Using a geology-based assessment methodology, the U.S. Geological Survey estimated mean undiscovered, technically recoverable resources of 49 million barrels of oil and 18 billion cubic feet of gas in the onshore and State waters part of the South Florida basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20183074","usgsCitation":"Roberts-Ashby, T.L., Hackley, P.C., Lohr, C.D., Schenk, C.J., Mercier, T.J., Whidden, K.J., Le, P.A., Tennyson, M.E., Gaswirth, S.B., Woodall, C.A., Brownfield, M.E., Leathers-Miller, H.M., Marra, K.R., and Finn, T.M., 2019, Assessment of undiscovered oil and gas resources in the South Florida basin, 2016: U.S. Geological Survey Fact Sheet 2018–3074, 4 p., https://doi.org/10.3133/fs20183074.","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-092946","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":360692,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2018/3074/fs20183074.pdf","text":" Report","size":"3.14 MB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2018-3074"},{"id":360691,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2018/3074/coverthb.jpg"},{"id":360693,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9M4VGL9","text":"USGS Data Release","linkHelpText":"USGS Gulf Coast Petroleum Systems, and National and Global Oil and Gas Assessment Projects - USGS Province 50 Assessment Unit Boundaries and Assessment Input Forms"}],"country":"United States","otherGeospatial":"South Florida Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -83.12,\n 24.38\n ],\n [\n -79.95,\n 24.38\n ],\n [\n -79.95,\n 28.2\n ],\n [\n -83.12,\n 28.2\n ],\n [\n -83.12,\n 24.38\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
Prehistoric climate and landscape features play large roles structuring wildlife populations. The amphibians of the northern Great Plains of North America present an opportunity to investigate how these factors affect colonization, migration, and current population genetic structure. This study used 11 microsatellite loci to genotype 1,230 northern leopard frogs (Rana pipiens) from 41 wetlands (30 samples/wetland) across North Dakota. Genetic structure of the sampled frogs was evaluated using Bayesian and multivariate clustering methods. All analyses produced concordant results, identifying a major east–west split between two R. pipiens population clusters separated by the Missouri River. Substructuring within the two major identified population clusters was also found. Spatial principal component analysis (sPCA) and variance partitioning analysis identified distance, river basins, and the Missouri River as the most important landscape factors differentiating R. pipiens populations across the state. Bayesian reconstruction of coalescence times suggested the major east–west split occurred ~13–18 kya during a period of glacial retreat in the northern Great Plains and substructuring largely occurred ~5–11 kya during a period of extreme drought cycles. A range‐wide species distribution model (SDM) for R. pipiens was developed and applied to prehistoric climate conditions during the Last Glacial Maximum (21 kya) and the mid‐Holocene (6 kya) from the CCSM4 climate model to identify potential refugia. The SDM indicated potential refugia existed in South Dakota or further south in Nebraska. The ancestral populations of R. pipiens in North Dakota may have inhabited these refugia, but more sampling outside the state is needed to reconstruct the route of colonization. Using microsatellite genotype data, this study determined that colonization from glacial refugia, drought dynamics in the northern Great Plains, and major rivers acting as barriers to gene flow were the defining forces shaping the regional population structure of R. pipiens in North Dakota.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.4745","usgsCitation":"Waraniak, J.M., Fisher, J., Purcell, K., Mushet, D.M., and Stockwell, C.A., 2019, Landscape genetics reveal broad and fine‐scale population structure due to landscape features and climate history in the northern leopard frog (Rana pipiens) in North Dakota: Ecology and Evolution, v. 9, no. 3, p. 1041-1060, https://doi.org/10.1002/ece3.4745.","productDescription":"20 p.","startPage":"1041","endPage":"1060","ipdsId":"IP-098834","costCenters":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467975,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.4745","text":"Publisher Index Page"},{"id":360742,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"North Dakota","volume":"9","issue":"3","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2019-01-15","publicationStatus":"PW","scienceBaseUri":"5c5022c2e4b0708288f7e7e7","contributors":{"authors":[{"text":"Waraniak, Justin M.","contributorId":211882,"corporation":false,"usgs":false,"family":"Waraniak","given":"Justin","email":"","middleInitial":"M.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":755121,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fisher, Justin D. L.","contributorId":211883,"corporation":false,"usgs":false,"family":"Fisher","given":"Justin D. L.","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":755122,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Purcell, Kevin","contributorId":211884,"corporation":false,"usgs":false,"family":"Purcell","given":"Kevin","affiliations":[{"id":12471,"text":"North Dakota State University","active":true,"usgs":false}],"preferred":false,"id":755123,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mushet, David M. 0000-0002-5910-2744 dmushet@usgs.gov","orcid":"https://orcid.org/0000-0002-5910-2744","contributorId":1299,"corporation":false,"usgs":true,"family":"Mushet","given":"David","email":"dmushet@usgs.gov","middleInitial":"M.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":755120,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Stockwell, Craig A.","contributorId":194252,"corporation":false,"usgs":false,"family":"Stockwell","given":"Craig","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":755124,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201724,"text":"70201724 - 2019 - Allowable take of black vultures in the eastern United States","interactions":[],"lastModifiedDate":"2019-01-28T11:14:15","indexId":"70201724","displayToPublicDate":"2019-01-28T11:14:08","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Allowable take of black vultures in the eastern United States","docAbstract":"Black vultures (Coragyps atratus) have been increasing in density and expanding their range in the eastern United States since at least the 1960s. In many areas, their densities have increased to the level where they are causing damage to property and livestock and the number of requests for allowable take permits has increased throughout these areas. The United States Fish and Wildlife Service (USFWS) requires updated information to help inform the number of take permits that could reduce conflicts while meeting obligations under the Migratory Bird Treaty Act. We expanded analyses used to estimate allowable take in Virginia to cover the range of black vultures in the eastern United States. We used the prescribed take level approach, which integrates demographic rates, population size estimates, and management objectives into an estimate of allowable take. We provide estimates of allowable take at 4 different scales: individual states, Bird Conservation Regions, USFWS administrative regions, and flyways. Our updated population time series provides evidence of rapidly increasing black vulture populations in many regions of the eastern United States, with an overall population estimate of approximately 4.26 million in 2015 in the Atlantic and Mississippi Flyways. Estimated allowable take ranged from a few hundred individuals per year in states at the northern end of the species range to approximately 287,000/year over the entire eastern United States. The USFWS has no legal mandate regarding the spatial scale at which take should be managed and we found little biological evidence of subpopulation structure for black vultures in the eastern United States. We suggest that allowable take for the species be implemented at a scale that meets stakeholder objectives (e.g., reducing conflict, and ensuring that black vultures are not extirpated from local areas) and is efficient for administrative and monitoring purposes.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21608","usgsCitation":"Zimmerman, G.S., Millsap, B.A., Avery, M.L., Sauer, J.R., Runge, M.C., and Richkus, K.D., 2019, Allowable take of black vultures in the eastern United States: Journal of Wildlife Management, v. 83, no. 2, p. 272-282, https://doi.org/10.1002/jwmg.21608.","productDescription":"11 p.","startPage":"272","endPage":"282","ipdsId":"IP-098107","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":360719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"83","issue":"2","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-12-18","publicationStatus":"PW","scienceBaseUri":"5c5022c3e4b0708288f7e7fe","contributors":{"authors":[{"text":"Zimmerman, Guthrie S.","contributorId":42473,"corporation":false,"usgs":false,"family":"Zimmerman","given":"Guthrie","email":"","middleInitial":"S.","affiliations":[{"id":6661,"text":"US Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":755022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Millsap, Brian A.","contributorId":205391,"corporation":false,"usgs":false,"family":"Millsap","given":"Brian","email":"","middleInitial":"A.","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":755023,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Avery, Michael L.","contributorId":211841,"corporation":false,"usgs":false,"family":"Avery","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":755024,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sauer, John R. 0000-0002-4557-3019 jrsauer@usgs.gov","orcid":"https://orcid.org/0000-0002-4557-3019","contributorId":146917,"corporation":false,"usgs":true,"family":"Sauer","given":"John","email":"jrsauer@usgs.gov","middleInitial":"R.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":755021,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Runge, Michael C. 0000-0002-8081-536X mrunge@usgs.gov","orcid":"https://orcid.org/0000-0002-8081-536X","contributorId":3358,"corporation":false,"usgs":true,"family":"Runge","given":"Michael","email":"mrunge@usgs.gov","middleInitial":"C.