Average Age at First Reproduction of the Northern Fur Seal (Callorhinus ursinus)

1983 ◽  
Vol 40 (2) ◽  
pp. 121-127 ◽  
Author(s):  
Anne E. York

Three methods of estimating average age at first reproduction of the northern fur seal, Callorhinus ursinus, are presented. For the first, the percentage of females pregnant for the first time is estimated from the percentage of primiparous pregnant females in the population. For the second, the percentage of females pregnant for the first time is estimated from the difference in the percentages of females pregnant at least once at successive ages. The jackknife variances of both estimates are presented. The estimates are calculated for the 1954–64 year-classes of northern fur seals using data collected at sea by the United States and Canada during 1958–74. By fitting parametric curves to the fraction pregnant at least once as a function of age and applying the second method to that resulting curve, the average age at first reproduction is estimated in a third way; this method is applicable to year-classes for which data are incomplete and estimates are given for the 1952, 1953, 1965, and 1966 year-classes. Age at first reproduction was lowest for the 1952–55 year-classes, increased sharply beginning with the 1956 year-class, and then gradually decreased almost to the level of the 1952–55 year-classes. Average age at first reproduction is negatively correlated with juvenile survival (birth to age 2 yr).Key words: fur seal, northern fur seal, Callorhinus ursinus; average age at first reproduction, cohort analysis, population dynamics

1981 ◽  
Vol 38 (1) ◽  
pp. 84-90 ◽  
Author(s):  
Anne E. York ◽  
James R. Hartley

Female northern fur seals (Callorhinus ursinus) were harvested commercially from 1956 to 1968 and pelagic collections were taken for research purposes from 1958 to 1974. Early survival rates (birth to age 2) for males increased from an average of 0.32 before the harvest to 0.38 afterwards. Numbers of female pups whose births were precluded by the harvest are estimated for the years 1956–79; these account for about 70% of the difference between the numbers of pups actually born and the level of pup births before 1956. Estimates of the increased numbers of pups due to the increase in the early survival rates are presented for the years 1958–74.Key words: northern fur seal, population dynamics, female harvest, cohort analysis, St. Paul Island


1997 ◽  
Vol 78 (2) ◽  
pp. 675-683 ◽  
Author(s):  
V. B. Scheffer ◽  
A. E. York

Fractals ◽  
2020 ◽  
Vol 28 (07) ◽  
pp. 2150023
Author(s):  
HAMIDREZA NAMAZI ◽  
ONDREJ KREJCAR ◽  
ABDULHAMIT SUBASI

SARS-CoV-2 is a deadly virus that has affected human life since late 2019. Between all the countries that have reported the cases of patients with SARS-CoV-2 disease (COVID-19), the United States of America has the highest number of infected people and mortality rate. Since different states in the USA reported different numbers of patients and also death cases, analyzing the difference of SARS-CoV-2 between these states has great importance. Since the generated RNA walk from the SARS-CoV-2 genome includes complex random fluctuations that also contain information, in this study, we employ the complexity and information theories to investigate the variations of SARS-CoV-2 genome between different states in the USA for the first time. The results of our analysis showed that the fractal dimension and Shannon entropy of genome walk significantly change between different states. Based on these results, we can conclude that the SARS-CoV-2 genomic structure significantly changes between different states, which is resulted from the virus evolution. Therefore, developing a vaccine for SARS-CoV-2 is very challenging since it should be able to fight various structures of the virus in different states.


2002 ◽  
Vol 75 (1) ◽  
pp. 3-18 ◽  
Author(s):  
M. J. Donohue ◽  
D. P. Costa ◽  
E. Goebel ◽  
G. A. Antonelis ◽  
J. D. Baker

2007 ◽  
Vol 23 (2) ◽  
pp. 445-452 ◽  
Author(s):  
Gregg P. Adams ◽  
J. Ward Testa ◽  
Caroline E. C. Goertz ◽  
Rolf R. Ream ◽  
Jeremy T. Sterling

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