Literature DB >> 17853996

The interactive effects of herbivory and mixed mating for the population dynamics of Impatiens capensis.

Janette A Steets1, Tiffany M Knight, Tia-Lynn Ashman.   

Abstract

In this study, we examine the demographic consequences of mixed mating and explore the interactive effects of vegetative herbivory and mating system for population dynamics of Impatiens capensis, a species with an obligate mixed mating system (i.e., individuals produce both obligately selfing cleistogamous and facultatively outcrossing chasmogamous flowers). In two natural populations, we followed seeds derived from cleistogamous and chasmogamous flowers subject to different herbivory levels throughout their life cycle. Using a mating system-explicit projection matrix model, we found that mating system types differed in important vital rates. Cleistogamous individuals had higher rates of germination than did chasmogamous individuals, whereas chasmogamous individuals expressed a fecundity advantage over cleistogamous individuals. In addition, population growth was most sensitive to changes in vital rates of cleistogamous individuals, indicating the demographic importance of selfing for these populations. Herbivory also had demographic consequences; a 33%-49% reduction in herbivory caused the population growth rates to increase by 104%-132%, primarily because of effects on vital rates of selfed individuals. Our results not only uncover a novel consequence of mating system expression, that is, mating system influences population dynamics, but also shed light on the role of herbivores in maintaining mixed mating.

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Year:  2007        PMID: 17853996     DOI: 10.1086/518178

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


  7 in total

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6.  Environmental context determines within- and potential between-generation consequences of herbivory.

Authors:  Susan M Lin; Laura F Galloway
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7.  The role of plant-mycorrhizal mutualisms in deterring plant invasions: Insights from an individual-based model.

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Journal:  Ecol Evol       Date:  2019-01-28       Impact factor: 2.912

  7 in total

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