and analytical products; ensure its products are widely used and recognized as the authoritative source for long-term population change information for most birds; and secure adequate resources, internally and through partnerships, to realize the expanded vision of the BBS intended to support avian management needs through 2030.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1466","usgsCitation":"U.S. Geological Survey and Canadian Wildlife Service, 2020, Strategic Plan for the North American Breeding Bird Survey, 2020–30: U.S. Geological Survey Circular 1466, 10 p., https://doi.org/10.3133/cir1466. [Supersedes USGS Circular 1307.]","productDescription":"vi, 10 p.","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-118858","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":377479,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1466/cir1466.pdf","text":"Report","size":"24.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"CIR 1466"},{"id":377478,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1466/coverthb.jpg"}],"country":"Canada, Mexico, United States","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.2412109375,\n              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Circular 1307.","contact":"<p>Director, <a href=\"https://www.usgs.gov/centers/eesc\" data-mce-href=\"https://www.usgs.gov/centers/eesc\">Eastern Ecological Science Center</a><br>U.S. Geological Survey<br>12100 Beech Forest Road<br>Laurel, MD 20708-4039</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","tableOfContents":"<ul><li>Acknowledgments</li><li>Abstract</li><li>Introduction</li><li>Vision</li><li>Mission</li><li>Strategic Goals and Objectives</li><li>References Cited</li><li>Appendix 1. Overview and Brief History of the North American Breeding Bird Survey</li></ul>","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-08-13","noUsgsAuthors":false,"publicationDate":"2020-08-13","publicationStatus":"PW","contributors":{"authors":[{"text":"U.S. Geological Survey","contributorId":128037,"corporation":true,"usgs":false,"organization":"U.S. Geological Survey","id":796149,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Canadian Wildlife Service","contributorId":238145,"corporation":true,"usgs":false,"organization":"Canadian Wildlife Service","id":796150,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70212473,"text":"70212473 - 2020 - Boreal blazes: Biomass burning and vegetation types archived in the Juneau Icefield","interactions":[],"lastModifiedDate":"2020-09-09T14:53:31.855594","indexId":"70212473","displayToPublicDate":"2020-08-11T08:35:13","publicationYear":"2020","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":"Boreal blazes: Biomass burning and vegetation types archived in the Juneau Icefield","docAbstract":"<div class=\"article-text wd-jnl-art-abstract cf\"><p>The past decade includes some of the most extensive boreal forest fires in the historical record. Warming temperatures, changing precipitation patterns, the desiccation of thick organic soil layers, and increased ignition from lightning all contribute to a combustive combination. Smoke aerosols travel thousands of kilometers, before blanketing the surfaces on which they fall, such as the Juneau Icefield. However, many aerosols found in smoke plumes are also produced by other processes and therefore can be ambiguous indicators of fire activity. Here, we use the monosaccharide anhydrides levoglucosan, mannosan, and galactosan as specific indicators of biomass burning to unambiguously demonstrate that fire aerosols reach the Juneau Icefield and are integrated into the snowpack. Back trajectories and satellite observations demonstrate that smoke plumes originating in central Alaska and eastern Siberia affect the Juneau Icefield. These regional sources of fire differ from other combustion aerosols deposited on the Juneau Icefield, such as black carbon, that originate from local fossil fuel burning. Ratios of levoglucosan/mannosan (L/M) and levoglucosan/(mannosan + galactosan) (L/(M + G)) demonstrate that while the majority of fire aerosols reaching the Juneau Icefield originate from softwood burning, grasslands and hardwood forests are also sources. The presence of these hardwoods suggests that fire aerosols may reach the Juneau Icefield from locations as far away as East Asia.</p></div>","language":"English","publisher":"IOP Science","doi":"10.1088/1748-9326/ab8fd2","usgsCitation":"Kehrwald, N., Jasmann, J.R., Dunham, M.E., Ferris, D.G., Osterburg, E.C., Kennedy, J., Havens, J.C., Fortner, S.K., and Barber, L., 2020, Boreal blazes: Biomass burning and vegetation types archived in the Juneau Icefield: Environmental Research Letters, v. 15, no. 8, 085005, 15 p., https://doi.org/10.1088/1748-9326/ab8fd2.","productDescription":"085005, 15 p.","ipdsId":"IP-111615","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":455677,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1088/1748-9326/ab8fd2","text":"Publisher Index Page"},{"id":377596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","otherGeospatial":"Juneau icefield","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -136.51611328125,\n              58.00809779306888\n            ],\n            [\n              -133.6376953125,\n              58.00809779306888\n            ],\n            [\n              -133.6376953125,\n              59.7563950493563\n            ],\n            [\n              -136.51611328125,\n              59.7563950493563\n            ],\n            [\n              -136.51611328125,\n              58.00809779306888\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"15","issue":"8","noUsgsAuthors":false,"publicationDate":"2020-08-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Kehrwald, Natalie 0000-0002-9160-2239","orcid":"https://orcid.org/0000-0002-9160-2239","contributorId":220636,"corporation":false,"usgs":true,"family":"Kehrwald","given":"Natalie","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":796402,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jasmann, Jeramy Roland 0000-0002-5251-6987","orcid":"https://orcid.org/0000-0002-5251-6987","contributorId":238713,"corporation":false,"usgs":true,"family":"Jasmann","given":"Jeramy","email":"","middleInitial":"Roland","affiliations":[{"id":37277,"text":"WMA - 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II 0000-0003-0901-2529 rseal@usgs.gov","orcid":"https://orcid.org/0000-0003-0901-2529","contributorId":141204,"corporation":false,"usgs":true,"family":"Seal,","given":"Robert R.","suffix":"II","email":"rseal@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":820966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Piatak, Nadine M. 0000-0002-1973-8537 npiatak@usgs.gov","orcid":"https://orcid.org/0000-0002-1973-8537","contributorId":193010,"corporation":false,"usgs":true,"family":"Piatak","given":"Nadine","email":"npiatak@usgs.gov","middleInitial":"M.