{"pageNumber":"1835","pageRowStart":"45850","pageSize":"25","recordCount":184617,"records":[{"id":70034601,"text":"70034601 - 2011 - Demographic and genetic status of an isolated population of bog turtles (Glyptemys muhlenbergii): Implications for managing small populations of long-lived animals","interactions":[],"lastModifiedDate":"2021-04-19T11:55:40.038277","indexId":"70034601","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Demographic and genetic status of an isolated population of bog turtles (Glyptemys muhlenbergii): Implications for managing small populations of long-lived animals","docAbstract":"<p><span>In this study, we sought to determine the population stability and genetic diversity of one isolated population of the federally-threatened bog turtle (</span><i>Glyptemys muhlenbergii</i><span>) in North Carolina. Using capture–recapture data, we estimated adult survival and population growth rate from 1992 to 2007. We found that the population decreased from an estimated 36 adult turtles in 1994 to approximately 11 adult turtles in 2007. We found a constant adult survival of 0.893 (SE&nbsp;=&nbsp;0.018, 95% confidence interval, 0.853–0.924) between 1992 and 2007. Using 18 microsatellite markers, we compared the genetic status of this population with five other bog turtle populations. The target population displayed allelic richness (4.8&nbsp;±&nbsp;0.5) and observed heterozygosity (0.619&nbsp;±&nbsp;0.064) within the range of the other bog turtle populations. Coalescent analysis of population growth rate, effective population size, and timing of population structuring event also indicated the genetics of the target population were comparable to the other populations studied. Estimates of effective population size were a proportion of the census size in all populations except the target population, in which the effective population size was larger than the census size (30 turtles vs. 11 turtles). We attribute the high genetic diversity in the target population to the presence of multiple generations of old turtles. This study illustrates that the demographic status of populations of long-lived species may not be reflected genetically if a decline occurred recently. Consequently, the genetic integrity of populations of long-lived animals experiencing rapid demographic bottlenecks may be preserved through conservation efforts effective in addressing demographic problems.</span></p>","language":"English","publisher":"Springer","doi":"10.1007/s10592-011-0257-2","issn":"15660621","usgsCitation":"Pittman, S.E., King, T., Faurby, S., and Dorcas, M., 2011, Demographic and genetic status of an isolated population of bog turtles (Glyptemys muhlenbergii): Implications for managing small populations of long-lived animals: Conservation Genetics, v. 12, no. 6, p. 1589-1601, https://doi.org/10.1007/s10592-011-0257-2.","productDescription":"13 p.","startPage":"1589","endPage":"1601","numberOfPages":"13","costCenters":[],"links":[{"id":243542,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","issue":"6","noUsgsAuthors":false,"publicationDate":"2011-08-21","publicationStatus":"PW","scienceBaseUri":"5059fe7ee4b0c8380cd4ed60","contributors":{"authors":[{"text":"Pittman, Shannon E.","contributorId":22169,"corporation":false,"usgs":false,"family":"Pittman","given":"Shannon","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":446603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"King, T.L.","contributorId":93416,"corporation":false,"usgs":true,"family":"King","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":446605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faurby, S.","contributorId":95291,"corporation":false,"usgs":true,"family":"Faurby","given":"S.","email":"","affiliations":[],"preferred":false,"id":446606,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dorcas, M.E.","contributorId":34310,"corporation":false,"usgs":true,"family":"Dorcas","given":"M.E.","affiliations":[],"preferred":false,"id":446604,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034603,"text":"70034603 - 2011 - The effects of α-cellulose extraction and blue-stain fungus on retrospective studies of carbon and oxygen isotope variation in live and dead trees†","interactions":[],"lastModifiedDate":"2018-01-23T09:45:28","indexId":"70034603","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"The effects of α-cellulose extraction and blue-stain fungus on retrospective studies of carbon and oxygen isotope variation in live and dead trees†","docAbstract":"<p>Tree-ring carbon and oxygen isotope ratios from live and recently dead trees may reveal important mechanisms of tree mortality. However, wood decay in dead trees may alter the δ<sup>13</sup>C and δ<sup>18</sup>O values of whole wood obscuring the isotopic signal associated with factors leading up to and including physiological death. We examined whole sapwood and α-cellulose from live and dead specimens of ponderosa pine (<i>Pinus ponderosa</i>), one-seed juniper (<i>Juniperous monosperma</i>), piñon pine (<i>Pinus edulis</i>) and white fir (<i>Abies concolor</i>), including those with fungal growth and beetle frass in the wood, to determine if α-cellulose extraction is necessary for the accurate interpretation of isotopic compositions in the dead trees. We found that the offset between the δ<sup>13</sup>C or δ<sup>18</sup>O values of α-cellulose and whole wood was the same for both live and dead trees across a large range of inter-annual and regional climate differences. The method of α-cellulose extraction, whether Leavitt-Danzer or Standard Brendel modified for small samples, imparts significant differences in the δ<sup>13</sup>C (up to 0.4‰) and δ<sup>18</sup>O (up to 1.2‰) of α-cellulose, as reported by other studies. There was no effect of beetle frass or blue-stain fungus (<i>Ophiostoma</i>) on the δ<sup>13</sup>C and δ<sup>18</sup>O of whole wood or α-cellulose. The relationships between whole wood and α-cellulose δ<sup>13</sup>C for ponderosa, piñon and juniper yielded slopes of ~1, while the relationship between δ<sup>18</sup>O of whole wood and α-cellulose was less clear. We conclude that there are few analytical or sampling obstacles to retrospective studies of isotopic patterns of tree mortality in forests of the western United States.</p>","language":"English","publisher":"Wiley","doi":"10.1002/rcm.5192","usgsCitation":"English, N., McDowell, N., Allen, C.D., and Mora, C., 2011, The effects of α-cellulose extraction and blue-stain fungus on retrospective studies of carbon and oxygen isotope variation in live and dead trees†: Rapid Communications in Mass Spectrometry, v. 25, no. 20, p. 3083-3090, https://doi.org/10.1002/rcm.5192.","productDescription":"8 p.","startPage":"3083","endPage":"3090","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":502633,"rank":1,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://figshare.com/articles/journal_contribution/The_effects_of_-cellulose_extraction_and_blue-stain_fungus_on_retrospective_studies_of_carbon_and_oxygen_isotope_variation_in_live_and_dead_trees/13393079","text":"External Repository"},{"id":243570,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"20","noUsgsAuthors":false,"publicationDate":"2011-09-13","publicationStatus":"PW","scienceBaseUri":"505bab63e4b08c986b322de9","contributors":{"authors":[{"text":"English, N.B.","contributorId":38744,"corporation":false,"usgs":true,"family":"English","given":"N.B.","email":"","affiliations":[],"preferred":false,"id":446610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McDowell, N.G.","contributorId":93296,"corporation":false,"usgs":true,"family":"McDowell","given":"N.G.","email":"","affiliations":[],"preferred":false,"id":446612,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Allen, Craig D. 0000-0002-8777-5989 craig_allen@usgs.gov","orcid":"https://orcid.org/0000-0002-8777-5989","contributorId":2597,"corporation":false,"usgs":true,"family":"Allen","given":"Craig","email":"craig_allen@usgs.gov","middleInitial":"D.","affiliations":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":446611,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mora, C.","contributorId":21000,"corporation":false,"usgs":true,"family":"Mora","given":"C.","email":"","affiliations":[],"preferred":false,"id":446609,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70194337,"text":"70194337 - 2011 - Young (<7 Ma) gold deposits and active geothermal systems of the Great Basin:  Enigmas, questions, and exploration potential","interactions":[],"lastModifiedDate":"2018-01-30T13:05:30","indexId":"70194337","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Young (<7 Ma) gold deposits and active geothermal systems of the Great Basin:  Enigmas, questions, and exploration potential","docAbstract":"<p>Young gold systems in the Great Basin (£ 7 Ma), though not as well studied as their older counterparts, comprise a rapidly growing and in some ways controversial group. The gold inventory for these systems has more than doubled in the last 5 years from roughly 370 tonnes (12 Moz) to 890 tonnes (29 Moz). Although these deposits are characterized by low grades, tonnages can be high and stripping ratios low, and they have been mined profitably, as exemplified by Florida Canyon and Hycroft. Active geothermal systems in the Great Basin also comprise a rapidly growing group, as evidenced by a number of recent discoveries of geothermal groundwater and a more than 50% increase in electricity production capacity from these systems in the last 5 years. </p><p>Many young gold deposits are closely associated with active geothermal systems, suggesting that gold deposits may be forming today in the Great Basin. Measured or estimated geothermal reservoir temperatures commonly approach or exceed 200∞C, and other characteristics and processes (advanced argillic caps, hydrothermal eruption breccias) of these young deposits resemble those of nearby Tertiary precious metal deposits. Nonetheless, many young gold systems, especially in Nevada, are not associated with coeval igneous rocks. Similarly, almost all electricity-grade geothermal systems in Nevada are not associated with Quaternary silicic volcanic rocks, and have lower temperature gradients, lower 3He/4He ratios, and lower dissolved trace element concentrations than most magmatic-heated geothermal systems elsewhere in the world. </p><p>The increasing economic significance of young gold deposits and active geothermal systems justifies more research to better understand their origins, particularly because in some aspects they remain enigmatic and controversial. Are young gold deposits in Nevada truly amagmatic, or have they received metal and fluid contributions from magmas deeper within the crust? Has gold in these deposits been remobilized from older gold mineralization? Current research is investigating these and other questions to improve our genetic understanding of these young gold systems, which in turn can lead to improved exploration targeting. </p><p>The recent rapid growth in resources for both young gold deposits and geothermal systems underscores their underdeveloped exploration potential. Even though many young gold deposits exhibit relatively shallow hot-springs-style mineralization, their young age may preclude exposure by erosion. Uplift along active normal faults has exposed some deposits (e.g., Florida Canyon, Dixie Comstock, Wind Mountain), but in other areas, such as the Walker Lane, where strike-slip faulting is prevalent, the opportunities for exposure can be limited. Many active geothermal systems are also concealed below the surface in that hot springs or steam vents may be absent above areas of thermal groundwater.</p><p>With sources of energy to support mine production becoming more problematic, the potential advantages of simultaneously exploring for young gold deposits and spatially associated geothermal systems are becoming more apparent. Exploration methods recently proven effective in geothermal exploration that can be adapted to gold exploration include temperature surveys, hyperspectral remote sensing, geophysical surveys, water analyses, and detailed mapping of geothermal-related features and related fault systems.