Ecology Letters · 2015

Metacommunity speciation models and their implications for diversification theory

Hubert N., Calcagno V., Etienne R.S., Mouquet N.

doi.org/10.1111/ele.12458
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Key Message

The emergence of new frameworks combining evolutionary and ecological dynamics in communities opens new perspectives on the study of speciation. By acknowledging the relative contribution of local and regional dynamics in shaping the complexity of ecological communities, metacommunity theory sheds a new light on the mechanisms underlying the emergence of species.

Three integrative frameworks have been proposed, involving neutral dynamics, niche theory, and life history trade-offs respectively.

Here, we review these frameworks of metacommunity theory to emphasise that: (1) studies on speciation and community ecology have converged towards similar general principles by acknowledging the central role of dispersal in metacommunities dynamics, (2) considering the conditions of emergence and maintenance of new species in communities has given rise to new models of speciation embedded in the metacommunity theory, (3) studies of diversification have shifted from relating phylogenetic patterns to landscapes spatial and ecological characteristics towards integrative approaches that explicitly consider speciation in a mechanistic ecological framework. We highlight several challenges, in particular the need for a better integration of the eco-evolutionary consequences of dispersal and the need to increase our understanding on the relative rates of evolutionary and ecological changes in communities.

Figure from Hubert et al. 2015
Landscape physical (A) and environmental (B) characteristics, life history traits (C), and associated ecological and evolutionary frameworks. Species composition within and among communities is shaped by demographic stochasticity (A), habitat filtering and competition (B), and life history trade-offs (C). (A) In homogeneous landscapes with functionally equivalent species, abundance is driven by stochasticity and genomic incompatibilities leading to reproductive isolation. (B) In heterogeneous landscapes, species compete for resources based on their niches, and isolation arises from adaptive trait shifts. (C) Where competition limits coexistence, species co-occurrence is driven by life history trade-offs, with isolation emerging in trade-off space. Grids and circles in A1, B1, and C1 represent patches and populations, and arrows in C1 indicate dispersal.
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