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":755025,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Richkus, Kenneth D.","contributorId":34428,"corporation":false,"usgs":true,"family":"Richkus","given":"Kenneth","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":755026,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203484,"text":"70203484 - 2019 - The 2018 rift eruption and summit collapse of Kilauea Volcano","interactions":[],"lastModifiedDate":"2021-10-26T15:58:24.187026","indexId":"70203484","displayToPublicDate":"2019-01-25T09:27:51","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3338,"text":"Science","active":true,"publicationSubtype":{"id":10}},"title":"The 2018 rift eruption and summit collapse of Kilauea Volcano","docAbstract":"In 2018, Kīlauea Volcano experienced its largest lower East Rift Zone (LERZ) eruption and caldera collapse in at least 200 years. After collapse of the Pu'u 'Ō'ō vent on 30 April, magma propagated downrift. Eruptive fissures opened in the LERZ on 3 May, eventually extending ~6.8 km. A 4 May earthquake (M6.9) produced ~5 m of fault slip. Lava erupted at rates exceeding 100 m3/s, eventually covering 35.5 km2. The summit magma system partially drained, producing minor explosions and near-daily collapses releasing energy equivalent to M4.7-M5.4 earthquakes. Activity declined rapidly on 4 August. Summit collapse and lava flow volume estimates are roughly equivalent--about 0.8 km3. Careful historical observation and monitoring of Kīlauea enabled successful forecasting of hazardous events.","language":"English","publisher":"American Association for the Advancement of Science","doi":"10.1126/science.aav7046","usgsCitation":"Neal, C.A., Brantley, S., Antolik, L., Babb, J., Burgess, M.K., Cappos, M., Chang, J., Conway, S., Desmither, L.G., Dotray, P., Elias, T., Fukunaga, P., Fuke, S., Johanson, I.A., Kamibayashi, K., Kauahikaua, J.P., Lee, R., Pekalib, S., Miklius, A., Shiro, B., Swanson, D., Nadeau, P.A., Zoeller, M.H., Okubo, P., Parcheta, C., Patrick, M.R., Tollett, W., Trusdell, F., Younger, E.F., Montgomery-Brown, E.K., Anderson, K.R., Poland, M.P., Ball, J.L., Bard, J., Coombs, M.L., Dietterich, H., Kern, C., Thelen, W., Cervelli, P., Orr, T.R., Houghton, B.F., Gansecki, C., Hazlett, R., Lundgren, P., Diefenbach, A., Lerner, A., Waite, G., Kelly, P.J., Clor, L., Werner, C., Mulliken, K., Fisher, G.B., and Damby, D., 2019, The 2018 rift eruption and summit collapse of Kilauea Volcano: Science, v. 363, no. 6425, p. 367-374, https://doi.org/10.1126/science.aav7046.","productDescription":"8 p.","startPage":"367","endPage":"374","ipdsId":"IP-100772","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":364001,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","otherGeospatial":"Kilauea Volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.31646728515625,\n 19.263507501734075\n ],\n [\n -155.03562927246094,\n 19.263507501734075\n ],\n [\n -155.03562927246094,\n 19.46432633709043\n ],\n [\n -155.31646728515625,\n 19.46432633709043\n ],\n [\n -155.31646728515625,\n 19.263507501734075\n ]\n ]\n ]\n }\n }\n 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Oregon","active":true,"usgs":false}],"preferred":false,"id":762847,"contributorType":{"id":1,"text":"Authors"},"rank":46},{"text":"Waite, Greg 0000-0002-7092-8125","orcid":"https://orcid.org/0000-0002-7092-8125","contributorId":215624,"corporation":false,"usgs":false,"family":"Waite","given":"Greg","email":"","affiliations":[{"id":36614,"text":"Michigan Tech","active":true,"usgs":false}],"preferred":false,"id":762848,"contributorType":{"id":1,"text":"Authors"},"rank":47},{"text":"Kelly, Peter J. 0000-0002-3868-1046 pkelly@usgs.gov","orcid":"https://orcid.org/0000-0002-3868-1046","contributorId":5931,"corporation":false,"usgs":true,"family":"Kelly","given":"Peter","email":"pkelly@usgs.gov","middleInitial":"J.","affiliations":[{"id":114,"text":"Alaska Science Center","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":762849,"contributorType":{"id":1,"text":"Authors"},"rank":48},{"text":"Clor, Laura E. 0000-0003-2633-5100","orcid":"https://orcid.org/0000-0003-2633-5100","contributorId":209969,"corporation":false,"usgs":true,"family":"Clor","given":"Laura E.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":762850,"contributorType":{"id":1,"text":"Authors"},"rank":49},{"text":"Werner, Cynthia","contributorId":184068,"corporation":false,"usgs":false,"family":"Werner","given":"Cynthia","affiliations":[],"preferred":false,"id":762851,"contributorType":{"id":1,"text":"Authors"},"rank":50},{"text":"Mulliken, Katherine","contributorId":215626,"corporation":false,"usgs":false,"family":"Mulliken","given":"Katherine","affiliations":[{"id":39296,"text":"Alaska State Geological Survey","active":true,"usgs":false}],"preferred":false,"id":762853,"contributorType":{"id":1,"text":"Authors"},"rank":51},{"text":"Fisher, Gary B. 0000-0001-8777-0216 gtfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-8777-0216","contributorId":215627,"corporation":false,"usgs":true,"family":"Fisher","given":"Gary","email":"gtfisher@usgs.gov","middleInitial":"B.","affiliations":[{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"preferred":true,"id":762854,"contributorType":{"id":1,"text":"Authors"},"rank":52},{"text":"Damby, David 0000-0002-3238-3961 ddamby@usgs.gov","orcid":"https://orcid.org/0000-0002-3238-3961","contributorId":177453,"corporation":false,"usgs":true,"family":"Damby","given":"David","email":"ddamby@usgs.gov","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":825751,"contributorType":{"id":1,"text":"Authors"},"rank":53}]}} ,{"id":70215986,"text":"70215986 - 2019 - Fire legacies in eastern ponderosa pine forests","interactions":[],"lastModifiedDate":"2020-11-03T13:59:00.469885","indexId":"70215986","displayToPublicDate":"2019-01-16T07:49:53","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Fire legacies in eastern ponderosa pine forests","docAbstract":"Disturbance legacies structure communities and ecological memory, but due to increasing changes in disturbance regimes, it is becoming more difficult to characterize disturbance legacies or determine how long they persist. We sought to quantify the characteristics and persistence of material legacies (e.g., biotic residuals of disturbance) that arise from variation in fire severity in an eastern ponderosa pine forest in North America. We compared forest stand structure and understory woody plant and bird community composition and species richness across unburned, low‐, moderate‐, and high‐severity burn patches in a 27‐year‐old mixed‐severity wildfire that had received minimal post‐fire management. We identified distinct tree densities (high: 14.3 ± 7.4 trees per ha, moderate: 22.3 ± 12.6, low: 135.3 ± 57.1, unburned: 907.9 ± 246.2) and coarse woody debris cover (high: 8.5 ± 1.6% cover per 30 m transect, moderate: 4.3 ± 0.7, low: 2.3 ± 0.6, unburned: 1.0 ± 0.4) among burn severities. Understory woody plant communities differed between high‐severity patches, moderate‐ and low‐severity patches, and unburned patches (all p < 0.05). Bird communities differed between high‐ and moderate‐severity patches, low‐severity patches, and unburned patches (all p < 0.05). Bird species richness varied across burn severities: low‐severity patches had the highest (5.29 ± 1.44) and high‐severity patches had the lowest (2.87 ± 0.72). Understory woody plant richness was highest in unburned (5.93 ± 1.10) and high‐severity (5.07 ± 1.17) patches, and it was lower in moderate‐ (3.43 ± 1.17) and low‐severity (3.43 ± 1.06) patches. We show material fire legacies persisted decades after the mixed‐severity wildfire in eastern ponderosa forest, fostering distinct structures, communities, and species in burned versus unburned patches and across fire severities. At a patch scale, eastern and western ponderosa system responses to mixed‐severity fires were consistent.
Tephra from the early Hawaiian fountaining episodes of the ongoing eruption of Pu'u 'Ō'ō in the East Rift Zone (ERZ) of Kīlauea provides an opportunity to study the vesicle microtextures of pyroclasts erupted from a single vent over a prolonged period of time. We report the results of microtextural analysis of pyroclasts from five of Pu'u 'Ō'ō's high (>200 m) Hawaiian fountaining episodes (episodes 32, 37, 40, 44 and 45) erupted during 1985–1986. This analysis was carried out to constrain the parameters that led to large variations in fountain height at Pu'u 'Ō'o, and the extent to which pyroclast residence times in the fountain modified microtextures. Our results confirm the finding of Stovall et al., 2011, Stovall et al., 2012 that pyroclasts from a single Hawaiian fountain can vary greatly in texture (from bubbly to foamy), and have vesicle volume densities (Nmv) and vesicle to melt ratios (VG/VL) that vary by an order of magnitude. This range in vesicle texture and population is due to extensive growth and coalescence of vesicles within the fountain after fragmentation. Only one pyroclast from four of five episodes was found to have textures interpreted as indicative of the vesicle population near the moment of fragmentation: bubbly texture, high density (typically >500 kg m−3), high Nmv (2.2 × 106 to 4.4 × 106), and low VG/VL of 2.06 to 4.65. We demonstrate a linear correlation between Δ(VG/VL) and peak fountain height across a range of Hawaiian fountains from Kilauea. This correlation could be used to infer peak heights of unobserved Hawaiian fountaining eruptions after further testing using well-recorded events.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jvolgeores.2018.11.011","usgsCitation":"Holt, S.J., Carey, R.J., Houghton, B.F., Orr, T.R., McPhie, J., and Feig, S., 2019, Eruption and fountaining dynamics of selected 1985–1986 high fountaining episodes at Kīlauea volcano, Hawai'i, from quantitative vesicle microtexture analysis: Journal of Volcanology and Geothermal Research, v. 369, p. 21-34, https://doi.org/10.1016/j.jvolgeores.2018.11.011.","productDescription":"14 p.","startPage":"21","endPage":"34","ipdsId":"IP-093103","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":460531,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.jvolgeores.2018.11.011","text":"Publisher Index Page"},{"id":360795,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kīlauea volcano","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -155.31646728515625,\n 19.263507501734075\n ],\n [\n -155.03562927246094,\n 19.263507501734075\n ],\n [\n -155.03562927246094,\n 19.46432633709043\n ],\n [\n -155.31646728515625,\n 19.46432633709043\n ],\n [\n -155.31646728515625,\n 19.263507501734075\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"369","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Holt, S. J.","contributorId":211902,"corporation":false,"usgs":false,"family":"Holt","given":"S.","email":"","middleInitial":"J.","affiliations":[{"id":38349,"text":"University of Tasmania, Australia","active":true,"usgs":false}],"preferred":false,"id":755183,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carey, R. J. 0000-0003-2015-6419","orcid":"https://orcid.org/0000-0003-2015-6419","contributorId":211903,"corporation":false,"usgs":false,"family":"Carey","given":"R.","email":"","middleInitial":"J.","affiliations":[{"id":38349,"text":"University of Tasmania, Australia","active":true,"usgs":false}],"preferred":false,"id":755184,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Houghton, B. F.","contributorId":211904,"corporation":false,"usgs":false,"family":"Houghton","given":"B.","email":"","middleInitial":"F.","affiliations":[{"id":38350,"text":"University of Hawaii at Manoa, USA","active":true,"usgs":false}],"preferred":false,"id":755185,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Orr, Tim R. 0000-0003-1157-7588 torr@usgs.gov","orcid":"https://orcid.org/0000-0003-1157-7588","contributorId":149803,"corporation":false,"usgs":true,"family":"Orr","given":"Tim","email":"torr@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":755182,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McPhie, J.","contributorId":211905,"corporation":false,"usgs":false,"family":"McPhie","given":"J.","affiliations":[{"id":38349,"text":"University of Tasmania, Australia","active":true,"usgs":false}],"preferred":false,"id":755186,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Feig, S.","contributorId":211906,"corporation":false,"usgs":false,"family":"Feig","given":"S.","email":"","affiliations":[{"id":38349,"text":"University of Tasmania, Australia","active":true,"usgs":false}],"preferred":false,"id":755187,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70262578,"text":"70262578 - 2019 - Erratics and other evidence of late Wisconsin Missoula outburst floods in lower Wenatchee and Columbia valleys, Washington","interactions":[],"lastModifiedDate":"2025-01-21T18:22:01.632114","indexId":"70262578","displayToPublicDate":"2019-01-01T11:58:14","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2900,"text":"Northwest Science","onlineIssn":"2161-9859","printIssn":"0029-344X","active":true,"publicationSubtype":{"id":10}},"title":"Erratics and other evidence of late Wisconsin Missoula outburst floods in lower Wenatchee and Columbia valleys, Washington","docAbstract":"The Pleistocene Missoula floods through eastern and central Washington are by peak flow rate (discharge) the greatest freshwater cataclysms known on Earth. Newly explored features along the Wenatchee reach of Columbia valley give new evidence and revise earlier interpretations of size, frequency, and routing of megafloods.
