268 resultados para Henne, Chad
Resumo:
This layer is a georeferenced raster image of the historic paper map entitled: A map of the Congo basin and adjoining territories : shewing the extent of the Congo Free State, Henry M. Stanley. It was published by Harper & Brothers in 1885. Scale [ca. 1:3,000,000]. This layer is image 1 of 2 total images of the two sheet source map, representing the western portion of the map. Covers a portion of Central Africa.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Africa Lambert Conformal Conic projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, shoreline features, and more. Relief shown by hachures and spot heights.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.
Resumo:
This layer is a georeferenced raster image of the historic paper map entitled: L'Afrique, ou Lybie ulterieure : ou sont le Saara, ou desert, le pays des Negres, la Guinee, et les pays circonv. tirée en partie de Sanut, et de l'Arabe de Nubie, en partie de diverses cartes veües jusques a present par le S. Sanson d'Abbeville, geog. ordre. du Roy ; I. Somer Pruthenus, sculp. It was published by Chez Pierre Mariette, rue St. Iacques a l'Esperance in 1655. Scale [ca. 1:10,500,000]. Covers portions of North and West Africa. Map in French.The image inside the map neatline is georeferenced to the surface of the earth and fit to the World Miller Cylindrical projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, territorial boundaries, shoreline features, and more. Relief shown pictorially.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.
Resumo:
This layer is a georeferenced raster image of the historic paper map entitled: Guinea propria : nec non Nigritiae vel terrae Nigrorum maxima pars : Geographis hodiernis dicta utraque Aethiopia Inferior, & huius quidem pars australis ex delineationibus Anvillianis itineri Guineensi D. de Marchais insertis secundum Leges proiectionis stereographicae Hasianae, designata & edita studio & labore Homannianorum Heredum A. 1743 = Guinée de meme que la plus grande parties du pais des Negres : appellées par les geographes modernes Ethiopie inferieure et meridionale, tirées des morceaux geographiques de Mr. d'Anville, qu'il a inseres au voyage du Chev. de Marchais, & puis dessinées suivant les loix de la nouvelle projection de feu Mr. le prof. Has, par les Heritiers d'Homan. A 1743. It was published by edita studio & labore Homannianorum Heredum ca. 1752. Scale [ca. 1:7,400,000]. Covers portions of West and Central Africa. Map in Latin.The image inside the map neatline is georeferenced to the surface of the earth and fit to the World Miller Cylindrical projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, territorial boundaries, shoreline features, and more. Relief shown pictorially. Includes also notes.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.
Resumo:
This layer is a georeferenced raster image of the historic paper map entitled: Charte von Nord-Africa : nach dem neuesten Entdeckungen. It was published in 1810. Scale [ca. 1:9,875,000]. Covers West & North Africa and a portion of Europe. Map in German.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Europe Lambert Conformal Conic coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, roads and routes, territorial boundaries, shoreline features, and more. Relief shown by hachures.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.
Resumo:
This layer is a georeferenced raster image of the historic paper map entitled: A map of the Nile, from the equatorial lakes to the Mediterranean : embracing the eastern Sûdan (Kordofan, Darfur &c.) and Abyssinia. It was published by E. Stanford in 1884. Scale [ca. 1:6,000,000). Covers the Nile River and Red Sea regions. The image inside the map neatline is georeferenced to the surface of the earth and fit to the Africa Sinusoidal projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, territorial boundaries, shoreline features, roads, railroads, exploration routes, and more. Relief shown by hachures. This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.
Resumo:
This layer is a georeferenced raster image of the historic paper map entitled: Nova Barbariae descriptio. It was published by Apud Ioannem Ianssonium in 1647. Scale [ca. 1:12,100,000]. Cover North & West Africa. Map in Latin.The image inside the map neatline is georeferenced to the surface of the earth and fit to the Africa Lambert Conformal Conic projected coordinate system. All map collar and inset information is also available as part of the raster image, including any inset maps, profiles, statistical tables, directories, text, illustrations, index maps, legends, or other information associated with the principal map. This map shows features such as drainage, cities and other human settlements, territorial boundaries, shoreline features, and more. Relief shown pictorially. Includes also notes.This layer is part of a selection of digitally scanned and georeferenced historic maps from the Harvard Map Collection. These maps typically portray both natural and manmade features. The selection represents a range of originators, ground condition dates, scales, and map purposes.
