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Changes in maternal investment in eggs can affect population dynamics
T G Benton1, S J Plaistow, A P Beckerman
1School of Biological and Environmental Sciences, University of Stirling, Stirling FK9 4LA, UK. t.g.benton@leeds.ac.uk
Proceedings. Biological Sciences
|July 12, 2005
Summary
Maternal provisioning in soil mites creates a trade-off between egg number and quality, impacting offspring development. These maternal effects can drive population dynamics across multiple generations.
Area of Science:
- Ecology
- Evolutionary Biology
- Population Dynamics
Background:
- Maternal provisioning strategies significantly influence offspring performance and life history.
- Theoretical models suggest maternal effects can drive population cycles, but empirical evidence is limited.
- Previous research faced challenges in conducting simultaneous individual and population-level experiments.
Purpose of the Study:
- To investigate the maternal effect trade-off between fecundity and per-egg provisioning in Sancassania berlesei.
- To determine how maternal food availability and age influence this trade-off.
- To assess the multi-generational impact of maternal effects on population dynamics.
Main Methods:
- Conducted experiments on the soil mite Sancassania berlesei.
- Manipulated maternal provisioning by controlling food availability and age.
- Initiated populations with eggs of varying mean sizes to observe population dynamics over generations.
Main Results:
- A trade-off exists between maternal fecundity and protein provisioning per egg, influenced by maternal food and age.
- Populations initiated with different egg sizes exhibited distinct population dynamics for at least three generations.
- Initial cohort differences in growth, maturation, and fecundity affected subsequent generations' competitive environments and life histories.
Conclusions:
- Maternal effects can have significant, long-lasting consequences on population dynamics.
- These effects can cascade across generations by altering competitive environments.
- Maternal effects may play a crucial role in population dynamics, especially in temporally variable environments.