{"pageNumber":"606","pageRowStart":"15125","pageSize":"25","recordCount":165309,"records":[{"id":70208695,"text":"fs20193070 - 2020 - Assessment of continuous oil and gas resources in Lower Silurian Shales of the Arabian Peninsula, 2019","interactions":[],"lastModifiedDate":"2020-04-16T11:16:56.461202","indexId":"fs20193070","displayToPublicDate":"2020-04-15T14:00:00","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-3070","displayTitle":"Assessment of Continuous Oil and Gas Resources in Lower Silurian Shales of the Arabian Peninsula, 2019","title":"Assessment of continuous oil and gas resources in Lower Silurian Shales of the Arabian Peninsula, 2019","docAbstract":"

Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 4.6 billion barrels of oil and 561 trillion cubic feet of gas in the Lower Silurian Shale Total Petroleum System of the Arabian Peninsula.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193070","collaboration":"","usgsCitation":"Schenk, C.J., Mercier, T.J., Woodall, C.A., Tennyson, M.E., Finn, T.M., Brownfield, M.E., Marra, K.R., Le, P.A., Drake, R.M., II, and Kinney, S.A., 2020, Assessment of continuous oil and gas resources in lower Silurian shales of the Arabian Peninsula, 2019: U.S. Geological Survey Fact Sheet 2019–3070, 4 p., https://doi.org/10.3133/fs20193070.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-109277","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":373987,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3070/coverthb.jpg"},{"id":373988,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3070/fs20193070.pdf","text":"Report","size":"1.03 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3070"}],"country":"Saudi Arabia, Iraq, Kuwait, Oman, Yemen, Syria, Lebanon, Israel, Jordan","otherGeospatial":"Arabian peninsula ","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 32.08007812499999,\n 31.653381399664\n ],\n [\n 32.87109375,\n 29.99300228455108\n ],\n [\n 36.826171875,\n 24.84656534821976\n ],\n [\n 41.30859375,\n 17.056784609942554\n ],\n [\n 43.154296875,\n 12.897489183755892\n ],\n [\n 54.66796875,\n 16.04581345375217\n ],\n [\n 60.732421875,\n 22.105998799750566\n ],\n [\n 50.80078125,\n 28.998531814051795\n ],\n [\n 43.9453125,\n 35.96022296929667\n ],\n [\n 35.77148437499999,\n 36.38591277287651\n ],\n [\n 32.08007812499999,\n 31.653381399664\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046

","tableOfContents":"","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"publishedDate":"2020-04-15","noUsgsAuthors":false,"publicationDate":"2020-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Schenk, Christopher J. 0000-0002-0248-7305 schenk@usgs.gov","orcid":"https://orcid.org/0000-0002-0248-7305","contributorId":826,"corporation":false,"usgs":true,"family":"Schenk","given":"Christopher","email":"schenk@usgs.gov","middleInitial":"J.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":783038,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":783039,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Woodall, Cheryl A. 0000-0002-4844-5768 cwoodall@usgs.gov","orcid":"https://orcid.org/0000-0002-4844-5768","contributorId":194924,"corporation":false,"usgs":true,"family":"Woodall","given":"Cheryl","email":"cwoodall@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":783040,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tennyson, Marilyn E. 0000-0002-5166-2421 tennyson@usgs.gov","orcid":"https://orcid.org/0000-0002-5166-2421","contributorId":176582,"corporation":false,"usgs":true,"family":"Tennyson","given":"Marilyn","email":"tennyson@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":787035,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Finn, Thomas M. 0000-0001-6396-9351 finn@usgs.gov","orcid":"https://orcid.org/0000-0001-6396-9351","contributorId":778,"corporation":false,"usgs":true,"family":"Finn","given":"Thomas","email":"finn@usgs.gov","middleInitial":"M.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":783042,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":783043,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Marra, Kristen R. 0000-0001-8027-5255 kmarra@usgs.gov","orcid":"https://orcid.org/0000-0001-8027-5255","contributorId":4844,"corporation":false,"usgs":true,"family":"Marra","given":"Kristen","email":"kmarra@usgs.gov","middleInitial":"R.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":783044,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Le, Phuong A. 0000-0003-2477-509X ple@usgs.gov","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":150418,"corporation":false,"usgs":true,"family":"Le","given":"Phuong","email":"ple@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":783045,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Drake, Ronald M. II 0000-0002-1770-4667","orcid":"https://orcid.org/0000-0002-1770-4667","contributorId":206291,"corporation":false,"usgs":true,"family":"Drake","given":"Ronald M.","suffix":"II","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":783046,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Kinney, Scott A. 0000-0001-5008-5813 skinney@usgs.gov","orcid":"https://orcid.org/0000-0001-5008-5813","contributorId":1395,"corporation":false,"usgs":true,"family":"Kinney","given":"Scott","email":"skinney@usgs.gov","middleInitial":"A.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":783047,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70228649,"text":"70228649 - 2020 - Mercury, cadmium, copper, arsenic, and selenium measurements in the feathers of adult eastern brown pelicans (Pelecanus occidentalis carolinensis) and chicks in multiple breeding grounds in the northern Gulf of Mexico","interactions":[],"lastModifiedDate":"2022-02-16T19:06:33.696494","indexId":"70228649","displayToPublicDate":"2020-04-15T12:52:55","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Mercury, cadmium, copper, arsenic, and selenium measurements in the feathers of adult eastern brown pelicans (Pelecanus occidentalis carolinensis ) and chicks in multiple breeding grounds in the northern Gulf of Mexico","title":"Mercury, cadmium, copper, arsenic, and selenium measurements in the feathers of adult eastern brown pelicans (Pelecanus occidentalis carolinensis) and chicks in multiple breeding grounds in the northern Gulf of Mexico","docAbstract":"

The amounts of trace metals and metalloids that have been introduced into aquatic ecosystems due to anthropogenic activities have increased in recent decades. Some of these elements like mercury are easily transferred from one trophic level to another and can accumulate to toxic quantities in organisms at the top of aquatic food webs. For this reason, seabirds like the Eastern brown pelican (Pelecanus occidentalis carolinensis) are susceptible to heavy metal and metalloid toxicity and may warrant periodic monitoring. Mercury, cadmium, copper, arsenic and selenium were measured in the feathers of adult brown pelicans and chicks in several breeding colonies (Shamrock Island, Chester Island, Marker 52 Island, North Deer Island, Raccoon Island, Felicity Island, Gaillard Island, Audubon Island, and Ten Palms Island) in the Northern Gulf of Mexico. Overall, most chicks and adults examined had mercury levels in feathers that were below the concentration range in which birds show symptoms of mercury toxicity. However, chicks in the Audubon Island and Ten Palms Island colonies displayed mercury levels that were 3 times higher than values observed in 5 other colonies. In addition, several adults and chicks displayed selenium concentrations that are above what is considered safe for birds. Cadmium quantities in feathers were below levels that trigger toxicity in birds. Similarly, arsenic measurements were at quantities below the average of what has been reported for birds living in contaminated sites. Finally, we identify pelican breeding colonies that may warrant monitoring due to elevated levels of contaminants.

","language":"English","publisher":"Springer","doi":"10.1007/s10661-020-8237-y","usgsCitation":"Ndu, U., Lamb, J., Janssen, S., Rossi, R., Satgé, Y., and Jodice, P.G., 2020, Mercury, cadmium, copper, arsenic, and selenium measurements in the feathers of adult eastern brown pelicans (Pelecanus occidentalis carolinensis) and chicks in multiple breeding grounds in the northern Gulf of Mexico: Environmental Monitoring and Assessment, v. 192, 286, 9 p., https://doi.org/10.1007/s10661-020-8237-y.","productDescription":"286, 9 p.","ipdsId":"IP-113634","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":396027,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Florida, Louisiana,Texas","otherGeospatial":"Audubon Island, Chester Island, Felicity Island, Gaillard Island, Marker 52 Island, North Deer Island, Racoon Island,, Shamrock Island,Ten Palms Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.49218749999999,\n 23.483400654325642\n ],\n [\n -84.814453125,\n 23.483400654325642\n ],\n [\n -84.814453125,\n 30.675715404167743\n ],\n [\n -99.49218749999999,\n 30.675715404167743\n ],\n [\n -99.49218749999999,\n 23.483400654325642\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"192","noUsgsAuthors":false,"publicationDate":"2020-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Ndu, U.","contributorId":279402,"corporation":false,"usgs":false,"family":"Ndu","given":"U.","email":"","affiliations":[{"id":6747,"text":"Texas A&M University","active":true,"usgs":false}],"preferred":false,"id":834926,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lamb, J. S.","contributorId":270975,"corporation":false,"usgs":false,"family":"Lamb","given":"J. S.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":834927,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Janssen, Sarah E. 0000-0003-4432-3154","orcid":"https://orcid.org/0000-0003-4432-3154","contributorId":210991,"corporation":false,"usgs":true,"family":"Janssen","given":"Sarah E.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true},{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":834928,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rossi, R.","contributorId":279403,"corporation":false,"usgs":false,"family":"Rossi","given":"R.","email":"","affiliations":[{"id":57254,"text":"Texas A & M Unversity","active":true,"usgs":false}],"preferred":false,"id":834929,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Satgé, Y. G.","contributorId":265430,"corporation":false,"usgs":false,"family":"Satgé","given":"Y. G.","affiliations":[{"id":7084,"text":"Clemson University","active":true,"usgs":false}],"preferred":false,"id":834930,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":219852,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834931,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70209108,"text":"sir20205029 - 2020 - Benthic vertical hydraulic gradients in Upper Klamath Lake, Oregon, 2017","interactions":[],"lastModifiedDate":"2020-04-16T11:32:36.564056","indexId":"sir20205029","displayToPublicDate":"2020-04-15T12:29:12","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":"2020-5029","displayTitle":"Benthic Vertical Hydraulic Gradients in Upper Klamath Lake, Oregon, 2017","title":"Benthic vertical hydraulic gradients in Upper Klamath Lake, Oregon, 2017","docAbstract":"

Groundwater piezometers and lake stilling wells were deployed as paired sets at 10 locations in Upper Klamath Lake in south-central Oregon from May to October 2017 to measure hydraulic heads in and beneath the lake. Continuous water-level data from piezometers and stilling wells were then used to calculate the vertical hydraulic gradient (VHG) across the sediment-water interface to determine the direction and relative magnitude of the movement of water between the lake and underlying sediments. Over the study period, heads in lake-bed sediments closely tracked lake levels, both decreasing from spring into autumn. Instantaneous VHG was highly dynamic at all sites and exhibited high-frequency (less than 1 day to less than 1 hour) variations in magnitude and direction. Instantaneous and weekly mean VHG values often exceeded, but were commonly within, the range of measurement uncertainty (VHG less than +0.009 foot per foot [ft/ft] and greater than -0.009 ft/ft). 63 percent of instantaneous VHG values and 66 percent of weekly mean VHG values were within this range. Study period mean VHG was within measurement uncertainty at seven of the nine sites that had continuous water-level data, but two littoral sites (LC03 and LS01) had positive (upward) values greater than measurement uncertainty and are likely locations of vertical groundwater seepage. Data collected in this study provide new information about the hydraulic conditions at the sediment-water interface in UKL and demonstrate that sediment-groundwater exchange in UKL is spatially and temporally heterogeneous.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205029","collaboration":"","usgsCitation":"Corson-Dosch, N.T., 2020, Benthic vertical hydraulic gradients in Upper Klamath Lake, Oregon, 2017: U.S. Geological Survey Scientific Investigations Report 2020–5029, 22 p., https://doi.org/10.3133/sir20205029.","productDescription":"Report: v, 22 p.; Data Release","onlineOnly":"Y","ipdsId":"IP-102002","costCenters":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"links":[{"id":374017,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7668CGD","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Depth-to-water data and calculated vertical hydraulic gradient at the sediment-water interface in Upper Klamath Lake, Oregon, 2017"},{"id":374016,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5029/sir20205029.pdf","text":"Report","size":"2.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5029"},{"id":374015,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5029/coverthb.jpg"}],"country":"United States","state":"Oregon","otherGeospatial":"Upper Klamath Lake","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.08694458007812,\n 42.218347726793304\n ],\n [\n -121.77246093750001,\n 42.218347726793304\n ],\n [\n -121.77246093750001,\n 42.61273829368574\n ],\n [\n -122.08694458007812,\n 42.61273829368574\n ],\n [\n -122.08694458007812,\n 42.218347726793304\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Oregon Water Science Center
U.S. Geological Survey
2130 SW 5th Avenue
Portland, Oregon 97201

","tableOfContents":"","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"publishedDate":"2020-04-15","noUsgsAuthors":false,"publicationDate":"2020-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Corson-Dosch, Nicholas 0000-0002-6776-6241","orcid":"https://orcid.org/0000-0002-6776-6241","contributorId":202630,"corporation":false,"usgs":true,"family":"Corson-Dosch","given":"Nicholas","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784957,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70228128,"text":"70228128 - 2020 - Gastric mill age estimates for ringed crayfish Faxonius neglectus neglectus (Faxon) and the influence of temperature on band formation","interactions":[],"lastModifiedDate":"2022-02-04T17:25:33.710597","indexId":"70228128","displayToPublicDate":"2020-04-15T11:11:54","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5290,"text":"Freshwater Crayfish","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Gastric mill age estimates for ringed crayfish Faxonius neglectus neglectus (Faxon) and the influence of temperature on band formation","title":"Gastric mill age estimates for ringed crayfish Faxonius neglectus neglectus (Faxon) and the influence of temperature on band formation","docAbstract":"

Counting bands via the gastric mill is a potential direct approach for ageing crayfish; however, the validity of ageing crustaceans using the gastric mill is unknown. Our study objectives were to 1) compare gastric mill age estimates to a traditional aging technique, 2) compare ageing precision among the ossicles, and 3) examine the effects of temperature on gastric mill band formation. From 2017–2018, we collected 681 ringed crayfish Faxonius neglectus neglectus (Faxon) from ten Ozark Highland streams. Our length-frequency analysis reflected seven age classes, whereas gastric mill age estimates indicated individuals were up to 10 yr of age. The length-frequency analysis age estimates showed good congruence (± 1 yr) with age estimates from the gastric mill 78% of the time. The coefficient of variation (CV) of age estimates from gastric mill bands between our readers was 29.7%. Ageing precision was highest when using the zygocardiac ossicles (CV = 12.4%). Gastric mill age estimates for known age-1 crayfish from a thermally stable laboratory were not significantly different from one, whereas age estimates from a thermally varying laboratory were greater than one. Our results indicate molting frequency does not control gastric mill band formation, and temperature plays a role in band formation.

","language":"English","publisher":"International Association of Astacology","doi":"10.5869/fc.2020.v25-1.059","usgsCitation":"Brewer, S.K., Mouser, J.B., and Glover, J., 2020, Gastric mill age estimates for ringed crayfish Faxonius neglectus neglectus (Faxon) and the influence of temperature on band formation: Freshwater Crayfish, v. 25, no. 1, p. 59-67, https://doi.org/10.5869/fc.2020.v25-1.059.","productDescription":"9 p.","startPage":"59","endPage":"67","ipdsId":"IP-102948","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395449,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arkansas, Missouri, Oklahoma","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.71411132812499,\n 39.04478604850143\n ],\n [\n -93.284912109375,\n 39.04478604850143\n ],\n [\n -96.712646484375,\n 35.34425514918409\n ],\n [\n -90.889892578125,\n 35.44277092585766\n ],\n [\n -89.417724609375,\n 37.23907530202184\n ],\n [\n -89.483642578125,\n 37.35269280367274\n ],\n [\n -89.417724609375,\n 37.43997405227057\n ],\n [\n -89.483642578125,\n 37.735969208590504\n ],\n [\n -90.362548828125,\n 38.212288054388175\n ],\n [\n -90.098876953125,\n 38.87392853923629\n ],\n [\n -90.450439453125,\n 38.98503278695909\n ],\n [\n -90.604248046875,\n 38.89103282648846\n ],\n [\n -90.71411132812499,\n 39.04478604850143\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"1","noUsgsAuthors":false,"publicationDate":"2020-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Brewer, Shannon K. 0000-0002-1537-3921 skbrewer@usgs.gov","orcid":"https://orcid.org/0000-0002-1537-3921","contributorId":2252,"corporation":false,"usgs":true,"family":"Brewer","given":"Shannon","email":"skbrewer@usgs.gov","middleInitial":"K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":833184,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mouser, Joshua B.","contributorId":205087,"corporation":false,"usgs":false,"family":"Mouser","given":"Joshua","email":"","middleInitial":"B.","affiliations":[{"id":37027,"text":"Oklahoma Cooperative Fish and Wildlife Research Unit, Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":833182,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Glover, Jason","contributorId":274645,"corporation":false,"usgs":false,"family":"Glover","given":"Jason","email":"","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":833183,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70209239,"text":"pp1842EE - 2020 - The effects of management practices on grassland birds—Lark Bunting (Calamospiza melanocorys)","interactions":[{"subject":{"id":70209239,"text":"pp1842EE - 2020 - The effects of management practices on grassland birds—Lark Bunting (Calamospiza melanocorys)","indexId":"pp1842EE","publicationYear":"2020","noYear":false,"chapter":"EE","displayTitle":"The Effects of Management Practices on Grassland Birds—Lark Bunting (Calamospiza melanocorys)","title":"The effects of management practices on grassland birds—Lark Bunting (Calamospiza melanocorys)"},"predicate":"IS_PART_OF","object":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"id":1}],"isPartOf":{"id":70203022,"text":"pp1842 - 2019 - The effects of management practices on grassland birds","indexId":"pp1842","publicationYear":"2019","noYear":false,"title":"The effects of management practices on grassland birds"},"lastModifiedDate":"2023-12-20T20:57:31.759751","indexId":"pp1842EE","displayToPublicDate":"2020-04-15T10:13:02","publicationYear":"2020","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1842","chapter":"EE","displayTitle":"The Effects of Management Practices on Grassland Birds—Lark Bunting (Calamospiza melanocorys)","title":"The effects of management practices on grassland birds—Lark Bunting (Calamospiza melanocorys)","docAbstract":"

Keys to Lark Bunting (Calamospiza melanocorys) management include providing short vegetation with protective nest cover and tailoring grazing systems to the type of grassland. Lark Buntings have been reported to use habitats with 6–72 centimeter (cm) average vegetation height, 2–11 cm visual obstruction reading, 13–71 percent grass cover, less than or equal to (≤) 48 percent forb cover, ≤17 percent shrub cover, 10–57 percent bare ground cover, 25 percent litter cover, and ≤2 cm litter depth.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1842EE","usgsCitation":"Shaffer, J.A., Igl, L.D., Johnson, D.H., Sondreal, M.L., Goldade, C.M., Zimmerman, A.L., and Euliss, B.R., 2020, The effects of management practices on grassland birds—Lark Bunting (Calamospiza melanocorys), chap. EE of Johnson, D.H., Igl, L.D., Shaffer, J.A., and DeLong, J.P., eds., The effects of management practices on grassland birds: U.S. Geological Survey Professional Paper 1842, 16 p., https://doi.org/10.3133/pp1842EE.","productDescription":"iv, 16 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-096466","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":373958,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/pp/1842/ee/pp1842ee.pdf","text":"Report","size":"2.23 MB","linkFileType":{"id":1,"text":"pdf"},"description":"PP 1842–EE"},{"id":373957,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/pp/1842/ee/coverthb.jpg"}],"contact":"

Director, Northern Prairie Wildlife Research Center
U.S. Geological Survey
8711 37th Street Southeast
Jamestown, ND 58401

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-04-15","noUsgsAuthors":false,"publicationDate":"2020-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Shaffer, Jill A. 0000-0003-3172-0708 jshaffer@usgs.gov","orcid":"https://orcid.org/0000-0003-3172-0708","contributorId":3184,"corporation":false,"usgs":true,"family":"Shaffer","given":"Jill","email":"jshaffer@usgs.gov","middleInitial":"A.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":785511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Igl, Lawrence D. 0000-0003-0530-7266 ligl@usgs.gov","orcid":"https://orcid.org/0000-0003-0530-7266","contributorId":2381,"corporation":false,"usgs":true,"family":"Igl","given":"Lawrence","email":"ligl@usgs.gov","middleInitial":"D.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":785510,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Douglas H. 0000-0002-7778-6641 douglas_h_johnson@usgs.gov","orcid":"https://orcid.org/0000-0002-7778-6641","contributorId":1387,"corporation":false,"usgs":true,"family":"Johnson","given":"Douglas","email":"douglas_h_johnson@usgs.gov","middleInitial":"H.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":785512,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sondreal, Marriah L.","contributorId":215631,"corporation":false,"usgs":false,"family":"Sondreal","given":"Marriah","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":785513,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Goldade, Christopher M.","contributorId":215632,"corporation":false,"usgs":false,"family":"Goldade","given":"Christopher","email":"","middleInitial":"M.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":785514,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Zimmerman, Amy L.","contributorId":217210,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Amy","email":"","middleInitial":"L.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":785515,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Euliss, Betty R.","contributorId":58218,"corporation":false,"usgs":true,"family":"Euliss","given":"Betty R.","affiliations":[{"id":39297,"text":"former U.S. Geological Survey employee","active":true,"usgs":false}],"preferred":false,"id":786996,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70211574,"text":"70211574 - 2020 - Tree-ring evidence of forest management moderating drought responses: Implications for dry, coniferous forests in the southwestern United States","interactions":[],"lastModifiedDate":"2020-07-31T14:41:18.995751","indexId":"70211574","displayToPublicDate":"2020-04-15T09:31:09","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5860,"text":"Frontiers in Forests and Global Change","active":true,"publicationSubtype":{"id":10}},"title":"Tree-ring evidence of forest management moderating drought responses: Implications for dry, coniferous forests in the southwestern United States","docAbstract":"

Drought, coupled with rising temperatures, is an emerging threat to many forest types across the globe. At least to a degree, we expect management actions that reduce competition (e.g., thinning, prescribed fire, or both) to improve growth of residual trees during drought. The influences of management actions and drought on individual tree growth may be measured with high precision using tree-rings. Here, we summarize tree-ring-based assessments of the effectiveness of thinning and prescribed fire as drought adaptation tools, with special consideration for how these findings might apply to dry coniferous forests in the southwestern United States. The existing literature suggests that thinning treatments generally improve individual tree growth responses to drought, though the literature specific to southwestern coniferous forests is sparse. Assessments from studies beyond the southwestern United States indicate treatment effectiveness varies by thinning intensity, timing of the drought relative to treatments, and individualistic species responses. Several large-scale studies appear to conflict on specifics of how site aridity influences sensitivity to drought following thinning. Prescribed fire effects in the absence of thinning has received much less attention in terms of subsequent drought response. There are limitations for using tree-ring data to estimate drought responses (e.g., difficulties scaling up observations to stand- and landscape-levels). However, tree-rings describe an important dimension of drought effects for individual trees, and when coupled with additional information, such as stable isotopes, aid our understanding of key physiological mechanisms that underlie forest drought response.

","language":"English","publisher":"Frontiers","doi":"10.3389/ffgc.2020.00041","usgsCitation":"van Mantgem, P., Kerhoulas, L., Sherriff, R.L., and Wenderott, Z.J., 2020, Tree-ring evidence of forest management moderating drought responses: Implications for dry, coniferous forests in the southwestern United States: Frontiers in Forests and Global Change, v. 3, 41, 7 p., https://doi.org/10.3389/ffgc.2020.00041.","productDescription":"41, 7 p.","ipdsId":"IP-114937","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":457070,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/ffgc.2020.00041","text":"Publisher Index Page"},{"id":376947,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Arizona, California, New Mexico, Nevada, Utah","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.9638671875,\n 32.13840869677249\n ],\n [\n -102.9638671875,\n 37.020098201368114\n ],\n [\n -109.2041015625,\n 37.09023980307208\n ],\n [\n -109.16015624999999,\n 41.21172151054787\n ],\n [\n -111.0498046875,\n 41.04621681452063\n ],\n [\n -111.1376953125,\n 42.00032514831621\n ],\n [\n -124.1455078125,\n 42.13082130188811\n ],\n [\n -124.76074218749999,\n 40.58058466412761\n ],\n [\n -123.662109375,\n 37.71859032558816\n ],\n [\n -120.89355468749999,\n 34.379712580462204\n ],\n [\n -117.20214843749999,\n 32.58384932565662\n ],\n [\n -114.78515624999999,\n 32.731840896865684\n ],\n [\n -111.0498046875,\n 31.316101383495624\n ],\n [\n -108.10546875,\n 31.240985378021307\n ],\n [\n -108.10546875,\n 31.840232667909365\n ],\n [\n -105.8203125,\n 31.840232667909365\n ],\n [\n -105.732421875,\n 32.21280106801518\n ],\n [\n -102.9638671875,\n 32.13840869677249\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"3","noUsgsAuthors":false,"publicationDate":"2020-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"van Mantgem, Phillip J. 0000-0002-3068-9422","orcid":"https://orcid.org/0000-0002-3068-9422","contributorId":204320,"corporation":false,"usgs":true,"family":"van Mantgem","given":"Phillip J.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":794668,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kerhoulas, Lucy P","contributorId":236908,"corporation":false,"usgs":false,"family":"Kerhoulas","given":"Lucy P","affiliations":[{"id":47564,"text":"Humboldt State University, Department of Forestry and Wildland Resources, Arcata, CA, USA","active":true,"usgs":false}],"preferred":false,"id":794669,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sherriff, Rosemary L.","contributorId":204199,"corporation":false,"usgs":false,"family":"Sherriff","given":"Rosemary","email":"","middleInitial":"L.","affiliations":[{"id":7067,"text":"Humboldt State University","active":true,"usgs":false}],"preferred":false,"id":794670,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Wenderott, Zachary James 0000-0002-4669-770X","orcid":"https://orcid.org/0000-0002-4669-770X","contributorId":236909,"corporation":false,"usgs":true,"family":"Wenderott","given":"Zachary","email":"","middleInitial":"James","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":794671,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70211055,"text":"70211055 - 2020 - Assessing mercury distribution using isotopic fractionation of mercury processes and sources adjacent and downstream of a legacy mine district in Tuscany, Italy","interactions":[],"lastModifiedDate":"2020-07-13T14:00:32.141118","indexId":"70211055","displayToPublicDate":"2020-04-15T08:53:27","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":835,"text":"Applied Geochemistry","active":true,"publicationSubtype":{"id":10}},"title":"Assessing mercury distribution using isotopic fractionation of mercury processes and sources adjacent and downstream of a legacy mine district in Tuscany, Italy","docAbstract":"Mercury (Hg) concentrations and isotopic compositions in a range of sample types collected from the legacy Abbadia San Salvatore Mine (ASSM) area were used to evaluate the distribution of Hg in the region. The district generated more than 100,000 metric tons of Hg releasing extensive amounts of gaseous Hg emissions and producing large amounts of mine waste calcine from which Hg can be mobilized into the local and regional environments. Direct and indirect impact from cinnabar ore mining and processing resulted in elevated Hg concentrations in the calcine, soils, lake and stream sediments, and fish samples collected at and downstream of ASSM. The contribution of Hg from the different sources and processes resulted in a wide range of 202Hg and 199Hg isotopic compositions (-2.25 to 0.96‰, -0.12 to 0.72‰ respectively). Fish samples resulted in negative values for 202Hg (-0.53 to -1.21‰) and positive Hg (0.12 to 0.73‰). Primary cinnabar ore and present-day geothermal water and precipitate showed distinctly negative 202Hg (-0.96 to -2.25‰), whereas waste calcine were enriched in 202Hg (202Hg from about -1 to +1‰); soils and sediments show intermediate compositions, reflecting different extents of contributions from the various Hg sources and processes. These sources and processes of Hg include weathering cinnabar, gaseous Hg emissions from ore processing, and geothermal activity to a lesser extent. Hg speciation in concert with Hg isotope ratios can better ascertain source attribution and assist in identifying Hg pathways into the environment to distinguish the more bioavailable forms of Hg entering the ecosystem.","language":"English","publisher":"Elsevier","doi":"10.1016/j.apgeochem.2020.104600","usgsCitation":"Pribil, M., Rimondi, V., Costagliola, P., Lattanzi, P., and Rutherford, D., 2020, Assessing mercury distribution using isotopic fractionation of mercury processes and sources adjacent and downstream of a legacy mine district in Tuscany, Italy: Applied Geochemistry, v. 117, 104600, 9 p., https://doi.org/10.1016/j.apgeochem.2020.104600.","productDescription":"104600, 9 p.","ipdsId":"IP-112520","costCenters":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":457073,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.apgeochem.2020.104600","text":"Publisher Index Page"},{"id":376305,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Italy","otherGeospatial":"Tuscany","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 9.68994140625,\n 42.827638636242284\n ],\n [\n 12.2772216796875,\n 42.827638636242284\n ],\n [\n 12.2772216796875,\n 44.34349388385857\n ],\n [\n 9.68994140625,\n 44.34349388385857\n ],\n [\n 9.68994140625,\n 42.827638636242284\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"117","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Pribil, Michael J. 0000-0003-4859-8673 mpribil@usgs.gov","orcid":"https://orcid.org/0000-0003-4859-8673","contributorId":141158,"corporation":false,"usgs":true,"family":"Pribil","given":"Michael","email":"mpribil@usgs.gov","middleInitial":"J.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":792614,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rimondi, Valentina","contributorId":228965,"corporation":false,"usgs":false,"family":"Rimondi","given":"Valentina","affiliations":[{"id":26894,"text":"University of Florence, Italy","active":true,"usgs":false}],"preferred":false,"id":792615,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Costagliola, Pilario","contributorId":228966,"corporation":false,"usgs":false,"family":"Costagliola","given":"Pilario","affiliations":[{"id":26894,"text":"University of Florence, Italy","active":true,"usgs":false}],"preferred":false,"id":792616,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lattanzi, Pierfranco","contributorId":228967,"corporation":false,"usgs":false,"family":"Lattanzi","given":"Pierfranco","affiliations":[{"id":26894,"text":"University of Florence, Italy","active":true,"usgs":false}],"preferred":false,"id":792617,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Rutherford, Danny 0000-0003-1013-8006","orcid":"https://orcid.org/0000-0003-1013-8006","contributorId":201857,"corporation":false,"usgs":true,"family":"Rutherford","given":"Danny","email":"","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":792618,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70227129,"text":"70227129 - 2020 - Methods for rapidly estimating velocity precision from GNSS time series in the presence of temporal correlation: A new method and comparison of existing methods","interactions":[],"lastModifiedDate":"2022-01-03T15:57:57.793919","indexId":"70227129","displayToPublicDate":"2020-04-15T08:04:06","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2312,"text":"Journal of Geophysical Research","active":true,"publicationSubtype":{"id":10}},"title":"Methods for rapidly estimating velocity precision from GNSS time series in the presence of temporal correlation: A new method and comparison of existing methods","docAbstract":"

