Dispersal, dormancy and life‐history tradeoffs at the individual, population and species levels in southern African Asteraceae. Issue 1 (11th November 2015)

• Record Type: Journal Article
• Authors: de Waal, Caroli; Anderson, Bruce; Ellis, Allan G.
• Is Part Of: New phytologist. Volume 210:Issue 1(2016)
• Page Start: 356
• Page End: 365
• Publication Date: 2015-11-11
• Subjects: Asteraceae -- dispersal -- dormancy -- evolutionary tradeoffs -- iteroparity -- risk spreading -- stochastic environments; Botany -- Periodicals; 580
• DOI: 10.1111/nph.13744
• Languages: English
• ISSNs: 0028-646X

Abstract

Summary: Dispersal and dormancy are important risk‐reducing strategies in unpredictable environments. Negative covariation between these strategies is theoretically expected, but empirical evidence is limited and inconsistent. Moreover, covariation may be affected by other life‐history traits and may vary across levels of biological organization. We assessed dispersal (vertical fall time of fruits, a proxy for wind dispersal ability) and dormancy (germination fractions measured during germination trials) in populations of 15 annual and 12 perennial wind‐dispersed species in six Asteraceae genera from South Africa. Dormancy was higher in annuals than in perennials, whereas fall time was largely determined by evolutionary history. Controlling for phylogeny, dispersal and dormancy was negatively associated across species and life‐history categories. Negative covariation between dispersal and dormancy was not evident at either the individual level (except for seed heteromorphic species) or the population level. Our study provides rare empirical support for the theoretical expectation of tradeoffs between dormancy and the alternative risk‐reducing strategies, perenniality and dispersal, but refutes the expectation of increased dispersability in perennials. Although negative covariation between dispersal and dormancy at the species level appears not to be a simple consequence of upscaling individual‐level mechanistic tradeoffs, our findings suggest that selection for one strategy may constrain evolution of the other.