The seismic response of active and intermittently active landslides is an important issue to resolve to determine if such landslides present an elevated hazard in future earthquakes. To study the response of landslide deposits, seismographs were placed on the Mission Peak landslide in the eastern San Francisco Bay region for a period of one year. Numerous local and near‐regional earthquakes were recorded that reveal a complexity of seismic response phenomena using the horizontal‐to‐vertical spectral ratio method. At lower frequencies, a clear spectral peak is observed at 0.5 Hz common to all four stations in the array and is attributed to a surface topographic effect. At higher frequencies, other spectral peaks occur that are interpreted in terms of local deposits and structures. Site amplification from the standard reference site method shows the minimum amplification with a factor of 2, comparing a site on and off the landslide. A site located on relatively homogeneous deposits of loose soils shows a clear spectral peak associated with the thickness of the deposit. Another site on a talus‐filled graben near the headscarp shows possible 2D or 3D effects from subsurface topography or scattering within and between buried sandstone blocks. A third site on a massive partially detached block below the crown of the headscarp shows indications of resonance caused by the reverberation of shear waves within the block. The varied seismic response of different parts of this complex landslide is consistent with other studies which found that, although landslide response is commonly enhanced in the downslope direction of landslide movement, such a response does not occur uniformly or consistently. When it does occur, enhanced site response parallel to the direction of landslide movement would contribute to landslide reactivation during significant earthquakes.
","language":"English","publisher":"Society of the Seismological Society of America","doi":"10.1785/0120170033","usgsCitation":"Hartzell, S.H., Leeds, A.L., and Jibson, R.W., 2017, Seismic response of soft deposits due to landslide: The Mission Peak, California, landslide: Bulletin of the Seismological Society of America, v. 107, no. 5, p. 2008-2020, https://doi.org/10.1785/0120170033.","productDescription":"13 p.","startPage":"2008","endPage":"2020","ipdsId":"IP-088233","costCenters":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"links":[{"id":346473,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122,\n 37.3\n ],\n [\n -121.7,\n 37.3\n ],\n [\n -121.7,\n 37.8\n ],\n [\n -122,\n 37.8\n ],\n [\n -122,\n 37.3\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"107","issue":"5","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-25","publicationStatus":"PW","scienceBaseUri":"59dddc08e4b05fe04ccd05c2","contributors":{"authors":[{"text":"Hartzell, Stephen H. 0000-0003-0858-9043 shartzell@usgs.gov","orcid":"https://orcid.org/0000-0003-0858-9043","contributorId":2594,"corporation":false,"usgs":true,"family":"Hartzell","given":"Stephen","email":"shartzell@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712142,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leeds, Alena L. 0000-0002-8756-3687 aleeds@usgs.gov","orcid":"https://orcid.org/0000-0002-8756-3687","contributorId":4077,"corporation":false,"usgs":true,"family":"Leeds","given":"Alena","email":"aleeds@usgs.gov","middleInitial":"L.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712143,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Jibson, Randall W. 0000-0003-3399-0875 jibson@usgs.gov","orcid":"https://orcid.org/0000-0003-3399-0875","contributorId":2985,"corporation":false,"usgs":true,"family":"Jibson","given":"Randall","email":"jibson@usgs.gov","middleInitial":"W.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":712144,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70191217,"text":"gip182 - 2017 - Kīlauea summit eruption—Lava returns to Halemaʻumaʻu","interactions":[],"lastModifiedDate":"2017-10-12T10:05:38","indexId":"gip182","displayToPublicDate":"2017-10-06T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":315,"text":"General Information Product","code":"GIP","onlineIssn":"2332-354X","printIssn":"2332-3531","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"182","title":"Kīlauea summit eruption—Lava returns to Halemaʻumaʻu","docAbstract":"In March 2008, a new volcanic vent opened within Halemaʻumaʻu, a crater at the summit of Kīlauea Volcano in Hawaiʻi Volcanoes National Park on the Island of Hawaiʻi. This new vent is one of two ongoing eruptions on the volcano. The other is on Kīlauea’s East Rift Zone, where vents have been erupting nearly nonstop since 1983. The duration of these simultaneous summit and rift zone eruptions on Kīlauea is unmatched in at least 200 years.
Since 2008, Kīlauea’s summit eruption has consisted of continuous degassing, occasional explosive events, and an active, circulating lava lake. Because of ongoing volcanic hazards associated with the summit vent, including the emission of high levels of sulfur dioxide gas and fragments of hot lava and rock explosively hurled onto the crater rim, the area around Halemaʻumaʻu remains closed to the public as of 2017.
Through historical photos of past Halemaʻumaʻu eruptions and stunning 4K imagery of the current eruption, this 24-minute program tells the story of Kīlauea Volcano’s summit lava lake—now one of the two largest lava lakes in the world. It begins with a Hawaiian chant that expresses traditional observations of a bubbling lava lake and reflects the connections between science and culture that continue on Kīlauea today.
The video briefly recounts the eruptive history of Halemaʻumaʻu and describes the formation and continued growth of the current summit vent and lava lake. It features USGS Hawaiian Volcano Observatory scientists sharing their insights on the summit eruption—how they monitor the lava lake, how and why the lake level rises and falls, why explosive events occur, the connection between Kīlauea’s ongoing summit and East Rift Zone eruptions, and the impacts of the summit eruption on the Island of Hawaiʻi and beyond. The video is also available at the following U.S. Geological Survey Multimedia Gallery link (video hosted on YouTube): Kīlauea summit eruption—Lava returns to Halemaʻumaʻu
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/gip182","usgsCitation":"Babb, J.L., Wessells, S.M., and Neal, C.A., 2017, Kīlauea summit eruption—Lava returns to Halemaʻumaʻu: U.S. Geological Survey General Information Product 182, video, 24 minutes, https://doi.org/10.3133/gip182.","productDescription":"Video: 24 minutes; Transcript; Subtitles","onlineOnly":"Y","ipdsId":"IP-090208","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":346514,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/182/gip182subtitles.srt","text":"Subtitles SRT","size":"24 KB","description":"GIP 182"},{"id":346515,"rank":7,"type":{"id":7,"text":"Companion Files"},"url":"https://www.usgs.gov/media/videos/k-lauea-summit-eruption-lava-returns-halema-uma-u","text":"Kīlauea summit eruption—Lava returns to Halemaʻumaʻu","description":"GIP 182","linkHelpText":" - From the U.S. Geological Survey Multimedia Gallery (video hosted on YouTube)"},{"id":346428,"rank":4,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/gip/182/gip182_lowresolution.mp4","text":"Movie (MP4) Small","size":"215 MB","description":"GIP 182"},{"id":346429,"rank":6,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/gip/182/gip182_highresolution.mp4","text":"Movie (MP4) Large","size":"2.9 GB","description":"GIP 182"},{"id":346427,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/gip/182/gip182.transcript.pdf","text":"Transcript","size":"115 KB","linkFileType":{"id":1,"text":"pdf"},"description":"GIP 182"},{"id":346246,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/gip/182/coverthb.jpg"},{"id":346460,"rank":5,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/gip/182/gip182_midresolution.mp4","text":"Movie (MP4) Medium","size":"1.1 GB","description":"GIP 182"}],"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 -155.30118942260742,\n 19.390019824987313\n ],\n [\n -155.23475646972656,\n 19.390019824987313\n ],\n [\n -155.23475646972656,\n 19.43907564961802\n ],\n [\n -155.30118942260742,\n 19.43907564961802\n ],\n [\n -155.30118942260742,\n 19.390019824987313\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Hawaiian Volcano Observatory
U.S. Geological Survey
P.O. Box 51
Hawaiʻi Volcanoes National Park, HI 96718-0051
askHVO@usgs.gov
Paleoecological analyses of biotic assemblages from cores collected throughout south Florida’s estuaries indicate gradually increasing salinities over approximately the last 2000 years, consistent with rising sea level. Around the beginning of the twentieth century these gradual patterns of change began to shift, corresponding to the beginning of human alteration of the environment via canal construction, railroad construction and other land use changes. Between 1950 and 1960, at a time of significant construction of water management structures another distinctive shift in the biological assemblages occurred. Analysis of the assemblages provides essential information on long-term patterns of change in the estuaries and provides a basis for predicting future trajectories of change. Paleosalinity estimates derived from the cores are providing input to linear regression models to determine related freshwater flow into the estuaries of south Florida. These analyses are being used to help establish performance measures and targets for the Comprehensive Everglades Restoration, established following an Act of Congress in 2000. Restoration of south Florida’s ecosystems is slated to be a 30–50 year effort that will require detailed knowledge of past decadal to centennial-scale changes in climate, freshwater flow and salinity. This historical perspective provides information that allows land managers to set realistic and sustainable goals for restoration, and provides insight into the potential response of south Florida’s ecosystem to various future scenarios of global change.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Applications of paleoenvironmental techniques in estuarine studies. Part of the Developments in Paleoenvironmental Research book series. ","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-94-024-0990-1_22","usgsCitation":"Wingard, G.L., 2017, Application of paleoecology to ecosystem restoration: A case study from south Florida’s estuaries, chap. of Applications of paleoenvironmental techniques in estuarine studies. Part of the Developments in Paleoenvironmental Research book series. , v. 20, p. 551-585, https://doi.org/10.1007/978-94-024-0990-1_22.","productDescription":"35 p.","startPage":"551","endPage":"585","ipdsId":"IP-017977","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":358397,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -82.869873046875,\n 24.43714786161562\n ],\n [\n -78.9312744140625,\n 24.43714786161562\n ],\n [\n -78.9312744140625,\n 27.259512784361693\n ],\n [\n -82.869873046875,\n 27.259512784361693\n ],\n [\n -82.869873046875,\n 24.43714786161562\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"20","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-02-15","publicationStatus":"PW","scienceBaseUri":"5c10ab02e4b034bf6a7e5f39","contributors":{"editors":[{"text":"Weckstrom, Kaarina","contributorId":209733,"corporation":false,"usgs":false,"family":"Weckstrom","given":"Kaarina","email":"","affiliations":[],"preferred":false,"id":748662,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Saunders, Krystyna M.","contributorId":209734,"corporation":false,"usgs":false,"family":"Saunders","given":"Krystyna","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":748663,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Gell, Peter A.","contributorId":66602,"corporation":false,"usgs":true,"family":"Gell","given":"Peter","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":748664,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Skilbeck, C. Gregory","contributorId":209735,"corporation":false,"usgs":false,"family":"Skilbeck","given":"C.","email":"","middleInitial":"Gregory","affiliations":[],"preferred":false,"id":748665,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","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":698150,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70191279,"text":"70191279 - 2017 - New insight into the origin of manganese oxide ore deposits in the Appalachian Valley and Ridge of northeastern Tennessee and northern Virginia, USA","interactions":[],"lastModifiedDate":"2017-10-03T12:35:01","indexId":"70191279","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1723,"text":"GSA Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"New insight into the origin of manganese oxide ore deposits in the Appalachian Valley and Ridge of northeastern Tennessee and northern Virginia, USA","docAbstract":"Manganese oxide deposits have long been observed in association with carbonates within the Appalachian Mountains, but their origin has remained enigmatic for well over a century. Ore deposits of Mn oxides from several productive sites located in eastern Tennessee and northern Virginia display morphologies that include botryoidal and branching forms, massive nodules, breccia matrix cements, and fracture fills. The primary ore minerals include hollandite, cryptomelane, and romanèchite. Samples of Mn oxides from multiple localities in these regions were analyzed using electron microscopy, X-ray analysis, Fourier transform infrared spectroscopy, and trace and rare earth element (REE) geochemistry. The samples from eastern Tennessee have biological morphologies, contain residual biopolymers, and exhibit REE signatures that suggest the ore formation was due to supergene enrichment (likely coupled with microbial activity). In contrast, several northern Virginia ores hosted within quartz-sandstone breccias exhibit petrographic relations, mineral morphologies, and REE signatures indicating inorganic precipitation, and a likely hydrothermal origin with supergene overprinting. Nodular accumulations of Mn oxides within weathered alluvial deposits that occur close to breccia-hosted Mn deposits in Virginia show geochemical signatures that are distinct from the breccia matrices and appear to reflect remobilization of earlier-emplaced Mn and concentration within supergene traps. Based on the proximity of all of the productive ore deposits to mapped faults or other zones of deformation, we suggest that the primary source of all of the Mn may have been deep seated, and that Mn oxides with supergene and/or biological characteristics resulted from the local remobilization and concentration of this primary Mn.