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Geological Society of Nevada Symposium 2010: Great Basin Evolution and Metallogeny","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Geological Society of Nevada Symposium 2010: Great Basin Evolution and Metallogeny","conferenceDate":"May 14-22, 2010","conferenceLocation":"Reno, NV","language":"English","publisher":"Geological Society of Nevada","usgsCitation":"Coolbaugh, M.F., Vikre, P., and Faulds, J., 2011, Young (<7 Ma) gold deposits and active geothermal systems of the Great Basin:  Enigmas, questions, and exploration potential, <i>in</i> Geological Society of Nevada Symposium 2010: Great Basin Evolution and Metallogeny, Reno, NV, May 14-22, 2010, p. 845-859.","productDescription":"15 p.","startPage":"845","endPage":"859","ipdsId":"IP-022789","costCenters":[{"id":662,"text":"Western Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":350792,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.atlasgeoinc.com/services/geothermal-exploration-and-assessment/geology/"},{"id":350793,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a719270e4b0a9a2e9dbde1c","contributors":{"authors":[{"text":"Coolbaugh, Mark F.","contributorId":193870,"corporation":false,"usgs":false,"family":"Coolbaugh","given":"Mark","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":726187,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Vikre, Peter G. pvikre@usgs.gov","contributorId":1800,"corporation":false,"usgs":true,"family":"Vikre","given":"Peter G.","email":"pvikre@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":false,"id":726188,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Faulds, James E.","contributorId":184258,"corporation":false,"usgs":false,"family":"Faulds","given":"James E.","affiliations":[],"preferred":false,"id":726189,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034605,"text":"70034605 - 2011 - Recent changes in burbot growth in Lake Erie","interactions":[],"lastModifiedDate":"2013-02-28T13:29:25","indexId":"70034605","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2166,"text":"Journal of Applied Ichthyology","active":true,"publicationSubtype":{"id":10}},"title":"Recent changes in burbot growth in Lake Erie","docAbstract":"Recruitment of burbot <i>Lota lota</i> in eastern Lake Erie, estimated by catches of age-4 burbot, was high during 1997–2001 and then abruptly declined to low levels during 2002–2007. The invasive round goby <i>Neogobius melanostomus</i>, a benthic species, was first collected in trawl assessments in eastern Lake Erie in 1999, and was first found in stomachs of burbot in 2001. By 2003, round goby became an important prey in the diet of burbot. We hypothesized that the combined effects of low recruitment and consumption of round goby would result in increased size-at-age in burbot. We reasoned that: (i) decreased competition for resources among juveniles should result in larger adults, and (ii) consumption of a benthic prey by a bottom-dwelling predator such as burbot should require less foraging in the water column, and thus less energetic expenditure. We divided our data into two temporal periods: one in which burbot belonged to strong year classes and ate few, if any round goby (i.e., year classes 1989–1997 collected during 1997–2001) and one in which burbot belonged to weak year classes and probably ate round gobies by age 4 (year classes 1998–2003 collected during 2002–2007). Mass and total lengths at ages 4–7 were generally higher during the second period. However, the rates of growth between ages 4 and 7 were not different for the two periods. The results indicate that greater growth at ages 0–4 resulted in larger size at ages 4–7 in the latter period. More information on juvenile diet and growth in burbot is needed for effective conservation of burbot stocks.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Applied Ichthyology","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","publisherLocation":"Hoboken, NJ","doi":"10.1111/j.1439-0426.2011.01845.x","issn":"01758659","usgsCitation":"Stapanian, M., Edwards, W., and Witzel, L., 2011, Recent changes in burbot growth in Lake Erie: Journal of Applied Ichthyology, v. 27, no. S1, p. 57-64, https://doi.org/10.1111/j.1439-0426.2011.01845.x.","productDescription":"8 p.","startPage":"57","endPage":"64","costCenters":[],"links":[{"id":487228,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/j.1439-0426.2011.01845.x","text":"Publisher Index Page"},{"id":215777,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1439-0426.2011.01845.x"},{"id":243602,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"27","issue":"S1","noUsgsAuthors":false,"publicationDate":"2011-08-30","publicationStatus":"PW","scienceBaseUri":"505a95ece4b0c8380cd81cfd","contributors":{"authors":[{"text":"Stapanian, M.A.","contributorId":65437,"corporation":false,"usgs":true,"family":"Stapanian","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":446619,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Edwards, W.H.","contributorId":43718,"corporation":false,"usgs":true,"family":"Edwards","given":"W.H.","affiliations":[],"preferred":false,"id":446618,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Witzel, L.D.","contributorId":70324,"corporation":false,"usgs":true,"family":"Witzel","given":"L.D.","email":"","affiliations":[],"preferred":false,"id":446620,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035901,"text":"70035901 - 2011 - An acarologic survey and Amblyomma americanum distribution map with implications for tularemia risk in Missouri","interactions":[],"lastModifiedDate":"2021-02-08T19:15:25.164963","indexId":"70035901","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":733,"text":"American Journal of Tropical Medicine and Hygiene","active":true,"publicationSubtype":{"id":10}},"title":"An acarologic survey and Amblyomma americanum distribution map with implications for tularemia risk in Missouri","docAbstract":"<p><span>In the United States, tickborne diseases occur focally. Missouri represents a major focus of several tickborne diseases that includes spotted fever rickettsiosis, tularemia, and ehrlichiosis. Our study sought to determine the potential risk of human exposure to human-biting vector ticks in this area. We collected ticks in 79 sites in southern Missouri during June 7–10, 2009, which yielded 1,047 adult and 3,585 nymphal&nbsp;</span><i>Amblyomma americanum</i><span>, 5 adult&nbsp;</span><i>Amblyomma maculatum</i><span>, 19 adult&nbsp;</span><i>Dermacentor variabilis</i><span>, and 5 nymphal&nbsp;</span><i>Ixodes brunneus</i><span>. Logistic regression analysis showed that areas posing an elevated risk of exposure to&nbsp;</span><i>A. americanum</i><span>nymphs or adults were more likely to be classified as forested than grassland, and the probability of being classified as elevated risk increased with increasing relative humidity during the month of June (30-year average). Overall accuracy of each of the two models was greater than 70% and showed that 20% and 30% of the state were classified as elevated risk for human exposure to nymphs and adults, respectively. We also found a significant positive association between heightened acarologic risk and counties reporting tularemia cases. Our study provides an updated distribution map for&nbsp;</span><i>A. americanum</i><span>&nbsp;in Missouri and suggests a wide-spread risk of human exposure to&nbsp;</span><i>A. americanum</i><span>&nbsp;and their associated pathogens in this region.</span></p>","language":"English","publisher":"The American Journal of Tropical Medicine and Hygiene","doi":"10.4269/ajtmh.2011.10-0593","issn":"00029637","usgsCitation":"Brown, H., Yates, K., Dietrich, G., MacMillan, K., Graham, C., Reese, S., Helterbrand, W., Nicholson, W., Blount, K., Mead, P., Patrick, S., and Eisen, R., 2011, An acarologic survey and Amblyomma americanum distribution map with implications for tularemia risk in Missouri: American Journal of Tropical Medicine and Hygiene, v. 84, no. 3, p. 411-419, https://doi.org/10.4269/ajtmh.2011.10-0593.","productDescription":"9 p.","startPage":"411","endPage":"419","costCenters":[],"links":[{"id":475121,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index 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,{"id":70035897,"text":"70035897 - 2011 - An analysis of modern pollen rain from the Maya lowlands of northern Belize","interactions":[],"lastModifiedDate":"2021-02-08T20:04:26.516947","indexId":"70035897","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3275,"text":"Review of Palaeobotany and Palynology","active":true,"publicationSubtype":{"id":10}},"title":"An analysis of modern pollen rain from the Maya lowlands of northern Belize","docAbstract":"<p><span>In the lowland Maya area, pollen records provide important insights into the impact of past human populations and climate change on tropical ecosystems. Despite a long history of regional paleoecological research, few studies have characterized the palynological signatures of lowland ecosystems, a fact which lowers confidence in ecological inferences made from palynological data. We sought to verify whether we could use pollen spectra to reliably distinguish modern ecosystem types in the Maya lowlands of Central America. We collected 23 soil and sediment samples from eight ecosystem types, including upland, riparian, secondary, and swamp (</span><i>bajo</i><span>) forests; pine savanna; and three distinct wetland communities. We analyzed pollen spectra with non-metric multidimensional scaling (NMDS), and found significant compositional differences in ecosystem types' pollen spectra. Forested sites had spectra dominated by Moraceae/Urticaceae pollen, while non-forested sites had significant portions of Poaceae, Asteraceae, and Amaranthaceae pollen. Upland,&nbsp;</span><i>bajo</i><span>, and riparian forest differed in representation of Cyperaceae,&nbsp;</span><i>Bactris</i><span>-type, and Combretaceae/Melastomataceae pollen. High percentages of pine (</span><i>Pinus</i><span>), oak (</span><i>Quercus</i><span>), and the presence of&nbsp;</span><i>Byrsonima</i><span>&nbsp;characterized pine savanna. Despite its limited sample size, this study provides one of the first statistical analyses of modern pollen rain in the Maya lowlands. Our results show that pollen assemblages can accurately reflect differences between ecosystem types, which may help refine interpretations of pollen records from the Maya area.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.revpalbo.2010.11.010","issn":"00346667","usgsCitation":"Bhattacharya, T., Beach, T., and Wahl, D.B., 2011, An analysis of modern pollen rain from the Maya lowlands of northern Belize: Review of Palaeobotany and Palynology, v. 164, no. 1-2, p. 109-120, https://doi.org/10.1016/j.revpalbo.2010.11.010.","productDescription":"12 p.","startPage":"109","endPage":"120","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":244223,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216359,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.revpalbo.2010.11.010"}],"country":"Belize","otherGeospatial":"Maya lowlands","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-89.14308,17.80832],[-89.15091,17.95547],[-89.02986,18.00151],[-88.84834,17.8832],[-88.49012,18.48683],[-88.30003,18.49998],[-88.29634,18.35327],[-88.10681,18.34867],[-88.12348,18.07667],[-88.28535,17.64414],[-88.19787,17.48948],[-88.30264,17.13169],[-88.23952,17.03607],[-88.35543,16.53077],[-88.55182,16.26547],[-88.73243,16.23363],[-88.93061,15.88727],[-89.22912,15.88694],[-89.15081,17.01558],[-89.14308,17.80832]]]},\"properties\":{\"name\":\"Belize\"}}]}","volume":"164","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e9f0e4b0c8380cd48540","contributors":{"authors":[{"text":"Bhattacharya, T.","contributorId":96920,"corporation":false,"usgs":true,"family":"Bhattacharya","given":"T.","email":"","affiliations":[],"preferred":false,"id":452998,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Beach, T.","contributorId":39607,"corporation":false,"usgs":true,"family":"Beach","given":"T.","email":"","affiliations":[],"preferred":false,"id":452997,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wahl, David B. 0000-0002-0451-3554 dwahl@usgs.gov","orcid":"https://orcid.org/0000-0002-0451-3554","contributorId":3433,"corporation":false,"usgs":true,"family":"Wahl","given":"David","email":"dwahl@usgs.gov","middleInitial":"B.","affiliations":[{"id":24693,"text":"Climate Research and Development","active":true,"usgs":true},{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":452996,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70035895,"text":"70035895 - 2011 - Origin of a rhyolite that intruded a geothermal well while drilling at the Krafla volcano, Iceland","interactions":[],"lastModifiedDate":"2021-02-08T20:10:39.612918","indexId":"70035895","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"Origin of a rhyolite that intruded a geothermal well while drilling at the Krafla volcano, Iceland","docAbstract":"<p><span>Magma flowed into an exploratory geothermal well at 2.1 km depth being drilled in the Krafla central volcano in Iceland, creating a unique opportunity to study rhyolite magma in situ in a basaltic environment. The quenched magma is a partly vesicular, sparsely phyric, glass containing ∼1.8% of dissolved volatiles. Based on calculated H</span><sub>2</sub><span>O-CO</span><sub>2</sub><span>&nbsp;saturation pressures, it degassed at a pressure intermediate between hydrostatic and lithostatic, and geothermometry indicates that the crystals in the melt formed at ∼900 °C. The glass shows no signs of hydrothermal alteration, but its hydrogen and oxygen isotopic ratios are much lower than those of typical mantle-derived magmas, indicating that this rhyolite originated by anhydrous mantle-derived magma assimilating partially melted hydrothermally altered basalts.