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How to measure mast seeding?

Michał Bogdziewicz1,2, Rafael Calama3, Benoit Courbaud2

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This summary is machine-generated.

Masting, or periodic seed production in plants, shows variability. New metrics, volatility and periodicity, better analyze plant masting data, especially with zeros, improving ecological insights.

Keywords:
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Area of Science:

  • Ecology
  • Plant Biology
  • Quantitative Biology

Background:

  • Masting, the synchronized, large-scale seed production in perennial plants, is crucial for plant fitness and impacts food webs.
  • Quantifying year-to-year variability in masting is challenging due to limitations of traditional methods like the coefficient of variation, especially with zero-inflated, individual-plant data.

Purpose of the Study:

  • To introduce and validate new analytical metrics, volatility and periodicity, for quantifying masting variability.
  • To address the limitations of existing methods in analyzing serial dependence and zero-inflated data in masting.

Main Methods:

  • Developed and applied "volatility" and "periodicity" metrics, which analyze variance in the frequency domain.
  • Utilized case studies with individual-plant data from Sorbus aucuparia, Pinus pinea, Quercus robur, Quercus pubescens, and Fagus sylvatica.

Main Results:

  • The new metrics, volatility and periodicity, effectively account for variance in both high and low frequencies, even with zero values in the data.
  • These metrics offer improved ecological interpretations compared to the coefficient of variation for individual-plant masting data.

Conclusions:

  • Volatility and periodicity provide robust tools for analyzing complex masting patterns in perennial plants.
  • These advancements are essential for leveraging long-term, individual-plant datasets for ecological research, including studies on phenotypic selection, heritability, and climate change impacts.