For ocean-island volcanoes, an understanding of rejuvenated-stage volcanism requires knowing the age of onset, duration of the volcanic episode, and length of quiescence that preceded the rejuvenated pulse. On the Island of Kaua‘i, cuttings from two lava flows intercepted in the Hanamā‘ulu well (Līhu‘e basin) and assigned to the Kōloa Volcanics on basis of major-element, trace-element, and isotope geochemistry have yielded 40Ar/39Ar ages of 3.11 and 3.22 Ma. A deeper lava, with age 3.42 Ma, is tentatively assigned to the Kōloa. These ages partly fill a 1 Myr gap in the previously published ages for the Kōloa Volcanics and suggest that rejuvenated-stage volcanism on Kaua‘i has persisted for 3.2 Myr or longer. The quiescent period may have been as short as 0.2–0.3 Myr, possibly briefer.
The eastern third of Kaua‘i subsided as much as 1.3 km along an island-long north-south fault between 4.7 and 3.4 Myr ago. The fault marks a stunted episode of extension, inasmuch as displacement diminishes rapidly from the inland area north and south toward the coast and the fault lacks expression on the island's submarine flanks. The Līhu‘e basin formed sometime thereafter: The new ages are from lava flows that bracket shallow marine sediment, so the basin had subsided below sea level before 3 Ma. Though poorly constrained, rates of subsidence are in the range of those from Lāna‘i, which today sits at a distance from the hotspot that is similar to the paleogeographic position of Kaua‘i 3 Ma.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hawaiian volcanoes: From source to surface","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"AGU Chapman Conference","conferenceDate":"August 20-24, 2012","conferenceLocation":"Waikoloa, Hawai'i","language":"English","publisher":"American Geophysical Union; John Wiley & Sons","publisherLocation":"Washington, D.C.","doi":"10.1002/9781118872079.ch6","usgsCitation":"Sherrod, D.R., Izuka, S.K., and Cousens, B., 2015, Onset of rejuvenated-stage volcanism and the formation of Līhu‘e Basin: Kaua‘i events that occurred 3-4 million years ago, chap. 6 of Hawaiian volcanoes: From source to surface: Geophysical Monograph, v. 208, p. 105-124, https://doi.org/10.1002/9781118872079.ch6.","productDescription":"20 p.","startPage":"105","endPage":"124","numberOfPages":"20","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-044896","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":311314,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawaii","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -161.092529296875,\n 18.594188856740413\n ],\n [\n -161.092529296875,\n 22.88756221517449\n ],\n [\n -154.412841796875,\n 22.88756221517449\n ],\n [\n -154.412841796875,\n 18.594188856740413\n ],\n [\n -161.092529296875,\n 18.594188856740413\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"208","noUsgsAuthors":false,"publicationDate":"2015-02-27","publicationStatus":"PW","scienceBaseUri":"564717d1e4b0e2669b313121","contributors":{"editors":[{"text":"Carey, Rebecca","contributorId":121557,"corporation":false,"usgs":true,"family":"Carey","given":"Rebecca","affiliations":[],"preferred":false,"id":692121,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cayol, Valerie","contributorId":121509,"corporation":false,"usgs":false,"family":"Cayol","given":"Valerie","email":"","affiliations":[],"preferred":false,"id":692122,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":127857,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":692123,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Weis, Dominique","contributorId":121531,"corporation":false,"usgs":true,"family":"Weis","given":"Dominique","affiliations":[],"preferred":false,"id":692124,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Sherrod, David R. 0000-0001-9460-0434 dsherrod@usgs.gov","orcid":"https://orcid.org/0000-0001-9460-0434","contributorId":527,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"dsherrod@usgs.gov","middleInitial":"R.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":518424,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Izuka, Scot K. 0000-0002-8758-9414 skizuka@usgs.gov","orcid":"https://orcid.org/0000-0002-8758-9414","contributorId":2645,"corporation":false,"usgs":true,"family":"Izuka","given":"Scot","email":"skizuka@usgs.gov","middleInitial":"K.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518425,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cousens, Brian L.","contributorId":84038,"corporation":false,"usgs":true,"family":"Cousens","given":"Brian L.","affiliations":[],"preferred":false,"id":518426,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70142063,"text":"ofr20151019 - 2015 - Obtaining valid geologic models from 3-D resistivity inversion of magnetotelluric data at Pahute Mesa, Nevada","interactions":[],"lastModifiedDate":"2015-02-27T13:07:46","indexId":"ofr20151019","displayToPublicDate":"2015-02-27T12:45:00","publicationYear":"2015","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":"2015-1019","title":"Obtaining valid geologic models from 3-D resistivity inversion of magnetotelluric data at Pahute Mesa, Nevada","docAbstract":"We summarize the results of a three-dimensional (3-D) resistivity inversion simulation that we conducted with the intent of characterizing the subsurface 3-D distribution of volcanic composite units of Pahute Mesa, Nevada, without any a priori information on the actual 3-D distribution of the known subsurface geology. The 3-D methodology involved using a 3-D geologic model based on drillhole data and average electrical resistivities of the key hydrostratigraphic units at Pahute Mesa to create a 3-D resistivity forward (“known”) model that depicted the subsurface resistivity structure expected for the input geologic configuration. The calculated magnetotelluric response of the modeled resistivity structure was then assumed to represent observed magnetotelluric data and was used as input into a 3-D resistivity inverse model that was allowed to iteratively estimate in 3-D without any a priori geologic information, in particular, the thickness and resistivity of the volcanic composite units. The resulting 3-D resistivity inversion simulation was compared to the “known” model and the results evaluated.
\nThe 3-D inversion was generally able to reproduce the gross resistivity structure of the “known” model, but the simulated conductive volcanic composite unit horizons were often too shallow when compared to the “known” model. Additionally, the chosen computation parameters such as station spacing appear to have resulted in computational artifacts that are difficult to interpret but could potentially be removed with further refinements of the 3-D resistivity inversion modeling technique.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151019","usgsCitation":"Rodriguez, B.D., and Sweetkind, D., 2015, Obtaining valid geologic models from 3-D resistivity inversion of magnetotelluric data at Pahute Mesa, Nevada: U.S. Geological Survey Open-File Report 2015-1019, iv, 104 p., https://doi.org/10.3133/ofr20151019.","productDescription":"iv, 104 p.","numberOfPages":"108","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-051924","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":298187,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20151019.jpg"},{"id":298185,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2015/1019/"},{"id":298186,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1019/pdf/ofr2015-1019.pdf","text":"Report","size":"20.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"datum":"North American 1983 Continental United States (CONUS) datum","country":"United States","state":"Nevada","otherGeospatial":"Pahute Mesa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -116.51687622070314,\n 37.22103367911787\n ],\n [\n -116.51687622070314,\n 37.33795407160059\n ],\n [\n -116.3733673095703,\n 37.33795407160059\n ],\n [\n -116.3733673095703,\n 37.22103367911787\n ],\n [\n -116.51687622070314,\n 37.22103367911787\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f19545e4b02419550ceaee","contributors":{"authors":[{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":541601,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sweetkind, Donald S. dsweetkind@usgs.gov","contributorId":130958,"corporation":false,"usgs":true,"family":"Sweetkind","given":"Donald S.","email":"dsweetkind@usgs.gov","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":541602,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70143049,"text":"70143049 - 2015 - Using a laboratory-based growth model to estimate mass- and temperature-dependent growth parameters across populations of juvenile Chinook Salmon","interactions":[],"lastModifiedDate":"2015-03-17T11:02:13","indexId":"70143049","displayToPublicDate":"2015-02-27T12:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3624,"text":"Transactions of the American Fisheries Society","active":true,"publicationSubtype":{"id":10}},"title":"Using a laboratory-based growth model to estimate mass- and temperature-dependent growth parameters across populations of juvenile Chinook Salmon","docAbstract":"To estimate the parameters that govern mass- and temperature-dependent growth, we conducted a meta-analysis of existing growth data from juvenile Chinook Salmon Oncorhynchus tshawytscha that were fed an ad libitum ration of a pelleted diet. Although the growth of juvenile Chinook Salmon has been well studied, research has focused on a single population, a narrow range of fish sizes, or a narrow range of temperatures. Therefore, we incorporated the Ratkowsky model for temperature-dependent growth into an allometric growth model; this model was then fitted to growth data from 11 data sources representing nine populations of juvenile Chinook Salmon. The model fit the growth data well, explaining 98% of the variation in final mass. The estimated allometric mass exponent (b) was 0.338 (SE = 0.025), similar to estimates reported for other salmonids. This estimate of b will be particularly useful for estimating mass-standardized growth rates of juvenile Chinook Salmon. In addition, the lower thermal limit, optimal temperature, and upper thermal limit for growth were estimated to be 1.8°C (SE = 0.63°C), 19.0°C (SE = 0.27°C), and 24.9°C (SE = 0.02°C), respectively. By taking a meta-analytical approach, we were able to provide a growth model that is applicable across populations of juvenile Chinook Salmon receiving an ad libitum ration of a pelleted diet.
","language":"English","publisher":"American Fisheries Society","publisherLocation":"Bethesda, MD","doi":"10.1080/00028487.2014.996667","usgsCitation":"Perry, R.W., Plumb, J.M., and Huntington, C., 2015, Using a laboratory-based growth model to estimate mass- and temperature-dependent growth parameters across populations of juvenile Chinook Salmon: Transactions of the American Fisheries Society, v. 144, no. 2, p. 331-336, https://doi.org/10.1080/00028487.2014.996667.","productDescription":"6 p.","startPage":"331","endPage":"336","numberOfPages":"6","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-053357","costCenters":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"links":[{"id":472258,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1080/00028487.2014.996667","text":"Publisher Index Page"},{"id":298618,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":298587,"type":{"id":15,"text":"Index Page"},"url":"https://afs.tandfonline.com/doi/full/10.1080/00028487.2014.996667#.VQdH9cIRC70"}],"volume":"144","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-27","publicationStatus":"PW","scienceBaseUri":"55095034e4b02e76d757e637","contributors":{"authors":[{"text":"Perry, Russell W. 0000-0003-4110-8619 rperry@usgs.gov","orcid":"https://orcid.org/0000-0003-4110-8619","contributorId":2820,"corporation":false,"usgs":true,"family":"Perry","given":"Russell","email":"rperry@usgs.gov","middleInitial":"W.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":542446,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Plumb, John M. 0000-0003-4255-1612 jplumb@usgs.gov","orcid":"https://orcid.org/0000-0003-4255-1612","contributorId":3569,"corporation":false,"usgs":true,"family":"Plumb","given":"John","email":"jplumb@usgs.gov","middleInitial":"M.","affiliations":[{"id":654,"text":"Western Fisheries Research Center","active":true,"usgs":true}],"preferred":true,"id":542447,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Huntington, Charles","contributorId":139682,"corporation":false,"usgs":false,"family":"Huntington","given":"Charles","email":"","affiliations":[{"id":12878,"text":"Clearwater BioStudies, Inc., 1160 Old Ferry Rd., Shady Cove, OR 95616","active":true,"usgs":false}],"preferred":false,"id":542448,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70142056,"text":"70142056 - 2015 - Experimental susceptibility of Wood Ducks (Aix sponsa) for West Nile virus","interactions":[],"lastModifiedDate":"2015-04-17T13:11:43","indexId":"70142056","displayToPublicDate":"2015-02-27T12:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2507,"text":"Journal of Wildlife Diseases","active":true,"publicationSubtype":{"id":10}},"title":"Experimental susceptibility of Wood Ducks (Aix sponsa) for West Nile virus","docAbstract":"Detection of West Nile virus (WNV) has been reported in a variety of wild ducks in the US, but little is known about the pathogenesis and outcome of exposure of the disease in these species. Previous experimental studies of WNV in ducks either have challenged a small number of ducks with WNV or have tested domesticated ducks. To determine susceptibility and immune response, we challenged 7-wk-old Wood Ducks (Aix sponsa) with a 1999 American Crow (Corvus brachyrhynchos) isolate of WNV. Wood Ducks were susceptible to infection with the virus, and, although clinical signs or mortality were not observed, microscopic lesions were noted, particularly in the heart and brain. West Nile virus viremia peaked on day 2 postinfection (pi) at 104.54 plaque-forming units (PFU) of virus/mL serum and WNV was shed orally (between 102and 102.9 PFU per swab) and cloacally. Specific anti-WNV antibody response was rapid, with anti-WNV IgM detected on day 3 pi followed on day 5 pi by anti-WNV IgG. Neutralizing antibodies were detected by plaque-reduction neutralization assay in one duck on day 4 pi, and in all sampled ducks on day 5. These results indicate that Wood Ducks are susceptible to WNV, but it is unlikely that significant WNV mortality events occur in Wood Ducks or that ducks play a significant role in transmission. However, WNV viremia was sufficient, in theory, to infect mosquitoes, and oral and cloacal shedding of the virus may increase the risk of infection to other waterbirds.
","language":"English","publisher":"Wildlife Disease Association","doi":"10.7589/2014-08-216","usgsCitation":"Hofmeister, E.K., Porter, R.E., and Franson, J., 2015, Experimental susceptibility of Wood Ducks (Aix sponsa) for West Nile virus: Journal of Wildlife Diseases, v. 51, no. 2, p. 411-418, https://doi.org/10.7589/2014-08-216.","productDescription":"8 p.","startPage":"411","endPage":"418","numberOfPages":"8","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-059588","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":298181,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"51","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f19538e4b02419550ceac1","contributors":{"authors":[{"text":"Hofmeister, Erik K. 0000-0002-6360-3912 ehofmeister@usgs.gov","orcid":"https://orcid.org/0000-0002-6360-3912","contributorId":3230,"corporation":false,"usgs":true,"family":"Hofmeister","given":"Erik","email":"ehofmeister@usgs.gov","middleInitial":"K.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":541591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Porter, Robert E.","contributorId":139511,"corporation":false,"usgs":false,"family":"Porter","given":"Robert","email":"","middleInitial":"E.","affiliations":[{"id":12784,"text":"University of Minnesota College of Veterinary Medicine, 1352 Boyd Ave, St Paul, MN 55108,","active":true,"usgs":false}],"preferred":false,"id":541592,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Franson, J. Christian 0000-0002-0251-4238 jfranson@usgs.gov","orcid":"https://orcid.org/0000-0002-0251-4238","contributorId":2157,"corporation":false,"usgs":true,"family":"Franson","given":"J. Christian","email":"jfranson@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":541593,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70142046,"text":"70142046 - 2015 - Age at vaccination may influence response to sylvatic plague vaccine (SPV) in Gunnison’s prairie dogs (Cynomys gunnisoni)","interactions":[],"lastModifiedDate":"2018-01-02T15:03:57","indexId":"70142046","displayToPublicDate":"2015-02-27T11:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1443,"text":"EcoHealth","active":true,"publicationSubtype":{"id":10}},"title":"Age at vaccination may influence response to sylvatic plague vaccine (SPV) in Gunnison’s prairie dogs (Cynomys gunnisoni)","docAbstract":"Gunnison’s prairie dogs (Cynomys gunnisoni) have been considered at greater risk from Yersinia pestis (plague) infection in the montane portion of their range compared to populations at lower elevations, possibly due to factors related to flea transmission of the bacteria or greater host susceptibility. To test the latter hypothesis and determine whether vaccination against plague with an oral sylvatic plague vaccine (SPV) improved survival, we captured prairie dogs from a C. g. gunnisoni or “montane” population and a C. g. zuniensis or “prairie” population for vaccine efficacy and challenge studies. No differences (P = 0.63) were found in plague susceptibility in non-vaccinated animals between these two populations; however, vaccinates from the prairie population survived plague challenge at significantly higher rates (P < 0.01) than those from the montane population. Upon further analysis, we determined that response to immunization was most likely associated with differences in age, as the prairie group was much younger on average than the montane group. Vaccinates that were juveniles or young adults survived plague challenge at a much higher rate than adults (P < 0.01 and P = 0.02, respectively), but no difference (P = 0.83) was detected in survival rates between control animals of different ages. These results suggest that host susceptibility is probably not related to the assumed greater risk from plague in the C. g. gunnisoni or “montane” populations of Gunnison’s prairie dogs, and that SPV could be a useful plague management tool for this species, particularly if targeted at younger cohorts.