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":820967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cannon, William F. 0000-0002-2699-8118","orcid":"https://orcid.org/0000-0002-2699-8118","contributorId":201972,"corporation":false,"usgs":true,"family":"Cannon","given":"William","email":"","middleInitial":"F.","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":820968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":820969,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nord, Julia","contributorId":264146,"corporation":false,"usgs":false,"family":"Nord","given":"Julia","email":"","affiliations":[],"preferred":false,"id":820970,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70211670,"text":"ofr20201090 - 2020 - Characterization of peak streamflow and stages at selected streamgages in eastern and northeastern Oklahoma from the May to June 2019 flood event—With an emphasis on flood peaks downstream from dams and on tributaries to the Arkansas River","interactions":[],"lastModifiedDate":"2020-08-11T12:30:03.982099","indexId":"ofr20201090","displayToPublicDate":"2020-08-10T15:26:46","publicationYear":"2020","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":"2020-1090","displayTitle":"Characterization of Peak Streamflow and Stages at Selected Streamgages in Eastern and Northeastern Oklahoma from the May to June 2019 Flood Event—With an Emphasis on Flood Peaks Downstream from Dams and on Tributaries to the Arkansas River","title":"Characterization of peak streamflow and stages at selected streamgages in eastern and northeastern Oklahoma from the May to June 2019 flood event—With an emphasis on flood peaks downstream from dams and on tributaries to the Arkansas River","docAbstract":"<p>As much as 22 inches of rain fell in Oklahoma in May 2019, resulting in historic flooding along the Arkansas River and its tributaries in eastern and northeastern Oklahoma. The flooding along the Arkansas River and its tributaries that began in May continued into June 2019. Peaks of record were measured at nine U.S. Geological Survey (USGS) and U.S. Army Corps of Engineers (USACE) streamgages on various streams in eastern and northeastern Oklahoma. This report documents the peak streamflows and stages for 38 selected streamgages in eastern and northeastern Oklahoma and is a followup to a previous report by the USGS that documented flood peaks associated with the May 2019 flood event. Most of the flood peaks occurred from May 26 to June 4, 2019. This report includes data from streamgages on tributaries to the Arkansas River and uses modeling methods to extend the period of record for Arkansas River streamgages. The historic flooding caused homes to fall into the river as a result of bank erosion, forced some towns to be evacuated, and resulted in the highest flood depths in Tulsa, Oklahoma, since 1986. Several USGS and USACE streamgages along the Arkansas River and its tributaries recorded new peaks of record.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201090","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency and the U.S. Army Corps of Engineers","usgsCitation":"Lewis, J.M., Williams, D.J., Harris, S.J., and Trevisan, A.R., 2020, Characterization of peak streamflow and stages at selected streamgages in eastern and northeastern Oklahoma from the May to June 2019 flood event—With an emphasis on flood peaks downstream from dams and on tributaries to the Arkansas River: U.S. Geological Survey Open-File Report 2020–1090, 18 p., https://doi.org/10.3133/ofr20201090.","productDescription":"Report: iv, 18 p.; Data Release","numberOfPages":"26","onlineOnly":"Y","ipdsId":"IP-118379","costCenters":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"links":[{"id":377112,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9T3Q6MB","text":"USGS data release","description":"USGS Data Release","linkHelpText":"RiverWare model outputs for flood calculations along the Arkansas River for a flood event in eastern and northeastern Oklahoma during May–June 2019"},{"id":377111,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1090/ofr20201090.pdf","text":"Report","size":"4.47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020–1090"},{"id":377110,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1090/coverthb.jpg"}],"country":"United States","state":"Oklahoma","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -98.61328125,\n              34.59704151614417\n            ],\n            [\n              -94.1748046875,\n              34.59704151614417\n            ],\n            [\n              -94.1748046875,\n              37.125286284966805\n            ],\n            [\n              -98.61328125,\n              37.125286284966805\n            ],\n            [\n              -98.61328125,\n              34.59704151614417\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, <a data-mce-href=\"https://www.usgs.gov/centers/ok-water/\" href=\"https://www.usgs.gov/centers/ok-water/\">Oklahoma-Texas Water Science Center</a><br>U.S. Geological Survey<br>1505 Ferguson Lane <br>Austin, TX 78754–4501<br> </p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>General Weather Conditions and Rainfall During May 2019</li><li>Methods</li><li>Peak Streamflows and Stages</li><li>Flood Exceedance Probabilities of Peak Streamflows</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"publishedDate":"2020-08-10","noUsgsAuthors":false,"publicationDate":"2020-08-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Lewis, Jason M. 0000-0001-5337-1890 jmlewis@usgs.gov","orcid":"https://orcid.org/0000-0001-5337-1890","contributorId":3854,"corporation":false,"usgs":true,"family":"Lewis","given":"Jason","email":"jmlewis@usgs.gov","middleInitial":"M.","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794969,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Williams, David J.","contributorId":150357,"corporation":false,"usgs":true,"family":"Williams","given":"David","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":794970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Harris, Sarah J.","contributorId":237011,"corporation":false,"usgs":false,"family":"Harris","given":"Sarah","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":794971,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trevisan, A.R. 0000-0002-7295-145X","orcid":"https://orcid.org/0000-0002-7295-145X","contributorId":220399,"corporation":false,"usgs":true,"family":"Trevisan","given":"A.R.","email":"","affiliations":[{"id":516,"text":"Oklahoma Water Science Center","active":true,"usgs":true}],"preferred":true,"id":794972,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196827,"text":"sim3406 - 2020 - Geomorphic map of western Whatcom County, Washington","interactions":[],"lastModifiedDate":"2021-11-29T11:25:56.313865","indexId":"sim3406","displayToPublicDate":"2020-08-10T14:26:38","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3406","displayTitle":"Geomorphic Map of Western Whatcom County, Washington","title":"Geomorphic map of western Whatcom County, Washington","docAbstract":"<p>Western Whatcom County has a rich history of glaciation, sea-level change, fluvial erosion and deposition, landsliding, nearby volcanic activity, and human landscape modification. This lidar-derived geomorphic map interprets this history from the form and position of the Earth’s surface.</p><p>The geomorphic record is broken into nine phases, beginning with the peak of the Vashon stade of the Fraser glaciation of Armstrong and others (1965) (phase 1), shortly after 16,000 years ago. The Cordilleran ice sheet was ≥1.6 km thick in the Bellingham area. Glacial lineations on high ground demonstrate that ice flow was from north to south. Storage of water in ice sheets at this time resulted in global sea level ~120 m lower than at present. The weight of the ice sheet depressed the land so that local relative sea level was at least 150 m higher than at present. As the ice sheet melted and thinned, it floated, broke up, and was replaced by salt water. The margin of the ice sheet—or at least its grounding line—retreated to the northeast of the map area during or before phase 2. Marine deposition, currents, and waves smoothed earlier-formed surfaces in the western part of the map area. Global sea level rose (because of melting of continental ice sheets), but the Fraser Lowland rose even faster (due to glacio-isostatic rebound following the loss of ice-sheet load), and thus local relative sea level fell.</p><p>The Cordilleran ice sheet readvanced during the Sumas stade of Armstrong and others (1965). Oldest Sumas moraines formed when relative sea level at Bellingham was ~55 m (phase 3). Younger moraines formed when relative sea level at Bellingham was ~25 m (phase 4). The amount of Sumas ice retreat and readvance between these times is unknown. Younger Sumas events are marked by local moraines, progressive isostatic rebound and lowering of relative sea level, and changes in the flow of ice-marginal water. During phase 5, the southeast margin of the ice sheet advanced, perhaps because capture of ice-marginal drainage by the Samish River (east and south of the map area) meant the ice sheet was no longer trimmed by high-discharge flow along Squalicum channel. Farther west and north, the ice margin retreated between phases 4 and 5. Phases 6 through 9 may mark stillstands during further ice retreat. There were glacial outburst floods (jökulhlaups) during phases 7 and 8, and perhaps during phase 5.&nbsp;</p><p>When Sumas ice left the area, perhaps about 11,500 years ago, the Nooksack River appears to have discharged northeast through Sumas Valley to the Fraser River. Details of the switch to its modern course are speculative, but archaeological and sediment-supply arguments suggest that the modern Nooksack River delta south of Ferndale formed within the past 5,000 years.</p><p>The foothills of the North Cascades are decorated with abundant post-glacial deep-seated landslides. Anomalously high late Holocene beaches are found at Birch Bay, Neptune Beach, perhaps at Maple Beach on the east side of Point Roberts, and perhaps at the northwest corner of the Lummi Peninsula. These beaches may have been uplifted by earthquakes that did not rupture the surface.</p><p>The low-relief landscape shaped by the Cordilleran ice sheet, along with fluvial infilling of low areas, resulted in abundant wetland, at least 70 percent of which has been diked and (or) drained to control flooding and facilitate farming.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3406","collaboration":"Prepared in cooperation with Whatcom County and the Washington State Department of Natural Resources","usgsCitation":"Kovanen, D.J., Haugerud, R.A., and Easterbrook, D.J., 2020, Geomorphic map of western Whatcom County, Washington (ver. 1.1, November 2021): U.S. Geological Survey Scientific Investigations Map 3406, pamphlet 42 p., scale 1:50,000, https://doi.org/10.3133/sim3406.","productDescription":"Pamphlet: vi, 42 p.; Plate: 65.10 x 39.00 inches; Metadata; Read Me; 4 Databases; Version History","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-086454","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":392128,"rank":11,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sim/3406/versionHist.txt"},{"id":377137,"rank":10,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3406/database/XML_metadata.zip","text":"XML_metadata","size":"109 KB","linkFileType":{"id":6,"text":"zip"},"description":"XML_metadata.zip"},{"id":377136,"rank":9,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3406/database/SIM3406-simple.zip","text":"SIM3406-simple","size":"13.9 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM3406-simple.zip"},{"id":377135,"rank":8,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3406/database/SIM3406-open.zip","text":"SIM3406-open","size":"13.7 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM3406-open.zip"},{"id":377134,"rank":7,"type":{"id":9,"text":"Database"},"url":"https://pubs.usgs.gov/sim/3406/database/SIM3406-gdb.zip","text":"SIM3406-gdb","size":"62.6 MB","linkFileType":{"id":6,"text":"zip"},"description":"SIM3406-gdb.zip"},{"id":377133,"rank":6,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sim/3406/00Readme.txt","size":"3 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3406 Read Me"},{"id":377132,"rank":5,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3406/sim3406_metadata.xml","size":"18 KB xml","description":"SIM 3406 Metadata xml"},{"id":377131,"rank":4,"type":{"id":16,"text":"Metadata"},"url":"https://pubs.usgs.gov/sim/3406/sim3406_metadata.txt","size":"17 KB","linkFileType":{"id":2,"text":"txt"},"description":"SIM 3406 Metadata text"},{"id":377130,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3406/sim3406.pdf","text":"Map","size":"16.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3406"},{"id":377129,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3406/sim3406_pamphlet_v1.1.pdf","text":"Pamphlet","size":"11.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIM 3406 Pamphlet"},{"id":377128,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sim/3406/coverthb.jpg"}],"country":"United States","state":"Washington","county":"Whatcom County","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n               -123.1185,\n              48.6169\n            ],\n            [\n              -122.2390,\n              48.6169\n            ],\n            [\n              -122.2390,\n               49.0156\n            ],\n            [\n               -123.1185,\n               49.0156\n            ],\n            [\n               -123.1185,\n               48.6169\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","edition":"Version 1.0: August 2020;  Version 1.1: November 2021","contact":"<p><a href=\"https://www.usgs.gov/centers/gmeg\" target=\"_blank\" rel=\"noopener\" data-mce-href=\"https://www.usgs.gov/centers/gmeg\">Geology, Minerals, Energy, &amp; Geophysics Science Center</a><br><a data-mce-href=\"https://www.usgs.gov/\" href=\"https://www.usgs.gov/\" target=\"_blank\" rel=\"noopener\">U.S. Geological Survey</a><br>345 Middlefield Road<br>Menlo Park, CA 94025</p>","tableOfContents":"<ul><li>Introduction</li><li>Methods</li><li>Landscape Evolution During the Past 16,000 Years</li><li>Geomorphic Evidence Regarding the Yo-Yo Hypothesis</li><li>Potential Changes to Stratigraphic Nomenclature</li><li>References Cited</li></ul>","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"publishedDate":"2020-08-10","revisedDate":"2021-11-26","noUsgsAuthors":false,"publicationDate":"2020-08-10","publicationStatus":"PW","contributors":{"authors":[{"text":"Kovanen, Dori J.","contributorId":204670,"corporation":false,"usgs":false,"family":"Kovanen","given":"Dori","email":"","middleInitial":"J.","affiliations":[{"id":36972,"text":"University of British Columbia","active":true,"usgs":false}],"preferred":false,"id":734632,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haugerud, Ralph A. 0000-0001-7302-4351 rhaugerud@usgs.gov","orcid":"https://orcid.org/0000-0001-7302-4351","contributorId":2691,"corporation":false,"usgs":true,"family":"Haugerud","given":"Ralph","email":"rhaugerud@usgs.gov","middleInitial":"A.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":734631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Easterbrook, Don J.","contributorId":204671,"corporation":false,"usgs":false,"family":"Easterbrook","given":"Don","email":"","middleInitial":"J.","affiliations":[{"id":12723,"text":"Western Washington University","active":true,"usgs":false}],"preferred":false,"id":734633,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70216776,"text":"70216776 - 2020 - Integrating airborne remote sensing and field campaigns for ecology and Earth system science","interactions":[],"lastModifiedDate":"2020-12-07T16:36:45.211204","indexId":"70216776","displayToPublicDate":"2020-08-08T10:08:31","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2717,"text":"Methods in Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Integrating airborne remote sensing and field campaigns for ecology and Earth system science","docAbstract":"<ol class=\"\"><li>In recent years, the availability of airborne imaging spectroscopy (hyperspectral) data has expanded dramatically. The high spatial and spectral resolution of these data uniquely enable spatially explicit ecological studies including species mapping, assessment of drought mortality and foliar trait distributions. However, we have barely begun to unlock the potential of these data to use direct mapping of vegetation characteristics to infer subsurface properties of the critical zone. To assess their utility for Earth systems research, imaging spectroscopy data acquisitions require integration with large, coincident ground‐based datasets collected by experts in ecology and environmental and Earth science. Without coordinated, well‐planned field campaigns, potential knowledge leveraged from advanced airborne data collections could be lost. Despite the growing importance of this field, documented methods to couple such a wide variety of disciplines remain sparse.</li><li>We coordinated the first National Ecological Observatory Network Airborne Observation Platform (AOP) survey performed outside of their core sites, which took place in the Upper East River watershed, Colorado. Extensive planning for sample tracking and organization allowed field and flight teams to update the ground‐based sampling strategy daily. This enabled collection of an extensive set of physical samples to support a wide range of ecological, microbiological, biogeochemical and hydrological studies.</li><li>We present a framework for integrating airborne and field campaigns to obtain high‐quality data for foliar trait prediction and document an archive of coincident physical samples collected to support a systems approach to ecological research in the critical zone. This detailed methodological account provides an example of how a multi‐disciplinary and multi‐institutional team can coordinate to maximize knowledge gained from an airborne survey, an approach that could be extended to other studies.</li><li>The coordination of imaging spectroscopy surveys with appropriately timed and extensive field surveys, along with high‐quality processing of these data, presents a unique opportunity to reveal new insights into the structure and dynamics of the critical zone. To our knowledge, this level of co‐aligned sampling has never been undertaken in tandem with AOP surveys and subsequent studies utilizing this archive will shed considerable light on the breadth of applications for which imaging spectroscopy data can be leveraged.</li></ol>","language":"English","publisher":"Wiley","doi":"10.1111/2041-210X.13463","usgsCitation":"Chadwick, K.D., Brodrick, P.G., Grant, K., Goulden, T., Henderson, A., Falco, N., Wainwright, H., Williams, K., Bill, M., Breckheimer, I., Brodie, E., Steltzer, H., Williams, C.F., Blonder, B., Chen, J., Dafflon, B., Damerow, J., Hancher, M., Khurram, A., Lamb, J., Lawrence, C.R., McCormick, M., Musinsky, J., Pierce, S., Polussa, A., Hastings Porro, M., Scott, A., Wu Singh, H., Sorensen, P., Varadharajan, C., Whitney, B., and Maher, K., 2020, Integrating airborne remote sensing and field campaigns for ecology and Earth system science: Methods in Ecology and Evolution, v. 11, no. 11, p. 1492-1508, https://doi.org/10.1111/2041-210X.13463.","productDescription":"17 p.","startPage":"1492","endPage":"1508","ipdsId":"IP-118938","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":455710,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/2041-210x.13463","text":"Publisher Index Page"},{"id":381039,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Upper East River","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -107.01129913330078,\n              38.68443777679761\n            ],\n            [\n              -106.80255889892578,\n              38.68443777679761\n            ],\n            [\n              -106.80255889892578,\n              38.89717867392901\n            ],\n            [\n              -107.01129913330078,\n              38.89717867392901\n            ],\n            [\n              -107.01129913330078,\n              38.68443777679761\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"11","noUsgsAuthors":false,"publicationDate":"2020-09-24","publicationStatus":"PW","contributors":{"authors":[{"text":"Chadwick, K. 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,{"id":70211646,"text":"70211646 - 2020 - Evaluation of genetic structuring within GIS‐derived Brook Trout management units","interactions":[],"lastModifiedDate":"2021-01-25T15:51:59.457998","indexId":"70211646","displayToPublicDate":"2020-08-06T10:05:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Evaluation of genetic structuring within GIS‐derived Brook Trout management units","docAbstract":"<p><span>Delineation of management units across broad spatial scales can help to visualize population structuring and identify conservation opportunities. Geographical information system (GIS) approaches can be useful for developing broad‐scale management units, especially when paired with field data that can validate the GIS‐based delineations. Genetic data can be useful for evaluating whether management units accurately represent population structuring. The Eastern Brook Trout Joint Venture, a regionwide collaborative group, delineated patch‐based management units for Brook Trout&nbsp;</span><i>Salvelinus fontinalis</i><span>&nbsp;by using GIS approaches to inform conservation strategies across the eastern United States. The objectives of this research were to (1) evaluate how well the patches predicted Brook Trout genetic structuring in Connecticut, USA; (2) modify the patches as needed to represent contemporary genetic structuring; and (3) identify catchment‐ and patch‐scale riverscape characteristics that predict genetic diversity. Patches with dams and high levels of upstream impervious surfaces (&gt;3%) had increased intrapatch genetic structuring, which we incorporated into our revised patch delineation algorithm. Patch area and catchment area were the best predictors of genetic diversity, suggesting the importance of maintaining connectivity and incorporating patch‐scale processes into conservation actions. The modified patch layer could be used as the basis for Brook Trout management units to help predict population structuring in the absence of watershed‐scale genetic data, allowing opportunities for Brook Trout conservation to be identified.</span></p>","language":"English","publisher":"American Fisheries Society","doi":"10.1002/tafs.10260","usgsCitation":"Nathan, L., Kanno, Y., Letcher, B., Welsh, A.B., Whiteley, A.R., and Vokoun, J., 2020, Evaluation of genetic structuring within GIS‐derived Brook Trout management units: Transactions of the American Fisheries Society, v. 149, no. 6, p. 681-694, https://doi.org/10.1002/tafs.10260.","productDescription":"14 p.","startPage":"681","endPage":"694","ipdsId":"IP-117802","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":382550,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United 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Center","active":true,"usgs":true}],"preferred":true,"id":794914,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Welsh, Amy B.","contributorId":192239,"corporation":false,"usgs":false,"family":"Welsh","given":"Amy","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":794915,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Whiteley, Andrew