</span></p>","language":"English","publisher":"Geological Society of America","doi":"10.1130/G31393.1","issn":"00917613","usgsCitation":"Elders, W., Fridleifsson, G., Zierenberg, R., Pope, E., Mortensen, A., Gudmundsson, A., Lowenstern, J.B., Marks, N., Owens, L., Bird, D., Reed, M., Olsen, N., and Schiffmant, P., 2011, Origin of a rhyolite that intruded a geothermal well while drilling at the Krafla volcano, Iceland: Geology, v. 39, no. 3, p. 231-234, https://doi.org/10.1130/G31393.1.","productDescription":"4 p.","startPage":"231","endPage":"234","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":244188,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216325,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1130/G31393.1"}],"country":"Iceland","otherGeospatial":"Krafla volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -17.05078125,\n              65.47650756256367\n            ],\n            [\n              -15.831298828124998,\n              65.47650756256367\n            ],\n            [\n              -15.831298828124998,\n              66.06263291952231\n            ],\n            [\n              -17.05078125,\n              66.06263291952231\n            ],\n            [\n              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E.C.","contributorId":30478,"corporation":false,"usgs":true,"family":"Pope","given":"E.C.","email":"","affiliations":[],"preferred":false,"id":452986,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Mortensen, A.K.","contributorId":107526,"corporation":false,"usgs":true,"family":"Mortensen","given":"A.K.","email":"","affiliations":[],"preferred":false,"id":452992,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gudmundsson, A.","contributorId":6690,"corporation":false,"usgs":true,"family":"Gudmundsson","given":"A.","affiliations":[],"preferred":false,"id":452980,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lowenstern, Jacob B. 0000-0003-0464-7779 jlwnstrn@usgs.gov","orcid":"https://orcid.org/0000-0003-0464-7779","contributorId":2755,"corporation":false,"usgs":true,"family":"Lowenstern","given":"Jacob","email":"jlwnstrn@usgs.gov","middleInitial":"B.","affiliations":[{"id":617,"text":"Volcano Science 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N.J.","contributorId":7529,"corporation":false,"usgs":true,"family":"Olsen","given":"N.J.","email":"","affiliations":[],"preferred":false,"id":452981,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Schiffmant, Peter","contributorId":51016,"corporation":false,"usgs":true,"family":"Schiffmant","given":"Peter","affiliations":[],"preferred":false,"id":452989,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70035894,"text":"70035894 - 2011 - Neoarchean paleoweathering of tonalite and metabasalt: Implications for reconstructions of 2.69Ga early terrestrial ecosystems and paleoatmospheric chemistry","interactions":[],"lastModifiedDate":"2021-02-08T20:23:38.492553","indexId":"70035894","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3112,"text":"Precambrian Research","active":true,"publicationSubtype":{"id":10}},"title":"Neoarchean paleoweathering of tonalite and metabasalt: Implications for reconstructions of 2.69Ga early terrestrial ecosystems and paleoatmospheric chemistry","docAbstract":"<p><span>Field and laboratory investigations of a 2690.83</span><span>&nbsp;</span><span>Ma (</span><sup>207</sup><span>Pb/</span><sup>206</sup><span>Pb age of Saganaga Tonalite) unconformity exposed in outcrop in northeastern Minnesota, USA, reveal evidence for development of a deep paleoweathering profile with geochemical biosignatures consistent with the presence of microbial communities and weakly oxygenated conditions. Weathering profiles are characterized by a 5–50</span><span>&nbsp;</span><span>m thick regolith that consists of saprolitized Saganaga Tonalite and Paulson Lake succession basaltic metavolcanic rocks retaining rock structure, which is cross-cut by a major unconformity surface marking development of a successor basin infilled with alluvial deposits. The regolith and unconformity are overlain by thick conglomerate deposits that contain both intrabasinal (saprock) as well as extrabasinal detritus. Thin-section microscopy and electron microprobe analyses reveal extensive hydrolysis and sericitization of feldspars, exfoliation and chloritization of biotite, and weathering of Fe-Mg silicates and Cu-Fe sulfides; weathering of Fe-Ti oxides was relatively less intense than for other minerals and evidence was found for precipitation of Fe oxides. Geochemical analyses of the tonalite, assuming immobile TiO</span><sub>2</sub><span>&nbsp;during weathering (</span><i>τ</i><sub>Ti,<i>j</i></sub><span>), show depletion of SiO</span><sub>2</sub><span>, Al</span><sub>2</sub><span>O</span><sub>3</sub><span>, Na</span><sub>2</sub><span>O, CaO, MgO, and MnO, and to a lesser degree of K</span><sub>2</sub><span>O, relative to least-weathered parent materials. Significant Fe was lost from the tonalite. A paleoatmospheric pCO</span><sub>2</sub><span>&nbsp;of 10–50 times PAL is estimated based on geochemical mass-balance of the tonalite profile and assuming a formation time of 50–500</span><span>&nbsp;</span><span>Kyr. Interpretations of metabasalt paleoweathering are complicated by additions of sediment to the profile and extensive diagenetic carbonate (dolomite) overprinting. Patterns of release of P and Fe and retention of Y and Cu in tonalite are consistent with recent laboratory experiments of granite weathering, and with the presence of acidic conditions in the presence of organic ligands (produced, for example, by a primitive microbial community) during weathering. Cu metal in the profile may document lower pO</span><sub>2</sub><span>&nbsp;than present day at the surface. Comparison with previous studies of weathered tonalite and basalt (Denison, 2.45–2.22</span><span>&nbsp;</span><span>Ga) in Ontario, Canada, reveal general similarities in paleoweathering with our study, as well as important differences related to lower paleoatmospheric pO</span><sub>2</sub><span>&nbsp;and terrestrial biosignature for the older Minnesota profile. A falling water table in the Alpine Lake locality is presumed to have promoted formation of this gossan-like deep-weathering system that extends to 50-m depth.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.precamres.2011.04.003","issn":"03019268","usgsCitation":"Driese, S., Jirsa, M., Ren, M., Brantley, S., Sheldon, N., Parker, D.C., and Schmitz, M., 2011, Neoarchean paleoweathering of tonalite and metabasalt: Implications for reconstructions of 2.69Ga early terrestrial ecosystems and paleoatmospheric chemistry: Precambrian Research, v. 189, no. 1-2, p. 1-17, https://doi.org/10.1016/j.precamres.2011.04.003.","productDescription":"17 p.","startPage":"1","endPage":"17","costCenters":[],"links":[{"id":244187,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216324,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.precamres.2011.04.003"}],"country":"United States","state":"Minnesota","otherGeospatial":"Northeastern Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -92.28515625,\n              46.6795944656402\n            ],\n            [\n              -92.08740234375,\n              46.800059446787316\n            ],\n            [\n              -91.64794921875,\n              47.010225655683485\n            ],\n            [\n              -91.1865234375,\n              47.35371061951363\n            ],\n            [\n              -90.54931640625,\n              47.724544549099676\n            ],\n            [\n              -89.93408203124999,\n              47.82790816919329\n            ],\n            [\n              -89.36279296875,\n              48.06339653776211\n            ],\n            [\n              -90.90087890624999,\n              48.25394114463431\n            ],\n            [\n              -91.47216796875,\n              48.122101028190805\n            ],\n            [\n              -92.04345703125,\n              48.44377831058802\n            ],\n            [\n              -92.35107421874999,\n              48.28319289548349\n            ],\n            [\n              -92.28515625,\n              46.6795944656402\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"189","issue":"1-2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a6441e4b0c8380cd7295a","contributors":{"authors":[{"text":"Driese, S.G.","contributorId":53594,"corporation":false,"usgs":true,"family":"Driese","given":"S.G.","email":"","affiliations":[],"preferred":false,"id":452975,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jirsa, M.A.","contributorId":90932,"corporation":false,"usgs":true,"family":"Jirsa","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":452979,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ren, M.","contributorId":62823,"corporation":false,"usgs":true,"family":"Ren","given":"M.","email":"","affiliations":[],"preferred":false,"id":452977,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brantley, S.L.","contributorId":71676,"corporation":false,"usgs":true,"family":"Brantley","given":"S.L.","email":"","affiliations":[],"preferred":false,"id":452978,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sheldon, N.D.","contributorId":25384,"corporation":false,"usgs":true,"family":"Sheldon","given":"N.D.","email":"","affiliations":[],"preferred":false,"id":452973,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Parker, Dana C.","contributorId":37278,"corporation":false,"usgs":true,"family":"Parker","given":"Dana","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":452974,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Schmitz, M.","contributorId":59267,"corporation":false,"usgs":true,"family":"Schmitz","given":"M.","email":"","affiliations":[],"preferred":false,"id":452976,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70035893,"text":"70035893 - 2011 - A counter-intuitive approach to calculating non-exchangeable <sup>2</sup>H isotopic composition of hair: treating the molar exchange fraction f<sub>E</sub> as a process-related rather than compound-specific variable","interactions":[],"lastModifiedDate":"2013-01-10T09:58:00","indexId":"70035893","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3233,"text":"Rapid Communications in Mass Spectrometry","active":true,"publicationSubtype":{"id":10}},"title":"A counter-intuitive approach to calculating non-exchangeable <sup>2</sup>H isotopic composition of hair: treating the molar exchange fraction f<sub>E</sub> as a process-related rather than compound-specific variable","docAbstract":"Hair is a keratinous tissue that incorporates hydrogen from material that an animal consumes but it is metabolically inert following synthesis. The stable hydrogen isotope composition of hair has been used in ecological studies to track migrations of mammals as well as for forensic and archaeological purposes to determine the provenance of human remains or the recent geographic life trajectory of living people. Measurement of the total hydrogen isotopic composition of a hair sample yields a composite value comprised of both metabolically informative, non-exchangeable hydrogen and exchangeable hydrogen, with the latter reflecting ambient or sample preparation conditions. Neither of these attributes is directly measurable, and the non-exchangeable hydrogen composition is obtained by estimation using a commonly applied mathematical expression incorporating sample measurements obtained from two distinct equilibration procedures. This commonly used approach treats the fraction of exchangeable hydrogen as a mixing ratio, with a minimal procedural fractionation factor assumed to be close or equal to 1. Instead, we propose to use full molar ratios to derive an expression for the non-exchangeable hydrogen composition explicitly as a function of both the procedural fractionation factor α and the molar hydrogen exchange fraction f<sub>E</sub>. We apply these derivations in a longitudinal study of a hair sample and demonstrate that the molar hydrogen exchange fraction f<sub>E</sub> should, like the procedural fractionation factor α, be treated as a process-dependent parameter, i.e. a reaction-specific constant. This is a counter-intuitive notion given that maximum theoretical values for the molar hydrogen exchange fraction f<sub>E</sub> can be calculated that are arguably protein-type specific and, as such, f<sub>E</sub> could be regarded as a compound-specific constant. We also make some additional suggestions for future approaches to determine the non-exchangeable hydrogen composition of hair and the use of standards.