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Sexual size dimorphism in Myotis nigricans (Schinz, 1821) (Chiroptera: Vespertilionidae) from south Brazil

Overview of attention for article published in Brazilian Journal of Biology, January 2009
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Title
Sexual size dimorphism in Myotis nigricans (Schinz, 1821) (Chiroptera: Vespertilionidae) from south Brazil
Published in
Brazilian Journal of Biology, January 2009
DOI 10.1590/s1519-69842008000400028
Pubmed ID
Authors

R. Bornholdt, LR. Oliveira, ME. Fabián

Abstract

Among Vespertilionidae species, sexual size dimorphism is very well documented, in which females are larger than males. The differences are mainly in body weight, skull measurements and forearm length. Studies have discussed some hypothesis for this phenomenon. However, very little information is known about sexual size dimorphism in Myotis nigricans (Schinz, 1821) in Brazil. In this sense, the goal of this paper is to present a study of this phenomenon in the species. For this, we present a quantitative analysis of sexual size dimorphism assessed by traditional morphometrics. Ten skull measurements in addition to the forearm length of adult specimens were taken. Results of traditional morphometrics revealed sexual size dimorphism in five skull measurements and in the forearm length. Females were larger than males. These differences can be attributed to natural selection on large female size for increase fecundity. Bat females of the Vespertilionidae family are usually larger than males in order to perform parental care appropriately and to provide a successful reproductive process.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 5 7%
Germany 1 1%
Colombia 1 1%
Ghana 1 1%
United States 1 1%
Unknown 58 87%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 15%
Student > Bachelor 10 15%
Researcher 10 15%
Student > Ph. D. Student 9 13%
Student > Postgraduate 8 12%
Other 14 21%
Unknown 6 9%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 78%
Environmental Science 4 6%
Biochemistry, Genetics and Molecular Biology 1 1%
Veterinary Science and Veterinary Medicine 1 1%
Computer Science 1 1%
Other 1 1%
Unknown 7 10%