Crystalline-rock erratics derived far northeast lie scattered about the sandstone hills of lower Wenatchee valley and adjacent Columbia valley up to 495 m altitude, 320 m above Columbia River. They can only have been ice-rafted by flood(s) running down the Columbia. Before the late Wisconsin Okanogan lobe of Cordilleran ice blocked the Columbia, at least one monstrous Missoula flood poured down the valley past Wenatchee and backflooded Wenatchee valley.
Rhythmically bedded sandy silt in Columbia valley between Trinidad and Wenatchee records repeated silt-rich backfloods up the Columbia from Quincy basin—after Okanogan-lobe ice had blocked the Columbia upvalley. Rhythmically graded silt beds in Wenatchee valley at Dryden containing Columbia-derived dropstones record ten Missoula backfloods up the valley.
Thick silt farther up Wenatchee valley between Peshastin and Leavenworth had been thought deposits of a long-lived lake, dammed supposedly by the Malaga landslide. But the heights and distribution of provable lake beds now make Moses Coulee bar the only viable dam—and only up to altitude 275 m. The silt above Dryden lying at 315–385 m altitude must also have been laid by Missoula floods.
","language":"English","publisher":"Northwest Scientific Association (NWSA)","doi":"https://doi.org/10.3955/046.092.0503","usgsCitation":"Waitt, R.B., Long, W., and Stanton, K.M., 2019, Erratics and other evidence of late Wisconsin Missoula outburst floods in lower Wenatchee and Columbia valleys, Washington: Northwest Science, v. 92, no. 5, p. 318-337, https://doi.org/https://doi.org/10.3955/046.092.0503.","productDescription":"20 p.","startPage":"318","endPage":"337","ipdsId":"IP-092834","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":481107,"rank":2,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.3955/046.092.0503","text":"Publisher Index Page"},{"id":480850,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","otherGeospatial":"Columbia River","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -111.67315675479762,\n 51.24819817380177\n ],\n [\n -126.99575275913864,\n 51.24819817380177\n ],\n [\n -126.99575275913864,\n 43.82459813975919\n ],\n [\n -111.67315675479762,\n 43.82459813975919\n ],\n [\n -111.67315675479762,\n 51.24819817380177\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","volume":"92","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Waitt, Richard B. 0000-0002-6392-5604 waitt@usgs.gov","orcid":"https://orcid.org/0000-0002-6392-5604","contributorId":2343,"corporation":false,"usgs":true,"family":"Waitt","given":"Richard","email":"waitt@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":924603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Long, William","contributorId":242920,"corporation":false,"usgs":false,"family":"Long","given":"William","affiliations":[{"id":48582,"text":"(deceased)","active":true,"usgs":false}],"preferred":false,"id":924604,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanton, Kelsay M.","contributorId":242919,"corporation":false,"usgs":false,"family":"Stanton","given":"Kelsay","email":"","middleInitial":"M.","affiliations":[{"id":48581,"text":"Wenatchee Valley College","active":true,"usgs":false}],"preferred":false,"id":924605,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70216093,"text":"70216093 - 2019 - Relationships between wildfire burn severity, cavity-nesting bird assemblages and habitat in an eastern ponderosa pine forest","interactions":[],"lastModifiedDate":"2020-11-05T15:05:12.51435","indexId":"70216093","displayToPublicDate":"2019-01-01T08:54:56","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":737,"text":"American Midland Naturalist","active":true,"publicationSubtype":{"id":10}},"title":"Relationships between wildfire burn severity, cavity-nesting bird assemblages and habitat in an eastern ponderosa pine forest","docAbstract":"Historically, eastern ponderosa pine (Pinus ponderosa) forests were described as sparse patches of old-growth trees maintained by frequent, low-severity fires; however, in recent decades, there have been a number of large mixed-severity wildfires throughout the range of these forests. Wildlife responses to severe fire disturbance in eastern ponderosa pine forests are not well understood. Our study investigates how cavity-nesting bird species in an eastern ponderosa pine forest are impacted by burn severity. The objectives of our study were to: (1) identify the community composition of cavity-nesting birds in a 27 y old burn of mixed severity, (2) assess how habitat variables important to cavity-nesting birds differ in the mixed-severity fire, and (3) determine what habitat variables best predict bird occurrence 27 y after mixed-severity fire. We surveyed 56 sites across four burn severity classes, ranging from unburned to severely burned forest, in the Pine Ridge region of Nebraska. We measured multiple habitat characteristics (tree and snag diameter at breast height (DBH), coarse woody debris (CWD), tree and snag density, shrub height, and shrub cover) in May–August 2016 and conducted bird count surveys between 25 May and 8 June 2016. Cavity-nesting bird species' occurrence varied among the burn severity variables. Burn severity class (unburned, low severity, moderate severity, high severity) was a significant predictor of habitat characteristics for cavity-nesting birds, including tree density, snag density, mean snag DBH, variance in DBH, and CWD, which also was the best indicator of cavity-nesting bird community composition. We report evidence that mixed-severity wildfires in eastern ponderosa pine forests create variation in habitat characteristics and cavity-nesting bird occurrence.
","language":"English","publisher":"BioOne","doi":"10.1674/0003-0031-181.1.1","usgsCitation":"Keele, E.C., Donovan, V.M., Roberts, C.P., Nodskov, S.M., Wonkka, C., Allen, C.R., Powell, L., Wedin, D.A., Angeler, D., and Twidwell, D., 2019, Relationships between wildfire burn severity, cavity-nesting bird assemblages and habitat in an eastern ponderosa pine forest: American Midland Naturalist, v. 18, no. 16, p. 1-17, https://doi.org/10.1674/0003-0031-181.1.1.","productDescription":"17 p.","startPage":"1","endPage":"17","ipdsId":"IP-091278","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":380191,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","otherGeospatial":"Fort Robinson State Park, Peterson Wildlife Management Area","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -103.6505126953125,\n 42.63118026854378\n ],\n [\n -103.40229034423828,\n 42.63118026854378\n ],\n [\n -103.40229034423828,\n 42.725325908230396\n ],\n [\n -103.6505126953125,\n 42.725325908230396\n ],\n [\n -103.6505126953125,\n 42.63118026854378\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"18","issue":"16","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Keele, E. 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G.","contributorId":240686,"corporation":false,"usgs":false,"family":"Angeler","given":"D. G.","affiliations":[{"id":12665,"text":"University of Cape Town","active":true,"usgs":false}],"preferred":false,"id":804051,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Twidwell, D.","contributorId":244285,"corporation":false,"usgs":false,"family":"Twidwell","given":"D.","affiliations":[{"id":36892,"text":"University of Nebraska","active":true,"usgs":false}],"preferred":false,"id":804052,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}} ,{"id":70221144,"text":"70221144 - 2019 - Why strategic bird monitoring plan for the Gulf of Mexico?","interactions":[],"lastModifiedDate":"2023-03-21T17:25:51.544776","indexId":"70221144","displayToPublicDate":"2019-01-01T08:31:41","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":3,"text":"Organization Series"},"seriesTitle":{"id":13620,"text":"Mississippi Agricultural and Forestry Experiment Station Research Bulletin","active":true,"publicationSubtype":{"id":3}},"seriesNumber":"1228","chapter":"1","title":"Why strategic bird monitoring plan for the Gulf of Mexico?","docAbstract":"No abstract available.