Resumo:
On 28 January 2008 the European Union launched the military operation EUFOR in Chad and the Central African Republic. Its mandate was to contribute to the security of the civilian population, the numerous refugees from neighboring Darfur and the local presence of the United Nations. This paper describes and analyses the planning process of this operation at the political-strategic and military-strategic levels with the aim of understanding how the military instrument was intended to generate the desired political effects. The paper argues that, from a military perspective, the EUFOR operation is based on the concept of humanitarian deterrence: the threat of military force is used to discourage potential spoilers from targeting the civilian population. As with any military operation, the planning of EUFOR was plagued by various elements of friction. At least some of this friction seems to flow from the mismatch in expectations between the political-strategic and military-strategic levels. The various political and military-technical constraints within which the operation was planned resulted in an operational posture that is less decisive than what the political ambitions would have suggested.
Resumo:
Intracellular schizonts of the apicomplexans Theileria annulata and Theileria parva immortalize bovine leucocytes thereby causing fatal immunoproliferative diseases. Buparvaquone, a hydroxynaphthoquinone related to parvaquone, is the only drug available against Theileria. The drug is only effective at the onset of infection and emerging resistance underlines the need for identifying alternative compounds. Current drug assays employ monitoring of proliferation of infected cells, with apoptosis of the infected host cell as a read-out, but it is often unclear whether active compounds directly impair the viability of the parasite or primarily induce host cell death. We here report on the development of a quantitative reverse transcriptase real time PCR method based on two Theileria genes, tasp and tap104, which are both expressed in schizonts. Upon in vitro treatment of T. annulata infected bovine monocytes with buparvaquone, TaSP and Tap104 mRNA expression levels significantly decreased in relation to host cell actin already within 4 h of drug exposure, while significant differences in host cell proliferation were detectable only after 48-72 h. TEM revealed marked alterations of the schizont ultrastructure already after 2 h of buparvaquone treatment, while the host cell remained unaffected. Expression of TaSP and Tap104 proteins showed a marked decrease only after 24 h. Therefore, the analysis of expression levels of mRNA coding for TaSP and Tap104 allows to directly measuring impairment of parasite viability. We subsequently applied this method using a series of compounds affecting different targets in other apicomplexan parasites, and show that monitoring of TaSP- and Tap104 mRNA levels constitutes a suitable tool for anti-theilerial drug development.
Resumo:
The understanding of the continental carbon budget is essential to predict future climate change. In order to quantify CO₂ and CH₄ fluxes at the regional scale, a measurement system was installed at the former radio tower in Beromünster as part of the Swiss greenhouse gas monitoring network (CarboCount CH). We have been measuring the mixing ratios of CO₂, CH₄ and CO on this tower with sample inlets at 12.5, 44.6, 71.5, 131.6 and 212.5 m above ground level using a cavity ring down spectroscopy (CRDS) analyzer. The first 2-year (December 2012–December 2014) continuous atmospheric record was analyzed for seasonal and diurnal variations and interspecies correlations. In addition, storage fluxes were calculated from the hourly profiles along the tower. The atmospheric growth rates from 2013 to 2014 determined from this 2-year data set were 1.78 ppm yr⁻¹, 9.66 ppb yr⁻¹ and and -1.27 ppb yr⁻¹ for CO₂, CH₄ and CO, respectively. After detrending, clear seasonal cycles were detected for CO₂ and CO, whereas CH₄ showed a stable baseline suggesting a net balance between sources and sinks over the course of the year. CO and CO₂ were strongly correlated (r² > 0.75) in winter (DJF), but almost uncorrelated in summer. In winter, anthropogenic emissions dominate the biospheric CO₂ fluxes and the variations in mixing ratios are large due to reduced vertical mixing. The diurnal variations of all species showed distinct cycles in spring and summer, with the lowest sampling level showing the most pronounced diurnal amplitudes. The storage flux estimates exhibited reasonable diurnal shapes for CO₂, but underestimated the strength of the surface sinks during daytime. This seems plausible, keeping in mind that we were only able to calculate the storage fluxes along the profile of the tower but not the flux into or out of this profile, since no Eddy covariance flux measurements were taken at the top of the tower.
