Use next-generation sequencing to develop microsatellite loci that will provide the variability necessary for studies of genetic diversity and population connectivity of two New World vulture species.
We characterized 11 microsatellite loci for black vultures (Coragyps atratus) and 14 loci for turkey vultures (Cathartes aura). These microsatellite loci were grouped into 3 multiplex panels for each species. The number of alleles among black vulture samples ranged from 2 to 11, and 3 to 48 among turkey vulture samples.
","language":"English","publisher":"Springer Nature","doi":"10.1186/s13104-019-4295-z","usgsCitation":"Wostenberg, D.J., Fike, J., Oyler-McCance, S.J., Avery, M.L., and Piaggio, A.J., 2019, Development of microsatellite loci for two New World vultures (Cathartidae): BMC Research Notes, v. 12, 257, 6 p., https://doi.org/10.1186/s13104-019-4295-z.","productDescription":"257, 6 p.","ipdsId":"IP-102828","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":467609,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1186/s13104-019-4295-z","text":"Publisher Index Page"},{"id":379588,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"12","noUsgsAuthors":false,"publicationDate":"2019-05-09","publicationStatus":"PW","contributors":{"authors":[{"text":"Wostenberg, Darren J","contributorId":243551,"corporation":false,"usgs":false,"family":"Wostenberg","given":"Darren","email":"","middleInitial":"J","affiliations":[{"id":48728,"text":"NWRC","active":true,"usgs":false}],"preferred":false,"id":802521,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fike, Jennifer A. 0000-0001-8797-7823","orcid":"https://orcid.org/0000-0001-8797-7823","contributorId":207268,"corporation":false,"usgs":true,"family":"Fike","given":"Jennifer A.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":802522,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Oyler-McCance, Sara J. 0000-0003-1599-8769 sara_oyler-mccance@usgs.gov","orcid":"https://orcid.org/0000-0003-1599-8769","contributorId":1973,"corporation":false,"usgs":true,"family":"Oyler-McCance","given":"Sara","email":"sara_oyler-mccance@usgs.gov","middleInitial":"J.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":802523,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Avery, Michael L.","contributorId":211841,"corporation":false,"usgs":false,"family":"Avery","given":"Michael","email":"","middleInitial":"L.","affiliations":[{"id":36589,"text":"USDA","active":true,"usgs":false}],"preferred":false,"id":802524,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Piaggio, Antoinette J.","contributorId":174782,"corporation":false,"usgs":false,"family":"Piaggio","given":"Antoinette","email":"","middleInitial":"J.","affiliations":[{"id":12434,"text":"USDA, Wildlife Services, National Wildlife Research Center","active":true,"usgs":false}],"preferred":false,"id":802525,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70216744,"text":"70216744 - 2019 - The Orange Tuff: A Late Pleistocene tephra-fall deposit emplaced by a VEI 5 silicic Plinian eruption in West Java, Indonesia","interactions":[],"lastModifiedDate":"2020-12-04T00:37:43.355744","indexId":"70216744","displayToPublicDate":"2019-05-17T18:33:16","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1109,"text":"Bulletin of Volcanology","active":true,"publicationSubtype":{"id":10}},"title":"The Orange Tuff: A Late Pleistocene tephra-fall deposit emplaced by a VEI 5 silicic Plinian eruption in West Java, Indonesia","docAbstract":"A VEI 5 dacite eruption emplaced the Orange Tuff about between 34.3 cal kBP and 17.2 cal kBP. Gunung Salak is the unit’s source and the Orange Tuff represents the most recent such eruption from any of the volcanoes southwest of Bogor, Indonesia. The Orange Tuff is the region’s first such documented tephra-fall deposit whose characteristics and phenocryst geochemistry make it readily identifiable over at least 1250 km2. Magnetite compositions and temperature and fO2 estimates inferred from Fe-Ti oxide compositions are particularly useful for identifying the unit. Deposit characteristics suggest that the eruption lasted 1–11 h with mass eruption rates of 1.0–8.3 × 108 kg/s and a column height of 31–40 km. The eruption’s column height and the deposit’s 2.5–11 km3 volume suggest that the unit was dispersed over a much wider area than mapped. The unit is a marker bed throughout its mapped distribution and has potential to be applied over a much broader area as a regional marker bed. The large population and infrastructure proximal to Salak suggest that the unit should be considered in hazards assessments despite its age and the lack of subsequent similar eruptions.
Eastern carpenter bees, Xylocopa virginica (L.) (Hymenoptera: Apidae), are among the most abundant native bee visitors to highbush blueberry, Vaccinium corymbosum L., flowers in the northeastern United States, and they sometimes display corolla-slitting behavior to rob nectar. We studied foraging behavior of X. virginica on 14 blueberry cultivars in an experimental planting in Rhode Island, and assessed factors related to slitting frequency, and the effects of slitting on fruit set and blueberry quality. Among 14 cultivars in bloom, an average of 35% (range 16–67%) of flowers were slit in 2017, and 39% (range 20–62%) in 2018. Factors that affected the proportion of corollas slit included cultivar, anther length, flower volume, and number of days in bloom at or above 15°C. Corolla slitting did not affect fruit set. Average weight and percent soluble solids of fruit resulting from slit and non-slit corollas did not differ significantly in two early- (‘Bluehaven’, ‘Earliblue’), two mid- (‘Collins’, ‘Bluecrop’), and two late-season (‘Herbert’, ‘Lateblue’) ripening cultivars in 2017. In 2018, average fruit weight and percent soluble solids resulting from slit and non-slit flowers did not differ significantly in most cultivars, but slit corollas resulted in berries with greater mass in two cultivars, ‘Bluehaven’ and ‘Collins’. ‘Collins’ fruit from non-slit corollas had a significantly higher percentage of soluble solids at maturity than fruit from slit corollas in 2018. Corolla slitting and nectar robbery by X. virginica did not have a significant negative effect on fruit quality under the described growing conditions and pollinator community.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/ee/nvz055","usgsCitation":"Tucker, S.K., Ginsberg, H., and Alm, S.R., 2019, Effect of corolla slitting and nectar robbery by the Eastern Carpenter Bee (Hymenoptera: Apidae) on fruit quality of Vaccinium corymbosum, L.; (Ericales: Ericaceae).: Environmental Entomology, v. 48, no. 3, p. 718-726, https://doi.org/10.1093/ee/nvz055.","productDescription":"9 p.","startPage":"718","endPage":"726","ipdsId":"IP-104445","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":467612,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/ee/nvz055","text":"Publisher Index Page"},{"id":364524,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Rhode 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Island\",\"nation\":\"USA \"}}]}","volume":"48","issue":"3","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Tucker, Sara K","contributorId":216119,"corporation":false,"usgs":false,"family":"Tucker","given":"Sara","email":"","middleInitial":"K","affiliations":[{"id":6922,"text":"University of Rhode Island","active":true,"usgs":false}],"preferred":false,"id":763919,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ginsberg, Howard S. 0000-0002-4933-2466 hginsberg@usgs.gov","orcid":"https://orcid.org/0000-0002-4933-2466","contributorId":147665,"corporation":false,"usgs":true,"family":"Ginsberg","given":"Howard S.","email":"hginsberg@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":763918,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alm, Steven R.","contributorId":177872,"corporation":false,"usgs":false,"family":"Alm","given":"Steven","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":763920,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70228355,"text":"70228355 - 2019 - Using an individual-based model to assess common biases in lek-based count data to estimate population trajectories of lesser prairie-chickens","interactions":[],"lastModifiedDate":"2022-02-09T19:58:18.2157","indexId":"70228355","displayToPublicDate":"2019-05-17T13:52:38","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2980,"text":"PLoS ONE","active":true,"publicationSubtype":{"id":10}},"title":"Using an individual-based model to assess common biases in lek-based count data to estimate population trajectories of lesser prairie-chickens","docAbstract":"Researchers and managers are often interested in monitoring the underlying state of a population (e.g., abundance), yet error in the observation process might mask underlying changes due to imperfect detection, availability for sampling, and heterogeneity in abundance. Additional heterogeneity can be introduced into a monitoring program when male-based surveys are used as an index for the total population. Often, male-based surveys are used for lekking species, as males are conspicuous and more easily monitored when lekking than females. To determine if lek surveys capture changes or trends in population abundance based on female survival and reproduction, we developed a virtual ecologist approach using the lesser prairie-chicken (Tympanuchus pallidicinctus) as an example. Our approach used an individual-based model to simulate lek counts based on female vital rate data from lesser prairie-chickens, included models where detection probability and lek attendance were <1, and analyzed using unadjusted counts and an N-mixture model to compare estimates of population abundance and growth rates. When lek attendance rates were <1, the estimate of abundance was biased low, even when using N-mixture models to account for detection probability. Additionally, using lek counts to estimate population growth rates without accounting for detection probability consistently overestimated population growth rates, indicating a stable population when the population was decreasing. Our results therefore suggest that lek-based surveys used without accounting for lek attendance and detection probability may miss important trends in population changes. Rather than population-level inference, lek-based surveys not accounting for lek attendance and detection probability may instead be better for inferring broad-scale range shifts of lesser prairie-chicken populations in a presence/absence framework.","language":"English","publisher":"PLoS","doi":"10.1371/journal.pone.0217172","usgsCitation":"Ross, B., Sullins, D.S., and Haukos, D.A., 2019, Using an individual-based model to assess common biases in lek-based count data to estimate population trajectories of lesser prairie-chickens: PLoS ONE, 0217172, 17 p., https://doi.org/10.1371/journal.pone.0217172.","productDescription":"0217172, 17 p.","ipdsId":"IP-098683","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":467613,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1371/journal.pone.0217172","text":"Publisher Index Page"},{"id":395719,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationDate":"2019-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Ross, Beth 0000-0001-5634-4951 bross@usgs.gov","orcid":"https://orcid.org/0000-0001-5634-4951","contributorId":199242,"corporation":false,"usgs":true,"family":"Ross","given":"Beth","email":"bross@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":833920,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Sullins, Daniel S.","contributorId":275280,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[{"id":12661,"text":"Kansas State University","active":true,"usgs":false}],"preferred":false,"id":833921,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":833922,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70204595,"text":"70204595 - 2019 - Volcano deformation: Insights into magmatic