","language":"English","publisher":"Springer","doi":"10.1007/s10393-014-1002-3","usgsCitation":"Rocke, T.E., Tripp, D.W., Lorenzsonn, F., Falendysz, E.A., Smith, S., Williamson, J.L., and Abbott, R.C., 2015, Age at vaccination may influence response to sylvatic plague vaccine (SPV) in Gunnison’s prairie dogs (Cynomys gunnisoni): EcoHealth, v. 12, no. 2, p. 278-287, https://doi.org/10.1007/s10393-014-1002-3.","productDescription":"10 p.","startPage":"278","endPage":"287","numberOfPages":"10","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060790","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":298179,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Colorado","otherGeospatial":"Buena Vista, Mancos","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -106.21994018554688,\n 38.89423942194029\n ],\n [\n -106.07025146484375,\n 38.90813299596705\n ],\n [\n -106.03042602539062,\n 38.78299298997704\n ],\n [\n -106.20758056640625,\n 38.78085193143006\n ],\n [\n -106.21994018554688,\n 38.89423942194029\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -108.34098815917967,\n 37.40943717748788\n ],\n [\n -108.22357177734375,\n 37.41107339721063\n ],\n [\n -108.21395874023438,\n 37.30409862820921\n ],\n [\n -108.35746765136717,\n 37.29481302008049\n ],\n [\n -108.35952758789062,\n 37.41052799460729\n ],\n [\n -108.34098815917967,\n 37.40943717748788\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"12","issue":"2","publishingServiceCenter":{"id":6,"text":"Columbus PSC"},"noUsgsAuthors":false,"publicationDate":"2015-01-15","publicationStatus":"PW","scienceBaseUri":"54f1952ae4b02419550ceaa2","contributors":{"authors":[{"text":"Rocke, Tonie E. 0000-0003-3933-1563 trocke@usgs.gov","orcid":"https://orcid.org/0000-0003-3933-1563","contributorId":2665,"corporation":false,"usgs":true,"family":"Rocke","given":"Tonie","email":"trocke@usgs.gov","middleInitial":"E.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":541560,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tripp, Daniel W.","contributorId":17910,"corporation":false,"usgs":false,"family":"Tripp","given":"Daniel","email":"","middleInitial":"W.","affiliations":[{"id":13449,"text":"Colorado Division of Parks and Wildlife","active":true,"usgs":false}],"preferred":false,"id":541561,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lorenzsonn, Faye","contributorId":139496,"corporation":false,"usgs":true,"family":"Lorenzsonn","given":"Faye","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":541562,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Falendysz, Elizabeth A. 0000-0003-2895-8918 efalendysz@usgs.gov","orcid":"https://orcid.org/0000-0003-2895-8918","contributorId":127735,"corporation":false,"usgs":true,"family":"Falendysz","given":"Elizabeth","email":"efalendysz@usgs.gov","middleInitial":"A.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":541563,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Smith, Susan 0000-0001-6478-5028 susansmith@usgs.gov","orcid":"https://orcid.org/0000-0001-6478-5028","contributorId":139497,"corporation":false,"usgs":true,"family":"Smith","given":"Susan","email":"susansmith@usgs.gov","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":false,"id":541564,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Williamson, Judy L. 0000-0001-7110-1632 jwilliamson@usgs.gov","orcid":"https://orcid.org/0000-0001-7110-1632","contributorId":3647,"corporation":false,"usgs":true,"family":"Williamson","given":"Judy","email":"jwilliamson@usgs.gov","middleInitial":"L.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":541565,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Abbott, Rachel C. 0000-0003-4820-9295 rabbott@usgs.gov","orcid":"https://orcid.org/0000-0003-4820-9295","contributorId":1183,"corporation":false,"usgs":true,"family":"Abbott","given":"Rachel","email":"rabbott@usgs.gov","middleInitial":"C.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":541566,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70154855,"text":"70154855 - 2015 - Are endocrine and reproductive biomarkers altered in contaminant-exposed wild male Largemouth Bass (Micropterus salmoides) of Lake Mead, Nevada/Arizona, USA?","interactions":[],"lastModifiedDate":"2015-07-17T12:55:59","indexId":"70154855","displayToPublicDate":"2015-02-27T11:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1738,"text":"General and Comparative Endocrinology","active":true,"publicationSubtype":{"id":10}},"title":"Are endocrine and reproductive biomarkers altered in contaminant-exposed wild male Largemouth Bass (Micropterus salmoides) of Lake Mead, Nevada/Arizona, USA?","docAbstract":"Male Largemouth Bass were sampled from two locations in Lake Mead (USA), a site influenced by treated municipal wastewater effluent and urban runoff (Las Vegas Bay), and a reference site (Overton Arm). Samples were collected in summer (July '07) and spring (March '08) to assess general health, endocrine and reproductive biomarkers, and compare contaminant body burdens by analyzing 252 organic chemicals. Sperm count and motility were measured in spring. Contaminants were detected at much higher frequencies and concentrations in fish from Las Vegas Bay than Overton Arm. Those with the highest concentrations included PCBs, DDTs, PBDEs, galaxolide, and methyl triclosan. Fish from Las Vegas Bay also had higher Fulton condition factor, hepatosomatic index, and hematocrit, and lower plasma 11-ketotestosterone concentration (KT). Gonadosomatic index (GSI) and sperm motility did not differ between sites, but sperm count was lower by nearly 50% in fish from Las Vegas Bay. A positive association between KT and GSI was identified, but this association was nonlinear. On average, maximal GSI was reached at sub-maximal KT concentrations. In conclusion, the higher concentration of contaminant body burdens coupled with reduced levels of KT and sperm count in fish from Las Vegas Bay suggest that male reproductive condition was influenced by contaminant exposures. Also, the nonlinear KT-GSI association provided a framework to understand why GSI was similar between male bass from both sites despite their large difference in KT, and also suggested the existence of post-gonadal growth functions of KT at high concentrations.
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synthesized an expert review of climate change implications for hydroecological and terrestrial ecological systems in the northern coastal temperate rainforest of North America. Our synthesis is based on an analysis of projected temperature, precipitation, and snowfall stratified by eight biogeoclimatic provinces and three vegetation zones. Five IPCC CMIP5 global climate models (GCMs) and two representative concentration pathways (RCPs) are the basis for projections of mean annual temperature increasing from a current average (1961–1990) of 3.2 °C to 4.9–6.9 °C (5 GCM range; RCP4.5 scenario) or 6.4–8.7 °C (RCP8.5), mean annual precipitation increasing from 3130 mm to 3210–3400 mm (3–9 % increase) or 3320–3690 mm (6–18 % increase), and total precipitation as snow decreasing from 1200 mm to 940–720 mm (22–40 % decrease) or 720–500 mm (40–58 % decrease) by the 2080s (2071–2100; 30-year normal period). These projected changes are anticipated to result in a cascade of ecosystem-level effects including: increased frequency of flooding and rain-on-snow events; an elevated snowline and reduced snowpack; changes in the timing and magnitude of stream flow, freshwater thermal regimes, and riverine nutrient exports; shrinking alpine habitats; altitudinal and latitudinal expansion of lowland and subalpine forest types; shifts in suitable habitat boundaries for vegetation and wildlife communities; adverse effects on species with rare ecological niches or limited dispersibility; and shifts in anadromous salmon distribution and productivity. Our collaborative synthesis of potential impacts highlights the coupling of social and ecological systems that characterize the region as well as a number of major information gaps to help guide assessments of future conditions and adaptive capacity.
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The first objective is to gain better understanding of the physical processes involved in landslide initiation and movement. This objective is largely in support of the second objective, to develop predictive capabilities to answer the main hazard questions. Answers to the following six questions are needed to characterize the hazard from landslides: (1) Where will landslides occur? (2) What kind(s) of landslides will occur? (3) When will landslides occur? (4) How big will the landslides be? (5) How fast will the landslides travel? (6) How far will the landslides go? Although these questions are sometimes recast in different terms, such as frequency or recurrence rather than timing (when), the questions or their variants address the spatial, physical, and temporal aspects of landslide hazards. Efforts to develop modeling and forecasting capabilities by the USGS are primarily focused on specific landslide types that pose a high degree of hazard and show relatively high potential for predictability.
