Population Uncertainty in Model Ecosystem: Analysis by Stochastic Differential Equation
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- Morita Satoru
- Department of Systems Engineering, Shizuoka University
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- Tainaka Kei-ichi
- Department of Systems Engineering, Shizuoka University
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- Nagata Hiroyasu
- Department of Systems Engineering, Shizuoka University
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- Yoshimura Jin
- Department of Systems Engineering, Shizuoka University
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Abstract
Perturbation experiments are carried out by the numerical simulations of a contact process and its mean-field version. Here, the mortality rate increases or decreases suddenly. It is known that fluctuation enhancement (FE) occurs after perturbation, where FE indicates population uncertainty. In the present paper, we develop a new theory of stochastic differential equation. The agreement between the theory and the mean-field simulation is almost perfect. This theory enables us to find a much stronger FE than that reported previously. We discuss the population uncertainty in the recovering process of endangered species.
Journal
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- Journal of the Physical Society of Japan
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Journal of the Physical Society of Japan 77 (9), 093801-093801, 2008
THE PHYSICAL SOCIETY OF JAPAN
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Keywords
Details 詳細情報について
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- CRID
- 1390282679174080128
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- NII Article ID
- 130005436971
- 110006933477
- 210000107413
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- NII Book ID
- AA00704814
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- ISSN
- 13474073
- 00319015
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- NDL BIB ID
- 9646285
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- Text Lang
- en
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed