Abstract
While most introduced species fail to become invasive, those that
succeed are a major threat to global biodiversity. To improve the
management of invasive species, a predictive understanding of invasion
risk is needed. There is strong evidence that invasive success is linked
to specific traits of the introduced species, and it is well recognised
that phenotypic trait heterogeneity is linked to population viability.
However, the effects of population-level traits, and the contribution of
trait heterogeneity to invasive success, remain poorly addressed in
invasion biology. Here, we address this gap by quantifying the
contribution of founding population phenotypic heterogeneity to
reproductive success (a proxy for invasion success). Namely, we use the
Trinidadian guppy (Poecilia reticulata) to test the prediction
that founding populations composed of phenotypically heterogeneous males
produce larger broods of more viable offspring than founding
populations of reduced male heterogeneity. We found that founding
populations of greater male phenotypic heterogeneity produced larger
broods. Furthermore, whilst male sexual behaviour was an important
predictor of brood size for all groups of reduced male heterogeneity,
this was not observed for phenotypically heterogeneous populations.
Taken together, our results provide strong support for the key role
phenotypic heterogeneity plays in the invasion process.
Original language | English |
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Pages (from-to) | 187-199 |
Number of pages | 13 |
Journal | Ethology |
Volume | 129 |
Issue number | 4-5 |
Early online date | 2 Jan 2023 |
DOIs | |
Publication status | Published - 5 Apr 2023 |
Keywords
- Invasive species
- Diversity
- Phenotypic heterogeneity
- Establishment success
- Sexual behaviour
- Trinidadian guppy
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Dive into the research topics of 'The effect of phenotypic heterogeneity on behaviours linked to invasive success'. Together they form a unique fingerprint.Datasets
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The effect of phenotypic heterogeneity on behaviours linked to invasive success (dataset)
Jessop, A. (Creator), Borges Da Costa Guint Barbosa, M. (Supervisor) & Deacon, A. (Other), University of St Andrews, 5 Jan 2023
DOI: 10.17630/30f8d066-46f4-441c-9af5-fba97ab82c8c
Dataset
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