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\"}}]}","volume":"208","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-27","publicationStatus":"PW","scienceBaseUri":"5645c660e4b0e2669b30f235","contributors":{"editors":[{"text":"Carey, Rebecca","contributorId":121557,"corporation":false,"usgs":true,"family":"Carey","given":"Rebecca","affiliations":[],"preferred":false,"id":692155,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cayol, Valerie","contributorId":121509,"corporation":false,"usgs":false,"family":"Cayol","given":"Valerie","email":"","affiliations":[],"preferred":false,"id":692156,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":127857,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":692157,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Weis, Dominique","contributorId":121531,"corporation":false,"usgs":true,"family":"Weis","given":"Dominique","affiliations":[],"preferred":false,"id":692158,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":127857,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":692183,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70144542,"text":"70144542 - 2015 - Are Piton de la Fournaise (La Réunion) and Kīlauea (Hawai‘i) really “Analog Volcanoes”?","interactions":[],"lastModifiedDate":"2019-12-11T07:06:57","indexId":"70144542","displayToPublicDate":"2015-02-27T00:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"seriesTitle":{"id":5371,"text":"Geophysical Monograph","active":true,"publicationSubtype":{"id":24}},"chapter":"23","title":"Are Piton de la Fournaise (La Réunion) and Kīlauea (Hawai‘i) really “Analog Volcanoes”?","docAbstract":"The basaltic ocean island volcanoes of Kīlauea (Island of Hawai‘i) and Piton de la Fournaise (La Réunion Island) are remarkable natural laboratories for volcanology. Both are near the active ends of long hotspot chains and host frequent eruptive activity (both effusive and explosive). Investigations of the geophysical, geochemical, and geologic manifestations of volcanism at the two locales provide insights into a variety of processes, from the supply of magma to its eruption at the surface. The oft-stated claim that Kīlauea and Piton de la Fournaise are “analog volcanoes” appears well founded, at least in part. The two volcanoes share similar characteristics with regard to magma plumbing, occurrence of flank instability, structural and compositional evolution, and eruptive activity. Noteworthy differences include the size of the edifices (Kīlauea is about an order-of-magnitude larger in volume), their life spans (Piton de la Fournaise has been active for twice as long), and flank instability mechanisms. These differences are attributable to Hawai‘i's higher magma supply from and faster plate velocity relative to the hotspot compared to Piton de la Fournaise. Understanding these similarities and differences can be used to leverage studies of processes at one volcano by exploiting their occurrence or absence at the other.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Hawaiian volcanoes: From source to surface","largerWorkSubtype":{"id":15,"text":"Monograph"},"conferenceTitle":"AGU Chapman Conference","conferenceDate":"August 20-24, 2012","conferenceLocation":"Waikoloa, Hawai'i","language":"English","publisher":"American Geophysical Union","publisherLocation":"Washington, D.C.","doi":"10.1002/9781118872079.ch23","isbn":"978-1-118-87204-8","usgsCitation":"Poland, M.P., Peltier, A., and Staudacher, T., 2015, Are Piton de la Fournaise (La Réunion) and Kīlauea (Hawai‘i) really “Analog Volcanoes”?, chap. 23 of Hawaiian volcanoes: From source to surface: Geophysical Monograph, v. 208, p. 507-531, https://doi.org/10.1002/9781118872079.ch23.","productDescription":"25 p.","startPage":"507","endPage":"531","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052237","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":310624,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States, France","state":"Hawaii","otherGeospatial":"Kīlauea, Piton de la Fournaise","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -162.94921875,\n 22.43134015636061\n ],\n [\n -157.412109375,\n 18.729501999072138\n ],\n [\n -154.775390625,\n 18.729501999072138\n ],\n [\n -154.51171875,\n 21.04349121680354\n ],\n [\n -162.94921875,\n 22.43134015636061\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 54.95361328125,\n -21.493963563064455\n ],\n [\n 55.931396484375,\n -21.493963563064455\n ],\n [\n 55.931396484375,\n -20.735565905218625\n ],\n [\n 54.95361328125,\n -20.735565905218625\n ],\n [\n 54.95361328125,\n -21.493963563064455\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"208","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-27","publicationStatus":"PW","scienceBaseUri":"562b5a29e4b00162522207bc","contributors":{"editors":[{"text":"Carey, Rebecca","contributorId":121557,"corporation":false,"usgs":true,"family":"Carey","given":"Rebecca","affiliations":[],"preferred":false,"id":692151,"contributorType":{"id":2,"text":"Editors"},"rank":1},{"text":"Cayol, Valerie","contributorId":121509,"corporation":false,"usgs":false,"family":"Cayol","given":"Valerie","email":"","affiliations":[],"preferred":false,"id":692152,"contributorType":{"id":2,"text":"Editors"},"rank":2},{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":127857,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":692153,"contributorType":{"id":2,"text":"Editors"},"rank":3},{"text":"Weis, Dominique","contributorId":121531,"corporation":false,"usgs":true,"family":"Weis","given":"Dominique","affiliations":[],"preferred":false,"id":692154,"contributorType":{"id":2,"text":"Editors"},"rank":4}],"authors":[{"text":"Poland, Michael P. 0000-0001-5240-6123 mpoland@usgs.gov","orcid":"https://orcid.org/0000-0001-5240-6123","contributorId":127857,"corporation":false,"usgs":true,"family":"Poland","given":"Michael","email":"mpoland@usgs.gov","middleInitial":"P.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":false,"id":543698,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peltier, Aline","contributorId":149410,"corporation":false,"usgs":false,"family":"Peltier","given":"Aline","email":"","affiliations":[],"preferred":false,"id":578323,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Staudacher, Thomas","contributorId":149411,"corporation":false,"usgs":false,"family":"Staudacher","given":"Thomas","email":"","affiliations":[],"preferred":false,"id":578324,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70142998,"text":"70142998 - 2015 - Wide-ranging phylogeographic structure of invasive red lionfish in the Western Atlantic and Greater Caribbean","interactions":[],"lastModifiedDate":"2016-11-22T18:37:58","indexId":"70142998","displayToPublicDate":"2015-02-26T13:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2660,"text":"Marine Biology","active":true,"publicationSubtype":{"id":10}},"title":"Wide-ranging phylogeographic structure of invasive red lionfish in the Western Atlantic and Greater Caribbean","docAbstract":"The red lionfish (Pterois volitans) is an invasive predatory marine fish that has rapidly expanded its presence in the Western Hemisphere. We collected 214 invasive red lionfish samples from nine countries and territories, including seven unpublished locations. To more comprehensively evaluate connectivity, we compiled our d-loop sequence data with 846 published sequences, resulting in 1,060 samples from 14 locations. We found low nucleotide diversity (π = 0.003) and moderate haplotype diversity (h = 0.59). Using haplotype population pairwise ΦST tests, we analyzed possible phylogeographic breaks that were previously proposed based on other reef organisms. We found support for the Bahamas/Turks/Caicos versus Caribbean break (ΦST = 0.12) but not for the Northwestern Caribbean, Eastern Caribbean, or US East Coast versus Bahamas breaks. The Northern Region had higher variation and more haplotypes, supporting introductions of at least five haplotypes to the region. Our wide-ranging samples showed that a lower-frequency haplotype in the Northern Region dominated the Southern Region and suggested multiple introductions, possibly to the south. We tested multiple scenarios of phylogeographic structure with analyses of molecular variance and found support for a Northern and Southern Region split at the Bahamas/Turks/Caicos versus Caribbean break (percentage of variation among regions = 8.49 %). We found that Puerto Rico clustered with the Southern Region more strongly than with the Northern Region, as opposed to previous reports. We also found the rare haplotype H03 for the first time in the southern Caribbean (Panama), indicating that either secondary releases occurred or that the low-frequency haplotypes have had time to disperse to extreme southern Caribbean locations.
Groundwater quality in the 633-square-mile (1,639-square-kilometer) Northern Coast Ranges (NOCO) study unit was investigated as part of the Priority Basin Project (PBP) of the Groundwater Ambient Monitoring and Assessment (GAMA) Program and the U.S. Geological Survey (USGS) National Water-Quality Assessment Program. The study unit is composed of two study areas (Interior Basins and Coastal Basins) and is located in northern California in Napa, Sonoma, Lake, Colusa, Mendocino, Glenn, Humboldt, and Del Norte Counties. The GAMA-PBP is being conducted by the California State Water Resources Control Board in collaboration with the USGS and the Lawrence Livermore National Laboratory.