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Rapid Communications in Mass Spectrometry","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1002/rcm.4854","issn":"09514198","usgsCitation":"Landwehr, J., Meier-Augenstein, W., and Kemp, H., 2011, A counter-intuitive approach to calculating non-exchangeable <sup>2</sup>H isotopic composition of hair: treating the molar exchange fraction f<sub>E</sub> as a process-related rather than compound-specific variable: Rapid Communications in Mass Spectrometry, v. 25, no. 2, p. 301-306, https://doi.org/10.1002/rcm.4854.","productDescription":"6 p.","startPage":"301","endPage":"306","costCenters":[{"id":633,"text":"Water Resources National Research Program","active":false,"usgs":true}],"links":[{"id":216291,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1002/rcm.4854"},{"id":244154,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-12-28","publicationStatus":"PW","scienceBaseUri":"5059e39de4b0c8380cd46125","contributors":{"authors":[{"text":"Landwehr, J.M.","contributorId":39815,"corporation":false,"usgs":true,"family":"Landwehr","given":"J.M.","email":"","affiliations":[],"preferred":false,"id":452971,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Meier-Augenstein, W.","contributorId":29664,"corporation":false,"usgs":true,"family":"Meier-Augenstein","given":"W.","affiliations":[],"preferred":false,"id":452970,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kemp, H.F.","contributorId":41241,"corporation":false,"usgs":true,"family":"Kemp","given":"H.F.","email":"","affiliations":[],"preferred":false,"id":452972,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034813,"text":"70034813 - 2011 - Hydrodynamics of a bathymetrically complex fringing coral reef embayment: Wave climate, in situ observations, and wave prediction","interactions":[],"lastModifiedDate":"2013-06-04T12:54:06","indexId":"70034813","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2315,"text":"Journal of Geophysical Research C: Oceans","active":true,"publicationSubtype":{"id":10}},"title":"Hydrodynamics of a bathymetrically complex fringing coral reef embayment: Wave climate, in situ observations, and wave prediction","docAbstract":"This paper examines the relationship between offshore wave climate and nearshore waves and currents at Hanalei Bay, Hawaii, an exposed bay fringed with coral reefs. Analysis of both offshore in situ data and numerical hindcasts identify the predominance of two wave conditions: a mode associated with local trade winds and an episodic pattern associated with distant source long-period swells. Analysis of 10 months of in situ data within the bay show that current velocities are up to an order of magnitude greater during long-period swell episodes than during trade wind conditions; overall circulation patterns are also fundamentally different. The current velocities are highly correlated with incident wave heights during the swell episodes, while they are not during the modal trade wind conditions. A phase-averaged wave model was implemented with the dual purpose of evaluating application to bathymetrically complex fringing reefs and to examine the propagation of waves into the nearshore in an effort to better explain the large difference in observed circulation during the two offshore wave conditions. The prediction quality of this model was poorer for the episodic condition than for the lower-energy mode, however, it illustrated how longer-period swells are preferentially refracted into the bay and make available far more nearshore wave energy to drive currents compared to waves during modal conditions. The highly episodic circulation, the nature of which is dependent on complex refraction patterns of episodic, long-period swell has implications for flushing and sediment dynamics for incised fringing reef-lined bays that characterize many high islands at low latitudes around the world.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of Geophysical Research C: Oceans","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"AGU","doi":"10.1029/2010JC006170","issn":"01480227","usgsCitation":"Hoeke, R., Storlazzi, C., and Ridd, P., 2011, Hydrodynamics of a bathymetrically complex fringing coral reef embayment: Wave climate, in situ observations, and wave prediction: Journal of Geophysical Research C: Oceans, v. 116, no. C4, C04018, https://doi.org/10.1029/2010JC006170.","productDescription":"C04018","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":475221,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2010jc006170","text":"Publisher Index Page"},{"id":215990,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010JC006170"},{"id":243829,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Hanalei Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -159.520674,22.200727 ], [ -159.520674,22.220948 ], [ -159.494017,22.220948 ], [ -159.494017,22.200727 ], [ -159.520674,22.200727 ] ] ] } } ] }","volume":"116","issue":"C4","noUsgsAuthors":false,"publicationDate":"2011-04-20","publicationStatus":"PW","scienceBaseUri":"505a3340e4b0c8380cd5ee68","contributors":{"authors":[{"text":"Hoeke, R.","contributorId":29239,"corporation":false,"usgs":true,"family":"Hoeke","given":"R.","email":"","affiliations":[],"preferred":false,"id":447765,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Storlazzi, C. 0000-0001-8057-4490","orcid":"https://orcid.org/0000-0001-8057-4490","contributorId":103895,"corporation":false,"usgs":true,"family":"Storlazzi","given":"C.","affiliations":[],"preferred":false,"id":447767,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ridd, P.","contributorId":55663,"corporation":false,"usgs":true,"family":"Ridd","given":"P.","affiliations":[],"preferred":false,"id":447766,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034815,"text":"70034815 - 2011 - Effects of ignition location models on the burn patterns of simulated wildfires","interactions":[],"lastModifiedDate":"2021-03-16T11:55:53.194341","indexId":"70034815","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1551,"text":"Environmental Modelling and Software","active":true,"publicationSubtype":{"id":10}},"title":"Effects of ignition location models on the burn patterns of simulated wildfires","docAbstract":"<p><span>Fire simulation studies that use models such as FARSITE often assume that ignition locations are distributed randomly, because spatially explicit information about actual ignition locations are difficult to obtain. However, many studies show that the spatial distribution of ignition locations, whether human-caused or natural, is non-random. Thus, predictions from fire simulations based on random ignitions may be unrealistic. However, the extent to which the assumption of ignition location affects the predictions of fire simulation models has never been systematically explored. Our goal was to assess the difference in fire simulations that are based on random versus non-random ignition location patterns. We conducted four sets of 6000 FARSITE simulations for the Santa Monica Mountains in California to quantify the influence of random and non-random ignition locations and normal and extreme weather conditions on fire size distributions and spatial patterns of burn probability. Under extreme weather conditions, fires were significantly larger for non-random ignitions compared to random ignitions (mean area of 344.5&nbsp;ha and 230.1&nbsp;ha, respectively), but burn probability maps were highly correlated (</span><i>r</i><span>&nbsp;=&nbsp;0.83). Under normal weather, random ignitions produced significantly larger fires than non-random ignitions (17.5&nbsp;ha and 13.3&nbsp;ha, respectively), and the&nbsp;spatial correlations&nbsp;between burn probability maps were not high (</span><i>r</i><span>&nbsp;=&nbsp;0.54), though the difference in the average burn probability was small. The results of the study suggest that the location of ignitions used in fire simulation models may substantially influence the&nbsp;spatial predictions&nbsp;of fire spread patterns. However, the spatial bias introduced by using a random ignition location model may be minimized if the fire simulations are conducted under extreme weather conditions when fire spread is greatest.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.envsoft.2010.11.016","issn":"13648152","usgsCitation":"Bar-Massada, A., Syphard, A., Hawbaker, T., Stewart, S.I., and Radeloff, V.C., 2011, Effects of ignition location models on the burn patterns of simulated wildfires: Environmental Modelling and Software, v. 26, no. 5, p. 583-592, https://doi.org/10.1016/j.envsoft.2010.11.016.","productDescription":"10 p.","startPage":"583","endPage":"592","costCenters":[],"links":[{"id":243860,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Malibu","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -119.22088623046875,\n              33.920571528675076\n            ],\n            [\n              -118.41064453125,\n              33.920571528675076\n            ],\n            [\n              -118.41064453125,\n              34.22088697429016\n            ],\n            [\n              -119.22088623046875,\n              34.22088697429016\n            ],\n            [\n              -119.22088623046875,\n              33.920571528675076\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"26","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a0721e4b0c8380cd51588","contributors":{"authors":[{"text":"Bar-Massada, A.","contributorId":7524,"corporation":false,"usgs":true,"family":"Bar-Massada","given":"A.","affiliations":[],"preferred":false,"id":447770,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Syphard, A.D.","contributorId":68950,"corporation":false,"usgs":true,"family":"Syphard","given":"A.D.","email":"","affiliations":[],"preferred":false,"id":447772,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hawbaker, Todd 0000-0003-0930-9154 tjhawbaker@usgs.gov","orcid":"https://orcid.org/0000-0003-0930-9154","contributorId":196234,"corporation":false,"usgs":true,"family":"Hawbaker","given":"Todd","email":"tjhawbaker@usgs.gov","affiliations":[],"preferred":true,"id":447773,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stewart, S. I.","contributorId":99779,"corporation":false,"usgs":false,"family":"Stewart","given":"S.","email":"","middleInitial":"I.","affiliations":[],"preferred":false,"id":447774,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Radeloff, V. C.","contributorId":58467,"corporation":false,"usgs":false,"family":"Radeloff","given":"V.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":447771,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034818,"text":"70034818 - 2011 - Future directions in geobiology and low-temperature geochemistry","interactions":[],"lastModifiedDate":"2017-06-30T09:32:21","indexId":"70034818","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1490,"text":"Elements","active":true,"publicationSubtype":{"id":10}},"title":"Future directions in geobiology and low-temperature geochemistry","docAbstract":"<p>Humanity is confronted with an enormous challenge, as succinctly stated by the late Steven Schneider (2001; quoted by Jantzen 2004*): “Humans are forcing the Earth’s environmental systems to change at a rate that is more advanced than their knowledge of the consequences.” Geobiologists and low-temperature geochemists characterize material from the lithosphere, hydrosphere, atmosphere, and biosphere to understand processes operating within and between these components of the Earth system from the atomic to the planetary scale. For this reason, the interwoven disciplines of geobiology and low-temperature geochemistry are central to understanding and ultimately predicting the behavior of these life-sustaining systems. We present here comments and recommendations from the participants of a workshop entitled “Future Directions in Geobiology and Low-Temperature Geochemistry,” hosted by the Carnegie Institution of Washington, Geophysical Laboratory, Washington, DC, on 27–28 August 2010. The goal of the workshop was to suggest ways to leverage the vast intellectual and analytical capabilities of our diverse scientific community to characterize the Earth’s past, present, and future geochemical habitat as we enter the second decade of what E. O. Wilson dubbed “the century of the environment.” </p>","largerWorkTitle":"Elements","language":"English","publisher":"GeoScienceWorld","issn":"18115209","usgsCitation":"Freeman, K., and Goldhaber, M., 2011, Future directions in geobiology and low-temperature geochemistry: Elements, v. 7, no. 2, p. 138-139.","productDescription":"2","startPage":"138","endPage":"139","ipdsId":"IP-030765","costCenters":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"links":[{"id":243390,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"7","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a1431e4b0c8380cd54949","contributors":{"authors":[{"text":"Freeman, Katherine H.","contributorId":35906,"corporation":false,"usgs":true,"family":"Freeman","given":"Katherine H.","affiliations":[],"preferred":false,"id":447784,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldhaber, M. B. 0000-0002-1785-4243","orcid":"https://orcid.org/0000-0002-1785-4243","contributorId":103280,"corporation":false,"usgs":true,"family":"Goldhaber","given":"M. B.","affiliations":[],"preferred":false,"id":447785,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70035892,"text":"70035892 - 2011 - Characterization of the Cretaceous aquifer structure of the Meskala region of the Essaouira Basin, Morocco","interactions":[],"lastModifiedDate":"2021-02-08T20:33:14.302762","indexId":"70035892","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2147,"text":"Journal of African Earth Sciences","active":true,"publicationSubtype":{"id":10}},"title":"Characterization of the Cretaceous aquifer structure of the Meskala region of the Essaouira Basin, Morocco","docAbstract":"<p><span>The aquifer of early Cretaceous age in the Meskala region of the Essaouira Basin is defined by interpretation of geological drilling data of oil and hydrogeological wells, field measurement and analysis of in situ fracture orientations, and the application of a morphostructural method to identify lineaments. These analyzes are used to develop a stratigraphic–structural model of the aquifer delimited by fault zones of two principal orientations: NNE and WNW. These fault zones define fault blocks that range in area from 4 to 150</span><span>&nbsp;</span><span>km</span><sup>2</sup><span>. These blocks correspond either to elevated zones (horsts) or depressed zones (grabens). This structural setting with faults blocks of Meskala region is in accordance with the structure of the whole Essaouira Basin. Fault zones disrupt the continuity of the aquifer throughout the study area, create recharge and discharge zones, and create dip to the units from approximately 10° to near vertical in various orientations. Fracture measurements and morphometric-lineament analyzes help to identify unmapped faults, and represent features important to groundwater hydraulics and water quality within fault blocks. The above geologic features will enable a better understanding of the behaviour and hydro-geo-chemical and hydrodynamics of groundwater in the Meskala aquifer.