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Article . 2023
License: CC BY
Data sources: ZENODO
https://doi.org/10.22541/au.16...
Article . 2023 . Peer-reviewed
Data sources: Crossref
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
ZENODO
Article . 2023
License: CC BY
Data sources: Datacite
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Spatial coexistence of coinvading communities with mutualism and competition

Authors: Naven Narayanan; Lutz, Peter; Shaw, Allison;

Spatial coexistence of coinvading communities with mutualism and competition

Abstract

All interactions between multiple species invading together (coinvasion) must be accounted for to predict species coexistence patterns across space. Mutualisms, particularly, are known to influence species’ population dynamics and their invasive ability (e.g. mycorrhizal fungi with partner plants). Yet, while modelling coinvasion, their role in mediating coexistence is overlooked. We build a spatial model of coinvasion of two competing plant species with a shared fungal mutualist to study how mutualism and competition shape the spatial coexistence of competitors. We find that mutualist presence engenders regional (spatial) coexistence between competitors even when local coexistence between them is impossible. Further, increasing mutualist dispersal results in sharp transitions in competitor coexistence outcomes. Finally, differences in mutualist partner dependence and competitive ability interact to produce a variety of local and regional coexistence outcomes. Thus, incorporating mutualism dependence and dispersal behaviour into coinvasion models offers new insights into spatial coexistence and invasive species distributions.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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