4.5 Article

Earlier spring reduces potential for gene flow via reduced flowering synchrony across an elevational gradient

期刊

AMERICAN JOURNAL OF BOTANY
卷 108, 期 3, 页码 538-545

出版社

WILEY
DOI: 10.1002/ajb2.1627

关键词

climate change; elevation gradient; flowering synchrony; gene flow; phenology; populations; spring ephemerals

资金

  1. Natural Sciences & Engineering Research Council of Canada

向作者/读者索取更多资源

Our study shows that climate change could decrease gene flow by reducing flowering synchrony among populations along climatic gradients. We also introduce a novel method for quantifying potential pollen-mediated gene flow using flowering phenology data, based on a quantitative, more biologically interpretable model than other available metrics.
Premise One of the best-documented ecological responses to climate warming involves temporal shifts of phenological events. However, we lack an understanding of how phenological responses to climate change vary among populations of the same species. Such variability has the potential to affect flowering synchrony among populations and hence the potential for gene flow. Methods To test whether an earlier start of the growing season affects the potential for gene flow among populations, we quantified the distributions of flowering times of two spring-flowering plants (Trillium erectum and Erythronium americanum) over 6 years along an elevational gradient. We developed a novel model-based metric of potential gene flow between pairs of populations to quantify the potential for pollen-mediated gene flow based on flowering phenology. Results Earlier onset of spring led to greater separation of peak flowering dates across the elevational gradient for both species investigated, but was only associated with a reduction in potential gene flow in T. erectum, not E. americanum. Conclusions Our study suggests that climate change could decrease gene flow via phenological separation among populations along climatic gradients. We also provide a novel method for quantifying potential pollen-mediated gene flow using data on flowering phenology, based on a quantitative, more biologically interpretable model than other available metrics.

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