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Published on: July 30, 2019
Asymmetric competition causes multimodal size distributions in spatially structured populations
Jorge Velázquez1, Robert B Allen2, David A Coomes3
1School of Physics and Astronomy, The University of Nottingham, Nottingham NG7 2RD, UK Facultad de Ciencias Físico Matemáticas, Universidad Autónoma de Puebla, Puebla, Pue. 72001, México.
Asymmetric resource competition, not initial clustering, drives varied plant sizes in even-aged populations. Local competition determines the number and spacing of size groups, revealing competitor numbers.
Area of Science:
- Ecology
- Forestry
- Mathematical modeling
Background:
- Plant populations often show diverse size distributions, even under uniform conditions.
- Understanding the drivers of this size variation is crucial for ecological studies.
Purpose of the Study:
- To investigate the causes of multimodal plant size distributions in even-aged cohorts.
- To model tree growth and competition dynamics in a spatially explicit environment.
Main Methods:
- Developed an individual-based model for tree growth.
- Utilized data from a long-term New Zealand forest study for parameterization.
- Simulated spatially explicit competition and density-dependent mortality.
Main Results:
- Asymmetric resource competition is essential for creating multimodal size distributions.
- Initial spatial clustering effects on size distribution are temporary.
- Restricted resource capture domains lead to complex, multi-layered size distributions.
- The number of size modes correlates with the number of direct competitors.
Conclusions:
- Asymmetric competition within local neighborhoods is the primary driver of complex plant size distributions in even-aged cohorts.
- Spatial dynamics and competition intensity shape population structure.
- The model provides insights into forest stand dynamics and ecological competition theory.
Related Concept Videos
Competition
Distribution and Dispersion
Population Growth
Types of Selection
Microbial Interactions: Competition
Frequency-dependent Selection