Time series of position estimates from Global Navigational Satellite System (GNSS) are used to measure the velocities of points on the surface of the Earth. Along with the velocity estimates, a measure of the precision is needed to assess the quality of the velocity measurement. Here, I evaluate rate uncertainties provided by four different methods that have been applied to geodetic time series. The most rigorous approach uses a data covariance that incorporates a variety of noise processes relevant to geodetic time series but is computationally demanding. Two other approaches are efficient algorithms and are used widely, but both can provide less rigorous estimates of the rate uncertainty. I propose and evaluate a fourth method, which provides estimates of rate uncertainty closer to the rigorous approach but is significantly less computationally demanding. I have evaluated all three methods against the more rigorous method using both simulations and time series from 190 GNSS sites. For data best characterized as having a flicker type noise process, one of the widely used methods overestimates the uncertainty by up to a factor of 2, while the other widely used method underestimates the uncertainty by less than a factor of 2. For a random-walk process, both methods underestimate the rate uncertainty by a factor of 3 to 5.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JB019132","usgsCitation":"Langbein, J., 2020, Methods for rapidly estimating velocity precision from GNSS time series in the presence of temporal correlation: A new method and comparison of existing methods: Journal of Geophysical Research, v. 125, no. 7, p. 1-16, https://doi.org/10.1029/2019JB019132.","productDescription":"e2019JB019132, 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-112015","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":457077,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2019jb019132","text":"Publisher Index Page"},{"id":393644,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"125","issue":"7","noUsgsAuthors":false,"publicationDate":"2020-07-11","publicationStatus":"PW","contributors":{"authors":[{"text":"Langbein, John 0000-0002-7821-8101","orcid":"https://orcid.org/0000-0002-7821-8101","contributorId":212735,"corporation":false,"usgs":true,"family":"Langbein","given":"John","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":829747,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70209619,"text":"70209619 - 2020 - Brightness of the night sky affects loggerhead (Caretta caretta) sea turtle hatchling misorientation but not nest site selection","interactions":[],"lastModifiedDate":"2020-04-16T12:46:40.236732","indexId":"70209619","displayToPublicDate":"2020-04-15T07:43:07","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3912,"text":"Frontiers in Marine Science","onlineIssn":"2296-7745","active":true,"publicationSubtype":{"id":10}},"title":"Brightness of the night sky affects loggerhead (Caretta caretta) sea turtle hatchling misorientation but not nest site selection","docAbstract":"Sea turtles in the Gulf of Mexico, which are listed as either threatened or endangered under the US Endangered Species Act, face numerous threats from many sources but are particularly susceptible to the effects of light pollution on nesting beaches. Light pollution affects the distribution, density, and placement of nests on beaches, and disrupts seafinding in hatchlings emerging from nests – often leading to their death. Rapid urban growth near Gulf Islands National Seashore (GUIS) over the last century has contributed to increased light pollution on its beaches, and there is concern that light pollution is causing females to lay nests in at-risk locations subject to erosion and flooding and is causing the observed high rates of hatchling misorientation. In this study our objectives were to measure brightness of the nighttime sky (and other variables) at GUIS at loggerhead (Caretta caretta) nests at the time of laying and hatching, and to assess the effects of brightness on the laying of at-risk nests and hatchling misorientation. In addition, we quantified the effects of relocating at-risk nests on nesting success. We found that the contrast in brightness between the landward and seaward directions at GUIS is at least partially responsible for high rates of hatchling misorientation, and we found a strong moderating influence of lunar fraction and lunar altitude on hatchling misorientation (larger lunar fractions and lower lunar altitudes reduced misorientation). We were unable to document any effects of artificial light, lunar fraction, or horizon altitude on the propensity of loggerheads to lay nests in at risk locations; and we found no evidence that relocating nests at GUIS reduced loggerhead nesting success. Rather, we found nesting success and hatchling misorientation rates were improved for relocated loggerhead nests.","language":"English","publisher":"Frontiers ","doi":"10.3389/fmars.2020.00221","collaboration":"","usgsCitation":"Stanley, T., White, J., Teel, S., and Nicholas, M., 2020, Brightness of the night sky affects loggerhead (Caretta caretta) sea turtle hatchling misorientation but not nest site selection: Frontiers in Marine Science, v. 7, no. 221, https://doi.org/10.3389/fmars.2020.00221.","productDescription":"12 p.","startPage":"","ipdsId":"IP-111456","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":457079,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3389/fmars.2020.00221","text":"Publisher Index Page"},{"id":374049,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Gulf Islands National Seashore","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.15471267700195,\n 30.357175180306402\n ],\n [\n -87.1351432800293,\n 30.360433879760766\n ],\n [\n -87.11797714233398,\n 30.366506620871316\n ],\n [\n -87.12106704711914,\n 30.38176086774858\n ],\n [\n -87.13651657104492,\n 30.379243340530238\n ],\n [\n -87.14235305786133,\n 30.371097955265583\n ],\n [\n -87.15866088867188,\n 30.369172583218823\n ],\n [\n -87.15471267700195,\n 30.357175180306402\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"221","noUsgsAuthors":false,"publicationDate":"2020-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Stanley, Thomas 0000-0002-8393-0005","orcid":"https://orcid.org/0000-0002-8393-0005","contributorId":210435,"corporation":false,"usgs":true,"family":"Stanley","given":"Thomas","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":787193,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"White, Jeremy","contributorId":202363,"corporation":false,"usgs":false,"family":"White","given":"Jeremy","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":787194,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Teel, Susan","contributorId":202361,"corporation":false,"usgs":false,"family":"Teel","given":"Susan","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":787195,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nicholas, Mark","contributorId":202362,"corporation":false,"usgs":false,"family":"Nicholas","given":"Mark","email":"","affiliations":[{"id":36189,"text":"National Park Service","active":true,"usgs":false}],"preferred":false,"id":787196,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209180,"text":"ofr20201031 - 2020 - Characterization of water-quality and bed-sediment conditions in Currituck Sound, North Carolina, prior to the Mid-Currituck Bridge construction, 2011–18","interactions":[{"subject":{"id":70160099,"text":"ofr20151208 - 2016 - Characterization of water-quality and bed-sediment conditions in Currituck Sound, North Carolina, prior to the Mid-Currituck Bridge construction, 2011–15","indexId":"ofr20151208","publicationYear":"2016","noYear":false,"title":"Characterization of water-quality and bed-sediment conditions in Currituck Sound, North Carolina, prior to the Mid-Currituck Bridge construction, 2011–15"},"predicate":"SUPERSEDED_BY","object":{"id":70209180,"text":"ofr20201031 - 2020 - Characterization of water-quality and bed-sediment conditions in Currituck Sound, North Carolina, prior to the Mid-Currituck Bridge construction, 2011–18","indexId":"ofr20201031","publicationYear":"2020","noYear":false,"title":"Characterization of water-quality and bed-sediment conditions in Currituck Sound, North Carolina, prior to the Mid-Currituck Bridge construction, 2011–18"},"id":1}],"lastModifiedDate":"2020-04-15T13:51:09.314044","indexId":"ofr20201031","displayToPublicDate":"2020-04-15T07:35:00","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":"2020-1031","displayTitle":"Characterization of Water-Quality and Bed-Sediment Conditions in Currituck Sound, North Carolina, Prior to the Mid-Currituck Bridge Construction, 2011–18","title":"Characterization of water-quality and bed-sediment conditions in Currituck Sound, North Carolina, prior to the Mid-Currituck Bridge construction, 2011–18","docAbstract":"

The North Carolina Turnpike Authority plans to improve transportation in the Currituck Sound area by constructing a two-lane bridge—the Mid-Currituck Bridge—across Currituck Sound from the mainland to the Outer Banks, North Carolina. The results of the final environmental impact statement for the project indicate potential water-quality and habitat effects for Currituck Sound associated with the bridge and roadway improvements.

The primary objective of this study is to characterize water-quality conditions and bed-sediment chemistry in the vicinity of the planned Mid-Currituck Bridge, providing a baseline for evaluating the potential effects of bridge construction and bridge deck runoff on environmental conditions in Currituck Sound. From August 2011 through January 2018, water-quality and bed-sediment samples were collected from five sampling stations along the planned bridge alignment. Samples were analyzed for numerous characteristics, including physical properties and constituents that are associated with bridge deck stormwater runoff and are important to estuarine waters. The analyzed characteristics included dissolved oxygen, pH, specific conductance, turbidity, suspended solids, metals, nutrients, semi-volatile organic compounds, bacteria, chlorophyll a, cyanotoxins, and phytoplankton abundance. The most common constituents with concentrations above applicable State and Federal water-quality thresholds included chlorophyll a, pH, turbidity, Enterococci, and pentachlorophenol. Few bed-sediment samples had constituent concentrations that exceeded applicable sediment-quality guidelines.

