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Strong responses from weakly interacting species.
Tuck, Sean L; Porter, Janielle; Rees, Mark; Turnbull, Lindsay A.
Afiliação
  • Tuck SL; Department of Plant Sciences, University of Oxford, South Parks Road, Oxford, OX1 3RB, UK.
  • Porter J; Department of Evolutionary Biology and Environmental Studies, University of Zurich, Zurich, 8057, Switzerland.
  • Rees M; Department of Animal and Plant Sciences, Western Bank, University of Sheffield, Sheffield, S3 7HF, UK.
  • Turnbull LA; Department of Plant Sciences, University of Oxford, South Parks Road, Oxford, OX1 3RB, UK.
Ecol Lett ; 21(12): 1845-1852, 2018 Dec.
Article em En | MEDLINE | ID: mdl-30276980
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plantas / Ecossistema Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Plantas / Ecossistema Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2018 Tipo de documento: Article