R.","contributorId":150155,"corporation":false,"usgs":false,"family":"Whiteley","given":"Andrew","email":"","middleInitial":"R.","affiliations":[{"id":6932,"text":"University of Massachusetts, Amherst","active":true,"usgs":false}],"preferred":false,"id":794916,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Vokoun, Jason C.","contributorId":236998,"corporation":false,"usgs":false,"family":"Vokoun","given":"Jason C.","affiliations":[{"id":47587,"text":"University of CT","active":true,"usgs":false}],"preferred":false,"id":794917,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70228153,"text":"70228153 - 2020 - Citizen scientists record novel leaf phenology of invasive shrubs in eastern U.S. forests","interactions":[],"lastModifiedDate":"2022-02-07T17:26:53.588745","indexId":"70228153","displayToPublicDate":"2020-08-03T11:15:39","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1018,"text":"Biological Invasions","active":true,"publicationSubtype":{"id":10}},"title":"Citizen scientists record novel leaf phenology of invasive shrubs in eastern U.S. forests","docAbstract":"Invasive shrubs are an emergent concern in deciduous forests of eastern North America. Their extended leaf phenology (ELP) – earlier leaf emergence and later leaf off compared to native shrubs and the overstory canopy – can simultaneously provide photosynthetic benefits to invasive shrubs while negatively affecting native flora and fauna through providing novel understory shade when the overstory canopy is leafless. However, phenology varies geographically, and the degree to which ELP from local-scale studies applies across the range of forests experiencing shrub invasion is unknown. In partnership with the USA National Phenology Network, we developed a citizen science campaign to record broad patterns of species-specific ELP – an otherwise prohibitively large effort. Using 1,500 observations of 14 species spanning 4 years, we found that the difference in leaf phenology between native and invasive shrubs can exceed 77 days within a growing season, a gap that decreases with increasing latitude by 2.9 [1.6, 4.2] days per degree latitude in the spring, and 2.2 [0.6,1.9] in the fall. Geographic trends in ELP provide a context for interpreting local scale phenology research while bridging inconsistent findings between existing studies and can streamline management by targeting detection and removal of invasive shrubs with leaves while natives are dormant. Furthermore, even small changes to seasonal phenology can impact forest communities, especially if there is a differential response to climate cues by nativity. After exploring broad-scale environmental variables associated with leaf phenology, we find a similar correlation with pre-growing season warmth for native and invasive shrubs, but a different relationship with dormant chill days – a variable less frequently considered for modeling spring phenology for forest productivity.","language":"English","publisher":"Springer","doi":"10.1007/s10530-020-02326-1","usgsCitation":"Maynard-Bean, E.E., Kaye, M., Wagner, T., and Burkhart, E.P., 2020, Citizen scientists record novel leaf phenology of invasive shrubs in eastern U.S. forests: Biological Invasions, v. 22, p. 3325-3337, https://doi.org/10.1007/s10530-020-02326-1.","productDescription":"13 p.","startPage":"3325","endPage":"3337","ipdsId":"IP-107913","costCenters":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"links":[{"id":467283,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://scholarsphere.psu.edu/resources/0b5b417b-3a25-462a-b360-ebfa44368328","text":"External Repository"},{"id":395548,"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              -95.5810546875,\n              35.137879119634185\n            ],\n            [\n              -71.7626953125,\n              35.137879119634185\n            ],\n            [\n              -71.7626953125,\n              46.5286346952717\n            ],\n            [\n              -95.5810546875,\n              46.5286346952717\n            ],\n            [\n              -95.5810546875,\n              35.137879119634185\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"22","noUsgsAuthors":false,"publicationDate":"2020-08-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Maynard-Bean, Erynn E.","contributorId":274721,"corporation":false,"usgs":false,"family":"Maynard-Bean","given":"Erynn","email":"","middleInitial":"E.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":833259,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kaye, Margot","contributorId":274722,"corporation":false,"usgs":false,"family":"Kaye","given":"Margot","email":"","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":833260,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Tyler 0000-0003-1726-016X twagner@usgs.gov","orcid":"https://orcid.org/0000-0003-1726-016X","contributorId":1050,"corporation":false,"usgs":true,"family":"Wagner","given":"Tyler","email":"twagner@usgs.gov","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":833258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Burkhart, Eric P.","contributorId":274723,"corporation":false,"usgs":false,"family":"Burkhart","given":"Eric","email":"","middleInitial":"P.","affiliations":[{"id":36985,"text":"Penn State University","active":true,"usgs":false}],"preferred":false,"id":833261,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70216432,"text":"70216432 - 2020 - Three-dimensional shape and structure of the Susitna basin, south-central Alaska, from geophysical data","interactions":[],"lastModifiedDate":"2020-11-18T13:35:24.510584","indexId":"70216432","displayToPublicDate":"2020-08-01T07:30:04","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1820,"text":"Geosphere","active":true,"publicationSubtype":{"id":10}},"title":"Three-dimensional shape and structure of the Susitna basin, south-central Alaska, from geophysical data","docAbstract":"<p><span>We use gravity, magnetic, seismic reflection, well, and outcrop data to determine the three-dimensional shape and structural features of south-central Alaska’s Susitna basin. This basin