Results indicated that water sampled along the planned bridge alignment was well mixed vertically and horizontally but varied temporally. Seasonal changes in water quality best explained the variations in water-quality conditions in Currituck Sound during the study. Wind conditions also influenced water levels and water-quality conditions. Turbidity and concentrations of particle-associated constituents tended to be higher when water levels were lower, possibly reflecting the increased resuspension of bottom materials from wind-driven wave action.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201031","collaboration":"Prepared in cooperation with the North Carolina Turnpike Authority","usgsCitation":"Harden, S.L., Fitzgerald, S.A., Wagner, C.R., Bristow, E.L., Loftin, K.A., and Rosen, B.H., 2020, Characterization of water-quality and bed-sediment conditions in Currituck Sound, North Carolina, prior to the Mid-Currituck Bridge construction, 2011–18: U.S. Geological Survey Open-File Report 2020–1031, 67 p., https://doi.org/10.3133/ofr20201031. [Supersedes USGS Open-File Report 2015–1208.]","productDescription":"Report: x, 67 p.; Data Release","numberOfPages":"81","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-110192","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":373923,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1031/ofr20201031.pdf","text":"Report","size":"2.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1031"},{"id":373922,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1031/coverthb2.jpg"},{"id":373924,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9XBVLPV","text":"USGS data release","linkFileType":{"id":5,"text":"html"},"description":"","linkHelpText":"Datasets for Characterization of Water-Quality and Bed-Sediment Conditions in Currituck Sound, North Carolina, 2011-18"}],"country":"United States","state":"North Carolina","otherGeospatial":"Currituck Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.09405517578125,\n 36.29963177650553\n ],\n [\n -75.77545166015625,\n 36.29963177650553\n ],\n [\n -75.77545166015625,\n 36.551568887374\n ],\n [\n -76.09405517578125,\n 36.551568887374\n ],\n [\n -76.09405517578125,\n 36.29963177650553\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"Open-File Report 2020-1031 supersedes Open-File Report 2015-1208","contact":"

Director, South Atlantic Water Science Center
U.S. Geological Survey
720 Gracern Road
Stephenson Center, Suite 129
Columbia, SC 29210

","tableOfContents":"","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"publishedDate":"2020-04-15","noUsgsAuthors":false,"publicationDate":"2020-04-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Harden, Stephen L. 0000-0001-6886-0099","orcid":"https://orcid.org/0000-0001-6886-0099","contributorId":205648,"corporation":false,"usgs":true,"family":"Harden","given":"Stephen L.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785253,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fitzgerald, Sharon A. 0000-0002-6288-867X","orcid":"https://orcid.org/0000-0002-6288-867X","contributorId":210819,"corporation":false,"usgs":true,"family":"Fitzgerald","given":"Sharon A.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785254,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wagner, Chad R. 0000-0002-9602-7413 cwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-7413","contributorId":1530,"corporation":false,"usgs":true,"family":"Wagner","given":"Chad R.","email":"cwagner@usgs.gov","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true},{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":785255,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bristow, Emilia L. 0000-0002-7939-166X ebristow@usgs.gov","orcid":"https://orcid.org/0000-0002-7939-166X","contributorId":214538,"corporation":false,"usgs":true,"family":"Bristow","given":"Emilia L.","email":"ebristow@usgs.gov","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785256,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loftin, Keith A. 0000-0001-5291-876X","orcid":"https://orcid.org/0000-0001-5291-876X","contributorId":205662,"corporation":false,"usgs":true,"family":"Loftin","given":"Keith A.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":785257,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Rosen, Barry H. 0000-0002-8016-3939","orcid":"https://orcid.org/0000-0002-8016-3939","contributorId":217821,"corporation":false,"usgs":true,"family":"Rosen","given":"Barry H.","affiliations":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"preferred":true,"id":785258,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70219022,"text":"70219022 - 2020 - Sample mounting for organic petrology: No thermal effects from transient exposure to elevated temperatures","interactions":[],"lastModifiedDate":"2021-03-22T12:06:17.029941","indexId":"70219022","displayToPublicDate":"2020-04-15T07:17:53","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Sample mounting for organic petrology: No thermal effects from transient exposure to elevated temperatures","docAbstract":"

For sample mounting, organic petrology laboratories typically use cold-setting epoxy-resin (e.g., 40 °C, used by Oklahoma Geological Survey, OGS) or heat-setting thermoplastic (e.g., 180 °C, used by U.S. Geological Survey, USGS). Previous workers have suggested a systematic huminite/vitrinite reflectance (VRo) increase was associated with the thermoplastic preparation process, relative to epoxy mounting, which was possibly attributed to moisture loss from organic matter due to the transient high temperatures of plastic mounting. In this study, we evaluated thermal effects to low thermal maturity organic matter from transient exposure to elevated temperatures. A subbituminous coal sample was subjected to long-term (4 to 38 weeks) exposure to temperatures of 85 to 120 °C and afterward evaluated by multiple approaches to test thermal advance [elemental analyses, Rock-Eval pyrolysis, Fourier transform infrared spectroscopy (FTIR), nuclear magnetic resonance (NMR), pyrolysis gas chromatography, and petrographic analyses, including huminite/vitrinite reflectance and spectral fluorescence], all of which showed no detectable systematic (statistically insignificant) changes between the original sample and its heat-treated products. We also compared huminite/vitrinite reflectance of six low thermal maturity samples (those most likely to react to transient heating) mounted via both cold-setting epoxy-resin and heat-setting thermoplastic. Results indicate measured VRo of a sample prepared by one mounting process was within the standard deviation of reflectance for the same sample prepared via the other process. Moreover, VRo results were not systematically higher in thermoplastic mounts. Contrary to previous work, these results suggest thermoplastic mounting or other transient exposure to elevated temperatures does not impact thermal maturity estimates from reflectance measurement for low thermal maturity organic samples. Furthermore, the average interlaboratory difference in measured VRo (between OGS and USGS) for the same sample prepared by either epoxy-resin or thermoplastic mounting was 0.038%, about double the average difference between VRo for the same sample prepared via epoxy-resin versus thermoplastic in a single laboratory (0.024%). This result indicates interlaboratory variability impacts VRo measurement reproducibility to the extent that systematic differences could not be observed between thermoplastic and cold-setting sample preparation approaches, even if such differences were present.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2020.103446","usgsCitation":"Hackley, P.C., and Cardott, B.J., 2020, Sample mounting for organic petrology: No thermal effects from transient exposure to elevated temperatures: International Journal of Coal Geology, v. 223, 103446, 12 p., https://doi.org/10.1016/j.coal.2020.103446.","productDescription":"103446, 12 p.","ipdsId":"IP-113691","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":457083,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2020.103446","text":"Publisher Index Page"},{"id":384526,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"223","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":812487,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cardott, Brian J.","contributorId":255079,"corporation":false,"usgs":false,"family":"Cardott","given":"Brian","email":"","middleInitial":"J.","affiliations":[{"id":51412,"text":"Oklahoma Geological Survey, USA","active":true,"usgs":false}],"preferred":false,"id":812488,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70218846,"text":"70218846 - 2020 - Fluorescence spectroscopy of ancient sedimentary organic matter via confocal laser scanning microscopy (CLSM)","interactions":[],"lastModifiedDate":"2021-03-17T11:55:19.545882","indexId":"70218846","displayToPublicDate":"2020-04-15T06:49:02","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Fluorescence spectroscopy of ancient sedimentary organic matter via confocal laser scanning microscopy (CLSM)","docAbstract":"

Fluorescence spectroscopy via confocal laser scanning microscopy (CLSM) was used to analyze ancient sedimentary organic matter, including Tasmanites microfossils in Devonian shale and Gloecapsomorpha prisca (G. prisca) in Ordovician kukersite from North American basins. We examined fluorescence emission as a function of excitation laser wavelength, sample orientation, and with respect to location within individual organic entities and in transects across bedded organic matter. Results from spectral scans of the same field of view in Tasmanites with different laser lines showed progressive red-shift in emission maxima with longer excitation wavelengths. This result indicates steady-state Tasmanites fluorescence emission is an overlapping combination of emission from multiple fluorophore functions. Stokes shift decreased with increasing excitation wavelength, further suggesting the presence of multiple fluorophore functions with different S1 → S0 transition energies. This observation also indicates that at longer excitation wavelengths, less absorbed light energy is dissipated via collisional transfer than at shorter excitation wavelengths and may suggest fewer polar functions are preferentially absorbing. Confirming earlier results, emission spectra observed from high fluorescence intensity regions (fold apices) in individual Tasmanites are blue-shifted relative to emission from other locations in the same microfossil. We suggest high intensity emission is from photoselective alignment of polarized excitation with the fluorophore absorption and emission transition moment. The blue shift observed in regions of high intensity emission may be due to relative absence or realignment of polar species, e.g., bridging ether or ester functions, although variations in O abundance could not be confirmed with preliminary time-of-flight secondary ion mass spectrometry (TOF-SIMS) analysis. Tasmanites occurring in consolidated sediments are flattened from original spherical morphology and, in optical microscopy, this burial deformation results in generally parallel extinction (strain-influenced) and positive elongation. The deformation also induces fluorescence anisotropy observed as variations in emission wavelength when individual Tasmanites are measured from their long axis parallel to bedding, whereas this effect is absent in bedding-normal view. Transects from G. prisca-rich source layers into adjacent reservoir layers show decrease in fluorescence intensity and spectral red-shift (increase in full-width half-maximum with increasing red portion of the half-width). These results may suggest an increase in fluorescence quenching across the source-to-reservoir transition zone, consistent with an increase in aromaticity following petroleum expulsion and migration. These observations are supported by increasing reflectance values measured across similar micro-scale transects. Our results highlight the applicability of CLSM as a broad and under-utilized approach for the characterization of sedimentary organic matter and are discussed with perspective toward petroleum processes and thermal indices research.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2020.103445","usgsCitation":"Hackley, P.C., Jubb, A., Burruss, R., and Beaven, A.E., 2020, Fluorescence spectroscopy of ancient sedimentary organic matter via confocal laser scanning microscopy (CLSM): International Journal of Coal Geology, v. 223, 103445, 11 p., https://doi.org/10.1016/j.coal.2020.103445.","productDescription":"103445, 11 p.","ipdsId":"IP-114363","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":457086,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.coal.2020.103445","text":"Publisher Index Page"},{"id":384445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"223","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Hackley, Paul C. 0000-0002-5957-2551 phackley@usgs.gov","orcid":"https://orcid.org/0000-0002-5957-2551","contributorId":592,"corporation":false,"usgs":true,"family":"Hackley","given":"Paul","email":"phackley@usgs.gov","middleInitial":"C.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812412,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"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":812413,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burruss, Robert 0000-0001-6827-804X burruss@usgs.gov","orcid":"https://orcid.org/0000-0001-6827-804X","contributorId":146833,"corporation":false,"usgs":true,"family":"Burruss","given":"Robert","email":"burruss@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":812414,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beaven, Amy E","contributorId":255477,"corporation":false,"usgs":false,"family":"Beaven","given":"Amy","email":"","middleInitial":"E","affiliations":[{"id":51547,"text":"University of Maryland, Department of Cell Biology and Molecular Genetics","active":true,"usgs":false}],"preferred":false,"id":812415,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70216816,"text":"70216816 - 2020 - InFish: A professional network to promote global conservation and responsible use of inland fish","interactions":[],"lastModifiedDate":"2021-06-03T17:59:37.312677","indexId":"70216816","displayToPublicDate":"2020-04-14T14:13:52","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5686,"text":"Fisheries Magazine","active":true,"publicationSubtype":{"id":10}},"title":"InFish: A professional network to promote global conservation and responsible use of inland fish","docAbstract":"

Inland fishes and fisheries make substantial contributions to individuals, society, and the environment in a changing global landscape that includes climate, water allocations, and societal changes. However, current limitations to valuing the services provided by inland fish and their fisheries often leaves them out of key decision‐making discussions. InFish is a voluntary professional network with over 120 members from over 50 organizations in over 20 countries that seeks to address challenges facing inland fish through novel approaches and international collaborations. InFish fosters opportunities to share knowledge, pursue proposals, publications, and conference‐related events focused on inland fisheries. InFish has become a source of inland fisheries expertise, working collectively towards global conservation and sustainable use of inland fish through informing scientifically sound management practices. As such, InFish may serve as a model network for other natural resource challenges now and into the future.

","language":"English","publisher":"Wiley","doi":"10.1002/fsh.10419","usgsCitation":"Lynch, A.J., Bartley, D.M., Beard, Bunnell, D., Cooke, S.J., Cowx, I.G., Funge-Smith, S., Paukert, C.P., Rogers, M.W., and Taylor, W., 2020, InFish: A professional network to promote global conservation and responsible use of inland fish: Fisheries Magazine, v. 45, no. 6, p. 319-326, https://doi.org/10.1002/fsh.10419.","productDescription":"8 p.","startPage":"319","endPage":"326","ipdsId":"IP-110120","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"links":[{"id":381134,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"45","issue":"6","noUsgsAuthors":false,"publicationDate":"2020-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Lynch, Abigail J 0000-0001-8449-8392","orcid":"https://orcid.org/0000-0001-8449-8392","contributorId":245521,"corporation":false,"usgs":true,"family":"Lynch","given":"Abigail","email":"","middleInitial":"J","affiliations":[{"id":36940,"text":"National Climate Adaptation Science Center","active":true,"usgs":true}],"preferred":true,"id":806362,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bartley, Devin M.","contributorId":15913,"corporation":false,"usgs":false,"family":"Bartley","given":"Devin","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":806363,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Beard, Jr. 0000-0003-2632-2350 dbeard@usgs.gov","orcid":"https://orcid.org/0000-0003-2632-2350","contributorId":169459,"corporation":false,"usgs":true,"family":"Beard","suffix":"Jr.","email":"dbeard@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":411,"text":"National Climate Change and Wildlife Science Center","active":true,"usgs":true}],"preferred":true,"id":806364,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bunnell, David 0000-0003-3521-7747","orcid":"https://orcid.org/0000-0003-3521-7747","contributorId":245523,"corporation":false,"usgs":true,"family":"Bunnell","given":"David","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":806365,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cooke, Steve J.","contributorId":220492,"corporation":false,"usgs":false,"family":"Cooke","given":"Steve","email":"","middleInitial":"J.","affiliations":[{"id":17786,"text":"Carleton University","active":true,"usgs":false}],"preferred":false,"id":806366,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Cowx, Ian. G.","contributorId":220479,"corporation":false,"usgs":false,"family":"Cowx","given":"Ian.","email":"","middleInitial":"G.","affiliations":[{"id":40174,"text":"University of Hull","active":true,"usgs":false}],"preferred":false,"id":806367,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Funge-Smith, Simon","contributorId":197466,"corporation":false,"usgs":false,"family":"Funge-Smith","given":"Simon","affiliations":[],"preferred":false,"id":806368,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Paukert, Craig P. 0000-0002-9369-8545","orcid":"https://orcid.org/0000-0002-9369-8545","contributorId":245524,"corporation":false,"usgs":true,"family":"Paukert","given":"Craig","middleInitial":"P.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":806369,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rogers, Mark W. 0000-0001-7205-5623 mwrogers@usgs.gov","orcid":"https://orcid.org/0000-0001-7205-5623","contributorId":4590,"corporation":false,"usgs":true,"family":"Rogers","given":"Mark","email":"mwrogers@usgs.gov","middleInitial":"W.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":806370,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Taylor, William W.","contributorId":49735,"corporation":false,"usgs":false,"family":"Taylor","given":"William W.","affiliations":[],"preferred":false,"id":806371,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70208713,"text":"sir20205018 - 2020 - Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, May 22–31, 2017","interactions":[],"lastModifiedDate":"2020-04-15T11:29:32.465392","indexId":"sir20205018","displayToPublicDate":"2020-04-14T12:41:15","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":"2020-5018","displayTitle":"Bathymetric and Velocimetric Surveys at Highway Bridges Crossing the Missouri River between Kansas City and St. Louis, Missouri, May 22–31, 2017","title":"Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, May 22–31, 2017","docAbstract":"

Bathymetric and velocimetric data were collected by the U.S. Geological Survey, in cooperation with the Missouri Department of Transportation, near 10 bridges at 9 highway crossings of the Missouri River between Kansas City and St. Louis, Missouri, from May 22 to 31, 2017. A multibeam echosounder mapping system was used to obtain channel-bed elevations for river reaches ranging from 1,550 to 1,840 feet longitudinally and generally extending laterally across the active channel from bank to bank during moderate flood flow conditions. These surveys indicate the channel conditions at the time of the surveys and provide characteristics of scour holes that may be useful in the development of predictive guidelines or equations for scour holes. These data also may be useful to the Missouri Department of Transportation as a low to moderate flood flow comparison to help assess the bridges for stability and integrity issues with respect to bridge scour during floods.