systems","interactions":[],"lastModifiedDate":"2019-08-07T09:07:01","indexId":"70204595","displayToPublicDate":"2019-05-17T12:29:25","publicationYear":"2019","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Volcano deformation: Insights into magmatic systems","docAbstract":"Volcano geodesy is the branch of geodetic science that deals with the changing shapes of volcanoes, whether large or small, deep-seated or surficial. Together with seismicity and volcanic gas flux, deformation of the ground surface can be a key indicator of subsurface conditions and processes at volcanoes—information that not only improves scientific understanding of magmatic systems but also is useful for assessing volcano hazards and mitigating their potential consequences. To take full advantage of such information requires detailed characterization of the deformation field in space and time. Currently, no single geodetic technique is capable of providing both the high spatial and temporal resolution required. However, important advances have been made recently by combining information from real-time in situ sensors such as continuous GPS, strainmeters, and tiltmeters with repeated campaign-style GPS, microgravity, interferometric synthetic aperture radar (InSAR), lidar, and photogrammetric observations. Continuous real-time data constrain the timing but not necessarily the spatial extent and pattern of deformation, whereas InSAR provides detailed spatial information but only at intervals of several days to weeks. Repeated microgravity surveys, when combined with independent measurements of surface height, are uniquely sensitive to changes in subsurface mass distribution and therefore can be used to distinguish among processes driven by magma, hydrous fluids, or gas. Simultaneous analysis of multiple geodetic datasets, especially when guided by information from global volcano databases and numerical simulations of volcanic processes and products, can provide a statistical basis for outcome prediction and serve as a guide for additional observations. In the foreseeable future, interactions among magmatic, tectonic, and hydrothermal systems will be monitored and modeled at regional scale in real time, enabling new insights into Earth’s subsurface environment.","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of Complexity and Systems Science","largerWorkSubtype":{"id":13,"text":"Handbook"},"language":"English","publisher":"Springer","doi":"10.1007/978-3-642-27737-5_635-1","usgsCitation":"Dzurisin, D., 2019, Volcano deformation: Insights into magmatic systems, chap. of Encyclopedia of Complexity and Systems Science, 15 p., https://doi.org/10.1007/978-3-642-27737-5_635-1.","productDescription":"15 p.","ipdsId":"IP-063922","costCenters":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":366311,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationDate":"2019-05-17","publicationStatus":"PW","contributors":{"authors":[{"text":"Dzurisin, Daniel 0000-0002-0138-5067 dzurisin@usgs.gov","orcid":"https://orcid.org/0000-0002-0138-5067","contributorId":217868,"corporation":false,"usgs":true,"family":"Dzurisin","given":"Daniel","email":"dzurisin@usgs.gov","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":767707,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70208396,"text":"70208396 - 2019 - Application of electron microscopy TEM and SEM for analysis of coals, organic-rich shales and carbonaceous matter","interactions":[],"lastModifiedDate":"2020-02-10T06:19:09","indexId":"70208396","displayToPublicDate":"2019-05-17T12:18:27","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2033,"text":"International Journal of Coal Geology","active":true,"publicationSubtype":{"id":10}},"title":"Application of electron microscopy TEM and SEM for analysis of coals, organic-rich shales and carbonaceous matter","docAbstract":"This paper provides a brief summary of the history, development and variety of applications of electron microscopy\ntechniques to analyze coals, organic-rich shales, and carbonaceous materials. General construction and principles of\noperation of transmitted (TEM) and scanning electron microscope (SEM) are outlined, along with guidance on\nspecimen preparation, and a brief overview of published TEM and SEM applications related to coal, shales, and\ncarbonaceous materials. This work was accepted as the chapter 18.2 of International Committee for Coal and Organic\nPetrology Methods Handbook at the ICCP Plenary Session on September 27, 2018 in Brisbane (Australia).","language":"English","publisher":"Elsevier","doi":"10.1016/j.coal.2019.05.010","usgsCitation":"Kwiecinska, B., Valentine, B.J., and Pusz, S., 2019, Application of electron microscopy TEM and SEM for analysis of coals, organic-rich shales and carbonaceous matter: International Journal of Coal Geology, v. 211, 103203, 13 p., https://doi.org/10.1016/j.coal.2019.05.010.","productDescription":"103203, 13 p.","ipdsId":"IP-081547","costCenters":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":372169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"211","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Kwiecinska, B.","contributorId":174251,"corporation":false,"usgs":false,"family":"Kwiecinska","given":"B.","email":"","affiliations":[],"preferred":false,"id":781873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Valentine, Brett J. 0000-0002-8678-2431 bvalentine@usgs.gov","orcid":"https://orcid.org/0000-0002-8678-2431","contributorId":3846,"corporation":false,"usgs":true,"family":"Valentine","given":"Brett","email":"bvalentine@usgs.gov","middleInitial":"J.","affiliations":[{"id":241,"text":"Eastern Energy Resources Science Center","active":true,"usgs":true},{"id":255,"text":"Energy Resources Program","active":true,"usgs":true}],"preferred":true,"id":781720,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Pusz, S.","contributorId":174253,"corporation":false,"usgs":false,"family":"Pusz","given":"S.","email":"","affiliations":[],"preferred":false,"id":781872,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70203444,"text":"ofr20191058 - 2019 - Movements of juvenile Pacific Lamprey (Entosphenus tridentatus) in the Yakima and Columbia Rivers, Washington, 2018—A pilot study using acoustic telemetry","interactions":[],"lastModifiedDate":"2019-05-22T09:26:20","indexId":"ofr20191058","displayToPublicDate":"2019-05-17T09:18:42","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2019-1058","displayTitle":"Movements of Juvenile Pacific Lamprey (Entosphenus tridentatus) in the Yakima and Columbia Rivers, Washington, 2018—A Pilot Study Using Acoustic Telemetry","title":"Movements of juvenile Pacific Lamprey (Entosphenus tridentatus) in the Yakima and Columbia Rivers, Washington, 2018—A pilot study using acoustic telemetry","docAbstract":"Telemetry has been an invaluable tool to improve our understanding of adult Pacific Lamprey (Entosphenus tridentatus) movements and to guide management approaches to protect and restore this species of concern. Juvenile and larval lamprey, however, are much smaller than adults, and have not been monitored with telemetry because available transmitters have traditionally been too large. With funding from the U.S. Department of Energy and the U.S. Army Corps of Engineers, the Pacific Northwest National Laboratory developed a prototype micro-transmitter of appropriate size for use in small fish such as juvenile lampreys and eels. Through a collaborative research approach, we used these prototype