Population Regulation in the Wood Mouse, Apodemus sylvaticus. I. Density Dependence in the Annual Cycle of Abundance

10.2307/4842 ◽  
1989 ◽  
Vol 58 (2) ◽  
pp. 465 ◽  
Author(s):  
W. I. Montgomery
Keyword(s):  
Density Dependence ◽  
Annual Cycle ◽  
Population Regulation ◽  
Wood Mouse ◽  
Apodemus Sylvaticus

Population regulation in the Wood Mouse Apodemus sylvaticus (L.)

Mammal Review ◽  
1993 ◽  
Vol 23 (2) ◽  
pp. 73-92 ◽  
Author(s):  
W. L. WILSON ◽  
W. I. MONTGOMERY ◽  
R. W. ELWOOD
Keyword(s):  
Population Regulation ◽  
Wood Mouse ◽  
Apodemus Sylvaticus

Field identification of Apodemus flavicollis and Apodemus sylvaticus: a quantitative comparison of different biometric measurements

Mammalia ◽  
2016 ◽  
Vol 80 (5) ◽  
Author(s):  
Paola Bartolommei ◽  
Giulia Sozio ◽  
Cristina Bencini ◽  
Carlo Cinque ◽  
Stefania Gasperini ◽  
...  
Keyword(s):  
Wood Mouse ◽  
Apodemus Sylvaticus ◽  
Quantitative Comparison ◽  
Apodemus Flavicollis ◽  
Field Identification ◽  
Biometric Measurements

AbstractThe identification of the wood mouse

Seed Detection by the Wood Mouse Apodemus sylvaticus

Oikos ◽  
1976 ◽  
Vol 27 (1) ◽  
pp. 174 ◽  
Author(s):  
T. J. Jennings
Keyword(s):  
Wood Mouse ◽  
Apodemus Sylvaticus

Craniometric data of Apodemus sylvaticus in Slovakia

Biologia ◽  
2015 ◽  
Vol 70 (7) ◽  
Author(s):  
Alexander Čanády ◽  
Ladislav Mošanský
Keyword(s):  
Discriminant Analysis ◽  
Genetic Interaction ◽  
Function Analysis ◽  
Geographic Distance ◽  
Wood Mouse ◽  
Apodemus Sylvaticus ◽  
Small Scale ◽  
Craniometric Analysis ◽  
North Western ◽  
Different Parts

AbstractA craniometric analysis of skulls of the wood mouse (Apodemus sylvaticus) from three different parts of Slovakia (north-western, northern and south-eastern) was conducted. Twenty-nine skull and dental variables were measured and evaluated on a sample of 56 adult individuals. The overlap of the values of the measured traits was high. Moreover, the differences among the populations were different for each trait. The non-parametric Kruskal-Wallis test and Discriminant function analysis showed variations in the cranial variables among the different parts of country. We have identified six morphometric variables suitable for the differentiation of populations on the basis of discriminant analysis. Significant differences were confirmed in the characteristics between the analyzed regions; thus, we can speak about small-scale craniometric differentiation. In addition, the results could indicate the influence of altitude, even over a shorter geographic distance between 48-49º N. Moreover, restriction of genetic interaction between the populations may in the future lead to even greater differences between the populations in Slovakia.

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