Bathymetric data were collected around every pier that was in water, except those at the edge of water, and scour holes were observed at most surveyed piers. Occasionally, the scour hole near a pier was difficult to discern from nearby bed features. The observed scour holes at the surveyed bridges were generally examined with respect to shape and depth.

Although exposure of parts of substructural support elements was observed at several piers, at most sites the exposure likely can be considered minimal compared to the overall substructure that remains buried in bed material at these piers. The notable exceptions are piers 4 and 5 at structure K0999 on Missouri State Highway 41 at Miami, Mo.; piers 2 and 3 at structure G0069 on Missouri State Highway 240 at Glasgow, Mo.; and pier 5 at structure A4574 on Missouri State Highway 5 at Boonville, Mo. At these structures, the bed-material thickness between the bottom of the scour hole and bedrock was less than 6 feet.

Pier size, nose shape, and alignment to flow had a profound effect on the size of the scour hole observed for a given pier. Narrow piers having round or sharp noses that were aligned with flow often had scour holes that were difficult to discern from nearby bed features, whereas piers having wide or blunt noses resulted in larger, deeper scour holes. Several structures had piers that were skewed to primary approach flow, and scour holes near these piers generally indicated deposition on the leeward side of the pier and greater depth on the side of the pier with impinging flow. A riprap blanket constructed in 2015 around pier 4 of structures L0550 and A4497 on U.S. Highway 54 at Jefferson City, Mo., effectively mitigates the scour observed near those piers in previous surveys.

Previous bathymetric surveys exist for all the sites examined in this study. Bathymetric surfaces from a nonflood survey in 2013 and a flood survey in July 2011 at most of the sites are compared to the 2017 survey surfaces. The average channel-bed elevation at structure A4574 was remarkably similar in all three surveys and higher than what might be implied by a trendline along the reach between Kansas City and St. Louis, which may indicate this site is at or near a local feature that controls sediment deposition and scour.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205018","collaboration":"Prepared in cooperation with the Missouri Department of Transportation","usgsCitation":"Huizinga, R.J., 2020, Bathymetric and velocimetric surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, May 22–31, 2017: U.S. Geological Survey Scientific Investigations Report 2020–5018, 104 p., https://doi.org/10.3133/sir20205018.\n","productDescription":"Report: x, 104 p.; Data Releases","numberOfPages":"118","onlineOnly":"Y","ipdsId":"IP-110170","costCenters":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"links":[{"id":373939,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9L6GW57","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri River in Kansas City, Missouri, March 2010 through May 2017"},{"id":372633,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5018/coverthb.jpg"},{"id":373938,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5018/sir20205018.pdf","text":"Report","size":"23.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5018"},{"id":373940,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P94M4US7","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Bathymetry and velocity data from surveys at highway bridges crossing the Missouri River between Kansas City and St. Louis, Missouri, January 2010 through May 2017"}],"country":"United States","state":"Missouri","city":"Kansas City, St. Louis","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.142822265625,\n 38.805470223177466\n ],\n [\n -91.12060546875,\n 38.92522904714054\n ],\n [\n -92.16430664062499,\n 39.08743603215884\n ],\n [\n -93.2958984375,\n 39.04478604850143\n ],\n [\n -94.119873046875,\n 39.12153746241925\n ],\n [\n -94.68017578125,\n 39.198205348894795\n ],\n [\n -94.63623046875,\n 38.91668153637508\n ],\n [\n -94.04296874999999,\n 38.865374851611634\n ],\n [\n -93.109130859375,\n 38.79690830348427\n ],\n [\n -92.274169921875,\n 38.85682013474361\n ],\n [\n -91.91162109375,\n 38.81403111409755\n ],\n [\n -91.29638671875,\n 38.69408504756833\n ],\n [\n -90.648193359375,\n 38.659777730712534\n ],\n [\n -90.186767578125,\n 38.57393751557591\n ],\n [\n -90.142822265625,\n 38.805470223177466\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Central Midwest Water Science Center
U.S. Geological Survey
1400 Independence Road
Rolla, MO 65401

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-04-14","noUsgsAuthors":false,"publicationDate":"2020-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Huizinga, Richard J. 0000-0002-2940-2324 huizinga@usgs.gov","orcid":"https://orcid.org/0000-0002-2940-2324","contributorId":2089,"corporation":false,"usgs":true,"family":"Huizinga","given":"Richard","email":"huizinga@usgs.gov","middleInitial":"J.","affiliations":[{"id":36532,"text":"Central Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":783135,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70210514,"text":"70210514 - 2020 - Atmospheric dust deposition varies by season and elevation in the Colorado Front Range, USA","interactions":[],"lastModifiedDate":"2020-06-08T15:47:17.13092","indexId":"70210514","displayToPublicDate":"2020-04-14T10:42:17","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5739,"text":"Journal of Geophysical Research: Earth Surface","onlineIssn":"2169-9011","active":true,"publicationSubtype":{"id":10}},"title":"Atmospheric dust deposition varies by season and elevation in the Colorado Front Range, USA","docAbstract":"

As atmospheric dust deposition continues to increase across the southwestern United States, it has the potential to alter ecosystem productivity and structure by delivering nutrients, base cations, and pollutants to remote mountain sites. Due to the sparse distribution of dust monitoring sites, open questions remain about the spatial and temporal variability of dust fluxes and composition across mountainous terrain. We present a 1 year (November 2017 to November 2018) record of seasonal dust fluxes and composition from an elevation transect across the Colorado Front Range extending from the urban plains to the remote alpine. At all nine sites, dust was enriched in the essential nutrient phosphorus and the metals copper, zinc, lead, and cadmium, elements that are enriched in dust deposited at sites across the Rocky Mountain West. We observed a seasonal pattern in dust composition, with the highest concentrations of zinc and cadmium during the summer, when back trajectory modeling suggested a greater contribution of dust from local urban and agricultural regions to the east of the collection sites. During the summer, there was also a trend of higher dust fluxes at lower elevations; dust fluxes ranged from 18.9 ± 0.1 g m−2 yr−1 on the plains to 5.9 ± 0.2 g m−2 yr−1 in the alpine. Our results suggest that urban and agricultural land east of the Colorado Front Range is an important source of nutrients and pollutants to all elevations of the mountain range.

","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2019JF005436","usgsCitation":"Heindel, R.C., Putman, A.L., Murphy, S.F., Repert, D.A., and Hinckley, E.S., 2020, Atmospheric dust deposition varies by season and elevation in the Colorado Front Range, USA: Journal of Geophysical Research: Earth Surface, v. 125, no. 5, e2019JF005436, 18 p., https://doi.org/10.1029/2019JF005436.","productDescription":"e2019JF005436, 18 p.","ipdsId":"IP-117827","costCenters":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":375411,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Colorado Front Range","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.578369140625,\n 39.65645604812829\n ],\n [\n -104.5458984375,\n 39.65645604812829\n ],\n [\n -104.5458984375,\n 40.463666324587685\n ],\n [\n -106.578369140625,\n 40.463666324587685\n ],\n [\n -106.578369140625,\n 39.65645604812829\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"125","issue":"5","noUsgsAuthors":false,"publicationDate":"2020-05-06","publicationStatus":"PW","contributors":{"authors":[{"text":"Heindel, Ruth C. 0000-0001-6292-2076","orcid":"https://orcid.org/0000-0001-6292-2076","contributorId":225133,"corporation":false,"usgs":false,"family":"Heindel","given":"Ruth","email":"","middleInitial":"C.","affiliations":[{"id":36621,"text":"University of Colorado","active":true,"usgs":false}],"preferred":false,"id":790482,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Putman, Annie L. 0000-0002-9424-1707","orcid":"https://orcid.org/0000-0002-9424-1707","contributorId":225134,"corporation":false,"usgs":true,"family":"Putman","given":"Annie","email":"","middleInitial":"L.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":790483,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"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":790484,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Repert, Deborah A. 0000-0001-7284-1456 darepert@usgs.gov","orcid":"https://orcid.org/0000-0001-7284-1456","contributorId":2578,"corporation":false,"usgs":true,"family":"Repert","given":"Deborah","email":"darepert@usgs.gov","middleInitial":"A.","affiliations":[{"id":38175,"text":"Toxics Substances Hydrology Program","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":790485,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hinckley, Eve-Lyn S.","contributorId":181894,"corporation":false,"usgs":false,"family":"Hinckley","given":"Eve-Lyn","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":790486,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70210523,"text":"70210523 - 2020 - Evaluating indicators of marsh vulnerability to sea level rise along a historical marsh loss gradient","interactions":[],"lastModifiedDate":"2020-07-09T15:06:48.991795","indexId":"70210523","displayToPublicDate":"2020-04-14T09:48:57","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1425,"text":"Earth Surface Processes and Landforms","active":true,"publicationSubtype":{"id":10}},"title":"Evaluating indicators of marsh vulnerability to sea level rise along a historical marsh loss gradient","docAbstract":"

Sea level rise (SLR) is threatening coastal marshes, leading to large‐scale marsh loss in several micro‐tidal systems. Early recognition of marsh vulnerability to SLR is critical in these systems to aid managers to take appropriate restoration or mitigation measures. However, it is not clear if current marsh vulnerability indicators correctly assess long‐term stability of the marsh system. In this study, two indicators of marsh stress were studied: (i) the skewness of the marsh elevation distribution, and (ii) the abundance of codominant species in mixtures. We combined high‐precision elevation measurements (GPS), LiDAR imagery, vegetation surveys and water level measurements to study these indicators in an organogenic micro‐tidal system (Blackwater River, Maryland, USA), where large‐scale historical conversion from marshes to shallow ponds resulted in a gradient of increasing marsh loss. The two indicators reveal increasingly stressed marshes along the marsh loss gradient, but suggest that the field site with the most marsh loss seems to experience less stress. For the latter site, previous research indicates that wind waves generated on interior marsh ponds contribute to lateral erosion of surrounding marsh edges and hence marsh loss. The eroded marsh sediment might temporarily provide the remaining marshes with the necessary sediment to keep up with relative SLR. However, this is only a short‐term alleviation, as lateral marsh edge erosion and sediment export lead to severe marsh loss in the long term. Our findings indicate that marsh elevation skewness and the abundance of codominant species in mixtures can be used to supplement existing marsh stress indicators, but that additional indices such as fetch length and the sediment budget should be included to account for lateral marsh erosion and sediment export and to correctly assess long‐term stability of micro‐tidal marshes.

","language":"English","publisher":"Wiley","doi":"10.1002/esp.4869","usgsCitation":"Schepers, L., Kirwan, M.L., Guntenspergen, G.R., and Temmerman, S., 2020, Evaluating indicators of marsh vulnerability to sea level rise along a historical marsh loss gradient: Earth Surface Processes and Landforms, v. 45, no. 9, p. 2107-2117, https://doi.org/10.1002/esp.4869.","productDescription":"11 p.","startPage":"2107","endPage":"2117","ipdsId":"IP-099311","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":457093,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/esp.4869","text":"Publisher Index Page"},{"id":375464,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","otherGeospatial":"Blackwater marshes","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.32476806640625,\n 38.40033474910393\n ],\n [\n -76.13868713378906,\n 38.40033474910393\n ],\n [\n -76.13868713378906,\n 38.49820570027114\n ],\n [\n -76.32476806640625,\n 38.49820570027114\n ],\n [\n -76.32476806640625,\n 38.40033474910393\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"9","noUsgsAuthors":false,"publicationDate":"2020-05-20","publicationStatus":"PW","contributors":{"authors":[{"text":"Schepers, Lennert","contributorId":189203,"corporation":false,"usgs":false,"family":"Schepers","given":"Lennert","email":"","affiliations":[],"preferred":false,"id":790511,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kirwan, Matt L.","contributorId":189205,"corporation":false,"usgs":false,"family":"Kirwan","given":"Matt","middleInitial":"L.","affiliations":[],"preferred":false,"id":790512,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Guntenspergen, Glenn R. 0000-0002-8593-0244 glenn_guntenspergen@usgs.gov","orcid":"https://orcid.org/0000-0002-8593-0244","contributorId":2885,"corporation":false,"usgs":true,"family":"Guntenspergen","given":"Glenn","email":"glenn_guntenspergen@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":790513,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Temmerman, Stijn","contributorId":189204,"corporation":false,"usgs":false,"family":"Temmerman","given":"Stijn","email":"","affiliations":[],"preferred":false,"id":790514,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70209228,"text":"sir20205031 - 2020 - Effects of legacy sediment removal and effects on nutrients and sediment in Big Spring Run, Lancaster County, Pennsylvania, 2009–15","interactions":[],"lastModifiedDate":"2020-04-14T14:16:58.478936","indexId":"sir20205031","displayToPublicDate":"2020-04-14T09:30:00","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":"2020-5031","displayTitle":"Effects of Legacy Sediment Removal on Nutrients and Sediment in Big Spring Run, Lancaster County, Pennsylvania, 2009–15","title":"Effects of legacy sediment removal and effects on nutrients and sediment in Big Spring Run, Lancaster County, Pennsylvania, 2009–15","docAbstract":"

Big Spring Run is a 1.68-square mile watershed underlain by mostly carbonate rock in a mixed land-use setting (part agricultural and part developed) in Lancaster County, Pennsylvania. Big Spring Run is a subwatershed of Mill Creek, a tributary to the Conestoga River. These watersheds are known contributors of nutrient and sediment loads to the Chesapeake Bay and several stream reaches are on the Pennsylvania impaired waters list. Big Spring Run is listed as impaired and was selected by the Pennsylvania Department of Environmental Protection to evaluate a novel best management practice to restore natural aquatic ecosystems by removing legacy sediment. The study was designed to quantify sediment and nutrient contributions in pre- and postrestoration periods (water years 2009–11 and 2012–15, respectively) using an intensive monitoring approach at three surface-water sites within the watershed. Instrumentation at each site continuously measured (15-minute intervals) streamflow, water temperature, and turbidity. Water-quality samples were collected routinely (generally monthly and during selected storms); sampling frequency varied by site and constituent at the three monitoring sites.