","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Strategic bird monitoring guidelines for the northern Gulf of Mexico","largerWorkSubtype":{"id":3,"text":"Organization Series"},"language":"English","publisher":"University Press of Mississippi","usgsCitation":"Wilson, R., Woodrey, M.S., Fournier, A., Gleason, J., and Lyons, J.E., 2019, Why strategic bird monitoring plan for the Gulf of Mexico?: Mississippi Agricultural and Forestry Experiment Station Research Bulletin 1228, 14 p.","productDescription":"14 p.","ipdsId":"IP-100639","costCenters":[{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":386178,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":386165,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://gomamn.org/wp-content/uploads/2020/02/chapter1-1.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Alabama, Florida, Louisiana, Mississippi, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.37597656249999,\n 25.443274612305746\n ],\n [\n -82.44140625,\n 29.99300228455108\n ],\n [\n -85.69335937499999,\n 30.90222470517144\n ],\n [\n -88.5498046875,\n 31.353636941500987\n ],\n [\n -91.7138671875,\n 31.052933985705163\n ],\n [\n -94.921875,\n 30.372875188118016\n ],\n [\n -97.1630859375,\n 29.267232865200878\n ],\n [\n -98.7890625,\n 26.31311263768267\n ],\n [\n -97.55859375,\n 25.878994400196202\n ],\n [\n -94.2626953125,\n 24.647017162630366\n ],\n [\n -87.451171875,\n 23.805449612314625\n ],\n [\n -81.9140625,\n 24.246964554300924\n ],\n [\n -80.37597656249999,\n 25.443274612305746\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Wilson, R. Randy","contributorId":259210,"corporation":false,"usgs":false,"family":"Wilson","given":"R. Randy","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":816841,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Woodrey, Mark S.","contributorId":259212,"corporation":false,"usgs":false,"family":"Woodrey","given":"Mark","email":"","middleInitial":"S.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":816842,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Fournier, Auriel M. V.","contributorId":259215,"corporation":false,"usgs":false,"family":"Fournier","given":"Auriel M. V.","affiliations":[{"id":17848,"text":"Mississippi State University","active":true,"usgs":false}],"preferred":false,"id":816843,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gleason, Jeff","contributorId":259216,"corporation":false,"usgs":false,"family":"Gleason","given":"Jeff","email":"","affiliations":[{"id":36188,"text":"U.S. Fish and Wildlife Service","active":true,"usgs":false}],"preferred":false,"id":816844,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lyons, James E. 0000-0002-9810-8751","orcid":"https://orcid.org/0000-0002-9810-8751","contributorId":222844,"corporation":false,"usgs":true,"family":"Lyons","given":"James","email":"","middleInitial":"E.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":816845,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70201642,"text":"70201642 - 2019 - The planktonic foraminiferal response to the Paleocene-Eocene thermal maximum on the Atlantic coastal plain","interactions":[],"lastModifiedDate":"2018-12-19T14:04:10","indexId":"70201642","displayToPublicDate":"2018-12-19T14:04:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2673,"text":"Marine Micropaleontology","active":true,"publicationSubtype":{"id":10}},"title":"The planktonic foraminiferal response to the Paleocene-Eocene thermal maximum on the Atlantic coastal plain","docAbstract":"Planktonic foraminiferal assemblages in two cores from Maryland and New Jersey show evidence for significant changes in surface ocean habitats on the continental shelf during the Paleocene-Eocene Thermal Maximum (PETM). At both sites, significant assemblage shifts occur immediately before the onset of the event. These changes include the appearance of abundant triserial/biserial species as well as rare excursion taxa, which are limited to the interval of the carbon isotope excursion at deep-sea sites. The assemblage shifts signal the development of new habitats immediately prior to the onset of the PETM, likely involving warming, surface ocean acidification, increased stratification and oligotrophy. A sharp increase in diversity at the onset of the event is interpreted as a further increase in stratification and warming, as well as increased water depth and more eutrophic conditions. Finally, we observe variant morphologies of several planktonic foraminifera, which may also signal the response of the assemblage to environmental perturbation.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marmicro.2018.12.001","usgsCitation":"Livsey, C.M., Babila, T., Robinson, M.M., and Bralower, T., 2019, The planktonic foraminiferal response to the Paleocene-Eocene thermal maximum on the Atlantic coastal plain: Marine Micropaleontology, v. 146, p. 39-50, https://doi.org/10.1016/j.marmicro.2018.12.001.","productDescription":"12 p.","startPage":"39","endPage":"50","ipdsId":"IP-095753","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":360567,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Atlantic coastal plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78,\n 36\n ],\n [\n -74,\n 36\n ],\n [\n -74,\n 40\n ],\n [\n -78,\n 40\n ],\n [\n -78,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"146","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c1b66e3e4b0708288c71d1e","contributors":{"authors":[{"text":"Livsey, Caitlin M.","contributorId":211721,"corporation":false,"usgs":false,"family":"Livsey","given":"Caitlin","email":"","middleInitial":"M.","affiliations":[{"id":7260,"text":"Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":754683,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Babila, Tali","contributorId":211722,"corporation":false,"usgs":false,"family":"Babila","given":"Tali","affiliations":[{"id":6949,"text":"University of California, Santa Cruz","active":true,"usgs":false}],"preferred":false,"id":754684,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Robinson, Marci M. 0000-0002-9200-4097 mmrobinson@usgs.gov","orcid":"https://orcid.org/0000-0002-9200-4097","contributorId":2082,"corporation":false,"usgs":true,"family":"Robinson","given":"Marci","email":"mmrobinson@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":754682,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bralower, Timothy J.","contributorId":195144,"corporation":false,"usgs":false,"family":"Bralower","given":"Timothy J.","affiliations":[],"preferred":false,"id":754685,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70203853,"text":"70203853 - 2019 - A preliminary assessment of hyperspectral remote sensing technology for mapping submerged aquatic vegetation in the Upper Delaware River National Parks","interactions":[],"lastModifiedDate":"2019-07-17T12:03:33","indexId":"70203853","displayToPublicDate":"2018-12-14T11:50:13","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5846,"text":"Advances in Remote Sensing","onlineIssn":"2169-2688","printIssn":"2169-267X","active":true,"publicationSubtype":{"id":10}},"title":"A preliminary assessment of hyperspectral remote sensing technology for mapping submerged aquatic vegetation in the Upper Delaware River National Parks","docAbstract":"Hyperspectral remote sensing of submerged aquatic vegetation is a complex and difficult process that is affected by unique constraints on the energy flow profile near and below the water surface. In addition, shallow, winding, lotic systems, such as the Upper Delaware River, present additional remote sensing problems in the form of specular reflectance, variable depth and constituents in the water column and sometimes extremely weak signal strength due to absorption and scattering in the water column that can be statistically overwhelmed by the reflectance from upland vegetation in any individual image scene. Here we test hyperspectral imagery from the Civil Air Patrol’s (CAP), Airborne Real-time Cueing Hyperspectral Enhanced Recon (ARCHER) system in the scenic waters of two National Parks on the Upper Delaware River. A number of unique image processing problems were encountered, including specular reflectance from winding lotic systems, variable depth and flow dynamics of the riverine environment, and disproportionate signal strength from surface reflectance in this riverine environment. This were solved by applying a specular reflectance removal algorithm, applying field data collections to classification results and masking upland vegetation so as to not statistically overwhelm the weak reflectance signal from surface and near-surface water. Much was learned about conducting imaging spectroscopy in such difficult conditions. Significant results include successful mapping of SAV presenece/absence, advantages of upland masking of the reflectance signal, and a numkber of processing approaches that are unique to this environment. In this paper we summarize our results and identify unique issues that must be addressed in this environment","language":"English","publisher":"Scientific Research","doi":"10.4236/ars.2018.74020","usgsCitation":"Slonecker, E.T., Kalaly, S., Young, J.A., Furedi, M.A., Maloney, K.O., Hamilton, D., Evans, R., and Zinecker, E., 2019, A preliminary assessment of hyperspectral remote sensing technology for mapping submerged aquatic vegetation in the Upper Delaware River National Parks: Advances in Remote Sensing, v. 7, no. 4, 89152, 23 p., https://doi.org/10.4236/ars.2018.74020.","productDescription":"89152, 23 p.","ipdsId":"IP-072961","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":349,"text":"International Water Resources Branch","active":true,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":36171,"text":"National Civil Applications Center","active":true,"usgs":true}],"links":[{"id":460539,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4236/ars.2018.74020","text":"Publisher Index Page"},{"id":365664,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey, New York, Pennsylvania","otherGeospatial":"Delaware Water Gap National Park, Upper Delaware Scenic and Recreational River National Park","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.43212890625,\n 41.95540515378059\n ],\n [\n -75.35797119140625,\n 41.90023276842022\n ],\n [\n -75.234375,\n 41.81021999190292\n ],\n [\n -75.1409912109375,\n 41.72623044860004\n ],\n [\n -75.14373779296875,\n 41.59490508367679\n ],\n [\n -75.02288818359375,\n 41.44066745847658\n ],\n [\n -74.80316162109375,\n 41.376808565702355\n ],\n [\n -74.8992919921875,\n 41.269549502842565\n ],\n [\n -75.025634765625,\n 41.12488359929119\n ],\n [\n -75.18768310546875,\n 41.00477542222947\n ],\n [\n -75.16021728515624,\n 40.95708558389897\n ],\n [\n -75.0311279296875,\n 40.97989806962013\n ],\n [\n -74.8114013671875,\n 41.18278832811288\n ],\n [\n -74.6466064453125,\n 41.33145127732965\n ],\n [\n -74.6905517578125,\n 41.44684402008925\n ],\n [\n -74.893798828125,\n 41.50857729743935\n ],\n [\n -74.959716796875,\n 41.63186741069748\n ],\n [\n -74.970703125,\n 41.85319643776675\n ],\n [\n -75.2398681640625,\n 41.95131994679697\n ],\n [\n -75.30029296875,\n 42.049292638686836\n ],\n [\n -75.43212890625,\n 41.95540515378059\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","issue":"4","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Slonecker, E. 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This aquifer system (the area of maximum glacial advance) underlies parts of 25 States and covers 1.87×106 square kilometers. A hydrogeologic framework is presented that divides the glaciated United States into 17 distinct hydrogeologic terranes using a geologic approach based on previous mapping. Each hydrogeologic terrane contains Quaternary sediment that is derived from a common depositional history and can be characterized by similar texture and thickness. Characteristics of Quaternary sediments are described using attributes computed from a lithologic database of well logs compiled from 24 States (excluding Kentucky). The hydrogeologic framework presents a nationwide picture of the glacial aquifer system and provides generalizations concerning the nature of aquifers within it (for example, whether the aquifers are shallow or deep, and unconfined or confined). In this way insights can be gained from understanding the similarities and differences in distinct parts of the glacial aquifer system and how they relate to water use and quality and to aquifer vulnerability.
Delineation of hydrogeologic terranes was based on an interpretation of existing geologic mapping of Quaternary sediments and the thickness of unconsolidated material. Overall thickness of Quaternary sediment was used to qualitatively rank the generalized complexity of the hydrogeologic framework in each terrane: “lower” complexity (assigned a terrane code 1), “moderate” complexity (terrane code 2), and “higher” complexity (terrane code 3). Letter designations appended to the terrane codes (for example, 1A, 1B, or 1C) differentiate terranes of similar complexity. Two unique areas, where thick, stratified, coarse-grained sediment dominates, were assigned terrane code 4.
Elements of this hydrogeologic framework include a glacial environments and surficial sediments geodatabase, which includes lithologic, geomorphic, and stratigraphic characterization of Quaternary sediments based on previous mapping; a gridded database of sediment and aquifer characteristics computed from lithologic logs obtained from water-well driller records; a water-use database with information on public-water supply systems and sources of groundwater; and estimated recharge computed from a geologically based soil-water balance model. A generalized map of the bedrock geology based on previous State-level mapping is included as well.
Quaternary sediment in the glaciated United States includes glacial, postglacial (Holocene) and nonglacial sediments. At land surface, 60 percent of the glacial sediment is till. Large areas of outwash and ice contact sediments are extensive throughout the Midwest but generally are confined to valleys in the Northeast and the Northwest. Lacustrine sediments were deposited in proglacial lakes adjacent to the present Great Lakes and in glacial Lake Agassiz in the eastern Dakotas and northwestern Minnesota. The median thickness of Quaternary sediment ranges from 6 to 45 meters across the 17 hydrogeologic terranes, but the maximum thickness is more than 500 meters in some areas. Quaternary sediments generally contain less than 10 percent coarse material; the median range is near zero percent under till to about 50 percent under ice contact and outwash sediments. About 80 percent of the coarse material lies within 25 to 40 meters of land surface.