\nThe GAMA NOCO study was designed to provide a spatially unbiased assessment of the quality of untreated (ambient) groundwater in the primary aquifer system within the study unit. The assessment is based on water-quality and ancillary data collected in 2009 by the USGS from 58 sites and on water-quality data from the California Department of Public Health (CDPH) database. The primary aquifer system is defined by the perforation intervals of sites listed in the CDPH water-quality database for the NOCO study unit. Groundwater quality in the primary aquifer system may differ from the quality in the shallow or deep water-bearing zones.
\nThe first component of this study, the status assessment of the current quality of the groundwater resource, was performed by using data from samples analyzed for inorganic constituents (such as trace elements and major and minor ions), organic constituents (volatile organic compounds and pesticides and pesticide degradates), the special-interest constituent perchlorate, and microbial indicators. This status assessment is intended to characterize the quality of groundwater resources in the primary aquifer system of the NOCO study unit, not the quality of treated drinking water delivered to consumers by water purveyors.
\nRelative-concentrations (sample concentration divided by the health- or aesthetic-based benchmark concentration) were used for evaluating groundwater quality for those constituents that have Federal or California regulatory or nonregulatory benchmarks for drinking-water quality. A relative-concentration greater than (>) 1.0 indicates a concentration greater than a benchmark, and a relative-concentration less than or equal to (≤) 1.0 indicates a concentration less than or equal to a benchmark. Relative-concentrations of organic constituents and perchlorate were classified as “high” (relative-concentration >1.0), “moderate” (0.1 < relative-concentration ≤1.0), or “low” (relative-concentration ≤0.1). Relative-concentrations of inorganic constituents were classified as “high” (relative-concentration >1.0), “moderate” (0.5 < relative-concentration ≤1.0), or “low” (relative-concentration ≤0.5).
\nAquifer-scale proportion was used as the primary metric in the status assessment for evaluating regional-scale groundwater quality. High aquifer-scale proportion was defined as the percentage of the area of the primary aquifer system with a relative-concentration >1.0 for a particular constituent or class of constituents; the percentage is based on an aerial rather than a volumetric basis. Moderate and low aquifer-scale proportions were defined as the percentage of the primary aquifer system with moderate and low relative-concentrations, respectively. Two statistical approaches—grid-based and spatially weighted—were used to evaluate aquifer-scale proportions for individual constituents and classes of constituents. Grid-based and spatially weighted estimates were comparable in the NOCO study unit (within 90 percent confidence intervals).
\nInorganic constituents (one or more) with health-based benchmarks were detected at high relative-concentrations in 10.3 percent and at moderate relative-concentrations in 13.8 percent of the primary aquifer system. The high aquifer-scale proportion of inorganic constituents primarily reflected high aquifer-scale proportions of boron (in 8.6 percent of the primary aquifer system), arsenic (in 3.4 percent), and barium (in 1.7 percent). Inorganic constituents with aesthetic-based benchmarks were detected at high relative-concentrations in 39.7 percent and at moderate relative-concentrations in 10.3 percent of the primary aquifer system. The constituents present at high relative-concentrations were iron (25.9 percent) and manganese (39.7 percent).
\nRelative-concentrations of organic constituents with health-based benchmarks (one or more) were high in 0.2 percent, moderate in 1.7 percent, and low in 39.7 percent of the primary aquifer system. Organic constituents were not detected in 58.4 percent of the primary aquifer system. Of the 168 organic constituents analyzed, 11 constituents were detected. Two organic constituents had detection frequencies >10 percent: the trihalomethane chloroform and the herbicide simazine. For the 10 detected organic constituents that had health-based benchmarks, nearly all detections had low relative-concentrations. The special-interest constituent perchlorate was detected at moderate relative-concentrations in 1.7 percent and at low relative-concentrations in 22.4 percent of the primary aquifer system. Perchlorate was not detected in 75.9 percent of the primary aquifer system.
\nThe second component of this study, the understanding assessment, evaluated relations between constituent concentrations and values of selected potential explanatory factors to identify the factors potentially affecting the concentrations and occurrences of constituents found at high relative-concentrations or, for organic constituents, with detection frequencies >10 percent. The potential explanatory factors evaluated were land use (including density of septic tanks and leaking or formerly leaking underground fuel tanks), well construction (well depth and depth to the top of the perforated interval in the well), hydrologic conditions (aridity index, field water temperature, and distance to nearest hot spring and geothermal well), pH, dissolved oxygen concentration, study area, groundwater age distribution, and geochemical conditions.
\nHigh and moderate relative-concentrations of boron primarily occurred in the Interior Basins study area and may be attributed to groundwater interacting with hydrothermal systems. High and moderate relative-concentrations of boron were associated with elevated groundwater temperatures, groundwater chemistry characteristics similar to those of geothermal waters, and distance to known geothermal areas. Boron concentrations generally were higher where low dissolved oxygen concentrations or anoxic conditions exist. High and moderate relative-concentrations of arsenic predominantly occur in the Interior Basins study area under reducing conditions. Arsenic concentrations also may be influenced by hydrothermal systems (when present).
\nChloroform, simazine, and perchlorate were observed in the Interior Basins and Coastal Basins study areas, predominantly at shallow sites with top-of-perforation depths ≤70 feet below land surface, with modern water (post-1950s), and with oxic groundwater conditions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145215","collaboration":"Prepared in cooperation with the California State Water Resources Control Board and the U.S. Geological Survey National Water-Quality Assessment Program","usgsCitation":"Mathany, T.M., and Belitz, K., 2015, Status and understanding of groundwater quality in the Northern Coast Ranges study unit, 2009: California GAMA Priority Basin Project: U.S. Geological Survey Scientific Investigations Report 2014-5215, x, 86 p., https://doi.org/10.3133/sir20145215.","productDescription":"x, 86 p.","numberOfPages":"100","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2009-01-01","temporalEnd":"2009-12-31","ipdsId":"IP-030141","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":298170,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145215.jpg"},{"id":298169,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5215/pdf/sir2014-5215.pdf","text":"Report","size":"13.1 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298148,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5215/"}],"country":"United States","state":"California","county":"Colusa County, Del Norte County, Glenn County, Humboldt County, Lake County, Mendocino County, Napa County, Sonoma County","otherGeospatial":"Northern Coast Ranges","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.541015625,\n 38.66835610151509\n ],\n [\n -124.541015625,\n 41.96765920367816\n ],\n [\n -121.79443359375,\n 41.96765920367816\n ],\n [\n -121.79443359375,\n 38.66835610151509\n ],\n [\n -124.541015625,\n 38.66835610151509\n ]\n ]\n ]\n }\n }\n ]\n}","publicComments":"A product of the California Groundwater Ambient Monitoring and Assessment (GAMA) Program","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f043afe4b02419550ce86c","contributors":{"authors":[{"text":"Mathany, Timothy M. 0000-0002-4747-5113 tmathany@usgs.gov","orcid":"https://orcid.org/0000-0002-4747-5113","contributorId":1713,"corporation":false,"usgs":true,"family":"Mathany","given":"Timothy","email":"tmathany@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":541550,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":541551,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70116921,"text":"ofr20141109 - 2015 - GRIDGEN Version 1.0: a computer program for generating unstructured finite-volume grids","interactions":[],"lastModifiedDate":"2015-02-26T10:52:37","indexId":"ofr20141109","displayToPublicDate":"2015-02-26T11:45:00","publicationYear":"2015","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":"2014-1109","title":"GRIDGEN Version 1.0: a computer program for generating unstructured finite-volume grids","docAbstract":"GRIDGEN is a computer program for creating layered quadtree grids for use with numerical models, such as the MODFLOW–USG program for simulation of groundwater flow. The program begins by reading a three-dimensional base grid, which can have variable row and column widths and spatially variable cell top and bottom elevations. From this base grid, GRIDGEN will continuously divide into four any cell intersecting user-provided refinement features (points, lines, and polygons) until the desired level of refinement is reached. GRIDGEN will then smooth, or balance, the grid so that no two adjacent cells, including overlying and underlying cells, differ by more than a user-specified level tolerance. Once these gridding processes are completed, GRIDGEN saves a tree structure file so that the layered quadtree grid can be quickly reconstructed as needed. Once a tree structure file has been created, GRIDGEN can then be used to (1) export the layered quadtree grid as a shapefile, (2) export grid connectivity and cell information as ASCII text files for use with MODFLOW–USG or other numerical models, and (3) intersect the grid with shapefiles of points, lines, or polygons, and save intersection output as ASCII text files and shapefiles. The GRIDGEN program is demonstrated by creating a layered quadtree grid for the Biscayne aquifer in Miami-Dade County, Florida, using hydrologic features to control where refinement is added.