Phase separation explains a new class of self-organized spatial patterns in ecological systems
Liu, Q.X.; Doelman, A.; Rottschäfer, V.; de Jager, M.; Herman, P.M.J.; Rietkerk, M.; van de Koppel, J. (2013). Phase separation explains a new class of self-organized spatial patterns in ecological systems. Proc. Natl. Acad. Sci. U.S.A. 110(29): 11905-11910. dx.doi.org/10.1073/pnas.1222339110
In: Proceedings of the National Academy of Sciences of the United States of America. The Academy: Washington, D.C.. ISSN 0027-8424; e-ISSN 1091-6490, meer
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| Author keywords |
mussels; mathematical model; spatial self-organization; animal aggregation |
| Auteurs | | Top |
- Liu, Q.X., meer
- Doelman, A.
- Rottschäfer, V.
- de Jager, M., meer
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- Herman, P.M.J., meer
- Rietkerk, M.
- van de Koppel, J., meer
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| Abstract |
The origin of regular spatial patterns in ecological systems has long fascinated researchers. Turing's activator-inhibitor principle is considered the central paradigm to explain such patterns. According to this principle, local activation combined with long-range inhibition of growth and survival is an essential prerequisite for pattern formation. Here, we show that the physical principle of phase separation, solely based on density-dependent movement by organisms, represents an alternative class of self-organized pattern formation in ecology. Using experiments with self-organizing mussel beds, we derive an empirical relation between the speed of animal movement and local animal density. By incorporating this relation in a partial differential equation, we demonstrate that this model corresponds mathematically to the wellknown Cahn-Hilliard equation for phase separation in physics. Finally, we show that the predicted patterns match those found both in field observations and in our experiments. Our results reveal a principle for ecological self-organization, where phase separation rather than activation and inhibition processes drives spatial pattern formation. |
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