In most of the glaciated United States, there is a small likelihood of penetrating an aquifer-material interval containing coarse material at least 3 meters thick. A single aquifer-material interval was recorded in about 44 percent of lithologic logs, whereas about 11 percent of the logs penetrated multiple intervals. About 44 percent of water wells in the lithologic database are completed in Quaternary sediment, and many of these Quaternary water wells (42 percent) are confined by at least 7.5 meters of fine materials. About 33 percent of these Quaternary water wells are unconfined—the remainder are where only thin layers (less than 3 meters) of coarse material are present. The median depths of Quaternary water wells range from 13 to 40 meters among the 17 hydrogeologic terranes.
Recharge ranges from more than 400 millimeters per year in the Northeast to 11 millimeters or less per year in the Dakotas and Montana (median value of 136 millimeters per year). Annual groundwater withdrawals compiled by county range on an areal basis from less than 1 to 370 millimeters per year, and the mean is 7.4 millimeters per year. About 36 percent of the withdrawals are for public-water supply, of which 70 percent are derived from Quaternary sediments. Groundwater withdrawals are less than 10 percent of recharge throughout most of the glaciated conterminous United States but are a larger proportion of recharge near urban areas in the Northeast and the Midwest, and in counties throughout drier parts of the Midwest.
The salient characteristics of the 17 hydrogeologic terranes are presented through maps and a set of descriptive plots to facilitate visual comparisons between selected sediment and aquifer characteristics. The thickness of Quaternary sediment generally increases from the lower complexity terranes through the higher complexity terranes, consistent with their delineation. Median proportions of coarse material in Quaternary sediment and depths to aquifer-material intervals are highly variable (less than 10 to 50 percent, and 0 to 30 meters, respectively). Median thicknesses of aquifer-material intervals generally fall within a narrow range (10 to 20 meters), except in two terranes that contain thick coarse-grained sediment (30 to 35 meters). The source of water in wells varies from mostly bedrock wells in the lower complexity terranes to mostly Quaternary wells in the higher complexity terranes where the sediment is thickest. A tree diagram compiled from a hierarchical cluster analysis of a matrix composed of metrics based on sediment and aquifer characteristics, and the distribution of water wells in each terrane, indicates some groups of terranes that can be treated as comparable when analyzing groundwater flow and quality.
Aquifer-material intervals indicated on maps prepared from the lithologic logs, including unconfined and confined conditions, correlate well with aquifer systems delineated on state maps for Illinois, Indiana, and North Dakota. The large scale of the study limits the resolution at which the maps can be interpreted, however, and alluvial units are not mapped correctly for some valleys in the Northeast and the Northwest. Lithologic logs used in the study are biased toward shallow depths because not all logs penetrate the entire thickness of Quaternary sediment, but this bias should not limit the utility of the sediment and aquifer descriptions because shallow depths are commonly exploited for water supply. The hydrogeologic framework will support ongoing studies of groundwater flow and quality in the U.S. Geological Survey National Water Quality Assessment program for the glaciated United States.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185091","usgsCitation":"Yager, R.M., Kauffman, L.J., Soller, D.R., Haj, A.E., Heisig, P.M., Buchwald, C.A., Westenbroek, S.M., and Reddy, J.E., 2019, Characterization and occurrence of confined and unconfined aquifers in Quaternary sediments in the glaciated conterminous United States (ver. 1.1, February 2019): U.S. Geological Survey Scientific Investigations Report 2018–5091, 90 p., https://doi.org/10.3133/sir20185091.","productDescription":"Report: ix, 90 p.; Interactive Leaflet maps; Data releases","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-081249","costCenters":[{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"links":[{"id":359750,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F71R6PQG","text":"USGS data release","description":"USGS data release","linkHelpText":"Databases used to develop a hydrogeologic framework for Quaternary sediments in the glaciated conterminous United States"},{"id":359748,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://doi.org/10.3133/ds1090","text":"Data Series 1090","linkHelpText":"- Hydrogeologic Framework for Characterization and Occurrence of Confined and Unconfined Aquifers in Quaternary Sediments in the Glaciated Conterminous United States—A Digital Map Compilation and Database"},{"id":359747,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HH6J8X","text":"USGS data release","description":"USGS data release","linkHelpText":"Digital products from a hydrogeologic framework for Quaternary sediments within the glaciated conterminous United States"},{"id":359745,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5091/coverthb2.jpg"},{"id":359749,"rank":6,"type":{"id":2,"text":"Additional Report Piece"},"url":"https://pubs.usgs.gov/sir/2018/5091/sir20185091_index.html","linkFileType":{"id":5,"text":"html"},"linkHelpText":"- Index page for oversized, interactive Leaflet maps"},{"id":359746,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5091/sir20185091.pdf","text":"Report","size":"17.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018-5091"},{"id":361089,"rank":7,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/sir/2018/5091/versionHist.txt","size":"1.27 KB","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.969069883,\n 35.090811167\n ],\n [\n -65.343237884,\n 35.090811167\n ],\n [\n -65.343237884,\n 50.932504994\n ],\n [\n -124.969069883,\n 50.932504994\n ],\n [\n -124.969069883,\n 35.090811167\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.1: February 2019; Version 1.0: December 2018","contact":"Director, Central Midwest Water Science Center
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Structured decision making is a systematic, transparent process for improving the quality of complex decisions by identifying measurable management objectives and feasible management actions; predicting the potential consequences of management actions relative to the stated objectives; and selecting a course of action that maximizes the total benefit achieved and balances tradeoffs among objectives. The U.S. Geological Survey, in cooperation with the U.S. Fish and Wildlife Service, applied an existing, regional framework for structured decision making to develop a prototype tool for optimizing salt marsh management decisions at the Bombay Hook National Wildlife Refuge in Delaware. Refuge biologists, refuge managers, and research scientists identified multiple potential management actions to improve the ecological integrity of eight salt marsh management units within the refuge and estimated the outcomes of each action in terms of performance metrics associated with each management objective. Value functions previously developed at the regional level were used to transform metric scores to a common utility scale, and utilities were summed to produce a single score representing the total management benefit that would be accrued from each potential management action. Constrained optimization was used to identify the set of management actions, one per salt marsh management unit, that would maximize total management benefits at different cost constraints at the refuge scale. Results indicated that for the objectives and actions considered here, total management benefits would increase consistently up to approximately \\$300,000, but that further expenditures would yield diminishing return on investment. Management actions selected within optimal portfolios at total costs less than \\$300,000 included hydrologic restoration, recontouring adjacent uplands to facilitate marsh migration, and burning the marsh. The prototype presented here provides a framework for decision making at the Bombay Hook National Wildlife Refuge that can be updated as new data and information become available. Insights from this process may also be useful to inform future habitat management planning at the refuge.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20181160","collaboration":"Prepared in cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Neckles, H.A., Lyons, J.E., Nagel, J.L., Adamowicz, S.C., Mikula, T., Guiteras, S.T., and Mitchell, L.R., 2018, Optimization of salt marsh management at the Bombay Hook National Wildlife Refuge, Delaware, through use of structured decision making (ver. 1.1, May 2019): U.S. Geological Survey Open-File Report 2018–1160, 29 p., https://doi.org/10.3133/ofr20181160.","productDescription":"vi, 29 p.","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-098065","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":50464,"text":"Eastern Ecological Science Center","active":true,"usgs":true}],"links":[{"id":360083,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2018/1160/coverthb2.jpg"},{"id":364017,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2018/1160/versionHist.txt","text":"Version History","size":"1.35 KB","linkFileType":{"id":2,"text":"txt"}},{"id":360084,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2018/1160/ofr20181160.pdf","text":"Report","size":"26.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2018-1160"}],"country":"United States","state":"Delaware","otherGeospatial":"Bombay Hook National Wildlife Refuge","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.52928924560547,\n 39.18410260153466\n ],\n [\n -75.3885269165039,\n 39.18410260153466\n ],\n [\n -75.3885269165039,\n 39.30667511534216\n ],\n [\n -75.52928924560547,\n 39.30667511534216\n ],\n [\n -75.52928924560547,\n 39.18410260153466\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.1: May 29, 2019","contact":"Director, Eastern Ecological Science Center
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The eastern oyster (Crassostrea virginica) and the reefs they create provide significant ecosystem services. This study measured their possible role in nutrient mitigation through bioassimilation, burial, and oyster-mediated sediment denitrification in near-shore shallow water (< 1 m water depth) and deep-water (> 1 m water depth) oyster reefs in Louisiana. Nitrogen (N) and carbon (C) in shell and tissue differed by oyster reproductive status, size, and habitat type. Changes in tissue percent N and C post-spawning combined with significant reductions in tissue dry weight from the release of gametes, resulted in 20 and 46% reductions in tissue N and C load (mg), respectively, for a 100-mm oyster. Oyster reefs did not enhance burial rates, with burial range rates estimated at 1.4–2.6 g N m−2 year−1, and 26.9–43.8 g C m−2 year−1. Closed-system ex situ incubations indicated net denitrification in all habitat types studied, with the highest rates exceeding 600 µmol N m−2 h−1 during the summer, but no enhancement attributable to oyster reefs specifically. Within the highly productive, organic-rich wetland complex systems of coastal Louisiana, oyster reefs were not associated with enhanced denitrification, likely due to the organic-rich setting, and redundant supplies of organic nitrogen and carbon from adjacent marshes. Context remains critical in determining ecosystem provision of habitats, and efforts to extrapolate and predict nitrogen removal across locations necessitates consideration of local conditions. Considering the large extent of reefs and oyster production across coastal Louisiana, oyster habitats may still contribute to N and C mitigation, but their unique contribution likely comes from bioassimilation, and removal of the oysters from the system.
