Literature DB >> 30276980

Strong responses from weakly interacting species.

Sean L Tuck1, Janielle Porter2, Mark Rees3, Lindsay A Turnbull1.   

Abstract

The impact of species loss from competitive communities partly depends on how populations of the surviving species respond. Predicting the response should be straightforward using models that describe population growth as a function of competitor densities; but these models require accurate estimates of interaction strengths. Here, we quantified how well we could predict responses to competitor removal in a community of annual plants, using a combination of observation and experiment. It was straightforward to fit models to multi-species communities, which passed standard diagnostic tests and provided apparently sensible estimates of interaction strengths. However, the models consistently underpredicted the response to competitor removal, by a factor of at least 50%. We argue that this poor predictive ability is likely to be general in plant communities due to 'the ghost of competition present' that confines species to parts of the environment in which they compete best.
© 2018 The Authors Ecology Letters published by CNRS and John Wiley & Sons Ltd.

Keywords:  Community assembly; community dynamics; niches; non-manipulative method; plant competition; population dynamics; sand-dune annuals; species coexistence

Mesh:

Year:  2018        PMID: 30276980     DOI: 10.1111/ele.13163

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  1 in total

1.  Effects of density, species interactions, and environmental stochasticity on the dynamics of British bird communities.

Authors:  Lisa Sandal; Vidar Grøtan; Bernt-Erik Saether; Robert P Freckleton; David G Noble; Otso Ovaskainen
Journal:  Ecology       Date:  2022-06-19       Impact factor: 6.431

  1 in total

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