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141109","collaboration":"Prepared in cooperation with George Mason University","usgsCitation":"Lien, J., Liu, G., and Langevin, C.D., 2015, GRIDGEN Version 1.0: a computer program for generating unstructured finite-volume grids: U.S. Geological Survey Open-File Report 2014-1109, vi, 26 p., https://doi.org/10.3133/ofr20141109.","productDescription":"vi, 26 p.","numberOfPages":"36","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-055584","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":298168,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141109.jpg"},{"id":298166,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1109/"},{"id":298167,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1109/pdf/ofr2014-1109.pdf","text":"Report","size":"1.93 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f043aae4b02419550ce862","contributors":{"authors":[{"text":"Lien, Jyh-Ming","contributorId":139494,"corporation":false,"usgs":true,"family":"Lien","given":"Jyh-Ming","email":"","affiliations":[],"preferred":false,"id":541557,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Liu, Gaisheng","contributorId":15158,"corporation":false,"usgs":true,"family":"Liu","given":"Gaisheng","email":"","affiliations":[],"preferred":false,"id":541558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Langevin, Christian D. 0000-0001-5610-9759 langevin@usgs.gov","orcid":"https://orcid.org/0000-0001-5610-9759","contributorId":1030,"corporation":false,"usgs":true,"family":"Langevin","given":"Christian","email":"langevin@usgs.gov","middleInitial":"D.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true}],"preferred":true,"id":519055,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70133291,"text":"fs20143114 - 2015 - Groundwater quality in the Northern Coast Ranges Basins, California","interactions":[],"lastModifiedDate":"2018-05-24T12:52:45","indexId":"fs20143114","displayToPublicDate":"2015-02-26T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-3114","title":"Groundwater quality in the Northern Coast Ranges Basins, California","docAbstract":"The Northern Coast Ranges (NOCO) study unit is 633 square miles and consists of 35 groundwater basins and subbasins (California Department of Water Resources, 2003; Mathany and Belitz, 2015). These basins and subbasins were grouped into two study areas based primarily on locality. The groundwater basins and subbasins located inland, not adjacent to the Pacific Ocean, were aggregated into the Interior Basins (NOCO-IN) study area. The groundwater basins and subbasins adjacent to the Pacific Ocean were aggregated into the Coastal Basins (NOCO-CO) study area (Mathany and others, 2011).
\nThe primary aquifer system in the NOCO-IN study area occurs in alluvial basins made up of sand, silt, gravel, clay, and thin volcanic ash layers or lenses. Groundwater movement in the NOCO-IN study area follows the topography and direction of surface-water features. In the NOCO-CO study area, groundwater is present in alluvial fan, floodplain, and terrace deposits. Groundwater movement in the NOCO-CO study area is from east to west towards the Pacific Ocean.
\nThe primary aquifer system in the study unit generally is defined as those parts of the aquifer system corresponding to the perforated intervals of sites listed in the California Department of Public Health (CDPH) database of public drinking-water supply sources. Well depths in the NOCO-IN study area ranged from 36 to 400 feet below land surface (ft bls), and depths to top-of-perforations ranged from 15 to 148 ft bls. In the NOCO-CO study area, well depths ranged from 15 to 400 ft bls, and depths to top-of-perforations ranged from 10 to 356 ft bls. Water quality in the primary aquifer system may differ from that in the shallower and deeper parts of the aquifer system.
\nAverage annual rainfall in the NOCO study unit ranges from 22 to 79 inches. In the NOCO-IN study area, the climate is classified as Mediterranean, with warm to hot, dry summers and cold, wet winters. In the NOCO-CO study area, the climate is influenced by the Pacific Ocean and is characterized by cool to mild summers and cold, wet winters. The study unit is drained by several rivers and their principal tributaries: the Eel, Russian, Mad, Navarro, Smith, Klamath, Noyo, and Big Rivers.
\nLand use in the study unit is about 60 percent (%) natural (mostly grassland and forest), 29% agricultural, and 11% urban. The primary uses of agricultural lands are pasture, row crops, hay, vineyards, and timberlands. The largest urban areas are the cities of Crescent City, Arcata, Eureka, Fort Bragg, Willits, Ukiah, and Lakeport.
\nRecharge to the groundwater system is primarily from mixture of ambient sources, including direct percolation of precipitation and irrigation waters, infiltration of runoff from surrounding hills/areas, seepage from rivers and creeks, and subsurface inflow (from non-alluvial geologic units that bound the alluvial basins). The primary sources of discharge are evaporation, discharge to streams, and water pumped for municipal supply and irrigation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20143114","collaboration":"U.S. Geological Survey and the California State Water Resources Control Board","usgsCitation":"Mathany, T.M., and Belitz, K., 2015, Groundwater quality in the Northern Coast Ranges Basins, California: U.S. Geological Survey Fact Sheet 2014-3114, 4 p., https://doi.org/10.3133/fs20143114.","productDescription":"4 p.","onlineOnly":"N","additionalOnlineFiles":"Y","ipdsId":"IP-044056","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"links":[{"id":298165,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20143114.JPG"},{"id":298163,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2014/3114/pdf/fs2014-3114.pdf","text":"Report","size":"1.6 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298164,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/sir/2014/5215/","text":"Scientific Investigations Report 2014-5215","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Scientific Investigations Report 2014-5215"},{"id":298147,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2014/3114/"}],"country":"United States","state":"California","otherGeospatial":"Northern Coast Ranges","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -124.541015625,\n 38.66835610151509\n ],\n [\n -124.541015625,\n 41.96765920367816\n ],\n [\n -121.79443359375,\n 41.96765920367816\n ],\n [\n -121.79443359375,\n 38.66835610151509\n ],\n [\n -124.541015625,\n 38.66835610151509\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":1,"text":"Sacramento PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f043ace4b02419550ce864","contributors":{"authors":[{"text":"Mathany, Timothy M. 0000-0002-4747-5113 tmathany@usgs.gov","orcid":"https://orcid.org/0000-0002-4747-5113","contributorId":1713,"corporation":false,"usgs":true,"family":"Mathany","given":"Timothy","email":"tmathany@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":false,"id":541548,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Belitz, Kenneth 0000-0003-4481-2345 kbelitz@usgs.gov","orcid":"https://orcid.org/0000-0003-4481-2345","contributorId":442,"corporation":false,"usgs":true,"family":"Belitz","given":"Kenneth","email":"kbelitz@usgs.gov","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":541549,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70141633,"text":"pp1650G - 2015 - Atlas of relations between climatic parameters and distributions of important trees and shrubs in North America: Revisions for all taxa from the United States and Canada and new taxa from the western United States","interactions":[],"lastModifiedDate":"2023-08-29T14:10:23.523993","indexId":"pp1650G","displayToPublicDate":"2015-02-26T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1650","chapter":"G","title":"Atlas of relations between climatic parameters and distributions of important trees and shrubs in North America: Revisions for all taxa from the United States and Canada and new taxa from the western United States","docAbstract":"This is the seventh volume in an atlas series that explores the relations between the geographic distributions of woody plant species and climatic variables in North America. A 25-kilometer (km) equal-area grid of modern climatic and bioclimatic variables was constructed from weather data. The geographic distributions of selected tree and shrub species were digitized, and the presence or absence of each species was determined for each point on the 25-km grid, thus providing a basis for comparing climatic data and species' distributions. The relations between climate and plant distributions are presented in graphical and tabular form. The results of this effort are intended primarily for use in biogeographic, ecologic, paleoclimatic, and global-change research.