","language":"English","publisher":"Springer Link","doi":"10.1007/s00227-018-3449-1","usgsCitation":"Westbrook, P., Heffner, L., and La Peyre, M., 2019, Measuring carbon and nitrogen bioassimilation, burial, and denitrification contributions of oyster reefs in Gulf coast estuaries: Marine Biology, v. 166, 4, 14 p., https://doi.org/10.1007/s00227-018-3449-1.","productDescription":"4, 14 p.","ipdsId":"IP-091640","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":395047,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.131591796875,\n 28.849485201023\n ],\n [\n -89.296875,\n 28.849485201023\n ],\n [\n -89.296875,\n 30.130875412002318\n ],\n [\n -91.131591796875,\n 30.130875412002318\n ],\n [\n -91.131591796875,\n 28.849485201023\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"166","noUsgsAuthors":false,"publicationDate":"2018-11-30","publicationStatus":"PW","contributors":{"authors":[{"text":"Westbrook, P.","contributorId":272525,"corporation":false,"usgs":false,"family":"Westbrook","given":"P.","email":"","affiliations":[{"id":5115,"text":"Louisiana State University","active":true,"usgs":false}],"preferred":false,"id":832045,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Heffner, L.","contributorId":272526,"corporation":false,"usgs":false,"family":"Heffner","given":"L.","email":"","affiliations":[{"id":38006,"text":"Western Alaska Landscape Conservation Cooperative","active":true,"usgs":false}],"preferred":false,"id":832046,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"La Peyre, Megan K. 0000-0001-9936-2252","orcid":"https://orcid.org/0000-0001-9936-2252","contributorId":264343,"corporation":false,"usgs":true,"family":"La Peyre","given":"Megan K.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":832047,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70206001,"text":"70206001 - 2019 - Chesapeake Bay impact structure—Development of \"brim\" sedimentation in a multilayered marine target","interactions":[],"lastModifiedDate":"2019-10-18T06:35:29","indexId":"70206001","displayToPublicDate":"2018-11-29T07:36:51","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Chesapeake Bay impact structure—Development of \"brim\" sedimentation in a multilayered marine target","docAbstract":"The late Eocene Chesapeake Bay impact structure was formed in a multilayered target of seawater underlain sequentially by a sediment layer and a rock layer in a continental-shelf environment. Impact effects in the “brim” (annular trough) surrounding and adjacent to the transient crater, between the transient crater rim and the outer margin, primarily were limited to the target-sediment layer. Analysis of published and new lithostratigraphic, biostratigraphic, sedimentologic, petrologic, and mineralogic studies of three core holes, and published studies of a fourth core hole, provided information for the interpretation of the impact processes, their interactions and relative timing, their resulting products, and sedimentation in the brim. Most studies of marine impact-crater materials have focused on those found in the central crater. There are relatively few large, complex marine craters, of which most display a wide brim around the central crater. However, most have been studied using minimal data sets. The large number of core holes and seismic profiles available for study of the Chesapeake Bay impact structure presents a special opportunity for research. The physical and chronologic records supplied by study of the sediment and rock cores of the Chesapeake Bay impact indicate that the effects of the initial, short-lived contact and compression and excavation stages of the impact event primarily were limited to the transient crater. Only secondary effects of these processes are evident in the brim. The preserved record of the brim was created primarily in the subsequent modification stage. In the brim, the records of early impact processes (e.g., outgoing tsunamis, overturned flap collapse) were modified or removed by later processes. Transported and rotated, large and small clasts of target sediments, and intervals of fluidized sands indicate that seismic shaking fractured and partially fluidized the Cretaceous and Paleogene target sediments, which led to their inward transport by collapse and lateral spreading toward the transient crater. The succeeding inward seawater-resurge flow quickly overtook and interacted with the lateral spreading, further facilitating sediment transport across the brim and into the transient crater. Variations in the cohesion and relative depth of the target sediments controlled their degree of disaggregation and redistribution during these events. Melt clasts and shocked and unshocked rock clasts in the resurge sediments indicate fallout from the ejecta curtain and plume. Basal parautochthonous remnant sections of target Cretaceous sediments in the brim thin toward the collapsed transient crater. Overlying seawater-resurge deposits consist primarily of diamictons that vary laterally in thickness, and vertically and laterally in maximum grain size. After cessation of resurge flow and re-establishment of pre-impact sea level, sandy sediment gravity flows moved from the margin to the center of the partially filled impact structure (shelf basin). The uppermost unit consists of stratified sediments deposited from suspension. Postimpact clayey silts cap the crater fill and record the return to shelf sedimentation at atypically large paleodepths within the shelf basin. An unresolved question involves a section of gravel and sand that overlies Neoproterozoic granite in the inner part of the brim in one core hole. This section may represent previously unrecognized, now parautochthonous Cretaceous sediments lying nonconformably above basement granite, or it may represent target sediments that were moved significant distances by lateral spreading above basement rocks or above a granite megaclast from the overturned flap. The Chesapeake Bay impact structure is perhaps the best documented example of the small group of multilayer, marine-target impacts formed in continental shelves or beneath epeiric seas.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Chesapeake Bay impact structure—Development of brim sedimentation in a multilayered marine target","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Geological Society of America","doi":"10.1130/2018.2537","usgsCitation":"Dypvik, H., Gohn, G., Edwards, L., Horton,, J., Powars, D., and Litwin, R., 2019, Chesapeake Bay impact structure—Development of \"brim\" sedimentation in a multilayered marine target, chap. of Chesapeake Bay impact structure—Development of brim sedimentation in a multilayered marine target, p. 1-68, https://doi.org/10.1130/2018.2537.","productDescription":"68 p.","startPage":"1","endPage":"68","ipdsId":"IP-080339","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":468046,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1130/2018.2537","text":"Publisher Index Page"},{"id":368360,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Chesapeake Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -77.38220214843749,\n 36.80048816579081\n ],\n [\n -75.5145263671875,\n 36.80048816579081\n ],\n [\n -75.5145263671875,\n 39.7240885773337\n ],\n [\n -77.38220214843749,\n 39.7240885773337\n ],\n [\n -77.38220214843749,\n 36.80048816579081\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Dypvik, Henning","contributorId":219821,"corporation":false,"usgs":false,"family":"Dypvik","given":"Henning","email":"","affiliations":[{"id":24717,"text":"University of Oslo, Norway","active":true,"usgs":false}],"preferred":false,"id":773256,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gohn, Gregory 0000-0003-2000-479X ggohn@usgs.gov","orcid":"https://orcid.org/0000-0003-2000-479X","contributorId":219822,"corporation":false,"usgs":true,"family":"Gohn","given":"Gregory","email":"ggohn@usgs.gov","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":773257,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Edwards, Lucy 0000-0003-4075-3317","orcid":"https://orcid.org/0000-0003-4075-3317","contributorId":219823,"corporation":false,"usgs":true,"family":"Edwards","given":"Lucy","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":773258,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Horton,, J. Wright Jr. 0000-0001-6756-6365","orcid":"https://orcid.org/0000-0001-6756-6365","contributorId":219824,"corporation":false,"usgs":true,"family":"Horton,","given":"J. Wright","suffix":"Jr.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":773259,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Powars, David 0000-0002-6787-8964","orcid":"https://orcid.org/0000-0002-6787-8964","contributorId":219825,"corporation":false,"usgs":true,"family":"Powars","given":"David","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":773260,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Litwin, Ronald","contributorId":219826,"corporation":false,"usgs":true,"family":"Litwin","given":"Ronald","affiliations":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":773261,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70203994,"text":"70203994 - 2019 - Accuracy of methods for reporting inorganic element concentrations and radioactivity in oil and gas wastewaters from the Appalachian Basin, U.S. based on an inter-laboratory comparison.","interactions":[],"lastModifiedDate":"2019-06-26T13:30:42","indexId":"70203994","displayToPublicDate":"2018-11-19T13:19:24","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1566,"text":"Environmental Science: Processes and Impacts","active":true,"publicationSubtype":{"id":10}},"title":"Accuracy of methods for reporting inorganic element concentrations and radioactivity in oil and gas wastewaters from the Appalachian Basin, U.S. based on an inter-laboratory comparison.","docAbstract":"Accurate and precise analyses of oil and gas (O&G) wastewaters and solids (e.g., sediments and sludge) are important for the regulatory monitoring of O&G development and tracing potential O&G contamination in the environment. In this study, 15 laboratories participated in an inter-laboratory comparison on the chemical characterization of three O&G wastewaters from the Appalachian Basin and four solids impacted by O&G development, with the goal of evaluating the quality of data and the accuracy of measurements for various analytes of concern. Using a variety of different methods, analytes in the wastewaters with high concentrations (i.e., >5 mg L−1) were easily detectable with relatively high accuracy, often within ±10% of the most probable value (MPV). In contrast, often less than 7 of the 15 labs were able to report detectable trace metal(loid) concentrations (i.e., Cr, Ni, Cu, Zn, As, and Pb) with accuracies of approximately ±40%. Despite most labs using inductively coupled plasma mass spectrometry (ICP-MS) with low instrument detection capabilities for trace metal analyses, large dilution factors during sample preparation and low trace metal concentrations in the wastewaters limited the number of quantifiable determinations and likely influenced analytical accuracy. In contrast, all the labs measuring Ra in the wastewaters were able to report detectable concentrations using a variety of methods including gamma spectroscopy and wet chemical approaches following Environmental Protection Agency (EPA) standard methods. However, the reported radium activities were often greater than ±30% different to the MPV possibly due to calibration inconsistencies among labs, radon leakage, or failing to correct for self-attenuation. Reported radium activities in solid materials had less variability (±20% from MPV) but accuracy could likely be improved by using certified radium standards and accounting for self-attenuation that results from matrix interferences or a density difference between the calibration standard and the unknown sample. This inter-laboratory comparison illustrates that numerous methods can be used to measure major cation, minor cation, and anion concentrations in O&G wastewaters with relatively high accuracy while trace metal(loid) and radioactivity analyses in liquids may often be over ±20% different from the MPV.