transmitters to do a pilot level evaluation of juvenile lamprey (macrophthalmia) movements in the Yakima and Columbia Rivers in 2018. Our project monitored tagged lamprey using acoustic monitoring arrays installed and maintained for juvenile salmon (Oncorhynchus spp.) migration studies done by our partners. The study was done in the lower Yakima River, Washington, from river mile 111 to the river mouth, and in the Columbia River, from the Yakima River mouth to Camas, Washington, downstream of Bonneville Dam. We released four groups of tagged lamprey from May 9 to 15, 2018. Two groups were released at the upper site (located at the State Route 24 bridge, about 4.5 river miles upstream of Wapato Dam), and two groups were released at the lower site (about 1.7 miles upstream of the Yakima River mouth). We detected 95.6 percent of the tagged lamprey, with more individuals detected in the Columbia River than in the Yakima River. Lamprey arrived at Bonneville Dam in an average of 8.0–9.6 days from the upper site (300 river miles) and in an average of 6.5 days from the lower site (193 river miles). Lamprey moved through the study area at an average rate of 30–35 miles per day and generally remained at each detection site for less than about 20 minutes. Most lamprey (63 percent) arrived at detection sites during periods of darkness, but some travel occurred during daylight and transitional light periods.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191058","collaboration":"Prepared in cooperation with Yakama Nation Fisheries, Pacific Northwest National Laboratory, McNary Fisheries Compensation Committee, and the Bureau of Reclamation","usgsCitation":"Liedtke , T.L., Lampman, R.T., Deng, D.Z., Beals, T.E., Porter, M.S., Hansen, A.C., Kock, T.J., Tomka, R.G., and Monk, P., 2019, Movements of juvenile Pacific Lamprey (Entosphenus tridentatus) in the Yakima and Columbia Rivers, Washington, 2018—A pilot study using acoustic telemetry: U.S. Geological Survey Open-File Report 2019-1058, 29 p., https://doi.org/10.3133/ofr20191058.","productDescription":"vi, 29 p.","numberOfPages":"40","onlineOnly":"Y","ipdsId":"IP-107087","costCenters":[{"id":654,"text":"Western Fisheries Research 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\"}}]}","contact":"Director, Western Fisheries Research Center
U.S. Geological Survey
6505 NE 65th Street
Seattle, Washington 98115-5016
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 1.4 billion barrels of shale oil and 26.9 trillion cubic feet of shale gas in Paleozoic formations in the Tarim Basin of China.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193011","usgsCitation":"Potter, C.J., Schenk, C.J., Mercier, T.J., Tennyson, M.E., Finn, T.M., Woodall, C.A., Leathers-Miller, H.M., Marra, K.R., Le, P.A., Drake, R.M., II, Brownfield, M.E., and Pitman, J.K., 2019, Assessment of Paleozoic shale-oil and shale-gas resources in the Tarim Basin of China: U.S. Geological Survey Fact Sheet 2019–3011, 4 p., https://doi.org/10.3133/fs20193011.\n","productDescription":"4 p.","onlineOnly":"N","ipdsId":"IP-102502","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":363652,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3011/coverthb.jpg"},{"id":363653,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3011/fs20193011.pdf","text":"Report","size":"956 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3011"}],"country":"China","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 76,\n 36\n ],\n [\n 92,\n 36\n ],\n [\n 92,\n 44\n ],\n [\n 76,\n 44\n ],\n [\n 76,\n 36\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
California faces unprecedented challenges presented by shifting weather patterns that are defining a “new normal.” The result has been extreme weather events, prolonged drought, flooding, and debris flows. These conditions drive severe tree mortality, increase wildfire occurrence and intensity, reduce water availability, and hasten subsidence in groundwater basins. Collectively, these challenges threaten public safety, compromise infrastructure, and adversely impact the economic well-being of California's citizens. Critical applications that address these issues depend on light detection and ranging (lidar) data that provide a highly detailed, three-dimensional (3D) model of the Earth’s surface. The U.S. Geological Survey 3D Elevation Program works in partnership with Federal, State, Tribal, U.S. territorial, and local agencies to acquire consistent lidar coverage to meet the needs of California and the Nation.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193029","usgsCitation":"Ostergren, C.L., Decker, D., and Carswell, W.J., Jr., 2019, The 3D Elevation Program—Supporting California's economy (ver. 1.1, June 2019): U.S. Geological Survey Fact Sheet 2019-3029, 2 p., https://doi.org/10.3133/fs20193029.","productDescription":"2 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-098982","costCenters":[{"id":423,"text":"National Geospatial Program","active":true,"usgs":true}],"links":[{"id":363771,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3029/coverthb2.jpg"},{"id":364890,"rank":3,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/fs/2019/3029/versionHist.txt","linkFileType":{"id":2,"text":"txt"}},{"id":363772,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3029/fs20193029.pdf","text":"Report","size":"643 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\"}}]}","edition":"Version 1.1; Revised June 24, 2019","contact":"Director, National Geospatial Program
U.S. Geological Survey, MS 511
12201 Sunrise Valley Drive
Reston, VA 20192
3D Elevation Program
Email: 3DEP@usgs.gov
Using a geology-based assessment methodology, the U.S. Geological Survey estimated undiscovered, technically recoverable mean resources of 1.3 billion barrels of oil and 63 trillion cubic feet of gas in the Reggane Basin Province of Algeria.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs20193016","usgsCitation":"Schenk, C.J., Brownfield, M.E., Mercier, T.J., Woodall, C.A., Le, P.A., Tennyson, M.E., Finn, T.M., Marra, K.R., Gaswirth, S.B., Leathers-Miller, H.M., Pitman, J.K., and Drake, R.M., II, 2019, Assessment of undiscovered oil and gas resources of the Reggane Basin Province, Algeria, 2018: U.S. Geological Survey Fact Sheet 2019–3016, 2 p., https://doi.org/10.3133/fs20193016. ","productDescription":"2 p.","onlineOnly":"N","ipdsId":"IP-103080","costCenters":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"links":[{"id":363800,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/2019/3016/coverthb.jpg"},{"id":363801,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/2019/3016/fs20193016.pdf","text":"Report","size":"608 kB","linkFileType":{"id":1,"text":"pdf"},"description":"FS 2019-3016"}],"country":"Algeria","otherGeospatial":"Reggane Basin Province","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[11.99951,23.47167],[8.57289,21.56566],[5.67757,19.60121],[4.26742,19.15527],[3.15813,19.05736],[3.14666,19.69358],[2.68359,19.85623],[2.06099,20.14223],[1.82323,20.61081],[-1.55005,22.79267],[-4.92334,24.97457],[-8.6844,27.39574],[-8.66512,27.58948],[-8.66559,27.65643],[-8.67412,28.84129],[-7.05923,29.57923],[-6.06063,29.7317],[-5.24213,30.00044],[-4.85965,30.50119],[-3.69044,30.89695],[-3.6475,31.63729],[-3.06898,31.7245],[-2.6166,32.09435],[-1.3079,32.26289],[-1.12455,32.65152],[-1.38805,32.86402],[-1.73345,33.91971],[-1.79299,34.52792],[-2.16991,35.1684],[-1.2086,35.71485],[-0.12745,35.88866],[0.50388,36.30127],[1.46692,36.60565],[3.1617,36.7839],[4.81576,36.86504],[5.32012,36.71652],[6.26182,37.11066],[7.33038,37.11838],[7.73708,36.88571],[8.42096,36.94643],[8.21782,36.43318],[8.37637,35.47988],[8.14098,34.65515],[7.52448,34.09738],[7.61264,33.34411],[8.43047,32.74834],[8.4391,32.50628],[9.0556,32.10269],[9.48214,30.30756],[9.80563,29.42464],[9.86,28.95999],[9.68388,28.14417],[9.75613,27.68826],[9.62906,27.14095],[9.71629,26.51221],[9.31941,26.09432],[9.91069,25.36545],[9.94826,24.93695],[10.30385,24.37931],[10.77136,24.56253],[11.56067,24.09791],[11.99951,23.47167]]]},\"properties\":{\"name\":\"Algeria\"}}]}","contact":"Director, Central Energy Resources Science Center
