Literature DB >> 20022401

Dynamics of multiple signalling systems: animal communication in a world in flux.

Jakob Bro-Jørgensen1.   

Abstract

The ubiquity of multiple signalling is a long-standing puzzle in the study of animal communication: given the costs of producing and receiving signals, why use more than a single cue? Focusing on sexually selected signals, I argue that dynamic variation in selection pressures can often explain why multiple signals coexist. In contrast to earlier research, which has taken a largely static view of the world, new insights highlight how fluctuations in ecological and social environments, as well as non-equilibrium dynamics intrinsic to coevolutionary systems, can maintain both multiple redundant and non-redundant signals. Future challenges will include identifying the circumstances under which environmental fluctuations lead to multiple signalling, and the consequences of such fluctuations for speciation in multiple-signalling species. 2009 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2009        PMID: 20022401     DOI: 10.1016/j.tree.2009.11.003

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  62 in total

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7.  Mate sampling and choosiness in the sand goby.

Authors:  Kai Lindström; Topi K Lehtonen
Journal:  Proc Biol Sci       Date:  2013-06-26       Impact factor: 5.349

Review 8.  A systems approach to animal communication.

Authors:  Eileen A Hebets; Andrew B Barron; Christopher N Balakrishnan; Mark E Hauber; Paul H Mason; Kim L Hoke
Journal:  Proc Biol Sci       Date:  2016-03-16       Impact factor: 5.349

Review 9.  Insight into the neuroendocrine basis of signal evolution: a case study in foot-flagging frogs.

Authors:  Lisa A Mangiamele; Matthew J Fuxjager
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2017-10-07       Impact factor: 1.836

10.  Females can solve the problem of low signal reliability by assessing multiple male traits.

Authors:  Abigail K Wegehaupt; William E Wagner
Journal:  Biol Lett       Date:  2017-09       Impact factor: 3.703

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