\nThis volume of the atlas provides numerous changes, updates, and enhancements from previous volumes. Its geographic coverage is now restricted to Canada and the continental United States, and the source and time period of the climatic data have changed. New variables were added, including monthly values for temperature and precipitation, and measures of interannual variability. The distribution maps for all previously published species were redigitized, some distribution maps were revised, and 148 new species were added from the arid and semiarid western United States. The graphical displays were expanded to illustrate the new climatic variables, and the data tables were modified to provide more detail on the population distributions of plant taxa relative to climatic variables.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/pp1650G","usgsCitation":"Thompson, R.S., Anderson, K.H., Pelltier, R.T., Strickland, L.E., Shafer, S.L., Bartlein, P.J., and McFadden, A., 2015, Atlas of relations between climatic parameters and distributions of important trees and shrubs in North America: Revisions for all taxa from the United States and Canada and new taxa from the western United States: U.S. Geological Survey Professional Paper 1650, HTML Document; Downloads Directory, https://doi.org/10.3133/pp1650G.","productDescription":"HTML Document; Downloads Directory","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-048941","costCenters":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"links":[{"id":419975,"rank":4,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P9FPD80E","text":"USGS data release","linkHelpText":"A gridded database of the modern distributions of climate, woody plant taxa, and ecoregions for the continental United States and Canada"},{"id":298161,"rank":1,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/pp/p1650-g/downloads/pp1650-g.zip","text":"Downloads Directory","linkHelpText":"Contains: PP1650-G.zip"},{"id":298162,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/pp1650g.JPG"},{"id":298146,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/pp/p1650-g/"}],"country":"Canada, United States","otherGeospatial":"North America","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -141.328125,\n 24.846565348219734\n ],\n [\n -141.328125,\n 70.0205873017406\n ],\n [\n -55.1953125,\n 70.0205873017406\n ],\n [\n -55.1953125,\n 24.846565348219734\n ],\n [\n -141.328125,\n 24.846565348219734\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f043a8e4b02419550ce860","contributors":{"authors":[{"text":"Thompson, Robert S. 0000-0001-9287-2954 rthompson@usgs.gov","orcid":"https://orcid.org/0000-0001-9287-2954","contributorId":891,"corporation":false,"usgs":true,"family":"Thompson","given":"Robert","email":"rthompson@usgs.gov","middleInitial":"S.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":541541,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, Katherine H. 0000-0003-2677-6109","orcid":"https://orcid.org/0000-0003-2677-6109","contributorId":52556,"corporation":false,"usgs":true,"family":"Anderson","given":"Katherine","email":"","middleInitial":"H.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":541542,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Pelltier, Richard T. 0000-0001-8322-7961 rtpelltier@usgs.gov","orcid":"https://orcid.org/0000-0001-8322-7961","contributorId":4683,"corporation":false,"usgs":true,"family":"Pelltier","given":"Richard","email":"rtpelltier@usgs.gov","middleInitial":"T.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":541543,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Strickland, Laura E. 0000-0002-1958-7273 lstrickland@usgs.gov","orcid":"https://orcid.org/0000-0002-1958-7273","contributorId":4682,"corporation":false,"usgs":true,"family":"Strickland","given":"Laura","email":"lstrickland@usgs.gov","middleInitial":"E.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":541544,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shafer, Sarah L. 0000-0003-3739-2637 sshafer@usgs.gov","orcid":"https://orcid.org/0000-0003-3739-2637","contributorId":1684,"corporation":false,"usgs":true,"family":"Shafer","given":"Sarah","email":"sshafer@usgs.gov","middleInitial":"L.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":false,"id":541545,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Bartlein, Patrick J.","contributorId":106879,"corporation":false,"usgs":true,"family":"Bartlein","given":"Patrick","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":541546,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McFadden, Andrew K.","contributorId":139367,"corporation":false,"usgs":false,"family":"McFadden","given":"Andrew K.","affiliations":[{"id":6672,"text":"former: USGS Southwest Biological Science Center, Colorado Plateau Research Station, Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":541547,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70138825,"text":"fs20153005 - 2015 - In-place oil shale resources of the Mahogany zone sorted by grade, overburden thickness and stripping ratio, Green River Formation, Piceance Basin, Colorado and Uinta Basin, Utah","interactions":[],"lastModifiedDate":"2015-02-26T11:45:42","indexId":"fs20153005","displayToPublicDate":"2015-02-26T10:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3005","title":"In-place oil shale resources of the Mahogany zone sorted by grade, overburden thickness and stripping ratio, Green River Formation, Piceance Basin, Colorado and Uinta Basin, Utah","docAbstract":"A range of geological parameters relevant to mining oil shale have been examined for the Mahogany zone of the Green River Formation in the Piceance Basin, Colorado, and Uinta Basin, Utah, using information available in the U.S. Geological Survey Oil Shale Assessment database. Basinwide discrete and cumulative distributions of resource in-place as a function of (1) oil shale grade, (2) Mahogany zone thickness, (3) overburden thickness, and (4) stripping ratio (overburden divided by zone thickness) were determined for both basins on a per-acre basis, and a resource map showing the areal distribution of these properties was generated. Estimates of how much of the Mahogany zone resource meets various combinations of these parameters were also determined. Of the 191.7 billion barrels of Mahogany zone oil in-place in the Piceance Basin, 32.3 percent (61.8 billion barrels) is associated with oil shale yielding at least 25 gallons of oil per ton (GPT) of rock processed, is covered by overburden 1,000 feet thick or less, and has a stripping ratio of less than 10. In the Uinta Basin, 14.0 percent (29.9 billion barrels) of the 214.5 billion barrels of Mahogany zone oil in-place meets the same overburden and stripping ratio criteria but only for the lower grade cutoff of 15 GPT.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153005","usgsCitation":"Birdwell, J.E., Mercier, T.J., Johnson, R.C., and Brownfield, M.E., 2015, In-place oil shale resources of the Mahogany zone sorted by grade, overburden thickness and stripping ratio, Green River Formation, Piceance Basin, Colorado and Uinta Basin, Utah: U.S. Geological Survey Fact Sheet 2015-3005, 6 p., https://doi.org/10.3133/fs20153005.","productDescription":"6 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-060005","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":298159,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153005.jpg"},{"id":298157,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3005/"},{"id":298158,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3005/pdf/fs2015-3005.pdf","text":"Report","size":"1.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"country":"United States","state":"Colorado, Utah","otherGeospatial":"Piceance Basin, Uinta Basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -114.08203125,\n 37.00255267215955\n ],\n [\n -114.08203125,\n 41.983994270935625\n ],\n [\n -102.041015625,\n 41.983994270935625\n ],\n [\n -102.041015625,\n 37.00255267215955\n ],\n [\n -114.08203125,\n 37.00255267215955\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f043aee4b02419550ce866","contributors":{"authors":[{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true}],"preferred":true,"id":541537,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mercier, Tracey J. 0000-0002-8232-525X tmercier@usgs.gov","orcid":"https://orcid.org/0000-0002-8232-525X","contributorId":2847,"corporation":false,"usgs":true,"family":"Mercier","given":"Tracey","email":"tmercier@usgs.gov","middleInitial":"J.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":541538,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Johnson, Ronald C. 0000-0002-6197-5165 rcjohnson@usgs.gov","orcid":"https://orcid.org/0000-0002-6197-5165","contributorId":1550,"corporation":false,"usgs":true,"family":"Johnson","given":"Ronald","email":"rcjohnson@usgs.gov","middleInitial":"C.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":541539,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brownfield, Michael E. 0000-0003-3633-1138 mbrownfield@usgs.gov","orcid":"https://orcid.org/0000-0003-3633-1138","contributorId":1548,"corporation":false,"usgs":true,"family":"Brownfield","given":"Michael","email":"mbrownfield@usgs.gov","middleInitial":"E.","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":541540,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70141913,"text":"fs20153014 - 2015 - Maine StreamStats: a water-resources web application","interactions":[],"lastModifiedDate":"2015-02-26T10:56:46","indexId":"fs20153014","displayToPublicDate":"2015-02-26T09:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-3014","title":"Maine StreamStats: a water-resources web application","docAbstract":"Maine StreamStats is a tool that any user with Internet access can use to delineate a basin on the fly and estimate a wide variety of streamflow statistics for ungaged sites on rivers and streams in Maine. Estimates are based on regression equations or are from data from similar gaged locations on the stream. Maine StreamStats is based on a national StreamStats application that can be used for streamflow estimates in many other states across the country.