U.S. Geological Survey
Box 25046, MS-939
Denver, CO 80225-0046
This report presents revised results for four parameters reported for suspended-sediment samples that were collected in the lower Mississippi-Atchafalaya River Basin as part of a cooperative program between the U.S. Army Corps of Engineers, Mississippi Valley Division, New Orleans District and the U.S. Geological Survey (USGS). The cooperative program has been active since 1973 at seven sites: two sites on the main stem of the Mississippi River, three sites on the Atchafalaya River, one site on the Old River Outflow Channel, and one site on the lower Red River above the confluence with the Old River Outflow Channel. The four parameters—suspended-sediment concentration, percent by mass of the sediment that passes through a 0.063-millimeter (US 230) sieve, instantaneous stream discharge, and instantaneous suspended-sediment discharge—reported for 2,895 samples have been modified to reflect the findings of a full review of the cooperative program, which was initiated by both agencies in January 2015. The revised results are for samples collected from October 1989 through February 2015. Ninety-four percent of the revised values for suspended-sediment concentration are lower than their corresponding original reported values, indicating that less suspended sediment moves through the lower Mississippi River system than was previously reported. For example, the median revised instantaneous suspended-sediment discharge at the Mississippi River at Tarbert Landing, Miss. (USGS station 07295100), was 315,000 short tons per day, compared to 378,000 short tons per day as originally reported. At the Atchafalaya River at Simmesport, La. (USGS station 07381490), the median revised suspended-sediment discharge was 105,000 short tons per day, compared to 143,000 short tons per day as originally reported. The systematic downward revision in instantaneous suspended-sediment discharge values was due to a systematic downward revision in the suspended fine (less than 0.063 millimeter) sediment concentration. The effect of the revision on the suspended-sand concentration and instantaneous suspended-sand discharge was weaker. Any model of sediment load or transport processes in the basin that uses data from the affected samples should be reevaluated on the basis of the revised results.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20185147","collaboration":"Prepared in cooperation with the U.S. Army Corps of Engineers, New Orleans District","usgsCitation":"Norton, K.K., Olsen, L.D., Baumann, T.E., Simmons, L.B., Clark, A.P., Demcheck, D.K., and Johnson, M., 2019, Revisions to suspended-sediment concentration, percent smaller than 0.063 millimeter, and instantaneous suspended-sediment discharge reported for a cooperative program between the U.S. Geological Survey and the U.S. Army Corps of Engineers in the lower Mississippi-Atchafalaya River Basin, October 1989 to February 2015: U.S. Geological Survey Scientific Investigations Report 2018–5147, 232 p., https://doi.org/10.3133/sir20185147.","productDescription":"Report: x, 232 p.; Data Release","numberOfPages":"246","onlineOnly":"N","ipdsId":"IP-088529","costCenters":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"links":[{"id":363738,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2018/5147/coverthb.jpg"},{"id":363739,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2018/5147/sir20185147.pdf","text":"Report","size":"7.47 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2018–5147"},{"id":363740,"rank":3,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7K936GW","text":"USGS data release","description":"USGS Data Release","linkHelpText":"Revised Data and Supporting Information for Seven Sites located on the Lower Mississippi and Atchafalaya Rivers sampled as part of a cooperative sediment program with the U.S. Army Corps of Engineers, October 1989 through February 2015"}],"country":"United States","otherGeospatial":"Lower Mississippi basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -91.830936,29.164113 ], [ -91.830936,32.428085 ], [ -89.918735,32.428085 ], [ -89.918735,29.164113 ], [ -91.830936,29.164113 ] ] ] } } ] }","contact":"Director, Lower Mississippi-Gulf Water Science Center
U.S. Geological Survey
640 Grassmere Park Drive
Nashville, TN 37211
The Alaska Volcano Observatory (AVO) has maintained an earthquake catalog since 1989 that now contains over 120,000 hypocenters and magnitudes that occurred near Alaskan volcanoes. Since 1989 the seismic instrumentation and data acquisition and processing techniques have undergone numerous changes as computer systems and seismic processing software have advanced and evolved. In this report we recalculate earthquake hypocenters and magnitudes in a consistent manner between October 1989 and January 2018. The new hypocenters and magnitudes are archived at the AVO within an AQMS database and in the compressed UNIX tar file that accompanies this publication.
Contact Information,
Volcano Science Center
U.S. Geological Survey
4210 University Drive
Anchorage, AK 99508
Using data from six wild Mojave Desert Tortoise (Gopherus agassizii (Cooper, 1861)) populations, we quantified seasonal differences in immune system measurements and microbial load in the respiratory tract, pertinent to this species’ susceptibility to upper respiratory tract disease. We quantified bacteria-killing activity of blood plasma and differential leukocyte counts to detect trends in temporal variation in immune function. We used centered log-ratio (clr) transformations of leukocyte counts and stress that such transformations are necessary for compositional data. We tested animals for the potential pathogen Pasteurella testudinis Snipes and Biberstein, 1982 with a newly created quantitative polymerase chain reaction (qPCR) assay, as well as for the known respiratory pathogens Mycoplasma agassizii Brown et al., 2001 and Mycoplasma testudineum Brown et al., 2004. We found very little disease and suggest that P. testudinis is a prevalent, commensal microbe in these Mojave Desert Tortoise populations, and its quantification may be a tool to study natural fluctuations in microbe levels in Mojave Desert Tortoise respiratory tracts. Our analyses showed that both the potential for inflammatory responses and microbe levels are highest in the spring for healthy Mojave Desert Tortoises, when lymphocyte levels are lowest. The genetic and statistical tools that we used are easily applicable to other wildlife systems and provide the necessary data to quantify species-wide trends in health and test hypotheses pertinent to host–microbe dynamics.
