Competing species leave many potential niches unfilled

Ben Ashby, Eleanor Watkins, José Lourenço, Sunetra Gupta, Kevin Foster

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)
112 Downloads (Pure)

Abstract

A cornerstone of biology is that coexisting species evolve to occupy separate ecological niches. Classical theory predicts that interspecific competition should lead to all potential niches being occupied, yet observational data suggest that many niches are unfilled. Here we show that theory can be reconciled with observational data by reconceptualising competition in the Hutchinsonian niche space to distinguish between substitutable and non-substitutable resources. When resources are substitutable (e.g. seeds of different size), the components of competition along the niche axes combine multiplicatively, leading to a densely packed niche space. However, when resources are non-substitutable (e.g. seeds and nest sites), we show that the components of competition combine additively. Disruptive selection therefore limits niche overlap between non-substitutable niche axes, leaving most potential niches unfilled. A key corollary is that increasing the number of niche axes may greatly increase the number of potential niches but does not necessarily increase diversity. We discuss observational data that are consistent with our model and consider implications for systems with invasive species. Our work reinforces the power of competition to drive major ecological patterns: while niche space informs on species that might exist, only a small and potentially arbitrary subset will coexist in sympatry.
Original languageEnglish
Pages (from-to)1495-1501
Number of pages7
JournalNature Ecology & Evolution
Volume1
Issue number10
Early online date18 Sep 2017
DOIs
Publication statusPublished - 31 Oct 2017

Keywords

  • niche space
  • competition
  • limiting similarity
  • character displacement
  • multidimensional niche
  • evolution
  • hutchinson

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Applied Mathematics
  • Modelling and Simulation

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