Resumo:
We report ground-based atmospheric measurements and emission estimates for the halons H-1211 (CBrClF₂), H-1301 (CBrF₃), and H-2402 (CBrF₂CBrF₂) from the AGAGE (Advanced Global Atmospheric Gases Experiment) and the National Oceanic and Atmospheric Administration global networks. We also include results from archived air samples in canisters and from polar firn in both hemispheres, thereby deriving an atmospheric record of nearly nine decades (1930s to present). All three halons were absent from the atmosphere until ~1970, when their atmospheric burdens started to increase rapidly. In recent years H-1211 and H-2402 mole fractions have been declining, but H-1301 has continued to grow. High-frequency observations show continuing emissions of H-1211 and H-1301 near most AGAGE sites. For H-2402 the only emissions detected were derived from the region surrounding the Sea of Japan/East Sea. Based on our observations, we derive global emissions using two different inversion approaches. Emissions for H-1211 declined from a peak of 11 kt yr⁻¹ (late 1990s) to 3.9 kt yr⁻¹ at the end of our record (mean of 2013–2015), for H-1301 from 5.4 kt yr⁻¹ (late 1980s) to 1.6 kt yr⁻¹, and for H-2402 from 1.8 kt yr⁻¹ (late 1980s) to 0.38 kt yr⁻¹. Yearly summed halon emissions have decreased substantially; nevertheless, since 2000 they have accounted for ~30% of the emissions of all major anthropogenic ozone depletion substances, when weighted by ozone depletion potentials.
Validation of the Swiss methane emission inventory by atmospheric observations and inverse modelling
Resumo:
Atmospheric inverse modelling has the potential to provide observation-based estimates of greenhouse gas emissions at the country scale, thereby allowing for an independent validation of national emission inventories. Here, we present a regional-scale inverse modelling study to quantify the emissions of methane (CH₄) from Switzerland, making use of the newly established CarboCount-CH measurement network and a high-resolution Lagrangian transport model. In our reference inversion, prior emissions were taken from the "bottom-up" Swiss Greenhouse Gas Inventory (SGHGI) as published by the Swiss Federal Office for the Environment in 2014 for the year 2012. Overall we estimate national CH₄ emissions to be 196 ± 18 Gg yr⁻¹ for the year 2013 (1σ uncertainty). This result is in close agreement with the recently revised SGHGI estimate of 206 ± 33 Gg yr⁻¹ as reported in 2015 for the year 2012. Results from sensitivity inversions using alternative prior emissions, uncertainty covariance settings, large-scale background mole fractions, two different inverse algorithms (Bayesian and extended Kalman filter), and two different transport models confirm the robustness and independent character of our estimate. According to the latest SGHGI estimate the main CH₄ source categories in Switzerland are agriculture (78 %), waste handling (15 %) and natural gas distribution and combustion (6 %). The spatial distribution and seasonal variability of our posterior emissions suggest an overestimation of agricultural CH₄ emissions by 10 to 20 % in the most recent SGHGI, which is likely due to an overestimation of emissions from manure handling. Urban areas do not appear as emission hotspots in our posterior results, suggesting that leakages from natural gas distribution are only a minor source of CH₄ in Switzerland. This is consistent with rather low emissions of 8.4 Gg yr⁻¹ reported by the SGHGI but inconsistent with the much higher value of 32 Gg yr⁻¹ implied by the EDGARv4.2 inventory for this sector. Increased CH₄ emissions (up to 30 % compared to the prior) were deduced for the north-eastern parts of Switzerland. This feature was common to most sensitivity inversions, which is a strong indicator that it is a real feature and not an artefact of the transport model and the inversion system. However, it was not possible to assign an unambiguous source process to the region. The observations of the CarboCount-CH network provided invaluable and independent information for the validation of the national bottom-up inventory. Similar systems need to be sustained to provide independent monitoring of future climate agreements.