","language":"English","publisher":"Canadian Science Publishing","doi":"10.1139/cjz-2018-0255","usgsCitation":"Sandmeier, F.C., Leonard, K.L., Tracy, C., Drake, K.K., Esque, T., Nussear, K.E., and Germano, J., 2019, Tools to understand seasonality in health: quantification of microbe loads and analyses of compositional ecoimmunological data reveal complex patterns in Mojave Desert Tortoise (Gopherus agassizii) populations: Canadian Journal of Zoology, v. 97, no. 9, p. 841-848, https://doi.org/10.1139/cjz-2018-0255.","productDescription":"8 p.","startPage":"841","endPage":"848","ipdsId":"IP-107373","costCenters":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"links":[{"id":501004,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"http://hdl.handle.net/1807/96565","text":"External Repository"},{"id":380189,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"97","issue":"9","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Sandmeier, F. C.","contributorId":244500,"corporation":false,"usgs":false,"family":"Sandmeier","given":"F.","email":"","middleInitial":"C.","affiliations":[{"id":48921,"text":"Colorado State University-Pueblo","active":true,"usgs":false}],"preferred":false,"id":804067,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Leonard, K. L.","contributorId":244501,"corporation":false,"usgs":false,"family":"Leonard","given":"K.","email":"","middleInitial":"L.","affiliations":[{"id":48921,"text":"Colorado State University-Pueblo","active":true,"usgs":false}],"preferred":false,"id":804068,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tracy, C. R.","contributorId":244502,"corporation":false,"usgs":false,"family":"Tracy","given":"C. R.","affiliations":[{"id":48922,"text":"University of Nevado, Reno","active":true,"usgs":false}],"preferred":false,"id":804069,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Drake, K. Kristina 0000-0003-0711-7634 kdrake@usgs.gov","orcid":"https://orcid.org/0000-0003-0711-7634","contributorId":3799,"corporation":false,"usgs":true,"family":"Drake","given":"K.","email":"kdrake@usgs.gov","middleInitial":"Kristina","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":804070,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Esque, Todd 0000-0002-4166-6234 tesque@usgs.gov","orcid":"https://orcid.org/0000-0002-4166-6234","contributorId":195896,"corporation":false,"usgs":true,"family":"Esque","given":"Todd","email":"tesque@usgs.gov","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":804071,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nussear, K. E.","contributorId":204375,"corporation":false,"usgs":false,"family":"Nussear","given":"K.","email":"","middleInitial":"E.","affiliations":[{"id":36924,"text":"Univerisity of Nevada, Reno","active":true,"usgs":false}],"preferred":false,"id":804072,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Germano, J","contributorId":244503,"corporation":false,"usgs":false,"family":"Germano","given":"J","email":"","affiliations":[{"id":38703,"text":"New Zealand Department of Conservation","active":true,"usgs":false}],"preferred":false,"id":804073,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70210266,"text":"70210266 - 2019 - Sampling the volatile-rich transition zone beneath Bermuda","interactions":[],"lastModifiedDate":"2020-05-27T13:47:43.535415","indexId":"70210266","displayToPublicDate":"2019-05-15T08:39:39","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2840,"text":"Nature","active":true,"publicationSubtype":{"id":10}},"title":"Sampling the volatile-rich transition zone beneath Bermuda","docAbstract":"Intraplate magmatic provinces found away from active plate boundaries, provide direct sampling of the Earth’s mantle composition and heterogeneity. Observed chemical heterogeneities in the mantle are commonly attributed to recycling during subduction1-3, which allows for the addition of volatiles and incompatible elements into the mantle. Although many intraplate volcanoes sample deep mantle reservoirs, possibly at the core-mantle boundary4,5, not all intraplate volcanoes are deep rooted6 and reservoirs in other shallower boundary layers likely participate in magma generation. Here we present new evidence that suggests that Bermuda sampled a previously unknown mantle domain, characterized by silica under-saturated melts that have significant enrichments in incompatible elements and volatiles, and a unique, extreme isotopic signature. Bermuda records the most radiogenic 206Pb/204Pb isotopes ever documented in an ocean basin (19.9-21.7), coupled with low 207Pb/204Pb (15.5-15.6) and relatively invariant Sr, Nd, and Hf isotopes, suggesting that this source must be <650 Ma. We interpret the Bermuda source as a new, transient mantle reservoir that resulted from recycling and storage of incompatible elements and volatiles7-10 in the transition zone, aided by the fractionation of Pb by minerals that are only stable in this boundary layer such as K-Hollandite11-12. Recent recycling and storage of material into the transition zone suggests that this reservoir can only be found in the Atlantic Ocean. Our geodynamic models suggest that this layer was sampled by disturbances related to mantle flow. Seismic studies have shown that recycled materials can be stored in the transition zone13. For the first time we show geochemical evidence that this storage is key in the generation of extreme isotopic domains previously thought to be related only to deep recycling.","language":"English","publisher":"Nature","doi":"10.1038/s41586-019-1183-6","usgsCitation":"Mazza, S.E., Gazel, E., Bizmis, M., Moucha, R., Beguelin, P., Johnson, E.A., McAleer, R.J., and Sobolev, A., 2019, Sampling the volatile-rich transition zone beneath Bermuda: Nature, v. 569, p. 398-403, https://doi.org/10.1038/s41586-019-1183-6.","productDescription":"6 p.","startPage":"398","endPage":"403","ipdsId":"IP-102271","costCenters":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true}],"links":[{"id":375070,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"otherGeospatial":"Bermuda","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.673828125,\n 21.69826549685252\n ],\n [\n -59.94140624999999,\n 21.69826549685252\n ],\n [\n -59.94140624999999,\n 35.817813158696616\n ],\n [\n -75.673828125,\n 35.817813158696616\n ],\n [\n -75.673828125,\n 21.69826549685252\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"569","noUsgsAuthors":false,"publicationDate":"2019-05-15","publicationStatus":"PW","contributors":{"authors":[{"text":"Mazza, Sarah E. 0000-0001-8091-1186","orcid":"https://orcid.org/0000-0001-8091-1186","contributorId":198664,"corporation":false,"usgs":false,"family":"Mazza","given":"Sarah","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":789847,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gazel, Esteban","contributorId":192876,"corporation":false,"usgs":false,"family":"Gazel","given":"Esteban","email":"","affiliations":[],"preferred":false,"id":789848,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bizmis, Michael 