</span></p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jafrearsci.2010.12.003","issn":"1464343X","usgsCitation":"Hanich, L., Zouhri, L., and Dinger, J., 2011, Characterization of the Cretaceous aquifer structure of the Meskala region of the Essaouira Basin, Morocco: Journal of African Earth Sciences, v. 59, no. 2-3, p. 313-322, https://doi.org/10.1016/j.jafrearsci.2010.12.003.","productDescription":"10 p.","startPage":"313","endPage":"322","costCenters":[],"links":[{"id":244153,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216290,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1016/j.jafrearsci.2010.12.003"}],"country":"Morocco","otherGeospatial":"Essaouira Basin","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -8.712158203125,\n              31.306715155075167\n            ],\n            [\n              -6.6796875,\n              31.306715155075167\n            ],\n            [\n              -6.6796875,\n              32.731840896865684\n            ],\n            [\n              -8.712158203125,\n              32.731840896865684\n            ],\n            [\n              -8.712158203125,\n              31.306715155075167\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"59","issue":"2-3","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f4e2e4b0c8380cd4bf97","contributors":{"authors":[{"text":"Hanich, L.","contributorId":63643,"corporation":false,"usgs":true,"family":"Hanich","given":"L.","email":"","affiliations":[],"preferred":false,"id":452968,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Zouhri, L.","contributorId":58117,"corporation":false,"usgs":true,"family":"Zouhri","given":"L.","email":"","affiliations":[],"preferred":false,"id":452967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dinger, J.","contributorId":69788,"corporation":false,"usgs":true,"family":"Dinger","given":"J.","email":"","affiliations":[],"preferred":false,"id":452969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034819,"text":"70034819 - 2011 - Effects of uncertain topographic input data on two-dimensional flow modeling in a gravel-bed river","interactions":[],"lastModifiedDate":"2012-03-12T17:21:43","indexId":"70034819","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Effects of uncertain topographic input data on two-dimensional flow modeling in a gravel-bed river","docAbstract":"Many applications in river research and management rely upon two-dimensional (2D) numerical models to characterize flow fields, assess habitat conditions, and evaluate channel stability. Predictions from such models are potentially highly uncertain due to the uncertainty associated with the topographic data provided as input. This study used a spatial stochastic simulation strategy to examine the effects of topographic uncertainty on flow modeling. Many, equally likely bed elevation realizations for a simple meander bend were generated and propagated through a typical 2D model to produce distributions of water-surface elevation, depth, velocity, and boundary shear stress at each node of the model's computational grid. Ensemble summary statistics were used to characterize the uncertainty associated with these predictions and to examine the spatial structure of this uncertainty in relation to channel morphology. Simulations conditioned to different data configurations indicated that model predictions became increasingly uncertain as the spacing between surveyed cross sections increased. Model sensitivity to topographic uncertainty was greater for base flow conditions than for a higher, subbankfull flow (75% of bankfull discharge). The degree of sensitivity also varied spatially throughout the bend, with the greatest uncertainty occurring over the point bar where the flow field was influenced by topographic steering effects. Uncertain topography can therefore introduce significant uncertainty to analyses of habitat suitability and bed mobility based on flow model output. In the presence of such uncertainty, the results of these studies are most appropriately represented in probabilistic terms using distributions of model predictions derived from a series of topographic realizations. Copyright 2011 by the American Geophysical Union.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Water Resources Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1029/2010WR009618","issn":"00431397","usgsCitation":"Legleiter, C., Kyriakidis, P., McDonald, R.R., and Nelson, J.M., 2011, Effects of uncertain topographic input data on two-dimensional flow modeling in a gravel-bed river: Water Resources Research, v. 47, no. 3, https://doi.org/10.1029/2010WR009618.","costCenters":[],"links":[{"id":243391,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215577,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1029/2010WR009618"}],"volume":"47","issue":"3","noUsgsAuthors":false,"publicationDate":"2011-03-15","publicationStatus":"PW","scienceBaseUri":"505a081ae4b0c8380cd51996","contributors":{"authors":[{"text":"Legleiter, C.J.","contributorId":104727,"corporation":false,"usgs":true,"family":"Legleiter","given":"C.J.","affiliations":[],"preferred":false,"id":447789,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kyriakidis, P.C.","contributorId":66506,"corporation":false,"usgs":true,"family":"Kyriakidis","given":"P.C.","email":"","affiliations":[],"preferred":false,"id":447786,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"McDonald, R. R.","contributorId":72810,"corporation":false,"usgs":true,"family":"McDonald","given":"R.","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":447788,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nelson, J. M.","contributorId":68687,"corporation":false,"usgs":true,"family":"Nelson","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":447787,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70035365,"text":"70035365 - 2011 - Bat ecology and public health surveillance for rabies in an urbanizing region of Colorado","interactions":[],"lastModifiedDate":"2021-02-24T19:55:26.772805","indexId":"70035365","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3669,"text":"Urban Ecosystems","active":true,"publicationSubtype":{"id":10}},"title":"Bat ecology and public health surveillance for rabies in an urbanizing region of Colorado","docAbstract":"<p><span>We describe use of Fort Collins, Colorado, and nearby areas by bats in 2001–2005, and link patterns in bat ecology with concurrent public health surveillance for rabies. Our analyses are based on evaluation of summary statistics, and information-theoretic support for results of simple logistic regression. Based on captures in mist nets, the city bat fauna differed from that of the adjacent mountains, and was dominated by big brown bats (</span><i>Eptesicus fuscus</i><span>). Species, age, and sex composition of bats submitted for rabies testing locally and along the urbanizing Front Range Corridor were similar to those of the mist-net captures and reflected the annual cycle of reproduction and activity of big brown bats. Few submissions occurred November- March, when these bats hibernated elsewhere. In summer females roosted in buildings in colonies and dominated health samples; fledging of young corresponded to a summer peak in health submissions with no increase in rabies prevalence. Roosting ecology of big brown bats in buildings was similar to that reported for natural sites, including colony size, roost-switching behavior, fidelity to roosts in a small area, and attributes important for roost selection. Attrition in roosts occurred from structural modifications of buildings to exclude colonies by citizens, but without major effects on long-term bat reproduction or survival. Bats foraged in areas set aside for nature conservation. A pattern of lower diversity in urban bat communities with dominance by big brown bats may occur widely in the USA, and is consistent with national public health records for rabies surveillance.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s11252-011-0182-7","issn":"10838155","usgsCitation":"O’Shea, T.J., Neubaum, D., Neubaum, M., Cryan, P.M., Ellison, L.E., Stanley, T., Rupprecht, C.E., Pape, W., and Bowen, R.A., 2011, Bat ecology and public health surveillance for rabies in an urbanizing region of Colorado: Urban Ecosystems, v. 14, no. 4, p. 665-697, https://doi.org/10.1007/s11252-011-0182-7.","productDescription":"33 p.","startPage":"665","endPage":"697","costCenters":[],"links":[{"id":242978,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215195,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s11252-011-0182-7"}],"country":"United States","state":"Colorado","otherGeospatial":"Fort Collins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.21881103515625,\n              40.44694705960048\n            ],\n            [\n              -104.8809814453125,\n              40.44694705960048\n            ],\n            [\n              -104.8809814453125,\n              40.613952441166596\n            ],\n            [\n              -105.21881103515625,\n              40.613952441166596\n            ],\n            [\n              -105.21881103515625,\n              40.44694705960048\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"14","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-06-01","publicationStatus":"PW","scienceBaseUri":"5059eff2e4b0c8380cd4a52a","contributors":{"authors":[{"text":"O’Shea, Thomas J. osheat@usgs.gov","contributorId":2327,"corporation":false,"usgs":true,"family":"O’Shea","given":"Thomas","email":"osheat@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":450343,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Neubaum, D.J.","contributorId":43720,"corporation":false,"usgs":true,"family":"Neubaum","given":"D.J.","email":"","affiliations":[],"preferred":false,"id":450342,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neubaum, M.A.","contributorId":50866,"corporation":false,"usgs":true,"family":"Neubaum","given":"M.A.","email":"","affiliations":[],"preferred":false,"id":450344,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cryan, Paul M. 0000-0002-2915-8894 cryanp@usgs.gov","orcid":"https://orcid.org/0000-0002-2915-8894","contributorId":2356,"corporation":false,"usgs":true,"family":"Cryan","given":"Paul","email":"cryanp@usgs.gov","middleInitial":"M.","affiliations":[{"id":547,"text":"Rocky Mountain Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":450347,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Ellison, Laura E. ellisonl@usgs.gov","contributorId":3220,"corporation":false,"usgs":true,"family":"Ellison","given":"Laura","email":"ellisonl@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":450350,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stanley, T.R.","contributorId":61379,"corporation":false,"usgs":true,"family":"Stanley","given":"T.R.","affiliations":[],"preferred":false,"id":450345,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Rupprecht, C. E.","contributorId":101602,"corporation":false,"usgs":false,"family":"Rupprecht","given":"C.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":450349,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Pape, W.J.","contributorId":101225,"corporation":false,"usgs":true,"family":"Pape","given":"W.J.","email":"","affiliations":[],"preferred":false,"id":450348,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Bowen, R. A.","contributorId":80623,"corporation":false,"usgs":false,"family":"Bowen","given":"R.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":450346,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70034821,"text":"70034821 - 2011 - Geostatistical modeling of riparian forest microclimate and its implications for sampling","interactions":[],"lastModifiedDate":"2017-11-20T11:44:54","indexId":"70034821","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1170,"text":"Canadian Journal of Forest Research","active":true,"publicationSubtype":{"id":10}},"title":"Geostatistical modeling of riparian forest microclimate and its implications for sampling","docAbstract":"Predictive models of microclimate under various site conditions in forested headwater stream - riparian areas are poorly developed, and sampling designs for characterizing underlying riparian microclimate gradients are sparse. We used riparian microclimate data collected at eight headwater streams in the Oregon Coast Range to compare ordinary kriging (OK), universal kriging (UK), and kriging with external drift (KED) for point prediction of mean maximum air temperature (Tair). Several topographic and forest structure characteristics were considered as site-specific parameters. Height above stream and distance to stream were the most important covariates in the KED models, which outperformed OK and UK in terms of root mean square error. Sample patterns were optimized based on the kriging variance and the weighted means of shortest distance criterion using the simulated annealing algorithm. The optimized sample patterns outperformed systematic sample patterns in terms of mean kriging variance mainly for small sample sizes. These findings suggest methods for increasing efficiency of microclimate monitoring in riparian areas.