Statistical inference for seed mortality and germination with seed bank experiments

Area of Science:

• Ecology
• Population Biology
• Statistical Modeling

Background:

• Soil seed banks are crucial for plant population dynamics.
• Current methods for analyzing seed bank experiments lack standardization.
• Seed mortality and germination are key parameters for demographic models.

Purpose of the Study:

• To propose novel statistical models for estimating seed mortality and germination from experimental data.
• To evaluate the performance of these models using algebraic and simulation methods.
• To provide standardized analytical tools for plant population ecologists.

Main Methods:

• Developed statistical models based on event history analysis principles.
• Utilized algebraic methods and simulations to assess model identifiability and properties.
• Compared seed bag burial and seed addition experimental designs for data analysis.

Main Results:

• Seed bag burial experiments allow inference of age-dependent mortality and germination, unlike seed addition experiments.
• Both experimental designs yield unbiased estimates when age-dependency is absent, but seed bag burial offers higher precision.
• Model accuracy depends on correct assumptions regarding the age-dependency of seed mortality and germination.

Conclusions:

• The proposed statistical models offer a robust framework for analyzing soil seed bank dynamics.
• Seed bag burial experiments are more informative for age-dependent processes.
• These models can enhance the accuracy of demographic projections in plant ecology.