0000-0002-4611-6928","orcid":"https://orcid.org/0000-0002-4611-6928","contributorId":198666,"corporation":false,"usgs":false,"family":"Bizmis","given":"Michael","email":"","affiliations":[],"preferred":false,"id":789849,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Moucha, Robert","contributorId":173102,"corporation":false,"usgs":false,"family":"Moucha","given":"Robert","email":"","affiliations":[{"id":5082,"text":"Syracuse University","active":true,"usgs":false}],"preferred":false,"id":789850,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beguelin, Paul 0000-0002-1525-2994","orcid":"https://orcid.org/0000-0002-1525-2994","contributorId":224977,"corporation":false,"usgs":false,"family":"Beguelin","given":"Paul","email":"","affiliations":[{"id":37804,"text":"University of South Carolina","active":true,"usgs":false}],"preferred":false,"id":789851,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Johnson, Elizabeth A. 0000-0001-7244-6122","orcid":"https://orcid.org/0000-0001-7244-6122","contributorId":198665,"corporation":false,"usgs":false,"family":"Johnson","given":"Elizabeth","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":789852,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"McAleer, Ryan J. 0000-0003-3801-7441 rmcaleer@usgs.gov","orcid":"https://orcid.org/0000-0003-3801-7441","contributorId":215498,"corporation":false,"usgs":true,"family":"McAleer","given":"Ryan","email":"rmcaleer@usgs.gov","middleInitial":"J.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":789853,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sobolev, Alexander 0000-0002-1997-2032","orcid":"https://orcid.org/0000-0002-1997-2032","contributorId":224978,"corporation":false,"usgs":false,"family":"Sobolev","given":"Alexander","email":"","affiliations":[{"id":41013,"text":"Vernadsky Institute, Russian Academy of Sciences","active":true,"usgs":false}],"preferred":false,"id":789854,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70187345,"text":"pp1824G - 2019 - Geology and assessment of undiscovered oil and gas resources of the Northwest Canada Interior Basins Province, Arctic Canada","interactions":[{"subject":{"id":70187345,"text":"pp1824G - 2019 - Geology and assessment of undiscovered oil and gas resources of the Northwest Canada Interior Basins Province, Arctic Canada","indexId":"pp1824G","publicationYear":"2019","noYear":false,"chapter":"G","displayTitle":"Geology and Assessment of Undiscovered Oil and Gas Resources of the Northwest Canada Interior Basins Province, Arctic Canada, 2008","title":"Geology and assessment of undiscovered oil and gas resources of the Northwest Canada Interior Basins Province, Arctic Canada"},"predicate":"IS_PART_OF","object":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"id":1}],"isPartOf":{"id":70193865,"text":"pp1824 - 2017 - The 2008 Circum-Arctic Resource Appraisal ","indexId":"pp1824","publicationYear":"2017","noYear":false,"title":"The 2008 Circum-Arctic Resource Appraisal "},"lastModifiedDate":"2024-06-26T14:19:47.208944","indexId":"pp1824G","displayToPublicDate":"2019-05-15T08:24:32","publicationYear":"2019","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":331,"text":"Professional Paper","code":"PP","onlineIssn":"2330-7102","printIssn":"1044-9612","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"1824","chapter":"G","displayTitle":"Geology and Assessment of Undiscovered Oil and Gas Resources of the Northwest Canada Interior Basins Province, Arctic Canada, 2008","title":"Geology and assessment of undiscovered oil and gas resources of the Northwest Canada Interior Basins Province, Arctic Canada","docAbstract":"The Northwest Canada Interior Basins Province is bounded by the Mackenzie and Richardson Mountains on the southwest and west, by the Eskimo Lakes Arch on the northwest, and by the erosional limit of Paleozoic strata on the east. It lies within the far northwest part of the Paleozoic continent of Laurentia. During early Paleozoic time, it was part of a passive margin formed when the Neoproterozoic supercontinent Rodinia broke apart. A Cambrian marine transgressive sequence gave way to an evaporitic intrashelf basin, succeeded by a westward-building carbonate bank from Late Cambrian through Middle Devonian time. In Late Devonian and early Carboniferous time, the region was buried by a thick succession of south-prograding clastic strata derived from orogenic belts to the northeast and north. A subsequent period of inactivity and erosion persisted until sedimentation resumed as the opening of the Canada Basin initiated an Early Cretaceous marine transgression over much of the region. Later in Cretaceous time, clastic strata derived from Cordilleran uplifts to the southwest began to prograde north, ending with eventual Laramide uplift and deformation in latest Cretaceous and Paleogene time.
Two petroleum systems are known within the province. A petroleum system in Cambrian to Middle Devonian strata, sourced by alginitic Cambrian shales and sealed by Cambrian evaporites, is proven by modest gas discoveries in the Colville Hills; generation is attributed to burial under the Upper Devonian clastic wedge. An Upper Devonian petroleum system, proven by the presence of the 250-million-barrel Norman Wells field at the southern edge of the province, was sourced by organic-rich shale of the Canol Formation. Generation is similarly inferred to have been driven by burial beneath the Devonian clastic wedge, perhaps augmented locally by additional Cretaceous burial. Potential reservoirs include Devonian reefs and sandstones stratigraphically below and laterally equivalent to the source rocks, as well as overlying sandstones in the clastic wedge. Subordinate source rocks could include organic-rich shales within the clastic wedge.
Principal risks to the lower Paleozoic petroleum system include (1) inadequate reservoir volume for a field of the minimum size and (2) petroleum loss by remigration caused by Laramide deformation. One lower Paleozoic assessment unit (AU) was quantitatively assessed, with estimated resources of 0 to 117 million barrels of oil (MMBO), mean 23 MMBO; and 0 to 1,364 billion cubic feet of gas (BCFG), mean 310 BCFG. The principle risks to the Devonian petroleum system were considered to be (1) lack of preservation due to extensive erosion before the Cretaceous, and (2) inadequate reservoir volume, because the best potential reservoir strata, Devonian reefs, may be absent throughout most of the province owing to either lack of deposition or erosion. These risks were sufficiently high that the single AU defined in the Devonian petroleum system was not quantitatively assessed, because the chance of a field of the minimum size, 50 million barrels of oil equivalent, was estimated to be only 0.1.
