Survival Rates of American Woodcock Wintering along the Atlantic Coast

1994 ◽  
Vol 58 (1) ◽  
pp. 147 ◽  
Author(s):  
David G. Krementz ◽  
John T. Seginak ◽  
David R. Smith ◽  
Grey W. Pendleton
Keyword(s):  
Atlantic Coast ◽  
Survival Rates ◽  
American Woodcock

Survival Rates of American Woodcock Wintering in the Georgia Piedmont

1997 ◽  
Vol 61 (4) ◽  
pp. 1328 ◽  
Author(s):  
David G. Krementz ◽  
James B. Berdeen
Keyword(s):  
Survival Rates ◽  
American Woodcock ◽  
Georgia Piedmont

Diurnal habitat use of American woodcock wintering along the Atlantic coast

1994 ◽  
Vol 72 (11) ◽  
pp. 1945-1950 ◽  
Author(s):  
David G. Krementz ◽  
Grey W. Pendleton
Keyword(s):  
South Carolina ◽  
Habitat Use ◽  
Coastal Plain ◽  
Atlantic Coast ◽  
Pine Plantations ◽  
Bottomland Hardwoods ◽  
American Woodcock ◽  
Scolopax Minor ◽  
Minor Population

The long-term decline of the American woodcock (Scolopax minor) population led us to investigate diurnal habitat use with radiotelemetry on the wintering grounds. Sites included the coastal plain of Georgia (1989–1991), South Carolina (1988–1989), and Virginia (1991–1992). Habitat use was not explained by age, sex, or date during the winter, but individuals used habitat differently (P < 0.05). Only shrubland was preferred at all sites in all years. Pine plantations of various ages were used according to availability, but usually less often than expected, while bottomland hardwoods and pine–hardwoods were used more often than expected.

Survival of breeding male American woodcock in Maine

1996 ◽  
Vol 74 (11) ◽  
pp. 2046-2054 ◽  
Author(s):  
Jerry R. Longcore ◽  
Daniel G. McAuley ◽  
Greg F. Sepik ◽  
Grey W. Pendleton
Keyword(s):  
Snow Depth ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Forest Type ◽  
Survival Rates ◽  
Migration Period ◽  
Survival Estimate ◽  
American Woodcock ◽  
Scolopax Minor ◽  
Hazards Model

We radio-marked 150 male American woodcock (Scolopax minor) during 1987–1989 and estimated period survival for 1 April – 15 June. Survival varied from 0.690 (1989) to 0.924 (1988), with a 3-year mean (95% confidence interval) of 0.789 (0.693–0.885). Woodcock were killed by raptors (n = 14, 53.8%), mammals (n = 1, 3.8%), or unknown predators (n = 5, 19.2%); six deaths (23.1%) were from miscellaneous causes, including three (11.5%) from entanglement in the transmitter harness. A composite survival estimate based on telemetry studies for the breeding, postbreeding, and wintering periods was 0.471 (0.789 × 0.923 × 0.647). The calculated survival rates were 0.881 for the spring migration period and 0.853 for the combined hunting and fall migration period. In a proportional hazards model, body mass at capture was not related to survival. Forest type (hardwood versus conifers) affected survival (P < 0.016), which was lower for woodcock using mostly conifer sites. Survival was related positively to mean snow depth in December (P < 0.038), negatively to snow depth in April (P < 0.046), and positively to minimum temperature in December (P < 0.054) and April (P < 0.066) in some analyses.

Ultrastructural Changes in Three Different Mammalian Cells Following Ultraviolet Laser Irradiation

1972 ◽  
Vol 30 ◽  
pp. 350-351
Author(s):  
K. Shankar Narayan ◽  
Kailash C. Gupta ◽  
Tohru Okigaki
Keyword(s):  
Ultraviolet Light ◽  
Mammalian Cells ◽  
Biological Effects ◽  
Survival Rates ◽  
Chinese Hamster ◽  
Cell Types ◽  
Differential Sensitivity ◽  
Ultrastructural Changes ◽  
Ultraviolet Laser

The biological effects of short-wave ultraviolet light has generally been described in terms of changes in cell growth or survival rates and production of chromosomal aberrations. Ultrastructural changes following exposure of cells to ultraviolet light, particularly at 265 nm, have not been reported.We have developed a means of irradiating populations of cells grown in vitro to a monochromatic ultraviolet laser beam at a wavelength of 265 nm based on the method of Johnson. The cell types studies were: i) WI-38, a human diploid fibroblast; ii) CMP, a human adenocarcinoma cell line; and iii) Don C-II, a Chinese hamster fibroblast cell strain. The cells were exposed either in situ or in suspension to the ultraviolet laser (UVL) beam. Irradiated cell populations were studied either "immediately" or following growth for 1-8 days after irradiation.Differential sensitivity, as measured by survival rates were observed in the three cell types studied. Pattern of ultrastructural changes were also different in the three cell types.

Prevalence and geographic distribution of haemophilia in Costa Rica

2010 ◽  
Vol 30 (S 01) ◽  
pp. S28-S31 ◽  
Author(s):  
J. Arroyo ◽  
L. Salazar-Sánchez ◽  
G. Jiménez-Cruz ◽  
P. Chaverri ◽  
E. Arrieta-Bolaños ◽  
...  
Keyword(s):  
Costa Rica ◽  
Survival Rates ◽  
Coagulation Factors ◽  
Developed Countries ◽  
Health Centers ◽  
Distribution Analysis ◽  
Distribution Maps ◽  
Immunodeficiency Virus ◽  
The Many ◽  
Low Prevalence

SummaryHaemophilia is the most frequent hereditary haemorrhagic illness and it is due to the deficiency of coagulation factors VIII (haemophilia A, HA) or IX (haemophilia B, HB).The prevalence of this disease varies according to the country, those having better survival rates having also higher prevalences. Specifically in Costa Rica, there are around 130 HA and 30 HB families. This study reports the prevalence and a spatial distribution analysis of both types of the disease in this country. The prevalence of haemophilia in this country is 7 cases per 100 000 men, for HA it is 6 cases per 100 000 and for HB it is 1 case per 100 000 male inhabitants. The prevalence of this disease is low when compared with other populations. This low prevalence could be due to the many patients that have died because of infection with human immunodeficiency virus during the 1980s. The prevalence of haemophilia in Costa Rica is almost one half of that present in developed countries. Nevertheless, the ratio between HA and HB follows world tendency: 5 : 1. In this study, nationwide geographical distribution maps were drawn in order to visualize the origin of severe cases and how this influences the pattern of distribution for both types of haemophilia. By means of these maps, it was possible to state that there is no association between the sites of maximum prevalence of mutated alleles and ethnicity. With this study, haemophilia prevalence distribution maps can be used to improve efforts for the establishment of hemophilia clinics or specialized health centers in those areas which hold the highest prevalences in this country. Also, this knowledge can be applied to improve treatment skills and offer the possibility of developing focused genetic counseling for these populations.

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