Self-Similarity and Scaling in Forest Communities
arXiv:1005.1265 · doi:10.1073/pnas.1000137107
Abstract
Ecological communities exhibit pervasive patterns and inter-relationships between size, abundance, and the availability of resources. We use scaling ideas to develop a unified, model-independent framework for understanding the distribution of tree sizes, their energy use and spatial distribution in tropical forests. We demonstrate that the scaling of the tree crown at the individual level drives the forest structure when resources are fully used. Our predictions match perfectly with the scaling behaviour of an exactly solvable self-similar model of a forest and are in good accord with empirical data. The range, over which pure power law behaviour is observed, depends on the available amount of resources. The scaling framework can be used for assessing the effects of natural and anthropogenic disturbances on ecosystem structure and functionality.
17 Pages, 4 Figures, 1 Table, 1 Supporting Information
Cited by in corpus (6)
- Colloquium: Criticality and dynamical scaling in living systems
- An allometry-based approach for understanding forest structure, predicting tree-size distribution and assessing the degree of disturbance
- Covariations in ecological scaling laws fostered by community dynamics
- Growth or Reproduction: Emergence of an Evolutionary Optimal Strategy
- Allometric Exponent and Randomness
- Buildings as Species: Competition and Scaling Rules in Cities