Contact Information, Geology, Minerals, Energy, & Geophysics Science Center—Menlo Park
U.S. Geological Survey
345 Middlefield Road
Menlo Park, CA 94025-3591
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This chapter discusses the role of seed-vectored microbes in modulating seedling development and increasing fitness of plants in terms of increased biotic and abiotic stress tolerance.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":" Seed endophytes: Biology and biotechnology.","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer ","doi":"10.1007/978-3-030-10504-4","usgsCitation":"White, J.F., Kingsley, K.L., Butterworth, S., Brindisi, L., Gatei, J.W., Elmore, M.T., Verma, S.K., Yao, X., and Kowalski, K., 2019, Seed-vectored microbes: Their roles in improving seedling fitness and competitor plant suppression, chap. of Seed endophytes: Biology and biotechnology., p. 3-20, https://doi.org/10.1007/978-3-030-10504-4.","productDescription":"18 p.","startPage":"3","endPage":"20","ipdsId":"IP-101008","costCenters":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"links":[{"id":363810,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"White, James F.","contributorId":214321,"corporation":false,"usgs":false,"family":"White","given":"James","email":"","middleInitial":"F.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":759630,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kingsley, Kathryn L.","contributorId":203176,"corporation":false,"usgs":false,"family":"Kingsley","given":"Kathryn","email":"","middleInitial":"L.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":759631,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butterworth, Susan","contributorId":214322,"corporation":false,"usgs":false,"family":"Butterworth","given":"Susan","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":759632,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Brindisi, Lara","contributorId":214323,"corporation":false,"usgs":false,"family":"Brindisi","given":"Lara","email":"","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":759633,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Gatei, Judy W","contributorId":214324,"corporation":false,"usgs":false,"family":"Gatei","given":"Judy","email":"","middleInitial":"W","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":759634,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Elmore, Matthew T.","contributorId":206820,"corporation":false,"usgs":false,"family":"Elmore","given":"Matthew","email":"","middleInitial":"T.","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":759635,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Verma, Satish Kumar","contributorId":203175,"corporation":false,"usgs":false,"family":"Verma","given":"Satish","email":"","middleInitial":"Kumar","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":759636,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Yao, Xiang","contributorId":214325,"corporation":false,"usgs":false,"family":"Yao","given":"Xiang","email":"","affiliations":[{"id":39011,"text":"Lanzhou University","active":true,"usgs":false}],"preferred":false,"id":759637,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kowalski, Kurt P. 0000-0002-8424-4701 kkowalski@usgs.gov","orcid":"https://orcid.org/0000-0002-8424-4701","contributorId":3768,"corporation":false,"usgs":true,"family":"Kowalski","given":"Kurt P.","email":"kkowalski@usgs.gov","affiliations":[{"id":324,"text":"Great Lakes Science Center","active":true,"usgs":true}],"preferred":true,"id":759629,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70223346,"text":"70223346 - 2019 - Mechanisms underlying increased nest predation in natural gas fields: a test of the mesopredator release hypothesis","interactions":[],"lastModifiedDate":"2021-08-24T12:59:59.567114","indexId":"70223346","displayToPublicDate":"2019-05-15T07:58:03","publicationYear":"2019","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Mechanisms underlying increased nest predation in natural gas fields: a test of the mesopredator release hypothesis","docAbstract":"Anthropogenic activities are changing landscapes and the context in which predator–prey dynamics evolved, thereby altering key ecological processes and community structure. Yet, the specific mechanisms underlying such changes are rarely understood. We tested whether a mesopredator release explained increased rodent density and concomitant predation of songbird nests near natural gas development. From 2015 to 2016, we surveyed apex predators (coyotes, badgers, raptors, and corvids) and measured apparent survival and perceived predation risk of deer mice (Peromyscus maniculatus; a primary nest predator), at 12 plots spanning a gradient of surface disturbance caused by energy development in Wyoming, USA. Additionally, we measured densities of three nest predators: deer mice, least chipmunks (Tamias minimus), and thirteen-lined ground squirrels (Ictidomys tridecemlineatus). Contrary to the mesopredator release hypothesis, counts of apex predators and perceived predation risk of deer mice increased with surface disturbance from energy development, whereas apparent survival of mice decreased. Densities of mice and ground squirrels, however, increased with surface disturbance, despite increased predation pressure. We therefore rejected the mesopredator release hypothesis as a potential mechanism underlying altered trophic dynamics near energy development. Our results suggest that apex predator control measures would not benefit declining songbirds on natural gas fields. Rather, apex predator abundance may be regulated from the bottom-up by rodents in this system. Our results corroborate a pattern showing weakened effects of mesopredator release in habitats modified by humans. Understanding how predator–prey dynamics may be altered in novel environments requires an understanding of how predators and prey alike respond to habitat change under different contexts.
The primary mission of the U.S. Geological Survey (USGS) Water Mission Area is to collect and disseminate reliable, impartial, and timely information needed to understand the water resources of the Nation, including data on streamflow, groundwater, water quality, water use, and availability. Management of data throughout the entire data lifecycle is necessary to meet the mission and maintain the USGS reputation of producing high-quality data as the Nation’s primary earth-science information agency. This document describes the data management procedures of the USGS Washington Water Science Center, including responsibilities of staff and workflow procedures.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20191049","usgsCitation":"Conn, K.E., Mastin, M.C., Long, A.J., Dinicola, R.S., and Barton, C., 2019, Data management plan for the U.S. Geological Survey Washington Water Science Center : U.S. Geological Survey Open-File Report 2019-1049, 23 p., https://doi.org/10.3133/ofr20191049.","productDescription":"Report: iv, 23 p.","numberOfPages":"32","onlineOnly":"Y","ipdsId":"IP-104277","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":363807,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2019/1049/coverthb.jpg"},{"id":363808,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2019/1049/ofr20191049.pdf","text":"Report","size":"573 KB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2019-1049"}],"country":"United States","state":"Washington","contact":"Director, Washington Water Science Center
U.S. Geological Survey
934 Broadway, Suite 300
Tacoma, Washington 98402