Effects of legacy sediment removal and restoration on nutrient concentrations varied in surface water samples depending on the form (particulate, dissolved, organic, inorganic). For example, total phosphorus concentrations at the downstream site decreased from a median of 0.19 milligram per liter (mg/L) to 0.04 mg/L, pre- and postrestoration periods, respectively. Concentrations of orthophosphate, the dissolved form of phosphorus, were not significantly different pre- to postrestoration at the downstream site. Similarly, nitrate concentrations, the dominant form of nitrogen in Big Spring Run surface-water samples (92.3 percent of total nitrogen) were not significantly different in the pre- compared to the postrestoration periods.

Legacy sediment removal and restoration had significant effects on suspended-sediment concentrations and loads. Median suspended-sediment concentrations at the downstream site decreased from 556 mg/L prerestoration to 74 mg/L postrestoration even though streamflow hydrographs during the two periods were similar. In the postrestoration period, the mean annual suspended-sediment load conveyed to the restoration area from the upstream sites was 839 tons, whereas mean annual suspended-sediment load at the downstream site was reduced to 242 tons.

Streamflow during storms transports a large proportion of the suspended-sediment load; there were a total of 320 storms over the study period. In Big Spring Run, a single storm event can transport more than 25 percent of the annual suspended-sediment load. The greatest single-storm contribution to suspended-sediment load was 38 percent in water year 2015 at the downstream site. Although streamflow magnitudes during storms varied greatly over the study period, median streamflow was 17.5 cubic feet per second and median duration was about 3 hours and 24 minutes.

Results observed for this study using the newly proposed best management practice were compared with other best management practices intended to reduce sediment. For example, during a previous study, statistically significant reductions in suspended-sediment concentration were observed when streambank fencing was implemented in an adjacent watershed; however, suspended-sediment reductions were an order of magnitude less than the reductions observed in the current study. Median suspended-sediment concentration at the downstream site was reduced by 482 mg/L in the current study compared to only 30 to 46 mg/L as a result of streambank fencing.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205031","collaboration":"Prepared in cooperation with the Pennsylvania Department of Environmental Protection, and in collaboration with Franklin and Marshall College and the U.S. Environmental Protection Agency","usgsCitation":"Langland, M.J., Duris, J.W., Zimmerman, T.M., and Chaplin, J.J., 2020, Effects of legacy sediment removal and effects on nutrients and sediment in Big Spring Run, Lancaster County, Pennsylvania, 2009–15: U.S. Geological Survey Scientific Investigations Report 2020-5031, 28 p., https://doi.org/10.3133/sir20205031.","productDescription":"Report: viii, 28 p.; 3 Data Releases","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-084985","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":373895,"rank":5,"type":{"id":30,"text":"Data 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sediment at Big Spring Run, Lancaster County, Pennsylvania, 2009–2015"},{"id":373892,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5031/sir20205031.pdf","text":"Report","size":"2.19 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020-5031"},{"id":373891,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5031/coverthb.jpg"}],"country":"United States","state":"Pennsylvania","county":"Lancaster 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Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070

","tableOfContents":"","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"publishedDate":"2020-04-14","noUsgsAuthors":false,"publicationDate":"2020-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Langland, Michael J. 0000-0002-8350-8779 langland@usgs.gov","orcid":"https://orcid.org/0000-0002-8350-8779","contributorId":2347,"corporation":false,"usgs":true,"family":"Langland","given":"Michael","email":"langland@usgs.gov","middleInitial":"J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Duris, Joseph W. 0000-0002-8669-8109 jwduris@usgs.gov","orcid":"https://orcid.org/0000-0002-8669-8109","contributorId":172426,"corporation":false,"usgs":true,"family":"Duris","given":"Joseph","email":"jwduris@usgs.gov","middleInitial":"W.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true},{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"preferred":false,"id":785467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Zimmerman, Tammy M. 0000-0003-0842-6981","orcid":"https://orcid.org/0000-0003-0842-6981","contributorId":219288,"corporation":false,"usgs":true,"family":"Zimmerman","given":"Tammy M.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chaplin, Jeffrey J. 0000-0002-0617-5050","orcid":"https://orcid.org/0000-0002-0617-5050","contributorId":205149,"corporation":false,"usgs":true,"family":"Chaplin","given":"Jeffrey J.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":785469,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70221156,"text":"70221156 - 2020 - Genesis and evolution of ferromanganese crusts from the summit of Rio Grande Rise, southwest Atlantic Ocean","interactions":[],"lastModifiedDate":"2021-06-03T12:54:29.476362","indexId":"70221156","displayToPublicDate":"2020-04-14T07:45:03","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5207,"text":"Minerals","active":true,"publicationSubtype":{"id":10}},"title":"Genesis and evolution of ferromanganese crusts from the summit of Rio Grande Rise, southwest Atlantic Ocean","docAbstract":"
The Rio Grande Rise (RGR) is a large elevation in the Atlantic Ocean and known to host potential mineral resources of ferromanganese crusts (Fe–Mn), but no investigation into their general characteristics have been made in detail. Here, we investigate the chemical and mineralogical composition, growth rates and ages of initiation, and phosphatization of relatively shallow-water (650–825 m) Fe–Mn crusts dredged from the summit of RGR by using computed tomography, X-ray diffraction, 87Sr/86Sr ratios, U–Th isotopes, and various analytical techniques to determine their chemical composition. Fe–Mn crusts from RGR have two distinct generations. The older one has an estimated age of initiation around 48–55 Ma and was extensively affected by post-depositional processes under suboxic conditions resulting in phosphatization during the Miocene (from 20 to 6.8 Ma). As a result, the older generation shows characteristics of diagenetic Fe–Mn deposits, such as low Fe/Mn ratios (mean 0.52), high Mn, Ni, and Li contents and the presence of a 10 Å phyllomanganate, combined with the highest P content among crusts (up to 7.7 wt %). The younger generation is typical of hydrogenetic crusts formed under oxic conditions, with a mean Fe/Mn ratio of 0.75 and mean Co content of 0.66 wt %, and has the highest mean contents of Bi, Nb, Ni, Te, Rh, Ru, and Pt among crusts formed elsewhere. The regeneration of nutrients from local biological productivity in the water column is the main source of metals to crusts, providing mainly metals that regenerate rapidly in the water column and are made available at relatively shallow water depths (Ni, As, V, and Cd), at the expense of metals of slower regeneration (Si and Cu). Additionally, important contributions of nutrients may derive from various water masses, especially the South Atlantic Mode Water and Antarctic Intermediate Water (AAIW). Bulk Fe–Mn crusts from the summit of RGR plateau are generally depleted in metals considered of greatest economic interest in crusts like Co, REE, Mo, Te, and Zr, but are the most enriched in the critical metals Ni and Li compared to other crusts. Further investigations are warranted on Fe–Mn crusts from deeper-water depths along the RGR plateau and surrounding areas, which would less likely be affected by phosphatization.
","language":"English","publisher":"MDPI","doi":"10.3390/min10040349","usgsCitation":"Benites, M., Hein, J.R., Mizell, K., Blackburn, T., and Jovane, L., 2020, Genesis and evolution of ferromanganese crusts from the summit of Rio Grande Rise, southwest Atlantic Ocean: Minerals, v. 10, no. 4, 349, 36 p., https://doi.org/10.3390/min10040349.","productDescription":"349, 36 p.","ipdsId":"IP-117416","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":457096,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3390/min10040349","text":"Publisher Index Page"},{"id":386172,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Brazil","otherGeospatial":"Rio Grande Rise","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -42.5390625,\n -26.588527147308614\n ],\n [\n -31.552734374999996,\n -26.588527147308614\n ],\n [\n -31.552734374999996,\n -16.467694748288956\n ],\n [\n -42.5390625,\n -16.467694748288956\n ],\n [\n -42.5390625,\n -26.588527147308614\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"4","noUsgsAuthors":false,"publicationDate":"2020-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"Benites, Mariana","contributorId":259240,"corporation":false,"usgs":false,"family":"Benites","given":"Mariana","email":"","affiliations":[{"id":48623,"text":"University of Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":816881,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hein, James R. 0000-0002-5321-899X jhein@usgs.gov","orcid":"https://orcid.org/0000-0002-5321-899X","contributorId":140835,"corporation":false,"usgs":true,"family":"Hein","given":"James","email":"jhein@usgs.gov","middleInitial":"R.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816882,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mizell, Kira 0000-0002-5066-787X kmizell@usgs.gov","orcid":"https://orcid.org/0000-0002-5066-787X","contributorId":4914,"corporation":false,"usgs":true,"family":"Mizell","given":"Kira","email":"kmizell@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":816883,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blackburn, Terrence 0000-0003-0029-0709","orcid":"https://orcid.org/0000-0003-0029-0709","contributorId":259241,"corporation":false,"usgs":false,"family":"Blackburn","given":"Terrence","email":"","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":816884,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jovane, Luigi 0000-0003-4348-4714","orcid":"https://orcid.org/0000-0003-4348-4714","contributorId":259243,"corporation":false,"usgs":false,"family":"Jovane","given":"Luigi","email":"","affiliations":[{"id":48623,"text":"University of Sao Paulo","active":true,"usgs":false}],"preferred":false,"id":816885,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70217316,"text":"70217316 - 2020 - Dietary patterns in black abalone (Haliotis cracherodii Leach, 1814) as indicated by observation of drift algal and seagrass capture at San Nicolas Island, California USA, 1982‒2019","interactions":[],"lastModifiedDate":"2021-01-18T13:31:49.481694","indexId":"70217316","displayToPublicDate":"2020-04-14T07:29:46","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2455,"text":"Journal of Shellfish Research","active":true,"publicationSubtype":{"id":10}},"title":"Dietary patterns in black abalone (Haliotis cracherodii Leach, 1814) as indicated by observation of drift algal and seagrass capture at San Nicolas Island, California USA, 1982‒2019","docAbstract":"

Black abalone Haliotis cracherodii Leach, 1814 are known to feed on drift plant macrodetritus moved about in the intertidal zone by waves and currents. Drift capture is a trait shared by at least several other abalone species. Drift materials are entrapped beneath the anterior foot and held for ingestion. The quantitative significance of feeding on entrapped drift macrodetritus for black abalone is unknown. Furthermore, there are no published data on the extent to which local and mesoscale spatial distributions of source plant populations influence the composition of drift plant material in black abalone diet as acquired by entrapment. From February 1982 through March 2019, occurrences of macrodetrital entrapment by black abalone were observed in nine rocky intertidal study plots, with a summed surface area of 2,054 m2, on the periphery of San Nicolas Island (SNI), California (Island centroid at ∼33.25°, –119.50°). A small preliminary survey and 27 complete surveys were performed during the study period (mean of ∼1.4 y between complete surveys). During the study, more than 1.5 × 105 black abalone were examined. The total likely included repeated observations of many individuals as a result of the known longevity and limited mobility of the species. Of those observed, ∼1.65 × 103 black abalone were recorded as apparently ingesting entrapped items. Frequency data were dominated (∼95% of all records) by three species of kelp Macrocystis pyrifera (Linnaeus) C. Agardh; commonly known as “giant kelp”, Egregia menziesii (Turner), and Eisenia arborea Areschoug. Of those, giant kelp was the most frequently observed entrapped category (∼76%). Living, attached giant kelp is rarely observed in intertidal habitats at SNI, and it follows that utilization of giant kelp by black abalone requires physical importation of the kelp from other locations. Frequencies of occurrence of giant kelp entrapment by individual study site were clearly associated with the relative surface canopy sizes and persistence patterns of offshore kelp forests adjacent (≤2 km) to the respective study sites. The pattern suggests that subsidies of drift giant kelp to black abalone diet involve mesoscale physical processes largely proximate to SNI but probably not subsidies from more distant locations such as other islands or the California mainland. Utilization of other frequently recorded kelps as food by black abalone likely involves spatial subsidies as well, but on smaller scales of distance (∼10–100 m for E. arborea; ∼0–100 m for E. menziesii). In the context of the imperiled status of black abalone, recovery actions may include outplants of captive-reared animals or transplantation of wild animals from other populations. For such actions, data from SNI suggest a need for consideration of scales of separation among release locations and nearby populations of the three apparently predominant kelp species in black abalone diet.