is located within the Aleutian-Alaskan convergent margin region and is expected to show effects of regional subduction zone processes. Aeromagnetic data, when filtered to highlight anomalies associated with sources within the upper few kilometers, show numerous linear northeast-trending highs and some linear north-trending highs. Comparisons to seismic reflection and well data show that these highs correspond to areas where late Paleocene to early Eocene volcanic layers have been locally uplifted due to folding and/or faulting. The combined magnetic and seismic reflection data suggest that the linear highs represent northeast-trending folds and north-striking faults. Several lines of evidence suggest that the northeast-trending folds formed during the middle Eocene to early Miocene and may have continued to be active in the Pliocene. The north-striking faults, which in some areas appear to cut the northeast-trending folds, show evidence of Neogene and probable modern movement. Gravity data facilitate estimates of the shape and depth of the basin. This was accomplished by separating the observed gravity anomaly into two components—one representing low-density sedimentary fill within the basin and one representing density heterogeneities within the underlying crystalline basement. We then used the basin anomaly, seismic reflection data, and well data to estimate the depth of the basin. Together, the magnetic, gravity, and reflection seismic analyses reveal an asymmetric basin comprising sedimentary rock over 4 km thick with steep, fault-bounded sides to the southwest, west, and north and a mostly gentle rise toward the east. Relations to the broader tectonic regime are suggested by fold axis orientations within the Susitna basin and neighboring Cook Inlet basin, which are roughly parallel to the easternmost part of the Alaska-Aleutian trench and associated Wadati-Benioff zone as it trends from northeast to north-northeast to northeast. An alignment between forearc basin folds and the subduction zone trench has been observed at other convergent margins, attributed to strain partitioning generated by regional rheologic variations that are associated with the subducting plate and arc magmatism. The asymmetric shape of the basin, especially its gentle rise to the east, may reflect uplift associated with flat-slab subduction of the Yakutat microplate, consistent with previous work that suggested Yakutat influence on the nearby Talkeetna Mountains and western Alaska Range. Yakutat subduction may also have contributed to Neogene and later reverse slip along north-striking faults within the Susitna basin.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/GES02165.1","usgsCitation":"Shah, A.K., Phillips, J., Lewis, K.A., Stanley, R.G., Haeussler, P., and Potter, C.J., 2020, Three-dimensional shape and structure of the Susitna basin, south-central Alaska, from geophysical data: Geosphere, v. 16, no. 4, p. 969-990, https://doi.org/10.1130/GES02165.1.","productDescription":"22 p.","startPage":"969","endPage":"990","ipdsId":"IP-103718","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":455808,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/ges02165.1","text":"Publisher Index Page"},{"id":380589,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","city":"South Central Alaska","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -154.775390625,\n              57.844750992891\n            ],\n            [\n              -145.634765625,\n              57.844750992891\n            ],\n            [\n              -145.634765625,\n              62.71446210149774\n            ],\n            [\n              -154.775390625,\n              62.71446210149774\n            ],\n            [\n              -154.775390625,\n              57.844750992891\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"16","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-06-05","publicationStatus":"PW","contributors":{"authors":[{"text":"Shah, Anjana K. 0000-0002-3198-081X ashah@usgs.gov","orcid":"https://orcid.org/0000-0002-3198-081X","contributorId":2297,"corporation":false,"usgs":true,"family":"Shah","given":"Anjana","email":"ashah@usgs.gov","middleInitial":"K.","affiliations":[{"id":211,"text":"Crustal 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":805103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Phillips, Jeffrey 0000-0002-6459-2821 jeff@usgs.gov","orcid":"https://orcid.org/0000-0002-6459-2821","contributorId":127453,"corporation":false,"usgs":true,"family":"Phillips","given":"Jeffrey","email":"jeff@usgs.gov","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":805104,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lewis, Kristen A. 0000-0003-4991-3399 klewis@usgs.gov","orcid":"https://orcid.org/0000-0003-4991-3399","contributorId":4120,"corporation":false,"usgs":true,"family":"Lewis","given":"Kristen","email":"klewis@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":805105,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stanley, Richard G. 0000-0001-6192-8783 rstanley@usgs.gov","orcid":"https://orcid.org/0000-0001-6192-8783","contributorId":1832,"corporation":false,"usgs":true,"family":"Stanley","given":"Richard","email":"rstanley@usgs.gov","middleInitial":"G.