","language":"English","publisher":"Royal Society of Chemistry","doi":"10.1039/c8em00359a","usgsCitation":"Tasker, T.L., Burgos, W.D., Ajemigbitse, M.A., Lauer, N.E., Gusa, A.V., Kuatbek, M., May, D., Landis, J.D., Alessi, D.S., Johnsen, A.M., Kaste, J.M., Headrick, K., Wilke, F.D., McNeal, M., Engle, M.A., Jubb, A., Vidic, R., Vengosh, A., and Warner, N.R., 2019, Accuracy of methods for reporting inorganic element concentrations and radioactivity in oil and gas wastewaters from the Appalachian Basin, U.S. based on an inter-laboratory comparison.: Environmental Science: Processes and Impacts, v. 21, no. 2, p. 224-241, https://doi.org/10.1039/c8em00359a.","productDescription":"18 p.","startPage":"224","endPage":"241","ipdsId":"IP-100644","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":365078,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Appalachian Basin","volume":"21","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Tasker, Travis L.","contributorId":211456,"corporation":false,"usgs":false,"family":"Tasker","given":"Travis","email":"","middleInitial":"L.","affiliations":[{"id":38248,"text":"Civil and Environmental Engineering Department, The Pennsylvania State University,","active":true,"usgs":false}],"preferred":false,"id":765135,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burgos, William D","contributorId":216600,"corporation":false,"usgs":false,"family":"Burgos","given":"William","email":"","middleInitial":"D","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":765136,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ajemigbitse, Moses A","contributorId":216601,"corporation":false,"usgs":false,"family":"Ajemigbitse","given":"Moses","email":"","middleInitial":"A","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":765137,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lauer, Nancy E.","contributorId":216602,"corporation":false,"usgs":false,"family":"Lauer","given":"Nancy","email":"","middleInitial":"E.","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":765138,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gusa, Alen V","contributorId":216603,"corporation":false,"usgs":false,"family":"Gusa","given":"Alen","email":"","middleInitial":"V","affiliations":[{"id":39484,"text":"University of Pittsburg","active":true,"usgs":false}],"preferred":false,"id":765139,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kuatbek, 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S.","contributorId":176793,"corporation":false,"usgs":false,"family":"Alessi","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":765143,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Johnsen, Amanda M","contributorId":216606,"corporation":false,"usgs":false,"family":"Johnsen","given":"Amanda","email":"","middleInitial":"M","affiliations":[{"id":6738,"text":"The Pennsylvania State University","active":true,"usgs":false}],"preferred":false,"id":765144,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Kaste, James M","contributorId":216607,"corporation":false,"usgs":false,"family":"Kaste","given":"James","email":"","middleInitial":"M","affiliations":[{"id":39485,"text":"The College of William & Mary","active":true,"usgs":false}],"preferred":false,"id":765145,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Headrick, Kurt","contributorId":216608,"corporation":false,"usgs":false,"family":"Headrick","given":"Kurt","email":"","affiliations":[{"id":39486,"text":"Maxxam Analytics","active":true,"usgs":false}],"preferred":false,"id":765146,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Wilke, Franziska DH","contributorId":216609,"corporation":false,"usgs":false,"family":"Wilke","given":"Franziska","email":"","middleInitial":"DH","affiliations":[{"id":39487,"text":"Helmholtz Centre Potsdam-German Center for Geosciences","active":true,"usgs":false}],"preferred":false,"id":765147,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"McNeal, Mark","contributorId":216610,"corporation":false,"usgs":false,"family":"McNeal","given":"Mark","email":"","affiliations":[{"id":39488,"text":"ACZ Laboratories Inc.","active":true,"usgs":false}],"preferred":false,"id":765148,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Engle, Mark A. 0000-0001-5258-7374 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Pittsburg","active":true,"usgs":false}],"preferred":false,"id":765150,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Vengosh, Avner","contributorId":208460,"corporation":false,"usgs":false,"family":"Vengosh","given":"Avner","email":"","affiliations":[{"id":12643,"text":"Duke University","active":true,"usgs":false}],"preferred":false,"id":765151,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Warner, Nathaniel R.","contributorId":211458,"corporation":false,"usgs":false,"family":"Warner","given":"Nathaniel","email":"","middleInitial":"R.","affiliations":[{"id":38248,"text":"Civil and Environmental Engineering Department, The Pennsylvania State University,","active":true,"usgs":false}],"preferred":false,"id":765152,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}} ,{"id":70200631,"text":"70200631 - 2019 - Decreased atmospheric nitrogen deposition in eastern North America: Predicted responses of forest ecosystems","interactions":[],"lastModifiedDate":"2018-10-25T12:39:10","indexId":"70200631","displayToPublicDate":"2018-10-25T12:39:07","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1555,"text":"Environmental Pollution","active":true,"publicationSubtype":{"id":10}},"title":"Decreased atmospheric nitrogen deposition in eastern North America: Predicted responses of forest ecosystems","docAbstract":"Historical increases in emissions and atmospheric deposition of oxidized and reduced nitrogen (N) provided the impetus for extensive, global-scale research investigating the effects of excess N in terrestrial and aquatic ecosystems, with several regions within the Eastern Deciduous Forest of the United States found to be susceptible to negative effects of excess N. The Clean Air Act and associated rules have led to decreases in emissions and deposition of oxidized N, especially in eastern U.S., representing a research challenge and opportunity for ecosystem ecologists and biogeochemists. The purpose of this paper is to predict changes in the structure and function of North American forest ecosystems in a future of decreased N deposition. Hysteresis is a property of a system wherein output is not a strict function of corresponding input, incorporating lag, delay, or history dependence, particularly when the response to decreasing input is different from the response to increasing input. We suggest a conceptual hysteretic model predicting varying lag times in recovery of soil acidification, plant biodiversity, soil microbial communities, forest carbon (C) and N cycling, and surface water chemistry toward pre-N impact conditions. Nearly all of these can potentially respond strongly to reductions in N deposition. Most responses are expected to show some degree of hysteresis, with the greatest delays in response occurring in processes most tightly linked to “slow pools” of N in wood and soil organic matter. Because experimental studies of declines in N loads in forests of North America are lacking and because of the expected hysteresis, it is difficult to generalize from experimental results to patterns expected from declining N deposition. These will likely be long-term phenomena, difficult to distinguish from other, concurrent environmental changes, including elevated atmospheric CO2, climate change, reductions in acidity, invasions of new species, and long-term vegetation responses to past disturbance.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envpol.2018.09.135","usgsCitation":"Gilliam, F.S., Burns, D., Driscoll, C.T., Frey, S.D., Lovett, G.M., and Watmough, S.A., 2019, Decreased atmospheric nitrogen deposition in eastern North America: Predicted responses of forest ecosystems: Environmental Pollution, v. 244, p. 560-574, https://doi.org/10.1016/j.envpol.2018.09.135.","productDescription":"15 p.","startPage":"560","endPage":"574","ipdsId":"IP-098706","costCenters":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"links":[{"id":358821,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","volume":"244","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a8dce4b034bf6a7e4d85","contributors":{"authors":[{"text":"Gilliam, Frank S.","contributorId":168383,"corporation":false,"usgs":false,"family":"Gilliam","given":"Frank","email":"","middleInitial":"S.","affiliations":[{"id":16679,"text":"Marshall University","active":true,"usgs":false}],"preferred":false,"id":749763,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burns, Douglas A. 0000-0001-6516-2869","orcid":"https://orcid.org/0000-0001-6516-2869","contributorId":202943,"corporation":false,"usgs":true,"family":"Burns","given":"Douglas A.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":749762,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Driscoll, Charles T.","contributorId":167460,"corporation":false,"usgs":false,"family":"Driscoll","given":"Charles","email":"","middleInitial":"T.","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":749764,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Frey, Serita D.","contributorId":177401,"corporation":false,"usgs":false,"family":"Frey","given":"Serita","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":749765,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lovett, Gary M.","contributorId":210078,"corporation":false,"usgs":false,"family":"Lovett","given":"Gary","email":"","middleInitial":"M.","affiliations":[{"id":36424,"text":"Cary Institute of Ecosystems Studies","active":true,"usgs":false}],"preferred":false,"id":749766,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Watmough, Shaun A.","contributorId":178413,"corporation":false,"usgs":false,"family":"Watmough","given":"Shaun","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":749767,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70223221,"text":"70223221 - 2019 - Behavior and survival of stocked trout in southern Appalachian Mountain streams","interactions":[],"lastModifiedDate":"2021-08-19T13:50:16.146081","indexId":"70223221","displayToPublicDate":"2018-10-25T07:46:01","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Behavior and survival of stocked trout in southern Appalachian Mountain streams","docAbstract":"Stocking of trout to support recreational fisheries is a common practice among state and federal agencies to meet angling and harvest demands. Success of stocking efforts relies upon fish behavior and survival to maximize the availability of fish to anglers. We quantitatively described the movement behavior and survival of stocked Brook Trout Salvelinus fontinalis, Brown Trout Salmo trutta, and Rainbow Trout Oncorhynchus mykiss in three southern Appalachian Mountain streams in western North Carolina, USA, that were managed under delayed harvest regulations. Hatchery trout were tagged with a combination of PIT tags and radio transmitters (radio tags); stocked into “Delayed Harvest Trout Waters” of the North Toe, East Prong Roaring, and Little rivers; and monitored during the catch-and-release season from October to June. Assessed according to river and species, 19–65% of trout emigrated from the delayed harvest study reaches, while 1–29% died within the reaches. The majority of radio-tagged fish (71%; 59–85% by river) remained within 2 km of the stocking location, whereas 6% migrated over 10 km from the stocking location. Few trout stocked during fall (October and November) were available to anglers the following June due to a combination of migration and mortality. Emigration from delayed harvest study reaches was associated with stocking and high-flow events. Multi-state modeling detailed these observations with weekly estimates of migration and survival rates. River-specific differences in emigration and mortality suggested that emigration was a greater source of trout loss than mortality in all rivers; no pattern related to river size was apparent in emigration, but mortality was greater in small streams. Brook Trout mortality rates were highest among the three species, and large fish of most species showed higher emigration and mortality than catchable-sized trout. Fisheries managers can apply our results to alter stocking regimes so as to enhance the efficiency of stocking and the acclimation of stocked trout to instream environments.
We describe a methodology that has been developed at the U.S. Geological Survey for making earthquake catalogs for seismic hazard analysis and review the status of the catalogs for the conterminous United States. A new catalog is assembled from several pre‐existing catalogs. Uniform moment magnitudes and related parameters for estimating unbiased seismicity rates are calculated. Duplicates, explosions, mining‐related earthquakes, and induced earthquakes are flagged, and the catalog is declustered. Distinct catalogs are made for the central and eastern United States and the western United States.