","language":"English","publisher":"Geological Society of America","doi":"10.1130/B31682.1","usgsCitation":"Carmichael, S.K., Doctor, D.H., Wilson, C.G., Feierstein, J., and McAleer, R., 2017, New insight into the origin of manganese oxide ore deposits in the Appalachian Valley and Ridge of northeastern Tennessee and northern Virginia, USA: GSA Bulletin, v. 129, no. 9-10, p. 1158-1180, https://doi.org/10.1130/B31682.1.","productDescription":"23 p.","startPage":"1158","endPage":"1180","ipdsId":"IP-080760","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":469486,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"text":"External Repository"},{"id":346349,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Tennessee, Virginia","volume":"129","issue":"9-10","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-05-11","publicationStatus":"PW","scienceBaseUri":"59d4a1a4e4b05fe04cc4e0e5","contributors":{"authors":[{"text":"Carmichael, Sarah K. 0000-0002-3144-8225","orcid":"https://orcid.org/0000-0002-3144-8225","contributorId":196874,"corporation":false,"usgs":false,"family":"Carmichael","given":"Sarah","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":711837,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","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":711836,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wilson, Crystal G.","contributorId":196875,"corporation":false,"usgs":false,"family":"Wilson","given":"Crystal","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":711838,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Feierstein, Joshua","contributorId":196876,"corporation":false,"usgs":false,"family":"Feierstein","given":"Joshua","email":"","affiliations":[],"preferred":false,"id":711839,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":5301,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan J.","email":"rmcaleer@usgs.gov","affiliations":[{"id":245,"text":"Eastern Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":false,"id":711840,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70193035,"text":"70193035 - 2017 - Modeling watershed-scale impacts of stormwater management with traditional versus low impact development design","interactions":[],"lastModifiedDate":"2017-11-20T16:56:01","indexId":"70193035","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","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":"Modeling watershed-scale impacts of stormwater management with traditional versus low impact development design","docAbstract":"Stormwater runoff and associated pollutants from urban areas in the greater Chesapeake Bay Watershed (CBW) impair local streams and downstream ecosystems, despite urbanized land comprising only 7% of the CBW area. More recently, stormwater best management practices (BMPs) have been implemented in a low impact development (LID) manner to treat stormwater runoff closer to its source. This approach included the development of a novel BMP model to compare traditional and LID design, pioneering the use of comprehensively digitized storm sewer infrastructure and BMP design connectivity with spatial patterns in a geographic information system at the watershed scale. The goal was to compare total watershed pollutant removal efficiency in two study watersheds with differing spatial patterns of BMP design (traditional and LID), by quantifying the improved water quality benefit of LID BMP design. An estimate of uncertainty was included in the modeling framework by using ranges for BMP pollutant removal efficiencies that were based on the literature. Our model, using Monte Carlo analysis, predicted that the LID watershed removed approximately 78 kg more nitrogen, 3 kg more phosphorus, and 1,592 kg more sediment per square kilometer as compared with the traditional watershed on an annual basis. Our research provides planners a valuable model to prioritize watersheds for BMP design based on model results or in optimizing BMP selection.
","language":"English","publisher":"American Water Resources Association","doi":"10.1111/1752-1688.12559","usgsCitation":"Sparkman, S.A., Hogan, D.M., Hopkins, K.G., and Loperfido, J.V., 2017, Modeling watershed-scale impacts of stormwater management with traditional versus low impact development design: Journal of the American Water Resources Association, v. 53, no. 5, p. 1081-1094, https://doi.org/10.1111/1752-1688.12559.","productDescription":"8 p.","startPage":"1081","endPage":"1094","ipdsId":"IP-079154","costCenters":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"links":[{"id":349167,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Maryland","county":"Montgomery 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"state\":\"MD\"}}]}","volume":"53","issue":"5","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-13","publicationStatus":"PW","scienceBaseUri":"5a60fb44e4b06e28e9c22e94","contributors":{"authors":[{"text":"Sparkman, Stephanie A. 0000-0001-9208-507X ssparkman@usgs.gov","orcid":"https://orcid.org/0000-0001-9208-507X","contributorId":5482,"corporation":false,"usgs":true,"family":"Sparkman","given":"Stephanie","email":"ssparkman@usgs.gov","middleInitial":"A.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":717722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hogan, Dianna M. 0000-0003-1492-4514 dhogan@usgs.gov","orcid":"https://orcid.org/0000-0003-1492-4514","contributorId":131137,"corporation":false,"usgs":true,"family":"Hogan","given":"Dianna","email":"dhogan@usgs.gov","middleInitial":"M.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true},{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":5064,"text":"Southeast Regional Director's Office","active":true,"usgs":true}],"preferred":true,"id":717724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hopkins, Kristina G. 0000-0003-1699-9384 khopkins@usgs.gov","orcid":"https://orcid.org/0000-0003-1699-9384","contributorId":195604,"corporation":false,"usgs":true,"family":"Hopkins","given":"Kristina","email":"khopkins@usgs.gov","middleInitial":"G.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":717725,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Loperfido, J. V. 0000-0003-3328-2801 jloperfido@usgs.gov","orcid":"https://orcid.org/0000-0003-3328-2801","contributorId":195605,"corporation":false,"usgs":false,"family":"Loperfido","given":"J.","email":"jloperfido@usgs.gov","middleInitial":"V.","affiliations":[],"preferred":false,"id":717723,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192047,"text":"70192047 - 2017 - Culturally induced range infilling of eastern redcedar: a problem in ecology, an ecological problem, or both?","interactions":[],"lastModifiedDate":"2017-10-25T11:08:11","indexId":"70192047","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1468,"text":"Ecology and Society","active":true,"publicationSubtype":{"id":10}},"title":"Culturally induced range infilling of eastern redcedar: a problem in ecology, an ecological problem, or both?","docAbstract":"The philosopher John Passmore distinguished between (1) “problems in ecology,” or what we might call problems in scientific understanding of ecological change, and (2) “ecological problems,” or what we might call problems faced by societies due to ecological change. The spread of eastern redcedar (Juniperus virginiana) and conversion of the central and southern Great Plains of North America to juniper woodland might be categorized as a problem in ecology, an ecological problem, or both. Here, we integrate and apply two interdisciplinary approaches to problem-solving—social-ecological systems thinking and ecocriticism—to understand the role of human culture in recognizing, driving, and responding to cedar’s changing geographic distribution. We interpret the spread of cedar as a process of culturally induced range infilling due to the ongoing social-ecological impacts of colonization, analyze poetic literary texts to clarify the concepts that have so far informed different cultural values related to cedar, and explore the usefulness of diverse interdisciplinary collaborations and knowledge for addressing social-ecological challenges like cedar spread in the midst of rapidly unfolding global change. Our examination suggests that it is not only possible, but preferable, to address cedar spread as both a scientific and a social problem. Great Plains landscapes are teetering between grassland and woodland, and contemporary human societies both influence and choose how to cope with transitions between these ecological states. We echo previous studies in suggesting that human cultural values about stability and disturbance, especially cultural concepts of fire, will be primary driving factors in determining future trajectories of change on the Great Plains. Although invasion-based descriptors of cedar spread may be useful in ecological research and management, language based on the value of restraint could provide a common vocabulary for effective cross-disciplinary and interdisciplinary communication about the relationship between culture and cedar, as well as an ethical framework for cross-cultural communication, decision-making, and management.