Resumo:
1Recent studies demonstrated the sensitivity of northern forest ecosystems to changes in the amount and duration of snow cover at annual to decadal time scales. However, the consequences of snowfall variability remain uncertain for ecological variables operating at longer time scales, especially the distributions of forest communities. 2The Great Lakes region of North America offers a unique setting to examine the long-term effects of variable snowfall on forest communities. Lake-effect snow produces a three-fold gradient in annual snowfall over tens of kilometres, and dramatic edaphic variations occur among landform types resulting from Quaternary glaciations. We tested the hypothesis that these factors interact to control the distributions of mesic (dominated by Acer saccharum, Tsuga canadensis and Fagus grandifolia) and xeric forests (dominated by Pinus and Quercus spp.) in northern Lower Michigan. 3We compiled pre-European-settlement vegetation data and overlaid these data with records of climate, water balance and soil, onto Landtype Association polygons in a geographical information system. We then used multivariate adaptive regression splines to model the abundance of mesic vegetation in relation to environmental controls. 4Snowfall is the most predictive among five variables retained by our model, and it affects model performance 29% more than soil texture, the second most important variable. The abundance of mesic trees is high on fine-textured soils regardless of snowfall, but it increases with snowfall on coarse-textured substrates. Lake-effect snowfall also determines the species composition within mesic forests. The weighted importance of A. saccharum is significantly greater than of T. canadensis or F. grandifolia within the lake-effect snowbelt, whereas T. canadensis is more plentiful outside the snowbelt. These patterns are probably driven by the influence of snowfall on soil moisture, nutrient availability and fire return intervals. 5Our results imply that a key factor dictating the spatio-temporal patterns of forest communities in the vast region around the Great Lakes is how the lake-effect snowfall regime responds to global change. Snowfall reductions will probably cause a major decrease in the abundance of ecologically and economically important species, such as A. saccharum.
Resumo:
Back Row: Todd Jager, Paul Schmidt, Phil Bromley, Bob Chmiel, Mike Gittleson, Fred Jackson, Jim Herrmann, Bobby Morrison, Lloyd Carr, Cam Cameron, Les Miles, Bill Harris, Greg Mattison, Mike DeBord, T.J. Weist, Jeff Long, Jon Falk
7th Row: Brent Jaco, Ken Mouton, Jim Plocki, Mark Venise, Paul Peristeris (99), Julian Norment (50), Donilo Voyne (89), Scott Seymour (29), Zack Freedman (24), Michael Mangan (71), Ty Consolino (14), Jared Lancer (39), Matt McCoy, Mark Woodson, John McNulty, Bill Priestap
6th Row: Dorie Hicks, Jeff Travis, Stephen Evans (92), Harold Goodwin (56), Tom Guynes (75), Remy Hamilton (19), Mercury Hayes (9), Jarrett Irons (37), Woodrow Hankins (23), Damon Jones (85), Ty Law (22), Earl Little (21), Tyrone Noble (42), Steve King (27), Rod Payne (64), Bob Bland, Ed Whited, Lee Taggart
5th Row: Jeff Zaeske (34), Bryan Sanford (38), Chad Peterson (42), Kerwin Waldroup (59), Deollo Anderson (17), Eric Wendt (65), Mark Bolach (99), Charles Winters (35), Eric Boykin (8), Mike Vanderbeek (45), Shawn Collins (32), Amani Toomer (18), Ray Edmonds (93), Jon Runyan (69), Brian Letscher (27), Adam Pratt (39), Lasker Smith (25), Michael Tilmann (35)
4th Row: Brion Smith (53), Ante Skorput (62), Jay Riemersma (16), Jason Carr (13), Joe Marinaro (73), Che' Foster (33), Paul Barry (78), Tyrone Wheatley (6), Trent Zenkewicz (76), Trezelle Jenkins (77), Mike Sullivan (61), Felman Malveaux (84), Jason Horn (94), Ed Davis (26), Rob Vanderleest (58), Jamie Mignon (49), Todd Richards (29), Sergio Gasperoni (44)