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Canadian Journal of Forest Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","doi":"10.1139/x11-015","issn":"00455067","usgsCitation":"Eskelson, B., Anderson, P.D., Hagar, J., and Temesgen, H., 2011, Geostatistical modeling of riparian forest microclimate and its implications for sampling: Canadian Journal of Forest Research, v. 41, no. 5, p. 974-985, https://doi.org/10.1139/x11-015.","startPage":"974","endPage":"985","numberOfPages":"12","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":243425,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215611,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1139/x11-015"}],"volume":"41","issue":"5","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a28b2e4b0c8380cd5a317","contributors":{"authors":[{"text":"Eskelson, B.N.I.","contributorId":79725,"corporation":false,"usgs":true,"family":"Eskelson","given":"B.N.I.","affiliations":[],"preferred":false,"id":447799,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Anderson, P. D.","contributorId":91189,"corporation":false,"usgs":true,"family":"Anderson","given":"P.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":447800,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Hagar, J.C.","contributorId":46208,"corporation":false,"usgs":true,"family":"Hagar","given":"J.C.","affiliations":[],"preferred":false,"id":447797,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Temesgen, H.","contributorId":50371,"corporation":false,"usgs":true,"family":"Temesgen","given":"H.","affiliations":[],"preferred":false,"id":447798,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034822,"text":"70034822 - 2011 - Biomarkers of mercury exposure in two eastern Ukraine cities","interactions":[],"lastModifiedDate":"2020-01-11T11:55:30","indexId":"70034822","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2404,"text":"Journal of Occupational and Environmental Hygiene","active":true,"publicationSubtype":{"id":10}},"title":"Biomarkers of mercury exposure in two eastern Ukraine cities","docAbstract":"<div class=\"hlFld-Abstract test\"><div class=\"abstractSection abstractInFull\"><p>This study evaluates biomarkers of mercury exposure among residents of Horlivka, a city in eastern Ukraine located in an area with geologic and industrial sources of environmental mercury, and residents of Artemivsk, a nearby comparison city outside the mercury-enriched area. Samples of urine, blood, hair, and nails were collected from study participants, and a questionnaire was administered to obtain data on age, gender, occupational history, smoking, alcohol consumption, fish consumption, tattoos, dental amalgams, home heating system, education, source of drinking water, and family employment in mines. Median biomarker mercury concentrations in Artemivsk were 0.26 μg/g-Cr (urine), 0.92 μg/L (blood), 0.42 μg/g (hair), 0.11 μg/g (toenails), and 0.09 μg/g (fingernails); median concentrations in Horlivka were 0.15 μg/g-Cr (urine), 1.01 μg/L (blood), 0.14 μg/g (hair), 0.31 μg/g (toenails), and 0.31 μg/g (fingernails). Biomarkers of mercury exposure for study participants from Horlivka and Artemivsk are low in comparison with occupationally exposed workers at a mercury recycling facility in Horlivka and in comparison with exposures known to be associated with clinical effects. Blood and urinary mercury did not suggest a higher mercury exposure among Horlivka residents as compared with Artemivsk; however, three individuals living in the immediate vicinity of the mercury mines had elevated blood and urinary mercury, relative to overall results for either city. For a limited number of residents from Horlivka (N = 7) and Artemivsk (N = 4), environmental samples (vacuum cleaner dust, dust wipes, soil) were collected from their residences. Mercury concentrations in vacuum cleaner dust and soil were good predictors of blood and urinary mercury.</p></div></div>","language":"English","publisher":"Taylor and Francis","doi":"10.1080/15459624.2011.556984","issn":"15459624","usgsCitation":"Gibb, H., Haver, C., Kozlov, K., Centeno, J., Jurgenson, V., Kolker, A., Conko, K.M., Landa, E.R., and Xu, H., 2011, Biomarkers of mercury exposure in two eastern Ukraine cities: Journal of Occupational and Environmental Hygiene, v. 8, no. 4, p. 187-193, https://doi.org/10.1080/15459624.2011.556984.","productDescription":"7 p.","startPage":"187","endPage":"193","numberOfPages":"7","costCenters":[{"id":381,"text":"Mercury Research Laboratory","active":false,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":243456,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Ukraine","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[31.786,52.10168],[32.15941,52.06127],[32.41206,52.28869],[32.71576,52.23847],[33.7527,52.33507],[34.39173,51.76888],[34.14198,51.56641],[34.22482,51.25599],[35.02218,51.20757],[35.37792,50.77396],[35.35612,50.5772],[36.62617,50.22559],[37.39346,50.38395],[38.01063,49.91566],[38.59499,49.92646],[40.06906,49.60106],[40.08079,49.30743],[39.67466,48.78382],[39.89563,48.23241],[39.73828,47.89894],[38.77058,47.82561],[38.25511,47.5464],[38.22354,47.10219],[37.42514,47.02222],[36.75985,46.6987],[35.82368,46.64596],[34.96234,46.2732],[35.02079,45.65122],[35.51001,45.40999],[36.53,45.46999],[36.33471,45.11322],[35.24,44.94],[33.88251,44.36148],[33.32642,44.56488],[33.54692,45.03477],[32.45417,45.32747],[32.6308,45.51919],[33.58816,45.85157],[33.29857,46.0806],[31.74414,46.33335],[31.67531,46.70625],[30.74875,46.5831],[30.37761,46.03241],[29.60329,45.29331],[29.14972,45.46493],[28.67978,45.30403],[28.23355,45.48828],[28.48527,45.59691],[28.65999,45.93999],[28.93372,46.25883],[28.86297,46.43789],[29.07211,46.51768],[29.17065,46.37926],[29.75997,46.34999],[30.02466,46.42394],[29.83821,46.52533],[29.90885,46.67436],[29.55967,46.92858],[29.41514,47.34665],[29.05087,47.51023],[29.1227,47.8491],[28.67089,48.11815],[28.25955,48.15556],[27.52254,48.46712],[26.85782,48.36821],[26.61934,48.22073],[26.19745,48.22088],[25.94594,47.98715],[25.20774,47.89106],[24.86632,47.73753],[24.40206,47.98188],[23.76096,47.9856],[23.14224,48.09634],[22.71053,47.88219],[22.64082,48.15024],[22.08561,48.42226],[22.28084,48.82539],[22.55814,49.08574],[22.77642,49.0274],[22.51845,49.47677],[23.42651,50.30851],[23.92276,50.42488],[24.02999,50.70541],[23.52707,51.57845],[24.00508,51.61744],[24.55311,51.88846],[25.32779,51.91066],[26.33796,51.83229],[27.45407,51.5923],[28.24162,51.57223],[28.61761,51.42771],[28.99284,51.60204],[29.25494,51.36823],[30.15736,51.41614],[30.55512,51.3195],[30.61945,51.82281],[30.92755,52.04235],[31.786,52.10168]]]},\"properties\":{\"name\":\"Ukraine\"}}]}","volume":"8","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f18ae4b0c8380cd4acb1","contributors":{"authors":[{"text":"Gibb, 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V.","contributorId":88968,"corporation":false,"usgs":true,"family":"Jurgenson","given":"V.","email":"","affiliations":[],"preferred":false,"id":447807,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kolker, Allan 0000-0002-5768-4533 akolker@usgs.gov","orcid":"https://orcid.org/0000-0002-5768-4533","contributorId":643,"corporation":false,"usgs":true,"family":"Kolker","given":"Allan","email":"akolker@usgs.gov","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":779343,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Conko, Kathryn M. 0000-0001-6361-4921 kmconko@usgs.gov","orcid":"https://orcid.org/0000-0001-6361-4921","contributorId":2930,"corporation":false,"usgs":true,"family":"Conko","given":"Kathryn","email":"kmconko@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":779344,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Landa, Edward R. erlanda@usgs.gov","contributorId":2112,"corporation":false,"usgs":true,"family":"Landa","given":"Edward","email":"erlanda@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":779345,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Xu, H.","contributorId":83331,"corporation":false,"usgs":true,"family":"Xu","given":"H.","email":"","affiliations":[],"preferred":false,"id":447806,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70035389,"text":"70035389 - 2011 - Are temperate mature forests buffered from invasive lianas?","interactions":[],"lastModifiedDate":"2012-12-28T14:32:05","indexId":"70035389","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2571,"text":"Journal of the Torrey Botanical Society","active":true,"publicationSubtype":{"id":10}},"title":"Are temperate mature forests buffered from invasive lianas?","docAbstract":"Mature and old-growth forests are often thought to be buffered against invasive species due to low levels of light and infrequent disturbance. Lianas (woody vines) and other climbing plants are also known to exhibit lower densities in older forests. As part of a larger survey of the lianas of the southern Lake Michigan region in mature and old-growth forests, the level of infestation by invasive lianas was evaluated. The only invasive liana detected in these surveys was <i>Celastrus orbiculatus</i> Thunb. (Celastraceae). Although this species had only attached to trees and reached the canopy in a few instances, it was present in 30% of transects surveyed, mostly as a component of the ground layer. Transects with <i>C. orbiculatus</i> had higher levels of soil potassium and higher liana richness than transects without. In contrast, transects with the native <i>C. scandens</i> had higher pH, sand content, and soil magnesium and lower organic matter compared to transects where it was absent. <i>Celastrus orbiculatus</i> appears to be a generalist liana since it often occurs with native lianas. <i>Celastrus orbiculatus</i> poses a substantial threat to mature forests as it will persist in the understory until a canopy gap or other disturbance provides the light and supports necessary for it to ascend to the canopy and damage tree species. As a result, these forests should be monitored by land managers so that <i>C. orbiculatus</i> eradication can occur while invasions are at low densities and restricted to the ground layer.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Journal of the Torrey Botanical Society","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Torrey Botanical Society","publisherLocation":"Lawrence, KS","doi":"10.3159/10-RA-055.1","issn":"10955674","usgsCitation":"Pavlovic, N.B., and Leicht-Young, S.A., 2011, Are temperate mature forests buffered from invasive lianas?: Journal of the Torrey Botanical Society, v. 138, no. 1, p. 85-92, https://doi.org/10.3159/10-RA-055.1.","productDescription":"8 p.","startPage":"85","endPage":"92","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":215555,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.3159/10-RA-055.1"},{"id":243367,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Indiana;Michigan;Illinois","otherGeospatial":"Lake Michigan","volume":"138","issue":"1","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059ed60e4b0c8380cd4978f","contributors":{"authors":[{"text":"Pavlovic, Noel B. 0000-0002-2335-2274 npavlovic@usgs.gov","orcid":"https://orcid.org/0000-0002-2335-2274","contributorId":1976,"corporation":false,"usgs":true,"family":"Pavlovic","given":"Noel","email":"npavlovic@usgs.gov","middleInitial":"B.","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":450427,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leicht-Young, Stacey A.","contributorId":80506,"corporation":false,"usgs":false,"family":"Leicht-Young","given":"Stacey","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":450428,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034840,"text":"70034840 - 2011 - Comparison of bottom-track to global positioning system referenced discharges measured using an acoustic Doppler current profiler","interactions":[],"lastModifiedDate":"2017-12-20T13:07:41","indexId":"70034840","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of bottom-track to global positioning system referenced discharges measured using an acoustic Doppler current profiler","docAbstract":"<p>A negative bias in discharge measurements made with an acoustic Doppler current profiler (ADCP) can be caused by the movement of sediment on or near the streambed. The integration of a global positioning system (GPS) to track the movement of the ADCP can be used to avoid the systematic negative bias associated with a moving streambed. More than 500 discharge transects from 63 discharge measurements with GPS data were collected at sites throughout the US, Canada, and New Zealand with no moving bed to compare GPS and bottom-track-referenced discharges. Although the data indicated some statistical bias depending on site conditions and type of GPS data used, these biases were typically about 0.5% or less. An assessment of differential correction sources was limited by a lack of data collected in a range of different correction sources and different GPS receivers at the same sites. Despite this limitation, the data indicate that the use of Wide Area Augmentation System (WAAS) corrected positional data is acceptable for discharge measurements using GGA as the boat-velocity reference. The discharge data based on GPS-referenced boat velocities from the VTG data string, which does not require differential correction, were comparable to the discharges based on GPS-referenced boat velocities from the differentially-corrected GGA data string. Spatial variability of measure discharges referenced to GGA, VTG and bottom-tracking is higher near the channel banks. The spatial variability of VTG-referenced discharges is correlated with the spatial distribution of maximum Horizontal Dilution of Precision (HDOP) values and the spatial variability of GGA-referenced discharges is correlated with proximity to channel banks.