","language":"English","publisher":"Ecology and Society","doi":"10.5751/ES-09357-220246","usgsCitation":"Streit Krug, A., Uden, D.R., Allen, C.R., and Twidwell, D., 2017, Culturally induced range infilling of eastern redcedar: a problem in ecology, an ecological problem, or both?: Ecology and Society, v. 22, no. 2, Article 46; 15 p., https://doi.org/10.5751/ES-09357-220246.","productDescription":"Article 46; 15 p.","ipdsId":"IP-086925","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469474,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.5751/es-09357-220246","text":"Publisher Index Page"},{"id":347333,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"22","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59f1a2a4e4b0220bbd9d9f3c","contributors":{"authors":[{"text":"Streit Krug, Aubrey","contributorId":198275,"corporation":false,"usgs":false,"family":"Streit Krug","given":"Aubrey","email":"","affiliations":[],"preferred":false,"id":715577,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Uden, Daniel R.","contributorId":74258,"corporation":false,"usgs":true,"family":"Uden","given":"Daniel","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":715578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig R. 0000-0001-8655-8272 allencr@usgs.gov","orcid":"https://orcid.org/0000-0001-8655-8272","contributorId":1979,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"allencr@usgs.gov","middleInitial":"R.","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":714006,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Twidwell, Dirac","contributorId":187431,"corporation":false,"usgs":false,"family":"Twidwell","given":"Dirac","email":"","affiliations":[],"preferred":false,"id":715579,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191500,"text":"70191500 - 2017 - 238U–230Th–226Ra–210Pb–210Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea","interactions":[],"lastModifiedDate":"2017-10-16T09:57:02","indexId":"70191500","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2420,"text":"Journal of Petrology","active":true,"publicationSubtype":{"id":10}},"displayTitle":"238U–230Th–226Ra–210Pb–210Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea","title":"238U–230Th–226Ra–210Pb–210Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea","docAbstract":"The timescales of magma genesis, ascent, storage and degassing at Kīlauea volcano, Hawai‘i are addressed by measuring 238U-series radionuclide abundances in lava and tephra erupted between 1982 and 2008. Most analyzed samples represent lavas erupted by steady effusion from Pu‘u ‘Ō‘ō and Kūpahianaha from 1983 to 2008. Also included are samples erupted at the summit in April 1982 and March 2008, along the East Rift Zone at the onset of the ongoing eruption in January 1983, and during vent shifting episodes 54 and 56, at Nāpau crater in January 1997, and Kane Nui O Hamo in June 2007. In general, samples have small (∼4%) excesses of (230Th) over (238U) and ∼3 to ∼17% excesses of (226Ra) over (230Th), consistent with melting of a garnet peridotite source at melting rates between 1 × 10–3 and 5 × 10–3 kg m–3 a–1, and melting region porosity between ∼2 and ∼10%, in agreement with previous studies of the ongoing eruption and historical eruptions. A small subset of samples has near-equilibrium (230Th/238U) values, and thus were generated at higher melting rates. Based on U–Th–Ra disequilibria and Th isotopic data from this and earlier studies, melting processes and sources have been relatively stable over at least the past two centuries or more, including during the ongoing unusually long (>30 years) and voluminous (4 km3) eruption. Lavas recently erupted from the East Rift Zone have average initial (210Pb/226Ra) values of 0·80 ± 0·11 (1σ), which we interpret to be the result of partitioning of 222Rn into a persistently generated CO2-rich gas phase over a minimum of 8 years. This (210Pb) deficit implies an average magma ascent rate of ≤3·7 km a–1 from ∼30 km depth to the surface. Spatter and lava associated with vent-opening episodes erupt with variable (210Pb) deficits ranging from 0·7 to near-equilibrium values in some samples. The samples with near-equilibrium (210Pb/226Ra) are typically more differentiated, suggesting decadal timescales of magma storage in shallow conduits or reservoirs that were not degassing. Lava and spatter samples erupted in the East Rift Zone and at the summit had (210Po) ∼0 at the time of eruption, which results from efficient partitioning of Po into the CO2- and SO2-rich gas phases during and prior to eruption. Summit ash and Pele’s hair samples from 2008 differ from lava and lapilli samples in that they have elevated initial (210Po), (210Pb/226Ra), and Pb concentrations because of Po condensation on tephra particles, and incorporation of fumarolic Po and Pb into erupted tephra fragments during quenching.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/petrology/egx051","usgsCitation":"Girard, G., Reagan, M.K., Sims, K., Thornber, C., Waters, C.L., and Phillips, E.H., 2017, 238U–230Th–226Ra–210Pb–210Po disequilibria constraints on magma generation, ascent, and degassing during the ongoing eruption of Kīlauea: Journal of Petrology, v. 58, no. 6, p. 1199-1226, https://doi.org/10.1093/petrology/egx051.","productDescription":"28 p.","startPage":"1199","endPage":"1226","ipdsId":"IP-073117","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":490047,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/petrology/egx051","text":"Publisher Index Page"},{"id":346622,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","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 -155.34530639648438,\n 19.229473413975263\n ],\n [\n -155.0658416748047,\n 19.229473413975263\n ],\n [\n -155.0658416748047,\n 19.452996386512584\n ],\n [\n -155.34530639648438,\n 19.452996386512584\n ],\n [\n -155.34530639648438,\n 19.229473413975263\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"58","issue":"6","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-16","publicationStatus":"PW","scienceBaseUri":"59e5c51ce4b05fe04cd1c9dc","contributors":{"authors":[{"text":"Girard, Guillaume","contributorId":197084,"corporation":false,"usgs":false,"family":"Girard","given":"Guillaume","email":"","affiliations":[],"preferred":false,"id":712516,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reagan, Mark K.","contributorId":54496,"corporation":false,"usgs":true,"family":"Reagan","given":"Mark","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":712517,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sims, Kenneth W. W.","contributorId":197086,"corporation":false,"usgs":false,"family":"Sims","given":"Kenneth W. W.","affiliations":[],"preferred":false,"id":712518,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Thornber, Carl 0000-0002-6382-4408 cthornber@usgs.gov","orcid":"https://orcid.org/0000-0002-6382-4408","contributorId":167396,"corporation":false,"usgs":true,"family":"Thornber","given":"Carl","email":"cthornber@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":712515,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Waters, Christopher L.","contributorId":197087,"corporation":false,"usgs":false,"family":"Waters","given":"Christopher","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":712519,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phillips, Erin H.","contributorId":184202,"corporation":false,"usgs":false,"family":"Phillips","given":"Erin","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":712520,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70191514,"text":"70191514 - 2017 - A transect through Vermont’s most famous volcano – Mount Ascutney: GSNH Summer 2017 Field Trip","interactions":[],"lastModifiedDate":"2017-10-16T14:35:25","indexId":"70191514","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":9,"text":"Other Report"},"title":"A transect through Vermont’s most famous volcano – Mount Ascutney: GSNH Summer 2017 Field Trip","docAbstract":"No abstract available.
","language":"English","publisher":"Geological Survey of New Hampshire","usgsCitation":"Walsh, G.J., 2017, A transect through Vermont’s most famous volcano – Mount Ascutney: GSNH Summer 2017 Field Trip, 4 p.","productDescription":"4 p.","ipdsId":"IP-088447","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":346632,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":346625,"type":{"id":15,"text":"Index Page"},"url":"https://www.gsnh.org/"}],"country":"United States","state":"Vermont","otherGeospatial":"Mount Ascutney","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59e5c51be4b05fe04cd1c9d6","contributors":{"authors":[{"text":"Walsh, Gregory J. 0000-0003-4264-8836 gwalsh@usgs.gov","orcid":"https://orcid.org/0000-0003-4264-8836","contributorId":873,"corporation":false,"usgs":true,"family":"Walsh","given":"Gregory","email":"gwalsh@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"preferred":true,"id":712552,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70192197,"text":"70192197 - 2017 - A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography","interactions":[],"lastModifiedDate":"2017-10-23T12:15:45","indexId":"70192197","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":681,"text":"Agricultural and Forest Meteorology","active":true,"publicationSubtype":{"id":10}},"title":"A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography","docAbstract":"Quantifying the frequency, duration, and elevation range of fog or cloud immersion is essential to estimate cloud water deposition in water budgets and to understand the ecohydrology of cloud forests. The goal of this study was to develop a low-cost and high spatial-coverage method to detect occurrence of cloud immersion within a mountain cloud forest by using time-lapse photography. Trail cameras and temperature/relative humidity sensors were deployed at five sites covering the elevation range from the assumed lifting condensation level to the mountain peaks in the Luquillo Mountains of Puerto Rico. Cloud-sensitive image characteristics (contrast, the coefficient of variation and the entropy of pixel luminance, and image colorfulness) were used with a k-means clustering approach to accurately detect cloud-immersed conditions in a time series of images from March 2014 to May 2016. Images provided hydrologically meaningful cloud-immersion information while temperature-relative humidity data were used to refine the image analysis using dew point information and provided temperature gradients along the elevation transect. Validation of the image processing method with human-judgment based classification generally indicated greater than 90% accuracy. Cloud-immersion frequency averaged 80% at sites above 900 m during nighttime hours and 49% during daytime hours, and was consistent with diurnal patterns of cloud immersion measured in a previous study. Results for the 617 m site demonstrated that cloud immersion in the Luquillo Mountains rarely occurs at the previously-reported cloud base elevation of about 600 m (11% during nighttime hours and 5% during daytime hours). The framework presented in this paper will be used to monitor at a low cost and high spatial resolution the long-term variability of cloud-immersion patterns in the Luquillo Mountains, and can be applied to ecohydrology research at other cloud-forest sites or in coastal ecosystems with advective sea fog.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.agrformet.2017.04.010","usgsCitation":"Bassiouni, M., Scholl, M.A., Torres-Sanchez, A.J., and Murphy, S.F., 2017, A method for quantifying cloud immersion in a tropical mountain forest using time-lapse photography: Agricultural and Forest Meteorology, v. 243, p. 100-112, https://doi.org/10.1016/j.agrformet.2017.04.010.","productDescription":"13 p.","startPage":"100","endPage":"112","ipdsId":"IP-086096","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469543,"rank":1,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.agrformet.2017.04.010","text":"Publisher Index Page"},{"id":438199,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7HQ3X52","text":"USGS data release","linkHelpText":"Supplementary Data for Method for Quantifying Cloud Immersion in a Tropical Mountain Forest Using Time-Lapse Photography"},{"id":347111,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"El Yunque National Forest, Puerto Rico","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -65.86647033691406,\n 18.242720598398734\n ],\n [\n -65.70270538330078,\n 18.242720598398734\n ],\n [\n -65.70270538330078,\n 18.34866001012719\n ],\n [\n -65.86647033691406,\n 18.34866001012719\n ],\n [\n -65.86647033691406,\n 18.242720598398734\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"243","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59eeffa3e4b0220bbd988f65","contributors":{"authors":[{"text":"Bassiouni, Maoya 0000-0001-5795-9894","orcid":"https://orcid.org/0000-0001-5795-9894","contributorId":197780,"corporation":false,"usgs":true,"family":"Bassiouni","given":"Maoya","affiliations":[],"preferred":false,"id":714696,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Scholl, Martha A. 0000-0001-6994-4614 mascholl@usgs.gov","orcid":"https://orcid.org/0000-0001-6994-4614","contributorId":1920,"corporation":false,"usgs":true,"family":"Scholl","given":"Martha","email":"mascholl@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":714695,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Torres-Sanchez, Angel J. 0000-0002-5595-021X ajtorres@usgs.gov","orcid":"https://orcid.org/0000-0002-5595-021X","contributorId":5623,"corporation":false,"usgs":true,"family":"Torres-Sanchez","given":"Angel","email":"ajtorres@usgs.gov","middleInitial":"J.","affiliations":[{"id":156,"text":"Caribbean Water Science Center","active":true,"usgs":true}],"preferred":true,"id":714697,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Murphy, Sheila F. 0000-0002-5481-3635 sfmurphy@usgs.gov","orcid":"https://orcid.org/0000-0002-5481-3635","contributorId":1854,"corporation":false,"usgs":true,"family":"Murphy","given":"Sheila","email":"sfmurphy@usgs.gov","middleInitial":"F.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":714698,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70192569,"text":"70192569 - 2017 - Groundwater declines are linked to changes in Great Plains stream fish assemblages","interactions":[],"lastModifiedDate":"2017-10-26T13:09:59","indexId":"70192569","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3165,"text":"Proceedings of the National Academy of Sciences of the United States of America","active":true,"publicationSubtype":{"id":10}},"title":"Groundwater declines are linked to changes in Great Plains stream fish assemblages","docAbstract":"Groundwater pumping for agriculture is a major driver causing declines of global freshwater ecosystems, yet the ecological consequences for stream fish assemblages are rarely quantified. We combined retrospective (1950–2010) and prospective (2011–2060) modeling approaches within a multiscale framework to predict change in Great Plains stream fish assemblages associated with groundwater pumping from the United States High Plains Aquifer. We modeled the relationship between the length of stream receiving water from the High Plains Aquifer and the occurrence of fishes characteristic of small and large streams in the western Great Plains at a regional scale and for six subwatersheds nested within the region. Water development at the regional scale was associated with construction of 154 barriers that fragment stream habitats, increased depth to groundwater and loss of 558 km of stream, and transformation of fish assemblage structure from dominance by large-stream to small-stream fishes. Scaling down to subwatersheds revealed consistent transformations in fish assemblage structure among western subwatersheds with increasing depths to groundwater. Although transformations occurred in the absence of barriers, barriers along mainstem rivers isolate depauperate western fish assemblages from relatively intact eastern fish assemblages. Projections to 2060 indicate loss of an additional 286 km of stream across the region, as well as continued replacement of large-stream fishes by small-stream fishes where groundwater pumping has increased depth to groundwater. Our work illustrates the shrinking of streams and homogenization of Great Plains stream fish assemblages related to groundwater pumping, and we predict similar transformations worldwide where local and regional aquifer depletions occur.
