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The balance model of honest sexual signaling.
Fromhage, Lutz; Henshaw, Jonathan M.
Afiliação
  • Fromhage L; Department of Biological and Environmental Science, University of Jyvaskyla, Jyvaskyla, 40014, Finland.
  • Henshaw JM; Institute of Biology I (Zoology), University of Freiburg, Freiburg, 79104, Germany.
Evolution ; 76(3): 445-454, 2022 03.
Article em En | MEDLINE | ID: mdl-35075645
Costly signaling theory is based on the idea that individuals may signal their quality to potential mates and that the signal's costliness plays a crucial role in maintaining information content ("honesty") over evolutionary time. Although costly signals have traditionally been described as "handicaps," here we present mathematical results that motivate an alternative interpretation. We show that under broad conditions, the multiplicative nature of fitness selects for roughly balanced investments in mating success and viability, thereby generating a positive correlation between signal size and quality. This balancing tendency occurs because selection for increased investment in a fitness component diminishes with the absolute level of investment in that component, such that excessively biased investments are penalized. The resulting interpretation of costly signals as balanced (albeit not necessarily equal) investments may be a widely applicable alternative to the traditional "handicap" metaphor, which has been criticized for its non-Darwinian connotation of selection for "waste" rather than efficiency. We predict that accelerating returns on viability are necessary to undermine honesty. This prediction depends crucially on the assumption that mating success and viability contribute multiplicatively (rather than additively) to an individual's fitness.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Reprodução / Evolução Biológica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Reprodução / Evolução Biológica Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article