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| Author(s): |
Lucas Dias Fernandes
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | Campinas, SP. |
| Institution: | Universidade Estadual de Campinas (UNICAMP). Instituto de Física Gleb Wataghin |
| Defense date: | 2012-03-23 |
| Examining board members: |
Marcus Aloizio Martinez de Aguiar;
Ricardo Egydio de Carvalho;
José Antonio Brum
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| Advisor: | Marcus Aloizio Martinez de Aguiar |
| Abstract | |
Reaction-diffusion systems may lead, under certain conditions, to the formation of steady state heterogeneous spatial patterns. Named Turing patterns (or Turing instabilities) after Alan Turing's work, their mathematical formulation is important for the study of pattern formation in general and play central roles in many elds of biology, such as ecology and morphogenesis. In the present study, we focus on the role of Turing patterns in describing the abundance distribution of species distributed in patches in a scale free network structure, connected by diffusion. In order to study pattern formation in larger trophic food webs, we have extended the original prey-predator model proposed by Nakao and Mikhailov (Nature Physics, 2010) by including additional prey-predator pairs. We observed not only Turing patterns, but also transitions between chaotic, synchronized and stationary regimes, depending on the system parameters. In the case of stationary patterns in trophic webs with 6 species, we identified non trivial prey distributions in the networks nodes, depending on the coupling strength between prey-predator pairs, suggesting that effects of apparent competition are important in the observed patterns. Our results suggest that differences in abundance distribution among patches may be, at least in part, due to self organized Turing patterns, and not necessarily to intrinsic environmental heterogeneities (AU) | |
| FAPESP's process: | 10/13017-0 - Turing patterns and dynamical processes in complex networks. |
| Grantee: | Lucas Dias Fernandes |
| Support Opportunities: | Scholarships in Brazil - Master |