","language":"English","publisher":"National Academy of Sciences of the United States of America","doi":"10.1073/pnas.1618936114","usgsCitation":"Prekins, J.S., Gido, K.B., Falke, J.A., Fausch, K., Crockett, H., Johnson, E.R., and Sanderson, J., 2017, Groundwater declines are linked to changes in Great Plains stream fish assemblages: Proceedings of the National Academy of Sciences of the United States of America, v. 114, no. 28, p. 7373-7378, https://doi.org/10.1073/pnas.1618936114.","productDescription":"6 p.","startPage":"7373","endPage":"7378","ipdsId":"IP-081390","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469479,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://doi.org/10.1073/pnas.1618936114","text":"External Repository"},{"id":347468,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":" Colorado, Kansas, Nebraska","otherGeospatial":"Great Plains","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -104.3701171875,\n 39.13006024213511\n ],\n [\n -99.47021484375,\n 39.13006024213511\n ],\n [\n -99.47021484375,\n 41.19518982948959\n ],\n [\n -104.3701171875,\n 41.19518982948959\n ],\n [\n -104.3701171875,\n 39.13006024213511\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"114","issue":"28","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-26","publicationStatus":"PW","scienceBaseUri":"5a07e873e4b09af898c8cb72","contributors":{"authors":[{"text":"Prekins, Joshuah S.","contributorId":198486,"corporation":false,"usgs":false,"family":"Prekins","given":"Joshuah","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":716235,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gido, Keith B.","contributorId":198487,"corporation":false,"usgs":false,"family":"Gido","given":"Keith","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":716236,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Falke, Jeffrey A. 0000-0002-6670-8250 jfalke@usgs.gov","orcid":"https://orcid.org/0000-0002-6670-8250","contributorId":5195,"corporation":false,"usgs":true,"family":"Falke","given":"Jeffrey","email":"jfalke@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":716234,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Fausch, Kurt D. 0000-0001-5825-7560","orcid":"https://orcid.org/0000-0001-5825-7560","contributorId":198488,"corporation":false,"usgs":false,"family":"Fausch","given":"Kurt D.","affiliations":[],"preferred":false,"id":716237,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crockett, Harry","contributorId":198489,"corporation":false,"usgs":false,"family":"Crockett","given":"Harry","affiliations":[],"preferred":false,"id":716238,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Eric R.","contributorId":198490,"corporation":false,"usgs":false,"family":"Johnson","given":"Eric","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":716239,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sanderson, John","contributorId":172965,"corporation":false,"usgs":false,"family":"Sanderson","given":"John","affiliations":[],"preferred":false,"id":716240,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70191112,"text":"70191112 - 2017 - Hypogene caves of the central Appalachian Shenandoah Valley in Virginia","interactions":[],"lastModifiedDate":"2017-10-03T12:48:06","indexId":"70191112","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Hypogene caves of the central Appalachian Shenandoah Valley in Virginia","docAbstract":"Several caves in the Shenandoah Valley in Virginia show evidence for early hypogenic conduit development with later-enhanced solution under partly confined phreatic conditions guided by geologic structures. Many (but not all) of these caves have been subsequently invaded by surface waters as a result of erosion and exhumation. Those not so affected are relict phreatic caves, bearing no relation to modern drainage patterns. Field and petrographic evidence shows that carbonate rocks hosting certain relict phreatic caves were dolomitized and/or silicified by early hydrothermal fluid migration in zones that served to locally enhance rock porosity, thus providing preferential pathways for later solution by groundwater flow, and making the surrounding bedrock more resistant to surficial weathering to result in caves that reside within isolated hills on the land surface. Features suggesting that deep phreatic processes dominated the development of these relict caves include (1) cave passage morphologies indicative of ascending fluids, (2) cave plans of irregular pattern, reflecting early maze or anastomosing development, (3) a general lack of cave breakdown and cave streams or cave stream deposits, and (4) calcite wall and pool coatings within isolated caves intersecting the local water table, and within unroofed caves at topographic locations elevated well above the local base level. Episodes of deep karstification were likely separated by long periods of geologic time, encompassing multiple phases of sedimentary fill and excavation within caves, and reflect a complex history of deep fluid migration that set the stage for later shallow speleogenesis that continues today.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hypogene karst regions and caves of the world","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-319-53348-3_46","usgsCitation":"Doctor, D.H., and Orndorff, W., 2017, Hypogene caves of the central Appalachian Shenandoah Valley in Virginia, chap. of Hypogene karst regions and caves of the world, p. 691-707, https://doi.org/10.1007/978-3-319-53348-3_46.","productDescription":"17 p.","startPage":"691","endPage":"707","ipdsId":"IP-081438","costCenters":[{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"links":[{"id":346351,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah Valley","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-18","publicationStatus":"PW","scienceBaseUri":"59d4a1a5e4b05fe04cc4e0eb","contributors":{"authors":[{"text":"Doctor, Daniel H. 0000-0002-8338-9722 dhdoctor@usgs.gov","orcid":"https://orcid.org/0000-0002-8338-9722","contributorId":2037,"corporation":false,"usgs":true,"family":"Doctor","given":"Daniel","email":"dhdoctor@usgs.gov","middleInitial":"H.","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":711262,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Orndorff, Wil","contributorId":127487,"corporation":false,"usgs":false,"family":"Orndorff","given":"Wil","affiliations":[{"id":6970,"text":"Virginia Department of Conservation and Recreation, Natural Heritage Program","active":true,"usgs":false}],"preferred":false,"id":711263,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70194521,"text":"70194521 - 2017 - The story of a Yakima fold and how it informs Late Neogene and Quaternary backarc deformation in the Cascadia subduction zone, Manastash anticline, Washington, USA","interactions":[],"lastModifiedDate":"2017-12-01T13:09:40","indexId":"70194521","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3524,"text":"Tectonics","active":true,"publicationSubtype":{"id":10}},"title":"The story of a Yakima fold and how it informs Late Neogene and Quaternary backarc deformation in the Cascadia subduction zone, Manastash anticline, Washington, USA","docAbstract":"The Yakima folds of central Washington, USA, are prominent anticlines that are the primary tectonic features of the backarc of the northern Cascadia subduction zone. What accounts for their topographic expression and how much strain do they accommodate and over what time period? We investigate Manastash anticline, a north vergent fault propagation fold typical of structures in the fold province. From retrodeformation of line- and area-balanced cross sections, the crust has horizontally shortened by 11% (0.8–0.9 km). The fold, and by inference all other folds in the fold province, formed no earlier than 15.6 Ma as they developed on a landscape that was reset to negligible relief following voluminous outpouring of Grande Ronde Basalt. Deformation is accommodated on two fault sets including west-northwest striking frontal thrust faults and shorter north to northeast striking faults. The frontal thrust fault system is active with late Quaternary scarps at the base of the range front. The fault-cored Manastash anticline terminates to the east at the Naneum anticline and fault; activity on the north trending Naneum structures predates emplacement of the Grande Ronde Basalt. The west trending Yakima folds and west striking thrust faults, the shorter north to northeast striking faults, and the Naneum fault together constitute the tectonic structures that accommodate deformation in the low strain rate environment in the backarc of the Cascadia Subduction Zone.
","language":"English","publisher":"AGU","doi":"10.1002/2017TC004558","usgsCitation":"Kelsey, H.M., Ladinsky, T.C., Staisch, L.M., Sherrod, B.L., Blakely, R.J., Pratt, T., Stephenson, W.J., Odum, J., and Wan, E., 2017, The story of a Yakima fold and how it informs Late Neogene and Quaternary backarc deformation in the Cascadia subduction zone, Manastash anticline, Washington, USA: Tectonics, v. 36, no. 10, p. 2085-2107, https://doi.org/10.1002/2017TC004558.","productDescription":"23 p.","startPage":"2085","endPage":"2107","ipdsId":"IP-088415","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":349634,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Washington","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": 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C.","contributorId":201083,"corporation":false,"usgs":false,"family":"Ladinsky","given":"Tyler","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":724278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staisch, Lydia M. 0000-0002-1414-5994 lstaisch@usgs.gov","orcid":"https://orcid.org/0000-0002-1414-5994","contributorId":167068,"corporation":false,"usgs":true,"family":"Staisch","given":"Lydia","email":"lstaisch@usgs.gov","middleInitial":"M.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724276,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherrod, Brian L. 0000-0002-4492-8631 bsherrod@usgs.gov","orcid":"https://orcid.org/0000-0002-4492-8631","contributorId":2834,"corporation":false,"usgs":true,"family":"Sherrod","given":"Brian","email":"bsherrod@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":724279,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blakely, Richard J. 0000-0003-1701-5236 blakely@usgs.gov","orcid":"https://orcid.org/0000-0003-1701-5236","contributorId":1540,"corporation":false,"usgs":true,"family":"Blakely","given":"Richard","email":"blakely@usgs.gov","middleInitial":"J.","affiliations":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724280,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Pratt, Thomas 0000-0003-3131-3141 tpratt@usgs.gov","orcid":"https://orcid.org/0000-0003-3131-3141","contributorId":201084,"corporation":false,"usgs":true,"family":"Pratt","given":"Thomas","email":"tpratt@usgs.gov","affiliations":[],"preferred":true,"id":724281,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Stephenson, William J. 0000-0001-8699-0786 wstephens@usgs.gov","orcid":"https://orcid.org/0000-0001-8699-0786","contributorId":201085,"corporation":false,"usgs":true,"family":"Stephenson","given":"William","email":"wstephens@usgs.gov","middleInitial":"J.","affiliations":[],"preferred":true,"id":724282,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Odum, Jackson K. 0000-0003-4697-2430 odum@usgs.gov","orcid":"https://orcid.org/0000-0003-4697-2430","contributorId":1365,"corporation":false,"usgs":true,"family":"Odum","given":"Jackson K.","email":"odum@usgs.gov","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":724283,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Wan, Elmira 0000-0002-9255-112X ewan@usgs.gov","orcid":"https://orcid.org/0000-0002-9255-112X","contributorId":3434,"corporation":false,"usgs":true,"family":"Wan","given":"Elmira","email":"ewan@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":724284,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70195394,"text":"70195394 - 2017 - Role of a naturally varying flow regime in Everglades restoration","interactions":[],"lastModifiedDate":"2018-02-13T13:34:06","indexId":"70195394","displayToPublicDate":"2017-10-01T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3271,"text":"Restoration Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Role of a naturally varying flow regime in Everglades restoration","docAbstract":"The Everglades is a low-gradient floodplain predominantly on organic soil that undergoes seasonally pulsing sheetflow through a network of deepwater sloughs separated by slightly higher elevation ridges. The seasonally pulsing flow permitted the coexistence of ridge and slough vegetation, including the persistence of productive, well-connected sloughs that seasonally concentrated prey and supported wading bird nesting success. Here we review factors contributing to the origin and to degradation of the ridge and slough ecosystem in an attempt to answer “How much flow is needed to restore functionality”? A key restoration objective is to increase sheetflow lost during the past century to reestablish interactions between flow, water depth, vegetation production and decomposition, and transport of flocculent organic sediment that build and maintain ridge and slough distinctions. Our review finds broad agreement that perturbations of water level depth and its fluctuations were primary in the degradation of landscape functions, with critical contributions from perturbed water quality, and flow velocity and direction. Whereas water levels are expected to be improved on average across a range of restoration scenarios that replace between 79 and 91% of predrainage flows, the diminished microtopography substantially decreases the probability of timely improvements in some areas whereas others that retain microtopographic differences are poised for restoration benefits. New advances in predicting restoration outcomes are coming from biophysical modeling of ridge–slough dynamics, system-wide measurements of landscape functionality, and large-scale flow restoration experiments, including active management techniques to kick-start slough regeneration.
