Published July 27, 2020 | Version v1
Dataset Open

Data from: Heterospecific mating interactions as an interface between ecology and evolution

  • 1. Museum of Nature and Human Activities Hyogo
  • 2. Stockholm University

Description

Reproductive interference (costly interspecific sexual interactions) are well-understood to promote divergence in mating-relevant traits (i.e. reproductive character displacement: RCD), but it can also reduce population growth, eventually leading to local extinction of one of the species. The ecological and evolutionary processes driven by reproductive interference can interact with each other. These interactions are likely to influence whether the outcome is co-existence or extinction, but remain little studied. In this paper, we first develop an eco-evolutionary perspective on reproductive interference by integrating ecological and evolutionary processes in a common framework. We also present a simple model to demonstrate the eco-evolutionary dynamics of reproductive interference. We then identify a number of factors that are likely to influence the relative likelihoods of extinction or RCD. We discuss particularly relevant factors by classifying them into four categories: the nature of the traits responding to selection, the mechanisms determining the expression of these traits, mechanisms of reproductive interference, and the ecological background. We highlight previously underappreciated ways in which these factors may influence the relative likelihoods of RCD and local extinction. By doing so, we also identify questions and future directions that will increase our holistic understanding of the outcomes of reproductive interference.

Notes

Simulation results for the publication was made using a Windows 10 computer. A single run takes a few minutes.

Funding provided by: Japan Society for the Promotion of Science
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001691
Award Number: 16J03061

Funding provided by: Japan Society for the Promotion of Science
Crossref Funder Registry ID: http://dx.doi.org/10.13039/501100001691
Award Number: 19K16222

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