\nReports referenced in this fact sheet present the regression equations used to estimate the flow statistics, describe the errors associated with the estimates, and describe the methods used to develop the equations and to measure the basin characteristics used in the equations. Limitations of the methods are also described in the reports; for example, all of the equations are appropriate only for ungaged, unregulated, rural streams in Maine.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20153014","collaboration":"Prepared in cooperation with Maine Department of Transportation","usgsCitation":"Lombard, P., 2015, Maine StreamStats: a water-resources web application: U.S. Geological Survey Fact Sheet 2015-3014, 2 p., https://doi.org/10.3133/fs20153014.","productDescription":"2 p.","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-063510","costCenters":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"links":[{"id":298152,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/fs20153014.jpg"},{"id":298150,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2015/3014/pdf/fs2015-3014.pdf","text":"Report","size":"739 kB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":298151,"rank":3,"type":{"id":7,"text":"Companion Files"},"url":"https://streamstats.usgs.gov/","text":"Maine StreamStats","linkHelpText":"a geographic information system-based Web application of the U.S. Geological Survey, is a tool for calculating basin characteristics and streamflow statistics for user-selected sites on streams in Maine."},{"id":298149,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/fs/2015/3014/"}],"country":"United States","state":"Maine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.927734375,\n 43.068887774169625\n ],\n [\n -70.927734375,\n 47.517200697839414\n ],\n [\n -66.884765625,\n 47.517200697839414\n ],\n [\n -66.884765625,\n 43.068887774169625\n ],\n [\n -70.927734375,\n 43.068887774169625\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":11,"text":"Pembroke PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54f043aee4b02419550ce868","contributors":{"authors":[{"text":"Lombard, Pamela J. plombard@usgs.gov","contributorId":871,"corporation":false,"usgs":true,"family":"Lombard","given":"Pamela J.","email":"plombard@usgs.gov","affiliations":[{"id":371,"text":"Maine Water Science Center","active":true,"usgs":true}],"preferred":false,"id":541536,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70141966,"text":"70141966 - 2015 - Wildlife, urban inputs, and landscape configuration are responsible for degraded swimming water quality at an embayed beach","interactions":[],"lastModifiedDate":"2015-02-25T12:49:21","indexId":"70141966","displayToPublicDate":"2015-02-25T12:45:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2330,"text":"Journal of Great Lakes Research","active":true,"publicationSubtype":{"id":10}},"title":"Wildlife, urban inputs, and landscape configuration are responsible for degraded swimming water quality at an embayed beach","docAbstract":"Jeorse Park Beach, on southern Lake Michigan, experiences frequent closures due to high Escherichia coli (E. coli) levels since regular monitoring was implemented in 2005. During the summer of 2010, contaminant source tracking techniques, such as the conventional microbial and physical surveys and hydrodynamic models, were used to determine the reasons for poor water quality at Jeorse Park. Fecal indicator bacteria (E. coli, enterococci) were high throughout the season, with densities ranging from 12–2419 (culturable E. coli) and 1–2550 and < 1–5831 (culturable and qPCR enterococci, respectively). Genetic markers for human (Bacteroides HF183) and gull (Catellicoccus marimammalium) fecal contamination were found in 15% and 37% of the samples indicating multiple sources contributing to poor water quality. Nesting colonies of double-crested cormorants (Phalacrocorax auritus) have steadily increased since 2005, coinciding with high E. colilevels. A hydrodynamic model indicated that limited circulation allows bacteria entering the embayed area to be retained in nearshore areas; and bacterial resuspension from sand and stranded beach wrack during storm events compounds the problem. The integration of hydrodynamics, expanded use of chemical and biological markers, as well as more complex statistical multivariate techniques can improve microbial source tracking, informing management actions to improve recreational water quality. Alterations to embayed structures to improve circulation and reduce nuisance algae as well as growing native plants to retain sand to improve beach morphometry are among some of the restoration strategies under consideration in ongoing multi-agency collaborations.
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The convergent topography of these landscapes generates spatially variable substrate and moisture content, facilitating biological diversity and influencing how the landscape filters precipitation and sequesters atmospheric carbon dioxide. In light of these significant ecosystem services, refining our understanding of how these functions are affected by landscape evolution, weather variability, and long-term climate change is imperative. In this paper we introduce the Landscape Evolution Observatory (LEO): a large-scale controllable infrastructure consisting of three replicated artificial landscapes (each 330 m2 surface area) within the climate-controlled Biosphere 2 facility in Arizona, USA. At LEO, experimental manipulation of rainfall, air temperature, relative humidity, and wind speed are possible at unprecedented scale. 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","conferenceTitle":"46th Annual Binghamton Geomorphology Symposium","conferenceDate":"September 18-20, 2015","language":"English","publisher":"Elsevier","doi":"10.1016/j.geomorph.2015.01.020","usgsCitation":"Pangle, L.A., DeLong, S.B., Abramson, N., Adams, J., Barron-Gafford, G.A., Breshears, D.D., Brooks, P.D., Chorover, J., Dietrich, W., Dontsova, K., Durcik, M., Espeleta, J., Ferre, T., Ferriere, R., Henderson, W., Hunt, E.A., Huxman, T.E., Millar, D., Murphy, B., Niu, G., Pavao-Zuckerman, M., Pelletier, J.D., Rasmussen, C., Ruiz, J., Saleska, S., Schaap, M., Sibayan, M., Troch, P.A., Tuller, M., van Haren, J., and Zeng, X., 2015, The Landscape Evolution Observatory: a large-scale controllable infrastructure to study coupled Earth-surface processes: Geomorphology, v. 244, p. 190-203, https://doi.org/10.1016/j.geomorph.2015.01.020.","productDescription":"14 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and floodplain geomorphic change","interactions":[],"lastModifiedDate":"2017-05-04T10:57:38","indexId":"70141968","displayToPublicDate":"2015-02-25T10:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1801,"text":"Geomorphology","active":true,"publicationSubtype":{"id":10}},"title":"Large-scale dam removal on the Elwha River, Washington, USA: river channel and floodplain geomorphic change","docAbstract":"A substantial increase in fluvial sediment supply relative to transport capacity causes complex, large-magnitude changes in river and floodplain morphology downstream. Although sedimentary and geomorphic responses to sediment pulses are a fundamental part of landscape evolution, few opportunities exist to quantify those processes over field scales. We investigated the downstream effects of sediment released during the largest dam removal in history, on the Elwha River, Washington, USA, by measuring changes in riverbed elevation and topography, bed sediment grain size, and channel planform as two dams were removed in stages over two years.
\nAs 10.5 million t (7.1 million m3) of sediment was released from two former reservoirs, downstream dispersion of a sediment wave caused widespread bed aggradation of ~ 1 m (greater where pools filled), changed the river from pool–riffle to braided morphology, and decreased the slope of the lowermost river. The newly deposited sediment, which was finer than most of the pre-dam-removal bed, formed new bars (largely pebble, granule, and sand material), prompting aggradational channel avulsion that increased the channel braiding index by almost 50%. As a result of mainstem bed aggradation, floodplain channels received flow and accumulated new sediment even during low to moderate flow conditions. The river system showed a two- to tenfold greater geomorphic response to dam removal (in terms of bed elevation change magnitude) than it had to a 40-year flood event four years before dam removal. Two years after dam removal began, as the river had started to incise through deposits of the initial sediment wave, ~ 1.2 million t of new sediment (~ 10% of the amount released from the two reservoirs) was stored along 18 river km of the mainstem channel and 25 km of floodplain channels. The Elwha River thus was able to transport most of the released sediment to the river mouth. The geomorphic alterations and changing bed sediment grain size along the Elwha River have important ecological implications, affecting aquatic habitat structure, benthic fauna, salmonid fish spawning and rearing potential, and riparian vegetation. The response of the river to dam removal represents a unique opportunity to observe and quantify fundamental geomorphic processes associated with a massive sediment influx, and also provides important lessons for future river-restoration endeavors.
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