</p>","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2011.02.025","issn":"00221694","usgsCitation":"Wagner, C., and Mueller, D.S., 2011, Comparison of bottom-track to global positioning system referenced discharges measured using an acoustic Doppler current profiler: Journal of Hydrology, v. 401, no. 3-4, p. 250-258, https://doi.org/10.1016/j.jhydrol.2011.02.025.","productDescription":"9 p.","startPage":"250","endPage":"258","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":243801,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"401","issue":"3-4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059f853e4b0c8380cd4d015","contributors":{"authors":[{"text":"Wagner, Chad R. 0000-0002-9602-7413 cwagner@usgs.gov","orcid":"https://orcid.org/0000-0002-9602-7413","contributorId":1530,"corporation":false,"usgs":true,"family":"Wagner","given":"Chad R.","email":"cwagner@usgs.gov","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true},{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":false,"id":447888,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mueller, David S. dmueller@usgs.gov","contributorId":1499,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"dmueller@usgs.gov","middleInitial":"S.","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":447887,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034843,"text":"70034843 - 2011 - Genetic diversity and demographic instability in Riftia pachyptila tubeworms from eastern Pacific hydrothermal vents","interactions":[],"lastModifiedDate":"2021-03-10T20:58:34.18535","indexId":"70034843","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":955,"text":"BMC Evolutionary Biology","active":true,"publicationSubtype":{"id":10}},"title":"Genetic diversity and demographic instability in Riftia pachyptila tubeworms from eastern Pacific hydrothermal vents","docAbstract":"<p>Deep-sea hydrothermal vent animals occupy patchy and ephemeral habitats supported by chemosynthetic primary production. Volcanic and tectonic activities controlling the turnover of these habitats contribute to demographic instability that erodes genetic variation within and among colonies of these animals. We examined DNA sequences from one mitochondrial and three nuclear gene loci to assess genetic diversity in the siboglinid tubeworm,<span>&nbsp;</span><i>Riftia pachyptila</i>, a widely distributed constituent of vents along the East Pacific Rise and Galápagos Rift.</p><p>Genetic differentiation (<i>F</i><sub><span>&nbsp;</span><i>ST</i><span>&nbsp;</span></sub>) among populations increased with geographical distances, as expected under a linear stepping-stone model of dispersal. Low levels of DNA sequence diversity occurred at all four loci, allowing us to exclude the hypothesis that an idiosyncratic selective sweep eliminated mitochondrial diversity alone. Total gene diversity declined with tectonic spreading rates. The southernmost populations, which are subjected to superfast spreading rates and high probabilities of extinction, are relatively homogenous genetically.</p><p>Compared to other vent species, DNA sequence diversity is extremely low in<span>&nbsp;</span><i>R. pachyptila</i>. Though its dispersal abilities appear to be effective, the low diversity, particularly in southern hemisphere populations, is consistent with frequent local extinction and (re)colonization events</p>","language":"English","publisher":"BioMed Central","doi":"10.1186/1471-2148-11-96","issn":"14712148","usgsCitation":"Coykendall, D., Johnson, S., Karl, S., Lutz, R., and Vrijenhoek, R., 2011, Genetic diversity and demographic instability in Riftia pachyptila tubeworms from eastern Pacific hydrothermal vents: BMC Evolutionary Biology, v. 11, no. 1, 11 p., https://doi.org/10.1186/1471-2148-11-96.","productDescription":"11 p.","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":475067,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/1471-2148-11-96","text":"Publisher Index Page"},{"id":243863,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216024,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1186/1471-2148-11-96"}],"otherGeospatial":"Eastern Pacific Ocean","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.8515625,\n              27.68352808378776\n            ],\n            [\n              -109.6875,\n              21.94304553343818\n            ],\n            [\n              -109.3359375,\n              11.523087506868514\n            ],\n            [\n              -103.71093749999999,\n              -46.55886030311717\n            ],\n            [\n              -86.1328125,\n              -47.27922900257082\n            ],\n            [\n              -92.46093749999999,\n              0\n            ],\n            [\n              -98.4375,\n              13.581920900545844\n            ],\n            [\n              -111.09374999999999,\n              28.92163128242129\n            ],\n            [\n              -112.8515625,\n              27.68352808378776\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"11","issue":"1","noUsgsAuthors":false,"publicationDate":"2011-04-13","publicationStatus":"PW","scienceBaseUri":"505a1572e4b0c8380cd54dfe","contributors":{"authors":[{"text":"Coykendall, Dolly","contributorId":215163,"corporation":false,"usgs":true,"family":"Coykendall","given":"Dolly","email":"","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":447896,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Johnson, S.B.","contributorId":80894,"corporation":false,"usgs":true,"family":"Johnson","given":"S.B.","email":"","affiliations":[],"preferred":false,"id":447898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Karl, S.A.","contributorId":6281,"corporation":false,"usgs":true,"family":"Karl","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":447894,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lutz, R.A.","contributorId":30388,"corporation":false,"usgs":true,"family":"Lutz","given":"R.A.","email":"","affiliations":[],"preferred":false,"id":447895,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Vrijenhoek, R.C.","contributorId":68132,"corporation":false,"usgs":true,"family":"Vrijenhoek","given":"R.C.","affiliations":[],"preferred":false,"id":447897,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70034847,"text":"70034847 - 2011 - From intuition to statistics in building subsurface structural models","interactions":[],"lastModifiedDate":"2012-03-12T17:21:43","indexId":"70034847","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3796,"text":"World Oil","active":true,"publicationSubtype":{"id":10}},"title":"From intuition to statistics in building subsurface structural models","docAbstract":"Experts associated with the oil and gas exploration industry suggest that combining forward trishear models with stochastic global optimization algorithms allows a quantitative assessment of the uncertainty associated with a given structural model. The methodology is applied to incompletely imaged structures related to deepwater hydrocarbon reservoirs and results are compared to prior manual palinspastic restorations and borehole data. This methodology is also useful for extending structural interpretations into other areas of limited resolution, such as subsalt in addition to extrapolating existing data into seismic data gaps. This technique can be used for rapid reservoir appraisal and potentially have other applications for seismic processing, well planning, and borehole stability analysis.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"World Oil","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","issn":"00438790","usgsCitation":"Brandenburg, J., Alpak, F., Naruk, S., and Solum, J., 2011, From intuition to statistics in building subsurface structural models: World Oil, v. 232, no. 6, p. 97-101.","startPage":"97","endPage":"101","numberOfPages":"5","costCenters":[],"links":[{"id":243427,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"232","issue":"6","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a13fae4b0c8380cd54859","contributors":{"authors":[{"text":"Brandenburg, J.P.","contributorId":56467,"corporation":false,"usgs":true,"family":"Brandenburg","given":"J.P.","email":"","affiliations":[],"preferred":false,"id":447910,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alpak, F.O.","contributorId":90561,"corporation":false,"usgs":true,"family":"Alpak","given":"F.O.","email":"","affiliations":[],"preferred":false,"id":447911,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Naruk, S.","contributorId":45135,"corporation":false,"usgs":true,"family":"Naruk","given":"S.","affiliations":[],"preferred":false,"id":447909,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Solum, J.","contributorId":16228,"corporation":false,"usgs":true,"family":"Solum","given":"J.","affiliations":[],"preferred":false,"id":447908,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70034849,"text":"70034849 - 2011 - The elusive character of discontinuous deep-water channels: New insights from Lucia Chica channel system, offshore California","interactions":[],"lastModifiedDate":"2021-03-10T12:59:42.644824","indexId":"70034849","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1796,"text":"Geology","active":true,"publicationSubtype":{"id":10}},"title":"The elusive character of discontinuous deep-water channels: New insights from Lucia Chica channel system, offshore California","docAbstract":"<p><span>New high-resolution autonomous underwater vehicle (AUV) seafloor images, with 1 m lateral resolution and 0.3 m vertical resolution, reveal unexpected seafloor rugosity and low-relief (&lt;10 m), discontinuous conduits over ∼70 km</span><sup>2</sup><span>. Continuous channel thalwegs were interpreted originally from lower-resolution images, but newly acquired AUV data indicate that a single sinuous channel fed a series of discontinuous lower-relief channels. These discontinuous channels were created by at least four avulsion events. Channel relief, defined as the height from the thalweg to the levee crest, controls avulsions and overall stratigraphic architecture of the depositional area. Flow-stripped turbidity currents separated into and reactivated multiple channels to create a distributary pattern and developed discontinuous trains of cyclic scours and megaflutes, which may be erosional precursors to continuous channels. The diverse features now imaged in the Lucia Chica channel system (offshore California) are likely common in modern and ancient systems with similar overall morphologies, but have not been previously mapped with lower-resolution detection methods in any of these systems.</span></p>","language":"English","publisher":"Geological Society of America.","doi":"10.1130/G31589.1","issn":"00917613","usgsCitation":"Maier, K., Fildani, A., Paull, C.K., Graham, S., McHargue, T., Caress, D., and McGann, M., 2011, The elusive character of discontinuous deep-water channels: New insights from Lucia Chica channel system, offshore California: Geology, v. 39, no. 4, p. 327-330, https://doi.org/10.1130/G31589.1.","productDescription":"4 p.","startPage":"327","endPage":"330","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":243458,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","otherGeospatial":"Lucia Chica channel system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -124.45312499999999,\n              34.14363482031264\n            ],\n            [\n              -120.234375,\n              34.14363482031264\n            ],\n            [\n              -120.234375,\n              37.42252593456307\n            ],\n            [\n              -124.45312499999999,\n              37.42252593456307\n            ],\n            [\n              -124.45312499999999,\n              34.14363482031264\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"39","issue":"4","noUsgsAuthors":false,"publicationDate":"2011-03-08","publicationStatus":"PW","scienceBaseUri":"505babc6e4b08c986b32306f","contributors":{"authors":[{"text":"Maier, K.L.","contributorId":51568,"corporation":false,"usgs":true,"family":"Maier","given":"K.L.","email":"","affiliations":[],"preferred":false,"id":447922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fildani, A.","contributorId":34699,"corporation":false,"usgs":true,"family":"Fildani","given":"A.","affiliations":[],"preferred":false,"id":447919,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Paull, C. K.","contributorId":86845,"corporation":false,"usgs":false,"family":"Paull","given":"C.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":447924,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Graham, S.A.","contributorId":82494,"corporation":false,"usgs":true,"family":"Graham","given":"S.A.","email":"","affiliations":[],"preferred":false,"id":447923,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"McHargue, T.R.","contributorId":35148,"corporation":false,"usgs":true,"family":"McHargue","given":"T.R.","email":"","affiliations":[],"preferred":false,"id":447920,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Caress, D.W.","contributorId":14201,"corporation":false,"usgs":true,"family":"Caress","given":"D.W.","email":"","affiliations":[],"preferred":false,"id":447918,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McGann, Mary 0000-0002-3057-2945 mmcgann@usgs.gov","orcid":"https://orcid.org/0000-0002-3057-2945","contributorId":169540,"corporation":false,"usgs":true,"family":"McGann","given":"Mary","email":"mmcgann@usgs.gov","affiliations":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true},{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":447921,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}}