","language":"English","publisher":"Wiley","doi":"10.1111/rec.12558","usgsCitation":"Harvey, J., Wetzel, P.R., Lodge, T.E., Engel, V.C., and Ross, M.S., 2017, Role of a naturally varying flow regime in Everglades restoration: Restoration Ecology, v. 25, no. S1, p. S27-S38, https://doi.org/10.1111/rec.12558.","productDescription":"12 p.","startPage":"S27","endPage":"S38","ipdsId":"IP-080490","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":351531,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Everglades","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.18896484375,\n 25.137825490722225\n ],\n [\n -80.211181640625,\n 25.137825490722225\n ],\n [\n -80.211181640625,\n 26.676913083105454\n ],\n [\n -81.18896484375,\n 26.676913083105454\n ],\n [\n -81.18896484375,\n 25.137825490722225\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"25","issue":"S1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-09-27","publicationStatus":"PW","scienceBaseUri":"5afee7eae4b0da30c1bfc39f","contributors":{"authors":[{"text":"Harvey, Judson 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":140228,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":728390,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wetzel, Paul R.","contributorId":202429,"corporation":false,"usgs":false,"family":"Wetzel","given":"Paul","email":"","middleInitial":"R.","affiliations":[{"id":36432,"text":"Smith College, Northhampton, MA","active":true,"usgs":false}],"preferred":false,"id":728391,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lodge, Thomas E.","contributorId":202430,"corporation":false,"usgs":false,"family":"Lodge","given":"Thomas","email":"","middleInitial":"E.","affiliations":[{"id":36433,"text":"Thomas E. Lodge Ecological Advisors, Inc.","active":true,"usgs":false}],"preferred":false,"id":728392,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Engel, Victor C. 0000-0002-3858-7308 vengel@usgs.gov","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":2329,"corporation":false,"usgs":true,"family":"Engel","given":"Victor","email":"vengel@usgs.gov","middleInitial":"C.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":728394,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ross, Michael S.","contributorId":202431,"corporation":false,"usgs":false,"family":"Ross","given":"Michael","email":"","middleInitial":"S.","affiliations":[{"id":36434,"text":"Florida International University, Miami, FL","active":true,"usgs":false}],"preferred":false,"id":728393,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70195434,"text":"70195434 - 2017 - Degradation of crude 4-MCHM (4-methylcyclohexanemethanol) in sediments from Elk River, West Virginia","interactions":[],"lastModifiedDate":"2018-02-15T10:06:56","indexId":"70195434","displayToPublicDate":"2017-09-30T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Degradation of crude 4-MCHM (4-methylcyclohexanemethanol) in sediments from Elk River, West Virginia","docAbstract":"In January 2014, approximately 37 800 L of crude 4-methylcyclohexanemethanol (crude MCHM) spilled into the Elk River, West Virginia. To understand the long-term fate of 4-MCHM, we conducted experiments under environmentally relevant conditions to assess the potential for the 2 primary compounds in crude MCHM (1) to undergo biodegradation and (2) for sediments to serve as a long-term source of 4-MCHM. We developed a solid phase microextraction (SPME) method to quantify the cis- and trans-isomers of 4-MCHM. Autoclaved Elk River sediment slurries sorbed 17.5% of cis-4-MCHM and 31% of trans-4-MCHM from water during the 2-week experiment. Sterilized, impacted, spill-site sediment released minor amounts of cis- and up to 35 μg/L of trans-4-MCHM into water, indicating 4-MCHM was present in sediment collected 10 months post spill. In anoxic microcosms, 300 μg/L cis- and 150 μg/L trans-4-MCHM degraded to nondetectable levels in 8–13 days in both impacted and background sediments. Under aerobic conditions, 4-MCHM isomers degraded to nondetectable levels within 4 days. Microbial communities at impacted sites differed in composition compared to background samples, but communities from both sites shifted in response to crude MCHM amendments. Our results indicate that 4-MCHM is readily biodegradable under environmentally relevant conditions.
","language":"English","publisher":"ACS publications","doi":"10.1021/acs.est.7b03142","usgsCitation":"Cozzarelli, I.M., Akob, D.M., Baedecker, M.J., Spencer, T., Jaeschke, J.B., Dunlap, D., Mumford, A.C., Poret-Peterson, A.T., and Chambers, D., 2017, Degradation of crude 4-MCHM (4-methylcyclohexanemethanol) in sediments from Elk River, West Virginia: Environmental Science & Technology, v. 51, no. 21, p. 12139-12145, https://doi.org/10.1021/acs.est.7b03142.","productDescription":"7 p.","startPage":"12139","endPage":"12145","ipdsId":"IP-086118","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":351643,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"West Virginia","otherGeospatial":"Elk River","volume":"51","issue":"21","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-13","publicationStatus":"PW","scienceBaseUri":"5afee7eae4b0da30c1bfc3af","contributors":{"authors":[{"text":"Cozzarelli, Isabelle M. 0000-0002-5123-1007 icozzare@usgs.gov","orcid":"https://orcid.org/0000-0002-5123-1007","contributorId":1693,"corporation":false,"usgs":true,"family":"Cozzarelli","given":"Isabelle","email":"icozzare@usgs.gov","middleInitial":"M.","affiliations":[{"id":49175,"text":"Geology, Energy & Minerals Science Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":728588,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Akob, Denise M. 0000-0003-1534-3025 dakob@usgs.gov","orcid":"https://orcid.org/0000-0003-1534-3025","contributorId":4980,"corporation":false,"usgs":true,"family":"Akob","given":"Denise","email":"dakob@usgs.gov","middleInitial":"M.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":728589,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baedecker, Mary Jo 0000-0002-4865-1043 mjbaedec@usgs.gov","orcid":"https://orcid.org/0000-0002-4865-1043","contributorId":197793,"corporation":false,"usgs":true,"family":"Baedecker","given":"Mary","email":"mjbaedec@usgs.gov","middleInitial":"Jo","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":728590,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Spencer, Tracey 0000-0002-9121-2943 tspencer@usgs.gov","orcid":"https://orcid.org/0000-0002-9121-2943","contributorId":197794,"corporation":false,"usgs":true,"family":"Spencer","given":"Tracey","email":"tspencer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":728591,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Jaeschke, Jeanne B. 0000-0002-6237-6164 jaeschke@usgs.gov","orcid":"https://orcid.org/0000-0002-6237-6164","contributorId":3876,"corporation":false,"usgs":true,"family":"Jaeschke","given":"Jeanne","email":"jaeschke@usgs.gov","middleInitial":"B.","affiliations":[{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":728592,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Dunlap, Darren S.","contributorId":179297,"corporation":false,"usgs":false,"family":"Dunlap","given":"Darren S.","affiliations":[],"preferred":false,"id":728593,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Mumford, Adam C. 0000-0002-8082-8910 amumford@usgs.gov","orcid":"https://orcid.org/0000-0002-8082-8910","contributorId":197795,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam","email":"amumford@usgs.gov","middleInitial":"C.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":728594,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Poret-Peterson, Amisha T.","contributorId":179296,"corporation":false,"usgs":false,"family":"Poret-Peterson","given":"Amisha","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":728595,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Chambers, Douglas B. 0000-0002-5275-5427 dbchambe@usgs.gov","orcid":"https://orcid.org/0000-0002-5275-5427","contributorId":2520,"corporation":false,"usgs":true,"family":"Chambers","given":"Douglas B.","email":"dbchambe@usgs.gov","affiliations":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"preferred":true,"id":728596,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70190281,"text":"ofr20171111 - 2017 - Geologic assessment of undiscovered conventional oil and gas resources in the Lower Paleogene Midway and Wilcox Groups, and the Carrizo Sand of the Claiborne Group, of the Northern Gulf coast region","interactions":[],"lastModifiedDate":"2022-12-21T11:22:07.538254","indexId":"ofr20171111","displayToPublicDate":"2017-09-27T01:15:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1111","title":"Geologic assessment of undiscovered conventional oil and gas resources in the Lower Paleogene Midway and Wilcox Groups, and the Carrizo Sand of the Claiborne Group, of the Northern Gulf coast region","docAbstract":"The U.S. Geological Survey (USGS) recently conducted an assessment of the undiscovered, technically recoverable oil and gas potential of Tertiary strata underlying the onshore areas and State waters of the northern Gulf of Mexico coastal region. The assessment was based on a number of geologic elements including an evaluation of hydrocarbon source rocks, suitable reservoir rocks, and hydrocarbon traps in an Upper Jurassic-Cretaceous-Tertiary Composite Total Petroleum System defined for the region by the USGS. Five conventional assessment units (AUs) were defined for the Midway (Paleocene) and Wilcox (Paleocene-Eocene) Groups, and the Carrizo Sand of the Claiborne Group (Eocene) interval including: (1) the Wilcox Stable Shelf Oil and Gas AU; (2) the Wilcox Expanded Fault Zone Gas and Oil AU; (3) the Wilcox-Lobo Slide Block Gas AU; (4) the Wilcox Slope and Basin Floor Gas AU; and (5) the Wilcox Mississippi Embayment AU (not quantitatively assessed).
