2012
DOI: 10.1038/ncomms2239
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Competition–colonization dynamics in experimental bacterial metacommunities

Abstract: One of the simplest hypotheses used to explain species coexistence is the competitioncolonization trade-off, that is, species can stably coexist in a landscape if they show a trade-off between competitive and colonization abilities. Despite extensive theory, the dynamics predicted to result from competition-colonization trade-offs are largely untested. Landscape change, such as habitat destruction, is thought to greatly influence coexistence under competition-colonization dynamics, although there is no formal … Show more

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Cited by 77 publications
(73 citation statements)
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“…If cells are nonmotile, then spreading is achieved by growth itself, and there is essentially a single selection pressure for faster growth (34). However, motile cells may face a trade-off between growth and motility, which can sustain coexistence (36). Thus, crowding avoidance and dispersal can lead to similar selection pressures and ecological consequences.…”
Section: Discussionmentioning
confidence: 99%
“…If cells are nonmotile, then spreading is achieved by growth itself, and there is essentially a single selection pressure for faster growth (34). However, motile cells may face a trade-off between growth and motility, which can sustain coexistence (36). Thus, crowding avoidance and dispersal can lead to similar selection pressures and ecological consequences.…”
Section: Discussionmentioning
confidence: 99%
“…Theory demonstrates that spatial (Chesson 2000) and temporal (Duthie et al 2014) resource fluctuations can lead to coexistence on a local scale, but no tactical models exist to predict their effect on the dynamics of specific ephemeral patch systems. Ideally, such models could be applied to communities amenable to experimental manipulation or long-term observation, as has been done for competition-colonization dynamics at a regional scale (e.g., Livingston et al 2012).…”
Section: Discussionmentioning
confidence: 99%
“…, ; Livingston et al . ). Specifically, they allow the identification of causalities and bridging the gap between the complexity of natural systems and the level of abstraction inherent to all theoretical models (Holyoak & Lawler ).…”
Section: Methodsmentioning
confidence: 97%