","language":"English","publisher":"National Shellfisheries Association","doi":"10.2983/035.039.0111","usgsCitation":"Kenner, M.C., and Van Blaricom, G., 2020, Dietary patterns in black abalone (Haliotis cracherodii Leach, 1814) as indicated by observation of drift algal and seagrass capture at San Nicolas Island, California USA, 1982‒2019: Journal of Shellfish Research, v. 39, no. 1, p. 113-124, https://doi.org/10.2983/035.039.0111.","productDescription":"12 p.","startPage":"113","endPage":"124","ipdsId":"IP-114692","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":437024,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9GVHC4Z","text":"USGS data release","linkHelpText":"Feeding observations of intertidal black abalone at monitored sites around San Nicolas Island, California and local distribution of Macrocystis pyrifera based on surface canopy maps"},{"id":382250,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"San Nicolas Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -119.63012695312499,\n 33.18468605833171\n ],\n [\n -119.39048767089844,\n 33.18468605833171\n ],\n [\n -119.39048767089844,\n 33.32249604487461\n ],\n [\n -119.63012695312499,\n 33.32249604487461\n ],\n [\n -119.63012695312499,\n 33.18468605833171\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"39","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kenner, Michael C. 0000-0003-4659-461X","orcid":"https://orcid.org/0000-0003-4659-461X","contributorId":208151,"corporation":false,"usgs":true,"family":"Kenner","given":"Michael","email":"","middleInitial":"C.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":808331,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Van Blaricom, Glenn","contributorId":247778,"corporation":false,"usgs":false,"family":"Van Blaricom","given":"Glenn","email":"","affiliations":[{"id":37814,"text":"Former USGS","active":true,"usgs":false}],"preferred":false,"id":808332,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70209598,"text":"70209598 - 2020 - Explaining mass balance and retreat dichotomies at Taku and Lemon Creek Glaciers, Alaska","interactions":[],"lastModifiedDate":"2020-04-15T12:13:20.124246","indexId":"70209598","displayToPublicDate":"2020-04-14T07:06:16","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2328,"text":"Journal of Glaciology","active":true,"publicationSubtype":{"id":10}},"title":"Explaining mass balance and retreat dichotomies at Taku and Lemon Creek Glaciers, Alaska","docAbstract":"We reanalyzed mass balance records at Taku and Lemon Creek Glaciers to better understand the relative roles of hypsometry, local climate and dynamics as mass balance drivers. Over the 1946–2018 period, the cumulative mass balances diverged. Tidewater Taku Glacier advanced and gained mass at an average rate of +0.25±0.28 m w.e. a–1, contrasting with retreat and mass loss of –0.60±0.15 m w.e. a-1 at land-terminating Lemon Creek Glacier. The uniform influence of regional climate is demonstrated by strong correlations among annual mass balance and climate data. Regional warming trends forced similar statistically significant decreases in surface mass balance after 1989: –0.83 m w.e. a–1 at Taku Glacier and –0.81 m w.e. a–1 at Lemon Creek Glacier. Divergence in cumulative mass balance arises from differences in glacier hypsometry and local climate. Since 2013 negative mass balance and glacier-wide thinning prevailed at Taku Glacier. These changes initiated terminus retreat, which could increase dramatically if calving begins. The future mass balance trajectory of Taku Glacier hinges on dynamics, likely ending the historic dichotomy between these glaciers.","language":"English","publisher":"Cambridge University Press","doi":"10.1017/jog.2020.22","collaboration":"","usgsCitation":"McNeil, C., O’Neel, S., Loso, M., Pelto, M., Sass, L., Baker, E., and Campbell, S., 2020, Explaining mass balance and retreat dichotomies at Taku and Lemon Creek Glaciers, Alaska: Journal of Glaciology, 13 p., https://doi.org/10.1017/jog.2020.22.","productDescription":"13 p.","ipdsId":"IP-110862","costCenters":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"links":[{"id":457098,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1017/jog.2020.22","text":"Publisher Index Page"},{"id":374002,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alaska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -130.517578125,\n 54.36775852406841\n ],\n [\n -130.78125,\n 56.46249048388979\n ],\n [\n -135.17578125,\n 59.62332522313024\n ],\n [\n -139.833984375,\n 60.457217797743944\n ],\n [\n -142.11914062499997,\n 62.103882522897855\n ],\n [\n -146.513671875,\n 63.704722429433225\n ],\n [\n -152.490234375,\n 63.11463763252091\n ],\n [\n -154.423828125,\n 61.438767493682825\n ],\n [\n -153.45703125,\n 59.7563950493563\n ],\n [\n -151.69921875,\n 58.53959476664049\n ],\n [\n -147.392578125,\n 59.66774058164963\n ],\n [\n -142.294921875,\n 59.62332522313024\n ],\n [\n -138.603515625,\n 58.17070248348609\n ],\n [\n -135.35156249999997,\n 54.77534585936447\n ],\n [\n -130.517578125,\n 54.36775852406841\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationDate":"2020-04-14","publicationStatus":"PW","contributors":{"authors":[{"text":"McNeil, Christopher J. 0000-0003-4170-0428 cmcneil@usgs.gov","orcid":"https://orcid.org/0000-0003-4170-0428","contributorId":5803,"corporation":false,"usgs":true,"family":"McNeil","given":"Christopher J.","email":"cmcneil@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":787074,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"O’Neel, Shad 0000-0002-9185-0144 soneel@usgs.gov","orcid":"https://orcid.org/0000-0002-9185-0144","contributorId":166740,"corporation":false,"usgs":true,"family":"O’Neel","given":"Shad","email":"soneel@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true},{"id":107,"text":"Alaska Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":787075,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Loso, Michael 0000-0001-8414-2310","orcid":"https://orcid.org/0000-0001-8414-2310","contributorId":224115,"corporation":false,"usgs":false,"family":"Loso","given":"Michael","email":"","affiliations":[{"id":20307,"text":"US National Park Service","active":true,"usgs":false}],"preferred":false,"id":787076,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pelto, Mauri 0000-0002-9498-9125","orcid":"https://orcid.org/0000-0002-9498-9125","contributorId":224116,"corporation":false,"usgs":false,"family":"Pelto","given":"Mauri","email":"","affiliations":[{"id":40827,"text":"Nichols College","active":true,"usgs":false}],"preferred":false,"id":787077,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sass, Louis C. 0000-0003-4677-029X lsass@usgs.gov","orcid":"https://orcid.org/0000-0003-4677-029X","contributorId":3555,"corporation":false,"usgs":true,"family":"Sass","given":"Louis C.","email":"lsass@usgs.gov","affiliations":[{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true},{"id":114,"text":"Alaska Science Center","active":true,"usgs":true}],"preferred":true,"id":787078,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Baker, Emily 0000-0002-0938-3496 ehbaker@usgs.gov","orcid":"https://orcid.org/0000-0002-0938-3496","contributorId":200570,"corporation":false,"usgs":true,"family":"Baker","given":"Emily","email":"ehbaker@usgs.gov","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":120,"text":"Alaska Science Center Water","active":true,"usgs":true}],"preferred":true,"id":787079,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Campbell, Seth 0000-0002-9620-8329","orcid":"https://orcid.org/0000-0002-9620-8329","contributorId":224117,"corporation":false,"usgs":false,"family":"Campbell","given":"Seth","email":"","affiliations":[{"id":7063,"text":"University of Maine","active":true,"usgs":false}],"preferred":false,"id":787080,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70208921,"text":"sir20205020 - 2020 - Characterization of surface-water and groundwater quality on the Fort Berthold Reservation, North Dakota, 2014–17","interactions":[],"lastModifiedDate":"2020-04-13T22:33:58.786848","indexId":"sir20205020","displayToPublicDate":"2020-04-13T12:05:43","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":"2020-5020","displayTitle":"Characterization of Surface-Water and Groundwater Quality on the Fort Berthold Reservation, North Dakota, 2014–17","title":"Characterization of surface-water and groundwater quality on the Fort Berthold Reservation, North Dakota, 2014–17","docAbstract":"

The Fort Berthold Reservation is in west-central North Dakota and home to the Three Affiliated Tribes. The primary water-resources concerns on the Fort Berthold Reservation are associated with the different types of land uses from agricultural activities and the rapid development of oil and gas resources in western North Dakota. The Three Affiliated Tribes Environmental Department identified the need for long-term water-quality monitoring throughout the Fort Berthold Reservation to better understand the potential effects on surface-water and groundwater quality and to determine if water quality is changing with time. The U.S. Geological Survey, in cooperation with the Three Affiliated Tribes, identified surface-water sites and groundwater wells that represent the water resources in major drainages and the most utilized aquifers on the reservation. A water-quality monitoring program was designed to address data gaps and provide consistent long-term data that can be used to identify potential effects on water quality. During 2014–17, the initial water-quality sampling efforts associated with this program were completed. The efforts provide a current (2019) characterization of water-quality conditions in surface water and groundwater and can assist in establishing a long-term water-quality monitoring program

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20205020","collaboration":"Prepared in cooperation with the Three Affiliated Tribes","usgsCitation":"Lundgren, R.F., and Iorio, M.J., 2020, Characterization of surface-water and groundwater quality on the Fort Berthold Reservation, North Dakota, 2014–17: U.S. Geological Survey Scientific Investigations Report 2020–5020, 37 p., https://doi.org/10.3133/sir20205020.","productDescription":"Report: vii, 37 p.; 1 Table; 6 Appendix Tables","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-112739","costCenters":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":373821,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020.pdf","text":"Report","size":"8.60 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2020–5020"},{"id":373822,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020_table2.xlsx","text":"Table 2","size":"16.1 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5020 Table 2","linkHelpText":"– Site information for groundwater wells sampled on Fort Berthold Reservation, North Dakota, 2014–17"},{"id":373824,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020_appendix_table1.2.xlsx","text":"Appendix Table 1.2","size":"30.0 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5020 Appendix Table 1.2","linkHelpText":"– Quality-assurance data collected for additional constituents on Fort Berthold Reservation, North Dakota, 2014–17"},{"id":373825,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020_appendix_table1.3.xlsx","text":"Appendix Table 1.3","size":"30.5 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5020 Appendix Table 1.3","linkHelpText":"– Summary statistics for water-quality constituents analyzed but not selected for additional discussion in surface water on Fort Berthold Reservation, 2014–17"},{"id":373826,"rank":7,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020_appendix_table1.4.xlsx","text":"Appendix Table 1.4","size":"21.3 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5020 Appendix Table 1.4","linkHelpText":"– Summary statistics for historical water-quality constituents at surface-water sites on Fort Berthold Reservation, August 1966 through April 2014"},{"id":373827,"rank":8,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020_appendix_table1.5.xlsx","text":"Appendix Table 1.5","size":"31.1 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5020 Appendix Table 1.5","linkHelpText":"– Summary statistics for water-quality constituents analyzed but not selected for additional discussion in groundwater on Fort Berthold Reservation, 2014–17"},{"id":373828,"rank":9,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020_appendix_table2.1.xlsx","text":"Appendix Table 2.1","size":"593 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5020 Appendix Table 2.1","linkHelpText":"– Summary statistics for historical water-quality constituents in major aquifers on Fort Berthold Reservation, North Dakota"},{"id":373823,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2020/5020/sir20205020_appendix_table1.1.xlsx","text":"Appendix Table 1.1","size":"18.8 kB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2020–5020 Appendix Table 1.1","linkHelpText":"– Quality-assurance data collected for selected constituents on Fort Berthold Reservation, North Dakota, 2014–17"},{"id":373820,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2020/5020/coverthb.jpg"}],"country":"United States","state":"North Dakota","otherGeospatial":" Fort Berthold Reservation","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.79632568359374,\n 47.428087261714275\n ],\n [\n -101.84326171874999,\n 47.42622912485741\n ],\n [\n -101.84875488281249,\n 47.68018294648414\n ],\n [\n -101.87896728515624,\n 48.004625021133904\n ],\n [\n -102.79632568359374,\n 48.01381248943335\n ],\n [\n -102.79632568359374,\n 47.428087261714275\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"

Director, Dakota Water Science Center
U.S. Geological Survey
821 East Interstate Avenue
Bismarck, ND 58503

1608 Mountain View Road
Rapid City, SD 57702

","tableOfContents":"","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"publishedDate":"2020-04-13","noUsgsAuthors":false,"publicationDate":"2020-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Lundgren, Robert F. 0000-0001-7669-0552 rflundgr@usgs.gov","orcid":"https://orcid.org/0000-0001-7669-0552","contributorId":1657,"corporation":false,"usgs":true,"family":"Lundgren","given":"Robert","email":"rflundgr@usgs.gov","middleInitial":"F.","affiliations":[{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":784021,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Iorio, Mary J.","contributorId":223081,"corporation":false,"usgs":false,"family":"Iorio","given":"Mary","email":"","middleInitial":"J.","affiliations":[{"id":40667,"text":"Three Affiliated Tribes","active":true,"usgs":false}],"preferred":false,"id":784022,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70209510,"text":"ofr20201027 - 2020 - Some approaches to accounting for incidental carcass discoveries in non-monitored years using the Evidence of Absence model","interactions":[],"lastModifiedDate":"2020-04-17T15:57:41.04636","indexId":"ofr20201027","displayToPublicDate":"2020-04-13T10:04:52","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":"2020-1027","displayTitle":"Some Approaches to Accounting for Incidental Carcass Discoveries in Non-Monitored Years using the Evidence of Absence Model","title":"Some approaches to accounting for incidental carcass discoveries in non-monitored years using the Evidence of Absence model","docAbstract":"

Executive Summary

We evaluate three approaches to accounting for incidental carcasses when estimating an upper bound on total mortality (\uD835\uDC40) as \uD835\uDC40∗ using the Evidence of Absence model (EoA; Dalthorp and others, 2017) to assess compliance with an Incidental Take Permit (ITP) (Dalthorp & Huso, 2015) under a monitoring protocol that includes formal, dedicated carcass surveys that achieve an overall detection probability of \uD835\uDC54\uD835\uDC60=0.15 in the first year, followed by 4 years with no formal monitoring but with carcasses potentially discovered incidentally by operations and maintenance crews in their normal course of activity or otherwise discovered outside the formal searches. We refer to carcasses discovered incidentally as “incidentals” and define \uD835\uDC65\uD835\uDC56 as the count of incidentals. Similarly, we define \uD835\uDC65\uD835\uDC60 as the number of carcasses found during the formal searches conducted the first year.

