dorsal/arxiv
View SchemaEvolutionary ecology in-silico:evolving foodwebs, migrating population and speciation
| Authors | Dietrich Stauffer, Ambarish Kunwar, Debashish Chowdhury |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0403040 |
| URL | https://arxiv.org/abs/q-bio/0403040 |
| DOI | 10.1016/j.physa.2004.12.036 |
Abstract
We have generalized our ``unified'' model of evolutionary ecology by taking into account the possible movements of the organisms from one ``patch'' to another within the same eco-system. We model the spatial extension of the eco-system (i.e., the geography) by a square lattice where each site corresponds to a distinct ``patch''. A self-organizing hierarchical food web describes the prey-predator relations in the eco-system. The same species at different patches have identical food habits but differ from each other in their reproductive characteristic features. By carrying out computer simulations up to $10^9$ time steps, we found that, depending on the values of the set of parameters, the distribution of the lifetimes of the species can be either exponential or a combination of power laws. Some of the other features of our ``unified'' model turn out to be robust against migration of the organisms.
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"abstract": "We have generalized our ``unified\u0027\u0027 model of evolutionary ecology by taking\ninto account the possible movements of the organisms from one ``patch\u0027\u0027 to\nanother within the same eco-system. We model the spatial extension of the\neco-system (i.e., the geography) by a square lattice where each site\ncorresponds to a distinct ``patch\u0027\u0027. A self-organizing hierarchical food web\ndescribes the prey-predator relations in the eco-system. The same species at\ndifferent patches have identical food habits but differ from each other in\ntheir reproductive characteristic features. By carrying out computer\nsimulations up to $10^9$ time steps, we found that, depending on the values of\nthe set of parameters, the distribution of the lifetimes of the species can be\neither exponential or a combination of power laws. Some of the other features\nof our ``unified\u0027\u0027 model turn out to be robust against migration of the\norganisms.",
"arxiv_id": "q-bio/0403040",
"authors": [
"Dietrich Stauffer",
"Ambarish Kunwar",
"Debashish Chowdhury"
],
"categories": [
"q-bio.PE",
"q-bio.QM"
],
"doi": "10.1016/j.physa.2004.12.036",
"title": "Evolutionary ecology in-silico:evolving foodwebs, migrating population and speciation",
"url": "https://arxiv.org/abs/q-bio/0403040"
},
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