Extinction risk and structure of a food web model
arXiv:0712.2654 · doi:10.1103/PhysRevE.77.031917
Abstract
We investigate in detail the model of a trophic web proposed by Amaral and Meyer [Phys. Rev. Lett. 82, 652 (1999)]. We focused on small-size systems that are relevant for real biological food webs and for which the fluctuations are playing an important role. We show, using Monte Carlo simulations, that such webs can be non-viable, leading to extinction of all species in small and/or weakly coupled systems. Estimations of the extinction times and survival chances are also given. We show that before the extinction the fraction of highly-connected species ("omnivores") is increasing. Viable food webs exhibit a pyramidal structure, where the density of occupied niches is higher at lower trophic levels, and moreover the occupations of adjacent levels are closely correlated. We also demonstrate that the distribution of the lengths of food chains has an exponential character and changes weakly with the parameters of the model. On the contrary, the distribution of avalanche sizes of the extinct species depends strongly on the connectedness of the web. For rather loosely connected systems we recover the power-law type of behavior with the same exponent as found in earlier studies, while for densely-connected webs the distribution is not of a power-law type.
9 pages, 15 figures
References in corpus (10)
- Statistical mechanics of complex networks
- Biological Evolution and Statistical Physics
- Robust Patterns in Food Web Structure
- Analytical solution of a model for complex food webs
- Punctuated equilibria and 1/f noise in a biological coevolution model with individual-based dynamics
- Extinction events and species lifetimes in a simple ecological model
- Ecological model of extinctions
- A food-web based unified model of "macro"- and "micro-" evolution
- Extinction dynamics of Lotka-Volterra ecosystems on evolving networks
- Unified "micro"- and "macro-" evolution of eco-systems: Self-organization of a dynamic network