Literature DB >> 22322220

Are dormant plants hedging their bets? Demographic consequences of prolonged dormancy in variable environments.

Jennifer R Gremer1, Elizabeth E Crone, Peter Lesica.   

Abstract

During the growing season, some individuals in perennial plant populations may remain alive belowground while others emerge. This phenomenon, known as prolonged dormancy, seems maladaptive, because prolonged dormancy delays growth and reproduction. However, prolonged dormancy may offer the benefit of safety while belowground, leading to the hypothesis that prolonged dormancy is a bet-hedging strategy. We evaluated this hypothesis using a 25-year demographic study of Astragalus scaphoides, an iteroparous perennial plant. First, we determined the relationship between prolonged dormancy and fitness using data from individuals in our population. This analysis showed that prolonged dormancy decreased arithmetic mean fitness and reduced variance in fitness. Geometric mean fitness was maximized at intermediate levels of prolonged dormancy. Empirical patterns of lifetime reproductive success confirm this relationship. We also compared fitness of plants in our population to hypothetical plants without prolonged dormancy, which generally revealed benefits of prolonged dormancy, even if plants could forgo prolonged dormancy without costs to other vital rates. Therefore, prolonged dormancy may indeed function as a bet-hedging strategy, but the benefits of remaining belowground outweigh the costs only for a subset of individuals. Bet hedging has been demonstrated in plants with simple life histories, such as annuals and monocarpic perennials; we present evidence that bet hedging may be important for plants with more complex life histories.

Entities:  

Mesh:

Year:  2012        PMID: 22322220     DOI: 10.1086/664459

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  3 in total

1.  It is risky out there: the costs of emergence and the benefits of prolonged dormancy.

Authors:  Jennifer R Gremer; Anna Sala
Journal:  Oecologia       Date:  2013-01-01       Impact factor: 3.225

2.  Predicting evolution in response to climate change: the example of sprouting probability in three dormancy-prone orchid species.

Authors:  Richard P Shefferson; Ryo Mizuta; Michael J Hutchings
Journal:  R Soc Open Sci       Date:  2017-01-18       Impact factor: 2.963

3.  Occupancy times for time-dependent stage-structured models.

Authors:  George Chappelle; Alan Hastings; Martin Rasmussen
Journal:  J Math Biol       Date:  2022-02-02       Impact factor: 2.259

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.