","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20201027","usgsCitation":"Dalthorp, Daniel, Rabie, Paul, Huso, Manuela, and Tredennick, Andrew, 2020, Some approaches to accounting for incidental carcass discoveries in non-monitored years using the Evidence of Absence model: U.S. Geological Survey Open-File Report 2020-1027, 24 p., https://doi.org/10.3133/ofr20201027.","productDescription":"iv, 22 p.","onlineOnly":"Y","ipdsId":"IP-114583","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":373890,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2020/1027/ofr20201027.pdf","text":"Report","size":"2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2020-1027"},{"id":373889,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2020/1027/coverthb.jpg"}],"contact":"

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

","tableOfContents":"","publishedDate":"2020-04-13","noUsgsAuthors":false,"publicationDate":"2020-04-13","publicationStatus":"PW","contributors":{"authors":[{"text":"Dalthorp, Daniel 0000-0002-4815-6309 ddalthorp@usgs.gov","orcid":"https://orcid.org/0000-0002-4815-6309","contributorId":4902,"corporation":false,"usgs":true,"family":"Dalthorp","given":"Daniel","email":"ddalthorp@usgs.gov","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":786721,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rabie, Paul","contributorId":117423,"corporation":false,"usgs":false,"family":"Rabie","given":"Paul","affiliations":[],"preferred":false,"id":786722,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huso, Manuela 0000-0003-4687-6625 mhuso@usgs.gov","orcid":"https://orcid.org/0000-0003-4687-6625","contributorId":223969,"corporation":false,"usgs":true,"family":"Huso","given":"Manuela","email":"mhuso@usgs.gov","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true}],"preferred":true,"id":786723,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Tredennick, Andrew","contributorId":223964,"corporation":false,"usgs":false,"family":"Tredennick","given":"Andrew","affiliations":[{"id":18962,"text":"Dept. of Wildland Resources and the Ecology Center, Utah State University, Logan, UT","active":true,"usgs":false}],"preferred":false,"id":786724,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70219427,"text":"70219427 - 2020 - Monazite and cassiterite Usingle bondPb dating of the Abu Dabbab rare-metal granite, Egypt: Late Cryogenian metalliferous granite magmatism in the Arabian-Nubian Shield","interactions":[],"lastModifiedDate":"2021-04-05T13:13:10.95373","indexId":"70219427","displayToPublicDate":"2020-04-13T08:11:11","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1848,"text":"Gondwana Research","active":true,"publicationSubtype":{"id":10}},"title":"Monazite and cassiterite Usingle bondPb dating of the Abu Dabbab rare-metal granite, Egypt: Late Cryogenian metalliferous granite magmatism in the Arabian-Nubian Shield","docAbstract":"

The Abu Dabbab rare-metal granite in the Eastern Desert of Egypt is a highly-evolved alkali-feldspar granite with transitional magmatic-hydrothermal features. Extreme geochemical fractionation and the associated significant Ta\"singleSn resource make the Abu Dabbab intrusion an important feature in the metallogenic evolution of the Arabian-Nubian Shield. U\"singlePb dating by laser ablation sector field (SF)-ICPMS analysis of igneous monazite yields a Concordia age of 644.7 ± 2.3 Ma, identical within uncertainty to a lower intercept Tera-Wasserburg isochron age of 644.2 ± 2.3 Ma obtained from hydrothermal cassiterite. Both ages place tight constraints on the timing of magmatic-hydrothermal processes in the Abu Dabbab granite which represents the oldest highly-evolved granite recognized so far in the Pan-African Arabian-Nubian Shield. Thus, the new ages also date the start of a period of late-orogenic metalliferous granite magmatism, when the basement of the Eastern Desert underwent a geodynamic transition from a compressive subduction-collision regime towards orogenic collapse in the late Cryogenian.

","language":"English","publisher":"Elsevier","doi":"10.1016/j.gr.2020.03.001","usgsCitation":"Lehmann, B., Zoheir, B., Neymark, L., Zeh, A., Emam, A., Radwan, A., Zhang, R., and Moscati, R.J., 2020, Monazite and cassiterite Usingle bondPb dating of the Abu Dabbab rare-metal granite, Egypt: Late Cryogenian metalliferous granite magmatism in the Arabian-Nubian Shield: Gondwana Research, v. 84, p. 71-80, https://doi.org/10.1016/j.gr.2020.03.001.","productDescription":"10 p.","startPage":"71","endPage":"80","ipdsId":"IP-116877","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true},{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":437025,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9JGODO2","text":"USGS data release","linkHelpText":"U-Pb data for: Monazite and cassiterite U-Pb dating of the Abu Dabbab rare-metal granite, Egypt: Late Cryogenian metalliferous granite magmatism in the Arabian-Nubian Shield"},{"id":384868,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Egypt","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[34.9226,29.50133],[34.64174,29.09942],[34.42655,28.34399],[34.15451,27.8233],[33.92136,27.6487],[33.58811,27.97136],[33.13676,28.41765],[32.42323,29.85108],[32.32046,29.76043],[32.73482,28.70523],[33.34876,27.69989],[34.10455,26.14227],[34.47387,25.59856],[34.79507,25.03375],[35.69241,23.92671],[35.49372,23.75237],[35.52598,23.10244],[36.69069,22.20485],[36.86623,22],[32.9,22],[29.02,22],[25,22],[25,25.6825],[25,29.23865],[24.70007,30.04419],[24.95762,30.6616],[24.80287,31.08929],[25.16482,31.56915],[26.49533,31.58568],[27.45762,31.32126],[28.45048,31.02577],[28.91353,30.87005],[29.68342,31.18686],[30.09503,31.4734],[30.97693,31.55586],[31.68796,31.4296],[31.96041,30.9336],[32.19247,31.26034],[32.99392,31.02407],[33.7734,30.96746],[34.26544,31.21936],[34.9226,29.50133]]]},\"properties\":{\"name\":\"Egypt\"}}]}","volume":"84","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lehmann, Bernd 0000-0003-0762-6543","orcid":"https://orcid.org/0000-0003-0762-6543","contributorId":256943,"corporation":false,"usgs":false,"family":"Lehmann","given":"Bernd","email":"","affiliations":[{"id":51909,"text":"Technical University of Clausthal","active":true,"usgs":false}],"preferred":false,"id":813515,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zoheir, Basem 0000-0003-1792-9134","orcid":"https://orcid.org/0000-0003-1792-9134","contributorId":256944,"corporation":false,"usgs":false,"family":"Zoheir","given":"Basem","email":"","affiliations":[{"id":51910,"text":"Benha University","active":true,"usgs":false}],"preferred":false,"id":813516,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neymark, Leonid A. 0000-0003-4190-0278 lneymark@usgs.gov","orcid":"https://orcid.org/0000-0003-4190-0278","contributorId":140338,"corporation":false,"usgs":true,"family":"Neymark","given":"Leonid A.","email":"lneymark@usgs.gov","affiliations":[{"id":171,"text":"Central 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University","active":true,"usgs":false}],"preferred":false,"id":813519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Radwan, Abdelhady","contributorId":256947,"corporation":false,"usgs":false,"family":"Radwan","given":"Abdelhady","email":"","affiliations":[{"id":51912,"text":"Aswan University","active":true,"usgs":false}],"preferred":false,"id":813520,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Zhang, Rongqing 0000-0002-5145-1595","orcid":"https://orcid.org/0000-0002-5145-1595","contributorId":256948,"corporation":false,"usgs":false,"family":"Zhang","given":"Rongqing","email":"","affiliations":[{"id":51913,"text":"Nanjing University","active":true,"usgs":false}],"preferred":false,"id":813521,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Moscati, Richard J. 0000-0002-0818-4401 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Causes and consequences of zero-flow stream gage readings","interactions":[],"lastModifiedDate":"2020-06-09T12:18:02.959693","indexId":"70210544","displayToPublicDate":"2020-04-13T07:14:30","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5067,"text":"WIREs Water","active":true,"publicationSubtype":{"id":10}},"title":"Zero or not? Causes and consequences of zero-flow stream gage readings","docAbstract":"

Streamflow observations can be used to understand, predict, and contextualize hydrologic, ecological, and biogeochemical processes and conditions in streams. Stream gages are point measurements along rivers where streamflow is measured, and are often used to infer upstream watershed‐scale processes. When stream gages read zero, this may indicate that the stream has dried at this location; however, zero‐flow readings can also be caused by a wide range of other factors. Our ability to identify whether or not a zero‐flow gage reading indicates a dry fluvial system has far reaching environmental implications. Incorrect identification and interpretation by the data user can lead to inaccurate hydrologic, ecological, and/or biogeochemical predictions from models and analyses. Here, we describe several causes of zero‐flow gage readings: frozen surface water, flow reversals, instrument error, and natural or human‐driven upstream source losses or bypass flow. For these examples, we discuss the implications of zero‐flow interpretations. We also highlight additional methods for determining flow presence, including direct observations, statistical methods, and hydrologic models, which can be applied to interpret causes of zero‐flow gage readings and implications for reach‐ and watershed‐scale dynamics. Such efforts are necessary to improve our ability to understand and predict surface flow activation, cessation, and connectivity across river networks. Developing this integrated understanding of the wide range of possible meanings of zero‐flows will only attain greater importance in a more variable and changing hydrologic climate.

","language":"English","publisher":"Wiley","doi":"10.1002/wat2.1436","usgsCitation":"Zimmer, M., Kaiser, K.E., Blaszczak, J., Zipper, S., Hammond, J., Fritz, K.M., Costigan, K., Hosen, J.D., Godsey, S., Allen, G.H., Kampf, S.K., Burrow, R., Krabbenhoft, C., Dodds, W., Hale, R., Olden, J., Shanafield, M., DelVecchia, A., Ward, A.S., Mims, M.C., Datry, T., Bogan, M.A., Boersma, K., Busch, M., Jones, N.M., Burgin, A., and Allen, D., 2020, Zero or not? Causes and consequences of zero-flow stream gage readings: WIREs Water, v. 7, no. 3, e1436, 25 p., https://doi.org/10.1002/wat2.1436.","productDescription":"e1436, 25 p.","ipdsId":"IP-112480","costCenters":[{"id":374,"text":"Maryland Water Science Center","active":true,"usgs":true}],"links":[{"id":457103,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1002/wat2.1436","text":"External Repository"},{"id":437027,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9R84W5K","text":"USGS data release","linkHelpText":"Contiguous US and Global streamflow gages measuring zero flow"},{"id":437026,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9AB3KL9","text":"USGS data release","linkHelpText":"Sub-annual streamflow responses to rainfall and snowmelt inputs in snow-dominated watersheds of the western 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0000-0003-0570-988X","orcid":"https://orcid.org/0000-0003-0570-988X","contributorId":209951,"corporation":false,"usgs":false,"family":"Mims","given":"Meryl","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":790599,"contributorType":{"id":1,"text":"Authors"},"rank":20},{"text":"Datry, Thibault 0000-0003-1390-6736","orcid":"https://orcid.org/0000-0003-1390-6736","contributorId":225166,"corporation":false,"usgs":false,"family":"Datry","given":"Thibault","email":"","affiliations":[{"id":41062,"text":"Centre de Lyon-Villeurbanne, 69626 Villeurbanne CEDEX, France","active":true,"usgs":false}],"preferred":false,"id":790600,"contributorType":{"id":1,"text":"Authors"},"rank":21},{"text":"Bogan, Michael A.","contributorId":196745,"corporation":false,"usgs":false,"family":"Bogan","given":"Michael","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":790601,"contributorType":{"id":1,"text":"Authors"},"rank":22},{"text":"Boersma, Kate 0000-0002-0707-3283","orcid":"https://orcid.org/0000-0002-0707-3283","contributorId":225167,"corporation":false,"usgs":false,"family":"Boersma","given":"Kate","email":"","affiliations":[{"id":41063,"text":"Department of Biology, University of San Diego, San Diego, CA 92105, USA","active":true,"usgs":false}],"preferred":false,"id":790602,"contributorType":{"id":1,"text":"Authors"},"rank":23},{"text":"Busch, Michelle 0000-0003-4536-3000","orcid":"https://orcid.org/0000-0003-4536-3000","contributorId":225168,"corporation":false,"usgs":false,"family":"Busch","given":"Michelle","email":"","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":790603,"contributorType":{"id":1,"text":"Authors"},"rank":24},{"text":"Jones, Nathan M.","contributorId":177996,"corporation":false,"usgs":false,"family":"Jones","given":"Nathan","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":790604,"contributorType":{"id":1,"text":"Authors"},"rank":25},{"text":"Burgin, Amy","contributorId":140223,"corporation":false,"usgs":false,"family":"Burgin","given":"Amy","email":"","affiliations":[{"id":13420,"text":"Wright State Univ.","active":true,"usgs":false}],"preferred":false,"id":790605,"contributorType":{"id":1,"text":"Authors"},"rank":26},{"text":"Allen, Daniel C. 0000-0002-0451-0564","orcid":"https://orcid.org/0000-0002-0451-0564","contributorId":225169,"corporation":false,"usgs":false,"family":"Allen","given":"Daniel","middleInitial":"C.","affiliations":[{"id":41064,"text":"Department of Biology, University of Oklahoma, Norman OK, 73019","active":true,"usgs":false}],"preferred":false,"id":790606,"contributorType":{"id":1,"text":"Authors"},"rank":27}]}} ,{"id":70219495,"text":"70219495 - 2020 - Synthesis of weed-suppressive bacteria studies in rangelands of the Western United States: Special section of articles in Rangeland Ecology and Management provides no evidence of effectiveness","interactions":[],"lastModifiedDate":"2021-04-12T11:43:09.928113","indexId":"70219495","displayToPublicDate":"2020-04-13T06:36:44","publicationYear":"2020","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3228,"text":"Rangeland Ecology and Management","onlineIssn":"1551-5028","printIssn":"1550-7424","active":true,"publicationSubtype":{"id":10}},"title":"Synthesis of weed-suppressive bacteria studies in rangelands of the Western United States: Special section of articles in Rangeland Ecology and Management provides no evidence of effectiveness","docAbstract":"

No abstract available. 

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