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Author |
Peake, T.M.; Terry, A.M.R.; McGregor, P.K.; Dabelsteen, T. |
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Title |
Do great tits assess rivals by combining direct experience with information gathered by eavesdropping? |
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Journal Article |
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Year |
2002 |
Publication |
Proceedings. Biological sciences / The Royal Society |
Abbreviated Journal |
Proc Biol Sci |
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Volume |
269 |
Issue |
1503 |
Pages |
1925-1929 |
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Keywords |
Aggression; *Animal Communication; Animals; Male; Songbirds/*physiology; Territoriality; *Vocalization, Animal |
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Abstract |
Animals frequently use signals that travel further than the spacing between individuals. For every intended recipient of a given signal there are likely to be many other individuals that receive information. Eavesdropping on signalling interactions between other individuals provides a relatively cost-free method of assessing future opponents or mates. Male great tits (Parus major) extract relative information from such interactions between individuals unknown to them. Here, we show that male great tits can take information gathering a stage further and obtain more information about a previously unencountered intruder, by the hitherto unknown capability of combining information gathered by eavesdropping with that derived from their own direct interaction with an individual. Prior experience with an intruder (A) was achieved by subjecting a focal male to different levels of intrusion simulated using interactive playback. This intruder (A) then took part in a simulated interaction with an unknown male (B) outside the territorial boundary of the focal males. In response to subsequent intrusion by the second male (B), focal males showed low song output in response to males that had lost to a male that the subject was able to beat. Males of known high quality, or those about which information was ambiguous, elicited a high level of song output by focal males. We discuss the implications of this finding for the evolution of communication and social behaviour. |
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Department of Animal Behaviour, Zoological Institute, Copenhagen University, Tagensvej 16, DK 2200 Copenhagen N, Denmark. tmpeake@zi.ku.uk |
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0962-8452 |
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PMID:12350255 |
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no |
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refbase @ user @ |
Serial |
501 |
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Author |
McComb, K.; Clutton-Brock, T. |
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Title |
Is mate choice copying or aggregation responsible for skewed distributions of females on leks? |
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Journal Article |
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Year |
1994 |
Publication |
Proceedings. Biological sciences / The Royal Society |
Abbreviated Journal |
Proc Biol Sci |
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Volume |
255 |
Issue |
1342 |
Pages |
13-19 |
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Keywords |
Animals; Deer/*physiology; Estrus/physiology; Female; Male; Phenotype; Sexual Behavior, Animal/*physiology; Territoriality |
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Abstract |
In several lek-breeding populations of birds and mammals, females arriving on leks tend to join males that already have females in their territories. This might occur either because females have an evolved preference for mating with males that are attractive to other females, or because they join groups of other females to obtain greater safety from predation or dangerous harassment by males. We have previously used controlled experiments to show that oestrous fallow deer females join males with established harems because they are attracted to female groups rather than to the males themselves. Here we demonstrate that the preference for males with females over males without females is specific to oestrous females and weak or absent in anoestrous ones, and that it is not associated with a preference for mating with males that have previously been seen to mate with other females. Furthermore, oestrous females given the choice between males that do not already have females with them show no significant preference for antlered over deantlered males or for older males over younger ones. We conclude that female attraction to other females on the lek is likely to be an adaptation to avoiding harassment in mixed-sex herds. In this situation, a male's ability to maintain the cohesion of his harem may be the principal cause of variation in mating success between males. |
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Department of Zoology, University of Cambridge, U.K |
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0962-8452 |
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PMID:8153135 |
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1823 |
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Author |
Grosenick, L.; Clement, T.S.; Fernald, R.D. |
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Title |
Fish can infer social rank by observation alone |
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Journal Article |
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Year |
2007 |
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Nature |
Abbreviated Journal |
Nature |
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Volume |
445 |
Issue |
7126 |
Pages |
429-432 |
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Keywords |
Aggression/physiology; Animals; Cognition/*physiology; Female; Fishes/*physiology; Learning/*physiology; Male; Models, Biological; *Social Dominance; Territoriality |
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Abstract |
Transitive inference (TI) involves using known relationships to deduce unknown ones (for example, using A > B and B > C to infer A > C), and is thus essential to logical reasoning. First described as a developmental milestone in children, TI has since been reported in nonhuman primates, rats and birds. Still, how animals acquire and represent transitive relationships and why such abilities might have evolved remain open problems. Here we show that male fish (Astatotilapia burtoni) can successfully make inferences on a hierarchy implied by pairwise fights between rival males. These fish learned the implied hierarchy vicariously (as 'bystanders'), by watching fights between rivals arranged around them in separate tank units. Our findings show that fish use TI when trained on socially relevant stimuli, and that they can make such inferences by using indirect information alone. Further, these bystanders seem to have both spatial and featural representations related to rival abilities, which they can use to make correct inferences depending on what kind of information is available to them. Beyond extending TI to fish and experimentally demonstrating indirect TI learning in animals, these results indicate that a universal mechanism underlying TI is unlikely. Rather, animals probably use multiple domain-specific representations adapted to different social and ecological pressures that they encounter during the course of their natural lives. |
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Department of Biological Sciences, Stanford University, Stanford, California, 94305, USA. logang@stanford.edu |
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English |
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ISSN |
1476-4687 |
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PMID:17251980 |
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refbase @ user @ |
Serial |
600 |
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