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Published on: November 1, 2017
Determining the functional form of density dependence: deductive approaches for consumer-resource systems having a
1Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, Ontario M5S 3G5, Canada. peter.abrams@utoronto.ca
Consumer-resource models reveal how population size changes with mortality. Density dependence in consumers often shows complex patterns, unlike simpler models, impacting conservation strategies.
Area of Science:
- Ecology
- Population Dynamics
- Theoretical Biology
Background:
- Consumer-resource models are crucial for understanding population dynamics.
- Density dependence, how population size affects birth/death rates, is key to ecological stability.
- Existing models like the theta-logistic may oversimplify consumer density dependence.
Purpose of the Study:
- To propose a general method for determining the functional form of consumer density dependence.
- To explore how consumer mortality rates influence equilibrium population sizes.
- To investigate the inheritance of density dependence characteristics from resources to consumers.
Main Methods:
- Analyzing equilibrium population sizes across various harvest (mortality) rates.
- Utilizing several one-consumer/one-resource models.
- Examining the relationship between consumer mortality and its equilibrium population size.
Main Results:
- Consumer density dependence often exhibits both concave and convex segments, a feature absent in the theta-logistic model.
- Resource density dependence and response shapes are frequently inherited by the consumer.
- Predicted consumer population size shows a non-monotonic response to mortality, declining at low and high rates but remaining stable or increasing at intermediate rates.
Conclusions:
- Consumer-resource models provide a more realistic depiction of density dependence than simpler models.
- The complex density dependence has significant implications for managing and conserving natural populations.
- Understanding these dynamics is vital for effective ecological management and policy.
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