3rd Row: Erik Lovell (17), Marc Elliot (63), Jesse Johnson (30), Shonte Peoples (3), Shawn Miller (57) Walter Smith (2), Marcus Walker (46), Matt Dyson (91), Steve Morrison (36), Todd Collins (10), Ricky Powers (12), Nate Holdren (4), Tony Henderson (79), Greg McThomas (41), Gannon Dudlar (55), Bobby Powers (95), Deon Johnson (28), John Jaeckin (82), Joshua Wuerful (14)
2nd Row: Mike Lewis (71), Mike Nadlicki (44), Paul Manning (54), Dave Dobreff (48), Steve Rekowski (66), Doug Skene (72), Martin Davis (86), Rob Doherty (70), Tony McGee (88), Chris Hutchison (97), Joe Cocozzo (68), Steve Everitt (51), Ninef Aghakhan (90), Marc Milia (67), Eric Graves (52), Derrick Alexander (1), Ron Buff (25), Troy Plate (74)
Front Row: Julian Swearengin (81), Chris Stapleton (18), Dennis Washington (24), Coleman Wallace (5), Dwayne Ware (8), Pat Maloney (43), Corwin Brown (20), Elvis Grbac (15), Burnie Legette (40), Buster Stanley (60), Marc Burkholder (80), Alfie Burch (7), Tony Blankenship (31), Eddie Azcona (9), William Steuk (51), Peter Elezovic (16), Brian Foster (19), Gary Moeller (Head Coach)
Resumo:
Back Row: John Faulk, Jeff Long, T.J. Weist, Mike Debord, Greg Mattison, Bill Harris, Les Miles, Cam Cameron, Lloyd Carr, Bobby Morrison, Jim Herrmann, Fred Jackson, Bob Chmiel, Mike Gittleson, Phil Bromley, Paul Schmidt, Todd Jager
7th Row: Scott Rogow, Ed O'Dowd, Dorey Hicks, Lance Satterthwaite, Thom Holden (27), Josh Cockrell (74), Sean Parini (89), Jace Morgan (38), Brian Griese (14), Scot Loeffler (15), Jeff Springer (71), Brian Williams (19), Colby Keefer (29), Mike Hynes (25), John McNulty, Jeff Travis, Jason Cole, Brian Letcher
6th Row: Kyle Timkin, Jim Plocki, Nate Delong (39), J.J. Brown (43), William Carr (96), Pierre Cooper (88), Damon Denson (99), Dayna Overton (4), Jon Ritchie (40), Clarence Thompson (17), Mike Elston, Glen Steele, John Partchenko, Trevor Pryce, Joe Ries, Bob Bland, Brian Hagens, Lee Taggart
5th Row: Scott Draper, Paul Peristeris (99), Brent Blackwell (24), Tim Biakabutuka (21), Zach Adami (68), Damon Jones (85), Julian Norment (50), Tyrone Noble (42), Steve King (27), Steve Evans (92), Mike Mangan (71), Jared Lancer (39), Rob Swett (44), Seth Smith (86), Ernest Sanders (49), Ben Huff (53), George Howell (51), Schemy Schembechler
4th Row: Woody Hankins (23), Mike Vanderbeek (45), Harold Goodwin (56), Shawn Collins (32), Deollo Anderson (32), Eric Wendt (65), Marc Bolach (70), Mercury Hayes (9), Chuck Winters (35), Amani Toomer (18), Jon Runyan (69), Thomas Guynes (75), Rod Payne (52), Jarrett Irons (37), Jean Angus Charles (34), Kerwin Waldroup (59), Remy Hamilton (19)
3rd Row: Zach Freedman (24), Chad Petterson (43), Todd Richards (83), Ante Skorput (62), Jason Carr (13), Joe Marinaro (73), Che' Foster (33), Paul Barry (78), Trent Zenkewicz (76), Jay Riemersma (16), Mike Sullivan (61), Felman Malveaux (84), Ed Davis (26), Rob Vander Leest (58), Jeff Zaeske (34), Ty Law (22), Gary Moeller
2nd Row: Sergio Gasperoni (44), Erik Lovell (38), John Jaeckin (82), Marcus Walker (46), Shawn Miller (57), Matt Dyson (91), Todd Collins (10), Steve Morrison (36), Tony Henderson (79), Greg McThomas (41), Bobby Powers (95), Deon Johnson (28), Jason Horn (94), Trezelle Jenkins (77), Tyrone Wheatley (6)
Front Row: Chris Stapleton (18), Jesse Johnson (30), Ron Buff (25), Walter Smith (2), Derrick Alexander (1), Ninef Aghakan (90), Shonte Peoples (3), Ricky Powers (12), Marc Milia (67), Buster Stanley (60), Alfie Burch (8), Gannon Dudlar (55) Tony Blankenship (31), Steve Rekowski (66), Peter Elezovic (29)