Measuring temporal patterns in ecology: The case of mast seeding

Area of Science:

• Ecology
• Population Dynamics
• Reproductive Biology

Background:

• Mast seeding, characterized by synchronized, variable reproduction, is crucial for understanding ecosystem dynamics.
• The coefficient of variation (CV) is widely used to quantify temporal variability in mast seeding.
• Concerns exist regarding the accuracy of CV, particularly with non-normal data and high zero-inflation.

Purpose of the Study:

• To critically evaluate the limitations of the coefficient of variation (CV) in assessing temporal variability.
• To highlight the advantages of alternative metrics for measuring mast seeding patterns.
• To propose a refined framework for analyzing reproductive strategies in ecological contexts.

Main Methods:

• Review and critique of the coefficient of variation (CV) for ecological data analysis.
• Introduction and discussion of alternative metrics: proportional variability (PV) and consecutive disparity (D).
• Conceptual separation of temporal variability from reproduction frequency.

Main Results:

• The coefficient of variation (CV) is prone to bias, especially with datasets containing numerous zeros.
• Proportional variability (PV) and consecutive disparity (D) provide more reliable measures of temporal variability.
• Distinguishing between variability and frequency enhances the comparability of reproductive data.

Conclusions:

• The coefficient of variation (CV) is an inadequate metric for assessing temporal variability in mast seeding.
• Adoption of robust metrics like PV and D is recommended for accurate ecological analysis.
• Future research should clearly define and measure temporal patterns using standardized, comparable metrics.