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Female preferences for male traits and territory characteristics in the cichlid fish Tropheusmoorii

Overview of attention for article published in Hydrobiologia, May 2014
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Title
Female preferences for male traits and territory characteristics in the cichlid fish Tropheusmoorii
Published in
Hydrobiologia, May 2014
DOI 10.1007/s10750-014-1892-7
Pubmed ID
Authors

Caroline M. Hermann, Verena Brudermann, Holger Zimmermann, Johann Vollmann, Kristina M. Sefc

Abstract

Female mate preferences for male traits and resource characteristics affect trait evolution and diversification. Here, we test the effects of male body traits and territory characteristics on within-population female preferences and on population-assortative mating in the cichlid Tropheus moorii. Within-population preferences of females were independent of male body size, coloration and territory size but were strongly dependent on territory quality and co-varied with male courtship activity. Courtship activity of individual males was contingent on the quality of their assigned territory, and therefore, courtship may not only indicate intrinsic male quality. On the basis of these results we suggest that female preferences for high-quality territories reinforce the outcome of malemale competition and ensure male mating success. Mating preferences of females for males of their own color variant (ascertained in a previous experiment) were not overturned when males of another color variant were presented in a superior territory, indicating that within- and between-population mate preferences of females depend on different cues.

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Mendeley readers

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Geographical breakdown

Country Count As %
Mexico 1 2%
Unknown 48 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 29%
Researcher 7 14%
Student > Master 7 14%
Student > Bachelor 4 8%
Professor 3 6%
Other 6 12%
Unknown 8 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 61%
Environmental Science 3 6%
Biochemistry, Genetics and Molecular Biology 2 4%
Veterinary Science and Veterinary Medicine 1 2%
Computer Science 1 2%
Other 2 4%
Unknown 10 20%