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":805106,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Haeussler, Peter J. 0000-0002-1503-6247","orcid":"https://orcid.org/0000-0002-1503-6247","contributorId":219956,"corporation":false,"usgs":true,"family":"Haeussler","given":"Peter J.","affiliations":[{"id":119,"text":"Alaska Science Center Geology Minerals","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":805107,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Potter, Christopher J. 0000-0002-2300-6670 cpotter@usgs.gov","orcid":"https://orcid.org/0000-0002-2300-6670","contributorId":1026,"corporation":false,"usgs":true,"family":"Potter","given":"Christopher","email":"cpotter@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":805108,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70212896,"text":"70212896 - 2020 - Genomes reveal genetic diversity of Piscine orthoreovirus in farmed and free-ranging salmonids from Canada and USA","interactions":[],"lastModifiedDate":"2020-10-28T15:59:41.808411","indexId":"70212896","displayToPublicDate":"2020-07-31T18:44:38","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5051,"text":"Virus Evolution","onlineIssn":"2057-1577","active":true,"publicationSubtype":{"id":10}},"title":"Genomes reveal genetic diversity of Piscine orthoreovirus in farmed and free-ranging salmonids from Canada and USA","docAbstract":"<p><span>Piscine orthoreovirus (PRV-1) is a segmented RNA virus which is commonly found in salmonids in the Atlantic and Pacific Oceans. PRV-1 causes the Heart and Skeletal Muscle Inflammation (HSMI) disease in Atlantic salmon and is associated with several other disease conditions. Previous phylogenetic studies of genome segment 1 (S1) identified four main genogroups of PRV-1 (S1 genogroups I – IV). The goal of the present study was to use Bayesian phylogenetic inference to expand our understanding of the spatial, temporal and host patterns of PRV-1 from the waters of the northeast Pacific. To that end, we determined the coding genome sequences of 14 PRV-1 samples that were selected to improve our knowledge of genetic diversity across a broader temporal, geographic and host range, including the first reported genome sequences from the northwest Atlantic (Eastern Canada). Nucleotide and amino acid sequences of the concatenated genomes and their individual segments revealed that established sequences from the northeast Pacific were monophyletic in all analyses. Bayesian inference phylogenetic trees of S1 sequences using BEAST and MrBayes also found that sequences from the northeast Pacific grouped separately from sequences from other areas. One PRV-1 sample (WCAN_BC17_AS_2017) from an escaped Atlantic salmon, collected in British Columbia but derived from Icelandic broodstock, grouped with other S1 sequences from Iceland. Our concatenated genome and S1 analysis demonstrated that PRV-1 from the northeast Pacific is genetically distinct but descended from PRV-1 from the North Atlantic. However, the analyses were inconclusive as to the timing and exact source of introduction into the northeast Pacific, either from eastern North America or European waters of the North Atlantic. There was no evidence that PRV-1 was evolving differently between free-ranging Pacific Salmon and farmed Atlantic Salmon. The northeast Pacific PRV-1 sequences fall within genogroup II based on the classification of Garseth&nbsp;</span><i>et al.</i><span>&nbsp;(2013), which also includes North Atlantic sequences from Eastern Canada, Iceland and Norway. The additional full genome sequences herein strengthen our understanding of phylogeographical patterns related to the northeast Pacific, but a more balanced representation of full PRV-1 genomes from across its range, as well additional sequencing of archived samples, are still needed to better understand global relationships including potential transmission links among regions.</span></p>","language":"English","publisher":"Oxford Academic Journals","doi":"10.1093/ve/veaa054","usgsCitation":"Siah, A., Breyta, B.R., Warheit, K.I., Gagne, N., Purcell, M.K., Morrison, D.B., Powell, J.F., and Johnson, S., 2020, Genomes reveal genetic diversity of Piscine orthoreovirus in farmed and free-ranging salmonids from Canada and USA: Virus Evolution, v. 6, no. 2, veaa054, 15 p., https://doi.org/10.1093/ve/veaa054.","productDescription":"veaa054, 15 p.","ipdsId":"IP-118186","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":455811,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ve/veaa054","text":"Publisher Index Page"},{"id":378077,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Canada, Chile, Norway, United States","otherGeospatial":"Faroe Islands","volume":"6","issue":"2","noUsgsAuthors":false,"publicationDate":"2020-07-31","publicationStatus":"PW","contributors":{"authors":[{"text":"Siah, Ahmed","contributorId":149983,"corporation":false,"usgs":false,"family":"Siah","given":"Ahmed","email":"","affiliations":[{"id":17874,"text":"British Columbia Centre for Aquatic Health Sciences, BC Canada","active":true,"usgs":false}],"preferred":false,"id":797785,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Breyta, B. R.","contributorId":239729,"corporation":false,"usgs":false,"family":"Breyta","given":"B.","email":"","middleInitial":"R.","affiliations":[{"id":47991,"text":"University of Washington, School of Aquatic Fisheries Sciences, Seattle, WA","active":true,"usgs":false}],"preferred":false,"id":797786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Warheit, K. I.","contributorId":239730,"corporation":false,"usgs":false,"family":"Warheit","given":"K.","email":"","middleInitial":"I.","affiliations":[{"id":47993,"text":"Washington Department of Fish and Wildlife, Olympia WA, USA","active":true,"usgs":false}],"preferred":false,"id":797787,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gagne, N","contributorId":239731,"corporation":false,"usgs":false,"family":"Gagne","given":"N","email":"","affiliations":[{"id":47994,"text":"Fisheries & Oceans Canada, Gulf Fisheries Center, Moncton, NB, Canada","active":true,"usgs":false}],"preferred":false,"id":797788,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Purcell, Maureen K. 0000-0003-0154-8433 mpurcell@usgs.gov","orcid":"https://orcid.org/0000-0003-0154-8433","contributorId":168475,"corporation":false,"usgs":true,"family":"Purcell","given":"Maureen","email":"mpurcell@usgs.gov","middleInitial":"K.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":797789,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Morrison, Diane B.","contributorId":149984,"corporation":false,"usgs":false,"family":"Morrison","given":"Diane","email":"","middleInitial":"B.","affiliations":[{"id":17875,"text":"Marine Harvest Canada, Campbell River, BC, Canada","active":true,"usgs":false}],"preferred":false,"id":797790,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Powell, J. 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