The USGS assessment of undiscovered oil and gas resources for the Midway-Wilcox-Carrizo interval resulted in estimated mean values of 110 million barrels of oil (MMBO), 36.9 trillion cubic feet of gas (TCFG), and 639 million barrels of natural gas liquids (MMBNGL) in the four assessed units. The undiscovered oil resources are almost evenly divided between fluvial-deltaic sandstone reservoirs within the Wilcox Stable Shelf (54 MMBO) AU and deltaic sandstone reservoirs of the Wilcox Expanded Fault Zone (52 MMBO) AU. Greater than 70 percent of the undiscovered gas and 66 percent of the natural gas liquids (NGL) are estimated to be in deep (13,000 to 30,000 feet), untested distal deltaic and slope sandstone reservoirs within the Wilcox Slope and Basin Floor Gas AU.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171111","usgsCitation":"Warwick, P.D., 2017, Geologic assessment of undiscovered conventional oil and gas resources in the lower Paleogene Midway and Wilcox Groups, and the Carrizo Sand of the Claiborne Group, of the northern Gulf Coast region: U.S. Geological Survey Open-File Report 2017–1111, 67 p., https://doi.org/10.3133/ofr20171111.","productDescription":"Report: vi, 60 p.; Appendixes 1-4","numberOfPages":"78","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-063993","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":410834,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ofr20171167","text":"Open-File Report 2017–1167","linkHelpText":"- Geologic Assessment of Undiscovered Gas Resources in Cretaceous–Tertiary Coal Beds of the U.S. Gulf of Mexico Coastal Plain"},{"id":346065,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1111/ofr20171111_appendix2.pdf","text":"Appendix 2","size":"490 KB","linkHelpText":"- Input Data Form for the Wilcox Expanded Fault Zone Gas and Oil Assessment Unit (50470117)"},{"id":346063,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1111/ofr20171111.pdf","text":"Report","size":"14.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1111"},{"id":346062,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1111/coverthb.jpg"},{"id":346066,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1111/ofr20171111_appendix3.pdf","text":"Appendix 3","size":"510 KB","linkHelpText":"- Input Data Form for the Wilcox-Lobo Slide Block Gas Assessment Unit (50470119)"},{"id":346067,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1111/ofr20171111_appendix4.pdf","text":"Appendix 4","size":"396 KB","linkHelpText":"- Input Data Form for the Wilcox Slope and Basin Floor Gas Assessment Unit (50470118)"},{"id":346064,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2017/1111/ofr20171111_appendix1.pdf","text":"Appendix 1","size":"389 KB","linkHelpText":"- Input Data Form for the Wilcox Stable Shelf Oil and Gas Assessment Unit (50470116)"}],"country":"United States","otherGeospatial":"Gulf of Mexico","contact":"Director, Eastern Energy Resources Science Center
U.S. Geological Survey
Mail Stop 956
12201 Sunrise Valley Drive
Reston, VA 20192
http://energy.usgs.gov/
Dauphin Island is a 26-km-long barrier island located southwest of Mobile Bay, Alabama, in the north-central Gulf of Mexico. The island contains sandy beaches, dunes, maritime forests, freshwater ponds and intertidal wetlands, providing habitat for many endangered and threatened species. Dauphin Island also provides protection for and maintains estuarine conditions within Mississippi Sound, supporting oyster habitat and seagrasses. Wetland marshes along the Alabama mainland are protected by the island from wave-induced erosion during storms approaching from the Gulf of Mexico. Over the years, the island has been eroded by storms, most recently by Hurricane Ivan (2004) and Hurricane Katrina (2005) (Ivan/Katrina), which breached the island along its narrowest extent and caused damage to infrastructure. Along with storms producing significant episodic change, long-term beach erosion has exposed numerous pine tree stumps in the shoreface. The stumps are remnants of past maritime forests and reflect the consistent landward retreat of the island.
Island change has prompted the State of Alabama to evaluate restoration alternatives to increase island resilience and sustainability by protecting and preserving the natural habitat, and by understanding the processes that influence shoreline change. Under a grant from the National Fish and Wildlife Foundation, restoration alternatives are being developed that will allow the State to make decisions on engineering and ecological restoration designs based on scientific analysis of likely outcomes and tradeoffs between impacts to stakeholder interests. Science-based assessment of the coastal zone requires accurate and up-to-date baseline data to provide a valid image of present conditions and to support modeling of coastal processes. Bathymetric elevation measurements are essential to this requirement. In August 2015, the U.S. Army Corps of Engineers and the U.S. Geological Survey conducted single beam and multibeam bathymetric surveys around Dauphin Island using a variety of shallow draft vessels and equipment. More than 95 square kilometers of seafloor was imaged. The data were integrated into a seamless digital elevation model to provide a high-resolution bathymetric map of the seafloor extending 9.5 kilometers seaward from the island’s eastern end and approximately 2 km along the rest of the island on the gulf and sound sides. Water depths range from 0.3 to 15.0 meters (m), with depths greater than 10.0 m constrained to the Mobile ship channel on the extreme eastern flank of the coverage.
To measure seafloor change, two periods of historic hydrographic survey data were acquired from the National Oceanic and Atmospheric Administration National Centers for Environmental Information data archive. The two timeframes (1987–1988 and 2005–2007) were selected for their completeness of spatial coverage and because they encompass a period of significant storm impacts to the island. These timeframes were compared to each other and with the 2015 dataset to monitor elevation gain (sediment accretion) and elevation loss (sediment erosion) over time. Sediment dynamics is by far the most significant driver of nearshore elevation change in this area. The Mississippi-Alabama inner shelf is a passive margin, and other influences on elevation change (for example, tectonic adjustment, Holocene subsidence, and eustatic sea-level rise) are neither significant nor variable enough over this time period to have an imprint.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171112","usgsCitation":"Flocks, J.G., DeWitt, N.T., and Stalk, C.A., 2018, Analysis of seafloor change around Dauphin Island, Alabama, 1987–2015 (ver. 1.1, February 2018):St. Petersburg Science Center
U.S. Geological Survey
600 4th Street, South
St Petersburg, FL 33701
The Lake Creek–Boundary Creek fault, previously mapped in Miocene bedrock as an oblique thrust on the north flank of the Olympic Mountains, poses a significant earthquake hazard. Mapping using 2015 light detection and ranging (lidar) confirms 2004 lidar mapping of postglacial (
Hundreds of thousands of bats are killed annually by colliding with wind turbines in the U.S., yet little is known about factors causing variation in mortality across wind energy facilities. We conducted a quantitative synthesis of bat collision mortality with wind turbines by reviewing 218 North American studies representing 100 wind energy facilities. This data set, the largest compiled for bats to date, provides further evidence that collision mortality is greatest for migratory tree-roosting species (Hoary Bat [Lasiurus cinereus], Eastern Red Bat [Lasiurus borealis], Silver-haired Bat [Lasionycteris noctivagans]) and from July to October. Based on 40 U.S. studies meeting inclusion criteria and analyzed under a common statistical framework to account for methodological variation, we found support for an inverse relationship between bat mortality and percent grassland cover surrounding wind energy facilities. At a national scale, grassland cover may best reflect openness of the landscape, a factor generally associated with reduced activity and abundance of tree-roosting species that may also reduce turbine collisions. Further representative sampling of wind energy facilities is required to validate this pattern. Ecologically informed placement of wind energy facilities involves multiple considerations, including not only factors associated with bat mortality, but also factors associated with bird collision mortality, indirect habitat-related impacts to all species, and overall ecosystem impacts.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.biocon.2017.09.014","usgsCitation":"Thompson, M., Beston, J.A., Etterson, M.A., Diffendorfer, J., and Loss, S., 2017, Factors associated with bat mortality at wind energy facilities in the United States: Biological Conservation, v. 215, p. 241-245, https://doi.org/10.1016/j.biocon.2017.09.014.","productDescription":"5 p.","startPage":"241","endPage":"245","ipdsId":"IP-084171","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":469502,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6490962","text":"Publisher Index Page"},{"id":346041,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"215","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"59ca15a6e4b017cf3140419f","contributors":{"authors":[{"text":"Thompson, Maureen","contributorId":196680,"corporation":false,"usgs":false,"family":"Thompson","given":"Maureen","email":"","affiliations":[],"preferred":false,"id":711099,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beston, Julie A. jbeston@usgs.gov","contributorId":5673,"corporation":false,"usgs":true,"family":"Beston","given":"Julie","email":"jbeston@usgs.gov","middleInitial":"A.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":711100,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Etterson, Matthew A.","contributorId":108012,"corporation":false,"usgs":false,"family":"Etterson","given":"Matthew","email":"","middleInitial":"A.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":711101,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Diffendorfer, James E. 0000-0003-1093-6948 jediffendorfer@usgs.gov","orcid":"https://orcid.org/0000-0003-1093-6948","contributorId":3208,"corporation":false,"usgs":true,"family":"Diffendorfer","given":"James E.","email":"jediffendorfer@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true},{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":711098,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Loss, Scott R.","contributorId":140471,"corporation":false,"usgs":false,"family":"Loss","given":"Scott R.","affiliations":[{"id":7249,"text":"Oklahoma State University","active":true,"usgs":false}],"preferred":false,"id":711102,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70191053,"text":"70191053 - 2017 - Projecting impacts of climate change on water availability using artificial neural network techniques","interactions":[],"lastModifiedDate":"2017-09-25T11:54:31","indexId":"70191053","displayToPublicDate":"2017-09-25T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2501,"text":"Journal of Water Resources Planning and Management","active":true,"publicationSubtype":{"id":10}},"title":"Projecting impacts of climate change on water availability using artificial neural network techniques","docAbstract":"Lago Loíza reservoir in east-central Puerto Rico is one of the primary sources of public water supply for the San Juan metropolitan area. To evaluate and predict the Lago Loíza water budget, an artificial neural network (ANN) technique is trained to predict river inflows. A method is developed to combine ANN-predicted daily flows with ANN-predicted 30-day cumulative flows to improve flow estimates. The ANN application trains well for representing 2007–2012 and the drier 1994–1997 periods. Rainfall data downscaled from global circulation model (GCM) simulations are used to predict 2050–2055 conditions. Evapotranspiration is estimated with the Hargreaves equation using minimum and maximum air temperatures from the downscaled GCM data. These simulated 2050–2055 river flows are input to a water budget formulation for the Lago Loíza reservoir for comparison with 2007–2012. The ANN scenarios require far less computational effort than a numerical model application, yet produce results with sufficient accuracy to evaluate and compare hydrologic scenarios. This hydrologic tool will be useful for future evaluations of the Lago Loíza reservoir and water supply to the San Juan metropolitan area.
This study presents new data-driven, annual estimates of the division of precipitation into the recharge, quick-flow runoff, and evapotranspiration (ET) water budget components for 2000-2013 for the contiguous United States (CONUS). The algorithms used to produce these maps ensure water budget consistency over this broad spatial scale, with contributions from precipitation influx attributed to each component at 800 m resolution. The quick-flow runoff estimates for the contribution to the rapidly varying portion of the hydrograph are produced using data from 1,434 gaged watersheds, and depend on precipitation, soil saturated hydraulic conductivity, and surficial geology type. Evapotranspiration estimates are produced from a regression using water balance data from 679 gaged watersheds and depend on land cover, temperature, and precipitation. The quick-flow and ET estimates are combined to calculate recharge as the remainder of precipitation. The ET and recharge estimates are checked against independent field data, and the results show good agreement. Comparisons of recharge estimates with groundwater extraction data show that in 15% of the country, groundwater is being extracted at rates higher than the local recharge. These maps of the internally consistent water budget components of recharge, quick-flow runoff, and ET, being derived from and tested against data, are expected to provide reliable first-order estimates of these quantities across the CONUS, even where field measurements are sparse.
