| Modelling metapopulations with stochastic membrane systems. | |
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MedLine Citation:
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PMID: 17904729 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Metapopulations, or multi-patch systems, are models describing the interactions and the behavior of populations living in fragmented habitats. Dispersal, persistence and extinction are some of the characteristics of interest in ecological studies of metapopulations. In this paper, we propose a novel method to analyze metapopulations, which is based on a discrete and stochastic modelling framework in the area of Membrane Computing. New structural features of membrane systems, necessary to appropriately describe a multi-patch system, are introduced, such as the reduction of the maximal parallel consumption of objects, the spatial arrangement of membranes and the stochastic creation of objects. The role of the additional features, their meaning for a metapopulation model and the emergence of relevant behaviors are then investigated by means of stochastic simulations. Conclusive remarks and ideas for future research are finally presented. |
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Authors:
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Daniela Besozzi; Paolo Cazzaniga; Dario Pescini; Giancarlo Mauri |
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Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't; Review Date: 2007-08-11 |
Journal Detail:
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Title: Bio Systems Volume: 91 ISSN: 0303-2647 ISO Abbreviation: BioSystems Publication Date: 2008 Mar |
Date Detail:
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Created Date: 2008-02-15 Completed Date: 2008-04-30 Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 0430773 Medline TA: Biosystems Country: Ireland |
Other Details:
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Languages: eng Pagination: 499-514 Citation Subset: IM |
Affiliation:
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Università degli Studi di Milano, Dipartimento di Informatica e Comunicazione, Via Comelico 39, 20135 Milano, Italy. besozzi@dico.unimi.it |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms* Computer Simulation Gene Expression Profiling / methods Gene Expression Regulation / physiology* Models, Biological* Models, Statistical Proteome / metabolism* Signal Transduction / physiology* Software* Stochastic Processes Systems Biology / methods* |
| Chemical | |
Reg. No./Substance:
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0/Proteome |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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