,{"id":70034868,"text":"70034868 - 2011 - Reconciling multiple data sources to improve accuracy of large-scale prediction of forest disease incidence","interactions":[],"lastModifiedDate":"2021-03-10T12:57:46.160131","indexId":"70034868","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1450,"text":"Ecological Applications","active":true,"publicationSubtype":{"id":10}},"title":"Reconciling multiple data sources to improve accuracy of large-scale prediction of forest disease incidence","docAbstract":"<p><span>Ecological spatial data often come from multiple sources, varying in extent and accuracy. We describe a general approach to reconciling such data sets through the use of the Bayesian hierarchical framework. This approach provides a way for the data sets to borrow strength from one another while allowing for inference on the underlying ecological process. We apply this approach to study the incidence of eastern spruce dwarf mistletoe (</span><i>Arceuthobium pusillum</i><span>) in Minnesota black spruce (</span><i>Picea mariana</i><span>). A Minnesota Department of Natural Resources operational inventory of black spruce stands in northern Minnesota found mistletoe in 11% of surveyed stands, while a small, specific‐pest survey found mistletoe in 56% of the surveyed stands. We reconcile these two surveys within a Bayesian hierarchical framework and predict that 35–59% of black spruce stands in northern Minnesota are infested with dwarf mistletoe.</span></p>","language":"English","publisher":"Ecological Society of America","doi":"10.1890/09-1549.1","issn":"10510761","usgsCitation":"Hanks, E., Hooten, M., and Baker, F., 2011, Reconciling multiple data sources to improve accuracy of large-scale prediction of forest disease incidence: Ecological Applications, v. 21, no. 4, p. 1173-1188, https://doi.org/10.1890/09-1549.1.","productDescription":"16 p.","startPage":"1173","endPage":"1188","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":243802,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -97.20703125,\n              48.99463598353405\n            ],\n            [\n              -96.92138671875,\n              47.517200697839414\n            ],\n            [\n              -96.767578125,\n              46.31658418182218\n            ],\n            [\n              -92.17529296875,\n              46.08847179577592\n            ],\n            [\n              -92.1533203125,\n              46.694667307773116\n            ],\n            [\n              -90.81298828125,\n              47.56170075451973\n            ],\n            [\n              -89.56054687499999,\n              47.81315451752768\n            ],\n            [\n              -91.0546875,\n              48.40003249610685\n            ],\n            [\n              -94.482421875,\n              48.980216985374994\n            ],\n            [\n              -95.2734375,\n              49.49667452747045\n            ],\n            [\n              -97.20703125,\n              48.99463598353405\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"21","issue":"4","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"505a96a0e4b0c8380cd820de","contributors":{"authors":[{"text":"Hanks, E.M.","contributorId":104305,"corporation":false,"usgs":true,"family":"Hanks","given":"E.M.","email":"","affiliations":[],"preferred":false,"id":448073,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hooten, Mevin 0000-0002-1614-723X mhooten@usgs.gov","orcid":"https://orcid.org/0000-0002-1614-723X","contributorId":2958,"corporation":false,"usgs":true,"family":"Hooten","given":"Mevin","email":"mhooten@usgs.gov","affiliations":[{"id":12963,"text":"Colorado Cooperative Fish and Wildlife Research Unit, Fort Collins, CO","active":true,"usgs":false},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":448071,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baker, F.A.","contributorId":103894,"corporation":false,"usgs":true,"family":"Baker","given":"F.A.","email":"","affiliations":[],"preferred":false,"id":448072,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70034874,"text":"70034874 - 2011 - Multinomial mixture model with heterogeneous classification probabilities","interactions":[],"lastModifiedDate":"2021-03-09T18:38:56.901936","indexId":"70034874","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1573,"text":"Environmental and Ecological Statistics","active":true,"publicationSubtype":{"id":10}},"title":"Multinomial mixture model with heterogeneous classification probabilities","docAbstract":"<p><span>Royle and Link (Ecology 86(9):2505–2512, 2005) proposed an analytical method that allowed estimation of multinomial distribution parameters and classification probabilities from categorical data measured with error. While useful, we demonstrate algebraically and by simulations that this method yields biased multinomial parameter estimates when the probabilities of correct category classifications vary among sampling units. We address this shortcoming by treating these probabilities as logit-normal random variables within a Bayesian framework. We use Markov chain Monte Carlo to compute Bayes estimates from a simulated sample from the posterior distribution. Based on simulations, this elaborated Royle-Link model yields nearly unbiased estimates of multinomial and correct classification probability estimates when classification probabilities are allowed to vary according to the normal distribution on the logit scale or according to the Beta distribution. The method is illustrated using categorical submersed aquatic vegetation data.</span></p>","language":"English","publisher":"Springer Link","doi":"10.1007/s10651-009-0131-2","issn":"13528505","usgsCitation":"Holland, M., and Gray, B.R., 2011, Multinomial mixture model with heterogeneous classification probabilities: Environmental and Ecological Statistics, v. 18, no. 2, p. 257-270, https://doi.org/10.1007/s10651-009-0131-2.","productDescription":"14 p.","startPage":"257","endPage":"270","costCenters":[],"links":[{"id":243866,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":216027,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1007/s10651-009-0131-2"}],"volume":"18","issue":"2","noUsgsAuthors":false,"publicationDate":"2010-01-28","publicationStatus":"PW","scienceBaseUri":"505a6033e4b0c8380cd71370","contributors":{"authors":[{"text":"Holland, M.D.","contributorId":90956,"corporation":false,"usgs":true,"family":"Holland","given":"M.D.","email":"","affiliations":[],"preferred":false,"id":448103,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gray, Brian R. 0000-0001-7682-9550 brgray@usgs.gov","orcid":"https://orcid.org/0000-0001-7682-9550","contributorId":2615,"corporation":false,"usgs":true,"family":"Gray","given":"Brian","email":"brgray@usgs.gov","middleInitial":"R.","affiliations":[{"id":606,"text":"Upper Midwest Environmental Sciences Center","active":true,"usgs":true}],"preferred":true,"id":448102,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70034876,"text":"70034876 - 2011 - Adult survival and population growth rate in Colorado big brown bats (Eptesicus fuscus)","interactions":[],"lastModifiedDate":"2021-03-09T17:44:51.824391","indexId":"70034876","displayToPublicDate":"2011-01-01T00:00:00","publicationYear":"2011","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Adult survival and population growth rate in Colorado big brown bats (Eptesicus fuscus)","docAbstract":"<p><span>We studied adult survival and population growth at multiple maternity colonies of big brown bats (</span><i>Eptesicus fuscus</i><span>) in Fort Collins, Colorado. We investigated hypotheses about survival using information-theoretic methods and mark–recapture analyses based on passive detection of adult females tagged with passive integrated transponders. We constructed a 3-stage life-history matrix model to estimate population growth rate (λ) and assessed the relative importance of adult survival and other life-history parameters to population growth through elasticity and sensitivity analysis. Annual adult survival at 5 maternity colonies monitored from 2001 to 2005 was estimated at 0.79 (95% confidence interval [95%&nbsp;</span><i>CI</i><span>] = 0.77–0.82). Adult survival varied by year and roost, with low survival during an extreme drought year, a finding with negative implications for bat populations because of the likelihood of increasing drought in western North America due to global climate change. Adult survival during winter was higher than in summer, and mean life expectancies calculated from survival estimates were lower than maximum longevity records. We modeled adult survival with recruitment parameter estimates from the same population. The study population was growing (λ = 1.096; 95%&nbsp;</span><i>CI</i><span>&nbsp;= 1.057–1.135). Adult survival was the most important demographic parameter for population growth. Growth clearly had the highest elasticity to adult survival, followed by juvenile survival and adult fecundity (approximately equivalent in rank). Elasticity was lowest for fecundity of yearlings. The relative importances of the various life-history parameters for population growth rate are similar to those of large mammals.</span></p>","language":"English","publisher":"Oxford Academic","doi":"10.1644/10-MAMM-A-162.1","issn":"00222372","usgsCitation":"O’Shea, T.J., Ellison, L.E., and Stanley, T.R., 2011, Adult survival and population growth rate in Colorado big brown bats (Eptesicus fuscus): Journal of Mammalogy, v. 92, no. 2, p. 433-443, https://doi.org/10.1644/10-MAMM-A-162.1.","productDescription":"11 p.","startPage":"433","endPage":"443","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":475130,"rank":10000,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1644/10-mamm-a-162.1","text":"Publisher Index Page"},{"id":243395,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":215581,"rank":9999,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1644/10-MAMM-A-162.1"}],"country":"United States","state":"Colorado","otherGeospatial":"Fort Collins","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.2490234375,\n              40.41140480914068\n            ],\n            [\n              -104.82330322265625,\n              40.41140480914068\n            ],\n            [\n              -104.82330322265625,\n              40.70562793820589\n            ],\n            [\n              -105.2490234375,\n              40.70562793820589\n            ],\n            [\n              -105.2490234375,\n              40.41140480914068\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","volume":"92","issue":"2","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5059e6ffe4b0c8380cd477aa","contributors":{"authors":[{"text":"O’Shea, Thomas J. 0000-0002-0758-9730","orcid":"https://orcid.org/0000-0002-0758-9730","contributorId":207270,"corporation":false,"usgs":true,"family":"O’Shea","given":"Thomas","email":"","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":448110,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ellison, Laura E. ellisonl@usgs.gov","contributorId":3220,"corporation":false,"usgs":true,"family":"Ellison","given":"Laura","email":"ellisonl@usgs.gov","middleInitial":"E.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":448112,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Stanley, Thomas R. 0000-0002-8393-0005 stanleyt@usgs.gov","orcid":"https://orcid.org/0000-0002-8393-0005","contributorId":209928,"corporation":false,"usgs":true,"family":"Stanley","given":"Thomas","email":"stanleyt@usgs.gov","middleInitial":"R.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":448111,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
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