","language":"English","publisher":"Wiley","doi":"10.1111/1752-1688.12546","usgsCitation":"Reitz, M., Sanford, W.E., Senay, G., and Cazenas, J., 2017, Annual estimates of recharge, quick-flow runoff, and ET for the contiguous U.S. using empirical regression equations: Journal of the American Water Resources Association, v. 53, no. 4, p. 961-983, https://doi.org/10.1111/1752-1688.12546.","productDescription":"23 p.","startPage":"961","endPage":"983","ipdsId":"IP-086069","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":345986,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"geometry\": {\n \"type\": \"MultiPolygon\",\n \"coordinates\": [\n 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Branch","active":true,"usgs":true}],"preferred":false,"id":710980,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sanford, Ward E. 0000-0002-6624-0280 wsanford@usgs.gov","orcid":"https://orcid.org/0000-0002-6624-0280","contributorId":2268,"corporation":false,"usgs":true,"family":"Sanford","given":"Ward","email":"wsanford@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":710981,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Senay, Gabriel B. 0000-0002-8810-8539 senay@usgs.gov","orcid":"https://orcid.org/0000-0002-8810-8539","contributorId":166812,"corporation":false,"usgs":true,"family":"Senay","given":"Gabriel","email":"senay@usgs.gov","middleInitial":"B.","affiliations":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true},{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":true,"id":710982,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cazenas, J.","contributorId":196649,"corporation":false,"usgs":true,"family":"Cazenas","given":"J.","email":"","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":false,"id":710983,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70191012,"text":"70191012 - 2017 - Ancient lakes, Pleistocene climates and river avulsions structure the phylogeography of a large but little-known rock scorpion from the Mojave and Sonoran deserts","interactions":[],"lastModifiedDate":"2017-09-20T17:23:29","indexId":"70191012","displayToPublicDate":"2017-09-20T00:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1019,"text":"Biological Journal of the Linnean Society","active":true,"publicationSubtype":{"id":10}},"title":"Ancient lakes, Pleistocene climates and river avulsions structure the phylogeography of a large but little-known rock scorpion from the Mojave and Sonoran deserts","docAbstract":"Recent syntheses of phylogeographical data from terrestrial animals in the Mojave and Sonoran deserts have revealed a complex history of geologic and climatic vicariance events. We studied the phylogeography of Smeringurus vachoni to see how vicariance events may have impacted a large, endemic rock scorpion. Additionally, we used the phylogeographical data to examine the validity of two subspecies of S. vachoni that were described using unconventional morphological characters. Phylogenetic, network and SAMOVA analyses indicate that S. vachoni consists of 11 clades mostly endemic to isolated desert mountain ranges. Molecular clock estimates suggest that clades diversified between the Miocene and early Pleistocene. Species distribution models predict a contraction of suitable habitat during the last glacial maximum. Landscape interpolations and Migrate-n analyses highlight areas of gene flow across the Colorado River. Smeringurus vachoni does not comprise two subspecies. Instead, the species represents at least 11 mitochondrial clades that probably diversified by vicariance associated with Pleistocene climate changes and formation of ancient lakes along the Colorado River corridor. Gene flow appears to have occurred from west to east across the Colorado River during periodic river avulsions.
","language":"English","publisher":"Oxford Academic","doi":"10.1093/biolinnean/blx058","usgsCitation":"Graham, M.R., Wood, D.A., Henault, J.A., Valois, Z.J., and Cushing, P.E., 2017, Ancient lakes, Pleistocene climates and river avulsions structure the phylogeography of a large but little-known rock scorpion from the Mojave and Sonoran deserts: Biological Journal of the Linnean Society, v. 122, no. 1, p. 133-146, https://doi.org/10.1093/biolinnean/blx058.","productDescription":"14 p.","startPage":"133","endPage":"146","ipdsId":"IP-083197","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":345978,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","otherGeospatial":"Mojave Desert, Sonoran Desert","volume":"122","issue":"1","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationDate":"2017-06-17","publicationStatus":"PW","scienceBaseUri":"59c37e36e4b091459a6316df","contributors":{"authors":[{"text":"Graham, Matthew R.","contributorId":196613,"corporation":false,"usgs":false,"family":"Graham","given":"Matthew","email":"","middleInitial":"R.","affiliations":[{"id":34649,"text":"Eastern Connectictut State University","active":true,"usgs":false}],"preferred":false,"id":710918,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wood, Dustin A. 0000-0002-7668-9911 dawood@usgs.gov","orcid":"https://orcid.org/0000-0002-7668-9911","contributorId":4179,"corporation":false,"usgs":true,"family":"Wood","given":"Dustin","email":"dawood@usgs.gov","middleInitial":"A.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":710919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Henault, Jonathan A.","contributorId":196614,"corporation":false,"usgs":false,"family":"Henault","given":"Jonathan","email":"","middleInitial":"A.","affiliations":[{"id":34649,"text":"Eastern Connectictut State University","active":true,"usgs":false}],"preferred":false,"id":710920,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Valois, Zachary J.","contributorId":196615,"corporation":false,"usgs":false,"family":"Valois","given":"Zachary","email":"","middleInitial":"J.","affiliations":[{"id":34651,"text":"Utah Museum of Natural History","active":true,"usgs":false}],"preferred":false,"id":710921,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cushing, Paula E.","contributorId":196616,"corporation":false,"usgs":false,"family":"Cushing","given":"Paula","email":"","middleInitial":"E.","affiliations":[{"id":27833,"text":"Denver Museum of Nature and Science","active":true,"usgs":false}],"preferred":false,"id":710922,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70190788,"text":"ofr20171116 - 2017 - Morphologic evolution of the wilderness area breach at Fire Island, New York—2012–15","interactions":[],"lastModifiedDate":"2024-12-27T15:18:20.876985","indexId":"ofr20171116","displayToPublicDate":"2017-09-18T11:00:00","publicationYear":"2017","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2017-1116","title":"Morphologic evolution of the wilderness area breach at Fire Island, New York—2012–15","docAbstract":"Hurricane Sandy, which made landfall on October 29, 2012, near Atlantic City, New Jersey, had a significant impact on the coastal system along the south shore of Long Island, New York. A record significant wave height of 9.6 meters (m) was measured at wave buoy 44025, approximately 48 kilometers offshore of Fire Island, New York. Surge and runup during the storm resulted in extensive beach and dune erosion and breaching of the Fire Island barrier island system at two locations, including a breach that formed within the Otis Pike Fire Island High Dune Wilderness area on the eastern side of Fire Island.
The U.S. Geological Survey (USGS) has a long history of conducting morphologic change and processes research at Fire Island. One of the primary objectives of the current research effort is to understand the morphologic evolution of the barrier system on a variety of time scales (from storm scale to decade(s) to century). A number of studies that support the project objectives have been published. Prior to Hurricane Sandy, however, little information was available on specific storm-driven change in this region. The USGS received Hurricane Sandy supplemental funding (project GS2–2B: Linking Coastal Processes and Vulnerability, Fire Island, New York, Regional Study) to enhance existing research efforts at Fire Island. The existing research was greatly expanded to include inner continental shelf mapping and investigations of processes of inner shelf sediment transport; beach and dune response and recovery; and observation, analysis, and modeling of the newly formed breach in the Otis Pike High Dune Wilderness area, herein referred to as the wilderness breach. The breach formed at the site of Old Inlet, which was open from 1763 to 1825. The location of the initial island breaching does not directly correspond with topographic lows of the dunes, but instead the breach formed in the location of a cross-island boardwalk that was destroyed during Hurricane Sandy.
From 2013 to November 2015, bathymetric data were collected by the USGS St. Petersburg Coastal and Marine Science Center during three surveys of the breach channel and tidal shoals, and shoreline positions on each side of the breach (also collected by the National Park Service). Additionally, pre-storm topography/bathymetry EAARL–B light detection and ranging (lidar) data were collected by the USGS the day prior to Hurricane Sandy’s landfall. These data serve as a baseline for change analyses during four subsequent periods: June 2013, June 2014, October 2014, and May 2015. The June 2013 single-beam bathymetry data were collected in collaboration with the U.S. Army Corps of Engineers (USACE), using the Lighter Amphibious Resupply Cargo (LARC) vessel, and included the ebb shoal and breach channel. The USGS collected and processed the three additional bathymetric datasets using personal watercraft equipped with single-beam echo sounders and backpack Global Positioning System (GPS) over shallow flood shoals.
Eastern and western breach shorelines were surveyed weekly to monthly beginning on November 6, 2012 (by the National Park Service [NPS], and USGS St. Petersburg Coastal and Marine Science Center), with measurements made every few weeks for the first year and every few months after October 2013. The NPS and researchers from Stony Brook University monitored the breach by collecting field data of the breach channel bathymetry, conducting aerial photographic overflights, and performing water-quality analyses (see http://po.msrc.sunysb.edu/GSB/). The aerial photography collected and rectified by Stony Brook University is used extensively in our morphologic change description to examine changes to breach shorelines (supplementing shoreline data collected in the field), channel width, and orientation. Due to the uncertainties and the variation in survey methods, a rigorous quantitative analysis was not performed. However, average calculations of various breach metrics allow a qualitative analysis of breach development and evolution.
This report presents an overview of the data collected and a summary discussion of the observed changes to the breach system and the seasonal wave climatology associated with the breach morphodynamic response.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20171116","usgsCitation":"Hapke, C.J., Nelson, T.R., Henderson, R.E., Brenner, O.T., and Miselis, J.L., 2017, Morphologic evolution of the wilderness area breach at Fire Island, New York—2012–15: U.S. Geological Survey Open-File Report 2017–1116, 17 p., https://doi.org/10.3133/ofr20171116.","productDescription":"Report: vi, 17 p.","numberOfPages":"24","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-086286","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":345809,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ds1049","text":"Data Series 1049","description":"Data Series 1049","linkHelpText":"- Coastal bathymetry data collected in May 2015 from Fire Island, New York—Wilderness breach and shoreface"},{"id":345808,"rank":5,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ds1034","text":"Data Series 1034","description":"Data Series 1034","linkHelpText":"Bathymetry data collected in October 2014 from Fire Island, New York—The wilderness breach, shoreface, and bay"},{"id":345810,"rank":7,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ds1007","text":"Data Series 1007","description":"Data Series 1007","linkHelpText":"- Coastal bathymetry data collected in June 2014 from Fire Island, New York—The wilderness breach and shoreface"},{"id":345750,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2017/1116/coverthb.jpg"},{"id":345805,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2017/1116/ofr20171116.pdf","text":"Report","size":"21.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2017-1116"},{"id":345806,"rank":3,"type":{"id":22,"text":"Related Work"},"url":"https://doi.org/10.3133/ds914","text":"Data Series 914","description":"Data Series 914","linkHelpText":"- Bathymetry of Wilderness Breach at Fire Island, New York from June 2013"},{"id":345807,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7G15Z17","text":"USGS data release","description":"USGS data release","linkHelpText":"Hurricane Sandy Beach Response and Recovery at Fire Island, New York—Shoreline and Beach Profile Data, October 2012 to June 2016"}],"country":"United States","state":"New York","otherGeospatial":"Fire Island","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -73.32000732421875,\n 40.6113461833302\n ],\n [\n -72.87574768066406,\n 40.6113461833302\n ],\n [\n -72.87574768066406,\n 40.73581157695217\n ],\n [\n -73.32000732421875,\n 40.73581157695217\n ],\n [\n -73.32000732421875,\n 40.6113461833302\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, St. Petersburg Coastal and Marine Science Center
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Arroyo Seco is a river that flows eastward out of the Santa Lucia Range in Monterey County, California. The Santa Lucia Range is considered part of the central California Coast Range. Arroyo Seco flows out of the Santa Lucia Range into the Salinas River valley, near the town of Greenfield, where it joins the Salinas River. The Salinas River flows north into Monterey Bay about 40 miles from where it merges with Arroyo Seco. In the mountain range, Arroyo Seco has cut or eroded a broad and deep valley. This valley preserves a geologic story in the landscape that is influenced by both fault-controlled mountain building (tectonics) and sea level fluctuations (regional climate).
Broad flat surfaces called river terraces, once eroded by Arroyo Seco, can be observed along the modern drainage. In the valley, terraces are also preserved like climbing stairs up to 1,800 feet above Arroyo Seco today. These terraces mark where Arroyo Seco once flowed.The terraces were formed by the river because no matter how high they are, the terraces are covered by gravel deposits exactly like those that can be observed in the river today. The Santa Lucia Range, Arroyo Seco, and the Salinas River valley must have looked very different when the highest and oldest terraces were forming. The Santa Lucia Range may have been lower, the Arroyo Seco may have been steeper and wider, and the Salinas River valley may have been much smaller.
