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Updated: Aug 6, 2026

Reliable Method for Assessing Seed Germination, Dormancy, and Mortality under Field Conditions
Published on: November 6, 2016
Seed dormancy and delayed flowering in monocarpic plants: selective interactions in a stochastic environment
Mark Rees1, Dylan Z Childs, Jessica C Metcalf
1Department of Animal and Plant Sciences, University of Sheffield, Sheffield S10 2TN, United Kingdom. m.rees@sheffield.ac.uk
Temporal variation significantly impacts the evolution of delayed reproduction and seed dormancy. Our models accurately predict flowering and germination strategies for plants like Carlina vulgaris and Carduus nutans.
Area of Science:
- Evolutionary Ecology
- Population Dynamics
- Plant Demography
Background:
- Understanding the interplay between life-history traits is crucial for predicting population persistence.
- Temporal variation in demographic rates can significantly influence evolutionary trajectories.
- Delayed reproduction and seed dormancy are key strategies affecting plant population dynamics.
Purpose of the Study:
- To investigate how temporal variation in demographic rates affects the joint evolution of delayed reproduction and seed dormancy.
- To extend integral projection models (IPMs) to incorporate seed bank dynamics and environmental variability.
- To compare model predictions with field data for Carlina vulgaris and Carduus nutans.
Main Methods:
- Development of an extended integral projection model (IPM) with a discrete seed bank state variable.
- Inclusion of density-dependent recruitment and temporal variation in demographic rates.
- Application of the evolutionarily stable strategy (ESS) framework to predict life-history strategies.
Main Results:
- Excellent agreement was found between ESS predictions and observed flowering/germination strategies for both species.
- Temporal variation's effects on ESS were partitioned into nonlinear averaging and nonequilibrium dynamics.
- Covariance between demographic processes was identified as a critical factor influencing evolutionary outcomes.
Conclusions:
- Temporal environmental variation has substantial effects on the evolution of plant life-history strategies.
- Extended IPMs provide a robust framework for studying the joint evolution of complex traits.
- Findings highlight the importance of considering demographic stochasticity and spatial structure in evolutionary studies.
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