The Whooping Crane (Grus americana), endemic to North America, is the rarest of all crane species. It is believed that in the early 1800s, the Whooping Crane was widespread in North America, though it was never very abundant. Whooping Crane numbers decreased precipitously as westward migration of Euro-American settlers converted prairie to cropland and the birds were hunted. By the early 1940s the total population was as low as 21 individuals; the migratory Aransas-Wood Buffalo Population, from which all extant Whooping Cranes are descended, dwindled to 16 in 1941. The threat of extinction was very real. These dire circumstances excited the interest of ornithologists and conservationists in the United States and Canada, and much has been accomplished since to conserve the species. To describe the historical and ongoing conservation activities for Whooping Cranes, we distinguish two eras of Whooping Crane Conservation: before 1950 and after 1950. The first era was characterized by publicizing the plight of the Whooping Crane and halting hunting and habitat destruction. The second era, continuing to the present, has been characterized by development of information about cranes through scientific study, conservation efforts of governmental and nongovernmental organizations, protection of the species under the Endangered Species Act in the United States and the Species at Risk Act in Canada, habitat protection, and reintroduction of new populations of Whooping Cranes. Publication of the monograph, The Whooping Crane by Robert Porter Allen, in 1952 stimulated much of the work of the second era, and still stands as the definitive work on the biology of Whooping Cranes. The remnant Aransas Wood Buffalo Population, which is crucial to species recovery, has grown to over 430 birds as of winter 2016–17. Four reintroduced populations were started in the second era; two are currently active efforts (the Eastern Migratory population and the Louisiana Nonmigratory Population), although neither population is selfsustaining. This volume gathers together the current scientific information about Whooping Cranes and the experiences of various reintroduction and management operations, to provide a baseline from which a third era of Whooping Crane conservation may be launched.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Whooping Cranes: Biology and conservation","language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-803555-9.00001-3","usgsCitation":"French, J., Converse, S.J., and Austin, J.E., 2019, Whooping Cranes past and present, chap. of Whooping Cranes: Biology and conservation, p. 3-16, https://doi.org/10.1016/B978-0-12-803555-9.00001-3.","productDescription":"14 p.","startPage":"3","endPage":"16","ipdsId":"IP-092444","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":358685,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5c10a8dee4b034bf6a7e4d9e","contributors":{"authors":[{"text":"French, John B. Jr. 0000-0001-8901-7092","orcid":"https://orcid.org/0000-0001-8901-7092","contributorId":209865,"corporation":false,"usgs":true,"family":"French","given":"John B.","suffix":"Jr.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":748979,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Converse, Sarah J. 0000-0002-3719-5441 sconverse@usgs.gov","orcid":"https://orcid.org/0000-0002-3719-5441","contributorId":173772,"corporation":false,"usgs":true,"family":"Converse","given":"Sarah","email":"sconverse@usgs.gov","middleInitial":"J.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":748981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Austin, Jane E. 0000-0001-8775-2210 jaustin@usgs.gov","orcid":"https://orcid.org/0000-0001-8775-2210","contributorId":146411,"corporation":false,"usgs":true,"family":"Austin","given":"Jane","email":"jaustin@usgs.gov","middleInitial":"E.","affiliations":[{"id":480,"text":"Northern Prairie Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":748980,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203053,"text":"70203053 - 2019 - Evidence for shelf acidification during the onset of the Paleocene-Eocene Thermal Maximum","interactions":[],"lastModifiedDate":"2019-04-16T08:37:22","indexId":"70203053","displayToPublicDate":"2018-10-12T08:35:43","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":5790,"text":"Paleoceanography and Paleoclimatology","active":true,"publicationSubtype":{"id":10}},"title":"Evidence for shelf acidification during the onset of the Paleocene-Eocene Thermal Maximum","docAbstract":"A transect of paleoshelf cores from Maryland and New Jersey contains a ~0.19 m to 1.61 m thick interval with reduced percentages of carbonate during the onset of the Paleocene-Eocene Thermal Maximum (PETM). Outer paleoshelf cores are barren of nannofossils and correspond to two minor disconformities. Middle paleoshelf cores contain a mixture of samples devoid of nannofossils and those with rare specimens characterized by significant dissolution (i.e., etching). The magnitude of the decrease in carbonate cannot be explained by dilution by clastic material or dissolution resulting from the oxidation of organic matter during early diagenesis. The observed preservation pattern implies a shoaling of the calcite compensation depth (CCD) and lysocline to the middle shelf. This reduced carbonate interval is observed during the onset of the PETM on other continental margins raising the possibility that extreme shoaling of the CCD and lysocline was a global signal which is more significant than in previous estimates for the PETM. An alternative scenario is that shoaling was restricted to the northwest Atlantic, enhanced by regional and local factors (eutrophication from rivers, microbial activity associated with warming) that exacerbated the impact of acidification on the shelf.","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018PA003382","usgsCitation":"Bralower, T., Kump, L.R., Robinson, M.M., Self-Trail, J., Lyons, S.L., Babila, T., Ballaron, E., Freeman, K.H., Hajek, E.A., Rush, W., and Zachos, J.C., 2019, Evidence for shelf acidification during the onset of the Paleocene-Eocene Thermal Maximum: Paleoceanography and Paleoclimatology, v. 33, no. 12, p. 1408-1426, https://doi.org/10.1029/2018PA003382.","productDescription":"19 p.","startPage":"1408","endPage":"1426","ipdsId":"IP-096932","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":468076,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index 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quality in river corridors","interactions":[],"lastModifiedDate":"2020-09-01T20:13:54.038019","indexId":"70205454","displayToPublicDate":"2018-10-09T18:20:23","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2529,"text":"Journal of the American Water Resources Association","active":true,"publicationSubtype":{"id":10}},"title":"How hydrologic connectivity regulates water quality in river corridors","docAbstract":"Downstream flow in rivers is repeatedly delayed by hydrologic exchange with off‐channel storage zones where biogeochemical processing occurs. We present a dimensionless metric that quantifies river connectivity as the balance between downstream flow and the exchange of water with the bed, banks, and floodplains. The degree of connectivity directly influences downstream water quality — too little connectivity limits the amount of river water exchanged and leads to biogeochemically inactive water storage, while too much connectivity limits the contact time with sediments for reactions to proceed. Using a metric of reaction significance based on river connectivity, we provide evidence that intermediate levels of connectivity, rather than the highest or lowest levels, are the most efficient in removing nitrogen from Northeastern United States’ rivers. Intermediate connectivity balances the frequency, residence time, and contact volume with reactive sediments, which can maximize the reactive processing of dissolved contaminants and the protection of downstream water quality. Our simulations suggest denitrification dominantly occurs in riverbed hyporheic zones of streams and small rivers, whereas vertical turbulent mixing in contact with sediments dominates in mid‐size to large rivers. The metrics of connectivity and reaction significance presented here can facilitate scientifically based prioritizations of river management strategies to protect the values and functions of river corridors.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12691","usgsCitation":"Harvey, J., Gomez-Velez, J., Schmadel, N., Scott, D., Boyer, E.W., Alexander, R., Eng, K., Golden, H.E., Kettner, A., Konrad, C., Moore, R., Pizzuto, J., Schwarz, G., Soulsby, C., and Choi, J., 2019, How hydrologic connectivity regulates water quality in river corridors: Journal of the American Water Resources Association, v. 55, no. 2, p. 369-381, https://doi.org/10.1111/1752-1688.12691.","productDescription":"13 p.","startPage":"369","endPage":"381","ipdsId":"IP-098548","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":29789,"text":"John Wesley Powell Center for Analysis and Synthesis","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"links":[{"id":468077,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1111/1752-1688.12691","text":"External Repository"},{"id":367535,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"55","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-10-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":219085,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - 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Understanding factors influencing nest-site selection and nest survival are important for conservation and management of lesser prairie-chicken populations. However, >75% of the extant population is in the northern extent of the range where data on breeding season ecology are lacking. We tested factors influencing fine-scale and regional nest-site selection and nest survival across the northern portion of the lesser prairie-chicken range. We trapped and affixed satellite global positioning system and very high frequency transmitters to female lesser prairie-chickens (n = 307) in south-central and western Kansas and eastern Colorado, USA. We located and monitored 257 lesser prairie-chicken nests from 2013 to 2016. We evaluated nest-site selection and nest survival in comparison to vegetation composition and structure. Overall, nest-site selection in relation to vegetation characteristics was similar across our study area. Lesser prairie-chickens selected nest microsites with 75% visual obstruction 2.0–3.5 dm tall and 95.7% of all nests were in habitat with ≥1 dm and ≤4 dm visual obstruction. Nests were located in areas with 6–8% bare ground, on average, avoiding areas with greater percent cover of bare ground. The type of vegetation present was less important than cover of adequate height. Nest survival was maximized when 75% visual obstruction was 2.0–4.0 dm. Nest survival did not vary spatially or among years and generally increased as intensity of drought decreased throughout the study although not significantly. To provide nesting cover considering yearly variation in drought conditions, it is important to maintain residual cover by managing for structural heterogeneity of vegetation. Managing for structural heterogeneity could be accomplished by maintaining or strategically applying practices of the Conservation Reserve Program, using appropriate fire and grazing disturbances in native working grasslands, and establishing site-specific monitoring of vegetation composition and structure.
","language":"English","publisher":"The Wildlife Society","doi":"10.1002/jwmg.21582","usgsCitation":"Lautenbach, J.M., Haukos, D.A., Sullins, D.S., Hagen, C.A., Lautenbach, J.D., Pitman, J.C., Plumb, R.T., Robinson, S.G., and Kraft, J.D., 2019, Factors influencing nesting ecology of lesser prairie-chickens: Journal of Wildlife Management, v. 83, no. 1, p. 205-215, https://doi.org/10.1002/jwmg.21582.","productDescription":"11 p.","startPage":"205","endPage":"215","ipdsId":"IP-098227","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":468085,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"http://hdl.handle.net/10919/99173","text":"Publisher Index Page"},{"id":395681,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado, Kansas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.2822265625,\n 37.020098201368114\n ],\n [\n -98.525390625,\n 37.020098201368114\n ],\n [\n -98.525390625,\n 39.639537564366684\n ],\n [\n -104.2822265625,\n 39.639537564366684\n ],\n [\n -104.2822265625,\n 37.020098201368114\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"83","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lautenbach, Joseph M.","contributorId":172788,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":834055,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":834056,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":834057,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hagen, Christian A.","contributorId":177795,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":834058,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Lautenbach, Jonathan D.","contributorId":172790,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":834059,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pitman, James C.","contributorId":40529,"corporation":false,"usgs":true,"family":"Pitman","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":834060,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Plumb, Reid T.","contributorId":172787,"corporation":false,"usgs":false,"family":"Plumb","given":"Reid","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":834061,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Robinson, Samantha G.","contributorId":172786,"corporation":false,"usgs":false,"family":"Robinson","given":"Samantha","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":834062,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kraft, John D.","contributorId":172789,"corporation":false,"usgs":false,"family":"Kraft","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":834063,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ]}