scholarly journals Physiological, Behavioral, and Life-History Adaptations to Environmental Fluctuations in the Edible Dormouse

2020 ◽  
Vol 11 ◽  
Author(s):  
Thomas Ruf ◽  
Claudia Bieber
2015 ◽  
Vol 37 (5) ◽  
pp. 953-965 ◽  
Author(s):  
Carmen Gabaldón ◽  
Javier Montero-Pau ◽  
María José Carmona ◽  
Manuel Serra

1999 ◽  
Vol 56 (8) ◽  
pp. 1376-1388 ◽  
Author(s):  
Oscar E Gaggiotti ◽  
Russel D Vetter

We study the effect of recruitment failures and variance in reproductive success on effective population size (Ne) in populations with type III survivorship curves. Special emphasis is put on determining the causes for the large differences in the genetic variability between populations of Pacific sardine (Sardinops sagax) and northern anchovy (Engraulis mordax). The results indicate that moderate differences in life history between ecologically related species can lead to substantial differences in Ne. The effect of fluctuations in vital rate parameters induced by environmental changes on Ne depends on the life history of each species. The ratio of Ne to census size is directly proportional to the total reproductive value of a population, but the sensitivity of this ratio to environmental fluctuations is inversely proportional to the generation overlap. The larger the generation overlap, the smaller the impact of environmental fluctuations on the level of genetic variability maintained by a population. The large difference in heterozygosity between Pacific sardine and northern anchovy populations is likely due to both life history differences between the two species and a recent arrival (founder event) of the Pacific sardine population to the California Current System.


2017 ◽  
Vol 188 (2) ◽  
pp. 359-371 ◽  
Author(s):  
Nadine Havenstein ◽  
Franz Langer ◽  
Joanna Fietz

Ecology ◽  
2006 ◽  
Vol 87 (2) ◽  
pp. 372-381 ◽  
Author(s):  
T. Ruf ◽  
J. Fietz ◽  
W. Schlund ◽  
C. Bieber

2019 ◽  
Vol 42 ◽  
Author(s):  
Boris Kotchoubey

Abstract Life History Theory (LHT) predicts a monotonous relationship between affluence and the rate of innovations and strong correlations within a cluster of behavioral features. Although both predictions can be true in specific cases, they are incorrect in general. Therefore, the author's explanations may be right, but they do not prove LHT and cannot be generalized to other apparently similar processes.


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