Arroyo Seco, like all rivers, is always changing. Some-times rivers flow very straight, and sometimes they are curvy. Sometimes rivers are cutting down or eroding the landscape, and sometimes they are not eroding but depositing material. Sometimes rivers are neither eroding nor transporting material. The influences that change the behavior of Arroyo Seco are mountain uplift caused by fault moment and sea level changes driven by regional climate change. When a stream is affected by one or both of these influences, the stream accommodates the change by eroding, depositing, and (or) changing its shape.
In the vicinity of Arroyo Seco, the geologically young faulting history is relatively well understood. Geologists have some sense of the most recent faulting event and of the faulting in the recent geologic past. The timing of regional climate changes is also well accepted. In this area, warm climate cycles tend to cause the sea level to rise, and cool climate cycles tend to cause the sea level to fall. If we understand the way the terraces form and their ages in Arroyo Seco, we can draw conclusions about whether faulting and (or) climate contributed to their formation.
This publication serves as a descriptive companion to the formal geologic map of Arroyo Seco (Taylor and Sweetkind, 2014) and is intended for use by nonscientists and students. Included is a discussion of the processes that controlled the evolution of the drainage and the formation of the terraces in Arroyo Seco. The reader is guided to well-exposed landscape features in an easily accessible environment that will help nonscientists gain an understanding of how features on a geologic map are interpreted in terms of earth processes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/cir1425","usgsCitation":"Taylor, E.M., Sweetkind, D.S., and Havens, J.C., 2017, Investigating the landscape of Arroyo Seco—Decoding the past—A teaching guide to climate-controlled landscape evolution in a tectonically active region: U.S. Geological Survey Circular 1425, 44 p., https://doi.org/10.3133/c1425.","productDescription":"v, 45 p","numberOfPages":"56","onlineOnly":"N","ipdsId":"IP-074496","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":341359,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/circ/1425/coverthb2.jpg"},{"id":341360,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/circ/1425/c1425.pdf","text":"Report","size":"27.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Circular 1425"},{"id":345815,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/circ/1425/versionHist.txt","size":"4.0 kB","linkFileType":{"id":2,"text":"txt"},"description":"Circular 1425 Version History"}],"country":"United States","state":"California","county":"Monterey County","otherGeospatial":"Arroyo Seco","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -122.0855712890625,\n 36.89719446989036\n ],\n [\n -121.95373535156249,\n 36.91915611148194\n ],\n [\n -121.8988037109375,\n 36.89280138293983\n ],\n [\n -121.88232421875,\n 36.848856608486905\n ],\n [\n -121.84936523437499,\n 36.74768773190056\n ],\n [\n -121.86584472656251,\n 36.686041276581925\n ],\n [\n -121.8878173828125,\n 36.641977814705946\n ],\n [\n -121.9482421875,\n 36.66841891894786\n ],\n [\n -122.01416015625,\n 36.61552763134925\n ],\n [\n -122.00317382812499,\n 36.5670120564234\n ],\n [\n -121.9482421875,\n 36.26199220445664\n ],\n [\n -121.5911865234375,\n 36.00911716117325\n ],\n [\n -121.3385009765625,\n 35.652832827451654\n ],\n [\n -121.19567871093751,\n 35.60818490437746\n ],\n [\n -121.0308837890625,\n 35.40696093270201\n ],\n [\n -120.94299316406249,\n 35.42486791930558\n ],\n [\n -120.61889648437501,\n 35.303918565311704\n ],\n [\n -118.28979492187499,\n 35.25459097465022\n ],\n [\n -119.13574218749999,\n 36.619936625629215\n ],\n [\n -119.5037841796875,\n 36.91915611148194\n ],\n [\n -119.7015380859375,\n 37.155938651244625\n ],\n [\n -119.84985351562499,\n 37.24782120155428\n ],\n [\n -119.981689453125,\n 37.33522435930639\n ],\n [\n -121.06933593749999,\n 37.208456662000195\n ],\n [\n -121.57470703125,\n 37.077093191754436\n ],\n [\n -122.0855712890625,\n 36.89719446989036\n ]\n ]\n ]\n }\n }\n ]\n}","edition":"Version 1.0: Originally posted May 19, 2017; Version 1.1: September 15, 2017","contact":"Geosciences and Environmental Change Science Center
U.S. Geological Survey
Box 25046, Mail Stop 980
Denver, CO 80225-0046
Several streams used for recreational activities, such as fishing, swimming, and boating, in Chester County, Pennsylvania, are known to have periodic elevated concentrations of fecal coliform bacteria, a type of bacteria used to indicate the potential presence of fecally related pathogens that may pose health risks to humans exposed through water contact. The availability of near real-time continuous stream discharge, turbidity, and other water-quality data for some streams in the county presents an opportunity to use surrogates to estimate near real-time concentrations of fecal coliform (FC) bacteria and thus provide some information about associated potential health risks during recreational use of streams.
The U.S. Geological Survey (USGS), in cooperation with the Chester County Health Department (CCHD) and the Chester County Water Resources Authority (CCWRA), has collected discrete stream samples for analysis of FC concentrations during March–October annually at or near five gaging stations where near real-time continuous data on stream discharge, turbidity, and water temperature have been collected since 2007 (or since 2012 at 2 of the 5 stations). In 2014, the USGS, in cooperation with the CCWRA and CCHD, began to develop regression equations to estimate FC concentrations using available near real-time continuous data. Regression equations included possible explanatory variables of stream discharge, turbidity, water temperature, and seasonal factors calculated using Julian Day with base-10 logarithmic (log) transformations of selected variables.
The regression equations were developed using the data from 2007 to 2015 (101–106 discrete bacteria samples per site) for three gaging stations on Brandywine Creek (West Branch Brandywine Creek at Modena, East Branch Brandywine Creek below Downingtown, and Brandywine Creek at Chadds Ford) and from 2012 to 2015 (37–38 discrete bacteria samples per site) for one station each on French Creek near Phoenixville and White Clay Creek near Strickersville. Fecal coliform bacteria data collected by USGS in 2016 (about nine samples per site) were used to validate the equations. The best-fit regression equations included log turbidity and seasonality factors computed using Julian Day as explanatory variables to estimate log FC concentrations at all five stream sites. The adjusted coefficient of determination for the equations ranged from 0.61 to 0.76, with the strength of the regression equations likely affected in part by the limited amount and variability of FC bacteria data. During summer months, the estimated and measured FC concentrations commonly were greater than the Pennsylvania Department of Environmental Protection established standards of 200 and 400 colonies per 100 milliliters for water contact from May through September at the 5 stream sites, with concentrations typically higher at 2 sites (White Clay Creek and West Branch Brandywine Creek at Modena) than at the other 3 sites. The estimated concentrations of FC bacteria during the summer months commonly were higher than measured concentrations and therefore could be considered cautious estimates of potential human-health risk. Additional water-quality data are needed to maintain and (or) improve the ability of regression equations to estimate FC concentrations by use of surrogate data.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20175075","collaboration":"Prepared in cooperation with the Chester County Health Department and Chester County Water Resources Authority","usgsCitation":"Senior, L.A., 2017, Estimated fecal coliform bacteria concentrations using near real-time continuous water-quality and streamflow data from five stream sites in Chester County, Pennsylvania, 2007–16 (ver. 1.2, March 2024): U.S. Geological Survey Scientific Investigations Report 2017–5075, 46 p., https://doi.org/10.3133/sir20175075.","productDescription":"Report: x, 46 p.; Appendix 1-5; Data Release","numberOfPages":"60","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-084822","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":499300,"rank":10,"type":{"id":36,"text":"NGMDB Index 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Strickersville, Pennsylvania"},{"id":345655,"rank":6,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5075/sir20175075_appendix4.pdf","text":"Appendix 4","size":"348 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Model Archive Summary for Best-Fit Regression Developed to Estimate Fecal Coliform Concentration at Station 01472157; French Creek near Phoenixville, Pennsylvania"},{"id":345654,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5075/sir20175075_appendix3.pdf","text":"Appendix 3","size":"429 KB","linkFileType":{"id":1,"text":"pdf"},"linkHelpText":"- Model Archive Summary for Best-Fit Regression Developed to Estimate Fecal Coliform Concentration at Station 01481000; Brandywine Creek at Chadds Ford, Pennsylvania"},{"id":345653,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2017/5075/sir20175075_appendix2.pdf","text":"Appendix 2","size":"434 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1.0: September 2017; Version 1.1: April 2023; Version 1.2: March 2024","contact":"Director, Pennsylvania Water Science Center
U.S. Geological Survey
215 Limekiln Road
New Cumberland, PA 17070-2424
The Colorado Plateau hosts several large accumulations of naturally occurring, non-hydrocarbon gases, including CO2, N2, and the noble gases, making it a good field location to study the fluxes of these gases within the crust and to the atmosphere. In this study, we present a compilation of 1252 published gas-composition measurements. The data reveal at least three natural gas associations in the field area, which are dominated by hydrocarbons, CO2, and N2 + He + Ar, respectively. Most gas accumulations of the region exhibit compositions that are intermediate between the three end members. The first non-hydrocarbon gas association is characterized by very high-purity CO2, in excess of 75 mol% (hereafter, %). Many of these high-purity CO2 fields have recently been well described and interpreted as magmatic in origin. The second non-hydrocarbon gas association is less well described on the Colorado Plateau. It exhibits He concentrations on the order of 1–10%, and centered log ratio biplots show that He occurs proportionally to both N2 and Ar. Overall ratios of N2 to He to Ar are ≈100:10:1 and correlation in concentrations of these gases suggests that they have been sourced from the same reservoir and/or by a common process. To complement the analysis of the gas-composition data, stable isotope and noble-gas isotope measurements are compiled or newly reported from 11 representative fields (previously published data from 4 fields and new data from 7 fields). Gas sampled from the Harley Dome gas field in Utah contains nearly pure N2 + He + Ar. The various compositional and stable and noble gas isotopic data for this gas indicate that noble gas molecule/isotope ratios are near crustal radiogenic production values and also suggest a crustal N2 source. Across the field area, most of the high-purity N2 + He + Ar gas accumulations are associated with the mapped surface trace of structures or sutures in the Precambrian basement and are often accumulated in lower parts of the overlying Phanerozoic sedimentary cover. The high-purity gas association mostly occurs in areas interior to the plateau that are characterized by a narrow range of elevated, moderate heat flow values (53–74 mW/m2) in the ancient (1.8–1.6 Ga) basement terranes of the region. Collectively, the geochemical and geological data suggest that (1) the N2 + He + Ar gas association is sourced from a crustal reservoir, (2) the gas association migrates preferentially along structures in the Precambrian basement, and (3) the sourcing process relates to heating of the crust. Prospecting for noble-gas accumulations may target areas with elevated Cenozoic heat flow, ancient crust, and deep crustal structures that focus gas migration. High-purity CO2 gas may also migrate through regional basement structures, however, there is not always a clear spatial association. Rather, CO2 accumulations are more clearly associated with zones of high heat flow (>63 mW/m2) that sit above hot upper mantle and are proximal to Cenozoic volcanic rocksnear the plateau margins. These observations are consistent with previous interpretations of a magmatic gas source, which were based on geochemical measurements.